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基于多源实时数据的瓦斯灾害危险性评价方法

Gas Disaster Evaluation Methods Based on Multi-source Real-time Data
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摘要 通过建立瓦斯事故的灾害评价模型,对各类潜在瓦斯灾害的危险性进行分级评价,预测灾害可能产生的损失程度。利用煤矿监控系统进行数据挖掘,基于多源数据进行瓦斯灾害评估,构建了一种多层次的评价指标体系,引入模糊调整层次分析法进行评价计算,并根据评价结果分类判别可能产生的灾害等级、发生概率、破坏程度、损失估计等情况。 Through the establishment of disaster evaluation model for gas accidents, the risk of various potential gas disasters was classified to several levels, which could predict the degree of disaster losses. The coal mine safety monitoring system was used to carry out data mining, and gas disasters were evaluated by multi - source data, thus a multi - level evaluation index system was built, the fuzzy adjustment AHP was introduced to conduct evaluation and calculation. According to evaluation results, some aspects were classified, for the disaster level, the occurrence probability, damage degree, loss estimation, etc.
出处 《煤矿安全》 CAS 北大核心 2015年第5期234-237,共4页 Safety in Coal Mines
基金 中国煤炭科工集团有限公司重点基金资助项目(2013ZD00)
关键词 瓦斯灾害 瓦斯灾害损失 评价体系 AHP层次分析法 模糊调整 gas disaster gas disaster loss evaluation system AHP (analytic hierarchy process) fuzzy adjustment
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