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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 Non-Coal Mining | Corerain x Yangjiawan Manganese Mine, Tongren, Guizhou

Client Profile

The Yangjiawan Manganese Mine in Tongren, Guizhou, is a key operation under the Songtao Sanhe Manganese Industry Group Co., Ltd. It is a typical "Datangpo-type" manganese deposit, primarily composed of ore minerals such as rhodochrosite and calcium rhodochrosite. The discovery and development of the Yangjiawan Manganese Mine have provided significant support for Tongren City in building its manganese resource industry cluster.


Business Challenges

High Difficulty in Safety Control
High Difficulty in Safety Control
The manganese ore body is situated within complex geological structures. Years of mining have created extensive mined-out areas, significantly increasing the challenges of safety management.
Outdated Safety Technology
Outdated Safety Technology
The safety equipment in some mining areas is outdated, making it difficult to monitor the operational status of underground equipment in real time and with accuracy. This leads to delays in identifying potential hazards, raising the probability of accidents.

Application Solution

Corerain's AI video analytics solution was integrated with cameras in key areas throughout the mine, enabling 24/7 uninterrupted real-time intelligent analysis. The system accurately monitors personnel attire and behavioral compliance. Upon detecting any anomalies, it immediately triggers an alert mechanism, allowing management personnel to address potential safety hazards promptly. This effectively reduces the probability of safety incidents and lays a solid foundation for the mine's efficient and stable production.



Implementation results

Smart inspections replaced 70% of manual patrol frequency, resulting in annual labor cost savings exceeding CNY 150,000 per mine and a simultaneous 63% reduction in equipment downtime due to failures.
Smart inspections replaced 70% of manual patrol frequency, resulting in annual labor cost savings exceeding CNY 150,000 per mine and a simultaneous 63% reduction in equipment downtime due to failures.
The establishment of a comprehensive time-domain risk warning model reduced abnormal equipment maintenance costs by 58% and decreased unplanned production stoppage losses due to safety incidents by 65%, achieving a dual-value closed loop of safety production and cost efficiency.
The establishment of a comprehensive time-domain risk warning model reduced abnormal equipment maintenance costs by 58% and decreased unplanned production stoppage losses due to safety incidents by 65%, achieving a dual-value closed loop of safety production and cost efficiency.

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