智能交通车辆位置单历元RTK/5G云端监控系统设计与实现  

Design and implementation of single⁃epoch RTK/5G cloud monitoring system for intelligent transportation vehicle location

作　　者：周命端 姬旭 王坚 罗德安 ZHOU Mingduan;JI Xu;WANG Jian;LUO Dean(School of Geomatics and Urban Spatial Informatics,Beijing University of Civil Engineering and Architecture,Beijing 102616,China;Institute of Science and Technology Development,Beijing University of Civil Engineering and Architecture,Beijing 102616,China)

机构地区：[1]北京建筑大学测绘与城市空间信息学院,北京102616 [2]北京建筑大学科学技术发展研究院,北京102616

出　　处：《现代电子技术》2022年第6期14-20,共7页Modern Electronics Technique

基　　金：国家重点研发计划项目(2017YFB0503700);中国建设教育协会教育教学科研一般课题(2021045)。

摘　　要：针对传统GNSS导航模块伪距单点定位监控交通车辆位置存在定位精度低的弊端,文中提出一种基于GNSS载波相位单历元RTK/5G的交通车辆位置高精度实时监控云端技术。基于GNSS载波相位单历元动态定位模型,以双频数据为例,给出利用DUFCOM和DC算法相组合的单历元双差整周模糊度快速确定算法(FARSE)的实现流程,并探讨实现实时监控的5G移动通信核心技术。基于Visual Studio 2010平台,利用C#编程语言,设计并开发一种基于GNSS载波相位单历元RTK/5G的交通车辆位置精准监控软件,并无缝嵌入腾讯云服务器,构建云端在线监控系统(GNSS_ITMS)。实验结果表明,GNSS_ITMS系统云端在线监控精度的北向RMS优于2 cm,东向RMS优于2 cm,高程RMS优于5 cm。文中算法及云端在线监控系统可行且有效,可为智能交通车辆位置实时全过程监控提供一种云端在线高精度的解决方案。In allusion to the disadvantage of low accuracy of pseudo⁃range single point positioning of the traditional GNSS navigation module for traffic vehicle position monitoring,a high⁃precision real⁃time monitoring cloud technology for traffic vehicle position based on GNSS carrier phase single⁃epoch RTK/5G is proposed.Based on GNSS carrier phase single⁃epoch dynamic positioning model,taking dual frequency data as an example,the implementation process of single⁃epoch double difference integer ambiguity fast determination algorithm combining with DUFCOM and DC algorithm is given,and the core technology of 5G mobile communication for real⁃time monitoring is discussed.Based on Visual Studio 2010 platform,a transportation vehicle position accurate monitoring software based on GNSS carrier phase single⁃epoch RTK/5G is designed and developed by means of C#programming language,which is seamlessly embedded into Tencent cloud server to build a GNSS_ITMS.The experimental results show that the accuracy of cloud online monitoring of GNSS_ITMS is better than 2 cm in north RMS,better than 2 cm in east RMS,and better than 5 cm in elevation RMS.The algorithm and cloud online monitoring system proposed in this paper are feasible and effective,and can provide a cloud online high⁃precision solution for the real⁃time whole⁃process monitoring of the intelligent transportation vehicle position.

关 键 词：智能交通系统 单历元动态定位 5G移动通信 车辆位置监控 软件开发 GNSS_ITMS 

分 类 号：TN948.64-34[电子电信—信号与信息处理]