Modeling And Scheduling Research Of Virtual Production Line For CPS

In recent years, Cyber Physical System(CPS, Cyber-Physical System) has become an important direction of research and development between academia and the scientific community at domestic and foreign. It through organic integration and the depth of cooperation by computing technology, control and communication technology. Which to achieve real-time sensing of large engineering systems, dynamic control and information services. CPS realizes integration design which including computing, communications and physical system, which make the system more reliable, efficient, real-time collaboration that has important and broad application prospects. In this paper, we based on "Substitution Robot" technology research project which belong to a military institute of weapons production line, that carry out a study of modeling and scheduling research of virtual production line for CPS.What is first discussed in the paper is the operation mode of CPS and its applications in intelligent production line, based on that, we proposed intelligent production lines framework for CPS what aims to achieve "simulation-based planning and control," that promotes the production process in real-time online monitoring and control, and then, the paper gives a experiment system architecture for CPS. After that, analysis of its key technology was followed talk, which is the foundation for the whole research.Since there we study on the virtual environment modeling, a three-dimensional parts parametric method was used for constructing models based on the virtual prototype development.That methods achieved the construction of virtual prototype, we also analyze the characteristic parameters of prototype, simulation results show the modeling method effectiveness.Next, we study on the production scheduling containing robot unit, first, we built a mathematical model of production scheduling, and then we proposed Place Timed Petri Nets(PTPN) to analysis the characteristic of system’s blocked, hunger, and deadlock. Based on this, we adopt genetic algorithm for handling robotic processing, and then redesigned genetic algorithm, a neighborhood search procedure is applied to crossover and mutation genetic algorithms, that makes progeny direction toward the optimal solution convergence, it is optimization production scheduling, through simulation of the algorithm, we analysis and verify the effectiveness of the algorithm.Based on these studies, this paper implements a virtual environment and the physical robot collaborative simulation prototype system, which to determine a prototype system design and development its function modules, and we analyzes and demonstrated the result based on the virtual environment and the physical robot collaborative simulation. Finally, we use the docking platform of Project Company as a case application, which verify the feasibility and effectiveness of the research above.