关键词: 数字孪生, 工业园区, 协同决策, 联动控制, 动态性, 化工生产企业

Abstract: Under the small batch and customized production mode,the complex and dynamic production environment caused by uncertainty of resources and processes requires higher control accuracy for operation and control of large multi-unit systems.It is a key challenge for process control of large multi-unit production logistics system that how to accurately model and real-time reflect the execution status of production unit and implement the adaptive,iterative and accurate management and control of system to support the efficient collaborative operation of each segment through multi-unit online synchronized decision-making.By taking the real-time synchronized operation of typical industrial park system composed of three typical units of production,transportation and storage as the research object,and under the Digital Twin (DT) framework,the cross-unit synchronized decision-making information architecture was proposed to implement the online synchronized control of large system through the dynamic and precise mapping and real-time feedback control of “physical environment-virtual model”.Meanwhile,the Analytical Target Cascading (ATC) method was adopted to synchronize and control the system systematically in the mode of global optimization and distributed control.By taking the multi-unit synchronized production process of a large chemical production enterprise as an example,the synchronized decision-making model and ATC quantitative synchronized method were simulated,compared and analyzed based on the actual production data.The results showed that the proposed method could effectively realize the multi-unit synchronized operation and reduce the total production cost and the in-stock time of orders.

Key words: digital twin, industrial park, collaborative decision-making, synchronized control, dynamics, chemical production enterpise