Faculty of Control Systems and Robotics, ITMO University, Kronverksky Pr. 49, bldg. A, Saint Petersburg 197101, Russia.
PLM department, Bee Pitron SP, Ltd., Vilenskiy pereulok 4, Saint Petersburg 191014, Russia.
Philos Trans A Math Phys Eng Sci. 2021 Oct 4;379(2207):20200370. doi: 10.1098/rsta.2020.0370. Epub 2021 Aug 16.
The article describes an industrial cyber-physical platform for small series production using digital twins under development at ITMO University (Saint Petersburg, Russia). The platform is based on the following approaches: group technology, adaptive and selective assembling, and digital twin of production systems and processes. The article presents a mechanism for constructing a unified manufacturing process, and results of an integrated multiscale simulation of an injection moulding process. The issues of ensuring identification and monitoring of objects of the industrial cyber-physical platform are considered. Specific service applications required to implement the smart product concept are discussed. The combination of the considered technologies is used to create digital twins of production system objects. All humans that have different roles in the product value stream can interact with the industrial cyber-physical platform at the three levels, receiving support in performing their tasks. This article is part of the theme issue 'Towards symbiotic autonomous systems'.
该文描述了俄罗斯圣彼得堡国立信息技术、机械与光学大学(ITMO 大学)正在开发的一个用于小批量生产的工业网络物理系统平台,该平台基于以下方法:成组技术、自适应和选择性装配以及生产系统和过程的数字孪生。本文提出了一种构建统一制造过程的机制,以及注塑成型过程的综合多尺度模拟的结果。考虑了确保工业网络物理系统平台对象识别和监控的问题。讨论了实现智能产品概念所需的特定服务应用程序。所考虑的技术的组合用于创建生产系统对象的数字孪生。在产品价值链中具有不同角色的所有人员都可以在三个级别与工业网络物理系统平台交互,并在执行任务时获得支持。本文是主题为“走向共生自治系统”的一部分。