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走向分布式数字双胞胎框架,用于工业物联网 (IIoT) 的预测性维护
Ibrahim Abdullahi1, Stefano Longo1, Mohammad Samie1
1School of Aerospace, Transport and Manufacturing (SATM), Cranfield University, Bedford MK43 0AL, UK.
Sensors (Basel, Switzerland)
|April 27, 2024
概括
本研究介绍了使用雾计算用于风力轮机预测维护的分布式数字双胞胎架构. 这通过实时监控和分析来增强资产管理,以提高运营效率.
科学领域:
- 事物的工业互联网 (IIoT)
- 数字双胞胎 (DT) 技术技术
- 迷雾计算 迷雾计算 迷雾计算
背景情况:
- 数字双胞胎 (DTs) 集成物联网,云计算和软件工程,用于物理对象复制.
- 数据技术通过预测性维护和机器学习促进制造业的资产管理.
- 目前的数据技术需要改进标准和架构,以实现高效的实时预测维护.
研究的目的:
- 展示分布式数字双胞胎架构,用于风力轮机的预测性维护.
- 通过实时状态监测和预测分析来增强资产利用和管理.
- 为有效的预测性维护解决当前数字双胞胎标准中的局限性.
主要方法:
- 在工业物联网 (IIoT) 领域中利用风力轮机案例研究.
- 为预测性维护解决方案的关键方面实施了雾计算范式.
- 改进了典型的预测维护数字双胞胎,以增强资产管理能力.
主要成果:
- 展示了一个分布式数字双胞胎架构,利用风力轮机的雾计算.
- 启用实时状态监控,预测分析和风力轮机组件的健康管理.
- 通过拟议的DT架构展示了通过提议的DT架构改进的资产利用和管理.
结论:
- 拟议的分布式数字双胞胎架构有效地支持IIoT环境中的预测性维护.
- 雾计算增强了数字双胞胎的实时能力,用于工业资产管理.
- 进一步发展数据技术标准和反机制对于优化资产管理运营至关重要.
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