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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.

Based on the basic principle of rock mechanics, a virtual simulation software for rock and rock mass mechanics parameter estimation is developed. Through this software, students can conduct virtual simulation experiments of rock mechanics, physical and mechanical parameter analysis of rock specimen, rock mass structural plane identification, and rock mass mechanical parameter analysis to master the estimation methods of rock and rock mass mechanics parameters. The virtual simulation experiment is not only a useful supplement to the traditional indoor rock mechanics experiment, but also an attempt to broaden the testing of rock mechanics parameters, which is beneficial for improving the students' learning effect. [ABSTRACT FROM AUTHOR]