基于蚁群算法的矿井突水灾害预测研究  

Research on Prediction of Mine Water Inrush Disaster Based on Ant Colony Algorithm

作　　者：任传建 刘吉波 雷勇 王志红 汪李辉 REN Chuanjian;LIU Jibo;LEI Yong;WANG Zhihong;WANG Lihui(School of Mining Engineering,Guizhou University of Engineering Science,Bijie 551700,China)

机构地区：[1]贵州工程应用技术学院矿业工程学院,贵州毕节551700

出　　处：《测绘与空间地理信息》2021年第9期46-48,52,共4页Geomatics & Spatial Information Technology

基　　金：贵州省教育厅青年科技人才成长项目——模拟矿井井下测量实训基地建设研究(黔教合KY字〔2016〕283);贵州省科技计划项目——蚁群算法结合复杂水文地质条件的毕节地区煤矿突水灾害预测(黔科合LH字〔2017〕7017号)资助。

摘　　要：矿山开采深度的不断增加,使得水文地质条件变得更加复杂多变。矿山突水灾害时刻威胁着矿山的安全生产,因此,对于矿山水害的预测与清除变得越来越重要。本文采用蚁群算法结合矿山水文地质条件,利用C#编制了基于蚁群算法的矿山水害程序,程序运行结果清晰显示了水源路径,通过该路径可预测水害到达位置,有利于提前做好突水防范。The continuous increase in mining depth has made hydrogeological conditions more complex and changeable.Mine water inrush is always threatening the safety of mine production.Therefore,more and more attention is paid to the prediction and removal of mine water damage.In this paper,the ant colony algorithm is combined with the hydrogeological conditions of the mine itself,and the mine water disaster program based on the ant colony algorithm is compiled using C#,which can clearly show the water source path,and discusses the feasibility of the ant colony algorithm in mine disaster prediction.The results benefit the water inrush prevention.

关 键 词：矿山突水 蚁群算法 地质条件 路径 

分 类 号：P25[天文地球—测绘科学与技术] TB22[天文地球—大地测量学与测量工程]