基于模糊聚类的矿井煤与瓦斯突出灾害预报
Based on fuzzy clustering of mine coal and gas outburst hazard forecasting
对于煤与瓦斯突出危险性的预报,就是根据影响瓦斯突出各因素的指标实测资料来判断煤层具有突出危险性的强弱。所以本文利用模糊聚类方法,首先把矿区内各种突出危险性煤层的各指标的实测数据作为样本,建立模糊相似矩阵,求出传递闭包 ,再利用 做聚类,画出聚类图。最后通过计算比较待测数据与样本的相似系数,来判断待测数据的瓦斯突出灾害情况,从而提高煤矿开采的安全性,减低瓦斯爆炸的发生率。
For coal and gas outburst risk prediction was based on various factors affecting the target gas outburst observed data to determine the dangers of coal seams with outstanding strength. Therefore, this paper fuzzy clustering method, first of all to highlight the dangers of all kinds of mining coal seams of each index measured data as samples to establish fuzzy similar matrix, find the transitive closure, re-use to do clustering, plot dendrogram. Finally under test by calculating the comparative data and samples similarity coefficient to determine the data under test gas outburst disaster situations, thereby enhancing the safety of coal mining to reduce the incidence of gas explosion.
刘鑫、李茜、任珊
矿山安全、矿山劳动保护矿业工程理论与方法论
模糊聚类瓦斯突出相似系数传递闭包样本
fuzzy clusteringgas outburstsimilarity coefficienttransitive closurethe sample
刘鑫,李茜,任珊.基于模糊聚类的矿井煤与瓦斯突出灾害预报[EB/OL].(2009-12-02)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200912-46.点此复制
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