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资产管理外工具比较:在石化工业中使用真实数字双胞胎的案例研究

Fatih Kaya¹, Ezgi Şanlı², Özlem Albayrak^2,3

¹Department of Computer Engineering, Uludağ University, 16059 Bursa, Turkey.

Sensors (Basel, Switzerland)

|April 12, 2025

概括

本研究比较了四个资产管理外 (AAS) 工具用于工业4.0实施. Eclipse BaSyx在学习练习和现实世界石化案例研究中表现出卓越的表现.

科学领域:

* 数字制造和工业4.0的发展
*工业物联网 (IIoT) 和网络物理系统

背景情况:

* 资产管理外 (AAS) 是工业4.0的关键组成部分,促进物理和数字系统之间的集成.
* AAS实现的各种工具和技术存在,这给开发人员和建模人员带来了挑战.
*选择合适的AAS工具对于成功的数字化转型至关重要.

研究的目的:

* 帮助AAS建模者和实施者选择最合适的工具和技术.
* 提供领先的AAS实施工具的全面比较.
* 在模拟和真实的工业场景中评估工具性能.

主要方法:

* 进行文献调查以确定活跃的AAS工具.
* 在评估中包括了四个突出的工具:AASX服务器,Eclipse BaSyx,FA3ST服务和NOVAAS.
*使用详细的标准清单进行了比较分析,分两个阶段进行:初步学习练习和石化行业案例研究.

主要成果:

*与AASX服务器,FA3ST服务和NOVAAS相比,Eclipse BaSyx表现出更高的性能.
* 评估包括在石油化工设施中实体资产的数字双胞胎的实际应用.
*确定了未来研究领域,包括机器学习和深度学习模型的整合.

结论:

* Eclipse BaSyx是AAS实施的高效工具,其性能优于其他评估的选项.
* 该研究为在工业环境中选择AAS技术提供了有价值的见解.
*未来的工作将探索先进的分析集成,以加强资产管理.

关键词:

资产管理外资产管理外工业4.0 工业4.0 工业4.0 工业4.0 工业4.0 是一个数字双胞胎数字双胞胎是什么意思数字双胞胎互操作性互操作性

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