Research on modeling and adaptation algorithms for reconfigurable production line systems in discrete workshops

With the development of intelligent manufacturing, reconfigurable manufacturing has become one of the current application characteristics, but the actual landing of reconfigurable system in manufacturing workshop still has big problems. In order to solve this problem, this thesis addresses the application of reconfigurable systems and carries out the research and development of intelligent reconfigurable systems. It focuses on the reconfigurable software part, including static model creation, dynamic production process model creation, model adaptation algorithm design, simulation module development and other work. The reconfiguration scheme can be directly simulated, and the reconfigurable scheme and its evaluation indexes are finally obtained and stored in XLS file format, which is convenient for direct access to other process software systems. After comparing the simulation results with the practical results, the practical data proves the reasonableness of the reconfigurable model, the correctness of the reconfigurable algorithm and the effectiveness of the system, which provides theoretical basis for the practical application of the reconfigurable production line at a later stage.