CN113538370A - Power grid inspection method and device, computer equipment and storage medium - Google Patents
Power grid inspection method and device, computer equipment and storage medium Download PDFInfo
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- G06T7/001—Industrial image inspection using an image reference approach
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
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- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
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Abstract
The application relates to a power grid inspection method, a power grid inspection device, computer equipment and a storage medium. The method comprises the following steps: acquiring real-time data of inspection operation acquired by AR glasses; then, extracting feature point data of the real-time data of the routing inspection operation according to a preset data extraction algorithm; comparing the feature point data with a preset safety data range, and screening abnormal point data; and finally, eliminating the abnormal point data. The method accurately and comprehensively inspects the power grid inspection field equipment by means of the augmented reality technology, timely discovers the potential fault of the power grid inspection field equipment, eliminates the potential fault, reduces the fault rate of the operating equipment of the power grid system, and simultaneously improves the efficiency of power grid inspection operation.
Description
Technical Field
The application relates to the technical field of power grid inspection, in particular to a power grid inspection method, a power grid inspection device, computer equipment and a storage medium.
Background
Electric power is the basic industry of national economy, power equipment is the lifeline of power production and operation, and the reliable operation of substation equipment directly influences the safety of power transmission and transformation production and social stability, so it is very important to guarantee that the equipment of the power grid substation is in a healthy state. The inspection work of the power grid transformer substation is an important component of the operation management work of the transformer substation, is essential basic work for checking the operation condition of equipment, mastering the operation rule of the equipment and ensuring the safe operation of the equipment, and can improve the operation management level of the transformer substation and ensure the safe and efficient operation of the equipment of the transformer substation by improving the inspection quality of the equipment.
At present, the manual inspection and sensing equipment self-inspection modes are generally adopted for equipment in a power grid system, potential faults in power grid system operation equipment cannot be comprehensively and accurately analyzed and judged, and the fault rate of the power grid system operation equipment is high.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a power grid inspection method, a device, a computer device, and a storage medium, which can reduce the failure rate of operating devices of a power grid system.
In a first aspect, a power grid inspection method is provided, and the method includes:
acquiring a patrol operation image acquired by AR glasses;
extracting feature point data of the inspection operation image according to a preset data extraction strategy;
comparing the feature point data with a preset safety data range, and screening abnormal point data;
and eliminating the abnormal point data.
In one embodiment, extracting feature point data of the patrol inspection job image according to a preset data extraction strategy comprises the following steps: preprocessing the inspection operation image to obtain a target inspection operation image; inputting the target inspection operation image into a pre-trained data extraction model to obtain the instrument type in the target inspection operation image; and extracting according to the type of the instrument and a corresponding data extraction algorithm to obtain the feature point data of the inspection operation image.
In one embodiment, the outlier data comprises general outlier data and difficult outlier data; correspondingly, comparing the feature point data with a preset safety data range, and screening abnormal point data, comprising: if the feature point data is not in the preset safety data range and the occurrence time point of the feature point data is in the preset time period, the feature point data is general abnormal point data; and if the feature point data is not in the preset safety data range and the occurrence time point of the feature point data is not in the preset time period, the feature point data is difficult abnormal point data.
In one embodiment, the elimination processing of the outlier data comprises the following steps: if the abnormal point data is general abnormal point data, outputting a general abnormal point data processing notice and general abnormal point processing guidance information; and if the abnormal point data is difficult abnormal point data, sending an assistance processing request to the remote assistance center.
In one embodiment, after sending the assistance processing request to the remote assistance center, the method further includes: after response operation of the remote assistance center is received, difficult abnormal point data, a power grid operation database and equipment operation historical data are sent to the remote assistance center; and receiving a processing completion notification and difficult abnormal point processing guidance information of the remote assistance center, and outputting the difficult abnormal point processing guidance information.
In one embodiment, the method further comprises: and generating a patrol operation task table according to the patrol operation image, the abnormal point data, the general abnormal point processing guidance information, the difficult abnormal point processing guidance information and the operation completion time, and storing the patrol operation task table into a power grid operation database.
In one embodiment, before acquiring the inspection job image, the method further includes: receiving inspection operation task information and corresponding inspection flow information; and outputting the inspection operation information and the corresponding inspection flow information to indicate an inspection operator to perform corresponding operation according to the inspection operation flow information.
In a second aspect, a power grid inspection device is provided, the device comprising:
the acquisition module is used for acquiring the inspection operation image acquired by the AR glasses;
the extraction module is used for extracting the feature point data of the inspection operation image according to a preset data extraction strategy;
the screening module is used for comparing the feature point data with a preset safety data range and screening abnormal point data;
and the elimination module is used for eliminating the abnormal point data.
In a third aspect, a computer device is provided, comprising a memory storing a computer program and a processor implementing the following steps when executing the computer program:
acquiring a patrol operation image acquired by AR glasses;
extracting feature point data of the inspection operation image according to a preset data extraction strategy;
comparing the feature point data with a preset safety data range, and screening abnormal point data;
and eliminating the abnormal point data.
In a fourth aspect, there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring a patrol operation image acquired by AR glasses;
extracting feature point data of the inspection operation image according to a preset data extraction strategy;
comparing the feature point data with a preset safety data range, and screening abnormal point data;
and eliminating the abnormal point data.
The power grid inspection method, the power grid inspection device, the computer equipment and the storage medium acquire inspection operation real-time data acquired by the AR glasses; then, extracting feature point data of the real-time data of the routing inspection operation according to a preset data extraction strategy; comparing the feature point data with a preset safety data range, and screening abnormal point data; and finally, eliminating the abnormal point data. The method accurately and comprehensively inspects the power grid inspection field equipment by means of the augmented reality technology, timely discovers the potential fault of the power grid inspection field equipment, eliminates the potential fault, reduces the fault rate of the operating equipment of the power grid system, and simultaneously improves the efficiency of power grid inspection operation.
Drawings
FIG. 1 is an application environment diagram of a power grid inspection method in one embodiment;
FIG. 2 is a diagram of an application environment of the power grid polling method in another embodiment;
FIG. 3 is a schematic flow chart of a power grid inspection method according to an embodiment;
FIG. 4 is a block diagram of the power grid inspection device in one embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The purpose of the application is to solve the defects of the conventional inspection method of the power grid system, and provide the power grid inspection method which is based on the augmented reality technology to comprehensively and accurately inspect the operating equipment in the power grid system, find potential faults in time and ensure the safety of the operating equipment in the power grid system.
The power grid inspection method can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the AR glasses 104 over a network, and the terminal 102 communicates with the remote assistance center 106 over the network. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The AR glasses are used for collecting power grid inspection data, receiving the data sent by the terminal 102 and displaying the data on the display interface of the AR glasses. The remote assistance center 106 may be implemented as a stand-alone server or as a server cluster of multiple servers.
The power grid inspection method provided by the embodiment can also be applied to the application environment shown in fig. 2. Where the AR glasses 104 communicate with the remote assistance center 106 over a network. The real-time inspection work image is collected by the AR glasses 104, and the collected inspection work image is processed by the AR glasses.
The power grid inspection method provided by the application can be applied to inspection operation scenes of a power grid system, and can also be applied to inspection operation scenes of other water plant equipment, wind power plants and other equipment, and specific application scenes are not limited in the embodiment of the application.
In an embodiment, as shown in fig. 3, a power grid inspection method is provided, which is described by taking the example that the method is applied to the terminal in fig. 1, and includes the following steps:
The inspection operation image is an image shot and collected by the AR glasses at the inspection place, and can also be a frame of image in a video shot and collected by the AR glasses at the inspection place. The patrol operation image contains the position information and the time information of the patrol equipment.
Specifically, the terminal obtains the patrol inspection operation image collected by the AR glasses. Firstly, an inspection operator wears AR glasses to enter an inspection place, inspection equipment is inspected according to an inspection operation flow, the AR glasses worn by the inspection operator acquire an inspection operation image and transmit the inspection operation image to a terminal in real time, and the terminal acquires the inspection operation image.
And 304, extracting the feature point data of the inspection work image according to a preset data extraction strategy.
The feature point data comprises operation parameters of inspection equipment in the power grid system, such as temperature, humidity and the like, and operation parameters of power lines (such as voltage, current, resistance and the like).
Specifically, the terminal extracts the operation parameters of the inspection equipment in the power grid system and the operation parameters of the power line, which are contained in the inspection work image, according to a preset data extraction strategy.
The preset safety data range comprises the operation parameters of the inspection equipment in the power grid system and the safety range of data corresponding to the operation parameters of the power line.
Specifically, the terminal compares the extracted feature point data with a safety range of data corresponding to an operation parameter of inspection equipment in the corresponding power grid system or an operation parameter of the power line, and if the feature point data is not in the safety range of the corresponding data, the feature point data is abnormal point data. If the feature point data is in the safety range of the corresponding data, the data is normal data, and the elimination processing is not needed.
And step 308, eliminating the abnormal point data.
Specifically, the abnormal point data comprises different types, the terminal firstly determines the type of the abnormal point data, then obtains the processing guidance information of the corresponding abnormal point data according to the type of the abnormal point data, and sends the processing guidance information of the abnormal point data to an AR (augmented reality) glasses display interface, so that a patrol worker can eliminate and maintain the abnormal point according to the processing guidance information of the abnormal point data.
In the power grid inspection method, inspection operation real-time data collected by AR glasses are obtained; then, extracting feature point data of the real-time data of the routing inspection operation according to a preset data extraction algorithm; comparing the feature point data with a preset safety data range, and screening abnormal point data; and finally, eliminating the abnormal point data. The method accurately and comprehensively inspects the power grid inspection field equipment by means of the augmented reality technology, timely discovers the potential fault of the power grid inspection field equipment, eliminates the potential fault, reduces the fault rate of the operating equipment of the power grid system, and simultaneously improves the efficiency of power grid inspection operation.
In an optional embodiment, extracting feature point data of the inspection job image according to a preset data extraction algorithm comprises: preprocessing the inspection operation image to obtain a target inspection operation image; inputting the target inspection operation image into a pre-trained data extraction model to obtain the instrument type in the target inspection operation image; and extracting according to the type of the instrument and a corresponding data extraction algorithm to obtain the feature point data of the inspection operation image.
The pre-trained data extraction model is obtained by continuously training the initial data extraction model by taking images of different types of inspection equipment and corresponding instrument type labels as training samples according to the initial data extraction model. The initial data extraction model may be a neural network model or other machine learning models, and the embodiment of the present application is not limited herein as long as a model capable of accurately identifying the type of the instrument in the image can be obtained. The data extraction algorithm may identify a value displayed by an instrument in the image, and may be an ORC (Optical Character Recognition) Recognition algorithm or a preset image Recognition algorithm.
Specifically, the terminal firstly preprocesses the inspection work image, deletes the image which does not accord with the preset image rule in the inspection work image, and takes the inspection work image left after deletion as the target inspection work image. Images that do not comply with the preset image rules refer to repeated images without complete instruments in the images. And the terminal inputs the target inspection operation image into a pre-trained data extraction model and determines the instrument type corresponding to the inspection equipment. And when the type of the instrument is a numerical instrument, extracting a numerical value displayed by the instrument in the inspection operation image according to an ORC (organic Rankine cycle) recognition algorithm, wherein the numerical value displayed by the instrument is the characteristic point data, and outputting position information and time information of the characteristic point data. And when the type of the instrument is a pointer type instrument, extracting a numerical value pointed by the instrument pointer in the inspection operation image according to an image extraction algorithm, wherein the numerical value pointed by the instrument pointer is the feature point data, and outputting position information and time information of the feature point data.
In an optional embodiment, comparing the feature point data with a preset safety data range, and screening out abnormal point data, includes: if the feature point data is not in the preset safety data range and the occurrence time point of the feature point data is in the preset time period, the feature point data is general abnormal point data; and if the feature point data is not in the preset safety data range and the occurrence time point of the feature point data is not in the preset time period, the feature point data is difficult abnormal point data.
The exception point data includes general exception point data and difficult exception point data. The general abnormal point data refers to data which can be eliminated by a power grid system or data which can be eliminated by a patrol operator according to the general abnormal point processing guide information. Difficult exception point data is data that requires remote assistance in identifying problem points and providing difficult exception point processing guidance information.
The preset time period may be a set fixed time period, and may be, for example, a time period of a residential electricity peak or other special electricity peak.
Specifically, the terminal judges the feature point data according to the position information of the feature point data and the corresponding safety data range, and if the feature point data is not in the safety data range of the position and the time is in a preset time period, the feature point data is judged to be general abnormal point data. And if the feature point data is not in the safety data range of the position and the time is not in the preset time period, judging the feature point data to be difficult abnormal point data.
In an optional embodiment, the eliminating processing of the outlier data includes: if the abnormal point data is general abnormal point data, outputting a general abnormal point data processing notice and general abnormal point processing guidance information; and if the abnormal point data is difficult abnormal point data, sending an assistance processing request to the remote assistance center.
Specifically, if the terminal detects that the feature point data is general abnormal point data, general abnormal point processing guidance information corresponding to the general abnormal point data is searched from the power grid operation database, a general abnormal point processing notification and the general abnormal point processing guidance information are sent to the AR glasses display interface, and the inspection operator is enabled to eliminate the general abnormal point according to the general abnormal point processing guidance information. And if the terminal detects that the feature point data is difficult abnormal point data, the terminal sends an assistance processing request to the remote assistance center.
In the embodiment of the application, the terminal determines and outputs the processing guidance information of the general abnormal point data, so that the inspection worker can perform elimination processing according to the processing guidance information of the general abnormal point data. The difficult abnormal point data is notified to the remote assistance center by the terminal for processing, so that the pressure and memory consumption of the terminal equipment are reduced, and the processing efficiency of different types of abnormal point data is improved.
In an optional embodiment, after sending the assistance processing request to the remote assistance center, the method further includes: after response operation of the remote assistance center is received, difficult abnormal point data, a power grid operation database and equipment operation historical data are sent to the remote assistance center; and receiving a processing completion notification and difficult abnormal point processing guidance information of the remote assistance center, and outputting the difficult abnormal point processing guidance information.
Specifically, after the remote assistance center receives the assistance processing request sent by the terminal, the power grid expert responds on an operation interface of the remote assistance center. And after receiving the response operation of the remote assistance center, the terminal sends the difficult abnormal point data, the power grid operation database and the equipment operation historical data to the remote assistance center. In the embodiment of the application, when the terminal sends the assistance processing request, the difficult abnormal point data, the power grid operation database and the equipment operation historical data can be sent to the remote assistance center together. After the response operation of the remote assistance center, the problem point is directly searched according to the difficult abnormal point data, the power grid operation database and the equipment operation historical data.
The remote assistance center displays the data of the difficult abnormal points and the historical data of the equipment operation on an operation interface, inputs the data of the difficult abnormal points and the historical data of the equipment operation into the comprehensive analysis model, finds out problem points, searches corresponding processing guidance information of the difficult abnormal points in a power grid operation database according to the problem points, and sends a processing completion notice and the processing guidance information of the difficult abnormal points to the terminal. And when the terminal receives the processing completion notification of the remote assistance center and the processing guidance information of the difficult abnormal point, the processing guidance information of the difficult abnormal point is sent to the AR glasses display interface so as to instruct the routing inspection operator to eliminate and maintain the difficult abnormal point according to the processing guidance information of the difficult abnormal point.
The comprehensive analysis model is obtained by training according to an initial neural network model, historical abnormal point data and equipment operation historical data, and can comprehensively analyze and judge the fault condition of the difficult abnormal point to find a problem point.
In the embodiment of the application, the problem point is determined through the comprehensive analysis model of the remote assistance center, the efficiency of determining the fault information is improved, and the fault processing efficiency is further improved.
In an optional embodiment, the method further comprises: and generating a patrol operation task table according to the patrol operation image, the abnormal point data, the general abnormal point processing guidance information, the difficult abnormal point processing guidance information and the operation completion time, and storing the patrol operation task table into a power grid operation database.
Specifically, when the patrol inspection operator eliminates the abnormal point according to the general abnormal point processing guidance information and the difficult abnormal point processing guidance information, the operation is completed by clicking a task on the display interface of the AR glasses. And when the middle section receives the task completion operation of the inspection operator, generating the operation completion time. And the terminal fills the inspection operation image, the abnormal point data, the general abnormal point processing guidance information, the difficult abnormal point processing guidance information and the operation completion time into an inspection operation task table and stores the inspection operation task table into a power grid operation database.
In an optional embodiment, before acquiring the inspection job image, the method further includes: receiving inspection operation task information and corresponding inspection flow information; and outputting the inspection operation information and the corresponding inspection flow information to indicate an inspection operator to perform corresponding operation according to the inspection operation flow information.
The inspection task information comprises a task name, task completion time, a task executor and a task standby scheme, and the inspection flow information comprises an inspection place, inspection equipment and an inspection operation flow of power grid inspection.
Specifically, the terminal receives power grid inspection task information and corresponding inspection flow information which are created on a terminal display interface by a manager. And the terminal sends the inspection task information and the corresponding inspection process information to the auditing center. When the audit center audits the inspection task information and the corresponding inspection operation flow information, the inspection task information is complete, the terminal matches inspection operators meeting the inspection flow information of the inspection operation in the inspection operator information database, the corresponding inspection operators are displayed on a terminal display interface, and the manager selects one inspection operator from the list of the meeting inspection operators as the inspection operator. The inspection worker wears AR glasses to enter an inspection place and acquires an inspection operation image.
It should be understood that, although the steps in the flowchart of fig. 3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 3 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
In one embodiment, as shown in fig. 4, there is provided a power grid inspection device including: an acquisition module 402, an extraction module 404, a screening module 406, and a cancellation module 408, wherein:
an obtaining module 402, configured to obtain an inspection work image collected by the AR glasses.
The extracting module 404 is configured to extract feature point data of the inspection work image according to a preset data extraction policy.
The screening module 406 is configured to compare the feature point data with a preset safety data range, and screen out abnormal point data.
And the eliminating module 408 is used for eliminating the abnormal point data.
In one embodiment, the extraction module 404 is further configured to preprocess the inspection job image to obtain a target inspection job image; inputting the target inspection operation image into a pre-trained data extraction model to obtain the instrument type in the target inspection operation image; and extracting according to the type of the instrument and a corresponding data extraction algorithm to obtain the feature point data of the inspection operation image.
In one embodiment, the outlier data includes general outlier data and difficult outlier data; the screening module 406 is further configured to determine that the feature point data is general abnormal point data if the feature point data is not within the preset safety data range and the occurrence time point of the feature point data is within a preset time period; and if the feature point data is not in the preset safety data range and the occurrence time point of the feature point data is not in the preset time period, the feature point data is difficult abnormal point data.
In one embodiment, the elimination module 408 is further configured to output a general exception point data processing notification and general exception point processing guidance information if the exception point data is general exception point data; and if the abnormal point data is difficult abnormal point data, sending an assistance processing request to the remote assistance center.
In one embodiment, the elimination module 408 is further configured to send the difficult exception point data, the power grid operation database, and the device operation history data to the remote assistance center after receiving the response operation of the remote assistance center; and receiving a processing completion notification and difficult abnormal point processing guidance information of the remote assistance center, and outputting the difficult abnormal point processing guidance information.
In one embodiment, the power grid inspection device further comprises a storage module, which is used for generating an inspection task table according to the inspection work image, the abnormal point data, the general abnormal point processing guidance information, the difficult abnormal point processing guidance information and the work completion time, and storing the inspection task table into the power grid operation database.
In one embodiment, the obtaining module 402 is further configured to receive inspection job task information and corresponding inspection flow information; and outputting the inspection operation information and the corresponding inspection flow information to indicate an inspection operator to perform corresponding operation according to the inspection operation flow information.
For specific limitations of the power grid inspection device, reference may be made to the above limitations of the power grid inspection method, which are not described herein again. All modules in the power grid inspection device can be completely or partially realized through software, hardware and a combination of the software and the hardware. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 5. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a grid patrol method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring a patrol operation image acquired by AR glasses;
extracting feature point data of the inspection operation image according to a preset data extraction strategy;
comparing the feature point data with a preset safety data range, and screening abnormal point data;
and eliminating the abnormal point data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: extracting feature point data of the patrol inspection operation image according to a preset data extraction strategy, wherein the feature point data comprises the following steps: preprocessing the inspection operation image to obtain a target inspection operation image; inputting the target inspection operation image into a pre-trained data extraction model to obtain the instrument type in the target inspection operation image; and extracting according to the type of the instrument and a corresponding data extraction algorithm to obtain the feature point data of the inspection operation image.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the abnormal point data comprises general abnormal point data and difficult abnormal point data; correspondingly, comparing the feature point data with a preset safety data range, and screening abnormal point data, comprising: if the feature point data is not in the preset safety data range and the occurrence time point of the feature point data is in the preset time period, the feature point data is general abnormal point data; and if the feature point data is not in the preset safety data range and the occurrence time point of the feature point data is not in the preset time period, the feature point data is difficult abnormal point data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: eliminating abnormal point data, comprising: if the abnormal point data is general abnormal point data, outputting a general abnormal point data processing notice and general abnormal point processing guidance information; and if the abnormal point data is difficult abnormal point data, sending an assistance processing request to the remote assistance center.
In one embodiment, the processor, when executing the computer program, further performs the steps of: after sending the assistance processing request to the remote assistance center, the method further comprises the following steps: after response operation of the remote assistance center is received, difficult abnormal point data, a power grid operation database and equipment operation historical data are sent to the remote assistance center; and receiving a processing completion notification and difficult abnormal point processing guidance information of the remote assistance center, and outputting the difficult abnormal point processing guidance information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the method further comprises the following steps: and generating a patrol operation task table according to the patrol operation image, the abnormal point data, the general abnormal point processing guidance information, the difficult abnormal point processing guidance information and the operation completion time, and storing the patrol operation task table into a power grid operation database.
In one embodiment, the processor, when executing the computer program, further performs the steps of: before the operation image of patrolling and examining is acquireed, still include: receiving inspection operation task information and corresponding inspection flow information; and outputting the inspection operation information and the corresponding inspection flow information to indicate an inspection operator to perform corresponding operation according to the inspection operation flow information.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a patrol operation image acquired by AR glasses;
extracting feature point data of the inspection operation image according to a preset data extraction strategy;
comparing the feature point data with a preset safety data range, and screening abnormal point data;
and eliminating the abnormal point data.
In one embodiment, the computer program when executed by the processor further performs the steps of: extracting feature point data of the patrol inspection operation image according to a preset data extraction strategy, wherein the feature point data comprises the following steps: preprocessing the inspection operation image to obtain a target inspection operation image; inputting the target inspection operation image into a pre-trained data extraction model to obtain the instrument type in the target inspection operation image; and extracting according to the type of the instrument and a corresponding data extraction algorithm to obtain the feature point data of the inspection operation image.
In one embodiment, the computer program when executed by the processor further performs the steps of: the abnormal point data comprises general abnormal point data and difficult abnormal point data; correspondingly, comparing the feature point data with a preset safety data range, and screening abnormal point data, comprising: if the feature point data is not in the preset safety data range and the occurrence time point of the feature point data is in the preset time period, the feature point data is general abnormal point data; and if the feature point data is not in the preset safety data range and the occurrence time point of the feature point data is not in the preset time period, the feature point data is difficult abnormal point data.
In one embodiment, the computer program when executed by the processor further performs the steps of: eliminating abnormal point data, comprising: if the abnormal point data is general abnormal point data, outputting a general abnormal point data processing notice and general abnormal point processing guidance information; and if the abnormal point data is difficult abnormal point data, sending an assistance processing request to the remote assistance center.
In one embodiment, the computer program when executed by the processor further performs the steps of: after sending the assistance processing request to the remote assistance center, the method further comprises the following steps: after response operation of the remote assistance center is received, difficult abnormal point data, a power grid operation database and equipment operation historical data are sent to the remote assistance center; and receiving a processing completion notification and difficult abnormal point processing guidance information of the remote assistance center, and outputting the difficult abnormal point processing guidance information.
In one embodiment, the computer program when executed by the processor further performs the steps of: the method further comprises the following steps: and generating a patrol operation task table according to the patrol operation image, the abnormal point data, the general abnormal point processing guidance information, the difficult abnormal point processing guidance information and the operation completion time, and storing the patrol operation task table into a power grid operation database.
In one embodiment, the computer program when executed by the processor further performs the steps of: before the operation image of patrolling and examining is acquireed, still include: receiving inspection operation task information and corresponding inspection flow information; and outputting the inspection operation information and the corresponding inspection flow information to indicate an inspection operator to perform corresponding operation according to the inspection operation flow information.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A power grid inspection method is characterized by comprising the following steps:
acquiring a patrol operation image acquired by AR glasses;
extracting feature point data of the inspection operation image according to a preset data extraction strategy;
comparing the feature point data with a preset safety data range, and screening abnormal point data;
and eliminating the abnormal point data.
2. The method according to claim 1, wherein the extracting the feature point data of the inspection job image according to a preset data extraction strategy comprises:
preprocessing the inspection operation image to obtain a target inspection operation image;
inputting the target inspection operation image into the pre-trained data extraction model to obtain the instrument type in the target inspection operation image;
and extracting according to the type of the instrument and a corresponding data extraction algorithm to obtain the feature point data of the inspection operation image.
3. The method of claim 1, wherein the outlier data comprises general outlier data and difficult outlier data;
comparing the feature point data with the preset safety data range to screen out abnormal point data, wherein the abnormal point data comprises the following steps:
if the feature point data is not in the preset safety data range and the occurrence time point of the feature point data is in a preset time period, the feature point data is general abnormal point data;
and if the feature point data is not in the preset safety data range and the occurrence time point of the feature point data is not in the preset time period, the feature point data is difficult abnormal point data.
4. The method of claim 3, wherein said eliminating outlier data comprises:
if the abnormal point data is general abnormal point data, outputting a general abnormal point data processing notice and general abnormal point processing guidance information;
and if the abnormal point data is difficult abnormal point data, sending an assistance processing request to a remote assistance center.
5. The method of claim 4, wherein after sending the request for assistance processing to the remote assistance center, further comprising:
after response operation of the remote assistance center is received, the difficult abnormal point data, the power grid operation database and the equipment operation historical data are sent to the remote assistance center;
and receiving a processing completion notification and difficult abnormal point processing guidance information of the remote assistance center, and outputting the difficult abnormal point processing guidance information.
6. The method of claim 5, further comprising:
and generating an inspection operation task table according to the inspection operation image, the abnormal point data, the general abnormal point processing guidance information, the difficult abnormal point processing guidance information and the operation completion time, and storing the inspection operation task table to the power grid operation database.
7. The method of claim 1, wherein prior to obtaining the inspection job image, further comprising:
receiving inspection operation task information and corresponding inspection flow information;
and outputting the inspection operation information and the corresponding inspection flow information to indicate inspection operators to perform corresponding operation according to the inspection operation flow information.
8. The utility model provides a power grid inspection device which characterized in that, the device includes:
the acquisition module is used for acquiring the inspection operation image acquired by the AR glasses;
the extraction module is used for extracting the feature point data of the inspection operation image according to a preset data extraction strategy;
the screening module is used for comparing the characteristic point data with a preset safety data range and screening abnormal point data;
and the elimination module is used for eliminating the abnormal point data.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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