In view of the complexity, redundancy and uncertainty of measuring data generated by mine environment monitoring systems, a structure of two level data fusion, an adaptive weighted first level fusion and a second level fusion of grey correlation analysis, is presented, thus to achieve the fusion for the monitoring data from heterogeneous data sources and the fusion for the data from heterogeneous sources. Application examples shows that the fusion model has stable performance with strong anti- interference and can be handled easily.