Design and research of railway foreign material intrusion limit based on new sensor and network

Sixuan Qiu; Ningzhou Li; Xiaojuan Wei; Gaosong Li

doi:10.1117/12.2673511

22 May 2023 Design and research of railway foreign material intrusion limit based on new sensor and network

Sixuan Qiu, Ningzhou Li, Xiaojuan Wei, Gaosong Li

Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 1264014 (2023) https://doi.org/10.1117/12.2673511
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China

Abstract

foreign matter intrusion on train operation safety is becoming increasingly serious. Based on a large amount of research data, among many factors affecting the operation safety of high-speed railway, the detection of personnel and foreign matter intrusion is difficult, and the preventive measures are limited, mainly because of its strong randomness and complexity. This paper systematically introduces the development status of high-speed railway line protection technology at home and abroad, especially summarizes the development status of high-speed railway line monitoring technology in China, and proposes a new design of foreign object intrusion detection and alarm device based on new sensors and networks, which has certain reference value for high-speed railway line protection and railway bureaus and departments in related fields.

Citation Download Citation

Sixuan Qiu, Ningzhou Li, Xiaojuan Wei, and Gaosong Li "Design and research of railway foreign material intrusion limit based on new sensor and network", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 1264014 (22 May 2023); https://doi.org/10.1117/12.2673511

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