摘要
煤矿安全避险六大系统是煤矿安全生产的重要保障条件,为提高井下人员的精准定位,针对传统加权质心算法的不足,提出了改进加权质心算法。该算法在三角质心算法的基础上,取五个信标节点,2次利用修正加权质心算法求出未知节点的坐标值,实现人员的精准定位。实验结果表明:改进加权质心算法的平均误差为0.41m,比一般加权质心算法的平均误差减少了1.16m,比修正加权质心算法的平均误差减少了0.66m,且改进加权质心算法的最大值和最小值也明显优于其他两种算法。基于接收信号强度RSSI的改进加权质心算法定位更精确,更能满足于井下人员定位的要求。
Six major systems of coal mine safety avoidance are important guarantee conditions for coal mine safety production.In order to improve the accurate positioning of underground personnel,an improved weighted centroid algorithm is proposed to overcome the shortcomings of traditional weighted centroid algorithm.Based on the triangular centroid algorithm,the algorithm takes five beacon nodes and uses the modified weighted centroid algorithm to calculate the coordinates of unknown nodes twice,so as to realize the precise positioning of personnel.The experimental results show that the average error of the improved weighted centroid algorithm is 0.41m,1.16M less than that of the general weighted centroid algorithm,0.66M less than that of the modified weighted centroid algorithm,and the maximum and minimum values of the improved weighted centroid algorithm are obviously better than those of the other two algorithms.The improved weighted centroid algorithm based on received signal strength RSSI can locate more accurately and meet the requirement of underground personnel location.
作者
周孟然
黄曼曼
闫鹏程
胡锋
卞凯
ZHOU Mengran;HUANG Manman;YAN Pengcheng;HU Feng;BIAN Kai(School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan Anhui 232001, China;School of Computer Science and Engineering, Anhui University of Technology, Huainan Anhui 232001,China)
出处
《安徽理工大学学报(自然科学版)》
CAS
2020年第1期1-5,15,共6页
Journal of Anhui University of Science and Technology:Natural Science
基金
国家“十二五”科技支撑计划重点项目(2013BAK06B01)
国家重点研发计划基金资助项目(2018YFC0604502)
国家安全生产重大事故防治关键技术科技基金资助项目(anhui-0001-2016AQ)
安徽省青年科学基金资助项目(1808085QE157)。
关键词
煤矿安全
改进加权质心算法
未知节点
平均误差
人员定位
coal mine safety
improved weighted centroid algorithm
unknown nodes
average error
personnel positioning