CN117846707B - Mine geotechnical engineering emergency linkage monitoring method based on accurate positioning - Google Patents
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Abstract
The disclosure provides an emergency linkage monitoring method for mine geotechnical engineering based on accurate positioning, and relates to the technical field of mining data processing. The method comprises the following steps: acquiring underground mine environment monitoring data and environment reference data, and determining a monitoring data conversion value and an abnormal ratio according to the acquired data; if the abnormal ratio shows that the underground mine environment state is a dangerous state, the underground environment early warning type and the early warning level determined based on the monitoring data conversion value and the abnormal ratio are matched with emergency rescue treatment measures, and an associated emergency linkage terminal is started according to the emergency rescue treatment measures to realize emergency linkage rescue. According to the technical scheme, the accuracy of data detected by the sensor can be improved, the recognition accuracy is guaranteed, the false alarm rate is reduced, meanwhile, an emergency rescue scheme can be automatically generated according to the early warning type and the early warning level, related emergency rescue resources are called to realize emergency linkage rescue, and the response speed of the emergency linkage rescue is improved.
Description
Technical Field
The disclosure relates to the technical field of mining data processing, in particular to an emergency linkage monitoring method for mine geotechnical engineering based on accurate positioning.
Background
The mine geotechnical engineering emergency linkage monitoring system based on accurate positioning collects various data in the mine production process in real time through various sensors and monitoring equipment, and transmits the collected data to a data processing center in real time through a wired or wireless communication technology, and early warning and alarming are carried out on potential safety hazards, equipment faults and other problems possibly occurring in the mine production process according to data analysis results, so that mine enterprises are helped to take measures in time, and accidents are prevented.
At present, the related technology directly uses the measured value on the sensor to judge the dangerous state of the underground operation environment, and carries out corresponding early warning, so that the false alarm rate is higher, the accuracy of the recognized early warning result is lower, and the effectiveness of emergency linkage measures is reduced; meanwhile, each sensor needs to be provided with a corresponding collector, and when the signal conversion result of a certain type of sensor in signal conversion is distorted or misaligned, the accuracy of the collected data of the corresponding type of sensor is reduced or fails.
Disclosure of Invention
Aiming at the defects of the related technology, the invention provides an emergency linkage monitoring method for mine geotechnical engineering based on accurate positioning, which further solves the problems of data acquisition distortion misalignment and poor effectiveness of emergency linkage measures in the related scheme at least to a certain extent.
According to a first aspect of embodiments of the present disclosure, there is provided a mine geotechnical engineering emergency linkage monitoring method based on accurate positioning, the method is applied to a mine geotechnical engineering emergency linkage monitoring system based on accurate positioning, the system is in communication connection with various sensors in the pit through a unified collector, and a data normalization processor, a data converter and a multi-type sensor driving circuit are arranged in the collector, the method includes:
Acquiring underground mine environment monitoring data and environment reference data;
determining a monitoring data conversion value and an abnormal ratio value based on the underground mine environment monitoring data and environment reference data;
Determining an underground mine environment state according to the abnormal ratio, if the underground mine environment state is determined to be a dangerous state, determining an underground environment early warning type and an underground environment early warning level based on the monitoring data conversion value and the abnormal ratio, and matching emergency rescue treatment measures through the underground environment early warning type and the underground environment early warning level;
and starting the associated emergency linkage terminal according to the emergency rescue treatment measures so as to realize emergency linkage rescue through the started emergency linkage terminal.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:
The mine geotechnical engineering emergency linkage monitoring method based on accurate positioning is applied to a mine geotechnical engineering emergency linkage monitoring system based on accurate positioning, the system is in communication connection with various underground sensors through a unified collector, a data normalization processor, a data converter and a multi-type sensor driving circuit are arranged in the collector, underground mine environment monitoring data and environment reference data can be obtained, a monitoring data conversion value and an abnormal ratio are determined according to the underground mine environment monitoring data and the environment reference data, when the underground mine environment state is determined to be in a dangerous state according to the abnormal ratio, an underground environment early warning type and an underground environment early warning level can be determined based on the monitoring data conversion value and the abnormal ratio, so that emergency rescue measures can be matched through the underground environment early warning type and the underground environment early warning level, and then an associated emergency linkage terminal can be started according to the emergency rescue measures, and emergency rescue can be realized through the started emergency linkage terminal. On one hand, the real measured value of the sensor is obtained by determining the conversion value of the monitoring data, so that the underground environment danger level is determined by combining the abnormal ratio, the accuracy and the precision of the data processing process are improved, and the effectiveness of the selected emergency linkage measures is ensured; on the other hand, a plurality of sensor interfaces are configured in one collector at the same time, and normalization processing is carried out on the acquired sensor signals of the plurality of types, so that the problem of data distortion or misalignment of a data acquisition link is avoided, and the accuracy of the data acquisition process is improved; in still another aspect, an emergency rescue scheme can be automatically generated according to the early warning type and the early warning level, and related emergency rescue resources are called to realize emergency linkage rescue, so that the response speed of the emergency linkage rescue is improved, and the emergency linkage rescue efficiency is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is an exemplary diagram of a scenario illustrating a mine geotechnical engineering emergency linkage monitoring method based on accurate positioning according to an exemplary embodiment of the present disclosure.
Fig. 2 is a flow chart of a mine geotechnical engineering emergency linkage monitoring method based on accurate positioning according to an exemplary embodiment of the present disclosure.
FIG. 3 is a flow chart illustrating determining a downhole environmental risk level based on monitoring data conversion values and anomaly ratios according to an exemplary embodiment of the present disclosure.
Fig. 4 is an overall flowchart of a mine geotechnical engineering emergency linkage monitoring method based on accurate positioning according to an exemplary embodiment of the present disclosure.
Fig. 5 is a block diagram of a mine geotechnical engineering emergency linkage monitoring system based on accurate positioning according to an exemplary embodiment of the present disclosure.
Fig. 6 is a schematic diagram of a structure of an electronic device according to an exemplary embodiment of the disclosure for implementing an embodiment of the disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
Fig. 1 shows an exemplary diagram of a scenario in which an emergency linkage monitoring method for mine geotechnical engineering based on accurate positioning may be applied to embodiments of the present disclosure.
As shown in fig. 1, the scenario architecture may include a sensor 100, a collector 200, a server 300, and a terminal device 400. The terminal device 400 may be an electronic device that transmits information.
It should be understood that the number of sensors 100, collectors 200, servers 300, and terminal devices 400 in fig. 1 is merely illustrative. There may be any number of sensors 100, collectors 200, servers 300 and terminal devices 400, such as a server cluster formed by a plurality of servers, where the sensors 100 and the servers 300 may be any number of servers, as required by the implementation.
In the embodiment of the disclosure, at least one collector 200 is provided, all the interfaces of the sensors may be provided on one collector to collect all the underground mine environment monitoring data, or the sensors 100 may be divided into a plurality of areas when facing the plurality of sensors 100, and one collector 200 is provided for each area, where the number of collectors 200 is smaller than the number of sensors 100, and this embodiment is not particularly limited.
The mine geotechnical engineering emergency linkage monitoring method based on accurate positioning provided by the embodiment of the disclosure can be executed by the terminal equipment 400, and accordingly, the mine geotechnical engineering emergency linkage monitoring system based on accurate positioning can be arranged in the terminal equipment 400. However, it is easily understood by those skilled in the art that the mine geotechnical engineering emergency linkage monitoring method based on the accurate positioning provided by the embodiment of the present disclosure may also be executed by the server 300, and accordingly, the mine geotechnical engineering emergency linkage monitoring system based on the accurate positioning may also be provided in the server 300, which is not particularly limited in this exemplary embodiment.
The following problems exist in the related art:
because environmental factors in the underground mine have a certain negative effect on data acquisition of the sensor, the data acquired by the sensor is distorted or misaligned, and the judgment of the subsequent underground environment dangerous state is influenced; meanwhile, a collector is arranged on each sensor, and when signal conversion in the sensor is out of order, the data collection accuracy of the corresponding sensor can be directly affected.
Based on one or more problems in related schemes, the embodiment of the disclosure firstly provides a mine geotechnical engineering emergency linkage monitoring method based on accurate positioning, and the accuracy of underground environment dangerous state judgment can be enhanced by improving the accuracy of data acquisition. Taking a server to execute the method as an example, the mine geotechnical engineering emergency linkage monitoring method based on accurate positioning in the embodiment of the disclosure is described below, and referring to fig. 2, the mine geotechnical engineering emergency linkage monitoring method based on accurate positioning in the embodiment of the disclosure may include the following steps:
step S201, acquiring underground mine environment monitoring data and environment reference data;
step S202, determining a monitoring data conversion value and an abnormal ratio based on underground mine environment monitoring data and environment reference data;
Step S203, determining an underground mine environment state according to the abnormal ratio, if the underground mine environment state is determined to be a dangerous state, determining an underground environment early warning type and an underground environment early warning level based on the monitoring data conversion value and the abnormal ratio, and matching emergency rescue treatment measures through the underground environment early warning type and the underground environment early warning level;
Step S204, starting the associated emergency linkage terminal according to the emergency rescue treatment measures so as to realize emergency linkage rescue through the started emergency linkage terminal.
According to the mine geotechnical engineering emergency linkage monitoring method based on accurate positioning in the disclosed example embodiment, on one hand, the real measured value of the sensor is obtained by determining the monitoring data conversion value, so that the underground environment danger level is determined by combining the abnormal ratio, the accuracy and the accuracy of the data processing process are improved, and the effectiveness of the selected emergency linkage measure is ensured; on the other hand, a plurality of sensor interfaces are configured in one collector at the same time, and normalization processing is carried out on the acquired sensor signals of the plurality of types, so that the problem of data distortion or misalignment of a data acquisition link is avoided, and the accuracy of the data acquisition process is improved; in still another aspect, an emergency rescue scheme can be automatically generated according to the early warning type and the early warning level, and related emergency rescue resources are called to realize emergency linkage rescue, so that the response speed of the emergency linkage rescue is improved, and the emergency linkage rescue efficiency is improved.
Next, step S201 to step S204 will be described in detail.
In step S201, underground mine environment monitoring data and environment reference data are acquired.
In an example embodiment of the present disclosure, the underground mine environment monitoring data refers to various types of data collected in the underground mine environment by a series of sensors and devices. The underground mine environment monitoring data is past first environment monitoring data and second environment monitoring data, the first environment monitoring data is monitoring data which directly influences the underground environment dangerous degree, for example, the first environment monitoring data can comprise at least one of gas monitoring data, carbon monoxide monitoring data and wind speed monitoring data, the second environment monitoring data is monitoring data which can influence the accuracy of the measured value of the first environment monitoring data, for example, the second environment monitoring data can comprise at least one of temperature monitoring data, humidity monitoring data and air pressure monitoring data.
Specifically, the working principle of the gas sensor is that the gas and a semiconductor material element in the sensor undergo oxidation-reduction reaction, so that the resistance value of the element is changed, the gas concentration can be determined by measuring the change of the resistance value, and the temperature can influence the measurement of the gas monitoring data by the gas sensor because the temperature can influence the change of the refractive index caused by the density of the gas. The working principle of the carbon monoxide sensor is that when carbon monoxide reacts with oxygen at high temperature, current output is generated, so that the concentration of carbon monoxide can be monitored by detecting the output of the current, and the humidity can influence the adsorption and desorption processes of gas on the surface of the sensor, so that the humidity monitoring data can influence the measurement of the carbon monoxide monitoring data by the carbon monoxide sensor. The working principle of the wind speed sensor is based on the relation between the air flow rate and the pressure difference, the sensing part of the wind speed sensor consists of three or four conical or hemispherical empty cups, the whole transverse arm support is fixed on a vertical rotating shaft, when wind blows through the empty cups, the cups can generate rotating motion, so that the pointer is driven to point to corresponding wind speed scales, as the gas density changes along with the change of the air pressure, the air density is small, the monitoring wind speed value is larger in a low-pressure environment, and the air density is large, the monitoring wind speed value is smaller in a high-pressure environment, so that the air pressure monitoring data can influence the measurement of the wind speed monitoring data.
The environmental reference data refers to a series of standardized data that are referenced when operating on underground mine environmental monitoring data. In an example embodiment of the present disclosure, the environmental reference data includes environmental reference monitoring data, sensor reference compensation data, and sensor limit reference data. The environmental reference monitoring data refers to environmental data required by the sensor in a normal working state, the sensor reference compensation data refers to a difference value between the environmental data in which the sensor is in an actual working state and the environmental data required in the normal working state, the sensor limit reference data refers to a maximum value or a minimum value of working environmental data set by a pointer for a specific type of sensor equipment, and when the environmental data in which the sensor is located exceeds or falls below the set values, the sensor may not work normally or even be damaged.
The underground mine environment monitoring data may be obtained in real time, or may be buffered in a short time and then batch-transmitted to the server according to a predetermined time, for example, the collected data may be temporarily stored in a local device, and then the buffered data may be batch-uploaded to the server through a network connection within a predetermined time, and the time may be set to be 1 minute, 10 minutes, half hour, etc., which is not particularly limited in this example embodiment.
In step S202, monitoring data conversion values and anomaly ratios are determined based on the underground mine environment monitoring data and environment reference data.
In an example embodiment of the present disclosure, the monitoring data conversion value refers to a true value of environmental monitoring data obtained by adjusting or correcting the data monitored by the sensor. The adjustment or modification may include some form of mathematical transformation of the data, such as logarithmic transformation, square root transformation, etc., or may include calibrating or calibrating the data to eliminate systematic errors of the sensor itself, or may include adjusting the data according to the relationship between the influencing factors and the errors, which is not particularly limited in this example embodiment. For example, if the sensor is subject to interference in a high humidity environment to produce a large reading, and is relatively stable in a low humidity environment, then some adjustments or corrections may be made to the data in the high humidity environment to make it more realistic.
The abnormal ratio is the ratio of the value acquired by each sensor to the limit value of the sensor, is used for measuring whether the environment under the mine is abnormal, and the partial abnormal ratio is the ratio of underground mine environment monitoring data which can influence certain sensor monitoring data to corresponding sensor limit reference data. If the partial abnormal ratio is larger than 1, the underground mine environment monitoring data monitored by the sensor exceeds the normal range, and potential safety hazards exist, otherwise, if the partial abnormal ratio is smaller than 1, the value of the underground mine environment monitoring data is within the normal acceptable range. The abnormal ratio can comprehensively reflect the safety condition of the whole mine environment, and if the abnormal ratio exceeds a certain safety threshold, condition early warning and safety inspection are needed immediately.
In step S203, determining an underground mine environment state according to the abnormal ratio, if it is determined that the underground mine environment state is a dangerous state, determining an underground environment early warning type and an underground environment early warning level based on the monitored data conversion value and the abnormal ratio, and matching an emergency rescue treatment measure through the underground environment early warning type and the underground environment early warning level.
In an example embodiment of the present disclosure, the downhole environment early warning type is a type for displaying possible accident risks under the mine, for example, the downhole environment early warning type may be an explosive environment early warning type caused by too high gas concentration, a toxic environment early warning type caused by too high carbon monoxide concentration, or a high pressure environment early warning type caused by too low wind speed value, which is, of course, only illustrative, and specifically may be set in a customized manner according to practical situations, and the present example embodiment is not limited in this way.
The underground environment early warning level refers to a parameter for measuring a risk level corresponding to a current underground environment early warning type, for example, the underground environment early warning type can be an explosive environment early warning type, and correspondingly, the underground environment early warning level can be divided into a primary explosive environment early warning, a secondary explosive environment early warning, a tertiary explosive environment early warning and a quaternary explosive environment early warning, and the smaller the number is, the higher the risk level is indicated. Of course, the downhole environment early warning level is only schematically illustrated, and specifically, the downhole environment early warning level can be set in a self-defined manner according to practical situations, and the embodiment of the present invention is not limited in particular.
The emergency rescue treatment measures refer to corresponding treatment measure contents which are proposed for different early warning types and early warning levels and are proposed in the emergency rescue treatment plan file after examination and approval.
The underground mine environment state can be determined according to the abnormal ratio, if the underground mine environment state is determined to be a dangerous state, the underground environment early warning type and the underground environment early warning level can be determined based on the monitoring data conversion value and the abnormal ratio, and the emergency rescue treatment measures are matched through the underground environment early warning type and the underground environment early warning level.
In step S204, an associated emergency linkage terminal is started according to the emergency rescue handling measure, so as to implement emergency linkage rescue through the started emergency linkage terminal.
In an example embodiment of the present disclosure, the emergency linkage terminal refers to a setting for implementing emergency linkage rescue, for example, the emergency linkage terminal may be an audible and visual alarm terminal for notifying personnel of a related emergency rescue organization, a real-time monitoring terminal for feeding back emergency rescue data, or an accurate positioning terminal for positioning each temporary emergency rescue object under a mine, or an environment control terminal for adjusting an environment under the mine to implement emergency rescue, and of course, the emergency linkage terminal may also be two or more of the above devices, which is not particularly limited in this example embodiment.
For example, the emergency rescue treatment measures can be notifying the related emergency rescue staff to perform emergency rescue actions, then displaying emergency early warning data to the related monitoring staff, and performing technical support and data recording by the related professionals; meanwhile, nearby rescue resources are scheduled to realize temporary emergency rescue, and pollution isolation and environmental protection are carried out on underground environment. Correspondingly, the associated audible and visual alarm terminal can be started according to the early warning notification measures in the emergency rescue treatment measures, so that the audible and visual alarm terminal can remind personnel of an emergency rescue working mechanism to carry out emergency rescue actions; the related real-time monitoring terminal can be started according to the data feedback measures in the emergency rescue treatment measures, so that the real-time monitoring terminal can display the monitoring data conversion value, the abnormal ratio, the underground environment early warning type, the underground environment early warning level, the response state of each emergency rescue worker and other data such as an underground environment real-time image and the like; the associated accurate positioning terminal can be started according to nearby rescue resource mobilization measures in emergency rescue treatment measures, so that nearby rescue objects near the underground environment early-warning position can be notified through the accurate positioning terminal to perform emergency rescue actions; the associated environment control terminal can be started according to the environmental emergency rescue equipment scheduling measures in the emergency rescue treatment measures, so that the underground environment early-warning position can be isolated from pollution and protected from environment through the environment control terminal.
The real measured value of the sensor is obtained by determining the monitoring data conversion value, so that the underground environment danger level is determined by combining the abnormal ratio, the accuracy and the precision of the data processing process are improved, and the effectiveness of the selected emergency linkage measures is ensured; the sensor interfaces of multiple types are configured in the same collector at the same time, and the acquired sensor signals of multiple types are normalized, so that the problem of data distortion or misalignment of a data acquisition link is avoided, and the accuracy of a data acquisition process is improved; the emergency rescue scheme can be automatically generated according to the early warning type and the early warning level, and related emergency rescue resources are called to realize emergency linkage rescue, so that the response speed of the emergency linkage rescue is improved, and the emergency linkage rescue efficiency is improved.
The technical solutions involved in step S201 to step S204 are explained in detail below.
In an exemplary embodiment of the present disclosure, the following steps may be implemented:
the monitoring data conversion value may be determined based on the first environmental monitoring data, the second environmental monitoring data, the environmental reference data, and the sensor reference compensation data, and the anomaly ratio may be determined based on the second environmental monitoring data and the sensor limit reference data.
The difference value between the second environmental monitoring data and the environmental reference data can be calculated, and then the sensor compensation data is combined to calculate the error value of the first environmental monitoring data caused by the abnormality of the second environmental monitoring data, so that the monitoring data conversion value can be calculated according to the first environmental monitoring data and the error value, that is, the real numerical value corresponding to the first environmental monitoring data, a large amount of the first environmental monitoring data, the second environmental monitoring data, the environmental reference data and the sensor reference compensation data can be collected as training samples, a far linear regression model or a neural network model is trained, and the monitoring data conversion value is determined by inputting the data into the model.
By correcting the first environment monitoring data, the monitoring data conversion value capable of reflecting the underground real environment is obtained, workers can be helped to better understand and analyze the environment monitoring data, the accuracy of the environment monitoring data is improved, meanwhile, the first environment monitoring data is self-calibrated, manual intervention can be reduced, and the working efficiency of the system is improved.
In an exemplary embodiment of the present disclosure, the monitoring data conversion value includes a gas conversion value, a carbon monoxide conversion value, and a wind speed conversion value, the environmental reference data includes a temperature reference data, a humidity reference data, and a barometric pressure reference data, the sensor reference compensation data includes a gas sensor reference compensation data, and the carbon monoxide sensor reference compensation data and the wind speed sensor reference compensation data, while determining the monitoring data conversion value based on the first environmental monitoring data, the second environmental monitoring data, the environmental reference data, and the sensor reference compensation data may be implemented.
Specifically, the gas conversion value may be determined by the following formula (1):
; formula (1)
Wherein,Representing the gas conversion value,/>Representing gas monitoring data,/>Representing the temperature-monitoring data of the temperature,Representing temperature reference data,/>And representing the reference compensation data of the gas sensor corresponding to each degree of temperature difference.
The carbon monoxide conversion value can be determined by the following formula (2):
; formula (2)
Wherein,Representing carbon monoxide conversion value,/>Representing carbon monoxide monitoring data,/>Representing humidity monitoring data,/>Representing humidity reference data,/>Representing carbon monoxide sensor reference compensation data corresponding to each percentage humidity difference.
The wind speed conversion value may be determined by the following formula (3):
; formula (3)
Wherein,Representing wind speed transition value,/>Representing wind speed monitoring data,/>Representing barometric pressure monitoring data,/>Representing barometric pressure reference data,/>And representing the reference compensation data of the wind speed sensor corresponding to the air pressure difference per pascal.
By monitoring and self-correcting the underground gas concentration, the carbon monoxide concentration and the wind speed, the situation that personnel are poisoned and choked to die due to the too high carbon monoxide concentration and underground gas explosion is caused by the too high gas concentration or the too high wind speed can be avoided, the working safety of underground workers is improved, meanwhile, the self-corrected data have higher credibility and accuracy than the original monitoring data, and the guarantee is provided for the accuracy of the subsequent underground safety state judgment.
In an exemplary embodiment of the present disclosure, the sensor limit reference data includes temperature sensor limit reference data, humidity sensor limit reference data, and air pressure sensor limit reference data, while determining the anomaly ratio based on the second environmental monitoring data and the sensor limit reference data may be implemented.
The anomaly ratio can be determined by the following equation (4):
; formula (4)
Wherein,Representing anomaly ratio,/>Representing temperature monitoring data,/>Representing humidity monitoring data,/>Representing barometric pressure monitoring data,/>Representing temperature sensor limit reference data,/>Representing humidity sensor limit reference data,Representing barometric sensor limit reference data.
Compared with a single evaluation index, the deviation degree of the second environment monitoring data is comprehensively evaluated, the underground safety condition can be more accurately and comprehensively reflected, the accuracy and sensitivity of underground safety monitoring are improved, the safety of underground operation is enhanced, meanwhile, the data of each sensor is converted into an abnormal ratio, the data processing flow is simplified, and the information processing efficiency is improved.
In an exemplary embodiment of the present disclosure, determining an environmental state of an underground mine according to an anomaly ratio may be achieved by:
The preset abnormal ratio threshold value can be obtained, if the abnormal ratio is determined to be greater than or equal to the abnormal ratio threshold value, the state of the underground mine environment is determined to be a dangerous state, and if the abnormal ratio is determined to be less than the abnormal ratio threshold value, the state of the underground mine environment is determined to be a safe state.
The abnormal ratio threshold is a parameter for measuring the dangerous state of the downhole environment, for example, the abnormal ratio threshold is 300% or 200%, and specifically may be set in a self-defined manner according to the actual use condition, which is not particularly limited in this exemplary embodiment.
Optionally, a dangerous extremum can be set for each of the gas monitoring data, the carbon monoxide monitoring data, the wind speed monitoring data, the temperature monitoring data, the humidity monitoring data and the air pressure monitoring data according to the underground actual conditions, and the underground environment dangerous level is directly determined to be the highest dangerous level as long as a certain monitoring data or a conversion value thereof is greater than or equal to the corresponding dangerous extremum without calculating the underground dangerous coefficient at the moment.
In an exemplary embodiment of the present disclosure, referring to FIG. 3, determining a downhole environmental risk level based on monitoring data conversion values and anomaly ratios may be accomplished by:
in step S301, preset risk level weight data is acquired;
In step S302, a risk coefficient is determined based on the risk level weight data, the monitored data conversion value, and the anomaly ratio value;
In step S303, a downhole environmental risk level is determined based on the risk coefficient.
The risk level weight data refers to weight distribution data of the influence of the monitored data conversion value and the abnormal ratio on the risk level. In the embodiment of the disclosure, the risk level weight data includes conversion value weight data and abnormal ratio weight data. For example, the conversion value weight data may be set to 0.4, the corresponding abnormal ratio weight data may be set to 0.6, or the conversion value weight data may be set to 0.5, the corresponding abnormal ratio weight data may be set to 0.8, etc., specifically, the conversion value weight data may be further divided into gas weight data, carbon monoxide weight data and wind speed weight data, which may reflect the importance of the two and may adjust the contribution of each input value to the output result, which is not particularly limited in this exemplary embodiment.
Alternatively, the risk level weight data may be obtained from a database, or may be obtained from a specific configuration file, or may be obtained from a memory buffer, where the manner of obtaining the risk level weight data is not particularly limited in this example embodiment.
The risk factor can be determined by the following equation (5):
; formula (5)
Wherein,Representing risk factors,/>Representing gas weight data,/>Representing carbon monoxide weight data,/>Representing wind speed weight data,/>Representing the gas conversion value,/>Representing wind speed transition value,/>Representing carbon monoxide conversion value,/>Representing outlier ratio weight data,/>Representing the anomaly ratio.
The underground environmental risk level refers to a risk level classified and evaluated according to various environmental risk factors inside the mine, and these risks may include gas explosion or oxygen deficiency of underground personnel due to abnormality of temperature, humidity and wind speed, etc. In the example embodiments of the present disclosure, the downhole environmental risk level may be classified into low risk, medium risk, high risk, and extremely high risk, and may be classified into primary risk, secondary risk, and tertiary risk, etc., which the example embodiments are not particularly limited to.
The environmental risk level can be divided according to the value of the abnormal ratio, the value of the abnormal ratio is divided into different environmental risk levels in different intervals, the monitoring data conversion value and the underground environmental risk level can be comprehensively evaluated, if corresponding weight data are set, the monitoring data conversion value and the underground environmental risk level are multiplied by the corresponding weight data respectively and then summed, and finally a specific environmental risk level is determined according to the operation result, and when a certain monitoring data conversion value seriously exceeds the standard, the monitoring data conversion value can be directly divided into the highest risk level, so that early warning can be carried out in the shortest time, and the embodiment of the invention does not limit the method in particular.
After the preset dangerous grade weight data are obtained, the dangerous coefficient is determined by comprehensively considering the dangerous grade weight data, the monitoring data conversion value and the abnormal ratio, the danger of the underground environment can be estimated more accurately and more in real time, and the safety of staff is further improved.
In an exemplary embodiment of the present disclosure, the matching of emergency rescue treatment measures by the downhole environment pre-warning type and the downhole environment pre-warning level may be achieved by:
The method comprises the steps that a pre-constructed emergency rescue database can be obtained, then first early warning treatment measures can be matched from the emergency rescue database according to first early warning keywords corresponding to the underground environment early warning types, and second early warning treatment measures can be matched from the emergency rescue database according to second early warning keywords corresponding to the underground environment early warning levels; and finally, carrying out data fusion on the first early warning treatment measure and the second early warning treatment measure to obtain the emergency rescue treatment measure corresponding to the underground environment early warning type and the underground environment early warning level.
The emergency rescue database is a preset database for storing information related to emergency rescue measures, and can be used for extracting keywords corresponding to all the early warning treatment measures in the approved emergency rescue treatment plan file, and forming a database formed by early warning measure keyword groups according to the keywords, wherein different early warning measure keyword groups correspond to different early warning treatment measures in the emergency rescue treatment plan file.
The first pre-warning keywords refer to keywords corresponding to the pre-warning type of the downhole environment, for example, taking the pre-warning type of the downhole environment as the pre-warning type of the downhole gas and coal dust explosion as an example, the first pre-warning keywords may be "gas", "coal dust", "explosion", etc., which is not particularly limited in this example embodiment.
The first early warning treatment measure refers to early warning treatment measures related to the underground environment early warning type in the emergency rescue treatment plan file, for example, the underground environment early warning type can be an underground gas and coal dust explosion early warning type, and the first early warning treatment measure can be "try to send an alarm notice to personnel possibly affected by the underground gas and coal dust explosion catastrophe; if there is a plenum at the disaster avoidance site, the valve should be opened to provide oxygen ", which is, of course, only schematically illustrated herein, and the present exemplary embodiment is not limited thereto.
The second pre-warning keywords refer to keywords corresponding to the pre-warning level of the downhole environment, for example, taking the pre-warning type of the downhole environment as the primary (serious) pre-warning of the downhole gas and coal dust explosion, the second pre-warning keywords may be "primary", "gas", "explosion", "serious", and the like, which is not limited in this example embodiment.
The second early warning treatment measure refers to early warning treatment measures related to the early warning level of the underground environment in the emergency rescue treatment plan file, for example, the early warning level of the underground environment can be the primary (serious) early warning of underground gas and coal dust explosion, and the second early warning treatment measure can be "when the accident is determined to be the primary (serious) early warning of the underground gas and coal dust explosion", all staff in a toxic and harmful gas threat area possibly generated after explosion are immediately notified to withdraw, and all electromechanical equipment power sources in the disaster affected area are notified to the related substation to cut off; the members of the emergency rescue command parts such as the mine ore length, the duty leader, the dispatching center owner and the like are rapidly informed to arrive at the dispatching center to establish the emergency rescue command part, the corresponding emergency plan is started, the treatment plan is researched and formulated, meanwhile, the rescue team is informed to arrive at the accident site to organize the rescue and relief work ", and of course, the method is only schematically illustrated here, and the embodiment is not limited in particular.
It should be noted that, in the present embodiment, "first" and "second" in the "first alert keyword", "first alert treatment measure", "second alert keyword" and "second alert treatment measure" are only alert keywords and alert treatment measures under different downhole environment alert types or different downhole environment alert levels, and have no special meaning, and should not cause any special limitation to the present exemplary embodiment.
Through obtaining the pre-constructed emergency rescue database, corresponding first pre-warning keywords and second pre-warning keywords can be respectively extracted according to the recognized underground environment pre-warning type and the underground environment pre-warning level, and then first pre-warning treatment measures for solving the underground environment pre-warning type can be obtained by matching the first pre-warning keywords and the second pre-warning keywords from the emergency rescue database, and/or second pre-warning treatment measures for solving the underground environment pre-warning level can be obtained by matching the first pre-warning keywords and the second pre-warning keywords.
Because the first pre-warning treatment measure for processing the underground environment pre-warning type and the second pre-warning treatment measure for processing the underground environment pre-warning level may have coincident measures, the first pre-warning treatment measure and the second pre-warning treatment measure can be subjected to data fusion, the same pre-warning treatment measures are fused, and finally the emergency rescue treatment measures corresponding to the underground environment pre-warning type and the underground environment pre-warning level can be obtained.
By extracting the first pre-warning keywords and the second pre-warning keywords contained in the underground environment pre-warning type and the underground environment pre-warning level and combining an emergency rescue database constructed based on the emergency rescue treatment plan file, emergency rescue treatment measures for solving the accident pre-warning of the underground environment pre-warning type and the underground environment pre-warning level can be quickly obtained, and emergency linkage rescue for the accident pre-warning is realized.
Optionally, the emergency linkage terminal at least comprises an audible and visual alarm terminal, a real-time monitoring terminal, a precise positioning terminal and an environment control terminal; the method can realize the starting of the associated emergency linkage terminal according to the emergency rescue treatment measures so as to realize the emergency linkage rescue through the started emergency linkage terminal, and specifically can comprise the following steps:
The associated audible and visual alarm terminal can be started according to the early warning notification measures in the emergency rescue treatment measures, so that emergency rescue operation is reminded of emergency rescue staff through the audible and visual alarm terminal. The emergency rescue worker refers to a pre-constructed department for handling related accident early warning time, for example, the emergency rescue worker may include a first-stage emergency rescue overall command, a second-stage emergency rescue auxiliary overall command, a third-stage emergency rescue group, a rescue security group, an external contact group, a technical expert group, a rescue transportation group, a medical rescue group, a public security group, a logistical security group and other departments.
The associated real-time monitoring terminal can be started according to the data feedback measures in the emergency rescue treatment measures, so that the real-time monitoring terminal can display the monitoring data conversion value, the abnormal ratio, the underground environment early warning type, the underground environment early warning level and the response state of each emergency rescue worker.
The associated accurate positioning terminal can be started according to nearby rescue resource mobilization measures in emergency rescue treatment measures so as to inform nearby rescue objects near the underground environment early warning position to perform emergency rescue actions through the accurate positioning terminal, and the nearby rescue objects at least can comprise underground workers, underground working vehicles and underground rescue equipment. The precise positioning terminal can be arranged in a control center or in an underground environment, and the embodiment is not particularly limited to this.
Optionally, the accurate positioning terminal can be arranged in an underground environment, the sensors, underground staff, underground working vehicles and underground rescue equipment in the underground environment are all provided with positioning equipment, under the condition that disconnection of a communication network is likely to occur in the underground environment, the accurate positioning terminal can determine relative positions among the sensors, the underground staff, the underground working vehicles and the underground rescue equipment according to the positioning equipment on each nearby rescue object, and further emergency linkage rescue can be achieved according to relative positions for adjusting and collecting the underground staff, the underground working vehicles and the underground rescue equipment, or escape guiding schemes can be planned according to the relative positions for emergency rescue while adjusting and collecting the underground staff, the underground working vehicles and the underground rescue equipment.
Optionally, the position information of the sensor, the underground staff, the underground working vehicle and the underground rescue equipment can be acquired according to the accurate positioning terminal, then the emergency early warning position of the underground environment, the acquired position information, the sensor data of the underground environment acquired by the sensors at different positions and the positions of the underground staff can be combined, a disaster avoidance route is planned and optimized and adjusted in real time, disaster avoidance guidance of the underground staff is realized according to the planned disaster avoidance route, the emergency rescue efficiency in the underground environment is effectively improved, and the disaster avoidance escape efficiency of the staff in the underground environment is improved.
The associated environment control terminal can be started according to the environmental emergency rescue equipment scheduling measures in the emergency rescue treatment measures so as to carry out pollution isolation and environmental protection on the underground environment early-warning position through the environment control terminal.
Optionally, the audible and visual alarm terminal is a terminal device for transmitting alarm information through vision and/or hearing, and is used for sending audible and visual early warning information when the underground environment monitoring data exceeds standard or a safety accident occurs, which may be a terminal device capable of displaying visual alarm information, such as an electronic device with a display screen, an LED lamp capable of generating color change, etc., and the second terminal may also be a terminal device capable of sending an audible alarm, such as a buzzer, a loudspeaker, an alarm bell, a bionic sound source, etc., so that a worker can timely acquire the underground environment condition.
The accurate positioning terminal is terminal equipment for monitoring positioning objects in real time, when equipment failure or safety accidents happen underground, the accurate positioning terminal can dynamically monitor and position the positioning objects near the event place in real time, and meanwhile, prompt information can be sent to people in the area around the event place, so that further loss caused by the fact that other people are close to the event place is avoided.
The environment control terminal is a terminal device for recovering the underground environment monitoring data to a normal interval by adjusting the underground environment. For example, the environment control terminal may include a cooling or heating device, a spraying device, a heat exchanger, an air conditioning unit, a ventilation device, etc. that adjusts the temperature, humidity, or air pressure downhole, which is not particularly limited in this example embodiment.
The real-time monitoring terminal is a terminal device with a display screen, and can display the underground mine environment monitoring data, the environment reference data, the monitoring data conversion value, the abnormal ratio and the underground environment danger level on the display screen, for example, the real-time monitoring terminal can be a personal computer, a smart phone, a tablet personal computer and the like, and can display the data, and the embodiment is not particularly limited.
For example, when the underground environment early warning level is three-level (slight) early warning, only the audible and visual warning terminal can be started, and when the underground environment early warning level is two-level (moderate) early warning, the audible and visual warning terminal and the accurate positioning terminal can be started at the same time; when the environmental risk level is a primary (serious) early warning, the audible and visual alarm terminal, the accurate positioning terminal and the environmental control terminal can be started at the same time.
The emergency rescue treatment measures obtained based on the underground environment early warning type and the underground environment early warning level can be used for quickly starting the associated emergency linkage terminal, realizing emergency linkage rescue, effectively improving the response speed and early warning efficiency of the emergency rescue and improving the success rate of the emergency linkage rescue.
Optionally, when the underground environment early warning level is detected not to be in accordance with the current emergency rescue processible level, an emergency rescue request can be sent to an upper-level emergency rescue mechanism.
For example, when the current mining area detects that the underground environment early warning level is primary (serious) early warning and the accident is uncontrollable, the emergency rescue request can be directly sent to the primary emergency rescue mechanism, and the emergency rescue request includes the target emergency rescue treatment measures without corresponding emergency rescue resources and the emergency rescue resources corresponding to the target emergency rescue treatment measures, so that the primary emergency rescue mechanism rapidly prepares the target emergency rescue treatment measures and adjusts the emergency rescue resources corresponding to the target emergency rescue treatment measures.
In an exemplary embodiment of the present disclosure, a data normalization processor, a data converter, and a multi-type sensor driving circuit are provided in the collector.
In this example embodiment, a data normalization processor, a data converter and a plurality of types of sensor driving circuits are configured in one collector at the same time, so that a plurality of types of sensor interfaces can be configured in one collector at the same time, and the acquired plurality of types of sensor signals are normalized by using the data normalization processor configured in the data normalization processor, so that a conversion compensation correction value for an original signal of one sensor can be obtained, and the problem of data distortion or misalignment of a data acquisition link can be avoided by using the normalization processing method, thereby improving the accuracy of data.
In an example embodiment of the present disclosure, referring to fig. 4, an overall flowchart of a mine geotechnical engineering emergency linkage monitoring method based on accurate positioning is shown, including the following steps S401 to S406:
S401, acquiring underground mine environment monitoring data and environment reference data;
Step S402, calculating a conversion value and an anomaly ratio of the monitoring data: respectively calculating a gas conversion value, a carbon monoxide conversion value, a wind speed conversion value and an abnormal duty ratio according to the underground mine environment monitoring data and the environment reference data;
Step S403, acquiring preset dangerous grade weight data;
Step S404, calculating a risk coefficient: calculating a risk coefficient according to the weight ratio according to the gas weight data, the carbon monoxide weight data, the wind speed weight data, the gas conversion value, the wind speed conversion value, the carbon monoxide conversion value, the abnormal ratio weight data and the abnormal ratio;
Step S405, determining a risk level: determining the current underground environment risk level according to the risk coefficient according to a preset threshold interval;
Step S406, starting a corresponding emergency linkage terminal: and determining an emergency linkage terminal to be started according to the underground environment danger level.
In an example embodiment of the present disclosure, as shown in fig. 5, a mine geotechnical engineering emergency linkage monitoring system based on accurate positioning is provided, which includes a data acquisition module 501, a data processing module 502, a rescue measure matching module 503, and an emergency linkage module 504, specifically as follows:
The data acquisition module 501 may be used to acquire underground mine environment monitoring data and environment reference data;
the data processing module 502 may be configured to determine monitoring data conversion values and anomaly ratios based on underground mine environment monitoring data and environment reference data;
The rescue measure matching module 503 may be configured to determine an underground mine environment state according to the abnormal ratio, determine an underground environment early warning type and an underground environment early warning level based on the monitored data conversion value and the abnormal ratio if the underground mine environment state is determined to be a dangerous state, and match an emergency rescue treatment measure through the underground environment early warning type and the underground environment early warning level;
The emergency linkage module 504 may be configured to activate an associated emergency linkage terminal according to the emergency rescue handling measure, so as to implement emergency linkage rescue through the activated emergency linkage terminal.
In an example embodiment of the present disclosure, the rescue matching module 503 may include an underground mine environment state identification unit configured to:
Acquiring a preset abnormal ratio threshold;
If the abnormal ratio is greater than or equal to the abnormal ratio threshold, determining that the underground mine environment state is a dangerous state;
and if the abnormal ratio is smaller than the abnormal ratio threshold, determining that the underground mine environment state is a safe state.
In an example embodiment of the present disclosure, the rescue matching module 503 may include an emergency rescue handling measure generating unit, which may include:
The method comprises the steps of obtaining a pre-constructed emergency rescue database, wherein the emergency rescue database is formed by extracting keywords corresponding to all early warning treatment measures in an approved emergency rescue treatment plan file and forming early warning measure keyword groups according to the keywords, and different early warning measure keyword groups correspond to different early warning treatment measures in the emergency rescue treatment plan file;
According to a first early warning keyword corresponding to the underground environment early warning type, a first early warning treatment measure is matched from the emergency rescue database;
matching a second early warning treatment measure from the emergency rescue database according to a second early warning keyword corresponding to the underground environment early warning level;
And carrying out data fusion on the first early warning treatment measure and the second early warning treatment measure to obtain the emergency rescue treatment measure corresponding to the underground environment early warning type and the underground environment early warning level.
In an example embodiment of the disclosure, the emergency linkage terminal at least includes an audible and visual alarm terminal, a real-time monitoring terminal, a precise positioning terminal and an environment control terminal; the emergency linkage module 504 is configured to:
Starting the associated audible and visual alarm terminal according to the early warning notification measures in the emergency rescue treatment measures so as to remind emergency rescue staff to perform emergency rescue actions through the audible and visual alarm terminal; and/or
Starting the associated real-time monitoring terminal according to the data feedback measures in the emergency rescue treatment measures so as to display the monitoring data conversion value, the abnormal ratio, the underground environment early-warning type, the underground environment early-warning level and the response state of each emergency rescue worker through the real-time monitoring terminal; and/or
Starting an associated accurate positioning terminal according to nearby rescue resource mobilization measures in the emergency rescue treatment measures so as to inform nearby rescue objects near the underground environment early warning position to carry out emergency rescue actions through the accurate positioning terminal, wherein the nearby rescue objects at least comprise underground workers, underground working vehicles and underground rescue equipment; and/or
And starting an associated environment control terminal according to the environmental emergency rescue equipment scheduling measure in the emergency rescue treatment measure so as to carry out pollution isolation and environmental protection on the underground environment early warning position through the environment control terminal.
In an example embodiment of the present disclosure, the precisely-positioned mine geotechnical engineering emergency linkage monitoring system further includes an emergency rescue request unit configured to:
When the underground environment early warning level is detected not to accord with the current emergency rescue processable level, an emergency rescue request is sent to an upper-level emergency rescue mechanism, wherein the emergency rescue request comprises a target emergency rescue treatment measure without corresponding emergency rescue resources and the emergency rescue resources corresponding to the target emergency rescue treatment measure.
In an example embodiment of the present disclosure, the data processing module 502 is determined as:
the underground mine environment monitoring data comprises first environment monitoring data and second environment monitoring data;
The first environmental monitoring data comprises at least one of gas monitoring data, carbon monoxide monitoring data and wind speed monitoring data;
the second environmental monitoring data comprises at least one of temperature monitoring data, humidity monitoring data and air pressure monitoring data;
The monitoring data conversion value comprises a gas conversion value, a carbon monoxide conversion value and a wind speed conversion value,
The environmental reference data comprises environmental reference monitoring data, sensor reference compensation data and sensor limit reference data;
the environment reference data comprises temperature reference data, humidity reference data and air pressure reference data;
The sensor reference compensation data comprise gas sensor reference compensation data, carbon monoxide sensor reference compensation data and wind speed sensor reference compensation data;
The gas conversion value determining module is used for determining a gas conversion value based on the gas monitoring data, the temperature reference data and the gas sensor reference compensation data;
The carbon monoxide conversion value determining module is used for determining a carbon monoxide conversion value based on the carbon monoxide monitoring data, the humidity reference data and the carbon monoxide sensor reference compensation data;
the wind speed conversion value determining module is used for determining a wind speed conversion value based on wind speed monitoring data, air pressure reference data and wind speed sensor reference compensation data;
and the abnormal ratio determining module is used for determining an abnormal ratio based on the temperature monitoring data, the humidity monitoring data, the air pressure monitoring data and the sensor limit reference data.
In an example embodiment of the present disclosure, the data processing module 502 is determined as:
The gas conversion value determining module is used for determining a gas conversion value according to the following relation:
；
wherein, Representing the gas conversion value,/>Representing gas monitoring data,/>Representing the temperature-monitoring data of the temperature,Representing temperature reference data,/>And representing the reference compensation data of the gas sensor corresponding to each degree of temperature difference.
In an example embodiment of the present disclosure, the data processing module 502 is determined as:
The carbon monoxide conversion value determining module is used for determining a carbon monoxide conversion value according to the following relation:
；
wherein, Representing carbon monoxide conversion value,/>Representing carbon monoxide monitoring data,/>Representing humidity monitoring data,/>Representing humidity reference data,/>Representing carbon monoxide sensor reference compensation data corresponding to each percentage humidity difference.
In an example embodiment of the present disclosure, the data processing module 502 is determined as:
the wind speed conversion value determining module is used for determining a wind speed conversion value according to the following relation:
；
wherein, Representing wind speed transition value,/>Representing wind speed monitoring data,/>Representing barometric pressure monitoring data,/>Representing barometric pressure reference data,/>And representing the reference compensation data of the wind speed sensor corresponding to the air pressure difference per pascal.
In an example embodiment of the present disclosure, the data processing module 502 is determined as:
The sensor limit reference data comprises temperature sensor limit reference data, humidity sensor limit reference data and air pressure sensor limit reference data;
The anomaly ratio calculation module is used for determining an anomaly ratio according to the following relation:
；
wherein, Representing anomaly ratio,/>Representing temperature monitoring data,/>Representing humidity monitoring data,/>Representing barometric pressure monitoring data,/>Representing temperature sensor limit reference data,/>Representing humidity sensor limit reference data,Representing barometric sensor limit reference data.
The specific details of each module in the mine geotechnical engineering emergency linkage monitoring system based on the accurate positioning are described in detail in the corresponding mine geotechnical engineering emergency linkage monitoring method based on the accurate positioning, so that the details are not repeated here.
Exemplary embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification. In some possible implementations, aspects of the present disclosure may also be implemented in the form of a program product comprising program code for causing an electronic device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on an electronic device. The program product may employ a portable compact disc read-only memory (CD-ROM) and comprise program code and may be run on an electronic device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, radio frequency technology (RF), or any suitable combination of the foregoing.
Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C#, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
The exemplary embodiment of the disclosure also provides an electronic device capable of implementing the method. An electronic device 600 according to such an exemplary embodiment of the present disclosure is described below with reference to fig. 6. The electronic device 600 shown in fig. 6 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.
As shown in fig. 6, the electronic device 600 may be embodied in the form of a general purpose computing device. Components of electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one memory unit 620, a bus 630 connecting the different system components (including the memory unit 620 and the processing unit 610), and a display unit 640.
The storage unit 620 stores program codes that can be executed by the processing unit 610, so that the processing unit 610 performs the steps according to various exemplary embodiments of the present disclosure described in the above "exemplary method" section of the present specification. For example, the processing unit 610 may perform the method steps in fig. 2.
The storage unit 620 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 621 and/or cache memory 622, and may further include Read Only Memory (ROM) 623.
The storage unit 620 may also include a program/utility 624 having a set (at least one) of program modules 625, such program modules 625 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 630 may be a local bus representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or using any of a variety of bus architectures.
The electronic device 600 may also communicate with one or more external devices 670 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 600, and/or any devices (e.g., routers, modems) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 650. Also, electronic device 600 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 660. As shown, network adapter 660 communicates with other modules of electronic device 600 over bus 630. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 600, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the exemplary embodiments of the present disclosure.
Furthermore, the above-described figures are only illustrative of the inclusion of a method according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof.
Claims (9)
1. The utility model provides a mine geotechnical engineering emergency linkage monitoring method based on accurate location, its characterized in that is applied to the emergent linkage monitoring system of mine geotechnical engineering based on accurate location, through unification collector communication connection between system and various sensors in the pit, be provided with data normalization processor, data converter and multi-type sensor drive circuit in the collector, the method includes:
Acquiring underground mine environment monitoring data and environment reference data;
Determining a monitoring data conversion value and an abnormal ratio based on the underground mine environment monitoring data and the environment reference data; the underground mine environment monitoring data comprise first environment monitoring data and second environment monitoring data, the first environment monitoring data comprise at least one of gas monitoring data, carbon monoxide monitoring data and wind speed monitoring data, the second environment monitoring data comprise at least one of temperature monitoring data, humidity monitoring data and air pressure monitoring data, the monitoring data conversion values comprise gas conversion values, carbon monoxide conversion values and wind speed conversion values, the environment reference data comprise environment reference monitoring data, sensor reference compensation data and sensor limit reference data, the environment reference monitoring data comprise temperature reference data, humidity reference data and air pressure reference data, the sensor reference compensation data comprise gas sensor reference compensation data, and the carbon monoxide sensor reference compensation data and wind speed sensor reference compensation data;
Determining an underground mine environment state according to the abnormal ratio, if the underground mine environment state is determined to be a dangerous state, determining an underground environment early warning type and an underground environment early warning level based on the monitoring data conversion value and the abnormal ratio, and matching emergency rescue treatment measures through the underground environment early warning type and the underground environment early warning level;
starting an associated emergency linkage terminal according to the emergency rescue treatment measures so as to realize emergency linkage rescue through the started emergency linkage terminal;
the determining a monitored data conversion value and an anomaly ratio based on the underground mine environment monitoring data and the environment reference data comprises:
Determining the gas conversion value based on the gas monitoring data, the temperature reference data and the gas sensor reference compensation data;
Determining the carbon monoxide conversion value based on the carbon monoxide monitoring data, the humidity reference data, and the carbon monoxide sensor reference compensation data;
Determining the wind speed conversion value based on the wind speed monitoring data, the air pressure reference data and the wind speed sensor reference compensation data;
Determining the anomaly ratio based on the temperature monitoring data, humidity monitoring data, barometric pressure monitoring data, and the sensor limit reference data;
The determining the underground environment early warning type and the underground environment early warning level based on the monitoring data conversion value and the abnormal ratio value comprises the following steps:
Determining the underground environment early warning type according to the data type of the abnormal monitoring data conversion value in the monitoring data conversion values;
Acquiring preset dangerous grade weight data, determining a dangerous coefficient based on the dangerous grade weight data, the monitoring data conversion value and the abnormal ratio, and determining the underground environment early warning level according to the dangerous coefficient.
2. The mine geotechnical engineering emergency linkage monitoring method based on accurate positioning according to claim 1, wherein,
The determining the gas conversion value based on the gas monitoring data, the temperature reference data, and the gas sensor reference compensation data includes:
determining the gas conversion value according to the following relation:
；
wherein, Representing the gas conversion value,/>Representing gas monitoring data,/>Representing temperature monitoring data,/>Representing temperature reference data,/>And representing the reference compensation data of the gas sensor corresponding to each degree of temperature difference.
3. The precisely positioned mine geotechnical engineering emergency linkage monitoring method according to claim 1, wherein the determining the carbon monoxide conversion value based on the carbon monoxide monitoring data, the humidity reference data and the carbon monoxide sensor reference compensation data comprises:
determining the carbon monoxide conversion value according to the following relation:
；
wherein, Representing carbon monoxide conversion value,/>Representing carbon monoxide monitoring data,/>Representing humidity monitoring data,/>Representing humidity reference data,/>Representing carbon monoxide sensor reference compensation data corresponding to each percentage humidity difference.
4. The mine geotechnical engineering emergency linkage monitoring method based on accurate positioning according to claim 1, wherein the determining the wind speed conversion value based on the wind speed monitoring data, the air pressure reference data and the wind speed sensor reference compensation data comprises:
determining the wind speed conversion value according to the following relation:
；
wherein, Representing wind speed transition value,/>Representing wind speed monitoring data,/>Representing barometric pressure monitoring data,/>Representing barometric pressure reference data,/>And representing the reference compensation data of the wind speed sensor corresponding to the air pressure difference per pascal.
5. The mine geotechnical engineering emergency linkage monitoring method based on accurate positioning according to claim 1, wherein the sensor limit reference data comprises temperature sensor limit reference data, humidity sensor limit reference data and air pressure sensor limit reference data;
the determining the anomaly ratio based on the temperature monitoring data, humidity monitoring data, barometric pressure monitoring data, and the sensor limit reference data comprises:
Determining the anomaly ratio according to the following relation:
；
wherein, Representing anomaly ratio,/>Representing temperature monitoring data,/>Representing humidity monitoring data,/>Representing barometric pressure monitoring data,/>Representing temperature sensor limit reference data,/>Representing humidity sensor limit reference data,/>Representing barometric sensor limit reference data.
6. The mine geotechnical engineering emergency linkage monitoring method based on accurate positioning according to claim 1, wherein the determining the environment state of the underground mine according to the abnormal ratio comprises:
Acquiring a preset abnormal ratio threshold;
If the abnormal ratio is greater than or equal to the abnormal ratio threshold, determining that the underground mine environment state is a dangerous state;
and if the abnormal ratio is smaller than the abnormal ratio threshold, determining that the underground mine environment state is a safe state.
7. The mine geotechnical engineering emergency linkage monitoring method based on accurate positioning according to claim 1, wherein the matching of the emergency rescue treatment measures by the underground environment early warning type and the underground environment early warning level comprises the following steps:
The method comprises the steps of obtaining a pre-constructed emergency rescue database, wherein the emergency rescue database is formed by extracting keywords corresponding to all early warning treatment measures in an approved emergency rescue treatment plan file and forming early warning measure keyword groups according to the keywords, and different early warning measure keyword groups correspond to different early warning treatment measures in the emergency rescue treatment plan file;
According to a first early warning keyword corresponding to the underground environment early warning type, a first early warning treatment measure is matched from the emergency rescue database;
matching a second early warning treatment measure from the emergency rescue database according to a second early warning keyword corresponding to the underground environment early warning level;
And carrying out data fusion on the first early warning treatment measure and the second early warning treatment measure to obtain the emergency rescue treatment measure corresponding to the underground environment early warning type and the underground environment early warning level.
8. The mine geotechnical engineering emergency linkage monitoring method based on accurate positioning according to claim 1, wherein the emergency linkage terminal at least comprises an audible and visual alarm terminal, a real-time monitoring terminal, an accurate positioning terminal and an environment control terminal;
The emergency linkage terminal which is associated is started according to the emergency rescue treatment measures, so that emergency linkage rescue is realized through the started emergency linkage terminal, and the emergency linkage rescue method comprises the following steps:
Starting the associated audible and visual alarm terminal according to the early warning notification measures in the emergency rescue treatment measures so as to remind emergency rescue staff to perform emergency rescue actions through the audible and visual alarm terminal; and/or
Starting the associated real-time monitoring terminal according to the data feedback measures in the emergency rescue treatment measures so as to display the monitoring data conversion value, the abnormal ratio, the underground environment early-warning type, the underground environment early-warning level and the response state of each emergency rescue worker through the real-time monitoring terminal; and/or
Starting an associated accurate positioning terminal according to nearby rescue resource mobilization measures in the emergency rescue treatment measures so as to inform nearby rescue objects near the underground environment early warning position to carry out emergency rescue actions through the accurate positioning terminal, wherein the nearby rescue objects at least comprise underground workers, underground working vehicles and underground rescue equipment; and/or
And starting an associated environment control terminal according to the environmental emergency rescue equipment scheduling measure in the emergency rescue treatment measure so as to carry out pollution isolation and environmental protection on the underground environment early warning position through the environment control terminal.
9. The mine geotechnical engineering emergency linkage monitoring method based on accurate positioning according to claim 1, further comprising:
When the underground environment early warning level is detected not to accord with the current emergency rescue processable level, an emergency rescue request is sent to an upper-level emergency rescue mechanism, wherein the emergency rescue request comprises a target emergency rescue treatment measure without corresponding emergency rescue resources and the emergency rescue resources corresponding to the target emergency rescue treatment measure.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102682341A (en) * | 2012-04-30 | 2012-09-19 | 山西潞安环保能源开发股份有限公司常村煤矿 | System and method for managing coal mine emergency rescue command information |
| CN105673075A (en) * | 2016-01-13 | 2016-06-15 | 中国矿业大学(北京) | Coal and rock dynamic disaster multi-parameter wireless monitoring comprehensive early-warning technology and method |
| CN106194263A (en) * | 2016-08-29 | 2016-12-07 | 中煤科工集团重庆研究院有限公司 | Coal mine gas disaster monitoring and early warning system and early warning method |
| CN206111243U (en) * | 2016-10-28 | 2017-04-19 | 天津城建大学 | Rescue of mine disaster early -warning and environment monitoring prediction system |
| KR102225146B1 (en) * | 2019-12-13 | 2021-03-10 | 주식회사 이에스피 | Mine Vehicle V2X System and Method for Management of Mine Safety |
| KR102246499B1 (en) * | 2019-12-13 | 2021-05-04 | 주식회사 이에스피 | System and method for mine safety integrated management |
| CN113962837A (en) * | 2021-10-28 | 2022-01-21 | 山东泽明能源科技有限公司 | Mine geotechnical engineering monitoring and evaluation emergency feedback system and method |
| CN116480412A (en) * | 2023-04-11 | 2023-07-25 | 国能神东煤炭集团有限责任公司 | Mine disaster rescue method and device |
| CN116708510A (en) * | 2023-07-11 | 2023-09-05 | 北京凡米物联科技有限公司 | Processing method and system for collecting data under coal mine multi-disaster coupling environment |
| CN116950708A (en) * | 2023-09-06 | 2023-10-27 | 大连煤科安全技术研究院有限公司 | Intelligent management and control platform for one-ventilation three-prevention of coal mine |
| CN117111519A (en) * | 2023-09-07 | 2023-11-24 | 新疆矿安矿山检测中心有限公司 | Intelligent monitoring system and method for coal production safety |
| CN117151640A (en) * | 2023-09-06 | 2023-12-01 | 大连煤科安全技术研究院有限公司 | Intelligent comprehensive management platform for coal mine |
-
2024
- 2024-03-07 CN CN202410258254.7A patent/CN117846707B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102682341A (en) * | 2012-04-30 | 2012-09-19 | 山西潞安环保能源开发股份有限公司常村煤矿 | System and method for managing coal mine emergency rescue command information |
| CN105673075A (en) * | 2016-01-13 | 2016-06-15 | 中国矿业大学(北京) | Coal and rock dynamic disaster multi-parameter wireless monitoring comprehensive early-warning technology and method |
| CN106194263A (en) * | 2016-08-29 | 2016-12-07 | 中煤科工集团重庆研究院有限公司 | Coal mine gas disaster monitoring and early warning system and early warning method |
| CN206111243U (en) * | 2016-10-28 | 2017-04-19 | 天津城建大学 | Rescue of mine disaster early -warning and environment monitoring prediction system |
| KR102225146B1 (en) * | 2019-12-13 | 2021-03-10 | 주식회사 이에스피 | Mine Vehicle V2X System and Method for Management of Mine Safety |
| KR102246499B1 (en) * | 2019-12-13 | 2021-05-04 | 주식회사 이에스피 | System and method for mine safety integrated management |
| CN113962837A (en) * | 2021-10-28 | 2022-01-21 | 山东泽明能源科技有限公司 | Mine geotechnical engineering monitoring and evaluation emergency feedback system and method |
| CN116480412A (en) * | 2023-04-11 | 2023-07-25 | 国能神东煤炭集团有限责任公司 | Mine disaster rescue method and device |
| CN116708510A (en) * | 2023-07-11 | 2023-09-05 | 北京凡米物联科技有限公司 | Processing method and system for collecting data under coal mine multi-disaster coupling environment |
| CN116950708A (en) * | 2023-09-06 | 2023-10-27 | 大连煤科安全技术研究院有限公司 | Intelligent management and control platform for one-ventilation three-prevention of coal mine |
| CN117151640A (en) * | 2023-09-06 | 2023-12-01 | 大连煤科安全技术研究院有限公司 | Intelligent comprehensive management platform for coal mine |
| CN117111519A (en) * | 2023-09-07 | 2023-11-24 | 新疆矿安矿山检测中心有限公司 | Intelligent monitoring system and method for coal production safety |
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