TY - JOUR
AU - Gao, Dehu
AB - Digital twin technology offers a leading solution for fully automated production lines, enabling real-time monitoring, analysis, optimization, and prediction of the production process. However, in certain areas limited by production capacity, conditions for implementing fully automated production lines are not met, and semi-automated production lines with human–machine collaboration are commonly adopted. The intervention of manual operations and the lack of sensors make the integration of digital twin technology in such systems challenging. To address these issues, this study proposes a framework for a digital twin system driven by an assembly action sequence database. The construction of this system is divided into three steps: First, an action sequence database is established by integrating design for assembly rules to create structured sequences of assembly actions. Second, control nodes are created by utilizing sensor information and virtual collisions to manage the transformation of assembly action sequences. Third, the digital twin is realized by controlling the conversion of assembly actions based on node information changes. Finally, the feasibility of this method is validated through the establishment of a digital twin system for the hydraulic cylinder assembly station, showing that the semi-automated assembly line deployed with this method has the following advantages: First, the introduction of the concept of virtual signals resolves the issue of synchronization between physical and virtual movements due to collisions. Second, the assembly action sequence database can assess the assembly processes for different product models on the same line. Third, the digital twin system synchronizes and prompts 3D operations based on action sequences, significantly reducing the training time for assembly personnel. Lastly, the proposed control method for the digital twin system based on finite state machines provides an effective solution for integrating computer graphics with digital twin systems.
TI - Research on digital twin system driven by assembly action sequence database
JO - The International Journal of Advanced Manufacturing Technology
DO - 10.1007/s00170-025-15636-2
DA - 2025-05-01
UR - https://www.deepdyve.com/lp/springer-journals/research-on-digital-twin-system-driven-by-assembly-action-sequence-zIsg0oLL90
SP - 1259
EP - 1274
VL - 138
IS - 3
DP - DeepDyve
ER -