融合IoT+GIS的中老铁路国际货运列车远程监测分析系统探讨
Discussion on Remote Monitoring and Analysis System of International Freight Trains on China-Laos Railway Integrating IoT+GIS
张义川 1杨文韬 1王瑶 1马玉坤1
作者信息
- 1. 中国铁道科学研究院集团有限公司 运输及经济研究所,北京 100081
- 折叠
摘要
随着"一带一路"倡议的深入推进,中老铁路货运市场在未来一段时间内将持续增长,货物安全性和运输时效性要求越来越高.基于中老铁路国际货运列车远程监测需求提出了融合IoT+GIS的中老铁路国际货运列车远程监测分析系统,研究设计了系统结构、体系架构、技术架构和功能模块.系统平台关键技术方面,基于GIS地理信息构建技术,解决了中老铁路通道中经纬度坐标缺失、信息分级分类不明确、编码规则不统一问题.基于监测数据纠偏技术,实现对监测位置数据的去噪、抽稀、补点和绑路,提高系统平台位置匹配效率.基于全程运输时效分析技术,实现运到时限、货物监测预测、车站作业效率的分析.研究成果可以为中老铁路国际货运列车的运营决策提供技术支撑.
Abstract
With the implementation of the"Belt and Road"Initiative,China-Laos railway freight market will continue to grow in the future,and the requirements for cargo safety and transportation timeliness will become increasingly high.Based on the remote monitoring needs of international freight trains on China-Laos Railway,the remote monitoring and analysis system of international freight trains on China-Laos Railway integrating IoT+GIS was proposed.The system structure,system architecture,technical architecture,and functional modules were studied and designed.In terms of key technologies of the system platform,based on the geographic information system(GIS)construction technology,the system solved the problems of missing latitude and longitude coordinates,insufficient information classification,and inconsistent coding rules in the China-Laos railway corridor.Based on the monitoring data correction technology,the system achieved noise reduction,thinning,point supplementation,and road binding of the monitoring location data,improving the location matching efficiency of the system platform.Based on the whole-process transportation timeliness analysis technology,the system realized the analysis of delivery time limit,freight monitoring forecast,and station operation efficiency.The research results could provide technical support for the operation decision-making of international freight trains on China-Laos Railway.
关键词
中老铁路/集装箱/监测系统/地理信息/数据纠偏/运输时效Key words
China-Laos Railway/Container/Monitoring System/Geographic Information/Data Correction/Transportation Timeliness引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据