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概率积分法是条带开采地表移动和变形预计常用的方法,而概率积分法预计的精度取决于其预计参数的确定。以国内大量的条带开采实测资料为基础,应用相似理论对条带开采地表沉陷的相似现象进行了模糊聚类分析,计算出了条带开采地表沉陷预计参数。根据所得条带开采地表沉陷相似现象的分类及其地表沉陷预计参数,应用模式识别对待求条带开采地表沉陷预计参数进行了求取。工程实例表明,用模糊优化确定的预计参数进行条带开采地表移动和变形预计,其预计结果更加可靠、准确。
The probability integral method is a commonly used method for prediction of surface movement and deformation in strip mining. The accuracy of the probability integral method depends on the determination of its expected parameters. Based on a large number of strip mining data in China, this paper uses fuzzy clustering analysis to simulate the similar phenomenon of surface subsidence in strip mining with similar theory, and calculates the expected parameters of strip subsidence. According to the classification of surface subsidence and the expected parameters of surface subsidence, the pattern recognition is applied to obtain the expected parameters of surface subsidence for strip mining. The engineering examples show that predicting the surface movement and deformation of strip mining with the predicted parameters determined by fuzzy optimization, the predicted results are more reliable and accurate.