| Popis: |
It is difficult to accurately calculate the predicting parameters of surface displacement of mining subsidence. Based on the measured data of the ground movement observation station in North China, The probability integral method is taken as mathematical model of Surface movement parameters fitting, the curve-fitting of the measured data is carried out by using Matlab’s efficient data processing and mapping function, thus it becomes easy to obtain accurate predicting parameters of mining subsidence. By comparing the measured data with the curve-fitting results, the research shows that the fitting results based on Matlab is more accurate, and meet the requirements of practical engineering. It is important and practically significant to improve the predicting accuracy of mining subsidence, give scientific and rational guidance to mining under the buildings, railways and water bodies. |
