煤矿巷道超前探测多数据融合技术研究进展与分析

    Research progress and analysis of multi-data fusion technology for advanced detection of mine roadway

    • 摘要: 煤矿巷道超前探测是巷道安全开采的重要前提,多解性、探测异常范围大等是困扰巷道超前探测的难题,而推进巷道超前探测多数据融合技术的研究与应用可以有效地解决此类问题。通过对数据融合原理及数据融合类型的阐述,讨论了数据融合的研究进展。重点结合煤矿巷道超前探测技术,进一步分析了巷道多数据融合的研究进展与现状,并指出其存在的问题和发展方向,为未来巷道不同类型的超前探测数据融合应用提供思路。

       

      Abstract: Advanced detection of roadway in coal mine is an important prerequisite for safe mining of roadway. Multiple solutions and large range of abnormal detection are the problems that puzzle advanced detection of roadway, and the research and application of multi-data fusion technology for advanced detection of roadway can effectively solve such problems. The principle and types of data fusion are introduced, and the research progress of data fusion is discussed. Focusing on the advanced detection technology of coal mine roadway, this paper further analyzes the research progress and current situation of roadway multi-data fusion, and points out its existing problems and development direction, which provides ideas for different types of advanced detection data fusion application of roadway in the future.

       

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