Today, the 2024 (4th) Advanced Control, Optimized Control and Intelligent Control Technology Exchange Seminar was held in Xi 'an, and Schneider Electric, a global expert in digital transformation in the field of energy management and automation, was invited to attend. At the meeting, with the theme of "Joint Application of production process Control and AI under high-precision process Dynamic simulation and simulation", Schneider Electric and on-site experts and enterprise partners from petroche
Today, the 2024 (4th) Advanced Control, Optimized Control and Intelligent Control Technology Exchange Seminar was held in Xi 'an, and Schneider Electric, a global expert in digital transformation in the field of energy management and automation, was invited to attend. At the meeting, with the theme of "Joint Application of production process Control and AI under high-precision process Dynamic simulation and simulation", Schneider Electric and on-site experts and enterprise partners from petrochemical, electric power, metallurgy and other industries discussed how to use digital technology to release the potential of process operation and bring APC advanced process control solutions. To accelerate enterprise intelligence and digital transformation.
Recently, nine departments including the Ministry of Industry and Information Technology issued guidelines for the implementation of digital transformation in petrochemical, chemical, steel and other industries, proposing to promote the dynamic intelligent optimization of process and manufacturing processes through the integration of big data, industrial mechanisms, and artificial intelligence, and realize intelligent production. It can be seen that relying on the integration of advanced digital technology and process automation system, optimizing the process process and creating an intelligent process control system have become a key part of the process industrial enterprises to promote high-quality digital transformation.
AI+ software combined to build high-precision process simulation
At the meeting, in the keynote speech of "Joint Application of Production process Control and AI under High-precision Process Dynamic Simulation and Simulation", Gong Dain, digital solution manager of Schneider Electric, pointed out: "At present, the process industry represented by petrochemical, metallurgy, electric power and other industries has the characteristics of wide source of raw materials, complex process mechanism, strong production continuity, etc., and the digital transformation around the production process is difficult." Enterprises need to achieve lean operation through the combination of high-precision online process simulation and AI technology to create real-time closed-loop online optimization and unattended multi-system collaboration."
Based on the real demands of the industry, Schneider Electric provides industrial software solutions including AVEVA APS process simulation platform, AVEVA PI System operation big data management platform, asset information management platform, and APC advanced process control, helping enterprises to create high-precision process simulation from design to production. Among them, APC advanced process control based on a deep understanding of the process, combined with AI, cloud computing and storage, predictive analysis and other cutting-edge technology integration, through the collection, summary, retrospective historical data and review of historical behavior, combined with the current working conditions and status of dialysis and evaluation, can deduce, predict, optimize, guide and control future trends and events. At the same time of stabilizing the production process of the device, it can also find the optimal control point in the controllable domain, reduce the fluctuation of key process variables, and issue the DCS process control system to achieve "card edge operation", which brings the four values of increasing economic benefits, optimizing control quality, improving production safety and improving environmental protection to the user.
For production enterprises: APC advanced process control software can improve the speed of reaching the optimal production state by 40%, save the time of rapid stabilization of disturbed production conditions by 45%, and significantly reduce the frequency of production conditions entering the alarm interval, and help reduce the unnecessary carbon and energy emissions in actual production. Taking a 20 million barrel crude oil refinery plant as an example, APC advanced process control software can learn and train a large number of scenarios for AI models based on the high-precision digital representation of the plant's production process flow, helping users optimize the rapid stabilization of the plant's unsteady, dynamic, and transition states, and can avoid annual profit losses of up to $17 million.
For design users: APC advanced process control software enables 30% design savings while providing users with 200% design diversity based on more proven operating scenarios. In addition, on the basis of improving the design safety, the process control and simulation software platform and workflow, combined with AI technology, can also automatically consider the carbon footprint, reducing unnecessary carbon emissions in the design process.
Strong combination to create intelligent process benchmarking
At present, many leading enterprises in the industry are relying on Schneider Electric process control solutions to accelerate the upgrade to digital intelligence. At the 2024 Schneider Electric Innovation Summit - Steel Industry sub-venue with the theme of "Double Progress, New wisdom", Schneider Electric demonstrated a series of application cases and value of APC advanced process control in the steel industry process flow, covering a number of scenarios such as grate - rotary kiln, mill system, oxygen plant and air separation unit, and self-owned power plant.
Among them, in the pelletizing APC project of a steel enterprise, Schneider Electric APC advanced process control helped users reduce the fluctuation deviation of key control variables by more than 20% through multi-variable coordinated predictive control, and optimized the control of the four major fans, temperature, coal feeding and other operational means to stabilize the production process and pellet quality. With the "card edge operation", it can also save solid fuel consumption and power consumption, improve the pelletizing capacity, and help users tap the economic benefits of the device. With the application rate of APC control system not less than 98%, the enterprise has achieved optimization and improvement of automatic control performance, greatly reducing the frequency of manual intervention, and improving the uniformity of device control.
