Digital twin development for UAE asset owners and operators

A digital twin joins the two and keeps them current: each element in the model is linked to live and historical data about the real component it represents. Select a chiller and you see its temperatures, running hours, last service and open work orders.

A descriptive twin shows the current state. A diagnostic twin helps explain why something happened. A predictive twin forecasts what will happen, and a prescriptive twin recommends what to do. Most organisations see the best return by building a solid descriptive twin of one important asset first, then extending it.

The physical layer is the sensors, meters and control systems that produce data; where they are missing, we specify and install them, including custom hardware when no off-the-shelf device fits. The data layer collects readings as time series tied to an asset hierarchy. The model layer holds geometry and structure. The application layer is what people use: dashboards, 3D views, alerts and reports.

We use LoRaWAN and MQTT for field connectivity, integrate with SCADA, and build headset experiences on Unity and OpenXR. Projects are scoped so that a first asset goes live early and value is proven before the twin grows.

Remote facilities, spread-out networks and large buildings fit this pattern well, and so do offshore and energy assets where every site visit is expensive.

We recommend one asset and one question first, proof of value, then expansion.