Digital twin creates the virtual model of physical entity in digital way, promotes the interaction and integration of physical world and information world, and builds a reliable bridge for industrial information integration. With the rapid evolution of digital twin, the application of digital twin has found an increasingly wide utilization in smart manufacturing. In view of the practical problems encountered by the current smart manufacturing enterprises, this paper aims to carry out quantitative green performance evaluation of smart manufacturing (GPEoSM) driven by digital twin-based industrial information integration system. Based on the mapping between entity and model of smart manufacturing projects, the integration of digital twin information and the interaction of GPEoSM approach, a GPEoSM framework is constructed. According to the framework, a green performance evaluation case for smart manufacturing project of an air conditioning enterprise is carried out. The result shows that the digital twin driven GPEoSM framework is effective and enhances the green performance evaluation of smart manufacturing.

数字孪生以数字化的方式创建物理实体的虚拟模型，促进物理世界与信息世界的交互与融合，为工业信息融合搭建可靠的桥梁。随着数字孪生的快速发展，数字孪生在智能制造中的应用越来越广泛。针对当前智能制造企业遇到的实际问题，本文旨在开展基于数字孪生的工业信息集成系统驱动的智能制造绿色绩效量化评价（GPEoSM）。基于智能制造项目实体与模型的映射、数字孪生信息的整合以及GPEoSM方法的交互，构建了GPEoSM框架。根据框架，开展空调企业智能制造项目绿色绩效评价案例。结果表明，数字孪生驱动的 GPEoSM 框架是有效的，增强了智能制造的绿色绩效评估。