Current uranium mining and metallurgy equipment faces significant shortcomings in perception, control, communication, and machine intelligence. This paper systematically elaborates on the dedicated equipment system for the entire process from mining, hauling, beneficiation, to hydrometallurgy of both hard-rock and sandstone-type uranium deposits. Based on this analysis, differentiated upgrade paths were proposed. Representative achievements, such as the group-well water-level Fabry-Perot cavity sensor system, the underground intelligent ore transfer system for mined rock, and the ultra-high-lift leaching solution pumping system, demonstrate the implementation of a closed-loop framework integrating sensing, decision-making, and execution. Results indicate that intelligent technologies significantly enhance the efficiency and safety of uranium mining and metallurgy, providing strong technical support for the efficient development of uranium resources in China.
| 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 |