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Substation unmanned aerial vehicle inspection method based on artificial intelligence

An artificial intelligence and unmanned aerial vehicle technology, applied in the field of electric power, can solve the problems of blind spots in inspection vision, low battery life and high operation risk, and achieve the effect of increasing abnormal processing and self-recovery logic, ensuring safe and stable operation, and expanding management functions.

Pending Publication Date: 2022-03-01
国网河南省电力公司超高压公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The problem to be solved by the present invention is to provide a substation UAV inspection system and method to solve the problems of blind spots in inspection vision, high work intensity, low inspection efficiency, high operation risk, poor anti-interference and low battery life.

Method used

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  • Substation unmanned aerial vehicle inspection method based on artificial intelligence

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Effect test

Embodiment 1

[0028]An artificial intelligence-based UAV inspection method for substations. Based on the UAV intelligent inspection system, it realizes the construction of digital converter stations and intelligent substations. It is equipped with small RTK multi-rotor UAV inspection devices, three-light multi-rotor drone Man-machine mounting sensor device, high-precision laser point cloud data acquisition and intelligent track design and planning, UAV intelligent control platform terminal software, fixed smart machine nest, UAV control algorithm based on multi-sensor fusion, realize the Precise control of UAV attitude, cloud platform, etc., using Beidou high-precision positioning, UAV inspection data station LAN transmission technology, to realize the real-time and all-round dynamic perception of the substation inspection UAV's position. According to the structure and inspection requirements of lightning rod equipment, the UAV is equipped with DJI UAV accessories - multi-angle wireless tran...

Embodiment 2

[0037] An artificial intelligence-based UAV inspection method for substations. The difference from Embodiment 1 is that the UAV is used to inspect the main transformer of the substation based on artificial intelligence. The main transformer is the core equipment of the entire substation. Once a fault occurs would cause major losses. If it is light, it may cause equipment failure; if it is serious, it will cause a fire and cause heavy losses. Therefore, it is of great significance to analyze and discover the cause of transformer failure in advance and take corresponding preventive measures in time.

[0038] The drone is equipped with a high-definition visible light camera to check whether there are obvious foreign objects around the transformer, and to collect oil level and meter data at some high places.

Embodiment 3

[0040] An artificial intelligence-based drone inspection method for a substation is different from Embodiment 1 in that: based on artificial intelligence, the drone is used to inspect transformers in substations, and transformers in substations are divided into voltage transformers and current transformers. It is an important equipment used to isolate the high-voltage system to ensure the safety of people and equipment. The performance of the transformer directly affects the accuracy of measurement and measurement of the power system and the reliability of the relay protection device.

[0041] The UAV is equipped with a high-definition visible light camera to check the appearance of the transformer, high oil level readings, meter readings, energy storage switch status, whether the porcelain bottle is damaged, whether the equipment has oil leakage, etc. HMI can hover and zoom to capture clear photos.

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Abstract

The invention provides a transformer substation unmanned aerial vehicle inspection method based on artificial intelligence, and belongs to the technical field of electric power. Based on an unmanned aerial vehicle intelligent inspection system, construction of a digital converter station and an intelligent transformer substation is achieved, and a small RTK multi-rotor unmanned aerial vehicle inspection device, a three-light multi-rotor unmanned aerial vehicle mounting sensing device, high-precision laser point cloud data acquisition and intelligent track design planning, unmanned aerial vehicle intelligent control platform terminal software and a fixed intelligent machine nest are arranged. Based on an unmanned aerial vehicle control algorithm of multi-sensor fusion, accurate control of unmanned aerial vehicle attitudes, holders and the like is realized, and omnibearing dynamic sensing of the real-time position of the transformer substation patrol unmanned aerial vehicle is realized by applying Beidou high-precision positioning and a local area network transmission technology in a patrol data station of the unmanned aerial vehicle. According to the invention, the problems of blind angles in inspection vision, high working intensity, low inspection efficiency, high operation risk, poor interference resistance and short endurance are solved.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to an artificial intelligence-based drone inspection method for substations. Background technique [0002] With the development of precise positioning, flight control and other technologies, drone technology has been widely used in agriculture, transportation and other fields. Monitor. In the field of power grids, carry out research on UAV technology for substations, realize functions such as remote equipment monitoring and automatic temperature measurement, and replace traditional manual climbing inspections, which can break space restrictions, greatly reduce on-site operation risks, improve equipment operation and maintenance efficiency, and protect power grids And equipment safe and reliable operation. Focus on inspections of hidden dangers and defects such as corrosion, looseness, and falling off of substation structures, lightning rods, busbars, and other high-level e...

Claims

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Application Information

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IPC IPC(8): G05D1/08G05D1/10
CPCG05D1/0808G05D1/101
Inventor 尚西华张劲光张勋王世旭扶光光焦澎袁森韩丽峰
Owner 国网河南省电力公司超高压公司
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