Traffic Classification Identification And Modeling Of Train Control And Service Network

High-speed train communication network is equivalent to the high-speed train's nerve center.The development of high-speed train's communication network provides a powerful driving force for the comfort target.Available related researches on high-speed train network only considered the train control business and did not involve the passenger service business in the train communication network transmission.Also,they did not achieve the train control and service business integration transmission.To achieve the integrated transmission of train control and passenger service business,we must abandon the traditional train network transmission technology,like TCN and ARCNET,whose volume and technology's development are limited,to develop our independent intellectual property rights of network control and service integration Network(TCSN)technology based on industrial Ethernet,to ensure the traditional train control business transmission at the same time,to meet the diverse needs of passenger services to improve the quality of high-speed train services.Based on this background,this thesis focuses on the research of train control and service network(TCSN)service classification,identification,traffic modeling and traffie-based TCSN performance simulation test based on the national support project.TCSN has a wide range of network business.A variety of business traffic characteristics and requirements of transmission services quality vary from each other.In order to transmit the traffic of TCSN distinctively,the first step is business classification and identification.In this thesis,the classification and recognition of train control and passenger service business are carried out according to the characteristics of high-speed train network service.TCSN traffic classification and DSCP coding are completed,and the scheme suitable for train service identification is summarized.In addition,in order to carry out effective traffic policing and shaping,queue management and scheduling in TCSN,it is necessary to quantitatively analyze the service traffic characteristics and transmission service quality requirements of TCSN on the basis of TCSN service identification and classification.Two types of service data of train control and passenger service in TCSN network are analyzed and classified in this thesis.It mainly analyzes the traction,braking,driver,auxiliary power,door,air conditioner and display in train control business,as well as passenger services of the mobile application business,including mobile QQ,WeChat,Youku video,cool dog music and other applications business.Based on the analysis of two types of services,traffic modeling is carried out on the two types of services,and the simulated traffic is generated according to the traffic model.The train control business model is mainly based on the train vehicle equipment interface data and related references to establish.The biggest difference between the passenger service business and the general network is the network application mode and the network access density.In this thesis,through the combination of capturing analysis and theoretical analysis,the model of passenger service flow is established by simulating the train environment in the laboratory.In the part of TCSN network simulation based on business,the network model,the node model and the process model used in the simulation are establisheed.The network topology adopts the switched Ethernet structure and reference DiffServ model to simulate and analysis network performance.The packet loss.under the two queuing algorithms of PQ and WFQ is compared and obtained by simulation.The performance parameters such as maximum traffic,delay and packet loss rate can be obtained by TCSN network simulation.