Active Engineering Economics & Business

Leeds Beckett University and ARC Building Solutions Limited KTP 24_25 R3

In plain English

AI plain-English summary

A construction site will soon use artificial intelligence to catch installation faults as they happen, not after the building is finished. This project creates a monitoring system that tracks the quality of building installations in real time. Currently, faults in construction—such as poorly fitted insulation or incorrectly placed pipes—are often discovered late, when fixing them is expensive and disruptive. The system uses sensors to collect data during installation and an AI model to spot deviations from specifications immediately. It also automates fault finding and creates a dynamic digital record of the building’s assets. If successful, the system could reduce costly rework, improve building energy performance, and extend the lifespan of infrastructure. For the construction industry, it means fewer delays and lower waste. For building owners and occupants, it means fewer hidden defects that lead to draughty rooms, damp walls, or inefficient heating. The technology is not fundamental science—it is an applied engineering solution aimed at a practical, commercial product. Its impact will be measured in reduced costs, improved quality, and more reliable buildings.

View original technical description
To create a bespoke, quality and installation monitoring product utilising AI predictive model development and data monitoring to optimise installation quality, automation of fault finding and dynamic digital asset management.

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Original classification

Knowledge Transfer Partnership

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