【作者】 孟庆彪； 姚善化；

【Author】 MENG Qingbiao;YAO Shanhua;Underground Geophysical Exploration Team of Geological Exploration Engineering Department of Huainan Mining Group;Anhui University of Science and Technology;

【机构】 淮南矿业集团地质勘探工程处井下物探队； 安徽理工大学；

【摘要】 本文针对矿井地质信息采集中存在的问题,创造性的提出应用视觉、图像识别技术代替人工地质信息采集,从而推动地质信息采集向智能化采集时代迈进;基于图像识别获取的大数据,可以近似的实时用于煤矿安全监测与评价、巷道监测与预报;丰富的数据量可以利用虚拟现实技术或全息技术,形象直观的再现地质目标体。更多还原

【Abstract】 This paper aims at the problems of the acquisition of mine geological information,creatively proposes the application of visual and image recognition technology to replace artificial geological information collection,promotes the collection of geological information to the era of intelligent collection,and big data based on image recognition can be approximated.Real-time use for coal mine safety monitoring and evaluation,roadway monitoring and forecasting;rich data volume can use virtual reality technology or holographic technology to visually reproduce geological objects.更多还原