设备识别助手作为数字双胞胎的额外数据管理方法

IF 4.6 2区工程技术 Q2 ENGINEERING, MANUFACTURING

CIRP Journal of Manufacturing Science and Technology Pub Date : 2024-04-17 DOI:10.1016/j.cirpj.2024.03.007

Sören Dittmann , Marc-Philipp Mathieu , Pengxiang Zhang , Arne Glodde , Franz Dietrich

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引用次数: 0

摘要

在数字孪生系统中重复使用车间数据可以优化制造、生产规划和工程流程。只有在数据结构独立于相关项目团队的情况下，才有可能重复使用数据。目前的方法侧重于有价值但复杂的标准化措施。本文介绍了设备识别助手，作为数字孪生的一种新的、灵活的数据管理方法。这些助手以时间序列分类器为基础，对交流的原始数据进行结构化处理。本文对这些助手进行了实验评估。结果表明，通过时间序列分类进行语义注释的潜力巨大，有助于数字孪生中的数据重用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Device recognition assistants as additional data management method for Digital Twins

Reusing shopfloor data within Digital Twins offers the potential to optimize manufacturing-, production planning-, and engineering processes. Reusing data is only possible if the data is structured independently of the involved project teams. Current approaches focus on valuable, but complex standardization initiatives. This paper introduces device recognition assistants as a new, flexible data management method for Digital Twins. These assistants are based on time series classifiers to structure the communicated raw data. The assistants are experimentally evaluated. The results show the large potential for semantic annotations via time series classifications to assist the reuse of data within Digital Twins.

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来源期刊

CIRP Journal of Manufacturing Science and Technology Engineering-Industrial and Manufacturing Engineering

CiteScore

9.10

自引率

6.20%

发文量

166

审稿时长

63 days

期刊介绍： The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.