Kalman滤波在地表移动观测站沉降监测中的应用研究

Application of Kalman filtering in monitoring of surface subsidence by the observation station

文章根据Kalman滤波理论,结合矿区开采沉陷监测的需要,建立了对地表移动观测站沉降监测进行动态处理的标准Kalman滤波模型和预测预报模型;利用顾桥矿1117(1)首采面观测站的实测资料,对所建立的滤波模型和预测预报模型进行了检核,结果表明所建模型基本能满足开采沉陷工程治理的要求。

According to Kalman filtering theory and the needs of mining subsidence monitoring,the standard Kalman filtering model and predicting model of the surface subsidence are advanced which is monitored by the surface displacement observation station.These models are tested by the data from the 1117（1） First Exploiting Face Observation Station in Guqiao Mine,and meet the requirement for mining subsidence management engineering.