Data
A digital twin starts with the GIS, not the platform
The most valuable part of a utility digital twin is the part nobody wants to fund: accurate asset data.
Digital twin platforms for water, power, and facilities are impressive in demonstrations. In practice, their value is bounded by the accuracy of the asset data underneath them. Before an agency buys a platform, it should look at its GIS.
The usual state of the data
Pipes drawn from as-built drawings that were never verified. Valves that exist in the field but not in the system, or the reverse. Connectivity that was never captured, so the model cannot trace flow. Attribute fields half-filled. Multiple copies of the network in different systems that disagree.
What a twin needs
A single, connected network model with verified attributes and a maintenance workflow that keeps it current when crews replace a main or add a service. Live data mapped to the right assets. Then, and only then, a simulation engine that can use it.
How to get there
- Assess the data against what the intended analyses require.
- Reconcile sources and pick one system of record for each asset class.
- Field-verify the assets that matter most, using mobile tools that update the record directly.
- Capture connectivity and validate it with a trace.
- Establish the edit workflow tied to work orders so the data stays right.
- Connect sensor and meter data.
- Apply an engineering model, likely one the utility already licenses.
What this costs and returns
The data work is unglamorous and takes months. It also pays off immediately in operations, outage response, and capital planning, independent of any twin. The platform decision can wait until the data can support it.
For procurement
Separate the data foundation from any platform purchase. Require open formats and export from any platform. Evaluate platforms on the specific decisions they will support with your data, not on demonstrations with the vendor's.