INTEGRATING RAILWAY MAINTENANCE DATA Development of a Semantic Data Model to Support Condition Monitoring Data from Multiple Sources

被引:0
|
作者
Tutcher, J. [1 ]
Roberts, C. [1 ]
Easton, J. M. [1 ]
机构
[1] Univ Birmingham, Sch Elect Elect & Comp Engn, Birmingham, W Midlands, England
关键词
Railways; Data exchange; Domain ontology; Data interoperability; Condition monitoring;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Railway networks comprise a large number of information systems, many of which are implemented by different stakeholders according to different design requirements, and in different ways. Owing to the safety-critical nature of these systems, data is rarely shared across boundaries, and the potential for re-use of information is lost. Using ontology, it is hoped that information from these systems can be extracted and shared, in order to facilitate better operational decision-making. This paper examines the aspects of data re-use likely to benefit the industry, and describes a railway condition monitoring ontology that is being designed in conjunction with several industrial stakeholders to improve operational efficiency.
引用
下载
收藏
页码:442 / 444
页数:3
相关论文
共 50 条
  • [11] Arterial incident detection integrating data from multiple sources
    Bhandari, Nikhil
    Koppelman, Frank S.
    Schofer, Joseph L.
    Sethi, Vaneet
    Ivan, John N.
    Transportation Research Record, 1995, (1510): : 60 - 69
  • [12] Integrating remote sensing data from multiple optical sensors for ecological and crop condition monitoring
    Gao, Feng
    Wang, Peijuan
    Masek, Jeff
    REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY X, 2013, 8869
  • [13] Comparing Data Sources for Condition Monitoring Suitability
    Fromberger, M.
    Sendlbeck, S.
    Rothemund, M.
    Goetz, J.
    Otto, M.
    Stahl, K.
    FORSCHUNG IM INGENIEURWESEN-ENGINEERING RESEARCH, 2019, 83 (03): : 521 - 527
  • [14] Synthetic Data Generation for Condition Monitoring of Railway Switches
    del Alamo, Miguel
    Heusel, Judith
    Guzman, Daniela Narezo
    DEPENDABLE COMPUTING, EDCC 2022 WORKSHOPS, 2022, 1656 : 76 - 88
  • [15] INTEGRATING MULTIPLE BUILT ENVIRONMENT DATA SOURCES
    Won, Jung Yeon
    Elliott, Michael R.
    Sanchez-Vaznaugh, Emma V.
    Sanchez, Brisa N.
    ANNALS OF APPLIED STATISTICS, 2023, 17 (02): : 1722 - 1739
  • [16] Integrating Multiple Data Sources for Stock Prediction
    Wu, Di
    Fung, Gabriel Pui Cheong
    Yu, Jeffrey Xu
    Liu, Zheng
    WEB INFORMATION SYSTEMS ENGINEERING - WISE 2008, PROCEEDINGS, 2008, 5175 : 77 - +
  • [17] Railway Maintenance Analysis based on big data and condition classification
    Song, Boyang
    Zhong, Yan
    Liu, Rengkui
    Wang, Futian
    ADVANCED CONSTRUCTION TECHNOLOGIES, 2014, 919-921 : 1134 - +
  • [18] Data Analysis for Condition-Based Railway Infrastructure Maintenance
    Bergquist, Bjarne
    Soederholm, Peter
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2015, 31 (05) : 773 - 781
  • [19] Tolkku - a toolbox for decision support from condition monitoring data
    Saarela, Olli
    Lehtonen, Mikko
    Halme, Jari
    Aikala, Antti
    Raivio, Kimmo
    25TH INTERNATIONAL CONGRESS ON CONDITION MONITORING AND DIAGNOSTIC ENGINEERING (COMADEM 2012), 2012, 364
  • [20] Integrating Data Mining Models from Distributed Data Sources
    Wilford-Rivera, Ingrid
    Ruiz-Fernandez, Daniel
    Rosete-Suarez, Alejandro
    Marin-Alonso, Oscar
    DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 2010, 79 : 389 - +