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The Gas Station Enterprise in Shandong

Corerain provides an overall AI video analysis solution to detect the correct placement of fire extinguishers, electrostatic discharge operation specification and other operation status in the process of oil unloading in real time and realize 24-hour automatic detection of irregularities such as calling, smoking, leaving the post, and the risk of flame and smoke. The solution constructs a rapid response mechanism to dangers, achieves instant alarm for abnormal situations and automatically retains the relevant videos to meet the intelligent construction requirements of the regulatory authorities.

Leading Petrochemical Group Provincial Subsidiary

Corerain built an AI video analytics platform for over 100 gas stations under this leading petroleum group's provincial subsidiary. Beyond routine safety supervision in the refueling area, Corerain configured and orchestrated more than 10 AI algorithms in accordance with the operational management requirements of the gas station's "8-Step Unloading Process." The system sequentially analyzes video data from fixed cameras within the station, monitoring operator violations and abnormal conditions of unloading equipment in real time. Any anomaly immediately triggers warnings via linked on-site loudspeakers.

The State-owned Gas Station

Corerain provides an intelligent supervisory platform for the state-owned gas station, which enables real-time detection and early warning of risks such as smoking, phone calls, personnel intrusion, fire passenges occupancy, fire equipment misplacement, and uniform wearing in the refueling and unloading areas by analysis of camera videos in the station, strengthening the efficiency of gas station safety management and promoting modernization of emergency management capabilities.

Leading Petroleum Group Shanxi Branch

Corerain's AI video analytics solution provides real-time monitoring and intelligent analysis of key areas, such as the refueling zone and unloading zone, for the gas stations under this leading petroleum group's Shanxi branch. The system accurately identifies non-standard behaviors during unloading operations, including insufficient static electricity discharge time, incorrect placement of fire extinguishers, and personnel absence from posts, ensuring strict adherence to the "Eight-Step" operational protocol. Simultaneously, it provides real-time warnings for violations (e.g., smoking, phone use) and abnormal conditions (e.g., open flames, smoke) in the refueling zone, effectively reducing safety risks.

The Private Gas Station

Corerain provides a state-owned gas station with an intelligent video analysis solution to perfect the video surveillance on key areas such as gas dispensers and oil storage tanks, and to identify, alarm and record personnel violations and abnormal environmental conditions at the gas station. The solution makes full use of existing equipment and deploys an integrated AI software and hardware solution to enhance intelligent operation management while avoiding waste of resources.

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About Corerain

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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