迈向数字孪生云平台:微服务和计算工作流来管理智能工厂

K. Borodulin, G. Radchenko, A. Shestakov, L. Sokolinsky, A. Tchernykh, R. Prodan
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引用次数: 38

摘要

“工业4.0”的概念将智能工厂视为数据驱动和知识驱动的企业智能。在这样的工厂中,制造过程和最终产品都伴随着虚拟模型——数字双胞胎。为了支持数字孪生概念,应该将每个进程或系统的仿真模型实现为独立的计算服务。实现一组独立服务的编排并为模拟提供可伸缩性的唯一方法是使用云计算平台作为计算基础设施的提供者。在本文中,我们描述了一个数字孪生即服务(DTaaS)模型,用于使用数字孪生模拟和预测工业过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Digital Twins Cloud Platform: Microservices and Computational Workflows to Rule a Smart Factory
The concept of "Industry 4.0" considers smart factories as data-driven and knowledge enabled enterprise intelligence. In such kind of factory, manufacturing processes and final products are accompanied by virtual models -- Digital Twins. To support Digital Twins concept, a simulation model for each process or system should be implemented as independent computational service. The only way to implement an orchestration of a set of independent services and provide scalability for simulation is to use a cloud computing platform as a provider of the computing infrastructure. In this paper, we describe a Digital Twin-as-a-Service (DTaaS) model for simulation and prediction of industrial processes using Digital Twins.
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