铁路旅客服务信息系统智能化的研究

Research on intelligentization of railway passenger service information system

为了提高铁路旅客服务信息系统智能化水平,需要进行铁路信息系统的旅客服务信息智能融合处理,提出一种基于分段线性融合均衡调度的铁路旅客服务信息系统智能化调度算法。构建旅客服务信息存储模型,设计旅客服务信息存储的信息系统,进行存储节点的优化部署设计,提取分布式异构环境下旅客服务信息的高阶统计量特征信息,采用支持向量机聚类方法对提取的旅客服务信息统计信息进行分类处理,进行旅客服务信息的分组融合,提高铁路旅客服务信息系统传输信道的均衡性能,在传输链路层中实现旅客服务信息的分布式存储和资源共享。仿真结果表明,采用该方法进行旅客服务信息智能化调度的吞吐性能较好,存储数据的比特量增大,误码率较低,提高了旅客服务信息的智能管理能力。

In order to improve the intelligent level of railway passenger service information system,it is necessary to carry out intelligent fusion processing of passenger service information of railway information system,and propose an intelligent dispatching algorithm of railway passenger service information system based on piecewise linear fusion equalization scheduling.The passenger service information storage model is constructed,the information system of passenger service information storage is designed,the optimal deployment design of storage nodes is designed,and the high-order statistics feature information of passenger service information in distributed heterogeneous environment is extracted.The support vector machine clustering method is adopted.The extracted passenger service information statistics are classified,the passenger service information is grouped and merged,the balance performance of the railway passenger service information system transmission channel is improved,and the distributed storage and resource sharing of passenger service information is realized in the transmission link layer.The simulation results show that the throughput performance of passenger service information intelligent scheduling is better,the bit size of stored data is increased,the bit error rate is lower,and the intelligent management capability of passenger service information is improved.