多源信息融合在煤矿瓦斯监测中的应用

    Application of Multi-source Information Fusion and Knowledge Discovery in Coal Mine Gas Monitoring

    • 摘要: 针对煤矿瓦斯灾害,利用多源信息融合技术通过多类传感器采集瓦斯浓度、通风、煤岩动力及温度、煤尘、等瓦斯灾害信息参数,设计了基于模糊专家系统的瓦斯突出预测决策级融合方法,对突出预测结果进行可信度分配,提高了多源信息融合系统突出预测预报的能力。

       

      Abstract: Aiming at coal mine gas disaster, multi-source information fusion technology is used to collect gas parameters, such as gas concentration, ventilation, coal and rock power and temperature, coal dust and other gas hazard information, gas fusion method based on fuzzy expert system is designed to predict outburst decision-making level, the credibility distribution of the outburst prediction results, which improves the ability of outburst forecasting by multi-source information fusion system.

       

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