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:2019,28(6):172-177
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基于北斗定位技术的铁路机车轨道电子地图生成算法
(1.中国铁道科学研究院集团有限公司 电子计算技术研究所, 北京 100081;2.河南思维信息技术有限公司, 郑州 450000;3.株洲中车时代电气股份有限公司, 株洲 412001;4.成都运达科技股份有限公司, 成都 611731)
Railway Track Electronic Map Generation Algorithm Based on Beidou Positioning Technology
(1.Institute of Computing Technology, China Academy of Railway Sciences Co. Ltd., Beijing 100081, China;2.Henan Thinking Information Technology Co. Ltd., Zhengzhou 450000, China;3.Zhuzhou CRRC Times Electric Co. Ltd., Zhuzhou 412000, China;4.Chengdu Yunda Technology Co. Ltd., Chengdu 611731, China)
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投稿时间:2018-12-13    修订日期:2019-01-08
中文摘要: 随着中国机车远程监测与诊断系统(CMD系统)中注册机车数量的迅速增长,积累的大量北斗定位数据对生成精度较高的轨道电子地图提供了必要的数据基础.但由于机车下发的北斗数据会存在一定偏差,造成机车定位出现偏移或定位成孤点的现象.本文通过卡尔曼(Kalman)滤波算法构建预测方程对北斗数据集中的野值数据进行剔除,进一步对处理后的经纬度数据进行分段曲线拟合,从而生成列车轨道电子地图.实例分析表明采用基于Kalman滤波算法和分段曲线拟合方法对北斗定位数据进行电子地图生成,能够较为准确的贴近真实轨道线路走势.
Abstract:With the rapid growth of the number of registered locomotives in CMD system, a large amount of Beidou positioning data accumulated provides a necessary data foundation for generating orbital electronic maps with higher precision. However, the Beidou data sent by the locomotive will have a certain deviation, resulting in the displacement of the locomotive positioning or positioning as isolated points. In this study, the prediction equation was constructed by Kalman filtering algorithm to eliminate the outlier data in the Beidou data set, and the processed longitude and latitude data were further fitted with segmental curves, thus generating the electronic map of train track. The case analysis shows that using Kalman filtering algorithm and segmental curve fitting method to generate electronic map of Beidou positioning data can get close to real track line trend accurately.
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基金项目:中国铁路总公司科技研究开发计划(2014J011-A)
引用文本:
龚利,沙建领,赵超,崔毅.基于北斗定位技术的铁路机车轨道电子地图生成算法.计算机系统应用,2019,28(6):172-177
GONG Li,SHA Jian-Ling,ZHAO Chao,CUI Yi.Railway Track Electronic Map Generation Algorithm Based on Beidou Positioning Technology.COMPUTER SYSTEMS APPLICATIONS,2019,28(6):172-177

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