Non Mining Subsidence Monitoring System Of Xu Tuan Coal Mime And The Prediction Model

In the past century, human’s uncontrolled exploitation of groundwater has caused serious surface settlement all over the world. As a kind of widespread geological hazards, surface settlement can cause great harm to the earth’s natural environment and human daily life. As a coal mine industry square, there is a great threat which was caused by the main and auxiliary shafts’ base of mine subsidence which was leaded by the surface settlement in mine production and mine safe.Taking Xutuan coal mine as an example, the non-mining subsidence monitoring system of the coal mine industry square and the main and auxiliary shafts’base has been build based on principles and methods of deformation monitoring in this paper. According to National second order leveling standard,4times overall observations for subsidence monitoring network has been collected, and the secondary network has been lasted for9periods. The stability analysis of the reference points by the observation data. The quasi-stable adjustment has been used to process the first network observation data, and the difference has been tested for the working points. The fixed datum, gravity datum and quasi-stable datum were used to process the monitoring network data, the gravity datum has been selected as the adjustment datum of the monitoring network. From the results of adjustment data, the maximum settlement of the main and auxiliary shafts’base of mine were242.7mm and240.7mm, the maximum settlement difference were4.0mm and4.1mm. By contrasting the dynamic change curve of the drilling water level with the subsidence curve of the coal mine industry square, the result which the significant and hysteretic relationship between land subsidence and water level variation had been showed in this passage.The GM (1,1) model and the prediction method were introduced in this passage. According to the theory of grey system, the equal-dimension and new-information model was has been built after Equaled the interval of the non equal interval data sequence and preferred the best dimension through the comparison with the model error. From settlement prediction data, the maximum of predicting data residual error of the main and auxiliary shafts’base of mine were0.9mm and1.3mm. Through the model precision evaluation, the accuracy of model reached the highest level. The settlement value of the main and auxiliary shafts’base of mine in January2012was predicted at last.The adjustment program which designed to process settlement data and the GM(1,1) prediction program based on Microsoft Visual Studio2008were introduced in this passage.