A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Modularized BIM Data Validation Framework Integrating Visual Programming Language with LegalRuleML
Abstract A building design must satisfy diverse requirements including building codes, owner’s specifications, design guidelines, and project requirements. In addition, there is a growing need for an automated design evaluation process involving intelligent checking and reporting capabilities that addresses the inefficiency and error-prone nature of the current manual checking practice. To leverage the automated rule checking procedure, we need to overcome two existing key challenges, which are the inherent complexity of rules and the impracticability of checking methods. To address these challenges, this research proposes a node-based visual language approach integrated with the emerging open standard LegalRuleML, which allows the flexibility in defining and executing design rules in a machine-readable and implementable format. The approach effectively facilitates the entire rule-checking process including the rule interpretation from natural language-based requirements to machine-readable forms, rule categorization, rule parameterization, and checking execution with a BIM model. The LegalRuleML-based visual programming language approach for rule checking will help automatically and iteratively evaluate the quality and defects of information conveyed in a given building model interactively as an essential part of design process.
Modularized BIM Data Validation Framework Integrating Visual Programming Language with LegalRuleML
Abstract A building design must satisfy diverse requirements including building codes, owner’s specifications, design guidelines, and project requirements. In addition, there is a growing need for an automated design evaluation process involving intelligent checking and reporting capabilities that addresses the inefficiency and error-prone nature of the current manual checking practice. To leverage the automated rule checking procedure, we need to overcome two existing key challenges, which are the inherent complexity of rules and the impracticability of checking methods. To address these challenges, this research proposes a node-based visual language approach integrated with the emerging open standard LegalRuleML, which allows the flexibility in defining and executing design rules in a machine-readable and implementable format. The approach effectively facilitates the entire rule-checking process including the rule interpretation from natural language-based requirements to machine-readable forms, rule categorization, rule parameterization, and checking execution with a BIM model. The LegalRuleML-based visual programming language approach for rule checking will help automatically and iteratively evaluate the quality and defects of information conveyed in a given building model interactively as an essential part of design process.
Modularized BIM Data Validation Framework Integrating Visual Programming Language with LegalRuleML
Ghannad, Pedram (author) / Lee, Yong-Cheol (author) / Dimyadi, Johannes (author) / Solihin, Wawan (author)
2018-10-04
9 pages
Article/Chapter (Book)
Electronic Resource
English
Building information modeling , BIM data checking , Visual Programming language , LegalRuleML Engineering , Building Construction and Design , Data Mining and Knowledge Discovery , Building Repair and Maintenance , Computer-Aided Engineering (CAD, CAE) and Design , Light Construction, Steel Construction, Timber Construction , Construction Management
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