Abstract
In order to improve the information fusion and early warning of rail transit signal operation and maintenance, this paper proposes a method based on big data of Internet of Things. Firstly, the basic intelligent sensing network of Internet of Things is put forward, which integrates perception, information processing and communication, and the content is expounded and the key points are analyzed. Secondly, based on the dynamic OD traffic flow estimation model of path recognition, using the time of the vehicle on the main line to calculate the running speed of the vehicle is more in line with the free-flow vehicle situation. The data is normalized by least square estimation, which is beneficial to the comprehensive analysis of information and data. Finally, the intelligent operation and early warning of intelligent highway are analyzed, which provides support for the construction of intelligent highway. It proves that the big data based on the Internet of Things can effectively realize timely and effective early warning and alarm services, which provides support for the establishment of an active operation and maintenance mode focusing on prevention.
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