System architecture of a train sensor network for automatic train safety monitoring

Document Type

Article

Publication Date

1-1-2019

Abstract

Train safety monitoring and fault diagnosis are critically to prevent the disastrous accidents caused by train failure. Train safety protection sensor network is a modern equipment capable of autonomously monitoring working condition and actively control emergent faults. It strategically places a group of specialized sensors in the vehicles that can record various vital parameters and real-time prompt calculated error code to train driver or dispatcher. This approach also reduces operation expenses by tracing subsystems' reliability, availability and maintainability. Designing such networks faces a number of challenging tasks, as one needs to address some conflicting requirements for quick diagnosis, collaborative decision making, achieving high precision and reliability. This paper presents a novel online Train Safety Sensor Network (TSSN) architecture installed on train emphasis on safety monitoring and diagnostic issues. TSSN consists of multiple sensor layers that monitor train's electrical and mechanical activities, a train data center and a ground data analysis server. TSSN is modular, flexible and able to meet the required safety specification. The hardware and software structure are characterized by lower development costs compared with other market solutions. The server implements fault diagnosis based on a Fault Tree Analysis method (FTA) for a door system. The results show that the sensor network contributes to improve train safety guarantee function.

Identifier

85046802840 (Scopus)

Publication Title

Computers and Industrial Engineering

External Full Text Location

https://doi.org/10.1016/j.cie.2018.04.038

ISSN

03608352

First Page

1183

Last Page

1192

Volume

127

Grant

RCS2017ZJ001

Fund Ref

Beijing Municipal Science and Technology Commission

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