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Outline
Frequent geological disasters occur on open-pit mine slopes, and traditional monitoring methods have limitations in real-time performance, coverage density and intelligent early warning. Based on the research achievements in the field of slope safety monitoring and early warning, the existing deficiencies and key problems to be solved urgently at present were summarized. Internet of Things, cloud computing, big data and artificial intelligence technologies were integrated, the space-air-ground-subsurface multi-dimensional and multi-source collaborative sensing network was constructed, the intelligent monitoring and early warning platform for open-pit mine slopes was developed, and intelligent diagnosis and trend prediction of slope stability were carried out. Through a graded early warning mechanism and a visual decision-making system, accurate risk identification and emergency linkage were realized. Practical results show that the intelligent monitoring and early warning platform for open-pit mine slopes significantly improves the proactive perception and advanced early warning capabilities of slope risks, and provides technical support for the intrinsic safety and intelligent mine construction of open-pit mines.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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