[Haichuan Intelligence] Changqing Petrochemical utilizes multimodal large model technology to monitor the operational status of key parameters in real time within production processes

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Changqing Petrochemical is embarking on a transformation journey from \"manufacturing\" to \"intelligent manufacturing,\" using intelligence to drive changes in quality, efficiency, and productivity. It has established a solid foundation for digital transformation, and a model of urban refinery that is safe, green, and intelligent has gradually taken shape. \"The temperature of diesel at outlet TT91013 is on the rise; it may exceed the alarm limit in the future. The reason could be excessive cooling by the air coolers on Line 2 – please adjust the fans promptly!\" ”On November 9, Xie Xiao, an operator who monitored the atmospheric and vacuum distillation unit in the central control room of Changqing Petrochemical Company, was adjusting the operations based on the warning messages provided by the large-scale model. In this production operation diagnosis scenario, multi-modal large model technology is utilized, along with 600,000 process operation parameters. Starting from early warnings for the vacuum distillation furnace in atmospheric and vacuum distillation units, fault diagnosis of the fourth reduction line, and fluctuations in the liquid level of the first line, it enables real-time monitoring of the operating status of key parameters, automatically delivers process diagnosis information and recommendations for handling, thereby achieving operation diagnosis and intelligent assistance. The Fourth Plenary Session of the 20th Central Committee of the Party called for focusing economic development on the real economy, and adhering to the paths of intelligence, sustainability, and integration. For Changqing Petrochemical, this path of transformation is reflected in every aspect of its production and operations. Chen Hong, director of the Company Planning and Technology Information Department who has been working on the front lines of production for a long time, has deep insights: \"In the past, process adjustments relied mainly on the experience and judgment of experienced workers; nowadays, ‘model-driven’ and ‘data-driven decision-making’ have become the norm.\" ”Pointing to the parameters that were being optimized in real time on the screen, he said, “We have established a production control framework for collaborative optimization, enabling an integrated closed-loop management process that covers ‘planning—scheduling—monitoring—optimization—analysis’.” ” This transition has brought tangible benefits. By applying Advanced Process Control (APC) and Real-Time Optimization (RTO) systems, the operational stability of key units has been significantly improved, with the standard deviation of key variables reduced by over 30%, enabling the units to operate at their optimal economic efficiency point at all times. At the same time, an energy management system that covers the entire factory raises the level of energy control from a mere measurement stage to an analysis and optimization stage, enabling precise control and closed-loop management of energy consumption. At the Equipment Reliability Center, the dynamic equipment condition monitoring and fault diagnosis platform performs real-time calculation and analysis of the characteristics of tens of thousands of components in over 500 key dynamic devices across the entire plant. The platform boasts an accuracy rate of over 95% in early warnings; it can identify gradual failures with 100% accuracy and automatically generate visual diagnostic reports to help maintenance personnel pinpoint the issues precisely. “This is equivalent to providing ‘dedicated doctors’ for the key equipment across the entire plant, marking a shift from ‘regular health checks’ to ‘real-time health monitoring’. ”Han Dong, director of the Mechanical Engineering Department, explained. This intelligent system extends the equipment maintenance interval by 20% and reduces maintenance costs by about 10%. The same wisdom is reflected in instrument management as well. The intelligent meter management information platform enables closed-loop management of the entire lifecycle for 4,839 intelligent meters. Daily inspection labor hours have been reduced by 60%, the integrity rate of instruments remains above 99.9%, and the efficiency of fault resolution has increased by three times, truly enabling \"strategic control from afar\" for operation and maintenance. Advance the modernization of **safety systems and capabilities to build a safer China at a higher level. The intelligent emergency command platform developed by Changqing Petrochemical integrates all key safety early-warning systems, enabling centralized management of risks across the entire plant through a single dashboard, thus effectively ensuring intrinsic safety. “Now, whenever an abnormal situation occurs, the system can detect it instantly and issue simultaneous warnings, thereby increasing the efficiency of emergency resource allocation and decision-making in a geometric manner. ”Wei Yong, Assistant to the General Manager and Director of the Production Operations Department, said that this marks a complete shift in the company’s emergency management approach, from reactive responses to a modern form of emergency management that relies on data-driven decision-making and technology to support staff. To date, Changqing Petrochemical has invested approximately 400 million yuan, implementing 50 intelligentization projects to lay a solid foundation for its digital transformation. China’s leading 5G enterprise private networks provide coverage for all use cases ； A data governance platform acts like a “central kitchen,” providing fresh “data ingredients” for various intelligent applications and large artificial intelligence models. In 2024, as a pilot project, the company successfully applied the Kunlun large model to atmospheric and vacuum distillation units. Currently, the accuracy rate of intelligent question-answering systems is 85%, marking a new chapter in the exploration of artificial intelligence in the refining and chemical industries. Next, Changqing Petrochemical will focus on the three key construction tasks of \"strengthening through informatization, empowering through digitalization, and advancing through intelligence.\" It will continue to optimize and enhance the functions of various applications, deepen the utilization of data resources, and vigorously implement the \"Artificial Intelligence+\" initiative. By accelerating the integration and innovation of digital technologies with refining operations, the company aims to use digital tools to improve the efficiency of production and management, thereby accelerating the development of an \"integrated artificial intelligence-driven refinery.\" This path of transformation from \"manufacturing\" to \"intelligent manufacturing\" is a clear demonstration of Changqing Petrochemical’s active implementation of the spirit of the 4th Plenary Session of the 20th CPC Central Committee, using intelligence to drive changes in quality, efficiency, and productivity. Today, a model of a safe, green, and intelligent urban refinery has gradually taken shape, providing continuous strong impetus for the company’s high-quality development.