摘要
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.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2011年第9期1370-1374,共5页
Journal of Hefei University of Technology：Natural Science
基金
安徽高校省级自然科学研究重点资助项目(KJ2010A104)
关键词
卡尔曼滤波
开采沉陷
地表移动观测站
沉降监测
动态预报
Kalman filtering
mining subsidence
surface displacement observation station
subsidence monitoring
dynamic prediction
