High-speed railway perimeter intrusion detection approach based on Internet of Things

被引：12
|
作者：
Xie, Zhengyu [1 ,2 ]
Qin, Yong [1 ]
机构：
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China
[2] Beijing Jiaotong Univ, Sch Traff & Transportat, 3 Shangyuancun, Beijing 100044, Peoples R China
来源：
ADVANCES IN MECHANICAL ENGINEERING | 2019年 / 11卷 / 02期
基金：
国家重点研发计划;
关键词：
High-speed railway; perimeter; intrusion detection; sensor networks; Internet of Things; DETECTION SYSTEM; DATA FUSION;
D O I：
10.1177/1687814018821511
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Efficient perimeter intrusion detection approach is vital to safety management of China high-speed railway. In this article, for high-speed railway perimeter intrusion detection problem, a perimeter intrusion detection framework based on Internet of Things is designed to integrate different detection sensors. A data fusion algorithm was proposed to fuse multisensor data for improving detection precision. Computational results of normal condition and severe weather environment show our approach is effective and efficient for high-speed railway perimeter intrusion detection under Internet of Things, and is significant for safety management of China high-speed railway.
引用
收藏
页数：9
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