IIoT & Industry 4.0: MQTT, UNS & Digital Twin

IIoT & Industry 4.0: MQTT, UNS & Digital Twin
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch

Every major operator is talking about digital transformation. Most IIoT programmes fail – not because the technology does not work, but because the people implementing them were never given a structured framework for what to connect, what to compute at the edge, what to send to the cloud, and how to govern the data that results.
The work is anchored in the architectures that make industrial IoT work: MQTT with Sparkplug B as the messaging standard, the Unified Namespace as the single source of plant truth, and the edge-to-cloud split that decides what is computed where.
It opens with what IIoT and Industry 4.0 actually mean for a process plant, separating the substance from the marketing, then IIoT architecture: the layers from sensor to edge to cloud and how data flows between them.
Edge computing is covered as the decision about what to compute at the plant – latency, bandwidth, and resilience – then MQTT and Sparkplug B as the lightweight, report-by-exception messaging that suits industrial data.
The Unified Namespace is given its own lesson because it is the idea that most often separates a coherent IIoT programme from a tangle of point-to-point integrations – a single, structured, real-time source of plant state.
Cloud platforms and analytics, then digital twins, follow – the simulation and modelling layer that turns plant data into prediction and optimisation.
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