Current status and prospects of research on landslide disasters in mine slopes based on multi-source information fusion

LI Hui; HAN Xiaofei; ZHU Wancheng; SONG Qingwei; ZHOU Wenlong

doi:10.13272/j.issn.1671-251x.2024040064

Volume 50 Issue 6

Jun. 2024

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Article Navigation > Journal of Mine Automation > 2024 > 50(6): 6-15

LI Hui, HAN Xiaofei, ZHU Wancheng, et al. Current status and prospects of research on landslide disasters in mine slopes based on multi-source information fusion[J]. Journal of Mine Automation，2024，50（6）：6-15. doi: 10.13272/j.issn.1671-251x.2024040064

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Current status and prospects of research on landslide disasters in mine slopes based on multi-source information fusion

doi: 10.13272/j.issn.1671-251x.2024040064

Center for Rock Instability and Seismicity Research, Northeastern University, Shenyang 110819, China

Received Date: 2024-04-19
Rev Recd Date: 2024-06-25

Available Online: 2024-07-04

Abstract

Abstract

In order to overcome the problem that a single information source cannot accurately characterize the evolution features of mining landslide disasters, based on multi-source information fusion technology, this paper summarizes the research progress of mine slope landslide disasters from three aspects: multi-source information acquisition of mine slopes, multi-source information fusion of mine slopes, and mine slope displacement prediction and landslide risk assessment. The study summarizes typical slope monitoring methods of "sky", "air", and "ground" , as well as integrated collaborative monitoring method of "sky-air-ground". The study sorts out the slope multi-source information fusion process that includes data level, feature level, and decision level fusion. The paper organizes the fusion forms of displacement and stress, displacement and hydrological and meteorological monitoring information, as well as other different types. This paper elaborates on the current research status of slope displacement prediction and landslide risk assessment based on multi-source information fusion. The accuracy of disaster analysis in current research on mine slope landslide disasters heavily depends on the quality of monitoring data and insufficient utilization of knowledge of rock mechanics mechanisms. Based on the above problems, the development trends of research on landslide disasters in mine slopes are pointed out. The multi-source data collection and access standards are unified. The method for analyzing landslide disasters in mine slopes is developed by integrating monitoring data with rock mechanics mechanisms. The spatiotemporal association mining algorithm for multi-source information from the "sky-air-ground" is optimized. The construction of a mine slope landslide disaster warning platform based on multi-source information fusion is strengthened.
- mine slope,
- slope displacement prediction,
- landslide risk assessment,
- multi source information fusion,
- collaborative monitoring

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References

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Current status and prospects of research on landslide disasters in mine slopes based on multi-source information fusion

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Current status and prospects of research on landslide disasters in mine slopes based on multi-source information fusion

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