Automatic detecting system and damage recognition method for railway protecting fences

Abstract

The invention relates to an automatic detecting system and a damage recognition method for railway protecting fences. The automatic detecting system comprises a high-speed digital video camera, a high-speed image capture card, a vehicle fence detecting computer, a satellite positioning module, an illumination intelligent supplemental lighting device, a wireless data transceiver module, a long-distance background management server and a smart phone. Fence images on both sides of railways are photographed by the high-speed video camera arranged in railway carriages, and then the images are processed by the computer for judging whether the fences on both sides of the railways are damaged or not. The automatic detecting system has the advantages of high recognition rate, wide detection range, high stability and high processing speed. Compared with the manual inspection, the work efficiency is increased by more than five times.

Description

technical field [0001] The invention relates to an automatic detection system and a damage identification method for railroad fence nets. A high-speed camera mounted on a train car takes images of railroad fence nets on both sides and processes them with a computer to identify whether the railroad guardrail nets are damaged. Background technique [0002] The railway fence net is an important railway traffic infrastructure. As a supporting project of the railway system, once the fence net erected on both sides of the railway line is stolen, lost or artificially damaged, it will cause serious damage to the train operation and the life and property safety of residents along the line. serious threat. [0003] The traditional solution is to manually inspect along the line, which is labor-intensive and time-consuming and cannot be found in time. At present, the existing research methods only identify whether the thicker cement railings along the railway line are intact, and have ...

AI Technical Summary

Problems solved by technology

[0003] The traditional solution is to manually inspect along the line, which is labor-intensive and time-consuming and cannot be found in time

At present, the existing research methods only identify whether the thicker cement railings along the railway line are intact, and have the disadvantages of poor adaptability, high rate of missed judgment and false positive rate, and fail to effectively identify the largest proportion of the area along the railway line. Whether the fence net is intact, for example, if the damaged area reaches 200cm 2 The fence network is correctly identified

In addition, in these research projects, a complete and unified background database and management system has not been established, and multiple signals cannot be processed at the same time.

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