基于大数据技术的拖拉机定位和轨迹预测系统设计  

Design of Tractor Positioning and Trajectory Prediction System Based on Big Data Technology

作　　者：高美真[1] Gao Meizhen(Jiaozuo Normal College,Jiaozuo 454000,China)

机构地区：[1]焦作师范高等专科学校,河南焦作454000

出　　处：《农机化研究》2023年第8期259-263,共5页Journal of Agricultural Mechanization Research

基　　金：河南省科技厅软科学研究项目(212400410223)。

摘　　要：采用大数据技术和隐马尔科夫模型,对拖拉机轨迹预测进行了研究。为了高效、精准地对拖拉机进行实时定位,在5G节点信号强度矢量进行定位的基础上,采用隐马尔科夫的轨迹对拖拉机定位信息进行精确定位。实验结果表明:拖拉机轨迹预测的准确度在0.9左右,符合设计需求。系统具有较高的准确度,对拖拉机定位和轨迹预测具有一定的参考意义。It studied the tractor trajectory prediction by using big data technology and Hidden Markov.In order to locate the tractor in real time efficiently and accurately,it used the hidden Markov trajectory to accurately locate the tractor positioning information based on the 5G node signal strength vector.The experimental results show that the accuracy of tractor trajectory prediction is about 0.9,which meets the design requirements.It proves that the system has high accuracy,which has certain reference significance for tractor positioning and trajectory prediction.

关 键 词：拖拉机 实时定位 轨迹预测 大数据 隐马尔科夫模型 

分 类 号：S219.0[农业科学—农业机械化工程] TP319[农业科学—农业工程]