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

Abstract

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.