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Efficient dispatching system of railway vehicles based on internet of things technology
Pattern Recognition Letters ( IF 3.9 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.patrec.2020.12.011
Qi Zhang , Tao Wang , Kang Huang , Feng Chen

With the rapid development of national economy and logistics industry, more and more railway transportation is used. Therefore, the design and development of the railway vehicle dispatching information system and the optimization of the utilization rate of vehicle logistics space are of great practical significance for the railway vehicle enterprises to improve their economic benefits. Based on the Internet of things technology, this paper designs a logistics vehicle scheduling system which includes the functions of vehicle enterprise information management, scheduling and transportation management. The system includes basic information management, goods transportation management, acceptance review, scheduling planning, transportation tracking, report management and other functional modules. Users can realize department management, employee management, goods collection and transportation, and efficient vehicle scheduling and arrangement in railway vehicle enterprises through the system. Through collecting the train information and establishing the database, the train scheduling problem is solved on the database platform. The experimental results show that the optimal solution is 350.36 and the algorithm is stable. Finally, according to the simulation results, the effectiveness of the railway vehicle scheduling system based on the cultural relic networking technology is verified.



中文翻译:

基于物联网技术的铁路车辆高效调度系统

随着国民经济和物流业的快速发展,越来越多的铁路运输被使用。因此,铁路车辆调度信息系统的设计与开发以及车辆物流空间利用率的优化对提高铁路企业的经济效益具有重要的现实意义。基于物联网技术,设计了一种物流车辆调度系统,该系统包括车辆企业信息管理,调度和运输管理功能。该系统包括基本信息管理,货物运输管理,验收审查,调度计划,运输跟踪,报告管理等功能模块。用户可以实现部门管理,通过该系统在铁路车辆企业中进行员工管理,货物收集和运输以及有效的车辆调度和安排。通过收集列车信息并建立数据库,在数据库平台上解决了列车调度问题。实验结果表明,最优解为350.36,算法稳定。最后,根据仿真结果,验证了基于文物联网技术的铁路车辆调度系统的有效性。实验结果表明,最优解为350.36,算法稳定。最后,根据仿真结果,验证了基于文物联网技术的铁路车辆调度系统的有效性。实验结果表明,最优解为350.36,算法稳定。最后,根据仿真结果,验证了基于文物联网技术的铁路车辆调度系统的有效性。

更新日期:2021-01-18
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