Full
Outline
To solve the problems of strong subjectivity, poor dynamic adaptability, and low evaluation efficiency in the resource development of closed/abandoned mines, a multi-dimensional evaluation index system with a three-tier framework of "target layer, criterion layer, and index layer" was constructed under the guidance of the collaborative concept of "energy-oriented, resource-oriented, and function-oriented" utilization. By integrating algorithms such as Analytic Hierarchy Process (AHP), Light Gradient Boosting Machine (LightGBM), and Isolation Forest, an intelligent model for dynamic weight optimization and consistency check was constructed. The intelligent evaluation system for closed/abandoned mine resources based on adaptive AHP was developed using Java language, with the Vue. js and Spring Boot frameworks, and technologies including MySQL, Redis, Apache POI, and Docker. In the system, functions such as data import, hierarchical analysis calculation, and result visualization are realized, and the shortcomings of traditional evaluation methods, such as static weights and excessive manual intervention, are overcome. A case study was conducted under the actual conditions of the Longdong Coal Mine. The results show that the system can accurately reflect the characteristics of the mine resources and exhibits good practicality. The research results can provide a replicable technical path for the intelligent evaluation of closed/abandoned mine resources.
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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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