Rail transit intelligent operation and maintenance system and method based on edge calculation and machine learning

Abstract

The invention discloses a rail transit intelligent operation and maintenance system and method based on edge computing and machine learning. The system comprises an end service layer, an edge service layer and a cloud service layer. The end service layer comprises an end sensor, an end controller, an end server and a vehicle TCMS system; the side service layer comprises a line intelligent operation and maintenance system, a production business management system and a vehicle intelligent maintenance system; and the cloud service layer comprises an intelligent operation and maintenance big data center. According to the invention, the Internet of Things technology is fully utilized, unified data acquisition is realized on the vehicle, and the data can be deeply fused; the data can be timely and locally processed; optimization is realized by using a machine algorithm, and data decision support is provided for operation and maintenance personnel while the safety of a vehicle system is improved; through end-to-end cooperation, the end server on the vehicle can be connected and communicated with the end server of the vehicle within the set distance through wireless communication of the end server, the health state and fault information of the vehicle within the set distance can be intelligently sensed in real time, and potential safety hazards are avoided in time.

Description

technical field [0001] The invention relates to the technical field of rail transit operation and maintenance, in particular to an intelligent rail transit operation and maintenance system and method based on edge computing and machine learning. Background technique [0002] With the development of the rail transit industry, the number of rail vehicles put into operation is increasing year by year. During the development of rail vehicles in the direction of intelligence, in order to ensure the safety of rail vehicles, it is usually necessary to diagnose rail vehicles in real time and accurately grasp the health status of the vehicles. In the traditional mode, multiple disciplines related to rail transit driving, including vehicles, power supply, signals, platform doors, rail pantograph and catenary, have each deployed a set of intelligent operation and maintenance systems. Intelligent operation and maintenance systems refer to the use of advanced sensor technology Obtain re...

AI Technical Summary

Problems solved by technology

[0008] In view of the above-mentioned deficiencies in the prior art, the rail transit intelligent operation and maintenance system and method based on edge computing and machine learning provided by the present invention solve the problems of the prior art rail transit vehicle driving safety and low operation and maintenance efficiency

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