分布式矿震监测系统的震源定位优化研究  

Research on Source Positioning Optimization of Distributed Microseism Monitoring System

作　　者：有鹏[1,2] 赵小虎[2] 李富强[1] 刘勇[1] 

机构地区：[1]中国矿业大学徐海学院,江苏徐州221008 [2]中国矿业大学物联网(感知矿山)研究中心,江苏徐州221008

出　　处：《煤炭技术》2018年第3期226-228,共3页Coal Technology

基　　金：国家重点研发计划(2016YFC0801405);江苏省高等学校自然科学研究面上项目(17KJD510007)

摘　　要：针对矿山地震给我国的煤炭行业带来了巨大经济损失和人员伤亡的现状,提出了分布式矿震监测系统模型。对分布式系统作出分析,给出分布式矿震监测系统的设计方案、系统模型和实现方法。提出了使用GA算法对震源定位非线性求解进行优化,针对传感器网格位置完成基于卡尔曼滤波的RSSI测距模型和定位模型优化。可以提高计算效率和精度,及时、准确、高效地预测矿山微地震发生的位置和危害性,在一定程度上降低了煤矿灾害对人员和财产的损害。For the status of mine earthquake brought huge economic losses and casualties to our country＇s coal industry, proposed distributed mine earthquake monitoring technology. Based on analysis of distributed system, designed distributed mieroseism monitoring system, system model and implementation. And presented the optimization of nonlinear solution of mine earthquake source location by GA algorithm, RSSI ranging model and positioning model for sensor grid location based on Kalman filter. The system can timely, accurately and efficient predict location and harmfulness of the microseism, to a certain extent, reduce the mine disasters of personnel and property damage.

关 键 词：分布式系统 遗传算法 卡尔曼滤波 RSSI模型 

分 类 号：TD76[矿业工程—矿井通风与安全]