【Ten Years of Rapid Development in Chemical Equipment】2608-2025: Maoming Petrochemical’s Artificial Intelligence Platform Builds a Digital Barrier for Disaster Prevention

Thread Content

Give praise and encouragement to the achievements made in China’s chemical engineering technology and equipment; your participation in discussions is the greatest encouragement. **********************【Ten Years of Progress in Chemical Engineering Equipment】Regularly updated summary posts – feel free to join the discussions: https://bbs.hcbbs.com/thread-3576046-1-1.html ***************** Maoming Petrochemical’s “Intelligent Operation Center 2.0” includes a function for real-time monitoring of typhoon paths; it presents key information such as typhoon paths, intensity, affected areas, and predicted rainfall in a simple and intuitive manner in real time； “The \"Smart Water Management System\" is capable of predicting water quality fluctuations, changes in system load, and potential failure risks that may be caused by heavy rainfall from typhoons.   As the first enterprise within its group to utilize artificial intelligence, a data resource center, and modular development to launch a high-quality \"Intelligent Operation Center 2.0,\" Maoming Petrochemical has been committed to intelligent approaches for flood and typhoon prevention. In the complex production environment along the coast, where typhoons are frequent, the company has achieved a new operational management model that enables \"an overall view on a single screen and multi-dimensional dynamic monitoring\" through digital transformation. This approach overcomes the limitations of delayed information and low decision-making efficiency in traditional management systems, thereby providing essential technological support for safe production and disaster prevention.   The two core artificial intelligence platforms, “Intelligent Operation Center 2.0” and “Smart Water Management System”, integrate advanced technologies such as the Internet of Things, big data analysis, AI large models (Great Wall Large Model), intelligent voice engines, mechanism models, and intelligent optimization algorithms.   \"Smart Operation Center 2.0\" follows a \"data + platform + application\" architecture to achieve comprehensive integration and real-time monitoring of all elements in production, providing visual oversight of the entire process from the offloading of crude oil at sea, storage tank blending, to the operation of refining units. Its innovatively integrated \"Large-screen AI Data Query Assistant\" is built on the Great Wall Large Model and voice engine, enabling users to search for data through full-voice natural interaction. It presents the results in an intelligent format of \"reasoning + charts + text\", thereby significantly improving the efficiency of information retrieval.   The “Smart Water Management System” is centered around three core modules: “Smart Recirculating Water Plants,” “Smart Chemical Water Treatment Plants,” and “Smart Sewage Treatment Plants.” It covers key water treatment facilities, and by deploying 15 mechanism models for water systems along with 11 intelligent algorithms for production operation diagnosis, it enables dynamic monitoring and risk early warning in water treatment processes, process simulation and fault diagnosis, water quality prediction and intelligent control, as well as rapid identification and resolution of abnormal issues, thus providing a solid technical foundation for water management.   In dealing with flood seasons and typhoon disasters, the two core artificial intelligence platforms have created a robust digital disaster prevention barrier. “The “Typhoon Real-time Path Monitoring” feature module of the “Intelligent Operation Center 2.0” has optimized its interface and interaction logic for display on large screens, enabling operators in production units such as refineries and chemical plants to obtain the latest updates and forecasts on typhoons through the operation center’s large screens promptly. This significantly shortens the information transmission chain, providing time for the plant to activate emergency response plans and implement defensive measures in a timely and accurate manner. “The “Smart Water Management System” significantly enhances the intelligent management level and the speed of responding to abnormalities at key water facilities during heavy rainfall, through mechanism models and intelligent algorithms. With the support of these two core artificial intelligence platforms, the company’s response time to disaster incidents has been reduced to minutes, significantly improving its efficiency in typhoon prevention.   Not long ago, when the subtropical storm \"Wipha\" first emerged, the large screen of \"Intelligent Operation Center 2.0\" provided the operators in the refining and chemical production units with a clear view of Wipha’s real-time conditions and predicted trajectory, ensuring that critical information reached the front lines promptly and helping to gain time for emergency responses at the plant. At the same time, the \"Smart Water Management System\" uses mechanism models to predict the impact of fluctuations in water quality and volume during heavy rainfall on the operational risks of subsequent stages, and it provides real-time alerts regarding changes in various process parameters in the biochemical treatment processes, thus offering important data support for ensuring the safe and stable operation of the water system.