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BIMBOT-(Artificial intelligence applied to BIM design)
BIMBOT is an intelligent design assistant for AEC industry. Its toolset runs on a BIM modelling software and produces a series of design solutions through optimised BIM models. It works with the use of advanced artificial intelligence (AI) methods (soft computing optimisation and machine learning) and supported by NoSQL databases. BIMBOT works in several stages: First, the definition of constraints/priorities established by the user runs a generative design process boosted by several AI methods. It creates different solutions on BIM models stored and refined from a catalogue of intelligent objects. So, an interactive process begins in which the users may import BIM models with proposed designs, create or edit them on-the-fly and get assisted by a series of configurable metrics that drive the quality of the design according to the initial preferences. So, we get a complete BIM project as a result of the iterative process. Finally, the continuous training of the algorithms will improve the efficiency in future designs. BIMBOT is conceived to extend the skills designers through software development BIM allowing them to be more productive in complex tasks in their design process. BIMBOT is funded by the European Eureka/Eurostars program (E!12863).
BIMBOT-(Artificial intelligence applied to BIM design)
BIMBOT is an intelligent design assistant for AEC industry. Its toolset runs on a BIM modelling software and produces a series of design solutions through optimised BIM models. It works with the use of advanced artificial intelligence (AI) methods (soft computing optimisation and machine learning) and supported by NoSQL databases. BIMBOT works in several stages: First, the definition of constraints/priorities established by the user runs a generative design process boosted by several AI methods. It creates different solutions on BIM models stored and refined from a catalogue of intelligent objects. So, an interactive process begins in which the users may import BIM models with proposed designs, create or edit them on-the-fly and get assisted by a series of configurable metrics that drive the quality of the design according to the initial preferences. So, we get a complete BIM project as a result of the iterative process. Finally, the continuous training of the algorithms will improve the efficiency in future designs. BIMBOT is conceived to extend the skills designers through software development BIM allowing them to be more productive in complex tasks in their design process. BIMBOT is funded by the European Eureka/Eurostars program (E!12863).
BIMBOT-(Artificial intelligence applied to BIM design)
César Frías (author) / Jose María Peña (author) / Érika Sánchez (author) / Lorena Almeida (author)
2020
Article (Journal)
Electronic Resource
Unknown
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