Power distribution network operation and maintenance inspection method and system

Abstract

The invention discloses a power distribution network operation and maintenance patrol method and system. The power distribution network operation and maintenance inspection method comprises the following steps: when a target object is detected to exist in a power distribution network area, controlling a camera device to move, so that the target object is located in a field of view of the camera device; controlling a camera device to shoot patrol data of the power distribution network area; determining a patrol result of the power distribution network according to the patrol data, and visually displaying the patrol result; wherein the inspection result comprises suspected fault information and fault information of the power distribution network. The target object in the power distribution area is automatically tracked and shot through the camera device, multi-directional mobile inspection is carried out on the power distribution network area, the inspection efficiency is improved, monitoring dead angles are reduced, an accurate inspection result is determined according to comprehensive inspection data, and the inspection effect is ensured.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a distribution network operation and maintenance inspection method and system. Background Art

[0002] The distribution network has the characteristics of multiple voltage levels, complex network structure, diverse equipment types, many and wide-ranging operation points, and relatively poor safety environment. Therefore, the distribution network also has relatively more safety risk factors and a large workload for inspection and maintenance.

[0003] At present, in order to ensure the safe operation of the distribution network, manual inspection is mainly used to check the relevant areas of the distribution network. However, the efficiency of manual inspection is low, there are blind spots in the inspection, and it is difficult to accurately judge the actual situation in the distribution network area, and the inspection effect of the distribution network cannot be guaranteed. Summary of the invention

[0004] In view of this, the present application provides a distribution network operation and maintenance inspection method and system, which automatically tracks and photographs target objects in the distribution area through a camera device, realizes multi-directional mobile inspection, improves inspection efficiency, reduces monitoring blind spots, and determines accurate inspection results based on comprehensive inspection data to ensure inspection effectiveness.

[0005] According to one aspect of the present application, a distribution network operation and maintenance inspection method is provided, comprising: when a target object is detected in a distribution network area, controlling a camera device to move so that the target object is located in the field of view of the camera device; controlling the camera device to capture inspection data of the distribution network area; determining inspection results of the distribution network based on the inspection data, and visually displaying the inspection results; wherein the inspection results include suspected fault information and fault information of the distribution network.

[0006] Optionally, the camera device includes a rotating assembly, a shooting device and a drive box arranged on a linear rail in the distribution network area, the drive box and the shooting device are respectively connected to two sides of the rotating assembly, and the drive box is provided with a transmission assembly and a drive assembly that are interconnected; the control of the movement of the camera device includes: determining a target angle and a target displacement according to the coordinates of the target object; controlling the drive box to move on the linear rail according to the target displacement, and controlling the rotating assembly to drive the shooting device to rotate to the target angle.

[0007] Optionally, determining the target angle and target displacement according to the target object coordinates includes: determining a shooting distance between the drive box and the target object according to the drive box coordinates and the target object coordinates; if the shooting distance is greater than a preset distance, determining a difference vector from the drive box coordinates to the target object coordinates; determining the target displacement according to the direction and distance represented by the difference vector; identifying the position of the target object in the patrol data by a preset recognition algorithm, and determining the target angle by a preset rotation model according to the distance between the position of the target object in the patrol data and the center line of the patrol data.

[0008] Optionally, the distribution network operation and maintenance inspection method also includes: according to the collection period corresponding to the received control instruction, through a sensor device located at a preset position, collecting the operating status data of the distribution network area, and using the operating status data as the inspection data; wherein the operating status includes at least voltage data, current data, temperature data and humidity data.

[0009] Optionally, the patrol data includes image data and operating status data, and determining the patrol result of the distribution network based on the patrol data includes: preprocessing the image data and the operating status data; determining the suspected fault information of the distribution network based on the image recognition result of the preprocessed image data, and the comparison result of the preprocessed operating status data with preset historical normal operating status data; wherein the suspected fault information includes suspected distribution equipment fault and suspected distribution line fault; comparing the patrol data detecting the suspected fault information with a preset threshold value corresponding to the suspected fault information; if the patrol data detecting the suspected fault information is greater than the preset threshold value, determining the fault information of the distribution network; wherein the fault information includes distribution equipment fault and distribution line fault.

[0010] Optionally, the distribution network operation and maintenance inspection method also includes: predicting the performance of the distribution network within the target period through a preset prediction model based on the inspection data, and determining the predicted performance change trend data of the distribution network; determining the suspected fault information and the fault information of the distribution network within the target period based on the predicted performance change trend data.

[0011] Optionally, the distribution network operation and maintenance inspection method also includes: comparing the inspection data of the detected fault information with multiple preset historical fault ranges; determining the risk level of the fault information according to the preset risk level corresponding to the target preset historical fault range that matches the fault information, and determining the warning information according to the preset information corresponding to the target preset historical fault range, and displaying the warning information.

[0012] Optionally, the distribution network operation and maintenance inspection method also includes: obtaining user login information; if the login information meets the preset valid information, receiving a control instruction; controlling the on and off of the distribution equipment in the distribution network area according to the control instruction, and / or adding or deleting the distribution equipment in a preset database corresponding to the distribution network area according to the control instruction, and / or modifying the attribute information of the distribution equipment in the preset database according to the control instruction.

[0013] Optionally, controlling the camera device to capture patrol data of the distribution network area includes: if it is detected that the light intensity of the distribution network area is less than a preset light intensity threshold, controlling the night vision shooting equipment of the camera device to capture patrol data of the distribution network area.

[0014] According to another aspect of the present application, a distribution network operation and maintenance inspection system is provided, including: a control module, which is used to control the movement of a camera device when a target object is detected in a distribution network area so that the target object is located in the field of view of the camera device; and control the camera device to capture inspection data of the distribution network area; a determination module, which is used to determine the inspection results of the distribution network based on the inspection data, and visualize the inspection results; wherein the inspection results include suspected fault information and fault information of the distribution network.

[0015] Optionally, the control module is specifically used to: determine a target angle and a target displacement according to the target object coordinates; control the drive box to move on the linear rail according to the target displacement, and control the rotating assembly to drive the shooting device to rotate the target angle.

[0016] Optionally, the control module is specifically used to: determine the shooting distance between the drive box and the target object based on the drive box coordinates and the target object coordinates; if the shooting distance is greater than a preset distance, determine the difference vector from the drive box coordinates to the target object coordinates; determine the target displacement based on the direction and distance represented by the difference vector; identify the position of the target object in the patrol data through a preset recognition algorithm, and determine the target angle through a preset rotation model based on the distance between the position of the target object in the patrol data and the center line of the patrol data.

[0017] Optionally, the distribution network operation and maintenance inspection system also includes:

[0018] The acquisition module is used to collect the operating status data of the distribution network area through a sensor device located at a preset position according to the acquisition cycle corresponding to the received control instruction, and use the operating status data as the patrol data; wherein the operating status at least includes voltage data, current data, temperature data and humidity data.

[0019] Optionally, the determination module is specifically used to preprocess the image data and the operating status data; determine the suspected fault information of the distribution network based on the image recognition result of the preprocessed image data, and the comparison result of the preprocessed operating status data with the preset historical normal operating status data; wherein the suspected fault information includes suspected distribution equipment failure and suspected distribution line failure; compare the patrol data for detecting the suspected fault information with a preset threshold value corresponding to the suspected fault information; if the patrol data for detecting the suspected fault information is greater than the preset threshold value, determine the fault information of the distribution network; wherein the fault information includes distribution equipment failure and distribution line failure.

[0020] Optionally, the distribution network operation and maintenance inspection system also includes:

[0021] A prediction module is used to predict the performance of the distribution network within a target period according to the patrol data through a preset prediction model, and determine the predicted performance change trend data of the distribution network; and determine the suspected fault information and the fault information of the distribution network within the target period according to the predicted performance change trend data.

[0022] Optionally, the distribution network operation and maintenance inspection system also includes:

[0023] The display module is used to compare the patrol data of the detected fault information with multiple preset historical fault ranges; determine the risk level of the fault information according to the preset risk level corresponding to the target preset historical fault range that matches the fault information, and determine the warning information according to the preset information corresponding to the target preset historical fault range, and display the warning information.

[0024] Optionally, the distribution network operation and maintenance inspection system also includes:

[0025] A login module is used to obtain the user's login information; if the login information meets the preset valid information, a control instruction is received; according to the control instruction, the on and off of the distribution equipment in the distribution network area is controlled, and / or according to the control instruction, the distribution equipment is added or deleted in the preset database corresponding to the distribution network area, and / or the attribute information of the distribution equipment is modified in the preset database according to the control instruction.

[0026] Optionally, the control module is specifically used to: if it is detected that the light intensity in the distribution network area is less than a preset light intensity threshold, control the night vision shooting device of the camera device to shoot patrol data of the distribution network area.

[0027] By means of the above technical solution, the present application provides a distribution network operation and maintenance inspection method and system, which automatically tracks and photographs the target object in the distribution network area through a camera device, conducts multi-directional mobile inspection of the distribution network area, effectively reduces the inspection blind spot, thereby obtaining comprehensive inspection data of the distribution network area, improving inspection efficiency, and ensuring inspection effect. In addition, the accurate inspection results of the distribution network are determined based on the inspection data, and the inspection results of the distribution network are visualized, which helps to accurately grasp the actual operating status of the distribution network, so as to carry out targeted improvements and optimizations, and improve the performance and stability of the distribution network.

[0028] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0030] Figure 1 A schematic diagram of the process of the distribution network operation and maintenance inspection method provided in an embodiment of the present application is shown;

[0031] Figure 2 The structure block diagram of the distribution network operation and maintenance inspection system provided by the embodiment of the present application is shown;

[0032] Figure 3 One of the structural schematic diagrams of the camera device provided in the embodiment of the present application is shown;

[0033] Figure 4 The second structural schematic diagram of the camera device provided in the embodiment of the present application is shown;

[0034] Figure 5 This is a third structural schematic diagram of a camera device provided according to an embodiment of the present application.

[0035] Description of the Figures in the Specification:

[0036] 1. Drive box; 2. Cover plate; 3. Shooting equipment; 4. Line rail; 5. Line hole; 6. Sealing block; 7. Motor; 8. Turntable; 9. Rotating shaft; 10. Line wheel; 11. Line slot; 12. Power supply device; 13. Driver; 14. Linkage box. DETAILED DESCRIPTION

[0037] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0038] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be interpreted as limiting the present application.

[0039] Those skilled in the art will appreciate that, unless expressly stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. It should be understood that when we refer to an element as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, or there may be intermediate elements. In addition, the "connection" or "connection" used herein may include wireless connection or wireless fusion. The term "and / or" used herein includes all or any unit and all combinations of one or more associated listed items.

[0040] Now, exemplary embodiments according to the present application will be described in more detail with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in a variety of different forms and should not be interpreted as being limited to the embodiments set forth herein. It should be understood that these embodiments are provided to make the disclosure of the present application thorough and complete, and to fully convey the concepts of these exemplary embodiments to those of ordinary skill in the art.

[0041] The distribution network operation and maintenance inspection method provided in the embodiment of the present application can be applied to the terminal, can also be applied to the server, and can also be software running in the terminal or the server. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or a server cluster or distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the distribution network operation and maintenance inspection method, etc., but is not limited to the above forms.

[0042] In this embodiment, a distribution network operation and maintenance inspection method is provided. Figure 1As shown, the method includes:

[0043] Step 101: when a target object is detected in a power distribution network area, control a camera device to move so that the target object is located in the field of view of the camera device.

[0044] In this embodiment, the target object in the distribution network area is automatically tracked by a camera device, and the distribution network area is patrolled automatically from all directions to cover a wider area, effectively reducing patrol blind spots, reducing omissions and negligence that may occur in manual patrols, and greatly improving the efficiency and comprehensiveness of patrols.

[0045] Exemplarily, the camera device may be a mobile device with a shooting function, such as a mobile robot or a drone. The target object may be any power distribution resource in a power distribution network scenario, such as a power distribution line, power distribution equipment, or operation and maintenance personnel. When the target object is detected in the distribution network area, the camera device is controlled to move so that the target object is located in the field of view of the camera device, thereby realizing automatic tracking of the target object.

[0046] In one embodiment, if Figures 3 to 5 As shown, the camera device includes a rotating component, a shooting device and a driving box arranged on a linear rail in the distribution network area. The driving box and the shooting device are respectively connected to both sides of the rotating component, and a transmission component and a driving component connected to each other are arranged inside the driving box.

[0047] In this example, the camera device can be flexibly moved within the distribution network area to achieve multi-directional inspections, reduce inspection blind spots, and improve inspection efficiency.

[0048] Specifically, the line track 4 is laid out in the distribution network area according to the actual inspection requirements. The arrangement of the line track 4 provides a stable path for the movement of the camera device, thereby ensuring the stability and accuracy of the inspection process.

[0049] Exemplarily, a track 4 is laid at the overhead line of the power distribution network, and a camera moves and shoots on the track 4 to inspect the overhead line and cable equipment, wherein the track 4 can share pillars with the acceleration line in the overhead line.

[0050] Furthermore, the camera device includes a rotating assembly, a shooting device 3 and a driving box 1 arranged on the linear track 4. The driving box 1 is provided with a transmission assembly and a driving assembly connected to each other, and the transmission assembly includes a rotating shaft 9 and a linkage box 14 arranged on the rotating shaft 9. Wire wheels 10 are sleeved at both ends of the rotating shaft 9, and a wire groove 11 capable of engaging the linear track 4 is arranged on the outer periphery of the wire wheel 10. The driving shaft of the driving assembly extends to the interior of the linkage box 14 and is connected to the driving gear inside the linkage box 14, so that the driving shaft is linked with the rotating shaft 9, and the rotating shaft 9 drives the wire wheel 10 to rotate on the linear track 4, thereby realizing the flexible movement of the driving box 1 on the linear track 4, and then realizing the all-round coverage of the patrol and reducing the blind spots of the patrol.

[0051] Exemplarily, the shooting device 3 includes but is not limited to a high-definition camera and a surveillance dome camera. In addition, the shooting device has multiple shooting functions, such as shooting images, recording videos, etc.

[0052] The drive box 1 is symmetrically provided with wire holes 5 on both sides, and the wire rail 4 passes through the wire holes 5 and is connected to the wire groove 11, so that the drive box 1 is arranged on the wire rail 4. The drive assembly includes the drive box 1, and the drive box 1 is provided with a driver 13 inside, and the drive shaft is arranged at the power output end of the driver 13.

[0053] Furthermore, a rotating assembly is disposed on the outside of the driving box 1 on the side where the wire hole 5 is not disposed, and the shooting device 3 and the driving box 1 are disposed on both sides of the rotating assembly symmetrically. The rotating assembly includes a motor 7 and a turntable 8 disposed at the power output end of the motor 7, and the shooting device 3 is disposed on the side of the turntable 8 away from the motor 7. In addition, a power supply device 12 is disposed inside the driving box 1, and the power supply device 12 is electrically connected to the motor 7 and the driver 13. The built-in power supply device 12 supplies power to the motor 7 and the driver 13, so that the camera device is not restricted by external power supply conditions to a certain extent, thereby enhancing the independence of the camera device and increasing the scope of application of the camera device.

[0054] Exemplarily, the power supply device 12 may be a battery, and the battery is electrically connected to the motor 7 and the driver 13 via a wire.

[0055] Furthermore, a cover plate 2 is provided on the side of the drive box 1 away from the rotating assembly, and the cover plate 2 is fixedly connected to the housing of the drive box 1 by bolts. A sealing block 6 is provided on the side of the cover plate 2 located inside the housing of the drive box 1, and the sealing block 6 is engaged with the housing of the drive box 1. The design of the cover plate 2 and the sealing block 6 can effectively protect the components inside the drive box 1, prevent them from being damaged by the external environment, and improve the durability of the camera device.

[0056] Furthermore, as a refinement and expansion of the specific implementation methods of the above-mentioned embodiment, in order to fully illustrate the specific implementation process of this embodiment, the steps of controlling the movement of the camera device specifically include: determining the target angle and target displacement according to the coordinates of the target object; controlling the drive box to move on the linear rail according to the target displacement, and controlling the rotating assembly to drive the shooting device to rotate the target angle.

[0057] In this embodiment, according to the position of the target object, the movement of the drive box and the rotation of the shooting device are precisely controlled so that the shooting device is aimed at the target object, and automatic tracking and shooting of the target object is achieved to ensure the patrol effect.

[0058] Further, as a refinement and extension of the specific implementation methods of the above-mentioned embodiments, in order to fully illustrate the specific implementation process of this embodiment, the steps of determining the target angle and the target displacement according to the target object coordinates specifically include: determining the shooting distance between the drive box and the target object according to the drive box coordinates and the target object coordinates; if the shooting distance is greater than the preset distance, determining the difference vector from the drive box coordinates to the target object coordinates; determining the target displacement according to the direction and distance represented by the difference vector; identifying the position of the target object in the patrol data through a preset recognition algorithm, and determining the target angle through a preset rotation model according to the distance between the position of the target object in the patrol data and the patrol data center line.

[0059] In this example, the relative position of the camera device and the target object is used to accurately control the movement displacement of the drive box and the rotation angle of the shooting device, thereby improving the inspection efficiency and the quality of the inspection data.

[0060] Exemplarily, the coordinates of the target object are obtained in real time by a first positioning device disposed on the target object to determine the real-time position of the target object. Furthermore, the coordinates of the drive box are obtained in real time by a second positioning device disposed on the drive box to determine the real-time position of the camera device. The first positioning device and the second positioning device may be a GPS positioning device or a Beidou positioning device, or the drive box and the target object may be positioned according to an RSSI positioning algorithm.

[0061] Specifically, the shooting distance between the camera device and the target object is calculated according to the coordinates of the drive box and the coordinates of the target object. When the calculated shooting distance is greater than the preset distance, the position of the camera device is adjusted in time so that the camera device moves toward the target object until the distance between the camera device and the target object is less than or equal to the preset distance. The distance between the camera device and the target object is kept at the preset distance, and when the target object moves, the camera device can also automatically move with it, thereby realizing automatic tracking of the target object by the camera device.

[0062] The preset distance can be determined based on factors such as the performance parameters of the shooting device, the characteristics of the target object, or the shooting environment, so as to ensure that the shooting device can obtain the best shooting effect within the preset distance. For example, different preset distances are set according to shooting devices with different performances so that the shooting device can shoot clear and effective patrol data. Alternatively, if the detailed characteristics of the target object are very critical, a closer shooting distance is required to obtain sufficient information, and the preset distance should be set shorter.

[0063] Exemplarily, if the shooting distance is greater than the preset distance, the difference vector between the coordinates of the drive box and the coordinates of the target object is calculated, and the difference vector is the direction and distance from the position of the camera device to the position of the target object. The direction and distance indicated by the difference vector indicate the direction and distance that the drive box needs to move, thereby determining the target displacement, and then controlling the drive box to move on the linear track according to the target displacement.

[0064] Furthermore, the position of the target object in the patrol data can reflect the angle between the shooting device and the target object. Therefore, this embodiment ensures that the target object is within the optimal framing range of the shooting device by rotating the shooting angle of the shooting device, that is, the shooting device is aimed at the target object to shoot so that the target object is located at the center line position of the patrol data, thereby ensuring that clear and accurate patrol data is obtained.

[0065] Exemplarily, a rotation model is pre-established based on a fixed mapping relationship between the position of the target object in the patrol data and the distance between the patrol data center line and the rotation angle of the camera device. During the automatic tracking and shooting process, the position of the target object in the patrol data is identified in the patrol data by a preset recognition algorithm, and then, based on the position of the target object in the patrol data and the distance between the patrol data center line, the preset rotation model is used to determine the target angle that the camera device needs to rotate, so that the camera device is driven to rotate the target angle by controlling the rotating component.

[0066] It is worth mentioning that if it is necessary to inspect the target object at a fixed position, for example, the fixed distribution equipment in the scene in the distribution room, the camera device can be directly set at a preset key position in the distribution room, and only the rotating component can drive the shooting device to rotate the target angle, so that the shooting device 3 can be aimed at various distribution equipment and operation and maintenance personnel in the distribution room for precise shooting, avoiding the movement of the camera device affecting the normal operation of a large number of distribution equipment and distribution lines in the distribution room.

[0067] Exemplarily, the camera device uses a high-definition camera, and the camera device is set at a key position, such as a passage where people frequently enter and exit, the entrance and exit of the power distribution room, etc. And the camera device 3 is aimed at various power distribution equipment in the power distribution room to shoot, such as high-voltage switchgear, low-voltage power distribution cabinet, transformer, capacitor bank and other equipment, as well as their wiring terminals and operating status indicator lights.

[0068] Step 102: Control the camera device to capture patrol data of the distribution network area.

[0069] In the embodiment, different patrol operations can be performed according to the specific needs of the user or the preset patrol plan to meet the requirements of different scenes and tasks, thereby improving the patrol efficiency and the validity of the patrol data.

[0070] Specifically, a control instruction is generated according to the user's operation, and the control instruction includes but is not limited to the shooting cycle of the camera device, the target object to be shot, the type of data to be shot, etc., so that the camera device is controlled according to the control instruction to automatically shoot the patrol data of the distribution network area. Among them, the type of data shot includes image data and video data.

[0071] For example, the camera device is controlled to move on the rail to patrol the area outside the power distribution room, and the images of the overhead lines and cable equipment are captured in real time to obtain patrol data. Alternatively, the camera device located at a preset position is controlled to aim at various electrical equipment in the power distribution room, and the video is recorded in real time to obtain patrol data.

[0072] In one embodiment, target patrol data is screened from patrol data according to a preset rule, and the target patrol data is backed up and stored in a preset server, such as a cloud server.

[0073] Among them, the preset rules are specifically set according to the actual inspection scenarios, for example, video clips showing obvious faults in the distribution network, or video clips recording illegal intrusion into the distribution network area or someone destroying or stealing equipment.

[0074] Furthermore, as a refinement and expansion of the specific implementation methods of the above-mentioned embodiments, in order to fully illustrate the specific implementation process of this embodiment, the step of controlling the camera device to capture the patrol data of the distribution network area specifically includes: if it is detected that the light intensity in the distribution network area is less than a preset light intensity threshold, then controlling the night vision shooting equipment of the camera device to capture the patrol data of the distribution network area.

[0075] In this embodiment, the camera device has a night vision function, and can control the night vision shooting device 3 of the camera device to shoot patrol data of the distribution network area when detecting that the light intensity in the distribution network area is less than a preset light intensity threshold, thereby ensuring the validity of the patrol data.

[0076] In one embodiment, the distribution network operation and maintenance inspection method also includes: according to the collection cycle corresponding to the received control instruction, through the sensor device located at a preset position, collecting the operating status data of the distribution network area, and using the operating status data as inspection data; wherein the operating status includes at least voltage data, current data, temperature data and humidity data.

[0077] In this embodiment, the operating status of the distribution lines and distribution equipment in the distribution network area is monitored to ensure the normal operation of the distribution network.

[0078] For example, sensors with different functions are set at their corresponding preset positions to collect the operating status data of the distribution network area. For example, temperature sensors and humidity sensors are installed on the ceiling of the distribution room and inside various distribution cabinets, and current sensors and voltage sensors are installed on the distribution lines to collect temperature data, humidity data, voltage data and current data in the distribution network area. The operating status data is used as patrol data.

[0079] Among them, the operating status data of the distribution network area can be collected in real time to monitor the operating status of the distribution network in real time. Users can also set the corresponding collection cycle according to the actual patrol scene to collect the operating status data at intervals.

[0080] Step 103, determining the inspection result of the distribution network according to the inspection data, and visually displaying the inspection result.

[0081] Among them, the inspection results include suspected fault information and fault information of the distribution network.

[0082] In this embodiment, the inspection results of the distribution network are determined based on the multi-faceted inspection data in the distribution network area. The inspection results comprehensively and accurately reflect the actual situation of the distribution network, and the inspection results are visualized to facilitate users to promptly eliminate potential faults based on the displayed inspection results, ensure the safety of operation and maintenance personnel, and ensure the stable operation of the distribution network.

[0083] Further, as a refinement and extension of the specific implementation methods of the above-mentioned embodiments, in order to fully illustrate the specific implementation process of this embodiment, the patrol data includes image data and operating status data, and the steps of determining the patrol results of the distribution network according to the patrol data specifically include: preprocessing the image data and the operating status data; determining the suspected fault information of the distribution network according to the image recognition result of the preprocessed image data, and the comparison result between the preprocessed operating status data and the preset historical normal operating status data; wherein the suspected fault information includes suspected distribution equipment fault and suspected distribution line fault; comparing the patrol data of the detected suspected fault information with the preset threshold value corresponding to the suspected fault information; if the patrol data of the detected suspected fault information is greater than the preset threshold value, determining the fault information of the distribution network; wherein the fault information includes distribution equipment fault and distribution line fault.

[0084] In this embodiment, anomalies existing in the distribution network are intelligently detected based on patrol data, and accurate anomaly information, i.e. suspected fault information and fault information, is provided to locate and characterize faults in the distribution network in a timely and accurate manner, thereby providing an exact basis for taking maintenance and restoration measures and ensuring the safe and stable operation of the distribution network.

[0085] Specifically, the patrol data is preprocessed, wherein the patrol data includes image data and operation status data.

[0086] For example, the integrity and accuracy of patrol data are verified, noise and interference in patrol data are removed, patrol data from different sources are unified in format and standard, the quality and consistency of patrol data are improved, and a reliable data foundation is provided for subsequent intelligent detection.

[0087] Furthermore, suspected fault information of the distribution network is determined according to an image recognition result of the preprocessed image data.

[0088] Exemplarily, a data set containing a large amount of historical normal image data and historical suspected fault image data is obtained. The specific location of the suspected fault is marked in the historical suspected fault image data, and the preset deep learning model is trained using the marked data set, so that the preset deep learning model can learn the feature differences between the historical normal image data and the historical suspected fault image data, and continuously optimize the parameters of the preset deep learning model through methods such as cross-validation to improve the recognition accuracy. Among them, in the preprocessing of the image data, the image data can also be cropped, scaled and other preprocessing operations to improve the image recognition effect.

[0089] Furthermore, the pre-processed image data is subjected to feature extraction using the trained preset deep learning model. Then, based on the extracted feature information, the trained preset deep learning model can determine whether there is a suspected fault in the image data, determine the image recognition result, and mark the specific location of the suspected fault in the image data, thereby determining the suspected fault information of the image data.

[0090] Among them, suspected fault information includes suspected distribution equipment faults and suspected distribution line faults. For example, through image recognition of pre-processed image data, it is possible to identify whether there is oil seepage on the outer surface of the transformer tank, whether there are defects such as cracks, breakage or missing on the surface of the insulator, the color, texture and other characteristics of the distribution line, whether there is heat or discoloration at the connection of the distribution line, and whether the distribution line is damaged by external forces, such as fallen trees or vehicle collisions.

[0091] In addition, the suspected fault information of the distribution network is determined based on the comparison result between the preprocessed operating status data and the preset historical normal operating status data.

[0092] Exemplarily, a historical normal data set of preset historical normal operating status data is established, and the historical normal data set includes normal data ranges under different operating conditions, for example, different time periods, and different load conditions. The data corresponding to each characteristic parameter is extracted from the preprocessed operating status data, such as voltage data, current data, temperature data, humidity data, etc., and the data corresponding to the extracted characteristic parameter is compared with the target normal data range corresponding to the current operating condition in the historical normal data set. For example, the extracted voltage data is compared with the normal voltage range corresponding to the current operating condition. If the data corresponding to the extracted characteristic parameter does not match the target normal data range, the suspected fault information of the distribution network is determined, such as equipment overheating, voltage fluctuation, etc.

[0093] Furthermore, a corresponding preset threshold is set for the suspected fault information. If the patrol data of the suspected fault information detected is greater than the preset threshold, the fault information of the distribution network is determined.

[0094] For example, the fault information includes but is not limited to a transformer tank oil leakage fault, an insulator flashover fault, a distribution line disconnection fault, a poor contact fault or a short circuit fault, etc.

[0095] Furthermore, the inspection results are displayed visually, for example, a mobile or web operation interface is provided to the user, so that the user can browse the inspection results of the distribution network on the operation interface.

[0096] In one embodiment, the distribution network operation and maintenance inspection method also includes: obtaining user login information; if the login information meets the preset valid information, receiving a control instruction; controlling the on and off of the distribution equipment in the distribution network area according to the control instruction, and / or adding or deleting distribution equipment in a preset database corresponding to the distribution network area according to the control instruction, and / or modifying the attribute information of the distribution equipment in the preset database according to the control instruction.

[0097] In the embodiment, through effective equipment management and control, the distribution network resources can be more reasonably allocated and utilized, and the operation efficiency and reliability of the power grid can be improved. The centralized control and management method reduces the tediousness and errors of manual operation and improves the overall efficiency and accuracy of distribution network operation and maintenance management.

[0098] Specifically, by obtaining user login information and verifying whether it conforms to the preset valid information, it is ensured that only authorized personnel can send control instructions, thereby preventing unauthorized operations and ensuring the security of distribution network operation and maintenance. In addition, the on-off control and parameter adjustment of distribution equipment are performed remotely without the need for on-site operation, which improves the efficiency and convenience of operation and maintenance, especially in emergency situations. At the same time, adding or deleting distribution equipment in the preset database corresponding to the distribution network area helps to update the architecture and equipment composition of the distribution network in a timely manner to adapt to new construction or demolition situations. In addition, modify the attribute information of the distribution network equipment in the preset database to ensure that the equipment information in the database is accurate and complete, providing a reliable basis for subsequent operation and maintenance decisions and data analysis.

[0099] Furthermore, fault information, such as fault cause, fault time, fault location, repair time, and repair method, can be recorded in a preset database to trace the repair process and provide a reference for future operation and maintenance inspections.

[0100] For example, the operation and maintenance personnel can enter login information, such as an account number and password, in the operation interface. If the login information meets the preset valid information, the user ID of the operation and maintenance personnel is determined, and the mapping relationship between the user ID and the distribution network list is pre-stored or pre-configured in the preset database, so that the target distribution network list associated with the user ID of the operation and maintenance personnel is determined according to the mapping relationship, thereby realizing remote control, equipment management, maintenance records, etc. of the target distribution network.

[0101] In one embodiment, the distribution network operation and maintenance inspection method also includes: predicting the performance of the distribution network within the target period through a preset prediction model based on the inspection data, and determining the predicted performance change trend data of the distribution network; determining the suspected fault information and fault information of the distribution network within the target period based on the predicted performance change trend data.

[0102] In an embodiment, the future performance trend and possible fault points of the distribution network are predicted based on the current patrol data through a preset prediction model to avoid the occurrence of faults or reduce the impact caused by the faults.

[0103] Exemplarily, the patrol data is classified according to preset time nodes, and the current performance change trend data of the distribution network is generated according to the preset time nodes. The preset historical normal patrol data, the preset historical suspected fault patrol data and the preset historical fault patrol data are used to train and optimize the preset prediction model, and the parameters of the preset prediction model are adjusted to improve the prediction accuracy. According to the current performance change trend data of the distribution network, the performance of the distribution network in the future (target period) is predicted using the trained preset prediction model to generate predicted performance change trend data.

[0104] Furthermore, based on the comparison results of the predicted performance change trend data with the preset historical suspected fault inspection data and the preset historical fault inspection data, the suspected fault information and fault information of the distribution network within the target period are predicted, so as to specify a preventive protection plan and arrange maintenance and replacement work in advance to reduce the occurrence of faults and mitigate their impact.

[0105] In one embodiment, the distribution network operation and maintenance inspection method also includes: comparing the inspection data of the detected fault information with multiple preset historical fault ranges; determining the risk level of the fault information based on the preset risk level corresponding to the target preset historical fault range that matches the fault information, and determining the warning information based on the preset information corresponding to the target preset historical fault range, and displaying the warning information.

[0106] In this embodiment, the risk level of the distribution network fault is evaluated, the severity and potential risk of the fault are accurately determined, and early warning information is generated and displayed in a timely manner to help operation and maintenance personnel take timely measures to avoid the expansion of the fault, reduce losses, and improve the reliability of operation and maintenance.

[0107] Exemplarily, a large amount of preset historical fault inspection data is classified and sorted according to preset fault severity, such as minor, medium, and severe. A statistical distribution map of fault severity is established based on the sorted preset historical fault inspection data. The correspondence between the preset historical fault range and the fault severity is divided according to the statistical distribution curve. For example, based on the shape and data distribution of the statistical distribution curve, a natural dividing point is identified, such as an obvious fault or distribution tail. And the risk level is determined according to the preset fault severity, such as the risk level is determined to be low, medium, and high according to the preset fault severity of minor, medium, and severe.

[0108] Further, the patrol data of the detected fault information is compared with a plurality of preset historical fault ranges. The risk level of the fault information is determined according to the preset risk level corresponding to the target preset historical fault range that matches the fault information, and the preset information corresponding to the target preset historical fault range is determined as warning information, and the warning information is displayed.

[0109] Among them, the preset information corresponding to the preset risk level is specifically set according to the actual inspection scenario. For example, the preset information can briefly describe the nature and impact of the fault, possible repair methods, required resources, etc.

[0110] It should be noted that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0111] Furthermore, if Figure 2 As shown, as a specific implementation of the above-mentioned distribution network operation and maintenance inspection method, an embodiment of the present application provides a distribution network operation and maintenance inspection system 200, and the distribution network operation and maintenance inspection system 200 includes: a control module 201 and a determination module 202.

[0112] Among them, the control module 201 is used to control the movement of the camera device when the target object is detected in the distribution network area so that the target object is located in the field of view of the camera device; and to control the camera device to capture the patrol data of the distribution network area; the determination module is used to determine the patrol results of the distribution network based on the patrol data, and to visualize the patrol results; wherein the patrol results include suspected fault information and fault information of the distribution network.

[0113] In one embodiment, the control module 201 is specifically used to: determine the target angle and the target displacement according to the target object coordinates; control the driving box to move on the linear rail according to the target displacement, and control the rotating component to drive the shooting device to rotate the target angle.

[0114] In one embodiment, the control module 201 is specifically used to: determine the shooting distance between the drive box and the target object based on the drive box coordinates and the target object coordinates; if the shooting distance is greater than a preset distance, determine the difference vector from the drive box coordinates to the target object coordinates; determine the target displacement based on the direction and distance represented by the difference vector; identify the position of the target object in the patrol data through a preset recognition algorithm, and determine the target angle through a preset rotation model based on the distance between the position of the target object in the patrol data and the patrol data center line.

[0115] In one embodiment, the distribution network operation and maintenance inspection system further includes:

[0116] The acquisition module is used to collect the operating status data of the distribution network area through the sensor device located at a preset position according to the acquisition cycle corresponding to the received control instruction, and use the operating status data as patrol data; wherein the operating status at least includes voltage data, current data, temperature data and humidity data.

[0117] In one embodiment, the determination module 202 is specifically used to preprocess the image data and the operating status data; determine the suspected fault information of the distribution network based on the image recognition result of the preprocessed image data, and the comparison result of the preprocessed operating status data with the preset historical normal operating status data; wherein the suspected fault information includes suspected distribution equipment fault and suspected distribution line fault; compare the patrol data of the detected suspected fault information with the preset threshold value corresponding to the suspected fault information; if the patrol data of the detected suspected fault information is greater than the preset threshold value, determine the fault information of the distribution network; wherein the fault information includes distribution equipment fault and distribution line fault.

[0118] In one embodiment, the distribution network operation and maintenance inspection system further includes:

[0119] The prediction module is used to predict the performance of the distribution network within the target period based on the patrol data through a preset prediction model, and determine the predicted performance change trend data of the distribution network; determine the suspected fault information and fault information of the distribution network within the target period based on the predicted performance change trend data.

[0120] In one embodiment, the distribution network operation and maintenance inspection system further includes:

[0121] The display module is used to compare the patrol data of the detected fault information with multiple preset historical fault ranges; determine the risk level of the fault information according to the preset risk level corresponding to the target preset historical fault range that matches the fault information, and determine the warning information according to the preset information corresponding to the target preset historical fault range, and display the warning information.

[0122] In one embodiment, the distribution network operation and maintenance inspection system further includes:

[0123] A login module is used to obtain the user's login information; if the login information meets the preset valid information, a control instruction is received; the on and off of the distribution equipment in the distribution network area is controlled according to the control instruction, and / or the distribution equipment is added or deleted in the preset database corresponding to the distribution network area according to the control instruction, and / or the attribute information of the distribution equipment is modified in the preset database according to the control instruction.

[0124] In one embodiment, the control module 201 is specifically used to: if it is detected that the light intensity in the distribution network area is less than a preset light intensity threshold, control the night vision shooting device 3 of the camera device to shoot patrol data of the distribution network area.

[0125] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform, or the embodiments of the present application can be implemented by hardware.

[0126] Those skilled in the art will appreciate that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily necessary for implementing the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario can be distributed in the devices of the implementation scenario according to the description of the implementation scenario, or can be changed accordingly and located in one or more devices different from the present implementation scenario. The modules of the above-mentioned implementation scenario can be combined into one module, or can be further split into multiple submodules.

[0127] The above serial numbers of this application are only for description and do not represent the advantages and disadvantages of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of this application, but this application is not limited to them, and any changes that can be thought of by technicians in this field should fall within the scope of protection of this application.

Claims

1. A distribution network operation and maintenance inspection method, characterized in that: The method comprises: When a target object is detected in the power distribution network area, controlling the camera device to move so that the target object is located in the field of view of the camera device; Controlling the camera device to capture patrol data of the distribution network area; The inspection result of the distribution network is determined according to the inspection data, and the inspection result is visualized; wherein the inspection result includes suspected fault information and fault information of the distribution network.

2. The distribution network operation and maintenance inspection method according to claim 1, characterized in that: The camera device includes a rotating assembly, a shooting device, and a driving box arranged on the linear track of the power distribution network area, the driving box and the shooting device are respectively connected to two sides of the rotating assembly, and the driving box is provided with a transmission assembly and a driving assembly connected to each other; The controlling the camera device to move comprises: Determining a target angle and a target displacement according to the target object coordinates; The driving box is controlled to move on the linear rail according to the target displacement, and the rotating assembly is controlled to drive the shooting device to rotate to the target angle.

3. The distribution network operation and maintenance inspection method according to claim 2, characterized in that: Determining the target angle and the target displacement according to the target object coordinates includes: Determining a shooting distance between the driving box and the target object according to the driving box coordinates and the target object coordinates; If the shooting distance is greater than a preset distance, determining a difference vector from the coordinates of the driving box to the coordinates of the target object; Determine the target displacement according to the direction and distance represented by the difference vector; The position of the target object in the patrol data is identified by a preset recognition algorithm, and the target angle is determined by a preset rotation model according to the distance between the position of the target object in the patrol data and the patrol data center line.

4. The distribution network operation and maintenance inspection method according to claim 1, characterized in that: The method further comprises: According to the collection cycle corresponding to the received control instruction, the operating status data of the distribution network area is collected through the sensor device located at a preset position, and the operating status data is used as the patrol data; wherein the operating status includes at least voltage data, current data, temperature data and humidity data.

5. The distribution network operation and maintenance inspection method according to claim 4, characterized in that: The inspection data includes image data and operation status data, and determining the inspection result of the distribution network according to the inspection data includes: Preprocessing the image data and the operating status data; Determine the suspected fault information of the distribution network according to the image recognition result of the preprocessed image data and the comparison result of the preprocessed operating status data with the preset historical normal operating status data; wherein the suspected fault information includes suspected distribution equipment fault and suspected distribution line fault; comparing the patrol data detecting the suspected fault information with a preset threshold value corresponding to the suspected fault information; If it is detected that the patrol data of the suspected fault information is greater than the preset threshold, the fault information of the distribution network is determined; wherein the fault information includes distribution equipment fault and distribution line fault.

6. The distribution network operation and maintenance inspection method according to claim 1, characterized in that: The method further comprises: Predicting the performance of the distribution network within a target period using a preset prediction model according to the patrol data, and determining predicted performance change trend data of the distribution network; The suspected fault information and the fault information of the distribution network within the target period are determined according to the predicted performance change trend data.

7. The distribution network operation and maintenance inspection method according to claim 1, characterized in that: The method further comprises: Comparing the patrol data of the detected fault information with a plurality of preset historical fault ranges; The risk level of the fault information is determined according to the preset risk level corresponding to the target preset historical fault range that matches the fault information, and the warning information is determined according to the preset information corresponding to the target preset historical fault range, and the warning information is displayed.

8. The distribution network operation and maintenance inspection method according to claim 1, characterized in that: The method further comprises: Get the user's login information; If the login information matches the preset valid information, receiving the control instruction; The on and off of the power distribution equipment in the distribution network area is controlled according to the control instruction, and / or the power distribution equipment is added or deleted in a preset database corresponding to the distribution network area according to the control instruction, and / or the attribute information of the power distribution equipment is modified in the preset database according to the control instruction.

9. The distribution network operation and maintenance inspection method according to claim 1, characterized in that: The controlling the camera device to capture patrol data of the distribution network area includes: If it is detected that the light intensity in the distribution network area is less than a preset light intensity threshold, the night vision shooting device of the camera device is controlled to shoot the patrol data of the distribution network area.

10. A distribution network operation and maintenance inspection system, characterized in that: The device comprises: a control module, configured to control the camera to move when a target object is detected in the power distribution network area, so that the target object is located in the field of view of the camera; and Controlling the camera device to capture patrol data of the distribution network area; A determination module is used to determine the inspection results of the distribution network according to the inspection data, and to visualize the inspection results; wherein the inspection results include suspected fault information and fault information of the distribution network.

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