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Corerain Technologies is a leading Artificial Intelligence (AI) chip and solutions company, specializing in pioneering reconfigurable streaming AI chip technologies and providing integrated hardware and software turn-key solutions for smart cities, smart energy, EHS management and smart manufacturing.

Smart Coal Mine | Corerain x CHN Energy Inner Mongolia Open-Pit Coal Mine

Client Profile

The Inner Mongolia Open-Pit Coal Mine, operated by CHN Energy (China Energy Investment Corporation), is one of China's largest single-mine open-pit coal mines by production capacity. It boasts recoverable raw coal reserves of 1.73 billion tons. The coal is long-flame coal characterized by medium ash, low sulfur, extra-low phosphorus, high volatile matter, and medium-to-high calorific value, making it high-quality power coal.


Business Challenges

Challenging Monitoring Due to Complex Geological Conditions
Challenging Monitoring Due to Complex Geological Conditions
The mining area is vast with significant excavation depths. The rock and soil mass is susceptible to rainfall and freeze-thaw cycles, leading to decreased structural stability and heightened landslide risks. Reliance on manual inspections makes real-time dynamic monitoring of these risks difficult.
Difficulties in Managing Safety Operations of Large Equipment
Difficulties in Managing Safety Operations of Large Equipment
The open-pit mine operates a wide variety of large machinery, including excavation, loading, and transportation equipment. Providing real-time risk warnings for their operation poses a significant challenge.
Inadequate timeliness of personnel safety compliance management
Inadequate timeliness of personnel safety compliance management
PPE checks are prone to omission, and personnel may intrude into high-risk zones such as blasting warning areas or slope hazard zones.

Application Solution

Corerain deployed an integrated AI video analytics system—combining computing power, algorithms, and a platform—for this open-pit coal mine.The system conducts real-time monitoring of environmental risks, personnel behavior, and equipment operational status. For scenarios such as slope collapse, transport vehicle operation status, presence of personnel in truck travel paths, workers' safety gear compliance, and unauthorized entry into operational areas, the system triggers immediate pop-up alerts and activates on-site audio columns for voice warnings upon detecting anomalies. This achieves second-level warnings for risks within the mining area.


Implementation results

All-day monitoring through AI intelligent recognition improved the detection rate of safety violations from 70% to 98%.
All-day monitoring through AI intelligent recognition improved the detection rate of safety violations from 70% to 98%.
The system enhanced emergency response speed, reducing emergency decision-making time by 50% and tripling the efficiency of equipment and personnel dispatch.
The system enhanced emergency response speed, reducing emergency decision-making time by 50% and tripling the efficiency of equipment and personnel dispatch.

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