基于SVM的矿井瓦斯预警系统因素研究

Research on the Factors of the Early Warning System of Mine Gas Based on SVM

矿井瓦斯含量影响矿井安全生产,为建立简明实用的瓦斯涌出预测预警系统,木瓜矿采取支持向量机法对瓦斯涌出进行预测,建立矿井瓦斯涌出预测SVM模型,实现井下准确高效预测瓦斯,为瓦斯预警系统建立提供基础依据,并实现矿井瓦斯管理智能化。

The content of mine gas affects safety production. In order to establish a concise and practical early warning system for gas emission, support vector machine （SVM） has been used to predict gas emission in Mugua Mine. It can predict gas emission accurately and efficiently. This provides the basis for the establishment of gas warning system and realizes the intelligent management of mine gas.