Research On Digital Twin Modeling And Reconfigurable Technology For Manufacturing Units In Assembly Workshop

The aerospace electronic precision component manufacturing workshop is a typical discrete manufacturing workshop characterized by high precision,multiple varieties,and small batch production.Due to the high production precision,enterprises often use grouping technology to classify similar workpieces and establish dedicated manufacturing units for unit production.Virtual manufacturing units,with their reconfigurable nature and logical grouping characteristics,are significantly superior to the currently commonly used physical manufacturing units in dealing with market demand variability,fast product iteration,fragmented orders,and other issues.However,the construction of virtual manufacturing units requires a high level of resource control capability.Currently,such enterprises have weak real-time control over production resources,which hinders the development of virtual manufacturing units.Firstly,this paper focuses on two specific research aspects: the digitalization of aerospace precision component manufacturing workshops and the application of virtual manufacturing units combined with digital control.Firstly,in response to the weak production information acquisition capability and untimely resource restructuring in aerospace electronic precision component workshops,this paper introduces digital twin technology and proposes a multidimensional and multiscale modeling method for virtual digital twin models.This method constructs information models for different granularity resources at multiple scales and entity models from multiple dimensions.Based on this,the paper achieves unified classification of workshop data and data modeling for the production process.Secondly,considering the large number of process paths and operations in electronic precision component manufacturing and the difficulty of covering all operations with virtual manufacturing units,this paper utilizes an improved genetic algorithm for workpiece clustering.It divides equipment groups based on the clustering results and the production batch of workpieces.It then adjusts the virtual manufacturing units using a unit adjustment scheme with the objectives of inter-unit interaction frequency and unit load balancing.The algorithm and adjustment scheme are validated through experiments and simulations.Thirdly,to address the problem of imbalanced allocation of manufacturing resources after the construction of virtual manufacturing units,this paper combines digital twin technology and proposes a new order similarity judgment method based on resource capability.It determines whether a new order can be assigned to existing virtual units and constructs a multi-objective intra-unit scheduling problem model with the goals of minimizing completion time and balancing equipment loads.The NSGA-II algorithm is improved for optimization,and the effectiveness of the similarity judgment method,scheduling model,and algorithm is verified through computation and simulation.Finally,by integrating the digital twin modeling method for aerospace electronic precision component manufacturing workshops and the reconstruction and scheduling method for virtual manufacturing units,a digital twin prototype system is designed,which includes resource management,scenario visualization,and manufacturing unit reconstruction and scheduling functionalities specifically tailored for virtual units.