An automatic RFID detection based railway identification system

Hongxu ZHU; Kim Fung Tsang; Chung Kit Wu; Hao Ran Chi

doi:10.1109/ISPCE.2018.8379268

An automatic RFID detection based railway identification system

Hongxu ZHU
, Kim Fung Tsang^*
, Chung Kit Wu
, Hao Ran Chi

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

Railway safety is a very complicated subject, which is determined by numerous aspects. In Hong Kong, with increasing patronage and traffic density of MTR Railway System, public attention is focused much more on the rail integrity. This paper proposed an automatic RFID detection based railway identification system (RVI) to give the risk assessment to the rail. In the RVI system, RFID detection is applied. In addition, Monte Carlo analysis is applied to select the best position for RFID tags. A trial has considered simulated situation of Hong Kong MTR. The trail involved 8 scenarios, which achieved 89% detection success rate. RVI system helps to enhance the reliability, accuracy and efficiency of remote condition monitoring of rail integrity.

Original language	English
Title of host publication	ISPCE 2018 - IEEE Symposium on Product Compliance Engineering, Proceedings
Publisher	IEEE
ISBN (Electronic)	978-1-5386-3432-5
DOIs	https://doi.org/10.1109/ISPCE.2018.8379268
Publication status	Published - May 2018
Event	15th IEEE Symposium on Product Compliance Engineering, ISPCE 2018 - San Jose, United States Duration: 14 May 2018 → 16 May 2018

Conference

Conference	15th IEEE Symposium on Product Compliance Engineering, ISPCE 2018
Place	United States
City	San Jose
Period	14/05/18 → 16/05/18

Research Keywords

Monte Carlo analysis
Railway integrity
RFID detection
Risk assessment

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@inproceedings{c5c5567891744754ae2fa36a20b9bae8,

title = "An automatic RFID detection based railway identification system",

abstract = "Railway safety is a very complicated subject, which is determined by numerous aspects. In Hong Kong, with increasing patronage and traffic density of MTR Railway System, public attention is focused much more on the rail integrity. This paper proposed an automatic RFID detection based railway identification system (RVI) to give the risk assessment to the rail. In the RVI system, RFID detection is applied. In addition, Monte Carlo analysis is applied to select the best position for RFID tags. A trial has considered simulated situation of Hong Kong MTR. The trail involved 8 scenarios, which achieved 89\% detection success rate. RVI system helps to enhance the reliability, accuracy and efficiency of remote condition monitoring of rail integrity.",

keywords = "Monte Carlo analysis, Railway integrity, RFID detection, Risk assessment",

author = "Hongxu ZHU and Tsang, \{Kim Fung\} and Wu, \{Chung Kit\} and Chi, \{Hao Ran\}",

year = "2018",

month = may,

doi = "10.1109/ISPCE.2018.8379268",

language = "English",

booktitle = "ISPCE 2018 - IEEE Symposium on Product Compliance Engineering, Proceedings",

publisher = "IEEE",

address = "United States",

note = "15th IEEE Symposium on Product Compliance Engineering, ISPCE 2018 ; Conference date: 14-05-2018 Through 16-05-2018",

}

TY - GEN

T1 - An automatic RFID detection based railway identification system

AU - ZHU, Hongxu

AU - Tsang, Kim Fung

AU - Wu, Chung Kit

AU - Chi, Hao Ran

PY - 2018/5

Y1 - 2018/5

N2 - Railway safety is a very complicated subject, which is determined by numerous aspects. In Hong Kong, with increasing patronage and traffic density of MTR Railway System, public attention is focused much more on the rail integrity. This paper proposed an automatic RFID detection based railway identification system (RVI) to give the risk assessment to the rail. In the RVI system, RFID detection is applied. In addition, Monte Carlo analysis is applied to select the best position for RFID tags. A trial has considered simulated situation of Hong Kong MTR. The trail involved 8 scenarios, which achieved 89% detection success rate. RVI system helps to enhance the reliability, accuracy and efficiency of remote condition monitoring of rail integrity.

AB - Railway safety is a very complicated subject, which is determined by numerous aspects. In Hong Kong, with increasing patronage and traffic density of MTR Railway System, public attention is focused much more on the rail integrity. This paper proposed an automatic RFID detection based railway identification system (RVI) to give the risk assessment to the rail. In the RVI system, RFID detection is applied. In addition, Monte Carlo analysis is applied to select the best position for RFID tags. A trial has considered simulated situation of Hong Kong MTR. The trail involved 8 scenarios, which achieved 89% detection success rate. RVI system helps to enhance the reliability, accuracy and efficiency of remote condition monitoring of rail integrity.

KW - Monte Carlo analysis

KW - Railway integrity

KW - RFID detection

KW - Risk assessment

UR - https://www.scopus.com/pages/publications/85049921133

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85049921133&origin=recordpage

U2 - 10.1109/ISPCE.2018.8379268

DO - 10.1109/ISPCE.2018.8379268

M3 - RGC 32 - Refereed conference paper (with host publication)

BT - ISPCE 2018 - IEEE Symposium on Product Compliance Engineering, Proceedings

PB - IEEE

T2 - 15th IEEE Symposium on Product Compliance Engineering, ISPCE 2018

Y2 - 14 May 2018 through 16 May 2018

ER -

An automatic RFID detection based railway identification system

Abstract

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