CN114861948A - Intelligent self-checking method and system for equipment and storage medium - Google Patents
Intelligent self-checking method and system for equipment and storage medium Download PDFInfo
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Abstract
The invention discloses an intelligent self-checking method of equipment, terminal equipment and a computer readable storage medium, which are characterized in that real-time operation data of equipment to be inspected are collected; reading the real-time running data according to a preset equipment inspection task, and calling a preset system health evaluation model to determine an inspection result of the equipment to be inspected according to the real-time running data; and executing corresponding equipment management operation according to the inspection result, wherein the equipment management operation comprises at least one of equipment fault alarm, equipment maintenance and equipment operation data analysis. By applying the technical scheme of the invention, the resource occupation condition and inaccurate evaluation result of the traditional manual inspection equipment can be avoided, and the inspection efficiency of the equipment is improved to a great extent.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an intelligent self-checking method and system for equipment and a computer readable storage medium.
Background
In the current situation, the routing inspection of the electrical equipment arranged in the building is usually realized based on an offline manual routing inspection mode, that is, a worker sequentially goes to a security and protection place of the equipment with the routing inspection equipment to check the specific conditions of the equipment, and then, the real-time running state data of the equipment is manually registered to a corresponding routing inspection registration table so as to judge whether the running of each electrical equipment meets a set standard based on the routing inspection registration table manually.
Therefore, under the condition that the number of the electrical equipment configured in the building is large, a large amount of time and manpower are needed to conduct equipment inspection work, and whether the equipment operates normally or not is finally judged, so that the inspection efficiency for the equipment is low.
Disclosure of Invention
The invention mainly aims to provide an intelligent self-checking method and an intelligent self-checking system for equipment and a computer readable storage medium, aiming at realizing automatic inspection and evaluation of the running state of the equipment and improving inspection efficiency of the equipment.
In order to achieve the above object, the present invention provides an intelligent self-checking method for equipment, which comprises the following steps:
collecting real-time operation data of equipment to be inspected;
reading the real-time running data according to a preset equipment inspection task, and calling a preset system health evaluation model to determine an inspection result of the equipment to be inspected according to the real-time running data;
and executing corresponding equipment management operation according to the inspection result, wherein the equipment management operation comprises at least one of equipment fault alarm, equipment maintenance and equipment operation data analysis.
Optionally, the method further comprises:
extracting the real-time operation data to construct a training data set;
and carrying out model training according to the training data set to obtain the system health assessment model.
Optionally, the device intelligent self-checking method further includes:
the real-time operation data are stored in a preset data storage module, so that the real-time operation data are obtained from the data storage module, the step of reading the real-time operation data according to a preset equipment inspection task is executed, the step of analyzing the equipment operation data according to the inspection result is executed, and the step of extracting the real-time operation data to construct a training data set is executed.
Optionally, the step of performing equipment maintenance according to the inspection result includes:
determining corresponding target alarm equipment when the equipment fault alarm is executed;
and generating a to-be-processed work order for maintaining the target alarm device, and outputting the to-be-processed work order to a maintenance platform corresponding to the target alarm device, so that the maintenance platform allocates the to-be-processed work order to maintain the target alarm device.
Optionally, the step of reading the real-time running data according to a preset device inspection task includes:
extracting task parameters contained in the equipment inspection task, wherein the task parameters comprise: the equipment name, equipment inspection sequence and equipment inspection time of one or more equipment to be inspected;
and reading the real-time running data according to one or more equipment names and the equipment inspection sequence at the equipment inspection time.
Optionally, the method further comprises:
and receiving first custom configuration data of an inspection task, and generating the equipment inspection task according to the custom configuration data.
Optionally, the step of calling a preset system health assessment model to determine the inspection result of the equipment to be inspected according to the real-time operation data includes:
matching a corresponding preset service rule according to the real-time operation data, and calling the system health assessment model corresponding to the preset service rule;
taking the real-time operation data as the input of the system health assessment model to obtain the output of the system health assessment model after operation is carried out according to the real-time operation data;
and determining the inspection result of the equipment to be inspected to which the real-time operation data belongs according to the output.
Optionally, the method further comprises:
and receiving second user-defined configuration data of the business rule, and generating the business rule according to the user-defined configuration data.
In addition, in order to achieve the above object, the present invention further provides an intelligent self-inspection system for equipment, including: the intelligent self-checking system comprises a memory, a processor and an intelligent self-checking program of the equipment, wherein the intelligent self-checking program of the equipment is stored on the memory and can run on the processor, and when being executed by the processor, the intelligent self-checking program of the equipment realizes the steps of the intelligent self-checking method of the equipment.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, where the computer readable storage medium stores an intelligent self-checking program for a device, and when the intelligent self-checking program for a device is executed by a processor, the intelligent self-checking program for a device realizes the steps of the intelligent self-checking method for a device as described above.
The intelligent self-checking method, the intelligent self-checking system and the computer readable storage medium of the equipment provided by the invention collect the real-time operation data of the equipment to be inspected; reading the real-time running data according to a preset equipment inspection task, and calling a preset system health evaluation model to determine an inspection result of the equipment to be inspected according to the real-time running data; and executing corresponding equipment management operation according to the inspection result, wherein the equipment management operation comprises at least one of equipment fault alarm, equipment maintenance and equipment operation data analysis.
Compared with the conventional mode of manually inspecting and evaluating the running state of equipment, the method and the system have the advantages that the running data of each piece of equipment in the building is automatically acquired, so that the running data is read according to a pre-configured equipment inspection task, the inspection result of the equipment is determined by using a pre-trained system health evaluation model, and finally, corresponding equipment fault alarm, equipment maintenance and/or equipment running data analysis are further executed according to the inspection result. Therefore, the method and the system realize automatic routing inspection and evaluation of the current operation situation of the equipment through the training system health degree evaluation model, and simultaneously decide to execute corresponding management measures on the equipment based on the routing inspection evaluation result, so that the resource occupation condition and inaccurate evaluation result of the traditional manual routing inspection equipment are avoided, and the routing inspection efficiency of the equipment is improved to a great extent.
Drawings
Fig. 1 is a schematic structural diagram of hardware operation of an intelligent self-checking system for equipment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of an intelligent self-checking method for equipment according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an application scenario involved in an embodiment of an intelligent self-checking method for devices according to the present invention;
fig. 4 is a schematic structural diagram of an embodiment of an intelligent self-inspection apparatus for devices according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a hardware operating environment of an intelligent self-test system for devices according to an embodiment of the present invention.
It should be noted that the intelligent self-checking system for devices according to the embodiment of the present invention may be a terminal device integrated with an intelligent self-checking program of devices to automatically perform inspection and management on a plurality of electrical devices equipped in a building, where the terminal device may specifically be a server, a PC (Personal Computer), a tablet, a smart phone, and the like.
As shown in fig. 1, the device intelligent self-checking system may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., a WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal device configuration shown in fig. 1 does not constitute a limitation of the device intelligent self-test system, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a distributed task processing program. Among them, the operating system is a program that manages and controls the hardware and software resources of the sample terminal device, a handler that supports distributed tasks, and the execution of other software or programs.
In the intelligent self-checking system for equipment shown in fig. 1, the user interface 1003 is mainly used for data communication with each terminal; the network interface 1004 is mainly used for connecting a background server and performing data communication with the background server; and the processor 1001 may be configured to call the device smart self-test program stored in the memory 1005, and perform the following operations:
collecting real-time operation data of equipment to be inspected;
reading the real-time running data according to a preset equipment inspection task, and calling a preset system health evaluation model to determine an inspection result of the equipment to be inspected according to the real-time running data;
and executing corresponding equipment management operation according to the inspection result, wherein the equipment management operation comprises at least one of equipment fault alarm, equipment maintenance and equipment operation data analysis.
Further, processor 1001 may invoke a device smart self-test program stored in memory 1005, and also perform the following operations:
extracting the real-time operation data to construct a training data set;
and carrying out model training according to the training data set to obtain the system health assessment model.
Further, processor 1001 may invoke a device smart self-test program stored in memory 1005, and also perform the following operations:
the real-time operation data are stored in a preset data storage module, so that the real-time operation data are obtained from the data storage module, the step of reading the real-time operation data according to a preset equipment inspection task is executed, the step of analyzing the equipment operation data according to the inspection result is executed, and the step of extracting the real-time operation data to construct a training data set is executed.
Further, processor 1001 may invoke a device smart self-test program stored in memory 1005, and also perform the following operations:
determining corresponding target alarm equipment when the equipment fault alarm is executed;
and generating a to-be-processed work order for maintaining the target alarm device, and outputting the to-be-processed work order to a maintenance platform corresponding to the target alarm device, so that the maintenance platform allocates the to-be-processed work order to maintain the target alarm device.
Further, processor 1001 may invoke a device smart self-test program stored in memory 1005, and also perform the following operations:
extracting task parameters contained in the equipment inspection task, wherein the task parameters comprise: the equipment name, equipment inspection sequence and equipment inspection time of one or more equipment to be inspected;
and reading the real-time running data according to one or more equipment names and the equipment inspection sequence at the equipment inspection time.
Further, processor 1001 may invoke a device smart self-test program stored in memory 1005, and also perform the following operations:
and receiving first custom configuration data of an inspection task, and generating the equipment inspection task according to the custom configuration data.
Further, processor 1001 may invoke a device smart self-test program stored in memory 1005, and also perform the following operations:
matching a corresponding preset service rule according to the real-time operation data, and calling the system health assessment model corresponding to the preset service rule;
taking the real-time operation data as the input of the system health assessment model to obtain the output of the system health assessment model after operation is carried out according to the real-time operation data;
and determining the inspection result of the equipment to be inspected to which the real-time operation data belongs according to the output.
Further, processor 1001 may invoke a device smart self-test program stored in memory 1005, and also perform the following operations:
and receiving second user-defined configuration data of the business rule, and generating the business rule according to the user-defined configuration data.
Based on the structure, the invention provides various embodiments of the intelligent self-checking method of the equipment.
Referring to fig. 2, fig. 2 is a schematic diagram of a hardware architecture of a robot joint module according to an embodiment of the present invention. It should be noted that, although a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different than that shown or described herein.
The intelligent self-checking method for the equipment is applied to the terminal equipment, and specifically comprises the following steps: the terminal device executes the intelligent self-checking method of the device in the embodiment of the invention to automatically perform routing inspection evaluation and corresponding management operation on one or more electrical devices equipped in a building.
In this embodiment, the intelligent self-checking method for the device of the present invention includes:
s100, collecting real-time operation data of equipment to be inspected;
in this embodiment, the terminal device continuously acquires, through the device data acquisition module configured by the terminal device itself, respective real-time operation data of one or more electrical devices equipped in the corresponding building.
It should be noted that, in this embodiment, one terminal device may interface with one or more buildings to automatically inspect and manage electrical devices equipped in the one or more buildings. In addition, the real-time operation data includes, but is not limited to, three types of data, namely, attributes, functions and events of the respective devices. It should be understood that the real-time operation data of the device collected by the terminal device may of course also include other types of data not listed here in different possible embodiments, depending on different design requirements of the actual application.
For example, in the present embodiment, after a certain building is docked by the terminal device to automatically inspect and manage a plurality of electrical devices provided in the building, the terminal device takes the plurality of electrical devices as devices to be inspected. As shown in fig. 3, the terminal device may specifically control the pre-integrated device data acquisition module through the server to continuously and uninterruptedly perform data acquisition on the multiple devices to be inspected equipped in the currently docked building, that is, the server transmits a control instruction to the device data acquisition module to continuously acquire data of three types, namely, attributes, functions and events of each device to be inspected in the current building through the device data acquisition module, and performs associated storage on the data by using a unique device identifier corresponding to the device to be inspected, or further directly transmits and transmits the data to the server through the data transmission module configured to the terminal device.
Step S200, reading the real-time running data according to a preset equipment inspection task, and calling a preset system health evaluation model to determine an inspection result of the equipment to be inspected according to the real-time running data;
in this embodiment, after the terminal device acquires the real-time operation data of the device to be inspected through the device data acquisition module, or while the terminal device acquires the real-time operation data through the device data acquisition module, the terminal device further reads the corresponding real-time operation data according to the device inspection task generated by the inspection scene module configured by the terminal device, and calls a system health assessment model trained in advance to assess according to the real-time operation data, so as to determine the inspection result of the device to be inspected to which the real-time operation data belongs.
It should be noted that, in this embodiment, the preset device polling task is configured and generated by the terminal device through the polling scene module configured by the terminal device itself based on the polling requirement of the input device of the building management staff. For example, the inspection scene module outputs a user graphical interface capable of performing human-computer interaction through a display, so that a building management worker inputs task scene management of equipment inspection at each time based on the user graphical interface to form an equipment inspection requirement, then the inspection scene module can generate a corresponding equipment inspection task based on the equipment inspection requirement, and immediately transmits the equipment inspection task to a server of the terminal equipment when the current time is detected to reach the time input by the building management worker in the task scene management, the server controls and reads real-time running data of the equipment to be inspected, and a system health assessment model is called to perform corresponding operation to determine an inspection result.
In addition, in this embodiment, the preset system health assessment model is a model in which the terminal device has been trained in advance based on a machine learning manner, and is used for performing model calculation according to real-time operation data of the device, so that an accurate inspection result of the device can be output.
Further, in some feasible embodiments, the intelligent self-checking method for the device of the present invention may further include:
extracting the real-time operation data to construct a training data set;
and carrying out model training according to the training data set to obtain the system health assessment model.
In this embodiment, the terminal device may collect the respective real-time operation data of each device to be inspected through the device data collection module configured by the terminal device on the premise of determining the respective operation conditions of the devices to be inspected in the building, and store the respective real-time operation data in the data storage module configured by the terminal device, and then the terminal device extracts the respective real-time operation data of the devices to be inspected with known operation conditions and forms a piece of training data together with the operation conditions, so that a training data set with a plurality of pieces of training data is constructed.
Then, the terminal device performs model training on an initial machine learning model in a machine learning-based mode through a constructed training data set until the model training performed on the machine learning model converges, and the machine learning model is used as a system health assessment model for performing model calculation according to real-time operation data of the device so as to output an accurate inspection result of the device.
Illustratively, the terminal device may specifically use real-time operation data of the device to be inspected in each piece of training data as an input of the machine learning model, and use a known operation condition of the device to be inspected in the piece of training data as an output of the machine learning model, so as to perform iterative training on the machine learning model until model training converges.
It should be understood that, in this embodiment, the convergence of model training performed by the terminal device for the initial machine learning may specifically be: the method comprises the steps that terminal equipment inputs any piece of training data which is not used for model training of a machine learning model into the machine learning model for testing, if output of the machine learning model after calculation according to the real-time operation data is consistent with known running conditions of the equipment to be inspected in the training data, model training aiming at the machine learning model is confirmed to be converged, and therefore the terminal equipment can use the machine learning model as the system health assessment model which is used for performing model calculation according to the real-time operation data of the equipment and outputting accurate inspection results of the equipment.
In the embodiment, the terminal device obtains the system health degree evaluation model by performing model training in advance, so that the problems of non-uniform standard and poor accuracy of the traditional manual judgment are solved, and the risk and the hidden danger of erroneous judgment easily caused by the routing inspection result of the manual empirical evaluation device are effectively avoided.
Further, in some feasible embodiments, the intelligent self-checking method for the device of the present invention may further include:
the real-time operation data are stored in a preset data storage module, so that the real-time operation data are obtained from the data storage module, the step of reading the real-time operation data according to a preset equipment inspection task is executed, the step of analyzing the equipment operation data according to the inspection result is executed, and the step of extracting the real-time operation data to construct a training data set is executed.
In this embodiment, as shown in fig. 3, when the terminal device is configured with the data storage module, the server may control the device data acquisition module to acquire real-time operation data of each device to be inspected in the building currently docked with the terminal device, and the acquired real-time operation data is transmitted to the data storage module through the data transmission module to be stored in association with the data storage module. Therefore, after a server of subsequent terminal equipment receives an equipment inspection task generated by an inspection scene module, the step of reading the real-time running data according to the preset equipment inspection task can be executed based on the data storage module, the step of extracting the real-time running data to construct a training data set can be executed based on the data storage module when the terminal equipment needs to train the system health assessment model, and the step of executing the analysis of the equipment running data according to the inspection result, which is explained later, can be executed based on the data storage module when the terminal equipment forms a data decision report based on the comprehensive analysis of the equipment data, fault data, inspection data and work order processing data generated by the equipment to be inspected in the building through the data analysis display module.
Further, in some possible embodiments, in the step S200, the step of performing equipment maintenance according to the inspection result may specifically include:
step S201, extracting task parameters contained in the equipment inspection task, wherein the task parameters comprise: the equipment name, equipment inspection sequence and equipment inspection time of one or more equipment to be inspected;
it should be noted that, in this embodiment, the preset device polling task is generated based on the device polling requirement of the building management staff by the polling scene module configured to the terminal device.
In this embodiment, when the terminal device automatically reads real-time operation data of the device to be inspected for inspection, after receiving the device inspection task transmitted by the inspection scene module through the server, the terminal device first extracts task parameters, such as a device name, a device inspection sequence, and device inspection time, included in the device inspection task and input by a building management worker in task scene management of current device inspection.
And S202, reading the real-time running data according to one or more equipment names and the equipment inspection sequence at the equipment inspection time.
In this embodiment, after extracting each task parameter in the device inspection task, that is, when detecting that the current time reaches the device inspection time in the task parameter, the terminal device immediately determines, by the server, each device to be inspected that is to be inspected currently according to one or more device names in the task parameter, and further sequentially reads real-time operation data corresponding to each device to be inspected from the data storage module according to the device inspection sequence in the task parameter.
Further, in some feasible embodiments, the intelligent self-checking method for the device of the present invention may further include:
and receiving first custom configuration data of an inspection task, and generating the equipment inspection task according to the custom configuration data.
It should be noted that, in this embodiment, the first custom configuration data is specific content of task scene management of each device inspection, which is input by the building management staff, such as the number of devices to be inspected currently, respective names of the devices, inspection sequences of the devices, and initiation time of the current inspection.
In this embodiment, when the terminal device generates the device inspection task through the inspection scene module configured by the terminal device, the inspection scene module outputs a graphical user interface capable of human-computer interaction, so that a building management worker of a building to which the terminal device is currently connected can input task scene management such as the number of devices to be inspected currently, names of the devices, inspection sequences of the devices, and initiation time of current inspection based on the graphical user interface to form a device inspection requirement, and then the inspection scene module can generate a corresponding device inspection task based on the device inspection requirement.
Further, in some possible embodiments, in the step S200, the step of calling a preset system health assessment model to determine the inspection result of the device to be inspected according to the real-time operation data may specifically include:
step S203, matching a corresponding preset service rule according to the real-time operation data, and calling the system health assessment model corresponding to the preset service rule;
step S204, the real-time operation data is used as the input of the system health assessment model to obtain the output of the system health assessment model after operation is carried out according to the real-time operation data;
and S205, determining the inspection result of the equipment to be inspected to which the real-time operation data belongs according to the output.
It should be noted that, in this embodiment, the preset service rule is used to determine whether the real-time operation data of the device to be inspected meets the normal standard of the device, and the service rule may be generated by a service rule engine module configured by the terminal device.
In addition, in the process of constructing the training data set and performing model training to obtain the system health assessment model, the terminal device can specifically perform the construction of the training data and the subsequent model training based on the real-time operation data of the equipment to be inspected, which meets the normal standard, under different business rules and the known operation condition of the equipment to be inspected, so that the terminal device can train to obtain the system health assessment model which is applied to the operation condition of the equipment to be inspected under the business rules for inspection assessment relative to the different business rules.
In this embodiment, after the terminal device reads the real-time operation data of the device to be inspected from the data storage module through the server, or after the terminal device directly receives the real-time operation data acquired by the device data acquisition module and transmitted by the data transmission module through the server, the terminal device further matches the corresponding system health assessment model based on the real-time operation data, so that the terminal device can use the real-time operation data as the input of the system health assessment model through the server to make the system health assessment model perform calculation according to the real-time operation data and output a calculation result, finally, if the calculation result identifies that the device to be inspected corresponding to the current real-time operation data is normal, the terminal device determines that the inspection result of the device to be inspected is normal, otherwise, if the calculation result identifies that the device to be inspected corresponding to the current real-time operation data is abnormal, the terminal equipment determines that the inspection result of the equipment to be inspected is faulty.
Further, in some feasible embodiments, the intelligent self-checking method for the device of the present invention may further include:
and receiving second user-defined configuration data of the business rule, and generating the business rule according to the user-defined configuration data.
It should be noted that, in this embodiment, the second custom configuration data is standard operation data or a standard operation data range that is autonomously input by the building management staff and used for defining normal operation of the device to be inspected.
In this embodiment, as shown in fig. 3, similarly, the service rule engine module outputs a graphical user interface capable of performing human-computer interaction through a display, so that a building management worker inputs standard operation data or a standard operation data range of one or more devices to be inspected in a building where the terminal device is docked based on the graphical user interface, and then the service rule engine module can generate a service rule corresponding to the device to be inspected based on the standard operation data or the standard operation data range.
In this embodiment, the terminal device can support the docked building management staff to configure the rule according to the local business management appeal through the configuration business rule engine module.
Step S300, executing corresponding equipment management operation according to the inspection result, wherein the equipment management operation comprises at least one of equipment fault alarm, equipment maintenance and equipment operation data analysis;
in the embodiment, after determining the inspection result of the equipment to be inspected, the terminal equipment automatically executes corresponding equipment management operation aiming at the equipment to be inspected according to the type of the inspection result, namely, when the inspection result identifies that the operation state of the equipment to be inspected is abnormal or has a fault at the current moment, equipment fault alarm is immediately carried out on the equipment to be inspected, then, further performing equipment maintenance on the equipment to be inspected so as to enable the equipment to be inspected, which is abnormal in operation condition or has a fault, to return to a normal operation state, or, and when the inspection result marks that the operation state of the equipment to be inspected at the current moment is normal, responding to the task of equipment operation data analysis to perform comprehensive equipment operation data analysis on the basis of equipment data, fault data, inspection data and worksheet processing data which are generated by the equipment to be inspected in history to form a data decision report.
For example, as shown in fig. 3, in this embodiment, after the terminal device calls the system health assessment model through the server to perform an operation according to the real-time operation data of the device to be inspected to determine the inspection result of the device to be inspected, and further when the type of the inspection result is abnormal or a fault exists, the terminal device performs a management operation of device fault alarm through a fault alarm module configured for the terminal device to be inspected regarding the abnormal operation information of the device to be inspected, that is, the fault alarm module generates a device alarm event regarding the abnormal operation information of the device to be inspected, and sends the device alarm event to the building management staff.
In addition, further, after the terminal device performs the management operation of the device fault alarm through the fault alarm module, or while performing the management operation of the device fault alarm, the terminal device further performs the device maintenance for the device to be inspected, that is, the work order processing module configured by the terminal device generates a corresponding work order to be processed based on the device to be inspected through the self-configured time, and sends the work order to be processed to the building management staff outside in the same way so as to enable the building management staff to perform the maintenance work on the device to be inspected.
And when the type of the inspection result is normal, the terminal equipment further analyzes the equipment operation data comprehensively based on the equipment data, fault data, inspection data and worksheet processing data which are generated by the equipment to be inspected in history through a data analysis display module configured by the terminal equipment to form a data decision report, and the data analysis display module outputs and displays the data decision report through a display.
Further, in some possible embodiments, in the step S300, the step of performing equipment maintenance according to the inspection result may specifically include:
determining corresponding target alarm equipment when the equipment fault alarm is executed;
and generating a to-be-processed work order for maintaining the target alarm device, and outputting the to-be-processed work order to a maintenance platform corresponding to the target alarm device, so that the maintenance platform allocates the to-be-processed work order to maintain the target alarm device.
In this embodiment, as shown in fig. 3, when the terminal device executes a management operation for maintaining the device for a device with an abnormal inspection result (i.e. the inspection result is abnormal or has a fault), first, the event work order processing module configured by the terminal device determines a target alarm device corresponding to the device fault alarm executed by the fault alarm sending module, i.e. determines a device name of the target alarm device corresponding to the device alarm event sent by the fault alarm sending module and abnormal information in an operating condition of the target alarm device, then, the event work order processing module of the terminal device generates a to-be-processed work order for maintaining the target alarm device based on the device name of the target alarm device and the abnormal information, and further outputs the to-be-processed work order to a maintenance platform corresponding to the target alarm device, and distributing the work order to be processed to building management workers or professional equipment operation and maintenance personnel provided by manufacturers of the target alarm equipment by the maintenance platform, so that the building management workers or the professional equipment operation and maintenance personnel maintain the target alarm equipment.
In this embodiment, the terminal device continuously acquires real-time operation data of one or more electrical devices equipped in a corresponding building through a device data acquisition module configured by the terminal device; after the terminal equipment acquires the real-time running data of the equipment to be inspected through the equipment data acquisition module, or when the terminal equipment acquires the real-time running data through the equipment data acquisition module, the terminal equipment further reads the corresponding real-time running data according to an equipment inspection task generated by an inspection scene module configured by the terminal equipment, and calls a system health assessment model trained in advance to assess according to the real-time running data, so that the inspection result of the equipment to be inspected to which the real-time running data belongs is determined;
after determining the inspection result of the equipment to be inspected, the terminal equipment automatically executes corresponding equipment management operation aiming at the equipment to be inspected according to the type of the inspection result, namely, when the inspection result identifies that the operation state of the equipment to be inspected is abnormal or has a fault at the current moment, equipment fault alarm is immediately carried out on the equipment to be inspected, then, further performing equipment maintenance on the equipment to be inspected so as to enable the equipment to be inspected, which is abnormal in operation condition or has a fault, to return to a normal operation state, or, and when the inspection result marks that the operation state of the equipment to be inspected at the current moment is normal, responding to the task of equipment operation data analysis to perform comprehensive equipment operation data analysis on the basis of equipment data, fault data, inspection data and worksheet processing data which are generated by the equipment to be inspected in history to form a data decision report.
Compared with the conventional mode of manually inspecting and evaluating the running state of equipment, the method and the system have the advantages that the running data of each piece of equipment in the building is automatically acquired, so that the running data is read according to a pre-configured equipment inspection task, the inspection result of the equipment is determined by using a pre-trained system health evaluation model, and finally, corresponding equipment fault alarm, equipment maintenance and/or equipment running data analysis are further executed according to the inspection result. Therefore, the method and the system realize automatic routing inspection and evaluation of the current operation situation of the equipment through the training system health degree evaluation model, and simultaneously decide to execute corresponding management measures on the equipment based on the routing inspection evaluation result, so that the resource occupation condition and inaccurate evaluation result of the traditional manual routing inspection equipment are avoided, and the routing inspection efficiency of the equipment is improved to a great extent.
In addition, the embodiment of the invention also provides an intelligent self-checking device for the equipment.
Referring to fig. 4, the intelligent self-checking device for equipment of the present invention is applied to the terminal equipment, and the intelligent self-checking device for equipment of the present invention includes:
the server is used for controlling the equipment data acquisition module to acquire real-time operation data of the equipment to be inspected; the control business rule engine module and the inspection scene module read the real-time running data according to a preset equipment inspection task, and a preset system health evaluation model is called to determine an inspection result of the equipment to be inspected according to the real-time running data; and the control fault alarm sending module, the event work order processing module and/or the data analysis and display module execute corresponding equipment management operation according to the inspection result, wherein the equipment management operation comprises at least one of equipment fault alarm, equipment maintenance and equipment operation data analysis.
Optionally, the server is further configured to extract the real-time operation data to construct a training data set; and carrying out model training according to the training data set to obtain the system health assessment model.
Optionally, the server is further configured to store the real-time running data in a preset data storage module, so as to obtain the real-time running data from the data storage module, execute the step of reading the real-time running data according to a preset device inspection task, execute the step of analyzing the device running data according to the inspection result, and extract the real-time running data to construct a training data set.
Optionally, the server is further configured to control the event work order processing module to determine a target alarm device corresponding to the device fault alarm, generate a to-be-processed work order for maintaining the target alarm device, and output the to-be-processed work order to a maintenance platform corresponding to the target alarm device, so that the maintenance platform allocates the to-be-processed work order to maintain the target alarm device.
Optionally, the server is further configured to extract task parameters included in the device inspection task generated by the inspection scene module, where the task parameters include: the equipment name, equipment inspection sequence and equipment inspection time of one or more equipment to be inspected; and reading the real-time operation data from a data storage module at the equipment inspection time according to one or more equipment names and the equipment inspection sequence.
Optionally, the server is further configured to control the inspection scene module to receive first custom configuration data of the inspection task, and generate the device inspection task according to the custom configuration data.
Optionally, the server is further configured to match a corresponding preset service rule generated by a service rule engine module according to the real-time running data, and call the system health assessment model corresponding to the preset service rule; taking the real-time operation data as the input of the system health assessment model to obtain the output of the system health assessment model after operation is carried out according to the real-time operation data; and determining the inspection result of the equipment to be inspected to which the real-time operation data belongs according to the output.
Optionally, the server is further configured to control the business rule engine module to receive second custom configuration data of the business rule, and generate the business rule according to the custom configuration data.
When executed, each functional module of the device intelligent self-checking apparatus of the present invention implements each embodiment of the device intelligent self-checking method as described above, which is not described herein again.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, which is applied to a computer, where the computer-readable storage medium may be a non-volatile computer-readable storage medium, the computer-readable storage medium stores an intelligent self-test program for a device, and when the intelligent self-test program is executed by a processor, the steps of the intelligent self-test method for a device as described above are implemented.
In addition, the embodiment of the present invention further provides a device intelligent self-checking program product, where the device intelligent self-checking program product includes an architecture program of store visitor information, and when executed by a processor, the architecture program of the store visitor information implements the steps of the above-mentioned architecture method of the store visitor information.
The steps implemented when the intelligent self-checking program of the device running on the processor is executed may refer to the embodiments of the intelligent self-checking method of the device of the present invention, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An intelligent self-checking method for equipment is characterized by comprising the following steps:
collecting real-time operation data of equipment to be inspected;
reading the real-time running data according to a preset equipment inspection task, and calling a preset system health evaluation model to determine an inspection result of the equipment to be inspected according to the real-time running data;
and executing corresponding equipment management operation according to the inspection result, wherein the equipment management operation comprises at least one of equipment fault alarm, equipment maintenance and equipment operation data analysis.
2. The intelligent self-test method for equipment according to claim 1, wherein the method further comprises:
extracting the real-time operation data to construct a training data set;
and carrying out model training according to the training data set to obtain the system health assessment model.
3. The intelligent self-checking method for equipment as claimed in claim 1 or 2, wherein the intelligent self-checking method for equipment further comprises:
the real-time operation data are stored in a preset data storage module, so that the real-time operation data are obtained from the data storage module, the step of reading the real-time operation data according to a preset equipment inspection task is executed, the step of analyzing the equipment operation data according to the inspection result is executed, and the step of extracting the real-time operation data to construct a training data set is executed.
4. The intelligent self-inspection method of equipment according to claim 1, wherein the step of performing equipment maintenance according to the inspection result comprises:
determining corresponding target alarm equipment when the equipment fault alarm is executed;
and generating a to-be-processed work order for maintaining the target alarm device, and outputting the to-be-processed work order to a maintenance platform corresponding to the target alarm device, so that the maintenance platform allocates the to-be-processed work order to maintain the target alarm device.
5. The intelligent self-inspection method of equipment according to claim 1, wherein the step of reading the real-time running data according to a preset equipment inspection task comprises:
extracting task parameters contained in the equipment inspection task, wherein the task parameters comprise: the equipment name, equipment inspection sequence and equipment inspection time of one or more equipment to be inspected;
and reading the real-time running data according to one or more equipment names and the equipment inspection sequence at the equipment inspection time.
6. The intelligent self-test method for equipment according to claim 1 or 5, wherein the method further comprises:
and receiving first custom configuration data of an inspection task, and generating the equipment inspection task according to the custom configuration data.
7. The intelligent self-inspection method of equipment according to claim 1, wherein the step of calling a preset system health assessment model to determine the inspection result of the equipment to be inspected according to the real-time operation data comprises:
matching a corresponding preset service rule according to the real-time operation data, and calling the system health assessment model corresponding to the preset service rule;
taking the real-time operation data as the input of the system health assessment model to obtain the output of the system health assessment model after operation is carried out according to the real-time operation data;
and determining the inspection result of the equipment to be inspected to which the real-time operation data belongs according to the output.
8. The intelligent self-test method for devices of claim 7, wherein the method further comprises:
and receiving second user-defined configuration data of the business rule, and generating the business rule according to the user-defined configuration data.
9. An intelligent self-checking system for equipment, comprising: a memory, a processor and a device intelligent self-test program stored on the memory and executable on the processor, the device intelligent self-test program when executed by the processor implementing the steps of the device intelligent self-test method according to any one of claims 1 to 8.
10. A computer-readable storage medium, having stored thereon a device intelligent self-test program, which when executed by a processor implements the steps of the device intelligent self-test method according to any one of claims 1 to 8.
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