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作 者:崔俊飞[1,2,3] 唐韩英[1,2]
机构地区:[1]瓦斯灾害监控与应急技术国家重点实验室,重庆400037 [2]中煤科工集团重庆研究院有限公司,重庆400037 [3]重庆大学资源与环境科学学院,重庆400044
出 处:《工矿自动化》2015年第1期25-29,共5页Journal Of Mine Automation
基 金:"十二五"国家科技支撑计划资助项目(2012BAK04B01);中国煤炭科工集团有限公司科技创新基金资助项目(2013ZD002)
摘 要:针对煤矿企业瓦斯地质资料缺乏有效管理、瓦斯地质图更新困难及利用率不高的现状,从瓦斯地质预警原理、数据库、平台结构、功能模块、关键技术、预警保障机制等方面介绍了一种矿井瓦斯地质智能预警平台建设方案。该平台采用GIS技术建立瓦斯地质空间数据库,实现了瓦斯地质相关数据的集中、有效管理及瓦斯地质图的自动更新;采用WCF技术实现了跨图形平台的瓦斯地质相关图件的数据共享;以瓦斯地质学理论为指导,形成了一套完整的瓦斯地质预警指标体系,综合分析工作面前方的瓦斯赋存、地质构造、煤层赋存等情况,实现了瓦斯地质的实时超前预警。应用结果表明,该平台各项预警结果与现场实测情况完全一致,效果良好。In view of current situations that there was no effective management of gas geological data in coal mine enterprises and gas geological maps were updated hardly with low utilization, an establishment scheme of intelligent pre-warning platform of mine gas geology were proposed from gas geology pre- alarming principle, database establishment, platform structure, function models, key technologies, pre- alarming guarantee mechanism, etc. In the platform, GIS technology is used to build spatial database of gas geology, so as to manage relative gas geological data intensively and effectively and update gas geological maps automatically. WCF technology is used for data sharing of relative gas geological maps in different graph platforms. Based on gas geology theory, a set of integrated pre-warning index system of gas geology is established, which is for real-timely pre-warning gas geology through comprehensively analyzing gas occurrence, geological structure and coal-seam occurrence in front of working face. Application shows that each pre-alarming result of the platform accords with measuring result in filed with good effect.
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