CN113401617A - Coal preparation plant production line material blockage detection system - Google Patents
Coal preparation plant production line material blockage detection system Download PDFInfo
- Publication number
- CN113401617A CN113401617A CN202110776278.8A CN202110776278A CN113401617A CN 113401617 A CN113401617 A CN 113401617A CN 202110776278 A CN202110776278 A CN 202110776278A CN 113401617 A CN113401617 A CN 113401617A
- Authority
- CN
- China
- Prior art keywords
- point
- type
- blockage
- production line
- control server
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 149
- 239000000463 material Substances 0.000 title claims abstract description 98
- 238000001514 detection method Methods 0.000 title claims abstract description 82
- 239000003245 coal Substances 0.000 title claims abstract description 62
- 238000002360 preparation method Methods 0.000 title claims abstract description 55
- 238000012544 monitoring process Methods 0.000 claims abstract description 124
- 230000000903 blocking effect Effects 0.000 claims description 58
- 238000012545 processing Methods 0.000 claims description 21
- 238000010801 machine learning Methods 0.000 claims description 19
- 238000011144 upstream manufacturing Methods 0.000 claims description 15
- 238000012549 training Methods 0.000 claims description 12
- 230000001939 inductive effect Effects 0.000 claims description 7
- 238000011084 recovery Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 abstract description 10
- 238000000034 method Methods 0.000 description 13
- 238000010586 diagram Methods 0.000 description 6
- 238000013528 artificial neural network Methods 0.000 description 5
- 230000008901 benefit Effects 0.000 description 5
- 230000008569 process Effects 0.000 description 4
- 238000009825 accumulation Methods 0.000 description 3
- 210000000080 chela (arthropods) Anatomy 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011897 real-time detection Methods 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000005299 abrasion Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000010009 beating Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000013524 data verification Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 238000011031 large-scale manufacturing process Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000004377 microelectronic Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
- B65G43/08—Control devices operated by article or material being fed, conveyed or discharged
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G23/00—Driving gear for endless conveyors; Belt- or chain-tensioning arrangements
- B65G23/22—Arrangements or mountings of driving motors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
- G06F18/24133—Distances to prototypes
- G06F18/24137—Distances to cluster centroïds
- G06F18/2414—Smoothing the distance, e.g. radial basis function networks [RBFN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Molecular Biology (AREA)
- Computational Linguistics (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Mechanical Engineering (AREA)
- General Factory Administration (AREA)
Abstract
The application discloses coal preparation plant production line material blocks up detecting system includes: the video detection sensor is used for detecting the material transportation state of the first type of monitoring point and generating a video image signal; the image recognition server judges whether the first type of monitoring points are blocked or not according to the video image signals; the main control server obtains a production line blockage detection result according to the judgment result of whether the first type of monitoring points are blocked and transmits the production line blockage detection result to the large production system, the large production system generates a linkage signal according to the detection result, the conveying equipment in the control system reduces the amount of source materials, and the dredging equipment of the blockage points is started to dredge the materials of the blockage points until the blockage points are recovered to be normal. Above scheme utilizes image automatic identification technology to improve the detection level of material position, can in time, accurately discover the jam point, and the equipment in the linkage control production line dredges the jam point fast after discovering to block up, improves production efficiency, reduces human cost and economic cost.
Description
Technical Field
The application belongs to the technical field of intelligent detection equipment of coal preparation plants, and particularly relates to a material blockage detection system for a production line of a coal preparation plant.
Background
The general detection method for chute blockage of the production line of the coal preparation plant comprises the following steps of applying different types of sensors to different positions of the chute for detection: a blocking switch is arranged in the chute; a door type limit travel switch or a Hall switch is arranged outside the chute; an infrared detection switch is arranged outside and inside. The above three types of detection methods are all to obtain a switching value signal by detection.
In the actual production of a coal preparation plant, any production equipment on a coal flow line stops due to faults or a chute is blocked due to large blocks, coal can be accumulated at the blocked position in a short time, the production line needs to stop production immediately in order to avoid production accidents, then the blockage treatment is carried out, and the accumulated coal at the blocked position is taken out or dredged to a lower-level device to be transported away quickly. The method for solving the blockage at present is that coal falls to a lower-level device to be taken away in a poking and beating mode of tools such as pincers, hammers and the like manually, or an air cannon is started to replace the tools such as the pincers and the hammers, the blocked chute is dredged in an aerodynamic mode, or a vibrating motor is arranged outside the chute, the vibration of a chute plate is applied, the position of large coal is changed, and the principle of vibration mechanics is applied to the dredging of the blocked chute.
In summary, the blockage detection and treatment of the production line of the coal preparation plant at present is that the production line is stopped passively after the blockage occurs and then dredged by manual operation. The whole process has high dependence on manpower, so that the dredging efficiency is low, the blockage problem cannot be timely treated, the production efficiency of the coal preparation plant is reduced, the economic cost is increased, and the like.
Disclosure of Invention
The application aims at providing a coal preparation plant production line material blockage detection system to solve the technical problems of large manual dependence and low efficiency existing in the coal preparation plant production line blockage detection scheme in the prior art.
In view of the above technical problems, the present application provides the following technical solutions:
some embodiments of this application provide a coal preparation plant production line material blocks up detecting system, include:
the video detection sensor is arranged at a first type monitoring point of the production line; the video detection sensor detects the material transportation state of the first type monitoring point and generates a video image signal;
the image recognition server receives the video image signal sent by the video detection sensor and judges whether the first type of monitoring point is blocked according to the video image signal;
the main control server receives the judgment result of whether the first type of monitoring points are blocked sent by the image recognition server, and obtains a production line blocking detection result according to the judgment result of whether all the first type of monitoring points are blocked;
the master control server transmits a detection result of the production line blockage to a large production system; if any one first-type monitoring point is blocked, the large production system generates a linkage signal, the large production system controls conveying equipment at the upstream of the blocking point to reduce the amount of source materials through the linkage signal, and dredging equipment of the blocking point is started to dredge materials of the blocking point; and the large production system generates a normal production recovery signal after the main control server judges that the blockage point is normally dredged, and the large production system recovers normal production.
In the system for detecting material blockage in the production line of the coal preparation plant provided in some embodiments of the present application, an identification algorithm model is preset in the image identification server, and the identification algorithm model is obtained through the following method: taking a historical video image signal as an input parameter, taking a judgment result of whether a first type of monitoring points recorded in the historical video image signal are blocked as an output parameter, training a machine learning algorithm, and taking the trained machine learning algorithm as the recognition algorithm model;
and after the video image signal is input into the recognition algorithm model, obtaining a judgment result of whether the first-class monitoring points are blocked according to an output result of the recognition algorithm model.
In the system for detecting material clogging in a production line of a coal preparation plant provided in some embodiments of the present application, the recognition algorithm model in the image recognition server further includes, when training a machine learning algorithm:
training a machine learning algorithm by taking the blocking degree of the first type monitoring points recorded in the historical video image signals as output parameters, and taking the trained machine learning algorithm as the recognition algorithm model;
and after the video image signal is input into the recognition algorithm model, obtaining the blocking degree of the first-class monitoring point according to the output result of the recognition algorithm model.
The coal preparation plant production line material that provides in some embodiments of this application blocks up detecting system, still includes:
the inductive switch sensor is arranged at a second type monitoring point of the production line, detects the material transportation state of the second type monitoring point and generates a switching value digital signal; the probability of blockage of the second type of monitoring points is less than that of the first type of monitoring points;
the master control server receives the switching value digital signals sent by the inductive switch sensor, and judges whether the second type of monitoring points are blocked and the blocking degree of the second type of monitoring points according to the switching value digital signals;
the master control server is further used for obtaining a production line blockage detection result after fusing the judgment result of whether the first type monitoring point is blocked, the blockage degree of the first type monitoring point, the judgment result of whether the second type monitoring point is blocked and the blockage degree of the second type monitoring point.
In some embodiments of the present application, the blockage degree includes a first level blockage degree, a second level blockage degree, and a third level blockage degree;
the main control server sends out an early warning signal to the controlled device corresponding to the jam point when the jam point is judged to be the first level jam degree, sends out a warning signal to the controlled device corresponding to the jam point when the jam point is judged to be the second level jam degree, and sends out a stop signal to the controlled device corresponding to the jam point when the jam point is judged to be the third level jam degree.
In some embodiments of the application, a coal preparation plant production line material blockage detection system is provided, the controlled device includes:
the input end of the frequency converter is connected with the output end of the main control server, and the output end of the frequency converter is connected with the control end of the conveying equipment at a monitoring point or at the upstream of the monitoring point; the frequency converter is used for receiving the early warning signal sent by the master control server and reducing the lower frequency limit threshold value from the reduced operation frequency of the conveying equipment to the conveying equipment according to the early warning signal.
In some embodiments of the application, a coal preparation plant production line material blockage detection system is provided, the controlled device includes:
the vibration component comprises an air cannon or a vibration motor arranged at a monitoring point, and the input end of the vibration component is connected with the output end of the master control server; the vibration component is used for receiving the early warning signal sent by the main control server and controlling the air cannon or the vibration motor to start according to the early warning signal.
In some embodiments of the application, a coal preparation plant production line material blockage detection system is provided, the controlled device includes:
the alarm component is arranged at the blockage point, and the input end of the alarm component is connected with the output end of the master control server; and the alarm component receives the alarm signal sent by the main control server and then sends an alarm prompt signal.
In some embodiments of the application, a coal preparation plant production line material blockage detection system is provided, the controlled device includes:
and the control end of the conveying equipment is connected with the output end of the main control server, and the conveying equipment stops working after receiving the stop signal.
In the system for detecting material blockage of the production line of the coal preparation plant provided in some embodiments of the application, the main control server is further configured to arrange all the first type monitoring points and the second type monitoring points according to a transportation direction, and control a display screen to display the arrangement result; in the arrangement result, each monitoring point is provided with an identification display area, and the identification display area is used for displaying the type of the monitoring point, the judgment result of whether the monitoring point is blocked, the blocking degree, the blocking processing mode and the blocking processing state.
Compared with the prior art, the technical scheme of the application has the following technical effects:
the utility model provides a coal preparation plant production line material blocks up detecting system utilizes the video detection sensor to set up in the first type of monitoring point department of production line, and the video detection sensor can be through the material transport state of the mode real-time detection first type of monitoring point of shooting video image, and the generation video image signal. The image recognition server receives the video image signals sent by the video detection sensor, and then can judge whether the first type of monitoring points are blocked according to the video image signals, and then the image server transmits the judgment result of whether the first type of monitoring points are blocked to the main control server through the network, the main control server obtains the detection result of the blocking of the production line according to the judgment result of whether all the first type of monitoring points are blocked, and the main control server transmits the result to the large production system; if any one first-type monitoring point is blocked, the large production system generates a linkage signal, the large production system controls upstream conveying equipment of the blocking point in the system to reduce the amount of source materials through the linkage signal, and dredging equipment of the blocking point is started to dredge materials of the blocking point; and after the main control server judges that the blockage point is normally dredged, the large production system generates a normal production recovery signal, and the large production system recovers normal production. Above scheme, with the new technique of image automatic identification applied to the coal preparation factory field, has improved the detection level of material position, production line material condition control can report to the master control server of centralized control room in, need not rely on the manual work to patrol and examine, can in time, accurately discover the jam point when the jam degree is not very serious yet, the follow-up mediation to the jam point of being convenient for has improved mediation efficiency, has reduced human cost and economic cost.
Drawings
The objects and advantages of this application will be appreciated by the following detailed description of the preferred embodiments thereof, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a block diagram of a system for detecting material blockage in a production line of a coal preparation plant according to an embodiment of the present disclosure;
FIG. 2 is a schematic view of an installation layout of a coal preparation plant production line material blockage detection system in a production line according to an embodiment of the present application;
FIG. 3 is a block diagram of a system for detecting material blockage in a production line of a coal preparation plant according to another embodiment of the present application;
FIG. 4 is a schematic block diagram of a system for detecting material blockage in a production line of a coal preparation plant according to an embodiment of the present disclosure;
FIG. 5 is a schematic block diagram of a coal preparation plant production line material blockage detection system according to another embodiment of the present application for handling blockage;
FIG. 6 is a schematic view of an installation layout of a coal preparation plant production line material blockage detection system in the production line according to another embodiment of the present application;
fig. 7 is a schematic diagram of a display interface of a display screen according to an embodiment of the present application.
Detailed Description
In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only used for convenience of description of the present application, and do not indicate or imply that the device or component in question must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present application; the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two components can be directly connected or indirectly connected through an intermediate medium, and the two components can be communicated with each other. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
In addition, the technical features mentioned in the different embodiments of the present application described below may be combined with each other as long as they do not conflict with each other.
The embodiment of the application provides a coal preparation plant production line material blockage detection system, as shown in fig. 1 and fig. 2, the system comprises a video detection sensor 101, an image recognition server 102 and a main control server 103. The video detection sensor 101 is arranged at a first type monitoring point of the production line; the video detection sensor 101 detects the material transportation state of the first type monitoring point and generates a video image signal; the image recognition server 102 receives the video image signal sent by the video detection sensor 101, and judges whether the first type monitoring point is blocked according to the video image signal; and the main control server 103 receives the judgment result of whether the first type of monitoring points are blocked sent by the image recognition server 102, and obtains a production line blocking detection result according to the judgment result of whether all the first type of monitoring points are blocked. The master control server 103 transmits the result to the large production system; if any one first-type monitoring point is blocked, the large production system generates a linkage signal, the large production system controls upstream conveying equipment of the blocking point in the system to reduce the amount of source materials through the linkage signal, and dredging equipment of the blocking point is started to dredge materials of the blocking point; and the large production system generates a normal production recovery signal after the main control server 103 judges that the blockage point is normally dredged, and the large production system recovers normal production. The video detection sensor 101 is in communication connection with the image recognition server 102, and the image recognition server 102 is in communication connection with the main control server 103 through a network, so that data transmission is achieved, and the blocking processing of the production line of the coal preparation plant in the application can meet the requirements of informatization and intellectualization.
In the above scheme, the first-class monitoring points may be positions which are easy to block, positions which are easy to block on a production line are designed and checked through a coal preparation process flow and serve as the monitoring points, the monitoring points include positions which are easy to block in conventional design materials and positions which are easy to block and appear in actual production, arrangement diagram analysis and calculation are performed on the monitoring points, the position points which are prone to block in the maximum engineering value are used as key detection objects, and the monitoring points of the key detection objects are selected as the first-class monitoring points. As shown in fig. 2, the production line includes equipment such as a hopper 201, a chute 202, and a scraper 203, and the video detection sensor 101 may be provided at an outlet of the hopper 201, an inlet and an outlet of the chute 202, and the like.
The utility model provides a coal preparation plant production line material blocks up detecting system utilizes the video detection sensor to set up in the first type of monitoring point department of production line, and the video detection sensor can be through the material transport state of the mode real-time detection first type of monitoring point of shooting video image, and the generation video image signal. The image recognition server receives the video image signals sent by the video detection sensor, and then can judge whether the first type of monitoring points are blocked according to the video image signals, and then the image server transmits the judgment result of whether the first type of monitoring points are blocked to the main control server through the network, and the main control server obtains the detection result of the production line blockage according to the judgment result of whether all the first type of monitoring points are blocked. The master control server transmits the result to the large production system; if any one first-type monitoring point is blocked, the large production system generates a linkage signal, the large production system controls upstream conveying equipment of the blocking point in the system to reduce the amount of source materials through the linkage signal, and dredging equipment of the blocking point is started to dredge materials of the blocking point; and after the main control server judges that the blockage point is normally dredged, the large production system generates a normal production recovery signal, and the large production system recovers normal production. Above scheme, with the new technique of image automatic identification applied to the coal preparation factory field, has improved the detection level of material position, production line material condition control can report to the master control server of centralized control room in, need not rely on the manual work to patrol and examine, can in time, accurately discover the jam point when the jam degree is not very serious yet, the follow-up mediation to the jam point of being convenient for has improved mediation efficiency, has reduced human cost and economic cost.
Obviously, the scheme above this application carries out the design of integration with production line jam detection and mediation scheme, and master control server can detect whether taking place to block up the monitoring point in real time, and when the monitoring point took place to block up the back, the linkage controller of production major system just can carry out coordinated control to all equipment that involve on the production line, and this control logic both can adopt the server of extra setting to realize, also can adopt the master control server in the above scheme to realize. Coordinated control can reduce the material volume that gets into the jam point through reducing its frequency through carrying out frequency control to the frequency conversion equipment on the production line, and coordinated control can also control the jam mediation equipment that the jam point department that takes place to block up sets up, for example air bubble, vibrating motor etc. through coordinated control start the mediation equipment of jam point, dredge the material of jam point.
In some embodiments, the image recognition server 102 is preset with a recognition algorithm model, and the recognition algorithm model is obtained by: taking a historical video image signal as an input parameter, taking a judgment result of whether a first type of monitoring points recorded in the historical video image signal are blocked as an output parameter, training a machine learning algorithm, and taking the trained machine learning algorithm as the recognition algorithm model; and after the video image signal is input into the recognition algorithm model, obtaining a judgment result of whether the first-class monitoring points are blocked according to an output result of the recognition algorithm model. For example, an XGBoost model (model training uses an XGBRegressor function under the XGBoost module) may be constructed using pixel values of the historical video image signals and a determination result label of whether or not there is a jam (for example, the jammed label is "1" and the unclogged label is "0"). Or selecting Neural Networks (NNs) as a machine learning algorithm, wherein the NNs are an algorithm mathematical model simulating animal neural network behavior characteristics and performing distributed parallel information processing, and the neural network algorithm is essentially vector multiplication and widely adopts a symbolic function and various approximations thereof. In fact, the machine learning algorithm includes many kinds, and the present embodiment may be implemented by selecting an existing machine learning algorithm, and only needs to select an accurate training sample during training.
In the coal preparation plant production line material blockage detection system in some embodiments, the recognition algorithm model in the image recognition server 102, when training the machine learning algorithm, further includes: training a machine learning algorithm by taking the blocking degree of the first type monitoring points recorded in the historical video image signals as output parameters, and taking the trained machine learning algorithm as the recognition algorithm model; and after the video image signal is input into the recognition algorithm model, obtaining the blocking degree of the first-class monitoring point according to the output result of the recognition algorithm model. For example, the machine learning algorithm is trained according to the pixel values of the historical video image signals and the judgment result labels of the blockage degree. Through dividing the blockage degree, the blockage degree can be monitored before the machine is stopped seriously, so that the machine is dredged in advance, and the influence on efficiency and the brought economic loss caused by the machine stop are avoided.
As shown in fig. 3 and 4, the system for detecting material blockage in a production line of a coal preparation plant may further include an inductive switch sensor 104, which is disposed at a second type monitoring point of the production line, wherein the inductive switch sensor 104 detects a material transportation state of the second type monitoring point and generates a switching value digital signal; the probability of blockage of the second type of monitoring points is less than that of the first type of monitoring points; the main control server 103 receives the switching value digital signal sent by the inductive switch sensor 104, and judges whether the second type of monitoring point is blocked and the blocking degree of the second type of monitoring point according to the switching value digital signal; the main control server 103 is further configured to obtain a detection result of the blockage of the production line after merging the judgment result of whether the first type monitoring point is blocked, the blockage degree of the first type monitoring point, the judgment result of whether the second type monitoring point is blocked, and the blockage degree of the second type monitoring point. In some embodiments, multiple types of sensors can be arranged at the same monitoring point to detect the monitoring point, and the actual transportation state of the monitoring point is judged after the detection results of the multiple types of sensors are fused.
In the above scheme, the switch sensor 104 has various types, and an appropriate type may be selected according to a setting position, taking a chute as an example: a blocking switch is arranged in the chute; the outer gate-type limit travel switch or hall switch of installation of chute, adorn inboard infrared detection switch etc. outward. In the scheme, after data verification and verification, a video detection sensor or a combination of multiple detection sensors is installed at a position easy to block, only a conventional block detection switch is installed at other positions, the switching value detected by the switching sensor 104 is a digital value, the digital value is one of physical quantities, the change of the digital value is discontinuous in time and always occurs at a series of discrete moments, so that the digital value is also called a discrete value, which means a discrete value without an intermediate value, and the digital value is a '0' or '1' signal in a simple way. The video image is an analog quantity, and the analog quantity refers to a quantity of which the variable changes continuously in a certain range; i.e. can take any value (within a range of values) within a certain range (domain of definition). Therefore, the processing difficulty of the digital quantity is far smaller than that of the analog quantity, the switching value is set at some conventional blocking points (or positions where blocking is not easy to occur), the state of the blocking points is judged through the processing of the digital quantity, and the pressure brought to the server processing data quantity by adopting video image detection is avoided.
In the above scheme, the blockage degree includes a first level blockage degree, a second level blockage degree and a third level blockage degree; the master control server 103 sends out an early warning signal to the controlled device corresponding to the jam point when the jam point is judged to be the first level jam degree, sends out a warning signal to the controlled device corresponding to the jam point when the jam point is judged to be the second level jam degree, and sends out a stop signal to the controlled device corresponding to the jam point when the jam point is judged to be the third level jam degree. Through dividing the degree of blocking into different stages, can in time dredge the jam point when one-level degree of blocking, take measures in advance, eliminate the deviation that probably takes place in the sprouting state, in order to avoid the problem that different development stages probably appear in the future and the measure of taking in advance. When the condition needing alarming appears, the alarm can be sent out in time so as to remind the staff of intervening in time. In severe cases, the machine must be stopped. This scheme can be convenient to the intelligent leading control of material detection and processing in the coal preparation plant production system handle, control mode is nimble, detect and handle multiple combination, make coal preparation plant production line material detect and handle and reach intellectuality, informationization, merge coal preparation plant information management system platform, solved coal preparation plant material chute and detected and handle the lag problem, the detected signal is through big data calculation processing, the leading feedback processing of material jam, reduce production line parking time, production efficiency and economic benefits's promotion is showing.
Each monitoring point on the production line can be provided with a number, a video detection sensor or an induction type switch sensor arranged at the monitoring point has a specific equipment identifier, and similarly, an alarm component, a controlled component and the like are all configured with unique ID information, and all the information can be associated together, so that the method can realize that: any monitoring point on the production line is blocked and can be immediately identified, and the conveying equipment at the upstream of the blocked monitoring point and the dredging equipment arranged at the blocked monitoring point can be determined, so that the frequency reduction treatment can be directly carried out on the upstream conveying equipment, and the starting operation can be carried out on the dredging equipment of the blocked monitoring point.
In the above solutions, as shown in fig. 5 and fig. 6, the controlled device may include a frequency converter 105, an input end of which is connected to an output end of the main control server 103, and an output end of which is connected to a control end of the conveying equipment 106 at the jam point or upstream of the jam point. Among them, the Variable-frequency Drive (VFD) is a power control device that applies frequency conversion technology and microelectronic technology and controls an ac motor by changing the frequency of the operating power supply of the motor. The frequency converter 105 is configured to receive the early warning signal sent by the main control server 103, and reduce the lower frequency limit threshold from the reduced operating frequency of the conveying device 106 to the conveying device 106 according to the early warning signal. The main control server 103 may pre-store a mapping relationship between the control signal and the monitoring point blockage detection result, for example, after it is determined that the monitoring point is blocked, each large-flow transportation device may be controlled to reduce the operation rate, so as to reduce the amount of material entering the blockage point. Taking fig. 6 as an example, when the chute 202 is blocked, the "n-1" frequency converter 1051 at the upstream of the chute 202 will reduce the operating frequency of the "n-1" conveyor to the minimum, and the "n" frequency converter 1052 at the upstream of the chute 202 will reduce the operating frequency of the "n" conveyor to the minimum, thereby reducing the amount of material entering the hopper 201 and thus reducing the amount of material entering the chute 202. That is, according to the scheme, when the production line is slightly blocked, the feeding conveying equipment 106 can be controlled to reduce the operation frequency, preferably, the main control server 103 can also control the upstream conveying equipment of the blocking point corresponding to the current one-level blocking degree to reduce the operation frequency, so that the amount of the inflow material entering the blocking point corresponding to the current one-level blocking degree is reduced, the material accumulation is reduced under the condition of less material accumulation amount, the production accident caused by material accumulation is reduced, the whole-line large-flow conveying equipment of a large-scale production system operates in a decelerating manner, the material incoming amount of the upstream equipment is greatly reduced, the processing time is prolonged for the processing of the blocking material of the blocking point, the abrasion and the energy consumption of the equipment are reduced, therefore, a feedforward control method can be applied to comprehensively and automatically control the blocking point of the production line, and the slight blocking fault of the blocking point in the production line is eliminated in the initial state.
Preferably, in some embodiments, the controlled device may further include a vibration component 108, and the vibration component 108 is connected to the output end of the master control server 103 through the power distribution control cabinet 107. The vibration component 108 includes a vibration motor 1081 or an air cannon 1082 arranged at a monitoring point, and the vibration component 108 is configured to receive the early warning signal sent by the master control server 103, and control the vibration motor 1081 or the air cannon 1082 to start according to the early warning signal. This scheme application is opened air bubble and is replaced indisputable pincers, iron hammer instrument, utilizes aerodynamic's mode to dredge the jam point. The method is the same as the air cannon in that a vibration motor is arranged outside a monitoring point, when the monitoring point is judged to be a blocking point, the vibration of the blocking point is applied to change the position of the coal blocks, and the principle of vibration mechanics is applied to dredge the blocking point. Taking chute 202 as an example, vibrating motor 1081 sets up the outer wall at chute 202, air bubble 1082 sets up inside chute 202, after detecting that the chute blocks up, the mediation processing apparatus automatic start of main control server 103 control chute department, vibrating motor 1081 sends the vibrational force to the chute wall, air bubble 1082 dredges the jam material of jam point automatically, after the jam processing finishes, main control server 103 can receive the normal signal of system, main control server 103 can stop the operation of jam processing apparatus automatically, all production line equipment shift to normal production state.
Further preferably, the controlled device in the production line material blockage detection system of the coal preparation plant may further include an alarm component, which is arranged at the monitoring point, and an input end of the alarm component is connected with an output end of the main control server 103; and the alarm part receives the alarm signal sent by the main control server 103 and then sends an alarm prompt signal. Specifically, the alarm component can be speaker, warning light etc. and the form through broadcast pronunciation or scintillation warning light makes the site work personnel learn the position that takes place to block up, and the suggestion is patrolled to the material jam point and is patrolled nearby patrolled personnel, and the auxiliary treatment guarantees that to block up the chute and finishes fast.
In the system for detecting material blockage in the production line of the coal preparation plant in some embodiments, the controlled device is a conveying device 106, a control end of the conveying device is connected with an output end of the main control server 103, and the conveying device stops working after receiving the stop signal. The blockage degree may be too high due to the shutdown, or a sensor detecting the blockage may fail or the normal state may still not be recovered after the blockage is processed. For example, in the early warning state, when the abnormal production phenomenon appears in the material conveying state signal, the system carries out blocking pretreatment. After the pretreatment is started, whether the material signal can be recovered to a normal production state is always detected, if the material signal cannot be recovered, after an alarm signal is triggered, a system officially alarms, and then the system stops the production.
In the coal preparation plant production line in the scheme, the process of detecting the blockage treatment of material blockage is divided into two stages: firstly, a detection mode is adopted, video detection is arranged at monitoring points which are easy to block, or a detection mode combining video detection and conventional detection is adopted, and a conventional detection mode is arranged at monitoring points which are difficult to block. Secondly, the processing mode after the blockage is detected, if the blockage trigger signal is detected, the controlled equipment is controlled in a linkage control mode, the running frequency of the conveying equipment is reduced, and a vibration part arranged at a blockage point can be started to process the materials causing the blockage. If the blockage is serious, the system automatically controls the stop and informs related personnel to process the production accident of the blockage. The scheme can realize the purposes of reducing the parking frequency and rapidly dredging the chute.
In some embodiments of the present application, the main control server 103 is further configured to arrange all the first type monitoring points and the second type monitoring points according to a transportation direction, and control a display screen to display the arrangement result; in the arrangement result, each monitoring point is configured with an identification display area, the identification display area is used for displaying the type of the monitoring point, the judgment result of whether the monitoring point is blocked, the blocking degree, the blocking processing mode and the blocking processing state, and a display interface can be shown as fig. 7.
The scheme that this application embodiment provided, with the new application of artificial intelligence image recognition technique to the coal preparation factory jam detection and handle in, improved the detection level of material position, production line material condition monitoring can be used automatic alarm and image simultaneously, shows on the upper operation picture of centralized control room and monitoring screen, makes things convenient for operating personnel and managers in time to judge and handle the production situation. The material blockage is solved in an initial state by a feedforward control method, the processing time is reduced, and the tamping foundation is improved for the production efficiency. The technology of the application is utilized to improve the production process design of the coal preparation plant, the main conveying equipment with larger material quantity on the coal flow line of the coal preparation plant is designed to be frequency conversion control if a belt conveyor/scraper machine is designed, the time is buffered for solving the problem of material blockage of the production line, the material quantity of upstream materials is greatly reduced, and meanwhile, under the condition that the production line is blocked or other conditions occur, the control is convenient, the energy is saved obviously, and the product quality is controllable. The application of network technology, various communication technologies can reduce the delay of data transmission time. The application of an industrial standard technical protocol enables a control technology of material blockage detection and treatment to be seamlessly linked with a production control system, so that the material blockage detection and treatment system is easy to enter a MIS system of a coal preparation plant and becomes a subsystem of a comprehensive automation system of an intelligent coal preparation plant.
This scheme makes coal preparation plant production line material chute detect and handle the integration, has improved production efficiency for coal preparation plant production line chute detects and handles and reaches automation, intellectuality. The feed-forward control pre-disposes material blockage, and production accidents are preposed to prevent the occurrence of the production accidents. The artificial intelligence technology is combined with the Ethernet technology and the network configuration technology, and data sharing is adopted, so that the condition of a material production line can be intuitively monitored in real time at multiple angles, and the production is more efficient and safer. The integrated system for detecting and processing the material chute of the production line has the advantages of simple control and operation, easy maintenance and expansion, labor saving, material resource saving and time cost saving, and can be used for filling the intelligent short plates of the coal preparation plant. In addition, the scheme has obvious economic benefit, and the production is stopped and the production efficiency is reduced according to the cost calculated by factors such as the manual treatment, the equipment empty consumption, the water and electricity dielectric auxiliary material consumption, the labor and the like after the material chute of the production line of the existing coal preparation plant. The chute material blockage accident of once comprehensive post-treatment has high production cost, economy is calculated according to minutes, the number of the chute material blockage accidents is reduced once per shift on average, and the production economic benefit is obviously improved every year.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of this invention are intended to be covered by the present application.
Claims (10)
1. The utility model provides a coal preparation plant production line material blocks up detecting system which characterized in that includes:
the video detection sensor is arranged at a first type monitoring point of the production line; the video detection sensor detects the material transportation state of the first type monitoring point and generates a video image signal;
the image recognition server receives the video image signal sent by the video detection sensor and judges whether the first type of monitoring point is blocked according to the video image signal;
the main control server receives the judgment result of whether the first type of monitoring points are blocked sent by the image recognition server, and obtains a production line blocking detection result according to the judgment result of whether all the first type of monitoring points are blocked;
the master control server transmits a detection result of the production line blockage to a large production system; if any one first-type monitoring point is blocked, the large production system generates a linkage signal, the large production system controls conveying equipment at the upstream of the blocking point to reduce the amount of source materials through the linkage signal, and dredging equipment of the blocking point is started to dredge materials of the blocking point; and the large production system generates a normal production recovery signal after the main control server judges that the blockage point is normally dredged, and the large production system recovers normal production.
2. The coal preparation plant production line material blockage detection system as recited in claim 1, wherein:
an identification algorithm model is preset in the image identification server, and the identification algorithm model is obtained in the following way: taking a historical video image signal as an input parameter, taking a judgment result of whether a first type of monitoring points recorded in the historical video image signal are blocked as an output parameter, training a machine learning algorithm, and taking the trained machine learning algorithm as the recognition algorithm model;
and after the video image signal is input into the recognition algorithm model, obtaining a judgment result of whether the first-class monitoring points are blocked according to an output result of the recognition algorithm model.
3. The system of claim 2, wherein the recognition algorithm model in the image recognition server, when training a machine learning algorithm, further comprises:
training a machine learning algorithm by taking the blocking degree of the first type monitoring points recorded in the historical video image signals as output parameters, and taking the trained machine learning algorithm as the recognition algorithm model;
and after the video image signal is input into the recognition algorithm model, obtaining the blocking degree of the first-class monitoring point according to the output result of the recognition algorithm model.
4. The system of claim 3, further comprising:
the inductive switch sensor is arranged at a second type monitoring point of the production line, detects the material transportation state of the second type monitoring point and generates a switching value digital signal; the probability of blockage of the second type of monitoring points is less than that of the first type of monitoring points;
the master control server receives the switching value digital signals sent by the inductive switch sensor, and judges whether the second type of monitoring points are blocked and the blocking degree of the second type of monitoring points according to the switching value digital signals;
the master control server is further used for obtaining a production line blockage detection result after fusing the judgment result of whether the first type monitoring point is blocked, the blockage degree of the first type monitoring point, the judgment result of whether the second type monitoring point is blocked and the blockage degree of the second type monitoring point.
5. The coal preparation plant production line material blockage detection system as recited in claim 4, wherein:
the blockage degree comprises a first level blockage degree, a second level blockage degree and a third level blockage degree;
the main control server sends out an early warning signal to the controlled device corresponding to the jam point when the jam point is judged to be the first level jam degree, sends out a warning signal to the controlled device corresponding to the jam point when the jam point is judged to be the second level jam degree, and sends out a stop signal to the controlled device corresponding to the jam point when the jam point is judged to be the third level jam degree.
6. The system of claim 5, wherein the controlled device comprises:
the input end of the frequency converter is connected with the output end of the main control server, and the output end of the frequency converter is connected with the control end of the conveying equipment at a monitoring point or at the upstream of the monitoring point;
the frequency converter is used for receiving the early warning signal sent by the master control server and reducing the lower frequency limit threshold value from the reduced operation frequency of the conveying equipment to the conveying equipment according to the early warning signal.
7. The system of claim 6, wherein the controlled device comprises:
the vibration component comprises an air cannon or a vibration motor arranged at a monitoring point, and the input end of the vibration component is connected with the output end of the master control server; the vibration component is used for receiving the early warning signal sent by the main control server and controlling the air cannon or the vibration motor to start according to the early warning signal.
8. The system of claim 7, wherein the controlled device comprises:
the alarm component is arranged at the monitoring point, and the input end of the alarm component is connected with the output end of the master control server; and the alarm component receives the alarm signal sent by the main control server and then sends an alarm prompt signal.
9. The system of claim 8, wherein the controlled device comprises:
and the control end of the conveying equipment is connected with the output end of the main control server, and the conveying equipment stops working after receiving the stop signal.
10. The coal preparation plant production line material blockage detection system as recited in any one of claims 4-9, wherein:
the main control server is also used for arranging all the first type monitoring points and the second type monitoring points according to the transportation direction and controlling a display screen to display the arrangement result; in the arrangement result, each monitoring point is provided with an identification display area, and the identification display area is used for displaying the type of the monitoring point, the judgment result of whether the monitoring point is blocked, the blocking degree, the blocking processing mode and the blocking processing state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110776278.8A CN113401617A (en) | 2021-07-09 | 2021-07-09 | Coal preparation plant production line material blockage detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110776278.8A CN113401617A (en) | 2021-07-09 | 2021-07-09 | Coal preparation plant production line material blockage detection system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113401617A true CN113401617A (en) | 2021-09-17 |
Family
ID=77685854
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110776278.8A Pending CN113401617A (en) | 2021-07-09 | 2021-07-09 | Coal preparation plant production line material blockage detection system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113401617A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113955521A (en) * | 2021-10-29 | 2022-01-21 | 广东韶钢松山股份有限公司 | Automatic detect unloading elephant trunk and swift current material device that blocks up with mediation |
| CN114653604A (en) * | 2022-02-24 | 2022-06-24 | 大唐互联科技(武汉)有限公司 | RFID-based rapid sorting and boxing method combined with in-warehouse management |
| CN114754598A (en) * | 2022-06-14 | 2022-07-15 | 深圳中宝新材科技有限公司 | Method and device for reducing power consumption of gold bonding wire production line imaging system |
| CN115009800A (en) * | 2022-06-09 | 2022-09-06 | 华能太仓发电有限责任公司 | Coal feeder coal breakage pipe bridging coal breakage early warning device |
| CN115857424A (en) * | 2022-12-08 | 2023-03-28 | 广州华糖食品有限公司 | Anti-blocking alarm system and method |
| CN116620877A (en) * | 2023-07-21 | 2023-08-22 | 成都考拉悠然科技有限公司 | Method and system for detecting and processing blanking cabinet blocking materials based on deep learning |
| CN117455918A (en) * | 2023-12-25 | 2024-01-26 | 深圳市辉熙智能科技有限公司 | Anti-blocking feeding method and system based on image analysis |
| WO2024193098A1 (en) * | 2023-03-23 | 2024-09-26 | 华能煤炭技术研究有限公司 | Unblocking control method and system for coal blockage |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140247347A1 (en) * | 2013-03-04 | 2014-09-04 | Matthew C. McNeill | Methods and Apparatus for Video Based Process Monitoring and Control |
| CN112050850A (en) * | 2019-06-05 | 2020-12-08 | 西安瑞德宝尔智能科技有限公司 | Raw material bin blocking monitoring method and device |
| CN112381054A (en) * | 2020-12-02 | 2021-02-19 | 东方网力科技股份有限公司 | Method for detecting working state of camera and related equipment and system |
| CN216140787U (en) * | 2021-07-09 | 2022-03-29 | 泰戈特（北京）工程技术有限公司 | Coal preparation plant production line material blockage detection system |
-
2021
- 2021-07-09 CN CN202110776278.8A patent/CN113401617A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140247347A1 (en) * | 2013-03-04 | 2014-09-04 | Matthew C. McNeill | Methods and Apparatus for Video Based Process Monitoring and Control |
| CN112050850A (en) * | 2019-06-05 | 2020-12-08 | 西安瑞德宝尔智能科技有限公司 | Raw material bin blocking monitoring method and device |
| CN112381054A (en) * | 2020-12-02 | 2021-02-19 | 东方网力科技股份有限公司 | Method for detecting working state of camera and related equipment and system |
| CN216140787U (en) * | 2021-07-09 | 2022-03-29 | 泰戈特（北京）工程技术有限公司 | Coal preparation plant production line material blockage detection system |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113955521A (en) * | 2021-10-29 | 2022-01-21 | 广东韶钢松山股份有限公司 | Automatic detect unloading elephant trunk and swift current material device that blocks up with mediation |
| CN114653604A (en) * | 2022-02-24 | 2022-06-24 | 大唐互联科技(武汉)有限公司 | RFID-based rapid sorting and boxing method combined with in-warehouse management |
| CN115009800A (en) * | 2022-06-09 | 2022-09-06 | 华能太仓发电有限责任公司 | Coal feeder coal breakage pipe bridging coal breakage early warning device |
| CN115009800B (en) * | 2022-06-09 | 2023-11-17 | 华能太仓发电有限责任公司 | Coal feeder coal drop pipe bridging coal breakage early warning device |
| CN114754598A (en) * | 2022-06-14 | 2022-07-15 | 深圳中宝新材科技有限公司 | Method and device for reducing power consumption of gold bonding wire production line imaging system |
| CN114754598B (en) * | 2022-06-14 | 2022-09-02 | 深圳中宝新材科技有限公司 | Method and device for reducing power consumption of gold bonding wire production line imaging system |
| CN115857424A (en) * | 2022-12-08 | 2023-03-28 | 广州华糖食品有限公司 | Anti-blocking alarm system and method |
| WO2024193098A1 (en) * | 2023-03-23 | 2024-09-26 | 华能煤炭技术研究有限公司 | Unblocking control method and system for coal blockage |
| CN116620877A (en) * | 2023-07-21 | 2023-08-22 | 成都考拉悠然科技有限公司 | Method and system for detecting and processing blanking cabinet blocking materials based on deep learning |
| CN117455918A (en) * | 2023-12-25 | 2024-01-26 | 深圳市辉熙智能科技有限公司 | Anti-blocking feeding method and system based on image analysis |
| CN117455918B (en) * | 2023-12-25 | 2024-03-26 | 深圳市辉熙智能科技有限公司 | Anti-blocking feeding method and system based on image analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113401617A (en) | Coal preparation plant production line material blockage detection system | |
| CN105354755B (en) | The management method of supply equipment based on Internet of Things | |
| CN109724785A (en) | A kind of tool condition monitoring and life prediction system based on Multi-source Information Fusion | |
| CN108830390A (en) | A kind of intelligent operational system and method for charging station | |
| CN216140787U (en) | Coal preparation plant production line material blockage detection system | |
| CN109933034A (en) | A kind of Information Management System and method for sandstone aggregate production | |
| CN103984320A (en) | System and method for monitoring enterprise rainwater drainage outlets based on internet of things | |
| CN112836935B (en) | Wisdom water management platform suitable for power plant | |
| CN108588763B (en) | Electrolytic tank and crust breaking and discharging system thereof | |
| CN107942792A (en) | A kind of multi-platform production line mechanical equipment control system and method | |
| CN103901845A (en) | Remote intelligent management method and system for oilfield production field Internet of things equipment | |
| CN112700351A (en) | Data processing method and system for intelligent water management platform | |
| CN115857402A (en) | Intelligent control system for coal conveying of coal mine | |
| CN112668931A (en) | Intelligent water affair management method and system based on deep learning | |
| CN110193420A (en) | One kind is for movable Crushing screening station failure diagnostic system and method | |
| CN211676765U (en) | Self-adaptive control system of electrolytic aluminum purification dust remover | |
| CN209560351U (en) | A kind of walking compactor control system certainly | |
| CN116777077A (en) | Intelligent management method for hot water supply network based on cloud computing technology | |
| CN101957604A (en) | System and method for grading identification and quality-based discharge monitoring of controlled online test of surface water | |
| CN107632571A (en) | A kind of novel intelligent building data acquisition and energy consumption control system | |
| KR102517403B1 (en) | Cloud-based ESS remote safety management system using gateway | |
| CN206282126U (en) | A kind of full-automatic wet spraying machine control system based on Internet of Things cognition technology | |
| CN117101849A (en) | Single-shaft shredder remote monitoring system based on Internet of things | |
| CN216082027U (en) | Intelligent detection prompt system on dense medium sorting machine | |
| CN111638677B (en) | Foundry waste sand regeneration control method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |