Optimization Design of Rail Station Signal Monitoring System Based on Role Autonomous Decentralized System

Author:

Yuan Tengfei1ORCID,Shi Tongguang2,Shen Tuo34,Ren Guangxian5

Affiliation:

1. SHU-UTS SILC Business School, Shanghai University, Shanghai 201800, P. R. China

2. College of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, P. R. China

3. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China

4. Shanghai Key Laboratory of Rail, Infrastructure Durability and System Safety, Shanghai 201804, P. R. China

5. Jinan City Planning and Design Institute, Jinan High-Tech Industrial Development Zone 250101, P. R. China

Abstract

Online-expansion, online maintenance and fault tolerance are vital functions of rail signal monitoring system, which can guarantee the system always in working status and satisfy the sustainable development of rail transit. Due to the limitations of traditional centralized system structure, it is necessary to optimize the design of rail station signal monitoring system to make the system possess these functions. In this research, the novel concept of Role on Autonomous Decentralized System (RoADS) is adopted to optimize the design of rail signal monitoring system. On the one hand, RoADS has the characteristic of role dynamic conversion which is essential to realize the special function of online-expansion, online maintenance and fault tolerance. On the other hand, RoADS also can support the basic function of data collection. In order to verify the validity of the proposed method, a case study has been performed on ZPW-2000 track circuit monitoring system which is the subsystem of rail signal system mainly responsible to monitor the track circuit. The results clearly indicate that the optimized system based on RoADS can not only realize the function of data collection, but also possess the function of online-expansion, online maintenance and fault tolerance. Consequently, the proposed method based on RoADS can improve the safety level of rail transit and reduce the cost operation which is of great significance for maintaining the sustainable urban development of rail transit.

Funder

National Natural Science Foundation of China

Shanghai Science and Technology Committee Project

Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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