Automated power distribution facility path planning methods, devices, electronic equipment and media

Abstract

This application relates to the field of inspection technology, and in particular to an automated power distribution facility path planning method, device, electronic equipment, and medium. The method includes acquiring the operating parameters and connection relationships of each power distribution facility within a designated area, and constructing a corresponding parameter relationship network based on these parameters; acquiring a regional image corresponding to the designated area, and determining an AR (Automatic Relationship) path diagram for the designated area based on the regional image and the parameter relationship network; when abnormal parameters are detected in the parameter relationship network, determining the influencing parameters of the abnormal parameters and the influence type corresponding to each influencing parameter based on the parameter relationship network; determining an influence tracing path based on the influencing parameters of the abnormal parameters and the influence type corresponding to each influencing parameter; determining an AR inspection path from the AR relationship path diagram based on the influence tracing path, and feeding the AR inspection path back to the inspection equipment of the inspection personnel. This application can improve the efficiency of the inspection process.

Description

Technical Field

[0001] This application relates to the field of inspection technology, and in particular to a method, device, electronic equipment and medium for path planning of automated power distribution facilities. Background Technology

[0002] The importance of power distribution facilities lies in realizing the distribution and control of electricity within the area of ​​responsibility, ensuring the electrical safety of electrical equipment within the area of ​​responsibility, and conducting regular safety inspections and maintenance of power distribution facilities to detect and resolve potential faults in power distribution facilities in a timely manner, thereby ensuring the normal operation of electrical equipment. Regular maintenance and upkeep of power distribution facilities can also extend their service life.

[0003] In related technologies, inspection tasks are generally formulated manually, and the corresponding inspection paths are also left to the inspectors to decide. Due to the lack of inspection standards, important inspection items are easily missing or some equipment is not inspected properly during manual inspection. When inspection items are found to be missing or missed, the relevant inspectors need to conduct a second inspection, which may lead to low inspection efficiency. Summary of the Invention

[0004] To improve the efficiency of inspection work, this application provides an automated power distribution facility path planning method, device, electronic equipment, and medium.

[0005] Firstly, this application provides a method for automated power distribution facility path planning, employing the following technical solution: An automated power distribution facility path planning method, comprising: Obtain the operating parameters and connection relationships of each power distribution facility within the responsible area, and construct a parameter relationship network corresponding to the responsible area based on the operating parameters and connection relationships of each power distribution facility; Obtain the region image corresponding to the responsible region, and determine the AR relationship path graph corresponding to the responsible region based on the region image and the parameter relationship network; When abnormal parameters are detected in the parameter relationship network, the influencing parameters of the abnormal parameters and the influence type corresponding to each influencing parameter are determined according to the parameter relationship network. The influence type includes active influence and passive influence. Based on the impact parameters of the aforementioned abnormal parameters and the impact type corresponding to each impact parameter, the impact tracing path is determined; Based on the impact tracing path, the AR inspection path is determined from the AR relationship path diagram, and the AR inspection path is fed back to the inspection equipment of the inspection personnel.

[0006] By adopting the above technical solution, establishing a parameter relationship network facilitates the tracing of abnormal parameters, rather than simply inspecting and adjusting a power distribution facility when abnormal parameters occur. This tracing addresses the root cause of anomalies, reducing the probability of anomalies within the responsible area. Furthermore, by establishing an AR (Automatic Reference Path) relationship path diagram and identifying the AR inspection paths corresponding to the tracing paths, relevant inspection personnel can conduct inspections according to these paths. This reduces the probability of missing or overlooking key facilities during inspections, and improves the standardization of inspection work, thereby increasing efficiency.

[0007] In one possible implementation, after feeding back the AR inspection path to the inspection personnel's inspection equipment, the method further includes: The inspection personnel's perspective image is acquired in real time. When a first preset power distribution facility identifier appears in the perspective image, the inspection personnel's identity identifier is acquired. Determine whether the inspection personnel have the necessary maintenance authority based on their identification badges. If not, an AR request video is generated based on the viewpoint image, and the AR request video is fed back to the terminal device corresponding to the experienced personnel; Upon receiving the AR operation video returned by the terminal device corresponding to the experienced personnel, the AR operation video is combined with the viewpoint image corresponding to the current moment to obtain an AR guidance video, and the AR guidance video is fed back to the inspection equipment of the inspection personnel.

[0008] By adopting the above technical solutions, different maintenance permissions are set for power distribution facilities of different levels, which reduces the probability of operational errors by relevant inspection personnel during inspections. Secondly, by seeking help from experienced personnel, the accuracy of maintenance of higher-level power distribution facilities can be improved. In addition, the maintenance guidance provided by experienced personnel is not in the form of text, but through AR guidance videos for real-world guidance. When performing maintenance according to AR guidance videos, the probability of operational errors by inspection personnel with less maintenance experience is reduced, thereby improving the operational accuracy of the maintenance process.

[0009] In one possible implementation, after feeding back the AR inspection path to the inspection personnel's inspection equipment, the method further includes: The system acquires real-time images from the perspective of the inspection personnel. When a second preset power distribution facility identifier appears in the image and an inspection request is received, the system acquires historical operation guidance information corresponding to the second preset power distribution facility identifier. The historical operation guidance information is fed back to the inspection equipment of the inspection personnel.

[0010] By adopting the above technical solution, historical operation guidance information is fed back to the relevant inspection personnel to help them inspect the power distribution facilities appearing in the view image according to the historical operation guidance information. By guiding the inspection process of the relevant inspection personnel, the probability of the relevant inspection personnel making erroneous operations is reduced.

[0011] In one possible implementation, after feeding back the AR inspection path to the inspection personnel's inspection equipment, the method further includes: The system acquires real-time images from the perspective of the inspection personnel and identifies image markers appearing in the images. Based on the image identifier, the inspection personnel are located from the area image, and the behavioral images of the inspection personnel are identified; Obtain the inspection specification information corresponding to the image identifier, the inspection specification information including inspection steps and inspection operation behavior corresponding to each inspection step; Based on the inspection standard information and the behavior image, it is determined whether the inspection personnel have any abnormal behavior. If so, the corresponding inspection standard information is fed back to the inspection personnel's inspection equipment.

[0012] By adopting the above technical solution, the standard inspection specifications are compared with the actual operation information of the inspection personnel in real time to supervise the operation behavior of the inspection personnel. When the operation behavior does not conform to the specifications, the corresponding inspection operation specifications are promptly fed back to the inspection equipment of the inspection personnel, thereby improving the standardization of the inspection personnel in the inspection process and thus improving the accuracy of the inspection results.

[0013] In one possible implementation, the method further includes: When the difference between the abnormal parameter and the corresponding standard parameter is lower than the preset parameter difference, the abnormal parameter is identified as a potential abnormal parameter. From the parameter relationship network, identify at least one power distribution facility corresponding to the potential abnormal parameter; The first parameter change information and environmental characteristics of each power distribution facility within a first preset time period are obtained. The first parameter change information is used to characterize the rate of change of potential abnormal parameters affecting the power distribution facility within the first preset time period. The environmental characteristics include temperature, humidity and pollutant concentration. Based on the environmental characteristics of each power distribution facility within a preset time period, a corresponding simulated operating environment is constructed. Based on the simulated operating environment corresponding to each power distribution facility, the change information of the second parameter of each power distribution facility within a second preset time period is predicted. The change information of the second parameter is used to characterize the rate of change of the potential abnormal parameters affecting the power distribution facility within the second preset time period. The first parameter change information and the second parameter change information of each power distribution facility are compared to determine whether there is an abnormal power distribution facility. If so, an alarm message is generated to remind relevant maintenance personnel to carry out maintenance. The abnormal power distribution facility is the power distribution facility whose change rate in the second parameter change information is higher than the change rate in the first parameter change information.

[0014] By adopting the above technical solutions, the working status of power distribution facilities in the future can be simulated to predict whether there is a risk of failure. Faults can be resolved in time before they occur, rather than waiting until the power distribution facilities actually fail before maintenance. Predictive simulation can reduce the number of failures of power distribution facilities, thereby helping to extend their service life.

[0015] In one possible implementation, after generating the warning message, the method further includes: Once the maintenance of the affected power distribution facilities is completed, the maintenance parameter information corresponding to the affected power distribution facilities and the simulated operating environment of the potential abnormal power distribution facilities corresponding to the potential abnormal parameters are obtained. The maintenance parameter information is imported into the simulated operation environment of the potentially abnormal power distribution facility to determine whether the potential abnormal parameters have changed. Adjust the anomaly judgment criteria corresponding to the potential abnormal parameters that have not changed.

[0016] By adopting the above technical solutions, the maintenance of power distribution facilities may cause the potential abnormal parameters of the potential abnormal power distribution facilities to return to normal. At this time, it indicates that the risk of the potential abnormal power distribution facilities malfunctioning is low, or it may not affect the potential abnormal parameters. At this time, it indicates that the risk of the potential abnormal power distribution facilities malfunctioning is high. When the risk of a certain potential abnormal parameter malfunctioning is high, the abnormal judgment criteria of the parameter can be adjusted to increase the probability that the parameter will be discovered by relevant inspection personnel, thereby reducing the probability of the corresponding potential abnormal power distribution facilities malfunctioning.

[0017] In one possible implementation, the method further includes: The inspection personnel's perspective image is acquired in real time, and AR parameter information appearing in the perspective image is identified. The AR parameter information includes the power distribution facility number and the parameters corresponding to each power distribution facility. The AR parameter information is recorded to generate an inspection record list.

[0018] By adopting the above technical solution, AR parameter information can be recognized through perspective image recognition, and an inspection list can be generated based on the AR parameter information, without the need for manual recording. This reduces the workload of relevant inspection personnel and lowers the error rate in the parameter recording process.

[0019] Secondly, this application provides an automated power distribution facility path planning device, which adopts the following technical solution: An automated power distribution facility route planning device, comprising: The parameter relationship network module is used to obtain the working parameters and connection relationships of each power distribution facility within the responsible area, and to construct the parameter relationship network corresponding to the responsible area based on the working parameters and connection relationships of each power distribution facility. The AR relationship path graph determination module is used to obtain the region image corresponding to the responsible region, and determine the AR relationship path graph corresponding to the responsible region based on the region image and the parameter relationship network. The impact information determination module is used to determine the impact parameters of the abnormal parameters and the impact type corresponding to each impact parameter based on the parameter relationship network when an abnormal parameter is detected in the parameter relationship network. The impact type includes active impact and passive impact. The impact tracing path determination module is used to determine the impact tracing path based on the impact parameters of the anomaly parameters and the impact type corresponding to each impact parameter; The AR inspection path determination module is used to determine the AR inspection path from the AR relationship path diagram based on the impact tracing path, and to feed back the AR inspection path to the inspection equipment of the inspection personnel.

[0020] By adopting the above technical solution, establishing a parameter relationship network facilitates the tracing of abnormal parameters, rather than simply inspecting and adjusting a power distribution facility when abnormal parameters occur. This tracing addresses the root cause of anomalies, reducing the probability of anomalies within the responsible area. Furthermore, by establishing an AR (Automatic Reference Path) relationship path diagram and identifying the AR inspection paths corresponding to the tracing paths, relevant inspection personnel can conduct inspections according to these paths. This reduces the probability of missing or overlooking key facilities during inspections, and improves the standardization of inspection work, thereby increasing efficiency.

[0021] In one possible implementation, the device further includes: The first identification module is used to acquire the inspection personnel's perspective image in real time, and when the first preset power distribution facility identification appears in the perspective image, the identification of the inspection personnel is acquired. The permission determination module is used to determine whether the inspection personnel have the required maintenance permissions based on their identity identifier. An AR request video generation module is used to generate an AR request video based on the viewpoint image if no, and to feed the AR request video back to the terminal device corresponding to the experienced personnel. An AR guidance video generation module is used to combine the AR operation video returned by the terminal device corresponding to the experienced personnel with the current viewpoint image to obtain an AR guidance video after receiving the AR operation video. The AR guidance video is then fed back to the inspection equipment of the inspection personnel.

[0022] In one possible implementation, the device further includes: The second identification module is used to acquire the perspective image of the inspection personnel in real time. When the second preset power distribution facility identification appears in the perspective image and an inspection request is received, the module acquires the historical operation guidance information corresponding to the second preset power distribution facility identification. The historical information feedback module is used to feed back the historical operation guidance information to the inspection equipment of the inspection personnel.

[0023] In one possible implementation, the device further includes: The image identification module is used to acquire the inspection personnel's perspective image in real time and identify the image identification appearing in the perspective image; A behavior image recognition module is used to locate the inspection personnel from the area image based on the image identifier, and to recognize the behavior image of the inspection personnel; The module for obtaining standard information is used to obtain the inspection standard information corresponding to the image identifier. The inspection standard information includes inspection steps and inspection operation behavior corresponding to each inspection step. The abnormal behavior judgment module is used to determine whether the inspection personnel have abnormal behavior based on the inspection standard information and the behavior image. If so, the corresponding inspection standard information is fed back to the inspection equipment of the inspection personnel.

[0024] In one possible implementation, the device further includes: The module for determining potential abnormal parameters is used to determine the abnormal parameter as a potential abnormal parameter when the parameter difference between the abnormal parameter and the corresponding standard parameter is lower than a preset parameter difference. The module for identifying power distribution facilities affected is used to determine, from the parameter relationship network, at least one power distribution facility affected by the potential abnormal parameter; The first information acquisition module is used to acquire information on the change of the first parameter and environmental characteristics of each power distribution facility within a first preset time period. The information on the change of the first parameter is used to characterize the rate of change of potential abnormal parameters affecting the power distribution facility within the first preset time period. The environmental characteristics include temperature, humidity and pollutant concentration. The second information acquisition module is used to construct a corresponding simulated operating environment based on the environmental characteristics of each power distribution facility within a preset time period, and to predict the second parameter change information of each power distribution facility within a second preset time period based on the simulated operating environment corresponding to each power distribution facility. The second parameter change information is used to characterize the rate of change of potential abnormal parameters affecting the power distribution facility within the second preset time period. The information comparison module is used to compare the first parameter change information and the second parameter change information of each power distribution facility to determine whether there is an abnormal power distribution facility. If so, a warning message is generated to remind relevant maintenance personnel to carry out maintenance. The abnormal power distribution facility is the power distribution facility whose change rate in the second parameter change information is higher than the change rate in the first parameter change information.

[0025] In one possible implementation, the device further includes: The module for obtaining the simulated operating environment is used to obtain the maintenance parameter information corresponding to the affected power distribution facilities and the simulated operating environment of the potential abnormal power distribution facilities corresponding to the potential abnormal parameters after the maintenance of the affected power distribution facilities is completed. The parameter change judgment module is used to import the maintenance parameter information into the simulated operation environment of the potentially abnormal power distribution facility and judge whether the potential abnormal parameters have changed. The standard adjustment module is used to adjust the anomaly judgment criteria corresponding to potential anomaly parameters that have not changed.

[0026] In one possible implementation, the device further includes: The AR parameter identification module is used to acquire the inspection personnel's viewpoint image in real time and identify the AR parameter information appearing in the viewpoint image. The AR parameter information includes the power distribution facility number and the parameters corresponding to each power distribution facility. The module for generating inspection record list is used to record the AR parameter information and generate an inspection record list.

[0027] Thirdly, this application provides an electronic device that adopts the following technical solution: An electronic device comprising: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: execute the above-described automated power distribution facility path planning method.

[0028] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium includes a computer program that can be loaded by a processor and execute the above-described automated power distribution facility path planning method.

[0029] In summary, this application includes at least one of the following beneficial technical effects: 1. By establishing a parameter relationship network, it is easier to trace the source of abnormal parameters, rather than simply inspecting and adjusting the power distribution facility when abnormal parameters occur. By tracing the source of abnormalities, the problem can be solved at its root, thereby reducing the probability of abnormalities occurring in the responsible area. By establishing an AR relationship path diagram and identifying the AR inspection path corresponding to the tracing path, relevant inspection personnel can conduct inspections according to the AR inspection path. This reduces the probability of key inspection facilities being missed or overlooked during the inspection process. By improving the standardization of inspection work, the efficiency of the inspection process is improved.

[0030] 2. By simulating the working status of power distribution facilities over a future period, it is possible to predict whether there is a risk of failure in the power distribution facilities and to resolve the failure in a timely manner before it occurs, rather than waiting until the power distribution facilities actually fail before maintenance is carried out. Predictive simulation can reduce the number of failures in the power distribution facilities, thereby helping to extend their service life. Attached Figure Description

[0031] Figure 1 This is a flowchart illustrating an automated power distribution facility path planning method according to an embodiment of this application; Figure 2 This is a schematic diagram of a tracing path in an embodiment of this application; Figure 3 This is a schematic flowchart of an abnormal behavior judgment method in an embodiment of this application; Figure 4 This is a schematic flowchart of a method for judging abnormal power distribution facilities in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of an automated power distribution facility path planning device according to an embodiment of this application; Figure 6 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0032] The following is in conjunction with the appendix Figures 1-6 This application will be described in further detail.

[0033] After reading this specification, those skilled in the art may make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0034] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0035] Specifically, this application provides an automated power distribution facility path planning method, executed by an electronic device. This electronic device can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, and this application does not impose any limitations on this connection.

[0036] refer to Figure 1 , Figure 1 This is a flowchart illustrating an automated power distribution facility path planning method according to an embodiment of this application. The method includes steps S110-S150, wherein: Step S110: Obtain the operating parameters and connection relationships of each power distribution facility within the responsible area, and construct the parameter relationship network corresponding to the responsible area based on the operating parameters and connection relationships of each power distribution facility.

[0037] Specifically, the area of ​​responsibility refers to the power distribution rooms that require inspection. These power distribution rooms can be located in industrial areas, commercial areas, residential areas, or schools. The specific area of ​​responsibility is not specifically limited in this embodiment; any area where power distribution rooms require inspection can be designated as the area of ​​responsibility. The area of ​​responsibility may contain multiple power distribution facilities, including main distribution cabinets, sub-distribution cabinets, transformers, circuit breakers, and grounding devices. The number and types of power distribution facilities within a power distribution room will vary depending on the power load and demand of the area of ​​responsibility. For example, power distribution rooms in large industrial areas may have more complex facilities, while those in small commercial or residential areas may have simpler facilities.

[0038] Operating parameters can include voltage, current, power, and load during the operation of power distribution facilities. Different power distribution facilities have different types of operating parameters. Each power distribution facility in a power distribution room is interconnected. Multiple power distribution facilities work together in coordination to provide a reliable power supply. For example, the main distribution cabinet in the power distribution room receives the main power input and distributes the power to the secondary distribution cabinets and other power distribution facilities. The secondary distribution cabinets then distribute the power to various circuits or loads. Transformers convert high voltage to low voltage for power distribution. Circuit breakers or switches are used to control the connection and disconnection of circuits. Therefore, each power distribution facility has a corresponding connection relationship.

[0039] When constructing the parameter relationship network, graph theory or network analysis methods can be used. Each power distribution facility is represented as a node, and the connection relationship of each power distribution facility is represented as an edge. The working parameters of the power distribution facilities are used as the attributes of the edges or the attributes of the nodes. The specific method of constructing the parameter relationship network is not specifically limited in this application embodiment. As long as it is possible to view the changes in the working parameters of each power distribution facility during the working process due to the influence of other power distribution facilities, or the changes that cause the working parameters of other power distribution facilities to change, through the constructed parameter relationship network.

[0040] Step S120: Obtain the region image corresponding to the responsible region, and determine the AR relationship path graph corresponding to the responsible region based on the region image and parameter relationship network.

[0041] Specifically, the area image corresponding to the responsible area can be captured by image acquisition devices set up within the responsible area and uploaded to electronic devices. Feature recognition can identify each power distribution facility from the area image, and based on the location of each facility within the responsible area, the arrival path for each facility can be determined. This arrival path includes the arrival routes between each power consumption facility within the responsible area and between every two facilities. By marking the arrival routes between every two facilities in the area image and marking the various operating parameters generated by each facility during operation, augmented reality technology is used to overlay virtual objects, images, or information, such as arrival paths and operating parameters, onto the actual area image corresponding to the responsible area. This allows relevant inspection personnel to simultaneously perceive and interact with both the real and virtual worlds. The generated AR relationships provide an intuitive navigation experience, helping inspection personnel follow designated inspection routes during inspections.

[0042] Step S130: When abnormal parameters are detected in the parameter relationship network, the influencing parameters of the abnormal parameters and the influence type corresponding to each influencing parameter are determined according to the parameter relationship network. The influence types include active influence and passive influence.

[0043] Specifically, different power distribution facilities have different criteria for judging abnormal parameters. When judging whether there are abnormal parameters in the parameter relationship network, the corresponding criteria for judging abnormal parameters can be obtained according to the type of power distribution facility. When a parameter that does not meet the criteria for judging abnormal parameters is detected in the power distribution facility, the parameter is considered to be abnormal. The number of abnormal parameters in the parameter relationship network may be 0, 1, or multiple. The number of abnormal parameters is not specifically limited in this embodiment of the application.

[0044] The power distribution facilities corresponding to the abnormal parameters are identified as abnormal power distribution facilities. Since the parameter relationship network contains the connection relationships between each power distribution facility and other power distribution facilities, the power distribution facilities that are connected to the abnormal power distribution facilities can be identified through the parameter relationship network. The identified power distribution facilities are then identified as the power distribution facilities that affect the abnormal power distribution facilities. Among them, the power distribution facilities that affect the abnormal power distribution facilities are also divided into active influence type and passive influence type. If the output end of the power distribution facility that affects the abnormal power distribution facility is connected to the input end of the abnormal power distribution facility, it is characterized as an active influence type. If the input end of the power distribution facility that affects the abnormal power distribution facility is connected to the output end of the abnormal power distribution facility, it is characterized as a passive influence type. The influence parameter is the parameter type corresponding to the influence setting. The method for determining the influence type corresponding to the influence parameter can refer to the method for determining the type of the power distribution facility that affects the influence, which will not be repeated here.

[0045] Step S140: Determine the impact tracing path based on the impact parameters of the abnormal parameters and the impact type corresponding to each impact parameter.

[0046] Specifically, affected power distribution facilities can be directly or indirectly affected by the active or passive influence of abnormal power distribution facilities. When determining the source tracing path, the abnormal power distribution facilities corresponding to the abnormal parameters and the affected power distribution facilities corresponding to each influence parameter can be used as nodes. The paths between the abnormal power distribution facilities and the affected power distribution facilities can be used as edges. Then, the source tracing direction is determined according to the influence type corresponding to each influence parameter. For example, if the abnormal power distribution facility is power distribution facility A, and power distribution facilities B, C, and D are all affected power distribution facilities of power distribution facility A, the influence type corresponding to power distribution facilities B and C is active influence, and the influence type corresponding to power distribution facility D is passive influence, the generated source tracing path can be power distribution facility B, power distribution facility C, power distribution facility A, and power distribution facility D, such as... Figure 2 As shown.

[0047] Step S150: Determine the AR inspection path from the AR relationship path diagram based on the impact tracing path, and feed the AR inspection path back to the inspection equipment of the inspection personnel.

[0048] Specifically, when determining the AR inspection path from the AR relationship path diagram, you can first identify the affected power distribution facilities included in the tracing path from the AR relationship path diagram, then determine the AR location of each affected power distribution facility and abnormal power distribution facility from the AR relationship path diagram, and connect each AR location through the tracing path to determine the AR inspection path corresponding to the tracing path.

[0049] The inspection equipment used by the inspectors can be AR glasses. The AR inspection path can be fed back to the inspectors' equipment, that is, the AR inspection path can be displayed in the inspectors' AR glasses to guide the inspectors to carry out inspections according to the AR inspection path.

[0050] In this embodiment of the application, establishing a parameter relationship network facilitates the tracing of abnormal parameters, rather than simply inspecting and adjusting a power distribution facility when abnormal parameters occur. By tracing the source of the abnormality, the problem can be solved at its root, thereby reducing the probability of abnormalities occurring in the responsible area. By establishing an AR relationship path diagram and determining the AR inspection path corresponding to the tracing path, relevant inspection personnel can conduct inspections according to the AR inspection path. This reduces the probability of key facilities being missed or overlooked during inspections, and improves the standardization of inspection work, thereby increasing the efficiency of the inspection process.

[0051] Furthermore, to reduce the probability of operational errors by inspection personnel, the method also includes: The system acquires real-time images from the perspective of the inspection personnel. When a first preset power distribution facility identifier appears in the image, the system obtains the inspection personnel's identification. Based on the inspection personnel's identification, the system determines whether the inspection personnel have the necessary maintenance authority. If not, the system generates an AR request video based on the image and sends the AR request video to the terminal device corresponding to the experienced personnel. After receiving the AR operation video returned by the terminal device corresponding to the experienced personnel, the system combines the AR operation video with the current perspective image to obtain an AR guidance video, which is then sent back to the inspection equipment of the inspection personnel.

[0052] Specifically, the inspection personnel's perspective images can be captured by their inspection equipment and uploaded to an electronic device. By acquiring these images in real time, the personnel's operational behavior during the inspection process can be monitored. The first preset power distribution facility identifier can be a power distribution facility with a high maintenance level or one that is closely related to other power distribution facilities. The specific first preset power distribution facility is not specifically limited in this embodiment and can be set by relevant technical personnel. There can be one or more first preset power distribution facilities; the specific number is not limited in this embodiment. The first preset power distribution facility identifier can be the power distribution facility number, the location of the power distribution facility, etc. The specific identifier format is not specifically limited in this embodiment, as long as it allows determination of whether the power distribution facility appearing in the perspective image is a first preset power distribution facility.

[0053] The identification of inspection personnel can be an identity number or an inspection equipment number. The specific form of the identification is not limited in this embodiment and can be set by relevant technical personnel. When obtaining the identification of inspection personnel, the corresponding inspection equipment number can be determined based on the upload path of the view image. Since there is a correspondence between the equipment number and the inspection personnel's identity number, when obtaining the identification of inspection personnel, the inspection equipment number can be obtained directly, or the identity number corresponding to the inspection equipment number can be obtained. Because different inspection personnel have different maintenance years, their maintenance permissions also differ. To reduce the probability of failure during the maintenance of the first preset power distribution facility, a maintenance permission list is set up for the first preset power distribution facility. That is, only inspection personnel on the maintenance permission list can perform maintenance on the first preset power distribution facility.

[0054] When generating an AR request video based on a viewpoint image, the process specifically includes: acquiring omnidirectional viewpoint images within a preset time period. At this time, a directional movement command can be generated to remind inspection personnel to take omnidirectional photos of the first preset power distribution facility. The preset time period can be 30 seconds or 40 seconds; the specific duration is not specifically limited in this embodiment. Furthermore, inspection anomalies detected during the inspection process are marked in the omnidirectional viewpoint images. Augmented reality technology is then used to generate the AR request video. Experienced personnel are those on the maintenance authorization list for the first preset power distribution facility. When the AR request video is fed back to the terminal device corresponding to the experienced personnel, it can be fed back according to a pre-recorded transmission path. The terminal device corresponding to the experienced personnel is an AR device that can receive the fed-back AR request video and also needs to record images corresponding to the operation process. Augmented reality technology can be used to combine the images corresponding to the operation process with the AR request video to generate an AR operation video. Similarly, augmented reality technology can be used to combine the current viewpoint image with the AR operation video to generate an AR guidance video. Inspection personnel can use the AR guidance video to inspect the first preset power distribution facility. The AR guidance video contains the steps and specifications for inspecting the first preset power distribution facility.

[0055] Furthermore, to reduce the probability of errors by relevant inspection personnel, the method provided in this application also includes: The system acquires real-time images from the perspective of the inspection personnel. When a second preset power distribution facility identifier appears in the image and an inspection request is received, the system acquires the historical operation guidance information corresponding to the second preset power distribution facility identifier and feeds the historical operation guidance information back to the inspection equipment of the inspection personnel.

[0056] Specifically, the method for acquiring the inspection personnel's perspective image and determining whether a second preset power distribution facility exists in the perspective image can refer to the method for determining whether a first power distribution facility exists in the perspective image in the above embodiment, which will not be repeated here. The permission level corresponding to the second preset power distribution facility is lower than the permission level corresponding to the first preset power distribution facility. That is, the same inspection personnel may have the right to inspect the second preset power distribution facility, but not the right to inspect the first preset power distribution facility.

[0057] Whether to send an inspection request to the electronic device can be determined by the inspection personnel. If the power distribution facility appearing in the inspection personnel's view is the second preset power distribution facility, and the inspection personnel agree to send an inspection request to the electronic device, the electronic device will receive it. If the power distribution facility appearing in the inspection personnel's view is the second preset power distribution facility, but the inspection personnel do not agree to send an inspection request to the electronic device, the electronic device will not receive it.

[0058] Historical operation information refers to the operation information corresponding to the historical inspection process. Different second preset power distribution facilities have different historical operation guidance information. When determining the historical operation guidance information corresponding to the second preset power distribution facility, the historical operation information can be traversed according to the second preset power distribution facility identifier appearing in the view image. The historical operation information contains the correspondence between each second preset power distribution facility identifier and the historical operation guidance information. The historical operation guidance information can be in text form or in AR video form. The specific method is not specifically limited in this application embodiment and can be set by relevant technical personnel. When the historical operation guidance information is in text form, the historical operation guidance information is fed back to the inspection equipment of the inspection personnel in the form of a task list. When the historical operation guidance information is in AR video form, the historical operation guidance information is combined with the real-time view image and fed back to the inspection equipment of the inspection personnel.

[0059] Furthermore, to improve the standardization of inspection personnel during the inspection process, the method provided in this application also includes steps Sa-Sd, such as... Figure 3 As shown, where: Step Sa: Acquire real-time images from the perspective of the inspection personnel and identify image markers appearing in the images.

[0060] Specifically, the inspection personnel can acquire the viewpoint image using their inspection equipment and upload it to the electronic device. The image identifiers appearing in the viewpoint image can be the power distribution facility number or a preset feature location identifier in the area under their responsibility. The specific image identifiers are not specifically limited in this application embodiment and can be set by relevant technical personnel. When identifying the image identifiers appearing in the viewpoint image, the viewpoint image can be imported into a trained feature recognition model. The feature recognition model is trained based on a large number of samples containing image identifiers and manual labels.

[0061] Step Sb: Locate the inspection personnel from the area image based on the image identifiers, and identify the images of the inspection personnel's behavior.

[0062] Specifically, since the image markers correspond to the inspectors, the inspectors in charge of a specific area can be quickly located from the area image using the image markers. The specific determination process involves matching the image markers with the markers appearing in the area image, and then locating the specific position of the image markers from the area image based on the matching results, that is, locating the inspectors from the area image based on the matching results. The images of the inspectors' behavior can be extracted from the area image.

[0063] Step Sc: Obtain the inspection specification information corresponding to the image identifier. The inspection specification information includes the inspection steps and the inspection operation behavior corresponding to each inspection step.

[0064] Specifically, since image markers can locate the position of inspection personnel, the power distribution facilities that need to be inspected can be predicted based on the personnel's location. The inspection specifications corresponding to the image markers are the predicted maintenance specifications for the power distribution facilities requiring maintenance. The inspection specification information includes inspection steps and the corresponding standard maintenance operations for each step. The electronic device stores inspection specification information corresponding to different image markers. The specific content is not specifically limited in this embodiment and can be set by relevant technical personnel.

[0065] Step Sd: Based on the inspection standard information and behavioral images, determine whether the inspection personnel have any abnormal behavior. If so, feed back the corresponding inspection standard information to the inspection personnel's inspection equipment.

[0066] Specifically, behavioral images can identify the steps and specific operations of inspection personnel during the maintenance process. The inspection steps and operations identified in the behavioral images are matched with the inspection standard information. Based on the matching value, it can be determined whether there is any abnormal behavior of the inspection personnel. When abnormal behavior of the inspection personnel is detected, the standard inspection standard information is directly fed back to the inspection equipment to remind the inspection personnel to carry out maintenance according to the inspection standard information.

[0067] Furthermore, to extend the service life of power distribution facilities, the method further includes steps S1-S5, such as... Figure 4 As shown, where: Step S1: When the difference between the abnormal parameter and the corresponding standard parameter is lower than the preset parameter difference, the abnormal parameter is identified as a potential abnormal parameter.

[0068] Specifically, abnormal parameters are those whose operating parameters differ from standard parameters. For example, in normal operation, the standard parameter corresponding to parameter A of a power distribution facility is 100. When the value of parameter A is not 100, parameter A is determined to be an abnormal parameter. The preset parameter difference can be 10 or 8. The specific preset parameter difference is not specifically limited in this embodiment and can be set by relevant technical personnel. If a parameter value of a power distribution facility is not equal to the corresponding standard parameter during operation, and the parameter difference is lower than the preset parameter difference, the probability of the power distribution facility malfunctioning is relatively small, and it is generally not inspected, or is not inspected immediately. Therefore, the original abnormal parameter can be changed to a potential abnormal parameter.

[0069] Step S2: From the parameter relationship network, identify at least one power distribution facility that is affected by a potential abnormal parameter.

[0070] Specifically, the affected power distribution facilities corresponding to the potential abnormal parameters are those power distribution facilities that are connected to the power distribution facilities corresponding to the potential abnormal parameters. The number of affected power distribution facilities can be one or more. The specific number is not specifically limited in this application embodiment and can be set by relevant technical personnel.

[0071] Step S3: Obtain the first parameter change information and environmental characteristics of each power distribution facility within the first preset time period. The first parameter change information is used to characterize the rate of change of potential abnormal parameters affecting the power distribution facility within the first preset time period. The environmental characteristics include temperature, humidity and pollutant concentration.

[0072] Specifically, the first preset time period is a period of time preceding the current moment, which can be 24 hours or 30 hours prior to the current moment. The specific duration is not specifically limited in this embodiment, as long as the first preset time period is a period preceding the current moment. By analyzing the rate of change of potential abnormal parameters affecting the power distribution facilities within the first preset time period, it is easier to predict whether the power distribution facilities will malfunction during operation. Since the environmental characteristics within the power distribution room may affect the operation of the power distribution facilities—for example, high temperatures or overheating can lead to poor heat dissipation, thus affecting the performance and lifespan of the power distribution facilities; high humidity environments increase the risk of moisture absorption, reduced insulation, and short circuits, potentially leading to power distribution facility malfunctions or electrical accidents—it is necessary to consider the operating environment of the power distribution facilities when predicting whether they will malfunction. Environmental characteristics can be collected by sensors placed near the power distribution facilities and uploaded to electronic equipment.

[0073] Step S4: Construct a corresponding simulated operating environment based on the environmental characteristics of each power distribution facility within a preset time period, and predict the second parameter change information of each power distribution facility within a second preset time period based on the simulated operating environment corresponding to each power distribution facility. The second parameter change information is used to characterize the rate of change of potential abnormal parameters affecting the power distribution facility within the second preset time period.

[0074] Specifically, when constructing a simulated operating environment corresponding to the actual power distribution room based on environmental characteristics and other parameters, suitable simulation tools or software can be selected based on the environmental characteristics, including temperature, humidity, and pollutant concentration, as well as each operating parameter affecting the power distribution facility, such as power and current. The simulation tools or software can be general simulation software, such as MATLAB and Simulink, or simulation tools specific to a particular field, such as circuit simulation software and flight simulators. The specific simulation tools or software are not specifically limited in this embodiment of the application, as long as the simulated operating environment can be constructed using the selected simulation tools or software. After determining the simulation tool, the environmental characteristics and other parameters are input into the simulation tool, and the simulation tool is then run.

[0075] The second preset time period is a period of time after the current moment, which can be 24 hours or 30 hours after the current moment. The specific duration is not specifically limited in this embodiment, as long as the second preset time period is a period of time after the current moment. By simulating the rate of change of potential abnormal parameters affecting the power distribution facilities within the second preset time period, it is convenient to predict whether the power distribution facilities will fail in future operation.

[0076] Step S5: Compare the first parameter change information and the second parameter change information for each power distribution facility to determine if there is an abnormal power distribution facility. If so, generate a warning message to remind relevant maintenance personnel to carry out maintenance. The abnormal power distribution facility is the power distribution facility whose change rate in the second parameter change information is higher than the change rate in the first parameter change information.

[0077] Specifically, if the rate of change of the second parameter is higher than the rate of change of the first parameter, it is determined that the power distribution facility affected by the potential abnormal parameter may fail in future operation, or the probability of the power distribution facility affected by the potential abnormal parameter failing in future operation is high. At this time, a warning message will be generated to remind relevant technical personnel to inspect the affected power distribution facility. The warning message includes the identifier of the affected power distribution facility so that relevant maintenance personnel can quickly locate the affected power distribution facility.

[0078] To increase the probability that this parameter will be detected by relevant inspection personnel, the method also includes: Once the maintenance of the affected power distribution facilities is completed, the maintenance parameter information corresponding to the affected power distribution facilities and the simulated operating environment of the potential abnormal power distribution facilities corresponding to the potential abnormal parameters are obtained. The maintenance parameter information is then imported into the simulated operating environment of the potential abnormal power distribution facilities to determine whether the potential abnormal parameters have changed. The abnormal judgment criteria corresponding to the potential abnormal parameters that have not changed are then adjusted.

[0079] Specifically, when the rate of change of the second parameter affecting a power distribution facility is higher than the rate of change of the first parameter, it is determined that the affected power distribution facility may fail during future operation. In this case, maintenance is required to mitigate the impact of the failure. Once the maintenance is completed, a maintenance completion signal is generated and sent to the electronic equipment. Therefore, the electronic equipment can clearly determine whether each affected power distribution facility requires maintenance and whether maintenance has been completed. The maintenance parameters are the operating parameters of the affected power distribution facility after maintenance is completed. These parameters are then re-imported into the simulation environment to determine the variables and invariants. Since each power distribution facility can be connected to other facilities, maintenance on one affected facility may also affect others. The variables are the affected parameters, and the invariants are the unaffected parameters.

[0080] If a parameter remains unaffected, it indicates that the cause of the parameter's anomaly has not yet been traced successfully, meaning the corresponding power distribution facility has a higher risk of failure. In this case, to increase the probability that such a parameter will be detected by relevant inspection personnel, the anomaly judgment standard for this parameter can be raised. For example, the original anomaly judgment standard was that parameter A was identified as an abnormal parameter when it was below 50. The adjusted anomaly judgment standard is that parameter A is identified as an abnormal parameter when it is below 60. When adjusting the anomaly judgment standard, the preset threshold can be raised or lowered. The specific preset threshold is not specifically limited in this application embodiment and can be adjusted by relevant technical personnel. When the risk of a potential abnormal parameter failing is high, adjusting the anomaly judgment standard for that parameter can increase the probability that it will be detected by relevant inspection personnel, thereby reducing the probability of the corresponding potential abnormal power distribution facility failing.

[0081] To reduce the error rate during parameter recording, the method also includes: The system acquires real-time images from the perspective of inspection personnel, identifies AR parameter information appearing in the images, including the power distribution facility number and the parameters corresponding to each power distribution facility; records the AR parameter information, and generates an inspection record list.

[0082] Specifically, the method of identifying the power distribution facility number and the corresponding parameters of each power distribution facility from the view image can refer to the image identification method in the view image mentioned above, and will not be repeated here. After identifying the power distribution facility number and the parameters on the display screen corresponding to each power distribution facility in the view image, the cloud record directly generates the inspection record list, without the need for manual recording, which helps to reduce the probability of errors in the manual recording process.

[0083] When generating the inspection record list, at least one working parameter involved in the same power distribution facility can be identified before generating the inspection record list corresponding to the power distribution facility. Alternatively, the inspection record list corresponding to the power distribution room can be generated after all power distribution facilities in the power distribution room have been inspected. The specific generation method is not specifically limited in this application embodiment and can be set by relevant technical personnel.

[0084] The above embodiments describe an automated power distribution facility path planning method from the perspective of process flow. The following embodiments describe an automated power distribution facility path planning device from the perspective of virtual modules or virtual units. For details, please refer to the following embodiments.

[0085] This application provides an automated power distribution facility path planning device, such as... Figure 5 As shown, the device may specifically include a parameter relationship network determination module 510, an AR relationship path determination module 520, an impact information determination module 530, an impact tracing path determination module 540, and an AR inspection path determination module 550, wherein: The parameter relationship network module 510 is used to obtain the working parameters and connection relationships of each power distribution facility in the area under its responsibility, and to construct the parameter relationship network corresponding to the area under its responsibility based on the working parameters and connection relationships of each power distribution facility. The AR relationship path graph determination module 520 is used to obtain the region image corresponding to the responsible region, and determine the AR relationship path graph corresponding to the responsible region based on the region image and parameter relationship network. The impact information module 530 is used to determine the impact parameters of the abnormal parameters and the impact type of each impact parameter when abnormal parameters are detected in the parameter relationship network. The impact types include active impact and passive impact. The impact tracing path determination module 540 is used to determine the impact tracing path based on the impact parameters of the anomaly parameters and the impact type corresponding to each impact parameter. The AR inspection path determination module 550 is used to determine the AR inspection path from the AR relationship path diagram based on the impact tracing path, and to feed back the AR inspection path to the inspection equipment of the inspection personnel.

[0086] In one possible implementation, the device further includes: The first identification module is used to acquire the inspection personnel's view image in real time. When the first preset power distribution facility identification appears in the view image, the inspection personnel's identification is acquired. The permission judgment module is used to determine whether the inspection personnel have the right to perform maintenance based on their identity identifier. The AR request video generation module is used to generate an AR request video based on the viewpoint image if no, and then feed the AR request video back to the terminal device corresponding to the experienced personnel. An AR guidance video generation module is used to combine the AR operation video returned by the terminal device corresponding to the experienced personnel with the current viewpoint image to obtain an AR guidance video, and then feed the AR guidance video back to the inspection equipment of the inspection personnel.

[0087] In one possible implementation, the device further includes: The second identification module is used to acquire the perspective image of the inspection personnel in real time. When the second preset power distribution facility identification appears in the perspective image and an inspection request is received, the historical operation guidance information corresponding to the second preset power distribution facility identification is acquired. The historical information feedback module is used to feed back historical operation guidance information to the inspection equipment of the inspection personnel.

[0088] In one possible implementation, the device further includes: The image identification module is used to acquire images from the perspective of the inspection personnel in real time and identify the image identifiers appearing in the images from the perspective. The behavior image recognition module is used to locate patrol personnel from area images based on image identifiers and to recognize the behavior images of the patrol personnel. The module for obtaining standard information is used to obtain the inspection standard information corresponding to the image identifier. The inspection standard information includes the inspection steps and the inspection operation behavior corresponding to each inspection step. The abnormal behavior judgment module is used to determine whether the inspection personnel have abnormal behavior based on the inspection standard information and behavior images. If so, the corresponding inspection standard information is fed back to the inspection personnel's inspection equipment.

[0089] In one possible implementation, the device further includes: The module for identifying potential abnormal parameters is used to identify abnormal parameters as potential abnormal parameters when the difference between an abnormal parameter and its corresponding standard parameter is lower than a preset parameter difference. The module for identifying affected power distribution facilities is used to identify at least one affected power distribution facility corresponding to a potential abnormal parameter from the parameter relationship network. The first information acquisition module is used to acquire information on the change of the first parameter and environmental characteristics of each power distribution facility within a first preset time period. The information on the change of the first parameter is used to characterize the rate of change of potential abnormal parameters affecting the power distribution facility within the first preset time period. The environmental characteristics include temperature, humidity and pollutant concentration. The second information acquisition module is used to construct a corresponding simulated operating environment based on the environmental characteristics of each power distribution facility within a preset time period, and to predict the second parameter change information of each power distribution facility within a second preset time period based on the simulated operating environment corresponding to each power distribution facility. The second parameter change information is used to characterize the rate of change of potential abnormal parameters affecting the power distribution facility within the second preset time period. The information comparison module is used to compare the first parameter change information and the second parameter change information of each power distribution facility to determine whether there is an abnormal power distribution facility. If so, a warning message is generated to remind relevant maintenance personnel to carry out maintenance. The abnormal power distribution facility is the power distribution facility whose change rate in the second parameter change information is higher than the change rate in the first parameter change information.

[0090] In one possible implementation, the device further includes: The module for obtaining the simulated operating environment is used to obtain the maintenance parameter information corresponding to the affected power distribution facilities and the simulated operating environment of the potential abnormal power distribution facilities corresponding to the potential abnormal parameters after the maintenance of the affected power distribution facilities is completed. The parameter change judgment module is used to import maintenance parameter information into the simulated operation environment of potentially abnormal power distribution facilities and determine whether the potential abnormal parameters have changed. The standard adjustment module is used to adjust the anomaly judgment criteria corresponding to potential anomaly parameters that have not changed.

[0091] In one possible implementation, the device further includes: The AR parameter identification module is used to acquire the inspection personnel's viewpoint image in real time and identify the AR parameter information appearing in the viewpoint image. The AR parameter information includes the power distribution facility number and the parameters corresponding to each power distribution facility. The module for generating inspection record lists is used to record AR parameter information and generate inspection record lists.

[0092] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the automated power distribution facility path planning device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0093] This application provides an electronic device, such as... Figure 6 As shown, Figure 6 The illustrated electronic device 600 includes a processor 601 and a memory 603. The processor 601 and the memory 603 are connected, for example, via a bus 602. Optionally, the electronic device 600 may also include a transceiver 604. It should be noted that in practical applications, the transceiver 604 is not limited to one type, and the structure of this electronic device 600 does not constitute a limitation on the embodiments of this application.

[0094] Processor 601 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 601 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0095] Bus 602 may include a pathway for transmitting information between the aforementioned components. Bus 602 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 602 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 6 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0096] The memory 603 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0097] The memory 603 stores application code that executes the scheme of this application, and its execution is controlled by the processor 601. The processor 601 executes the application code stored in the memory 603 to implement the content shown in the foregoing method embodiments.

[0098] Electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers can also be included. Figure 6 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0099] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0100] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0101] The above description is only a partial embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for path planning of automated power distribution facilities, characterized in that, include: Obtain the operating parameters and connection relationships of each power distribution facility within the responsible area, and construct a parameter relationship network corresponding to the responsible area based on the operating parameters and connection relationships of each power distribution facility; Obtain the region image corresponding to the responsible region, and determine the AR relationship path graph corresponding to the responsible region based on the region image and the parameter relationship network; When abnormal parameters are detected in the parameter relationship network, the influencing parameters of the abnormal parameters and the influence type corresponding to each influencing parameter are determined according to the parameter relationship network. The influence type includes active influence and passive influence. Based on the impact parameters of the aforementioned abnormal parameters and the impact type corresponding to each impact parameter, the impact tracing path is determined; Based on the impact tracing path, the AR inspection path is determined from the AR relationship path diagram, and the AR inspection path is fed back to the inspection equipment of the inspection personnel. When the difference between the abnormal parameter and the corresponding standard parameter is lower than the preset parameter difference, the abnormal parameter is identified as a potential abnormal parameter. From the parameter relationship network, identify at least one power distribution facility corresponding to the potential abnormal parameter; The first parameter change information and environmental characteristics of each power distribution facility within a first preset time period are obtained. The first parameter change information is used to characterize the rate of change of potential abnormal parameters affecting the power distribution facility within the first preset time period. The environmental characteristics include temperature, humidity and pollutant concentration. Based on the environmental characteristics of each power distribution facility within a preset time period, a corresponding simulated operating environment is constructed. Based on the simulated operating environment corresponding to each power distribution facility, the change information of the second parameter of each power distribution facility within a second preset time period is predicted. The change information of the second parameter is used to characterize the rate of change of the potential abnormal parameters affecting the power distribution facility within the second preset time period. The first parameter change information and the second parameter change information of each power distribution facility are compared to determine whether there is an abnormal power distribution facility. If so, an alarm message is generated to remind relevant maintenance personnel to carry out maintenance. The abnormal power distribution facility is the power distribution facility whose change rate in the second parameter change information is higher than the change rate in the first parameter change information.

2. The method for path planning of automated power distribution facilities according to claim 1, characterized in that, After feeding back the AR inspection path to the inspection personnel's inspection equipment, the process also includes: The inspection personnel's perspective image is acquired in real time. When a first preset power distribution facility identifier appears in the perspective image, the inspection personnel's identity identifier is acquired. Determine whether the inspection personnel have the necessary maintenance authority based on their identification badges. If not, an AR request video is generated based on the viewpoint image, and the AR request video is fed back to the terminal device corresponding to the experienced personnel; Upon receiving the AR operation video returned by the terminal device corresponding to the experienced personnel, the AR operation video is combined with the viewpoint image corresponding to the current moment to obtain an AR guidance video, and the AR guidance video is fed back to the inspection equipment of the inspection personnel.

3. The method for path planning of automated power distribution facilities according to claim 1, characterized in that, After feeding back the AR inspection path to the inspection personnel's inspection equipment, the process also includes: The system acquires real-time images from the perspective of the inspection personnel. When a second preset power distribution facility identifier appears in the image and an inspection request is received, the system acquires historical operation guidance information corresponding to the second preset power distribution facility identifier. The historical operation guidance information is fed back to the inspection equipment of the inspection personnel.

4. The method for path planning of automated power distribution facilities according to claim 1, characterized in that, After feeding back the AR inspection path to the inspection personnel's inspection equipment, the process also includes: The system acquires real-time images from the perspective of the inspection personnel and identifies image markers appearing in the images. Based on the image identifier, the inspection personnel are located from the area image, and the behavioral images of the inspection personnel are identified; Obtain the inspection specification information corresponding to the image identifier, the inspection specification information including inspection steps and inspection operation behavior corresponding to each inspection step; Based on the inspection standard information and the behavior image, it is determined whether the inspection personnel have any abnormal behavior. If so, the corresponding inspection standard information is fed back to the inspection personnel's inspection equipment.

5. The method for path planning of automated power distribution facilities according to claim 1, characterized in that, After generating the warning message, the following is also included: Once the maintenance of the affected power distribution facilities is completed, the maintenance parameter information corresponding to the affected power distribution facilities and the simulated operating environment of the potential abnormal power distribution facilities corresponding to the potential abnormal parameters are obtained. The maintenance parameter information is imported into the simulated operation environment of the potentially abnormal power distribution facility to determine whether the potential abnormal parameters have changed. Adjust the anomaly judgment criteria corresponding to the potential abnormal parameters that have not changed.

6. The method for path planning of automated power distribution facilities according to claim 1, characterized in that, Also includes: The inspection personnel's perspective image is acquired in real time, and AR parameter information appearing in the perspective image is identified. The AR parameter information includes the power distribution facility number and the parameters corresponding to each power distribution facility. The AR parameter information is recorded to generate an inspection record list.

7. An automated power distribution facility path planning device, characterized in that, include: The parameter relationship network module is used to obtain the working parameters and connection relationships of each power distribution facility within the responsible area, and to construct the parameter relationship network corresponding to the responsible area based on the working parameters and connection relationships of each power distribution facility. The AR relationship path graph determination module is used to obtain the region image corresponding to the responsible region, and determine the AR relationship path graph corresponding to the responsible region based on the region image and the parameter relationship network. The impact information determination module is used to determine the impact parameters of the abnormal parameters and the impact type corresponding to each impact parameter based on the parameter relationship network when an abnormal parameter is detected in the parameter relationship network. The impact type includes active impact and passive impact. The impact tracing path determination module is used to determine the impact tracing path based on the impact parameters of the anomaly parameters and the impact type corresponding to each impact parameter; The AR inspection path determination module is used to determine the AR inspection path from the AR relationship path diagram based on the impact tracing path, and to feed back the AR inspection path to the inspection equipment of the inspection personnel; The module for determining potential abnormal parameters is used to determine the abnormal parameter as a potential abnormal parameter when the parameter difference between the abnormal parameter and the corresponding standard parameter is lower than a preset parameter difference. The module for identifying power distribution facilities affected is used to determine, from the parameter relationship network, at least one power distribution facility affected by the potential abnormal parameter; The first information acquisition module is used to acquire information on the change of the first parameter and environmental characteristics of each power distribution facility within a first preset time period. The information on the change of the first parameter is used to characterize the rate of change of potential abnormal parameters affecting the power distribution facility within the first preset time period. The environmental characteristics include temperature, humidity and pollutant concentration. The second information acquisition module is used to construct a corresponding simulated operating environment based on the environmental characteristics of each power distribution facility within a preset time period, and to predict the second parameter change information of each power distribution facility within a second preset time period based on the simulated operating environment corresponding to each power distribution facility. The second parameter change information is used to characterize the rate of change of potential abnormal parameters affecting the power distribution facility within the second preset time period. The information comparison module is used to compare the first parameter change information and the second parameter change information of each power distribution facility to determine whether there is an abnormal power distribution facility. If so, a warning message is generated to remind relevant maintenance personnel to carry out maintenance. The abnormal power distribution facility is the power distribution facility whose change rate in the second parameter change information is higher than the change rate in the first parameter change information.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform an automated power distribution facility path planning method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, include: The computer program is stored and can be loaded by a processor and executed as described in any one of claims 1-6, which is an automated power distribution facility path planning method.

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