High-voltage line patrol fault detection method and system based on visual attention mechanism

Abstract

The invention discloses a high-voltage line patrol fault detection system based on a visual attention mechanism. The system comprises an image sensor, an ADC analog-to-digital conversion module, an FPGA module, a DDR storage module, a DSP image processing module, an automatic control module and a communication module. The automatic control module is mainly used for receiving an instruction signal of the communication module and controlling operation of the other modules, and when receiving a fault signal from the DSP, notifying the communication module to send the fault information to a control station; the image sensor is used for carrying out video image acquisition, and after ADC analog-to-digital conversion, video images are subjected to video sampling and image preprocessing by the FPGA module; and the DSP image processing module is used for carrying out fault detection and identification on video data in an RAM based on the visual attention mechanism. The invention also discloses a high-voltage line patrol fault detection method based on the visual attention mechanism. Power transmission line characteristics are extracted through an image identification method, and then, fault detection is carried out, and thus the problems of high intensity, high cost and low efficiency and the like of a conventional patrol mode can be solved.

Description

technical field [0001] The invention relates to the field of electric power monitoring, in particular to a high-voltage line inspection fault detection method and system based on a visual attention mechanism. Background technique [0002] As the carrier of power transmission, the transmission line is an important part of the power supply system. At present, most of the transmission lines and other components are exposed to the outdoors, corroded and damaged, if the defects are not found and repaired in time, it will lead to serious safety accidents. Manual inspection is the most commonly used inspection method. High-voltage transmission lines have a wide area and long distances, and the geographical environment of transmission lines is harsh. Manual inspection operations are becoming more and more difficult, and the efficiency is low, which can easily cause missed and false detections. Since the 1990s, helicopters have become more and more widely used for power work such a...

AI Technical Summary

Problems solved by technology

Based on computer vision technology, the system first uses imaging equipment to capture the status of transmission lines, and then uses the image recognition method based on the visual attention mechanism to extract the characteristics of transmission lines, and then detects abnormal faults, which can solve the problems of high intensity, high cost, and low efficiency

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