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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 Oilfield| Corerain x ​Chengdu Sinopec Petroleum Supervision Center

Client Profile

As a key entity within the Sinopec system, the Chengdu Sinopec Petroleum Supervision Center plays a critical role in overseeing petroleum engineering construction and production operations. With a professional supervision team and advanced management approaches, the center ensures strict control over all processes, guaranteeing the safe, efficient, and compliant execution of Sinopec projects.


Business Challenges

Significant Safety Risks in Personnel Operations
Significant Safety Risks in Personnel Operations
At construction sites, safety regulations are not consistently followed, with lifting signal personnel often failing to wear designated signal clothing, creating serious potential hazards.
Gaps in Crane Operation Supervision
Gaps in Crane Operation Supervision
There is a lack of effective monitoring mechanisms for crane operations, making it difficult to ensure equipment remains in a safe operating state and exposing construction activities to latent risks.

Application Solution

The Chengdu Sinopec Petroleum Supervision Center implemented an AI-based violation detection system to enhance safety management. By enabling continuous monitoring that reduces human oversight gaps, the system provides real-time alerts for abnormal situations and facilitates immediate response and intervention in high-risk scenarios—such as improperly placed ethylene cylinders or unsafe crane operations—achieving closed-loop management of potential hazards.



Implementation results

Reduced oversight gaps caused by insufficient frequency or intensity of manual inspections, lowering the rate of unreported risks by 50% compared to traditional methods.
Reduced oversight gaps caused by insufficient frequency or intensity of manual inspections, lowering the rate of unreported risks by 50% compared to traditional methods.
In sudden risk events, the AI system automatically triggers alerts through linked emergency protocols, shortening response time from hours to minutes and improving supervision efficiency by over 70%.
In sudden risk events, the AI system automatically triggers alerts through linked emergency protocols, shortening response time from hours to minutes and improving supervision efficiency by over 70%.

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