A model of the building
that knows what it is doing.
A model earns its cost when the asset inside it is the same asset record the alarms, the analytics and the work orders are already using. Ours is bound to that registry rather than maintained alongside it, so it does not quietly go out of date the way a hand-updated model does.
Select something. It answers.
Illustrative readings below, but the interaction is the product: the model is a way into the data, not a picture of it.
Seven things that make a twin operational.
What ours does, and what it does not.
This one does not detect a fault, verify a saving or close a job — the platform underneath does all of that. What the model adds is an estate that is legible to people who do not read control graphics, which is most of the people who have to make decisions about it.
It also mirrors the building as it is, not as it might be. Simulation is on our roadmap rather than in the product, and we would rather say so than let the word imply it.
So the twin here sits on top of the same platform as everything else: fault detection finds the problem, work management closes it, and measurement and verification proves what the fix returned. The model is where you see it happen.
- 3D model or photographic walkthrough, both live
- Equipment bound to the model, not labelled on it
- Live points and status on selection
- Floor-by-floor alarm and equipment counts
- Condition overlays across the space
- Tagged temperature, air, electrical and water
- One asset registry shared with every other module
Worth it when it is wired to something
If the model is updated by hand it becomes wrong within a month. Attached to a live data layer and one asset registry, it stays true because it is reading the same records everything else is.
