基于加权质心定位的井下移动目标实时跟踪方法  

Real-time tracking method of underground moving target based on weighted centroid positioning

作　　者：张楠 史建华 亿吉 王平 ZHANG Nan;SHI Jian-hua;YI Ji;WANG Ping(College of Mechanical and Electrical Engineering,Shanxi Datong University,Datong 037003,China;College of Coal Engineering,Shanxi Datong University,Datong 037003,China)

机构地区：[1]山西大同大学机电工程学院,山西大同037003 [2]山西大同大学煤炭工程学院,山西大同037003

出　　处：《吉林大学学报（工学版）》2023年第5期1458-1464,共7页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家教育部2018年度产学合作协同育人项目(201802310022);山西省教育科学“十四五”规划课题(GH-21085);山西省高等学校哲学社会科学研究项目(2019W108)。

摘　　要：为保障井下作业人员的人身安全,提出基于WSNs加权质心定位的井下移动目标实时跟踪方法。确定传感器在井下布置方位和数量,并建立与邻居节点间的通信;选择和目标距离最近的节点形成定位边,利用加权质心定位算法赋予节点权值,并引入虚拟节点概念,计算虚拟节点位置估计移动目标具体位置;采用自主决策思想确定节点转换状态,根据状态设置跟踪过程,实现目标实时跟踪。结果证明:本文方法跟踪丢失率始终保持在0.02%以下,误差小,跟踪效率较高。In order to ensure the personal safety of underground operators,a real-time tracking method of underground moving target based on weighted centroid positioning of wireless sensor network is proposed.The location and number of sensors in the mine is determined,and communication with neighbor nodes is established;The node closest to the target is selected to form a positioning edge.The weighted centroid positioning algorithm is used to give the node weight.The concept of virtual node is introduced to calculate the virtual node position and estimate the specific location of the moving target.The autonomous decisionmaking approach is adopted to determine the node transition states,and a tracking process is established based on the states to achieve real-time tracking of the target..The results show that the tracking loss rate of the proposed method is always less than 0.02%,the error is small,and the tracking efficiency is high.

关 键 词：无线传感器网络 加权质心定位 井下移动目标 实时跟踪 自主决策 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]