Intelligent inspection analysis platform for high-altitude equipment of power distribution network
The intelligent inspection and analysis platform for high-altitude equipment in power distribution networks utilizes inspection drones and image processing technology to achieve automated and accurate fault detection of power distribution equipment. This solves the problems of low efficiency and poor safety of traditional manual inspections, and improves the safety and convenience of inspections.
Patent Information
- Application Number
- CN202511544412.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-28
- Publication Date
- 2026-02-27
AI Technical Summary
Traditional inspection of high-altitude equipment in power distribution networks relies on manual operation, which is labor-intensive, inefficient, and unsafe. In particular, in harsh environments, inspectors face danger and safety cannot be guaranteed.
An intelligent inspection and analysis platform for high-altitude equipment in power distribution networks is adopted, including an inspection control system, an image transmission and processing system, and a fault hazard analysis system. It utilizes inspection drones for automated inspections and combines remote sensing monitoring, image fusion, 3D imaging, and fault analysis to achieve accurate detection and fault identification of power distribution equipment.
It enables efficient and safe inspection of power distribution equipment, improves the accuracy and ease of operation of inspection, reduces the intensity of manual labor, and ensures the safety of inspection personnel.
Smart Images
Figure CN121581833A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of distribution network equipment inspection, and particularly relates to a power distribution network high-altitude equipment intelligent inspection analysis platform. BACKGROUND
[0002] The distribution network refers to a power network that accepts electric energy from a power transmission network or a regional power plant, distributes the electric energy locally or step by step according to voltage to various users through distribution facilities, is composed of overhead lines, cables, towers, distribution transformers, disconnectors, reactive compensators and some auxiliary facilities, and plays an important role in distributing electric energy in the power network. The distribution network line and equipment are generally exposed outdoors, and are inevitably affected by the natural environment and the social environment during operation. In particular, extreme weather such as lightning and storms may damage or destroy the distribution network equipment or cause electric shock accidents. At the same time, problems such as human theft, random wiring and intentional damage may also affect the normal operation of the distribution equipment and even cause safety accidents. Therefore, the distribution network line and equipment need to be regularly inspected. The traditional power inspection method usually relies on manual inspection and equipment detection. In the specific operation, the labor intensity of the staff is large, the work is time-consuming, the inspection efficiency is low, and the personal safety of the inspection personnel cannot be guaranteed in the case of harsh external environment and high-altitude operation, which has great danger. Therefore, in order to solve the above problems, it is necessary to develop a safe and convenient operation and accurate and efficient power distribution network high-altitude equipment intelligent inspection analysis platform. SUMMARY
[0003] The application aims to overcome the deficiencies of the prior art and provide a safe and convenient operation and accurate and efficient power distribution network high-altitude equipment intelligent inspection analysis platform.
[0004] The purpose of the application is achieved in that: a power distribution network high-altitude equipment intelligent inspection analysis platform, comprising an inspection control system, an image transmission processing system and a fault hidden danger analysis system, the inspection control system comprises an inspection task receiving module, an inspection plan compilation module, a work order generation module, a control and operation module and an inspection unmanned aerial vehicle, wherein the inspection task receiving module is used for receiving the inspection task, and based on the inspection task, the inspection area is divided, and the inspection plan compilation module is controlled to compile the inspection plan, the work order generation module is used for generating the inspection work order, and the control and operation module can guide and control the inspection unmanned aerial vehicle based on the inspection work order, so that the inspection unmanned aerial vehicle performs on-site inspection operation according to the inspection route within the specified time; the inspection unmanned aerial vehicle is the on-site executor of the inspection operation, and the outside is provided with a remote sensing monitoring component and a main control unit, wherein the remote sensing monitoring module is composed of a plurality of camera components, the camera components can be used to shoot the running state of the power distribution equipment to be inspected during the flight of the inspection unmanned aerial vehicle, and the running data of the power distribution equipment can be collected by shooting the instrument; the main control unit can be used to control and adjust the flight state of the inspection unmanned aerial vehicle and the shooting direction of the camera component; The image transmission processing system comprises an information transmission module, an image fusion module and a three-dimensional imaging module, wherein the information transmission module can be used for wireless transmission of the image data shot by the inspection unmanned aerial vehicle and the collected data, the image fusion module can fuse the images based on the comprehensive background features and the comprehensive detail features of the images to form a preliminary fusion image, then sequentially perform wavelet down-sampling processing and wavelet up-sampling processing on the preliminary fusion image to obtain a final fusion image, then obtain the attention weight matrix corresponding to the final fusion image, and perform weighted calculation by using the attention weight matrix to obtain visual feature data; the three-dimensional imaging module can perform three-dimensional reconstruction of the power distribution equipment in the inspection area based on the final fusion image and by using virtual reality, three-dimensional map technology, digital twin semantic map and cloud computing edge computing technology, so as to form a three-dimensional visual image; The fault hazard analysis system includes a comprehensive analysis and processing module, an alert module, a marking module, and a recording module. The comprehensive analysis and processing module extracts time and location feature data of the distribution network settings from a 3D visualization image. After extraction, it uses visual feature data, along with the time and location feature data, to quantitatively analyze the operating status of the distribution network equipment, obtaining corresponding quantitative values. Based on these values, it determines whether a fault has occurred in the distribution network equipment. The alert module activates after the comprehensive analysis and processing module determines a fault in the distribution network equipment and sends an alert signal to the control terminal. The marking module determines the location information of the faulty equipment and marks it in the 3D visualization image. The recording module integrates and records the information of the faulty equipment for subsequent manual verification by operators.
[0005] Furthermore, the inspection work order contains the following information: inspection route, inspection start time, inspection end time, inspection team, and the model of the inspection drone.
[0006] Furthermore, the front end of the inspection drone is equipped with a detection component and an obstacle avoidance component. The detection component is used to detect obstacles on the movement path of the inspection drone, and the obstacle avoidance component can automatically adjust the lift and movement direction of the inspection drone through the main control module based on the data from the detection component.
[0007] Furthermore, the fault hazard analysis system is externally connected to a display component, which can be used to display three-dimensional visualization images.
[0008] Furthermore, the fault hazard analysis system also includes an operation and maintenance module. After manual review, the operation and maintenance module can generate a maintenance work order and dispatch it to the mobile terminal of the operation and maintenance personnel.
[0009] Furthermore, the warning module can send warning signals to the control terminal at preset intervals. If it receives a confirmation feedback instruction from the operation terminal, it will stop sending; otherwise, it will continue sending.
[0010] The beneficial effects of the present application are as follows: by setting the inspection control system, the inspection plan and the inspection operation work order can be prepared and generated by the cooperation of the inspection task receiving module, the inspection plan compiling module and the work order generating module, the inspection unmanned aerial vehicle can be guided and controlled according to the inspection operation work order by the control and operation module, the inspection unmanned aerial vehicle can perform on-site inspection operation according to the inspection route within the specified time, and the operation state of the distribution network equipment to be inspected can be photographed while the inspection unmanned aerial vehicle is flying, and the distribution network equipment operation data can be collected by photographing the instruments through the cooperation of the remote sensing monitoring assembly and the main control unit. By setting the image processing system, the image data photographed by the inspection unmanned aerial vehicle and the collected data can be wirelessly transmitted by the setting of the information transmission module, the final fusion image can be obtained based on the comprehensive background features and comprehensive detail features of the image, wavelet down-sampling processing and wavelet up-sampling processing by the setting of the image fusion module, then the attention weight matrix corresponding to the final fusion image is obtained, and the visual feature data is obtained by weighted calculation using the attention weight matrix; by setting the three-dimensional imaging module, the three-dimensional reconstruction of the distribution equipment in the inspection area can be performed based on the final fusion image and by using virtual reality, three-dimensional map technology, digital twin semantic map and cloud computing edge computing technology, thereby forming a three-dimensional visualization image, and this structure can facilitate the operator to more directly observe the state of the distribution network equipment. By setting the fault hidden danger analysis system, the time feature data and the position feature data of the distribution network equipment can be extracted from the three-dimensional visualization image by the setting of the comprehensive analysis processing module, and after the extraction is completed, the operation state of the distribution network equipment is quantitatively analyzed by using the visual feature data in cooperation with the time feature data and the position feature data, thereby obtaining the corresponding quantitative value, and then whether the power distribution network equipment has a fault is determined according to the quantitative value, and this structure can increase the accuracy and speed of the detection operation; the warning unit can send a warning signal to the control end after the comprehensive analysis processing module determines that the power distribution network equipment has a fault, the marking module can mark the fault equipment in the three-dimensional visualization image to facilitate the operator to clearly and intuitively view, and the recording module can integrate and record the information of the fault equipment. In general, the present application has the advantages of safe, convenient, accurate and efficient operation. BRIEF DESCRIPTION OF DRAWINGS
[0011] Figure 1 is a structural schematic diagram of the present application. DETAILED DESCRIPTION
[0012] The present application will be further described below with reference to the accompanying drawings.
[0013] Embodiment: as Figure 1As shown, an intelligent inspection and analysis platform for high-altitude equipment of a power distribution network includes an inspection control system, an image transmission and processing system, and a fault and hidden danger analysis system. The inspection control system includes an inspection task receiving module, an inspection plan compilation module, a work order generation module, a control and operation module, and an inspection unmanned aerial vehicle. The inspection task receiving module is used to receive an issued inspection task and, based on the inspection task, divide an inspection area while controlling the inspection plan compilation module to compile an inspection plan. The work order generation module is used to generate an inspection work order, which includes the following information: an inspection line, an inspection start time, an inspection end time, an inspection execution team, and a model of the inspection unmanned aerial vehicle. The control and operation module can guide and control the inspection unmanned aerial vehicle based on the inspection work order, so that the inspection unmanned aerial vehicle performs on-site inspection operations according to the inspection route within a specified time. The inspection unmanned aerial vehicle is an on-site executor of the inspection operations, and externally carries a remote sensing monitoring component and a main control unit. The remote sensing monitoring module is composed of multiple camera components, which can capture the operating state of the power distribution network equipment to be inspected while the inspection unmanned aerial vehicle is flying, and can also collect power distribution network equipment operating data by capturing instruments. The main control unit can be used to control and adjust the flight state of the inspection unmanned aerial vehicle and the shooting direction of the camera components. The image transmission and processing system includes an information transmission module, an image fusion module, and a three-dimensional imaging module. The information transmission module can be used to wirelessly transmit image data captured by the inspection unmanned aerial vehicle and collected data. The image fusion module can fuse images based on comprehensive background features and comprehensive detail features to form a preliminary fusion image, then sequentially perform wavelet down-sampling processing and wavelet up-sampling processing on the preliminary fusion image to obtain a final fusion image, then obtain an attention weight matrix corresponding to the final fusion image and perform weighted calculation using the attention weight matrix to obtain visual feature data. The three-dimensional imaging module can perform three-dimensional reconstruction of power distribution equipment in an inspection area based on the final fusion image and using virtual reality, three-dimensional map technology, digital twin semantic map, and cloud computing edge computing technology to form a three-dimensional visual image. The fault hidden danger analysis system comprises a comprehensive analysis processing module, a warning module, a marking module and a recording module, the comprehensive analysis processing module can extract time characteristic data and position characteristic data of distribution network setting according to three-dimensional visual image, and after extraction is completed, the operation state of distribution network equipment is quantitatively analyzed by using visual characteristic data, time characteristic data and position characteristic data, so that corresponding quantitative value is obtained, then whether the distribution network equipment appears fault is determined according to the quantitative value; the warning module can be started after the comprehensive analysis processing module determines that the distribution network equipment appears fault, and sends a warning signal to the control end according to the preset interval time, if the confirmation feedback instruction from the operation end is received, the sending is stopped, otherwise the sending is continued; the marking module can determine the position information of the fault equipment after the comprehensive analysis processing module determines that the distribution network equipment appears fault, and mark the fault equipment on the three-dimensional visual image; the recording module can integrate and record the information of the fault equipment, so that subsequent operation personnel can manually review the data, and the fault hidden danger analysis system is externally connected with a display component, and the three-dimensional visual image can be displayed by using the display component; the fault hidden danger analysis system further comprises an operation and maintenance module, the operation and maintenance module can generate a maintenance work order after manual review is completed, and the maintenance work order is distributed to the mobile terminal of the operation and maintenance personnel.
[0014] The front end of the inspection unmanned plane is provided with a detection component and an obstacle avoidance component, wherein the detection component is used for detecting obstacles on the moving route of the inspection unmanned plane, and the obstacle avoidance component can automatically adjust the lift and moving direction of the inspection unmanned plane through the main control module based on the data of the detection component.
[0015] The application, in use, first, receives the inspection task issued by using the inspection task receiving module, and based on the inspection task, divides the inspection area and controls the inspection plan compiling module to compile the inspection plan, then, based on the inspection plan, generates the inspection work order by using the work order generating module, wherein the inspection work order internally contains the following information: inspection route, inspection start time, inspection end time, inspection execution team and the model of the inspection unmanned aerial vehicle; after that, by controlling and operating the module and based on the inspection work order, the inspection unmanned aerial vehicle is guided and controlled, so that the inspection unmanned aerial vehicle performs the on-site inspection operation according to the inspection route within the specified time; in the inspection process of the inspection unmanned aerial vehicle, the external main control unit can control and adjust the flight state of the inspection unmanned aerial vehicle and the shooting direction of the camera assembly; by adjusting the inspection unmanned aerial vehicle and the camera assembly, the shooting of the operation state of the to-be-inspected power distribution equipment and the collection of the operation data are completed by using the camera assembly; and in the process, the detection assembly arranged at the front end of the inspection unmanned aerial vehicle can detect the obstacles on the moving route of the inspection unmanned aerial vehicle, and the obstacle avoidance assembly can automatically adjust the lift and moving direction of the inspection unmanned aerial vehicle based on the data of the detection assembly, so as to realize the automatic obstacle avoidance of the inspection unmanned aerial vehicle; After the inspection is completed, the image data and the collected data are transmitted to the image fusion module by the information transmission module through wireless transmission, so that the image fusion module is used to fuse the images based on the comprehensive background features and the comprehensive detail features of the images, to form a preliminary fusion image, and then the preliminary fusion image is sequentially subjected to wavelet down-sampling processing and wavelet up-sampling processing, so as to obtain a final fusion image, in which process, the attention weight matrix corresponding to the final fusion image is obtained, and the visual feature data is obtained by weighting calculation using the attention weight matrix; then, the three-dimensional imaging module is used to perform three-dimensional reconstruction of the distribution equipment in the inspection area based on the final fusion image, using virtual reality, three-dimensional map technology, digital twin semantic map and cloud computing edge computing technology, so as to form a three-dimensional visualization image, the structure of the present application can facilitate the operator to more directly observe the state of the distribution network equipment; finally, the time feature data and the position feature data of the distribution network are extracted from the three-dimensional visualization image by the comprehensive analysis processing module, and after the extraction is completed, the running state of the distribution network equipment is quantitatively analyzed by the visual feature data, the time feature data and the position feature data, so as to obtain the corresponding quantitative value, and then whether the distribution network equipment fails is determined according to the quantitative value, the structure of the present application can increase the accuracy and speed of the detection operation; at this time, when the comprehensive analysis processing module determines that the distribution network equipment fails, the warning module is triggered to send a warning signal to the control end at a preset interval, if a confirmation feedback instruction is received from the operation end, the sending is stopped, otherwise the sending is continued, and in the process, the fault equipment is marked in the three-dimensional visualization image by the marking module, so that the operator can clearly and intuitively view; after the above operation is completed, the information of the fault equipment is integrated and recorded by the recording module, so that the subsequent operator can manually review the data, and after the manual review is completed, the maintenance work order is generated by the operation and maintenance module and is distributed to the mobile terminal of the operation and maintenance personnel; in general, the present application has the advantages of safe, convenient and accurate operation.
[0016] The above embodiments are only used to illustrate the technical solutions of the present application but not limit it, although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific embodiments of the present application can be modified or replaced equivalently without departing from the spirit and scope of the present application, any modification or equivalent replacement without departing from the spirit and scope of the present application should be covered in the scope of the claims of the present application.
Claims
1. An intelligent inspection and analysis platform for high-altitude equipment in power distribution networks, comprising an inspection and control system, an image transmission and processing system, and a fault and potential hazard analysis system, characterized in that: The inspection control system includes an inspection task receiving module, an inspection plan preparation module, a work order generation module, a control and operation module, and an inspection drone. The inspection task receiving module receives inspection tasks, divides inspection areas based on these tasks, and controls the inspection plan preparation module to prepare inspection plans. The work order generation module generates inspection work orders. The control and operation module guides and controls the inspection drone based on the inspection work orders, enabling the drone to perform on-site inspections according to a specified route within a specified time. The inspection drone is the on-site executor of the inspection operations. It is equipped with remote sensing monitoring components and a main control unit. The remote sensing monitoring module consists of multiple camera components. These cameras can capture images of the operating status of the power distribution network equipment during the drone's flight, and also collect data on the equipment's operation by photographing instruments. The main control unit controls and adjusts the drone's flight status and the camera's shooting direction. The image transmission and processing system includes an information transmission module, an image fusion module, and a 3D imaging module. The information transmission module can wirelessly transmit images and data captured by the inspection drone. The image fusion module can fuse images based on comprehensive background and detail features to form a preliminary fused image. Then, wavelet downsampling and wavelet upsampling are performed on the preliminary fused image to obtain the final fused image. Finally, the attention weight matrix corresponding to the final fused image is obtained, and weighted calculations are performed using the attention weight matrix to obtain visual feature data. The 3D imaging module can use the final fused image and employ virtual reality, 3D map technology, digital twin semantic map, and cloud computing edge computing technology to perform 3D reconstruction of power distribution equipment within the inspection area, thereby forming a 3D visualization image. The fault hazard analysis system includes a comprehensive analysis and processing module, an alert module, a marking module, and a recording module. The comprehensive analysis and processing module extracts time and location feature data of the distribution network settings from a 3D visualization image. After extraction, it uses visual feature data, along with the time and location feature data, to quantitatively analyze the operating status of the distribution network equipment, obtaining corresponding quantitative values. Based on these values, it determines whether a fault has occurred in the distribution network equipment. The alert module activates after the comprehensive analysis and processing module determines a fault in the distribution network equipment and sends an alert signal to the control terminal. The marking module determines the location information of the faulty equipment and marks it in the 3D visualization image. The recording module integrates and records the information of the faulty equipment for subsequent manual verification by operators.
2. The intelligent inspection and analysis platform for high-altitude equipment in power distribution networks as described in claim 1, characterized in that: The inspection work order contains the following information: inspection route, inspection start time, inspection end time, inspection team, and the model of the inspection drone.
3. The intelligent inspection and analysis platform for high-altitude equipment in power distribution networks as described in claim 1, characterized in that: The inspection drone is equipped with a detection component and an obstacle avoidance component at its front end. The detection component is used to detect obstacles in the movement path of the inspection drone, and the obstacle avoidance component can automatically adjust the lift and movement direction of the inspection drone based on the data from the detection component through the main control module.
4. The intelligent inspection and analysis platform for high-altitude equipment in power distribution networks as described in claim 1, characterized in that: The fault hazard analysis system is connected to an external display component, which can be used to display three-dimensional visualization images.
5. The intelligent inspection and analysis platform for high-altitude equipment in power distribution networks as described in claim 1, characterized in that: The fault hazard analysis system also includes an operation and maintenance module. After manual review, the operation and maintenance module can generate a maintenance work order and send it to the mobile terminal of the operation and maintenance personnel.
6. The intelligent inspection and analysis platform for high-altitude equipment in power distribution networks as described in claim 1, characterized in that: The warning module can send warning signals to the control terminal at preset intervals. If it receives a confirmation feedback instruction from the operation terminal, it will stop sending; otherwise, it will continue sending.