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Smart CityOnline Brand Column】On April 23-24, the "2026 Petroleum and Petrochemical Safety and Emergency Management Innovation and Development Conference" was held in Beijing, bringing together experts from central enterprise safety and environmental protection departments such as China Petroleum, Sinopec, National Pipeline Network Group, and National Energy Investment Group. Megvii unveiled its full stack solution for petroleum and petrochemical safety supervision, providing a feasible intelligent upgrade path for the entire industry chain including oil fields, refining, and sales with the ability of "AI algorithm+software and hardware integration+closed-loop disposal".
The petroleum and petrochemical safety supervision solution launched by Megvii at the exhibition achieves a leap from "passive recording" to "active warning" and from "single point recognition" to "closed-loop disposal" through an intelligent agent product system.
01Oilfield+Refining+Sales, covering all scenarios
The exhibition booth focuses on three major application scenarios: "oilfield sector", "refining sector", and "sales sector", showcasing Megvii's landing capabilities.
Oilfield sector: Focus on the intelligent improvement of production sites such as well sites, pipelines, stations and warehouses, and major hazard sources. Megvii builds a centralized deployment solution for central nodes through an intelligent agent product system based on end-to-end cloud collaboration architecture - uniformly pulling streams to the platform for streaming media services, video storage, intelligent analysis, and result storage, which facilitates unified management, resource disaster recovery, and flexible algorithm expansion.
Deployment of oilfield computing power cluster
Refining sector: For scenarios with complex business processes, diverse dynamic and static equipment, and strict requirements for major maintenance and daily inspections, Megvii supports one click configuration of maintenance operation monitoring, enabling intelligent analysis of safety measures implementation, construction area intrusion, abnormal gas emissions from open flames, personnel and vehicle management, etc. The system can work with
PLCBy linking with the industrial control platform, real-time abnormal warnings will be pushed and a virtuous closed-loop management of inspection records will be formed.
Equipment status analysis
Sales section: The flow of people and vehicles in the sales area is complex. The plan can focus on identifying dangerous situations such as not wearing safety helmets, smoking, making phone calls, and violating vehicle regulations, and support station level integrated applications such as employee attendance; In the enclosed oil unloading area, it is important to monitor the compliance of oil unloading, including static electricity discharge before unloading
fire extinguisherThe sequence of oil placement and unloading operations, etc.
02. Algorithm production efficiency increased by 23.2 times
The petroleum and petrochemical industry has fragmented scenarios and significant demand differences, with traditional algorithm customization cycles lasting up to one month. At this conference, Megvii also highlighted the AIS algorithm mass production platform, which provides full chain services from data collection and cleaning, intelligent labeling, data management, automatic learning to model deployment. Taking the "Safety Engineering Classification Model" (such as detecting whether workers are wearing safety uniforms) as an example, the overall production efficiency of the AIS platform can be improved by 23.2 times.
Partial mass-produced algorithms
03Intelligent Safety Production Agent: Creating a Closed Loop Force
In addition, Megvii deeply integrates the perception network and industrial control system of petroleum and petrochemical production sites to create a safety production assistant with the ability of "perception understanding decision-making execution" closed-loop, promoting the transformation of safety rules from "paper constraints" to "digital system defense lines".
AI real-time perception promotes the automatic execution of SOP;
Multi dimensional heterogeneous data inference, realizing the fusion analysis of "auscultation+visual inspection+temperature sensing", accurately locating the root cause of faults;
Automatically generate equipment maintenance work orders and distribute them. In case of leakage or fire risks, automatically close valves or activate fire sprinklers, and push emergency response plans in real time;
Real time edge analysis, cloud edge collaborative work, and second level autonomous decision-making ability even in weak network environments.
In the critical year of tackling the root cause of safety production, Megvii will continue to empower petroleum and petrochemical enterprises with AI capabilities, making every emergency response more timely and truly achieving intelligent protection from the source to the operation terminal.