基于GIS的沉陷预计分析系统及可视化研究  

Subsidence prediction analysis system andvisualization research based on GIS

作　　者：王艳彬 黄宝柱[2] 郭兵 郑庆学[2] 刘义生[2] 田秀国[2] 李培现[3] Wang Yanbin+;Huang Baozhu;Guo Bing;Zheng Qingxue;Liu Yisheng;Tian Xiuguo;Li Peixian(Beijing LongRuan Technologies Co.,Ltd.,Beijing 100190,China;Kailuan Group Co.,Ltd.,Tangshan 063000,China;College of Geoscience and Surveying Engineering,China University of Mining&Technology(Beijing),Beijing 100083,China)

机构地区：[1]北京龙软科技股份有限公司,北京100190 [2]开滦(集团)有限责任公司,河北唐山063000 [3]中国矿业大学(北京)地球科学与测绘工程学院,北京100083

出　　处：《矿山测量》2021年第1期6-10,25,共6页Mine Surveying

基　　金：国家重点研发计划“公共安全风险防控与应急技术装备”重点专项煤矿重特大事故应急处置与救援技术研究(2016YFC0801800)。

摘　　要：文中以概率积分法和皮尔逊Ⅲ型公式法为基础,基于Longruan GIS平台开发了基于GIS的沉陷预计分析系统。利用空间数据库对倾斜、急倾斜煤层工作面数据统一管理,实现了倾斜、急倾斜煤层开采沉陷预计和计算结果的可视化分析,可快速绘制开采损害等级云图、计算损害区域影响范围等工作。研究成果可用于倾斜、急倾斜煤层开采引起的地表移动变形预计并提供了可视化的分析工具,提高了开采沉陷预测的工作效率。In this paper,based on the probability integration method and PiersonⅢformula method,subsidence prediction analysis system based on GIS was developed base on the LongRuan GIS platform.Visual analysis of the subsidence prediction and the calculation results of the inclined and steeply inclined coal seams were realized using the spatial database to manage the data of inclined and steeply inclined coal seams to draw quickly cloud maps of mining damage grades and calculate the scope of influence of damage areas.Research results could be used to predict the surface movement and deformation caused by the mining of inclined and steeply inclined coal seams and provide the visual analysis tools to improve the working efficiency of the mining subsidence prediction.

关 键 词：GIS 沉陷预计 急倾斜 可视化 

分 类 号：TD325[矿业工程—矿井建设]