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基于 OPC UA 的数字孪生烟雾报警器校准工作坊信息模型的研究与应用。

Research and application of OPC UA-based digital twin smoke alarm calibration workshop information model.

机构信息

School of Mechanical and Electrical Engineering, Ningbo Polytechnic, Ningbo, Zhejiang, China.

Ningbo Weizmat Electronics Co., Ltd., Ningbo, Zhejiang, China.

出版信息

PLoS One. 2024 Jul 25;19(7):e0307801. doi: 10.1371/journal.pone.0307801. eCollection 2024.

DOI:10.1371/journal.pone.0307801
PMID:39052649
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11271951/
Abstract

Aiming at the problems of data integration and information sharing in the calibration workshop of smoke alarm, combining OPC Unified Architecture (OPC UA) and digital twin technology, the OPC UA based digital twin smoke alarm calibration workshop information network framework is proposed. Using OPC UA information modeling technology, a digital workshop information model for smoke alarm calibration was constructed, and the static attribute set, process attribute set, and functional component set of the workshop were defined in detail. Taking the smoke box as an example, the information model construction was instantiated, and data collection and transmission were carried out with the digital twin model of the smoke box, achieving the implementation mapping between the twin model and physical entities. The results show that based on the proposed OPC UA information model, the interconnection and intercommunication of data at all levels of the digital twin smoke alarm calibration workshop can be achieved, and the workshop can be visualized, digitized, and flexible.

摘要

针对烟雾报警器校准车间的数据集成和信息共享问题,结合 OPC 统一架构(OPC UA)和数字孪生技术,提出了基于 OPC UA 的数字孪生烟雾报警器校准车间信息网络框架。利用 OPC UA 信息建模技术,构建了烟雾报警器校准数字车间信息模型,详细定义了车间的静态属性集、过程属性集和功能组件集。以烟雾箱为例,对信息模型进行实例化,并与烟雾箱的数字孪生模型进行数据采集和传输,实现孪生模型与物理实体之间的实施映射。结果表明,基于所提出的 OPC UA 信息模型,可以实现数字孪生烟雾报警器校准车间各层次数据的互联和互操作,实现车间的可视化、数字化和灵活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/340020a7506e/pone.0307801.g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/0622fca12704/pone.0307801.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/353e7929deda/pone.0307801.g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/a0e5c0af55ff/pone.0307801.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/e2e184af5c36/pone.0307801.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/5f306854646d/pone.0307801.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/a24b4764dbc2/pone.0307801.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/9dbe36bacaf4/pone.0307801.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/591a9feb0e92/pone.0307801.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/8c1b1b2938e4/pone.0307801.g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/62560ee0bbe9/pone.0307801.g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/340020a7506e/pone.0307801.g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/0622fca12704/pone.0307801.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/353e7929deda/pone.0307801.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/f9aa4557daf0/pone.0307801.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/24778017be39/pone.0307801.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/5447bdcd6960/pone.0307801.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/a0e5c0af55ff/pone.0307801.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/e2e184af5c36/pone.0307801.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/5f306854646d/pone.0307801.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/a24b4764dbc2/pone.0307801.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/9dbe36bacaf4/pone.0307801.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/591a9feb0e92/pone.0307801.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/8c1b1b2938e4/pone.0307801.g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/62560ee0bbe9/pone.0307801.g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14f/11271951/340020a7506e/pone.0307801.g014.jpg

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本文引用的文献

1
Research on digital twin modeling and monitoring technology for smoke alarm calibration system.烟雾报警器校准系统的数字孪生建模与监测技术研究
Sci Rep. 2023 Nov 7;13(1):19239. doi: 10.1038/s41598-023-46761-1.