2026 Vol.9 Jun.N03

• Title: A Study on the Coordinated Control and Optimization of Pre-cut Vegetable Processing Equipment Driven by Digital Twins
• Name: XueCheng Hou， XiaoGe Jing， JingXian Fan， AoYu Li
• Company: Mechanical and Electrical Engineering School,Zhengzhou Business University ,GongYi， 451200,China
• Abstract:

  Current methods for the coordinated control of fresh-cut vegetable processing equipment primarily rely on traditional fixed-parameter matching mechanisms for regulation. However, because these methods fail to establish coupled relationships among the operating conditions of multiple pieces of equipment, control accuracy is limited. To address this, this study proposes a digital twin-driven approach to the coordinated control and optimization of fresh-cut vegetable processing equipment. By integrating the core operating conditions of multiple pieces of equipment with the processing status of raw materials, a bidirectional virtual-physical mapping system is established to quantify the coupled operating state of the production line.Using the virtual-physical mapping state variables as the core input, this study combines temporal processing characteristics to uncover nonlinear relationships between equipment operating conditions and processing outcomes. Optimal equipment operating parameters are obtained through adaptive fitting, thereby addressing the shortcomings of traditional manual parameter tuning in terms of adaptability. Based on these optimal parameters, the dynamic adjustment ranges for each processing device are quantified, and a coordinated adaptation coefficient is used to balance the parameter adjustment rhythms across multiple units.Combining the production line’s coupled operational state, a comprehensive production line efficiency evaluation system is established to achieve coordinated parameter adaptation across multiple pieces of equipment and optimize the overall operational state. In experiments, the control accuracy of the proposed method was verified. Test comparison results clearly demonstrate that when the proposed method is used for the coordinated control and optimization of fresh-cut vegetable processing equipment, the average equipment coordination and synchronization rate reaches 61.8%, indicating relatively ideal control performance.

  
  

• Keyword: Digital twin-driven; fresh-cut vegetables; processing equipment; coordinated control; optimization method;
• DOI: 10.12250/jpciams2026090611
• Citation form: XueCheng Hou,XiaoGe Jing,JingXian Fan,AoYu Li.A Study on the Coordinated Control and Optimization of Pre-cut Vegetable Processing Equipment Driven by Digital Twins[J]. Computer Informatization and Mechanical System,2026,Vol.9,pp.

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