Do people love 4D BIM? Absolutely!! But are they willing to allocate their resources to create 4D BIM for all of their projects? Or do people simply love the idea of having a 4D BIM readily available to them?
This has been a question on my mind for a while. Of course, the benefits of 4D BIM are apparent: communicating the project vision to the owners, demonstrating various project delivery strategies, resolving issues before anything happens on-site, and benchmarking important productivity data. Numerous whitepapers have shown all of these and more, with projects all over the world.
But what about the effort required in generating a 4D BIM? As we sit in front of screens, model elements burning into our eyes, clicking on beam after beam and doing our very best to interpret the words of the scheduler, I’m sure the thought has occurred to all of us: there must be a better way. And by better way, I don’t mean a better coding convention, I really mean a completely automated mechanism to create 4D BIM. 4D BIM is undeniably value-adding, but creating these models is far from it. Humans are just not suited for certain repetitive tasks, and that’s why we invented machines in the first place. What if we had the ability to automatically generate a 4D BIM, given any 3D model and any schedule?
Our team at University of Illinois has created a machine learning method to accomplish exactly this, and now we are looking for existing, industry-accurate 4D BIMs to test our algorithm. We are looking to find good examples of 3D models, schedules, and the resulting 4D to add to the educational body of knowledge in this field.
With so much unused data throughout the construction industry, we feel it’s the right time to use projects from the past to make our lives easier in the future. The road to a future of automation, however, is paved with data. That is what we are seeking now.
If you’re interested in collaborating with my team on this and want to know how well our algorithms work, please reach out to: email@example.com