对边缘设备和IIoT的高可用性模型的验证
Peter Peniak1, Emília Bubeníková1, Alžbeta Kanáliková1
1Department of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
本研究介绍了一种增强的边缘设备模型,具有冗余性,用于工业环境中的高可用性. 该模型确保快速恢复和100%的数据冗余,这对于关键的制造过程至关重要.
科学领域:
- 工业物联网和边缘计算
- 系统可靠性和高可用性
背景情况:
- 工业竞争力取决于流,高质量的运营,而系统故障会产生严重的经济和安全后果.
- 实时应用程序要求最小化数据处理延迟,推动采用云/雾和边缘计算.
- 现有的边缘解决方案往往缺乏对工业环境至关重要的高可用性和可靠性,冒着应用程序故障和过程中断的风险.
研究的目的:
- 开发和验证一个增强的边缘设备模型,包含冗余性,用于工业应用中的高可用性.
- 集成各种传感器并确保数据同步以实现基于云的决策.
- 提供强大的边缘计算解决方案,最大限度地减少停机时间并确保快速系统恢复.
主要方法:
- 设计了一个边缘设备模型,利用通过与二级设备的镜像或重复来实现冗余性.
- 使用边缘计算实现数据记录,同步和传感器数据的可用性.
- 支持OPC UA和MQTT协议用于边缘设备通信,并在Node-Red软件中实现模型进行测试和验证.
主要成果:
- 验证了一个高可用性边缘设备模型,实现了100%的冗余性和快速恢复时间.
- 证明了Edge镜像对于需要快速恢复而无需调整的关键应用程序的有效性.
- 证实了该模型能够解决边缘设备故障可能影响制造过程的关键情况.
结论:
- 提议的增强边缘设备模型通过内置冗余性显著提高了工业系统的可靠性和可用性.
- 边缘镜像为关键制造业的高可用性需求提供了强大的解决方案,确保最小的干扰.
- 使用边缘重复的进一步改进可以延长边缘高可用性用于高级过程控制的成熟度.
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