LI Mei，MAO Shanjun，ZHAO Mingjun. Research progress and prospects of coal mine intelligent geological guarantee systems[J]. Coal Science and Technology，2023，51（2）：334−348
. DOI: 10.13199/j.cnki.cst.2022-2125| Citation: |
LI Mei，MAO Shanjun，ZHAO Mingjun. Research progress and prospects of coal mine intelligent geological guarantee systems[J]. Coal Science and Technology，2023，51（2）：334−348 . DOI: 10.13199/j.cnki.cst.2022-2125
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The intelligent geological guarantee system is an important part of coal mines IT construction. The article first reviews the history of geological information technology at home and abroad from the respect of geological exploration equipment, geological modelling software, geological data manipulation, intelligent working face equipment, summarizes the technology progress of geological guarantee system including hidden geohazards exploration, geological and surveying data acquisition and disaster monitoring, multi-source geological data fusion and big data analytics, GIS One Map cloud service, transparent geological 3D modeling and visualization, and geological guarantee intelligent analytics, explains the current problems during the coal mine intelligent geological guarantee systems IT construction, those are: dynamic geological survey data acquisition technologies such as coal and rock stratum recognition, intelligent seismic interpretation and 3D reconstruction of point clouds have not yet made breakthroughs. The data format of various geological software is not compatible and unified, and the ability of multi-source data sharing and fusion processing needs to be improved. Further research is needed to carry out geological forecasting and prevention and control of geological hidden dangers based on big data and artificial intelligence technology. Finally, the trends of the coal mine geological guarantee system are discussed, which are higher precision geophysical equipment and AI interpretation; multi-scale 3D dynamic geological model; analysis and prediction of potential geohazards; geological model-based dynamic planning for intelligent production. Our research provides a useful reference for the IT construction of mine intelligent geological guarantee system and mining application.
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