Original quote
"Reality-capture data enables FM professionals to move from assumption-based maintenance planning to evidence-based lifecycle management, significantly reducing long-term capital expenditure." — Hou & Remoy (2021)
What this actually means
Most FM teams manage buildings based on drawings that no longer reflect reality — every undocumented modification is a future cost risk
LiDAR scanning and photogrammetry can capture an entire building's current state in days, producing millimetre-accurate 3D point clouds that become the single source of truth
Reality-capture data directly feeds into lifecycle cost planning: knowing exactly what assets exist, where they are, and in what condition enables accurate capex forecasting
For heritage and industrial buildings — where modifications are frequent and drawings are unreliable — reality capture is not a luxury but a risk management tool
The data created is not a one-time deliverable: it becomes the foundation of a continuously updated Digital Twin as the building evolves
What you could do with this
A guide to scoping a reality-capture project: what to scan, what output formats to request, and how to use the data in FM workflows
A lifecycle cost modelling tool that uses asset condition data (from scans or surveys) to project 10–20 year capex scenarios
A case study template FM freelancers can use to document the value of a reality-capture project for a client
Tools built on this research
Full reference
Hou, C., & Remoy, H. (2021). Digital Twins to Enable Smart Heritage Facilities Management: A Systematic Literature Review. 28th Annual European Real Estate Society Conference.
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