基于煤矿环境监测的多传感器数据融合算法研究

Research on Multi-sensor Data Fusion Algorithm Based on Coal Mine Environment Monitoring

在煤矿环境监测中,利用多传感器数据融合技术对监测到的煤矿瓦斯、温度等数据进行处理,可以有效减少损失,保障矿井安全。从多传感器数据融合理论出发,对该技术的定义、原理以及相应的一些实现算法进行了详细介绍,同时对目前基于多传感器数据融合的煤矿环境监测模型进行了分析和总结,为多传感器数据融合技术在煤矿环境安全评估中的应用提供一定的理论依据与应用经验。

In coal mine environmental monitoring and early warning, the use of multi sensor data fusion technology to monitor the coal mine gas, temperature and other data processing, can effectively reduce the loss, protect the safety of the mine. Based on multi sensor data fusion theory, the definition, principle and corresponding algorithm of multi sensor data fusion are introduced in detail, and the application of multi sensor data fusion technology in coal mine environment security assessment is analyzed and summarized. Provides a theoretical basis and application experience for the application of multi sensor data fusion technology in coal mine environmental safety assessment