To overcome the challenges of in-situ leaching uranium mining, such as limitations in real-time data analysis, lack of intelligent decision support, insufficient dynamic optimization capabilities, complexities in formulating real-time production strategies, and difficulties in full-lifecycle iterative optimization, a dynamic mining and intelligent management system for closed-loop in-situ leaching of uranium is proposed. The system’s fundamental concepts, key enabling technologies, structural components and operational framework are presented in detail. Based on the reactive transport model, the system focuses on dynamic data monitoring, data assimilation, and dynamic multi-objective production optimization, aiming to enhance the intelligent level and optimization management capabilities of in-situ leaching uranium mining. The construction and application of this system are expected to accelerate the digital and intelligent transformation of in-situ leaching uranium mining and provide a robust theoretical foundation support for the full life cycle development and management of uranium resources.
| 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 |