Bryden Wood’s digital configurator apps are deliberately aimed at lowering the barrier to entry, while Professor Glass notes that at UCL there’s a part of the faculty entirely composed of data scientists looking at the built environment.
One of the struggles facing traditional construction is the fact that every building is a prototype.This means, even if (and it’s a big ‘if’) you have some structured, operational data, it only tells you about that particular asset type.
You won’t learn anything about the next building you build, as it will also be a prototype.Construction Platform design unlocks this problem with its consistency of components.This uniformity of build means there is suddenly something meaningful to do with operational data.
Learning how the components perform, or how the facade systems are working, can help refine the components and make a better asset next time.This standardisation at component level creates the ability to put a feedback loop in place.
Furthermore, it opens up an opportunity for machine learning and artificial intelligence to come into construction, as they require vast data sets to operate.
If we want to get into AI in construction, and even digital twins, we have to put the building blocks in place now.Jaimie Johnston MBE, Head of Global Systems at Bryden Wood and Design Lead for the Construction Innovation Hub, is equally enthusiastic about the changes taking place within the industry.
and the shift toward industrialised construction.He reminds us that post-war housing was built using a kit-of-parts approach and that Roman forts were prefabricated.
A thought-leader and leading author within the MMC/Platform construction space, Johnston talks about the development of the.UK Government’s Construction Playbook.