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作 者:崔俊飞[1,2,3]
机构地区:[1]中煤科工集团重庆研究院,重庆400037 [2]瓦斯灾害监控与应急技术国家重点实验室,重庆400037 [3]重庆大学,重庆400044
出 处:《中国安全生产科学技术》2013年第8期5-9,共5页Journal of Safety Science and Technology
基 金:国家"十二五"科技支撑计划项目(2012BAK04B01);国家科技重大专项(2011ZX05040-005-12)
摘 要:为了提高矿井瓦斯赋存规律分析的准确性和智能化程度,提出了多因素共同作用下瓦斯原始数据筛选和瓦斯赋存规律分析的一种智能化技术。介绍了如何利用地理信息(GIS)技术建立瓦斯地质空间数据模型,结合计算机编程实现了对大量复杂的原始数据的智能分析、处理和筛选。并实现了瓦斯赋存规律多种主控因素情况下多元回归的自动智能化分析,进而使得瓦斯赋存规律模型可以在取得新的原始数据后进行动态、智能的更新。为煤矿工作人员快速、准确的掌握地矿井瓦斯赋存规律提供了先进的手段和工具。In order to improve the veracity and intelligentize level of analysis mine gas occurrence law, a kind of in- telligentize technology of gas raw data filter and gas occurrence law analysis the multi-factor interaction was put for- ward. It was described on how to build gas geological spatial data models with Geographic Information System(GIS) technology. Combining with computer programming, a large number of complex raw data were analyzed, processed and filtered intelligently. Under the circumstance of multi kinds of main controlling factors for gas occurrence, the automatic intelligent analysis of multiple regression was realized, and then as getting the new raw data, the gas oc- currence law models were updated dynamically and intelligently. It provides an advanced method and tool which helps coal mine staff master mine gas occurrence law quickly and accurately.
分 类 号:X913.3[环境科学与工程—安全科学]
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