From connectivity to simulations - the evolution of Digital Twin
summary
Claims that Digital Twin now spans IoT to business simulation and drives mass LowCode/NoCode adoption, backed by concrete builds: a LoRaWAN deployment for UK water meters where LoRaWAN smart meters plus GIS and treating the gateway layer as network-as-telemetry lets operators pinpoint leaks, and a factory pilot using tablets for human-augmented data enrichment that finds faulty machines without extra sensors. Mentions Node-RED (Docker) for edge prototyping, recommends time-series, graph and columnar stores, warns LowCode scales poorly without governance and invites professional follow-up.
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chapters (12)
- 0:00Introduction and speaker background
- 1:57Digital Twin history and concept
- 7:08Digital Twin layers and pyramid
- 13:23Case study water network digital twin
- 17:59Case study human-augmented digital twin
- 20:14Low code and no code overview
- 25:58Low code governance and concerns
- 30:57Low code limitations and pitfalls
- 33:28Digital Twin as master data analogy
- 37:23Digital Twin in system integration
- 38:30Summary and key takeaways
- 40:16Q&A and closing
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