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Kalman滤波在地表移动观测站沉降监测中的应用研究
引用本文:吕伟才,秦永洋,孙兴平,郭红星. Kalman滤波在地表移动观测站沉降监测中的应用研究[J]. 合肥工业大学学报(自然科学版), 2011, 0(9): 1370-1374
作者姓名:吕伟才  秦永洋  孙兴平  郭红星
作者单位:安徽理工大学测绘学院;淮南矿业(集团)有限责任公司顾桥煤矿;
基金项目:安徽高校省级自然科学研究重点资助项目(KJ2010A104)
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.

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

Application of Kalman filtering in monitoring of surface subsidence by the observation station
LV Wei-cai,QIN Yong-yang,SUN Xing-ping,GUO Hong-xing. Application of Kalman filtering in monitoring of surface subsidence by the observation station[J]. Journal of Hefei University of Technology(Natural Science), 2011, 0(9): 1370-1374
Authors:LV Wei-cai  QIN Yong-yang  SUN Xing-ping  GUO Hong-xing
Affiliation:LV Wei-cai1,QIN Yong-yang2,SUN Xing-ping2,GUO Hong-xing2(1.School of Geomatics,Anhui University of Science and Technology,Huainan 232001,China,2.Guqiao Coal Mine of Huainan Mining Group,Huainan 232150,China)
Abstract: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.
Keywords:Kalman filtering  mining subsidence  surface displacement observation station  subsidence monitoring  dynamic prediction  
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