From simple digital twin to complex digital twin part II: Multi-scenario applications of digital twin shop floor

简单(哲学) 可视化 计算机科学 构造(python库) 工程制图 工程类 人工智能 认识论 哲学 程序设计语言
作者
Wenjie Jia,Wei Wang,Zhenzu Zhang
出处
期刊:Advanced Engineering Informatics [Elsevier BV]
卷期号:56: 101915-101915 被引量:72
标识
DOI:10.1016/j.aei.2023.101915
摘要

The shop floor has always been an important application object for the digital twin. It is well known that production, process, and product are the core business of the shop floor. Therefore, the digital twin shop floor covers multi-dimensional information and multi-scale application scenarios. In this paper, the digital twin shop floor is constructed according to the modeling method of the complex digital twin proposed in Part I. The digital twin shop floor is firstly divided into several simple digital twins that focus on scenarios of different scales. Two simple application scenarios are constructed, including tool wear prediction and spindle temperature prediction. Main functions in different application scenarios, such as data acquisition, data processing, and data visualization, are implemented and encapsulated as components to construct simple digital twins. Secondly, ontology models, knowledge graphs, and message queues are used to assemble these simple digital twins into the complex digital twin shop floor. And two complex application scenarios are constructed, including machining geometry simulation considering spindle temperature and production scheduling considering tool wear. The implementation of the complex digital twin shop floor demonstrates the feasibility of the proposed modeling method.
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