Abstract

With the continuous expansion of the scale of my country's railway electrical system and the increasingly complex equipment functions, the requirements for ensuring the safe, stable and long-term operation of the electrical system are becoming more and more urgent. The operation and maintenance system is mainly through manual maintenance, which is inefficient. With the continuous development and application of technologies such as information technology and intelligent terminals in my country, intelligent monitoring technology has been gradually applied to the maintenance of signal systems. In order to facilitate the electric service personnel to grasp the operating equipment status in real time, optimize the equipment maintenance process and improve the maintenance efficiency. This paper comprehensively considers the daily maintenance, operation, emergency response operation process and related precautions of the signal system, and combines key technologies such as data access, data fusion, data visualization, fault prediction and health management to realize the analysis and design of intelligent operation and maintenance application functions. Provide reference for the improvement of railway signal operation and maintenance level and the transformation of electric service operation and maintenance mode.

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