Review Digital Twin

A digital twin is a digital representation of a specific physical asset, process, or system that is maintained with relevant data so it can support monitoring, analysis, simulation, or decisions about its real counterpart.

The twin is more than a static drawing. It represents selected properties and states of something real and is updated through data, observations, or operational records.

A twin can support planning and prediction, but decisions are only as sound as the model scope, data quality, update process, and match between the representation and reality.

A factory maintains a digital representation of a production line using sensor and maintenance data to test scheduling and failure scenarios.

A digital twin is not a perfect copy of reality. It is a purpose-built model that omits details and can become stale.

A digital twin is a maintained model tied to one real counterpart.

* [[system|System]] * [[scenario|Scenario]] * [[context-to-reality-drift|Context-to-Reality Drift]] * [[data-provenance|Data Provenance]] * [[current-state|Current State]]

* [NIST, Digital Twins](https://www.nist.gov/digital-twins) — official overview of digital-twin models, uses, and standards work.

* Monitor representation drift through [[context-to-reality-drift|Context-to-Reality Drift]].