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Unmanned aerial vehicle-based power equipment defect intelligent diagnosis system and method

A technology of electric equipment and intelligent diagnosis, which is applied in the direction of material defect testing, etc., can solve the problems of difficulty in accurate judgment and low accuracy of results, and achieve the effects of reliable diagnosis results, high economic and social benefits, and enhanced comprehensive capabilities

Inactive Publication Date: 2017-06-20
SHANGHAI MUNICIPAL ELECTRIC POWER CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the measurement of temperature is affected by many factors, it is often difficult to make an accurate judgment, and the experience of the testing personnel is required, which makes the accuracy of the result not high

Method used

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  • Unmanned aerial vehicle-based power equipment defect intelligent diagnosis system and method
  • Unmanned aerial vehicle-based power equipment defect intelligent diagnosis system and method
  • Unmanned aerial vehicle-based power equipment defect intelligent diagnosis system and method

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Embodiment

[0035] like figure 1 As shown, a UAV-based intelligent defect diagnosis system for power equipment, the system includes a UAV, an infrared thermal imager 1 and a defect diagnosis processor 2, the infrared thermal imager 1 is set on the UAV, and the defect detection processing The device is connected to the thermal imager 1;

[0036] The drone conducts inspections above the electrical equipment, and the infrared thermal imager 1 takes infrared pseudo-color images on the surface of the electrical equipment and sends them to the defect diagnosis processor 2. The defect diagnosis processor 2 analyzes the infrared pseudo-color images and determines the power equipment Defects.

[0037] Defect diagnosis processor 2 includes:

[0038] Infrared pseudo-color image conversion unit 21: this unit is used to convert the infrared pseudo-color image into a temperature image, and each pixel corresponds to a temperature value;

[0039] Defect determination unit 22: this unit compares the te...

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Abstract

The invention relates to an unmanned aerial vehicle-based power equipment defect intelligent diagnosis system and method. The system comprises an unmanned aerial vehicle, an infrared thermal imager and a defect diagnosis processor. The infrared thermal imager is arranged on the unmanned aerial vehicle. The defect diagnosis processor is connected to the infrared thermal imager. The unmanned aerial vehicle carries out routing inspection on power equipment. The infrared thermal imager shoots infrared pseudo-color images of the power equipment surface and transmits the images to the defect diagnosis processor. The defect diagnosis processor can analyze the infrared pseudo-color images and determine power equipment defects. Compared with the existing defect diagnosis device, the system is simple, is implemented conveniently and can produce a reliable diagnosis result and high diagnosis efficiency.

Description

technical field [0001] The present invention relates to a system and method for diagnosing defects of power equipment, in particular to a system and method for intelligently diagnosing defects of power equipment based on drones. Background technique [0002] With the rapid development of my country's national economy, power cables are widely used in power grids and occupy an important position in modern cities. The terminal and intermediate joint of the power cable are the weak link of the whole cable system, and they are the parts with high occurrence of cable faults. Since the terminal of the porcelain sleeve is generally located on a higher platform and its internal insulation is invisible, how to effectively detect it Monitoring is what we're going to talk about now. [0003] Due to my country's vast territory, complex terrain, less plains and more hills and mountainous areas, and complex meteorological conditions, for the initial planning and construction of large-scal...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N25/72
CPCG01N25/72
Inventor 邹翔宇李海周咏晨陆俊姚洪庆周赟邓智敏黄永忠郏黎明郑骏驰田晓声周宋铖
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO