煤矿安全2024，Vol.55Issue(8)：184-190,7.DOI:10.13347/j.cnki.mkaq.20231332
基于C#语言与ArcGIS Engine的开采沉陷预计系统开发
Development of mining subsidence prediction system based on C#language and ArcGIS Engine
摘要
Abstract
In order to predict the surface movement and deformation caused by coal seam mining,a mining subsidence estimation system is designed and developed with the help of C#language and ArcGIS Engine component tool library based on the probability integration method of polar coordinate system.The system is applicable to irregularly shaped mining workings,and is capable of pre-dicting the subsidence,horizontal movement,horizontal deformation,tilt and curvature of various points on the surface of the min-ing area after different mining times,and post-process the prediction results to draw the surface movement and deformation cloud map.Taking 308 working face mining of a mine in Shaanxi Province as an example,the probability integral parameters are selected according to the mining conditions and formation lithology of the working face and are substituted into the system to predict the sur-face movement and deformation,and the results are compared with the measured surface movement and deformation.The results show that the relative error between the predicted surface subsidence value and the measured subsidence value is less than 10%,and the subsidence basin shape is basically consistent with the reality.The predicted result of the system is relatively reliable,and has certain applicability to the mining subsidence prediction.关键词
开采沉陷/概率积分法/ArcGIS Engine/C#语言/预计系统Key words
mining subsidence/probability integral method/ArcGIS Engine/C#language/predictive system分类
矿业与冶金引用本文复制引用
赵兵朝,陈迪,陈攀,王京滨,冯杰..基于C#语言与ArcGIS Engine的开采沉陷预计系统开发[J].煤矿安全,2024,55(8):184-190,7.基金项目
国家自然科学基金资助项目(52074208) （52074208）
陕西省重点研发计划资助项目(2023-LL-QY-02) （2023-LL-QY-02）
