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In order to effectively predict disasters and evaluate the effectiveness of intervention measures, a multi-disaster coupling evolution intelligent deduction method was proposed. The disaster process, multi-disaster coupling, as well as the advantages and difficulties of evolutionary intelligent deduction, were discussed. The disaster evolution process was described, and an intelligent deduction method was established. Taking the mining process of an open-pit mine as an example, the proposed method was applied for analysis, and its effectiveness was verified. The results show that the multi-disaster coupling process is complex and changeable, with characteristics such as uncertainty, network structure effect and spatio-temporal distribution difference. The system fault evolution theory can provide support for the multi-disaster coupling evolution intelligent deduction from the perspectives of conceptual description, topological structure and mathematical analysis. The evolutionary intelligent deduction method is established, and its steps and mathematical model are provided. This method can qualitatively and quantitatively deduce the multi-disaster coupling evolution process, discover hidden disaster processes and generate emergent knowledge.
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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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