Utility Digital Twin Framework
Create a living digital representation of your utility — a real-time operational model of the whole smart utility ecosystem.
Create a living digital representation of your utility
The smoc.cloud Utility Digital Twin Framework creates a real-time operational model of your entire smart utility ecosystem.
The framework continuously synchronises physical and logical assets across metering, communications, distribution networks, customer connections, field devices and enterprise systems. Operational teams gain a complete contextual view of every customer, meter, communication path, network asset and service point — enabling simulation, impact analysis, predictive planning and operational optimisation at scale.
How the bridge works
Field reality and enterprise systems, connected by a framework that observes, correlates, models, mirrors and simulates the estate continuously.
- Smart meters
- Gas, water and heat
- EV charge points and PV generation
- Concentrators
- Bearers — RF, cellular, PLC
- 01 · Observe
Every device and every event ingested from any network, any head-end, any vendor — including devices you have not procured yet.
- 02 · Correlate
Field, network, head-end and enterprise events ordered onto one timeline per device and per population, so cause is derived rather than assumed.
- 03 · Model
Each device bound to its asset, feeder, site, service point and customer in the CIM-aligned semantic model.
- 04 · Mirror
A continuously updated twin of asset, topology and behaviour state, kept current as the estate is commissioned, replaced or reconfigured.
- 05 · Simulate
Expected-behaviour comparison and what-if analysis run against the real estate, not a spreadsheet approximation of it.
- HES — head-end system
- MDMS — meter data management
- ADMS — advanced distribution
- GIS — geographic information
- SIEM — security
- Billing / ERP
Nothing travels from a meter into an enterprise system as an isolated reading. Each event is resolved to a canonical device, placed on the correlated timeline and bound to its asset and topology — which is why the same twin can answer an operational question, a regulatory question and a network-planning question without being rebuilt for each.
Digital Twin coverage
What the model synchronises, physically and logically, as the estate changes.
Smart meters
Every device, its firmware generation, register profile and service history.
Communications infrastructure
Bearers, gateways, routers and the paths a read actually travels.
Data concentrators
Aggregation points, their dependent populations and their load.
WAN and cellular networks
Cells, sectors and WAN links carrying AMI traffic.
Transformers and substations
Supply assets upstream of the meters they serve.
Feeders and service points
Electrical and logical position of every connection.
Customer premises
Premises, accounts and the service relationship behind each device.
Distribution network assets
The wider network the metering estate sits inside.
Work orders and operational workflows
Field activity, as it happens, against the assets it touches.
What it enables
Simulation, impact analysis, predictive planning and operational optimisation at scale.
What-if modelling
Test a change against the real estate before committing to it.
Turn isolated systems into a living, operationally aware utility model.
The Digital Twin becomes the operational intelligence layer connecting AMI, ADMS, OMS, GIS, MDMS, CIS, ERP and workforce platforms into a single operational model.
Prediction on top of the twin
Once the estate is modelled and mirrored, analytics can forecast degradation against expected behaviour rather than against last year's averages.
See your estate in smoc.cloud.
A demo walks through your utility types, your vendors and your compliance obligations — not a generic slide deck.