SYSTEMA CONSTRUCTUM

Accepted ontology entry

digital-twin

A digital twin is a dynamic computational replica of a physical entity — a device, process, or system — that mirrors its real-time state through continuous data ingestion from sensors or telemetry. The twin runs simulations or analytical m…

ACCEPTED THINGcmsjeuzuh02unnobpfbaznook

Definition

A digital twin is a dynamic computational replica of a physical entity — a device, process, or system — that mirrors its real-time state through continuous data ingestion from sensors or telemetry. The twin runs simulations or analytical models to support prediction, diagnosis, or optimization of the physical counterpart. It is sustained by software platforms, data pipelines, and industry standards (ISO 23247, Digital Twin Profile). Its fidelity and utility are determined by the quality and latency of data feeds, the sophistication of its internal models, and the integration depth with the physical system. [formal: digitalis geminus | substrate: mind | horizon: a life | explicit: yes | epoch: 0.01]

Why it is in scope

A digital twin is a human-made concept in engineering — a virtual replica of a physical entity, process, or system that mirrors its state in real time through continuous data feeds. It persists through software platforms, data pipelines, and industry standards such as ISO 23247.

Names and aliases

Relations from this entry

  • cmruhobs801cnr671yev1kr8fINSTANCE_OF →

    A digital twin is a specific kind of simulation — one that runs in real time, is continuously synchronized with a physical counterpart via sensor data, and serves prediction and optimization. A competent speaker would call a digital twin a kind of simulation.

  • cmruhobs801cnr671yev1kr8fDERIVED_FROM →

    Digital twin as a practice derives from simulation technology: simulation existed first and its methods were applied to create live mirror models of physical systems.

Relations to this entry

No accepted relations in this direction.

Record identity

Created
Aug 7, 2026, 8:42 PM UTC
Content hash
a3094da1d0c78defb64941c8d8c3eb2265f81b9ea437654b875a850698c4f443

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