摘要
提出了一种包含粗定位和高精定位在内的复合定位系统,该系统可对井下作业人员的位置进行实时监测,从而实现及时救援和人员管理的目的;由于井下作业人员的位置会持续发生变化,所以信息采集过程中的位置信息具有滞后性,这对快速持续的高精度定位带来了巨大的挑战;基于该问题,提出了一种基于层次聚类的粗定位方法,通过对现有完整数据和目标可能位置进行信息融合和冗余去除来预测实际位置;然后,再在粗定位的范围内布设当前已有的高精度定位设备以实现高精度定位;仿真结果证明,提出的复合定位系统可以将定位范围从15 km缩小至500 m,且能够实现100%的拓扑预测精度。
A rough and high-precise compound positioning system is proposed,The system can realize timely rescue and personnel management by performing real-time monitoring for the location of workers.Since the position of the workers usually change,the position information in the process of information collection has a lag.Then,a huge challenge is brought to fast and continuous positioning.Therefore,a rough positioning method based on hierarchical clustering is proposed,which predicts the actual position by information fusion and redundant removal of the existing complete data and the possible position of the target.Then,the current existing high-precise positioning equipment is deployed in the range of rough positioning to achieve high-precise positioning.The simulation results show that the proposed compound positioning system can reduce the positioning range from 15 km to 500 m,and can achieve the topology prediction accuracy by 100%.
作者
范涌高
周怡敏
张玉玺
闫宋锟
朱丽娜
FAN Yonggao;ZHOU Yimin;ZHANG Yuxi;YAN Songkun;ZHU Lina(36th Research Institute of CETC,Jiaxing 314000,China;School of Telecommunications Engineering,Xidian University,Xi’an 710071,China)
出处
《计算机测量与控制》
2022年第2期201-206,共6页
Computer Measurement &Control
基金
国家青年科学基金项目(61601344)
国家重点研发计划(2020YFB1807700)。
关键词
实时定位
粗定位
层次聚类
信息融合
矿井
real-time positioning
rough positioning
hierarchical clustering
information fusion
coal mine
