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QIU Shi, ZHANG Pingsong, HU Ze’an, LI Shenglin. Research progress and analysis of multi-data fusion technology for advanced detection of mine roadway[J]. Safety in Coal Mines, 2021, 52(7): 215-223.
Citation: QIU Shi, ZHANG Pingsong, HU Ze’an, LI Shenglin. Research progress and analysis of multi-data fusion technology for advanced detection of mine roadway[J]. Safety in Coal Mines, 2021, 52(7): 215-223.
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Research progress and analysis of multi-data fusion technology for advanced detection of mine roadway

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  • Published Date: July 19, 2021
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    • 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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