数据挖掘算法在瓦斯安全预测中的应用

Application of Data Mining Algorithm in Gas Safety Prediction

基于数据挖掘和数据库技术,通过关联规则算法对系统瓦斯数据进行研究,建立了瓦斯浓度数据挖掘模型,对瓦斯浓度数据挖掘结果进行分析,进而对瓦斯安全进行预测。计算结果表明:瓦斯浓度是影响煤矿安全隐患的最主要因素。最小支持度阀值为0.50时,挖掘效率最佳。

Data mining and database technology based on the association rules algorithm research on system of gas data, establish the data mining model of gas concentration, gas concentration data mining results were analyzed to predict the gas safety. The calculation results show that gas concentration is the most important factor affecting coal mine safety hazard. When the minimum support threshold is 0.50, the mining efficiency is the best.