基于改进遗传算法的矿井人员定位新算法  

New personnel localization algorithm in mine based on improved genetic algorithm

作　　者：李宁[1,2] 王李管[1,2] 贾明涛[1,2] 陈建宏[1] 

机构地区：[1]中南大学资源与安全工程学院,湖南长沙410083 [2]中南大学数字矿山研究中心,湖南长沙410083

出　　处：《中南大学学报（自然科学版）》2016年第3期929-935,共7页Journal of Central South University:Science and Technology

基　　金：国家高技术研究发展计划(863计划)项目(2011AA060407);国家自然科学基金资助项目(51374242);国家留学基金委资助项目(201306370143)~~

摘　　要：为了提高矿井人员定位精度,根据矿井巷道基站布设的实际情况,以无线信号传输理论模型为基础,提出周期性获取信号传输路径衰减指数的加权平均值,通过分析基站与标识卡之间的通讯约束条件,并借助改进的遗传算法提出矿井人员定位新算法,再利用MATLAB软件在相同条件下与加权质心算法和直接测距算法进行仿真对比。研究结果表明:新算法定位精度较高,同时3种定位算法的定位精度受巷道宽度影响较大。新算法不仅降低了人员定位的误差,而且具有较强的稳定性,适合各类复杂的巷道环境,为矿井人员精确定位提供了新方法。In order to improve the accuracy of the mine personnel localization, the comprehensive path attenuation index which is a weighted average of the periodic signal transmission path was proposed based on the actual situation of the mine roadway base station layout and the wireless signal transmission theory model. Through the analysis on communication constraints of between reference nodes and locating node, a new algorithm of locating node coordinates was developed combined with the improved genetic algorithm. The direct approach algorithm was compared with weighted centroid algorithm in MATLAB. The results show that localization precision of the new algorithm is higher, and at the same time localization precision of three localization algorithms is greatly influenced by roadway width. The improved personnel localization algorithm greatly reduces the personnel localization error and it is suitable for complex roadway environment, which provides a new method for the mine personnel localization.

关 键 词：人员定位 综合路径衰减指数 信号传输模型 改进的遗传算法 定位精度 

分 类 号：TD676[矿业工程—矿山机电]