Power transmission line inspection system based on multi-source data
By setting up multi-source data acquisition units in the transmission line corridor to collect and process multiple data types, the problem that traditional manual inspection cannot be fully covered is solved, and efficient and accurate transmission line inspection is achieved.
Patent Information
- Application Number
- CN202410133830.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-31
- Publication Date
- 2025-04-01
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional manual inspection cannot achieve comprehensive inspection of power lines in complex geographical environments. There are blind spots in inspections, low efficiency and accuracy, and high manual labor intensity.
A transmission line inspection system based on multi-source data is adopted. By setting up a multi-source data acquisition unit in the transmission line corridor, visible light image and video data, infrared thermal image data, ultraviolet imaging image data, noise data and meteorological data are collected, and data processing and analysis are transmitted to the main control unit through a wireless communication module.
The comprehensive coverage of transmission lines has been achieved, the inspection efficiency has been improved, the labor intensity and operation risks of staff have been reduced, and the data timeliness has been improved.
Smart Images

Figure CN119742683A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of power transmission line inspection, and in particular relates to a power transmission line inspection system based on multi-source data. Background Art
[0002] With the implementation of the power transmission network construction project, the number of transmission lines has increased dramatically, and the workload of line maintenance has increased dramatically. Due to the complex geographical environment and changeable climatic conditions, traditional manual inspection operations cannot achieve comprehensive inspections of power lines. There may be negligence and omissions in the inspection of some equipment. It is difficult to manually check the lines in mountainous areas with complex geographical environments, and blind spots in power line inspections are prone to occur. The inspection efficiency and accuracy are low, and the labor intensity is high.
[0003] Therefore, in the existing technology, there is a way to use drones to replace manual inspections. However, due to the large number of transmission lines and the great impact of environmental changes, there are problems such as untimely updating of equipment operation and maintenance data, single overall data information, and insufficient information coverage, which cannot meet the needs of accurate and real-time power inspections.
[0004] Therefore, in order to solve the above problems, it is necessary to develop a transmission line inspection system based on multi-source data. Summary of the invention
[0005] The purpose of the present invention is to overcome the shortcomings of the prior art and to provide a transmission line inspection system based on multi-source data, collect multi-source data of the transmission line, improve the transmission line data information, achieve comprehensive coverage of the transmission line operation status information, and improve the inspection efficiency.
[0006] The object of the present invention is achieved as follows: a transmission line inspection system based on multi-source data, comprising a multi-source data acquisition unit arranged along a transmission line corridor, wherein the data collected by the multi-source data acquisition unit includes visible light images and video data taken by a monitoring system distributed in key areas and key positions of key lines along the transmission line corridor and a high-definition visible light camera mounted on an unmanned aerial vehicle, It also includes infrared thermal image data detected by the infrared thermal imaging detection module mounted on the drone. And the ultraviolet imaging data obtained by the ultraviolet detection module carried on the drone, And the noise data obtained by the noise monitoring modules distributed in key areas and key locations along the transmission line corridors, and meteorological data collected by micro-meteorological online monitoring devices distributed along the transmission line corridors; The multi-source data acquisition unit is also connected to a data transmission unit, which is implemented by a wireless communication module. The data transmission unit is connected to a main control unit, which is used for flight control of the UAV and data transfer. The main control unit is connected to a data storage unit, a data processing unit, a fault analysis and prediction unit, a patrol alarm unit and a power transmission line visualization unit; The data storage unit realizes unified collection, storage, calculation and backup of data by establishing a relational database, a distributed non-relational database, a distributed file and a distributed calculation; The data processing unit includes an image data fusion module and a noise recognition module. The image data fusion module analyzes, processes and fuses visible light images and video data, infrared thermal image data and ultraviolet imaging image data. The noise recognition module detects and recognizes the equipment operation sound. From the various noise reverberations in the on-site environment, the sound belonging to the equipment operation is picked out to jointly form multi-source information data of the transmission line corridor facilities and equipment. The fault analysis and prediction unit analyzes and processes the multi-source image and noise data processed by the data processing unit and the collected meteorological data based on a deep learning algorithm, determines the power transmission facility equipment target, screens the fault warning feature items, and predicts and judges the possible critical faults of the power transmission line by comparing the features with the power transmission facility equipment fault library and the fault analogy library, and issues an alarm through the inspection alarm unit; The transmission line visualization unit displays images of transmission equipment, transmission line infrastructure and surrounding facilities, as well as drone inspection paths and results, drone monitoring images, fault feature analysis, and unified display of fault causes, fault locations and diagnosis results.
[0007] Furthermore, the infrared thermal imaging detection module is used to perform online fever detection on various equipment on the line, including the degree of degradation and damage of porcelain insulators and synthetic insulators, the degree of contamination on the surface of insulators, and the fever detection of line hardware and conductors. It intuitively displays the temperature distribution thermal map of the surface of the object, and stores and processes the detection data, specifically using passive infrared thermal imaging detection.
[0008] Furthermore, the ultraviolet detection module is used to detect the corona and partial discharge conditions of electrical equipment with electrical points, thereby realizing long-distance detection of the external insulation state of the high-voltage line. The ultraviolet detection module specifically adopts ultraviolet pulse method for detection, and its implementation circuit includes ultraviolet sensor, drive and signal detection circuit, power supply module, temperature and humidity acquisition module, liquid crystal display module, signal processor and data storage module.
[0009] Furthermore, the UAV is also equipped with a detection system controller, a stabilization gimbal, a memory, a flight attitude detector and a differential GPS locator.
[0010] Furthermore, the micro-meteorological online monitoring device is installed on a line tower on a transmission line corridor, and the micro-meteorological online monitoring device includes a main control module, a micro-meteorological sensor monitoring module, a data storage module, a communication module, a power supply module and a mounting bracket.
[0011] Furthermore, the image data fusion module in the data processing unit adopts multi-source remote sensing image fusion and image stitching technology to realize fusion processing of the collected image and video data.
[0012] Furthermore, the power transmission line visualization unit is displayed by using a spherical screen, a large screen, and a mobile terminal multi-source device.
[0013] Due to the adoption of the above technical scheme, the beneficial effects of the present invention are: by comprehensively collecting, processing, analyzing, judging and warning multi-source visible light images and video data, infrared and ultraviolet data of transmission lines, and noise data and meteorological data of transmission lines, various status data of transmission lines are obtained in real time, and comprehensive coverage inspection of transmission line bodies, transmission line ancillary facilities, transmission line channels and power protection areas is achieved, thereby improving inspection efficiency, reducing labor intensity and operational risks of staff, and improving data timeliness. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] Figure 1 It is a structural block diagram of the present invention. DETAILED DESCRIPTION
[0015] The technical solution of the present invention is further specifically described below through embodiments and in conjunction with the accompanying drawings.
[0016] like Figure 1 As shown, a transmission line inspection system based on multi-source data includes a multi-source data acquisition unit arranged along the transmission line corridor, the data collected by the multi-source data acquisition unit includes visible light images and video data taken by a monitoring system distributed along key areas and key positions of key lines along the transmission line corridor and a high-definition visible light camera carried on an unmanned aerial vehicle, infrared thermal image data obtained by an infrared thermal imaging detection module carried on the unmanned aerial vehicle, ultraviolet imaging image data obtained by an ultraviolet detection module carried on the unmanned aerial vehicle, noise data obtained by a noise monitoring module distributed along key areas and key positions of key lines along the transmission line corridor, and meteorological data collected by a micro-meteorological online monitoring device distributed along the transmission line corridor.
[0017] Specifically, the UAV is also equipped with a detection system controller, a stabilization gimbal, a memory, a flight attitude detector and a differential GPS locator.
[0018] Among them, the infrared thermal imaging detection module is used to perform online fever detection on various equipment on the line, including the degree of degradation and damage of porcelain insulators and synthetic insulators, the degree of contamination on the surface of insulators, and the fever detection of line hardware and conductors. It intuitively displays the temperature distribution thermal map of the surface of the object, and stores and processes the detection data, specifically using passive infrared thermal imaging detection.
[0019] Among them, the ultraviolet detection module is used to detect the corona and partial discharge conditions of electrical equipment with points, thereby realizing long-distance detection of the external insulation state of the high-voltage line. The ultraviolet detection module specifically adopts ultraviolet pulse method for detection, and its implementation circuit includes ultraviolet sensor, drive and signal detection circuit, power supply module, temperature and humidity acquisition module, liquid crystal display module, signal processor and data storage module.
[0020] Among them, the noise monitoring module is used to pick out the sound belonging to the equipment operation from the various noise reverberations in the on-site environment, and compare it with the established "sound library" when the equipment is operating normally, to determine whether the equipment is operating normally. The abnormal noise caused by the fault usually has the following characteristics: the detection position of the noise source is fixed, that is, the abnormal noise source can only be monitored in a certain area, and cannot be monitored in other areas. This can be achieved by using an online noise monitoring device.
[0021] Among them, the micro-meteorological online monitoring device is installed on the line tower on the transmission line corridor, and the micro-meteorological online monitoring device includes a main control module, a micro-meteorological sensor monitoring module, a data storage module, a communication module, a power supply module and a mounting bracket.
[0022] Among them, the multi-source data acquisition unit is also connected to a data transmission unit, which is implemented by a wireless communication module. The data transmission unit is connected to a main control unit, which is used for UAV flight control and data transfer. The main control unit is connected to a data storage unit, a data processing unit, a fault analysis and prediction unit, a patrol alarm unit and a transmission line visualization unit.
[0023] The data storage unit realizes unified collection, storage, calculation and backup of data by establishing a relational database, a distributed non-relational database, a distributed file and a distributed calculation.
[0024] Among them, the data processing unit includes an image data fusion module and a noise recognition module. The image data fusion module is used to analyze, process and fuse visible light images and video data, infrared thermal image data and ultraviolet imaging image data. The image data fusion module can specifically use multi-source remote sensing image fusion and image stitching technology to realize the fusion processing of the collected image and video data; the noise recognition module is used to detect and identify the equipment operation sound, and the sound belonging to the equipment operation is picked out from the various noise reverberations in the on-site environment to jointly form multi-source information data of the transmission line corridor facilities and equipment.
[0025] Among them, the fault analysis and prediction unit analyzes and processes the multi-source images and noise data processed by the data processing unit and the collected meteorological data based on the deep learning algorithm, determines the transmission facility equipment targets, screens the fault warning feature items, and compares the features with the transmission facility equipment fault library and the fault analogy library to predict and judge the possible critical faults of the transmission line, and issues an alarm through the inspection alarm unit.
[0026] Among them, the transmission line visualization unit displays images of transmission equipment, transmission line infrastructure and surrounding facilities, as well as drone inspection routes and results, drone monitoring images, fault feature analysis, and unified display of fault causes, fault locations and diagnosis results. Specifically, the transmission line visualization unit displays through the use of spherical screens, large screens, and mobile terminals. Multi-source devices.
[0027] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific implementation modes of the present invention can still be modified or replaced by equivalents, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be included in the scope of the claims of the present invention.
Claims
1. A transmission line inspection system based on multi-source data, characterized in that: It includes a multi-source data acquisition unit set up along the transmission line corridor. The data collected by the multi-source data acquisition unit include visible light images and video data taken by the monitoring system distributed in key areas and key positions of key lines along the transmission line corridor and the high-definition visible light camera carried by the unmanned aerial vehicle. It also includes infrared thermal image data detected by the infrared thermal image detection module carried on the drone. And the ultraviolet imaging data obtained by the ultraviolet detection module carried on the drone, And the noise data obtained by the noise monitoring modules distributed in key areas and key locations along the transmission line corridors, and meteorological data collected by micro-meteorological online monitoring devices distributed along the transmission line corridors; The multi-source data acquisition unit is also connected to a data transmission unit, which is implemented by a wireless communication module. The data transmission unit is connected to a main control unit, which is used for flight control of the UAV and data transfer. The main control unit is connected to a data storage unit, a data processing unit, a fault analysis and prediction unit, a patrol alarm unit and a power transmission line visualization unit; The data storage unit realizes unified collection, storage, calculation and backup of data by establishing a relational database, a distributed non-relational database, a distributed file and a distributed calculation; The data processing unit includes an image data fusion module and a noise recognition module. The image data fusion module analyzes, processes and fuses visible light images and video data, infrared thermal image data and ultraviolet imaging image data. The noise recognition module detects and recognizes the equipment operation sound. From the various noise reverberations in the on-site environment, the sound belonging to the equipment operation is picked out to jointly form multi-source information data of the transmission line corridor facilities and equipment. The fault analysis and prediction unit analyzes and processes the multi-source image and noise data processed by the data processing unit and the collected meteorological data based on a deep learning algorithm, determines the power transmission facility equipment target, screens the fault warning feature items, and predicts and judges the possible critical faults of the power transmission line by comparing the features with the power transmission facility equipment fault library and the fault analogy library, and issues an alarm through the inspection alarm unit; The transmission line visualization unit displays images of transmission equipment, transmission line infrastructure and surrounding facilities, as well as drone inspection paths and results, drone monitoring images, fault feature analysis, and unified display of fault causes, fault locations and diagnosis results.
2. The power transmission line inspection system based on multi-source data according to claim 1, characterized in that: The infrared thermal imaging detection module is used to perform online heat detection on various equipment on the line, specifically including the degree of deterioration and damage of porcelain insulators and synthetic insulators, the degree of contamination on the surface of insulators, and the heat detection of line hardware and conductors. It intuitively displays the temperature distribution thermal map of the surface of the object, and stores and processes the detection data, specifically using passive infrared thermal imaging detection.
3. The power transmission line inspection system based on multi-source data according to claim 1, characterized in that: The ultraviolet detection module is used to detect the corona and partial discharge conditions of electrical equipment with electrical points, thereby realizing long-distance detection of the external insulation state of the high-voltage line. The ultraviolet detection module specifically adopts the ultraviolet pulse method for detection, and its implementation circuit includes an ultraviolet sensor, a drive and signal detection circuit, a power supply module, a temperature and humidity acquisition module, a liquid crystal display module, a signal processor and a data storage module.
4. The power transmission line inspection system based on multi-source data according to claim 1, characterized in that: The UAV is also equipped with a detection system controller, a stabilization platform, a memory, a flight attitude detector and a differential GPS locator.
5. The power transmission line inspection system based on multi-source data according to claim 1, characterized in that: The micro-meteorological online monitoring device is arranged on a line tower on a transmission line corridor, and comprises a main control module, a micro-meteorological sensor monitoring module, a data storage module, a communication module, a power supply module and a mounting bracket.
6. The power transmission line inspection system based on multi-source data according to claim 1, characterized in that: The image data fusion module in the data processing unit adopts multi-source remote sensing image fusion and image stitching technology to realize the fusion processing of the collected image and video data.
7. The power transmission line inspection system based on multi-source data according to claim 1, characterized in that: The power transmission line visualization unit is displayed by using spherical screens, large screens, and mobile terminal multi-source devices.