Name
Title | ||
|---|---|---|
Ontology-Based Event Modeling And High-Confidence Processing In Iot-Enabled High-Speed Train Control System |
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/s11265-020-01524-3 | JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY |
Keywords | DocType | Volume |
Event processing, Real-time system, Control system, High-speed railway, Ontology, High-confidence | Journal | 93 |
Issue | ISSN | Citations |
2-3 | 1939-8018 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng Ma | 1 | 78 | 15.71 |
| Yangxin Lin | 2 | 1 | 1.50 |
| Ping Wang | 3 | 93 | 44.15 |
| Lihua Duan | 4 | 0 | 0.34 |
| Ling Liu | 5 | 6 | 1.22 |