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Industrial IoT (IIoT) transforms manufacturing and industrial processes by enabling real-time data collection and intelligent automation, thereby enhancing efficiency and agility. Leveraging layered architectures and advanced protocols like OPC UA and DDS, industries can integrate various components to create digital factories. Predictive maintenance and remote monitoring further improve operational uptime and productivity, resulting in a more streamlined production process.
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Untitled document (21).pdfClass Notes
Memorization
What we have learnt
- IIoT represents the applica...
- The standard IIoT architect...
- SCADA systems and digital f...
Final Test
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What we have learnt
- IIoT represents the application of IoT technologies in various industrial sectors, transforming traditional manufacturing.
- The standard IIoT architecture consists of multiple layers, including device, network, edge, platform, and application layers.
- SCADA systems and digital factories utilize IIoT for enhanced monitoring, control, and predictive analytics.
Key Concepts
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Term: IIoT Architecture
Definition: A multi-layered framework comprising device, network, edge, platform, and application layers that ensures effective communication and data integration across industrial systems.
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Term: SCADA Systems
Definition: Supervisory Control and Data Acquisition systems that provide centralized monitoring and control of industrial processes, integrating with IIoT for advanced analytics.
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Term: Predictive Maintenance
Definition: A maintenance strategy that uses data analysis and real-time monitoring to predict equipment failures before they occur, minimizing downtime and repair costs.
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Term: Digital Factories
Definition: Advanced production facilities that integrate physical and digital systems using technologies like cyber-physical systems and digital twins to optimize manufacturing processes.