With the development of the coal mining industry, the prevention and control of major disaster risks in coal mines has become one of the focuses of the industry. In order to better prevent and respond to disaster risks, the coal mining industry has begun to introduce artificial intelligence analysis algorithms and detection scenarios to improve the ability to identify and warn of disaster risks.
AI algorithms play an important role in the prevention and control of major disaster risks in coal mines. First of all, the coal mine analyzes the geological structure, gas concentration, mine ventilation and other data of the mine through AI algorithms to realize the first and early warning of potential disaster risks. Secondly, AI algorithms can also monitor and analyze abnormal conditions in coal mine operations, identify potential safety hazards in advance, and provide more reliable safety guarantees for coal mine production.
In addition to AI algorithms, the prevention and control of major disaster risks in coal mines also involves a variety of different detection scenarios. These include intelligent cameras to monitor mine operations, intelligent sensors to monitor gas concentrations in real time, and intelligent inspection robots to conduct mine inspections. The introduction of these detection scenarios not only improves the monitoring accuracy of the safety status of coal mines, but also greatly reduces the burden of manual inspection, and realizes the all-round monitoring of the production environment of coal mines.
The introduction of AI algorithms and detection scenarios in the prevention and control of major disaster risks in coal mines has brought many benefits to the coal mining industry. First of all, it has greatly improved the ability of coal mine disaster risk and early warning, making coal mine production more reliable and safe. Secondly, it reduces the human factors in coal mine operations and reduces safety accidents caused by negligence and fatigue. At the same time, it has also found a better balance for the coal mining industry in the pursuit of efficient production and safe production.
Construction of major disaster risk prevention and control system in coal mines:
Install high-definition cameras and image intelligent analysis equipment at key points on the ground and underground of coal mines and key non-coal mines to monitor the production status and safety status of coal mines and key non-coal mines in real time, and analyze and judge whether there are illegal production operations such as open stop and covert opening and over-capacity in coal mines and key non-coal mines.
1.Intelligent monitoring subsystem for key points on the coal mine surface. Install high-definition cameras and image intelligent analysis equipment at key ground locations and important parts such as the main shafthead, auxiliary wellhead, and coal yard entrance and exit of the coal mine.
2.The first intelligent monitoring subsystem in the underground of key coal mines. Install high-definition cameras and image intelligent analysis equipment in key coal mines, in key locations and important parts such as underground dangerous areas, underground belt conveyor heads, tails, underground parking lots, and Matoumen.
3.Key non-coal mine intelligent monitoring subsystem. High-definition cameras and image intelligent analysis equipment are installed in key non-coal mine stope danger areas, high and steep slopes, dumps, tailings pond area (dry beach), flood discharge facilities, underground dangerous areas, underground belt heads, tails, underground parking lots, Matoumen and other key locations and important parts.
In short, the introduction of AI algorithms and detection scenarios has made a big step forward in the prevention and control of major disaster risks in coal mines, bringing more opportunities and challenges to the coal mining industry. We believe that through continuous technological innovation and practical application, the safety production level of the coal mining industry will be further improved, laying a solid foundation for the sustainable development of the industry.