Digital twin design patterns including state-based and simulation-based modeling, real-time state synchronization, predictive maintenance via simulation, what-if scenario analysis, 3D visualization, and platform guidance for Azure Digital Twins and AWS IoT TwinMaker.
references/twin-modeling.md — maturity levels, state-based vs simulation-based twins, DTDL ontology design, example twin state documentreferences/sync-and-scenarios.md — device-to-twin and twin-to-device sync flows, consistency model, staleness handling, what-if sandbox implementationreferences/predictive-maintenance.md — RUL prediction approach, baseline modeling, degradation tracking, ML model selection (Isolation Forest, LSTM, Weibull)references/visualization-and-platforms.md — 3D visualization options (Three.js, BIM, Unreal), Azure Digital Twins, AWS IoT TwinMaker, Eclipse Ditto, FIWARE