Research on iterative design of human-machine interface of intelligent agricultural machinery based on digital twin

Abstract

With the continuous development of digital twin technology, its application in the field of intelligent agricultural machinery has gradually attracted attention. This paper studies the iterative design of human-machine interfaces for intelligent agricultural machinery driven by digital twins. By analyzing the role of digital twins in intelligent agricultural machinery, key elements of iterative design, and interface optimization strategies, it explores how digital twin technology can promote interface design optimization and improve operational efficiency of intelligent agricultural machinery. The study shows that digital twin technology, through real-time data feedback and virtual simulation technology, can effectively support continuous interface optimization and significantly enhance the operator experience and agricultural machinery operation efficiency. Furthermore, experiments and case studies validate the application value of digital twin technology in interface design, providing theoretical basis and practical experience for the intelligent upgrade of intelligent agricultural machinery. However, the study also points out the challenges and limitations of digital twin technology in practical applications and envisions the promising future of digital twin technology in intelligent agricultural machinery interface design.