基于RSSI井下人员定位Trilateration-GSA算法研究

Research on Trilateration-GSA algorithm for underground personnel location based on RSSI

针对煤矿井下人员定位不精确这一实际问题,研究了基于ZigBee的无线网络井下人员定位监测技术,并且提出了一种基于RSSI接收信号强度进行精确定位优化的TrilaterationGSA算法。通过对ZigBee无线网络的搭建,用多边测距算法得到多组预测定位信息,通过引力搜索算法(GSA)进行数据的优化,减少煤矿井下特殊环境对定位信息的影响,实现了对井下人员的精确定位。使用MALTAB进行模拟煤矿的环境搭建并且进行仿真测试,并对测试数据进行误差分析,测试结果显示了该算法可以提高井下人员实时位置监测的精度,为井下人员的管理提供了技术支持,具有较好的应用价值。

Aiming at the fact that the location of personnel in coal mine is not precise,the location and monitoring technology of underground personnel in wireless network based on ZigBee was studied,and a Trilateration-GSA algorithm was proposed based on RSSI to receive signal strength for precise location optimization. Through the platform of the ZigBee wireless network,getting the location information with multi group forecast multilateral location algorithm,and then through the gravitational search algorithm ( GSA) for data optimization, so as to reduce the influence of special underground environment of location information,and then realize the precise location of underground personnel. Using MATLAB to simulate the environment of the coal mine and to carry out the simulation test,according the test data to error analysis,test results show that this algorithm can improve the accuracy of monitoring real-time location of underground personnel,provide technical support for underground personnel management,with good application value.