在开采沉陷数据处理中,针对当前主断面移动与变形归化计算繁琐和概率积分参数求取方法缺乏稳健性问题,采用理论研究和模拟试验的方法开展系统研究,主要取得到如下成果:(1)提出一种基于坐标系统转换的主断面移动变形归化计算模型;(2)构建一种具有鲁棒性的概率积分参数反演新方法,该方法主要包括残差移动矢量模平方和最小求参准则、参数初值样本均匀设计、异常结果样本肖维涅探测和纯净结果样本加权处理4个有机组成部分。模拟试验结果表明,即使在参数初值样本大跨度(局部样本参数严重偏离真值)的情况下,该鲁棒性求参方法亦可反演出精准的概率积分参数。研究成果对开采沉陷监测数据处理具有重要参考价值。
There are two problems in processing the subsidence data due to mining, one is the complication of the procedure to calculate the movement and deformation in the main sectional plane, the other is lack of the robust method for parameter calculation. A modified model was put forward to calculate movement and deformation in the main sectional plane based on the coordinate system conversion. A robust inversion method with the probability integral was proposed based on the principle of minimum-quadratic residual sum of moving vector, the uniform design of parameters initialized samples, Chauvenet detection of abnormal samples and the weighted pure samples. The simulated experimental results showed that the robust method for parameter calculation can also invert the precise probability integral parameters, even if the initial sample of parameters with large span (partial sample parameters gravely deviates from the true value).