Transmission conductor on-line monitoring method and system based on target identification and reconstruction

Abstract

The invention relates to a transmission conductor online monitoring method and system based on target identification and reconstruction, and the method comprises the following steps: obtaining image information of a space above a tower, recognizing a dangerous region of a conductor based on the image information, and generating early warning information; determining a sampling range and a sampling period of the laser point cloud data based on the early warning information; acquiring a dangerous distance by using the laser point cloud data; when the dangerous distance meets the safety condition, ending the work; and when the danger distance does not meet the safety condition, sending out safety early warning according to the danger coefficient. The real-time performance of a monitoring image is utilized to improve the dangerous object identification speed, and the real-time performance requirement of power transmission line monitoring is met; point cloud data scanned by a laser radar is utilized, the accuracy degree of dangerous distance calculation is improved, and online monitoring and safety early warning of a transmission line are achieved by integrating parameters such as the minimum vertical distance, the minimum clearance distance, the minimum horizontal distance, the dangerous distance, the size of a dangerous target, the height of the dangerous target and the safety guarantee level of the transmission line.

Description

technical field [0001] The invention relates to the field of emergency handling, in particular to an on-line monitoring method and system for power transmission conductors based on target identification and reconstruction. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] With the expansion of the coverage of the power grid, the number of transmission lines has increased year by year. Due to their wide distribution and long transmission distances, they are vulnerable to accidents caused by various harsh external environments during operation. In recent years, with the development of urban construction, the tripping accidents of transmission lines caused by external force damage caused by construction sites or human activities have increased significantly. According to statistics, more than 80% of the causes of external damage failures are c...

AI Technical Summary

Problems solved by technology

[0006](1) Install laser radar detectors on transmission lines or towers to build a safety monitoring system against external force damage, but limited by the short distance of laser signal propagation and large amount of data The monitoring range is relatively small;

[0007](2) Set up a remote video security online monitoring device for transmission lines. This method has strong real-time performance and a wide monitoring range, but manual judgment is still required and the degree of automation is not high;

[0008](3) Based on the video surveillance system, background modeling and line detection algorithms are applied to track large mechanical booms and provide automatic warnings. False positive;

[0009](4) The deep neural network is used to extract multiple features of the target instead of a single feature, but the deep neural network algorithm takes a long time, and it is difficult to prevent external forces from destroying such real-time Realized in engineering applications with high performance requirements

[0010]There are many problems in the above methods, and it is difficult to meet the real-time and accuracy requirements of transmission line monitoring

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