Scope¶
- genre: survey
- language: en-GB
- draft: content/drafts/dt/survey.md
- created: 2026-09-15
- corpus: 214 citekeys, digest
a31f0c4b77de - draft digest: not recorded (run
dossier stamponce the draft is ready)
Reader¶
A first-year PhD student who has a control-engineering background, has read perhaps five digital-twin papers, and needs to know what the field agrees on, where it contradicts itself, and which questions are still open enough to build a thesis on.
Covers¶
Definitional families and how they differ; fidelity as a design choice rather than a quality score; synchronisation between asset and model, including staleness and dropped links; and validation practice -- how little of it exists, and what the papers that attempt it actually do.
Does not cover¶
Vendor platforms and middleware: the corpus holds three papers naming products, none of which compares them, so anything written here would be a summary of marketing rather than of evidence.
Manufacturing-floor case studies. Deliberate -- the reader's thesis is in water infrastructure, and the transfer argument is a section of their own chapter rather than of this survey.
Security and access control. Not a scoping judgement but a corpus one: seven candidates were retrieved and all seven were position papers with no evaluation, so the theme is named here rather than written thinly.
Glossary¶
- Digital twin -- a virtual representation of an asset with automatic, bidirectional data flow between the two.
- Digital shadow -- automatic flow from asset to model only. The distinction is load-bearing in this survey: several papers claim "twin" for what this definition calls a shadow.
- Fidelity -- how closely the model reproduces the asset's behaviour on the quantities the twin's decision depends on, never in general.
- Staleness -- the age of the newest synchronised value, in seconds.
- Validation -- comparison of twin output against measurements from the physical asset. Reserved for that; agreement between two models is called cross-verification here.