改进的LANDMARC算法在隧道人员定位中的应用

Application of Improved LANDMARC Algorithm in Tunnel Personnel Location

介绍LANDMARC k-邻居定位算法原理,结合信号回波强度传播损耗模型,考虑隧道环境的恶劣性以及电磁波的折射、反射、多径效应等因素的影响,将该算法进行改进,引入参考标签可信度的概念,对其权重进行修订,解决标签的失效和信号强度读取错误的弊端;动态设置参考标签的数目,有效提高定位精度。利用Intel公司的R1000射频识别开发平台,将改进算法应用到隧道人员定位系统中。实验结果表明,改进的算法具有更高的定位精度:1m以内的标签占70%,95%的标签定位误差小于1.5m,且最大误差控制在2m以内,对提高隧道人员的安全管理水平有着重要作用。

The basic principle of LANDMAC k-nearest neighbor locating algorithm was introduced.Combined with the received signal strength model and considering the adverse environment in tunnels and the impacts of refraction,reflection,multi-path effects and other factors,the locating algorithm was improved by introducing the concept of reference tags credibility and revising its credit weight to effectively solve the drawbacks of the tag failure and signal strength reading errors.The location accuracy was effectively improved by dynamically setting the number of reference tags.Based on Intel＇s R1000 RFID development platform,the improved algorithm was applied to tunnel personnel location system.The experiment results show that the improved algorithm can achieve better locating accuracy：The tags with the location accuracy within 1 meter account for 70 percent.The location error of 95 percent of the tags is less than 1.5 meters and the maximum error is kept within 2meters.The improved algorithm provides great significance in improving the level of safety management for the tunnel personnel.