Traditional mining operations,constrained by technological limitations such as insufficient accuracy in ore body exploration and low automation levels in mining equipment,as well as natural constraints including complex geological structures and harsh underground conditions,have long suffered from persistent systemic issues including low precision in mining processes,declining production efficiency, and accumulating safety risks,thereby severely constrained the high-quality development of the mining industry. With the rapid advancement of information technology,smart mining technology has emerged as a crucial solution to address these issues and promote industrial transformation. Based on systematic analysis and summarization of key technologies in smart mining,this study designed and developed an integrated management platform to achieve intelligent management and efficient operation of smart mines. Particularly through the integration and application of communication technologies,Internet of Things (IoT),big data analytics,and cloud computing,this platform significantly enhances mining safety and production efficiency. Through deep integration of 5G and IoT technologies,smart mining systems have significantly improved data transmission speed and stability while supporting massive real-time data transfer. IoT devices equipped with multiple sensors enable comprehensive monitoring of environmental parameters (temperature/humidity),equipment status,and personnel positioning,establishing a highly interconnected intelligent system. The convergence of big data and cloud computing technologies effectively addresses complex and massive data demands in mining operations,achieving real-time data sharing and distributed processing while optimizing data storage and computational efficiency. Combined with big data analytics,smart mining systems can rapidly analyze multi-dimensional data and perform deep mining to provide accurate trend predictions. Future advancements in technology and management models are expected to enable higher-level intelligentization and automation in smart mines,providing robust support for the high-quality development of the mining industry.
| 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 |