Research on the Application of AI Technology in Railway Signal Fault Identification System
Lizhu Cao, Yunlong Zhao · 2023
In order to solve the problems encountered in the field operation of railway signals, this paper uses artificial intelligence technology to establish a complete microcomputer interlocking fault detection system of rail transit signals. Firstly, the general structure of railway signal interlocking fault diagnosis is established, and the functional modules of three subsystems are developed. In this paper, the implementation of a complete rail transit signal fault diagnosis expert system is presented. Taking the failure of railway signal light as an example, the effectiveness of this method in practical application is verified. The design improves the performance of fault data acquisition and processing, can greatly shorten the time and cost of on-site maintenance, and improve the benefit of on-site maintenance in railway industry.