| In order to meet the individualized customer demand caused by social and economic development and pursue new competitive advantages,the production mode of manufacturing enterprises has gradually changed to the customized mode of small batch and multi-variety.Under the small batch and customized production mode,the complex and dynamic production environment caused by the uncertainty of resources and processes requires higher control accuracy for the operation and control of large multi-unit systems.The latest industrial 4.0 strategy requires the production system to support autonomous interaction and linkage decision-making among multiple units in the Internet of Things environment,so as to realize intelligent and optimal operation of the system.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.Based on the idea of accelerating the integration of information technology and manufacturing technology to promote the application of intelligent manufacturing process,intelligent logistics management and other technologies in production process proposed by “Made in China 2025” and taking the real-time synchronized operation of three typical units of "production-transportation-storage"(PTS)in industrial parks as the research object,the multi-unit synchronized optimization problem under the framework of digital twin technology is studied.The problem of poor execution and synchronized of PTS decision under dynamic environment is solved by real-time cooperative decision-making and feedback execution of multi-decision-making segment of production,transportation and warehouse.Firstly,this paper clarifies the problems caused by the dynamic interference of execution process in the process of synchronized PTS operation in industrial parks,and analyses the challenges of realizing PTS online synchronized decision-making.The cross-unit synchronized decision-making information architecture is 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” based on the Digital Twin(DT)framework.Meanwhile,the analytical target cascading(ATC)method is adopted to synchronize and control the system systematically in the mode of global optimization and distributed control.Based on this,a digital-twin-based PTS dynamic synchronization decision-making method is proposed qualitatively by dividing the dynamic level and analyzing the synchronized mechanism.Then,according to the characteristics of PTS in industrial parks and the idea of ATC modeling,a mathematical model of PTS synchronized decision-making based on ATC is established quantitatively.Finally,taking the multi-workshop synchronized production process of a large chemical production group as an example,based on its actual production data,the digital twin online decision-making model and ATC quantitative synchronized method are simulated and analyzed by using MATLAB,which verifies the superiority of the proposed PTS synchronized decision-making method. |
PDF Full Text Request