Agent based heterogeneous data integration and maintenance decision support for high-speed railway signal system

Author

Lianbao Yang ; Tianhua Xu ; Zhenxian Wang

Author_Institution

State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China

fYear

2014

fDate

8-11 Oct. 2014

Firstpage

1976

Lastpage

1981

Abstract

In this paper, we propose a novel framework of integration of multi-source heterogeneous data and intelligent maintenance decision support for High-speed Railway Signal System. The framework uses the multi-agent system to deal with the multi-source data. Each agent has its own task varying from transferring RDB (Rational Database) data to RDF (Resource Description Framework) file, and then fusing local RDF to global RDF by Apache Jena API and D2RQ. In addition, a CBR (Case-Based Reasoning) based intelligent maintenance decision support for the fault diagnosis has been constructed by combing the rough set with the Euclidean distance. The correctness and efficiency of the proposed framework has been verified by maintenance data derived from VOBE (Vehicle Equipment On Board) of CTCS-300T operating on Wuhan-Guangzhou Line.

Keywords

case-based reasoning; data integration; decision support systems; fault diagnosis; multi-agent systems; railways; rough set theory; Apache Jena API; CBR based intelligent maintenance decision support; CTCS-300T; D2RQ; Euclidean distance; RDB data; RDF file; VOBE; Wuhan-Guangzhou Line; agent based multisource heterogeneous data integration; case-based reasoning based intelligent maintenance decision support; fault diagnosis; high-speed railway signal system; multiagent system; rational database data; resource description framework file; rough set; vehicle equipment on board; Cognition; Data integration; Libraries; Maintenance engineering; Ontologies; Rail transportation; Resource description framework;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on

Conference_Location

Qingdao

Type

conf

DOI

10.1109/ITSC.2014.6957995

Filename

6957995