Shandong Bureau of the National Mine Safety Administration Statistical Center
General Technology Group Engineering Design Co. , Ltd.
University of Emergency Management

针对现有开采预计软件计算模型与实际地质条件存在差异、无法预计开采块段内部厚度和起伏变化引起的不均匀沉陷的问题,提出了“先搭建骨架、后细部插值”的地质模型分级分步建模方法,并针对井下各开采微分单元煤厚、倾角等差异特点,对传统概率积分算法和公式进行了优化。在此基础上,开发了开采沉陷预计软件,并以赵楼煤矿5301工作面为工程实例,就现有算法和优化算法进行了对比,分析表明,优化后的概率积分法预计算法可以反映煤厚等差异引起的不均匀沉陷等问题,预计精度得到了提升。

A geological model classification and step-by-step modeling method was proposed to address the issue of differences between existing mining prediction software calculation models and actual geological conditions, as well as the inability to predict uneven subsidence caused by difference in internal thickness and undulation of mining blocks. The traditional probability integration algorithm and formula were optimized based on the characteristics of differences in coal thickness and dip angle of each mining differential unit underground, with the aim of building a framework first and then interpolating the details. On this basis, a software for predicting mining subsidence was developed, and the working face in Zhaolou Mine was taken as an engineering example to compare it with existing algorithms and optimization algorithms. According to the analysis, the optimized probability integral method prediction algorithm was capable to reflect the uneven subsidence caused by differences in coal thickness and other factors, and the prediction accuracy was improved.

中国通用技术集团自主创新资金项目(2018-14)

尹波,彭雷祥,王正超,等.基于精细地质建模的开采沉陷预计算法优化与应用研究[J].煤炭工程,2025,57(1):23-28.