DOI: 10.11799/ce202501004
Optimization and application of mining subsidence prediction algorithm based on fine geological modeling
YIN Bo
PENG Leixiang
WANG Zhengchao
ZHANG Lei
YIN Yichen
Abstract：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 5301 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.
Keywords：fine geological modelingmining subsidenceprediction algorithmprobability integral methodhierarchical modeling
Publication Date：2025-01-19
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 23-28 )