面向京张高速铁路智能车站生产要素感知的异构物联网关键技术研究

Key Technologies of Heterogeneous Io T for Production Factor Perception in Intelligent Stations of Beijing-Zhangjiakou High Speed Railway

京张高速铁路智能车站作为北京冬奥会期间的重要交通枢纽,采用5G通信、物联网等技术,实时感知站内各生产因素的状态,保障车站稳定运行。由于京张高速铁路智能车站“人员—设备—环境”等生产因素种类繁多,状态信息复杂多样,因而需采用融合蜂窝物联网和多类型无线传感器网络的异构物联网技术,实现对站内生产因素多源状态信息的智能感知。通过构建基于异构物联网的智能车站生产要素感知系统总体架构,对比多种典型无线异构物联网技术的传输性能,分别提出云边协同的5G NB-Io T蜂窝物联网和多类型无线传感器网络的组网方案,最后描述了京张高速铁路智能车站生产要素感知系统的成果应用,可以为面向京张高速铁路智能车站生产要素感知的网络部署和应用实施提供理论指导。

As important transportation hubs during the Beijing Olympic Winter Games,the intelligent stations of the Beijing-Zhangjiakou High Speed Railway(HSR)employ 5G communication and Internet of Things(Io T)technologies to perceive the status of various production factors in real time and ensure stable operation.There are various production factors such as personnel-equipment-environment in the intelligent stations of Beijing-Zhangjiakou HSR,resulting in complex and diverse status information.Thus,the heterogeneous Io T technology integrating the cellular Io T and multitype wireless sensor networks is necessary to realize the intelligent perception of multi-source status information related to production factors in the stations.Firstly,the overall architecture of the production factor perception system based on heterogeneous Io T was constructed in the intelligent stations.Then the transmission performance of various typical wireless heterogeneous Io T technologies was compared.The network schemes of both 5G cellular NB-Io T based on cloud-side collaboration and multi-type wireless sensor networks were proposed separately.Finally,the application effects of the system in the intelligent stations of Beijing-Zhangjiakou HSR were described.This study can provide theoretical guidance for the network deployment and application implementation of production factor perception in the intelligent stations of Beijing-Zhangjiakou HSR.