Building Information Modeling Using Constraint Logic Programming

Building Information Modeling (BIM) produces three-dimensional object-oriented models of buildings combining the geometrical information with a wide range of properties about materials, products, safety, to name just a few. BIM is slowly but inevitably revolutionizing the architecture, engineering,...

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Veröffentlicht in:Theory and practice of logic programming Jg. 22; H. 5; S. 723 - 738
Hauptverfasser: ARIAS, JOAQUÍN, TÖRMÄ, SEPPO, CARRO, MANUEL, GUPTA, GOPAL
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cambridge, UK Cambridge University Press 01.09.2022
Schlagworte:
Automation
Building information modeling
Building management systems
Buildings
Constraint modelling
Construction
Construction industry
Design
Environmental impact
Evacuation routing
Fire protection
Fire safety
Formalism
Knowledge representation
Logic programming
Original Article
Product safety
Regulations
Three dimensional models
constraint
building information modeling
answer set programming
commonsense reasoning
ISSN:1471-0684, 1475-3081
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Zusammenfassung:Building Information Modeling (BIM) produces three-dimensional object-oriented models of buildings combining the geometrical information with a wide range of properties about materials, products, safety, to name just a few. BIM is slowly but inevitably revolutionizing the architecture, engineering, and construction industry. Buildings need to be compliant with regulations about stability, safety, and environmental impact. Manual compliance checking is tedious and error-prone, and amending flaws discovered only at construction time causes huge additional costs and delays. Several tools can check BIM models for conformance with rules/guidelines. For example, Singapore’s CORENET e-Submission System checks fire safety. But since the current BIM exchange format only contains basic information about building objects, a separate, ad-hoc model pre-processing is required to determine, for example, evacuation routes. Moreover, they face difficulties in adapting existing built-in rules and/or adding new ones (to cater for building regulations, that can vary not only among countries but also among parts of the same city), if at all possible. We propose the use of logic-based executable formalisms (CLP and Constraint ASP) to couple BIM models with advanced knowledge representation and reasoning capabilities. Previous experience shows that such formalisms can be used to uniformly capture and reason with knowledge (including ambiguity) in a large variety of domains. Additionally, incorporating checking within design tools makes it possible to ensure that models are rule-compliant at every step. This also prevents erroneous designs from having to be (partially) redone, which is also costly and burdensome. To validate our proposal, we implemented a preliminary reasoner under CLP(Q/R) and ASP with constraints and evaluated it with several BIM models.
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ISSN:1471-0684
1475-3081
DOI:10.1017/S1471068422000138