Digital Twin Maturity Model Exploratory Phase
The next step on the journey is the creation of digital twin capabilities around a defined use case which involves a small number of open data sets across 2 domains (e.g. transport volume and air quality). This approach allows a first foray into the world of predictive modelling, enabling the city to test interoperability.
Key enablers for this stage include digital capabilities to model and understand data, funding to enable the innovation pilot and the ability to test the digital twin play.
Questions to address at this stage include: What outcomes/use case needs to be achieved? Is there buy-in from the relevant stakeholders from both domains? Is the data needed available? What existing analytics models can be leveraged? What contractual/legal obligations and/or restrictions are there for the data? Does the data need processing/cleaning/formatting?
This peer-reviewed paper by IEEE provides a concise overview of what a local digital twin is, the importance of interoperability and how they leverage data for 'what-if' analysis.
Useful Deliverables from DUET
Easy to understand guide on legal necessities for data-driven policy making
Models and interaction frameworks which guide the DUET simulations.
Validated future scenarios and final list of user requirements to support tech implementation.
Description of IoT stacks from southbound agents until northbound API.
Other Useful Resources
W3C: International standards organisation with a group working towards a Digital Twins Definition Language (DTDL)
OASC: Global network focused on Minimum Interoperability Standards (MIMs) for tech with geolocation basis..