Digital Twin Based Definition (DTBD) Modeling Technology for Product Life Cycle Management and Optimization

Abstract

Model Based Definition realizes the unified transmission of information between digital product design and manufacturing process, but it cannot provide support for the full life cycle management of Digital Twin products. This paper proposed the Digital Twin Based Definition (DTBD) technology, and the definition, the application principles, the composition and characteristics, the way of interaction, the system hierarchical relationships, the division of sub-models and the collaborative relationship between them, are described in detail. The main procedures of developing DTBD model are presented. The model is built on MBD, and the evaluation of processing mode and efficiency of each module of the model will be obtained in the simulation system, which will be used as the basis for optimal design. The product operation data collected by sensors is processed by multiple information fusion algorithm to form the data group which is the basis for updating the Digital Twin attribute of the model to the actual operation state of the product. The operational status data of the models is shared with industrial Internet technology, and to acquire the long-life model operating conditions, the differences between model states are analyzed by data mining algorithm. Product fault characteristics obtained by multi-scale information extraction algorithm are fed back to the data list of the model for design optimization, and to avoid similar failures, fault data is shared. DTBD as an enabling technology improves MBD, and promotes the development of Digital Twin and intelligent manufacturing processes which cover design, processing, optimization and life cycle management.