摘要
为了提高纯电动物流车运行时的安全性和定位准确性,开发了一套纯电动物流车远程监控平台。该平台由车载监控模块和上位机监控软件构成,通过4G网络通信。然后提出基于Douglas-Peucker轨迹提取算法的曲线拟合地图匹配算法对车辆进行实时定位。实车试验结果表明,该监控平台能够实现对车辆数据的准确监控、采集和显示,对车辆的各项历史数据进行回放、提取和分析,且经新的地图匹配算法匹配之后车辆的定位准确,基本满足纯电动物流车远程监控系统的设计要求。
In this paper, in order to improve the safety and positioning accuracy of the electrical logistics vehicles in operation, we developed the electrical logistics vehicle remote monitoring platform. This platform eonsisted of an on-board monitoring module and the upper computer monitoring software and communicated through the 4G network. Then, we proposed the curve firing and map matching algorithm based on the Douglas-Peucker track extracting algorithm to position the vehicles in real-time. At the end, through a ground test, we found that ihe monitoring platform eould realize accurate monitoring, collection and display of the vehicle data, and could play hack, extract and analyze the various historical data of the vehicles.
作者
王晨辰
Wang Chenchen(Hubei Key Laboratory for Modem Automobile Spare Parts & Technology, Wuhan University of Technology, Wuhan 430070 Hubei Collaboration & Innovation Center for Automobile Spare Parts & Technology, Wuhan University of Technology, Wuhan 430070, China)
出处
《物流技术》
2017年第1期105-109,共5页
Logistics Technology
关键词
纯电动物流车
远程监控
北斗
地图匹配
electrical logistics vehicle
remote monitoring
Compassi map matching