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Ontology-Based Event Modeling and High-Confidence Processing in IoT-Enabled High-Speed Train Control System

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Abstract

The rapid development of various types of real-time control systems raise new challenges on their heterogeneity and knowledge explicitly sharing issues. In this study, we propose an ontology-based model, named OntoEvent, to define and detect complex event in high-speed train control system. OntoEvent defines control logics using ontology structure and describes functionalities using logical, temporal operators and attribute relations. This ontology-based event processing model supports dynamic reconfiguration of functions and sharing between different components of the railway system. A pipelined construction framework is designed to transform OntoEvent model into semantic-consistent detection model. We implement a prototype control system, to evaluate the efficiency and performance of OntoEvent. Experimental results on this prototype system prove that OntoEvent-based event detection model outperforms other two selected models in results correctness, processing throughput and real-time performance, especially when processing a large amount of complex events.

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Acknowledgements

This work is supported by National Key R&D Program of China (Grant no.2017YFB1200700) and National Key Laboratory of Science and Technology on Reliability and Environmental Engineering (Grant no. 6142004180403).

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Author notes

  1. Meng Ma and Yangxin Lin contributed equally to this work.

Authors and Affiliations

  1. National Engineering Research Center for Software Engineering, Peking University, Beijing, China

    Meng Ma & Ping Wang

  2. School of Software & Microelectronics, Peking University, Beijing, China

    Yangxin Lin & Ping Wang

  3. Key Laboratory of High Confidence Software Technologies (PKU), Ministry of Education, Beijing, China

    Ping Wang

  4. Wuxi Institute of Technology, Wuxi, Jiangsu, China

    Lihua Duan

  5. Beijing National Railway Research and Design Institute of Signal and Communication, Beijing, China

    Ling Liu

Authors
  1. Meng Ma
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  2. Yangxin Lin
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  3. Ping Wang
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  4. Lihua Duan
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  5. Ling Liu
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Corresponding authors

Correspondence to Ping Wang or Lihua Duan.

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Ma, M., Lin, Y., Wang, P. et al. Ontology-Based Event Modeling and High-Confidence Processing in IoT-Enabled High-Speed Train Control System. J Sign Process Syst 93, 155–167 (2021). https://doi.org/10.1007/s11265-020-01524-3

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  • DOI: https://doi.org/10.1007/s11265-020-01524-3

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