本文選題：瓦斯災(zāi)害 + 信息融合��； 參考：《煤礦安全》2017年05期

【摘要】：針對煤礦瓦斯災(zāi)害,利用多源信息融合技術(shù)通過多類傳感器采集瓦斯?jié)舛取⑼L(fēng)、煤巖動力及溫度、煤塵、等瓦斯災(zāi)害信息參數(shù),設(shè)計了基于模糊專家系統(tǒng)的瓦斯突出預(yù)測決策級融合方法,對突出預(yù)測結(jié)果進行可信度分配,提高了多源信息融合系統(tǒng)突出預(yù)測預(yù)報的能力。
[Abstract]:In view of coal mine gas disaster, gas concentration, ventilation, coal and rock power and temperature, coal dust and other gas disaster information parameters are collected by multi-source information fusion technology through multi-sensor. The method of gas outburst prediction decision level fusion based on fuzzy expert system is designed. The reliability distribution of outburst prediction results is carried out and the ability of outburst prediction in multi-source information fusion system is improved.
【作者單位】： 永貴能源開發(fā)有限責(zé)任公司黔金煤礦;
【分類號】：TD712;TP202

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本文編號：2076335