Research On The Transmission Technology Of WiFi-Based Train Control Network

With the advent of the digital intelligence era,modern rail transportation is also developing towards digitalization and intelligence.In this process,the variety of network devices for trains has been increasing.However,traditional wired communication methods have been difficult to meet the new environment’s demand for efficient and flexible data exchange due to their limitations.At the same time,wireless technologies such as WiFi and 5G continue to develop and advance.In contrast,wireless transmission has many advantages such as portability,operability and ease of maintenance,and all these features can be reflected in industrial applications.Moreover,the use of wireless systems can also eliminate wiring troubles and related cost issues,and is much cheaper.Therefore,the research and development of advanced,innovative,stable,reliable and flexible train control network will become an inevitable trend.This dessertation is a study on the transmission technology of WiFi-based train control network,in which the main work is as follows:(1)This dessertation designs a WiFi access point based on the train network structure to realize the communication within the train WLAN consist network,and after hardware selection and circuit design,burns the system environment of Open WRT to make it have the function of wireless access point,and then builds a train network environment for this equipment to simulate the realization of information transfer and control in the train movement,and conducts communication test in the built network and tests The network performance is tested.(2)The IP addressing in the inauguration of train is studied,and a method of IP addressing based on the WLAN consist network is proposed,and the IP conversion between the backbone network and the WLAN consist network is carried out by the R-NAT algorithm,which makes the IP addressing across the WLAN consist network faster and more effective.(3)A neural network time delay prediction method based on phase space reconstruction is proposed to address the delay problem of train wireless network.This method reconstructs onedimensional chaotic time series in phase space according to the internal law through phase space reconstruction,and the prediction is performed by the BP neural network optimized by particle swarm algorithm.Simulation experiments show that this method has good prediction performance.