| In the modern city, traffic pollution, transportation energy consumption, and traffic congestion are three urgent problems. To work out these problems, developing urban rail transit is a resultful measure, and for urban rail transit, the core factor in safe operation is the safe running of train. The Urban Rail Train Intellisense Network can guarantee the safe running of the train, which would monitor the running state of the train, find the malfunction of the train, and predict the potential safety hazard of the train. Howerer, there are less methods to assess the Urban Rail Train Intellisense Network, which are about the structure of the network, the performance of the network, and the performance of nodes used in the network. As a consequence, to impove the performance, enhance the reliability, and elevate the service quality of the Urban Rail Train Intellisense Network, studying the methods to assess the Urban Rail Train Intellisense Network and establishing the assessment system of Urban Rail Train Intellisense Network are quite necessary.In this paper, an assessment system of the Urban Rail Train Intellisense Network was established. First, through analyzing the particularity of the Urban Rail Train Intellisense Network, the paper found that the topology structure, performance of the network, and performance of nodes were high demanded on by the Urban Rail Train Intellisense Network. Then referenced to the traditional assessment methods, an evaluation system was put forward by this paper. There were three parts in the system, which were the method to assess the backbone network based on reliability, the method to assess the combination performance of the network, and the method to assess the performance of nodes used in the network. According to the reliability theory, the paper established the evaluation model to assess the reliability of backbone network structure. On the ground of the view of combination evaluation, the paper presented the evaluation model to assess the performance of the network. On the basis of the theory of gray relation analysis, the paper proposed the evaluation model to assess the performance of the nodes. The methods this paper proposed were vertified to be effective, reasonable and usable by experiments. Finally, in view of the demand of visualization when testing the nodes used in Urban Rail Train Intellisense Network continuously, the paper designed and developed the visualization system for testing, and the actual operation proved that the visualization system was steady and reliable. |
