Revit has the capability of digital twins. However it's original use wasnt meant for storing data. The data is sent to a CAFM, IWMS system where it is stored. The next step would be to have clear use cases set out at handover, to the owners facility with the chosen FM system. (ArchiBUS, Dalux, Tandem etc) Typical use cases include Space planning and management, Asset register, work order management. Another useful usecase is linking all OEM information and warranty data to equipment (Typically set as an owner standard for closeout for the engineers and consultants) But to have a true digital twin there needs to be long term planning, for lifecycle management. Most new construction buildings needs to have clear change management processes in place to identify gaps in data, normally from building operating staff or facility managers. A building is a living breathing entity and and needs to be thought of as a whole.
Hey. Long time follower of the channel, always cease to get inspired by your approach. The idea to involve community in asset building could definitely be the next thing. And this could be not assets in a traditional way, but more like a public database of rules and algorithms, but in construction. Something like UE blueprints, but with more broad set of rules and conditions. Anyways, by now this looks very promising to me. Thanks for your commitment!
First guess few seconds into the video was that GAAS would be "Generative Assets As a Service" :) Well perhaps not that far off. There are so many fields that are currently changing with the rise of the latest progression in Machine Learning. Some people just sits there complaining in fear of it taking jobs while others sees both the threats for the current ways we do our work and at the same time the possibilities to do better; Seeing that the current ways we do our jobs has already been very inefficient and also slow moving for a long time and that it really needs to change. At the same time wanting to do these changes Machine Learning "came out of nowhere", like a gift as one of the great tools that we can use to enables the change we for so long wanted.... rather needed. I am always glad to see people in different fields taking upon these challenges, I wonder if some of these big building software companies will be like the old Kodak that was unable to adapt to the digital camera era, unable to adapt to whatever the unknown adaptation of Machine Learning will result into.
Revit has the capability of digital twins. However it's original use wasnt meant for storing data. The data is sent to a CAFM, IWMS system where it is stored.
The next step would be to have clear use cases set out at handover, to the owners facility with the chosen FM system. (ArchiBUS, Dalux, Tandem etc)
Typical use cases include Space planning and management, Asset register, work order management.
Another useful usecase is linking all OEM information and warranty data to equipment (Typically set as an owner standard for closeout for the engineers and consultants)
But to have a true digital twin there needs to be long term planning, for lifecycle management. Most new construction buildings needs to have clear change management processes in place to identify gaps in data, normally from building operating staff or facility managers.
A building is a living breathing entity and and needs to be thought of as a whole.
Very excited to see where this is going. Thank you.
I guess that the secret project is the MSG Sphere.
Hey. Long time follower of the channel, always cease to get inspired by your approach. The idea to involve community in asset building could definitely be the next thing. And this could be not assets in a traditional way, but more like a public database of rules and algorithms, but in construction. Something like UE blueprints, but with more broad set of rules and conditions. Anyways, by now this looks very promising to me. Thanks for your commitment!
I like your thinking... Looking forward to seeing more
First guess few seconds into the video was that GAAS would be "Generative Assets As a Service" :) Well perhaps not that far off.
There are so many fields that are currently changing with the rise of the latest progression in Machine Learning. Some people just sits there complaining in fear of it taking jobs while others sees both the threats for the current ways we do our work and at the same time the possibilities to do better; Seeing that the current ways we do our jobs has already been very inefficient and also slow moving for a long time and that it really needs to change. At the same time wanting to do these changes Machine Learning "came out of nowhere", like a gift as one of the great tools that we can use to enables the change we for so long wanted.... rather needed.
I am always glad to see people in different fields taking upon these challenges, I wonder if some of these big building software companies will be like the old Kodak that was unable to adapt to the digital camera era, unable to adapt to whatever the unknown adaptation of Machine Learning will result into.
what you will suggest - Rhino or catia for small projects.
Love the vegas hint😂😂😂
I'm IN.
procedural modelisation ?
Great, count on me!
Geometry as a service
Кад научиш да клонираш, добио си језик за стварање од нуле ...
❤
👍🏽