ABSTRACT

The digital twin-based manufacturing system is a typical representative of smart manufacturing and has a number of advantages beyond the state of the art. However, when a manufacturing system needs to be reconfigured to meet new requirements of production, manual reconfiguration is time-consuming and high labor cost because of the complexity of the digital twin-based manufacturing system and the imperfection of related models. This problem will be even worse if there are industrial robots with characteristics of complex functions and inflexible programming in the manufacturing system. This paper presents a five-dimensional fusion model of a digital twin virtual entity for robotics-based smart manufacturing systems to support automatic reconfiguration, which can not only realistically describes physical manufacturing resources, but also represents the capabilities and dependencies of the digital twins. Reconfigurable strategies based on service function blocks, which can improve the reusability of functions and algorithms, are proposed to make the robotics-based manufacturing system satisfy the various reconfigurable requirements of different granularities and goals. Finally, a prototype system is developed to demonstrate the performance of the reconfigurable digital twin-based manufacturing system, which can improve the operation efficiency of such systems for carrying out the reconfiguring production tasks in a flexible way.

摘要

基于数字孪生的制造系统是智能制造的典型代表，具有许多超越现有技术的优势。然而，当制造系统需要重新配置以满足新的生产需求时，由于基于数字孪生的制造系统的复杂性和相关模型的不完善，手动重新配置既费时又费力。如果制造系统中存在功能复杂、编程不灵活等特点的工业机器人，这个问题会更加严重。本文提出了一个基于机器人的智能制造系统的数字孪生虚拟实体的五维融合模型，以支持自动重构，它不仅可以真实地描述物理制造资源，但也代表了数字孪生的能力和依赖性。提出了基于服务功能块的可重构策略，可以提高功能和算法的可重用性，使基于机器人的制造系统满足不同粒度和目标的各种可重构需求。最后，开发了原型系统来展示基于可重构数字孪生的制造系统的性能，该系统可以提高此类系统的运行效率，以灵活地执行重构生产任务。提出使基于机器人的制造系统满足不同粒度和目标的各种可重构要求。最后，开发了原型系统来展示基于可重构数字孪生的制造系统的性能，该系统可以提高此类系统的运行效率，以灵活地执行重构生产任务。提出使基于机器人的制造系统满足不同粒度和目标的各种可重构要求。最后，开发了原型系统来展示基于可重构数字孪生的制造系统的性能，该系统可以提高此类系统的运行效率，以灵活地执行重构生产任务。