Digital Twin Creation

What we do

Rockall Projects creates practical digital twins that connect accurate existing-condition geometry with a structured information set that can be used for handover, operations, maintenance, and change control.

In simple terms: a digital twin is only valuable if it’s usable. We focus on clear scope, sensible structure, and outputs that integrate with how project and FM teams actually work—rather than producing an impressive model that no one can maintain.

Digital twin creation can be delivered:

from new project information, or
from reality capture (laser scanning / point clouds) where an accurate baseline is needed.

What a digital twin is (and isn’t)

A digital twin typically includes:

a reliable spatial model (BIM/CAD) of the asset
a clear space/zone structure (levels, rooms, areas)
asset data (equipment lists, tags, locations, key attributes)
agreed data standards and naming conventions
a handover pack that supports continued use and updates

A digital twin is not automatically:

a live IoT platform, or
“fully intelligent” without a defined data model, governance, and ongoing maintenance.

We can support the foundation that makes those next steps possible.

Typical uses

Digital twins are most valuable when teams need a dependable “single source of truth”:

Handover readiness for operations and maintenance
Asset location and verification (what is installed, where it is, and what it is)
Space management and planning (areas, occupancy, adjacencies)
Change control during refurbishment cycles
Risk reduction where information gaps create uncertainty
Standardised documentation for estates portfolios

Deliverables

We tailor deliverables to your chosen workflow and platform requirements.

Common deliverables include:

Spatial model in Revit (RVT) and/or IFC
Space/zone structure aligned to your estate conventions
Asset register / dataset (e.g., Excel/CSV or platform-ready formats as required)
Asset tagging strategy and basic data dictionary (what fields exist and why)
Handover pack describing scope, assumptions, model structure, and update approach
If generated from capture: supporting point cloud formats (E57 / RCP/RCS etc.)

If you already operate a CAFM/IWMS/asset platform, we’ll align the dataset structure so your team can ingest it cleanly.

Our process

Discovery and scope
What it will be used for, who will maintain it, and what data is required.
Baseline geometry
From existing BIM/CAD, or created from scans via Scan to BIM where needed.
Structure and data model
Zones/spaces, asset categories, required fields, naming conventions.
Asset and space population
Data built into the model and/or delivered as a structured dataset.
QA and validation
Checks for completeness, consistency, and usability.
Handover and guidance
Deliverables packaged with a clear “how to use / how to update” handover note.

Example use cases

Operational handover model + asset dataset
A structured model and register aligned to the client’s naming and maintenance approach.
Portfolio baseline for refurbishment cycles
Establishing a reliable “known good” dataset to control change across multiple projects.
Space and asset verification
Confirming what exists and where, to reduce uncertainty and improve planning.