Semiautomated Generation of Logic Rules for Tabular Information in Building Codes to Support Automated Code Compliance Checking
Publication: Journal of Computing in Civil Engineering
Volume 36, Issue 1
Abstract
To fully automate building code compliance checking, regulatory requirements need to be automatically extracted and transformed from building codes. Existing regulatory requirement processing efforts mainly focus on building code requirements in text. A more efficient approach for processing regulatory requirements in other parts of building codes, such as tables or charts, remains to be addressed. The ability to process building code requirements in all parts and formats is necessary for an automated code compliance checking system to achieve full coverage of checkable building code requirements. To address this gap, the authors propose a semiautomated information extraction and transformation method. The proposed method can extract building code requirements in tables and convert extracted information to logic rules. Automated code compliance checking systems can utilize the logic rules. The proposed method includes two main steps: (1) tabular information extraction, and (2) rule generation. The tabular information extraction semiautomatically detects the layout of tables, extracts building code requirements from tables, and transforms extracted information to databases. The rule generation step automatically generates logic rules that can be directly executed by logic reasoners. The rule generation step also provides options for users to further refine the generated rules. The development of the tabular information extraction algorithm takes an iterative approach. An experiment was conducted to develop a tabular information extraction algorithm from a section of existing code. The primary version of the algorithm correctly processed 91.67% of tables in a second sample section. After iterative refinements, the updated tabular information extraction algorithm correctly processed all tables in this section. The rule generation algorithm correctly generated logic rules that successfully represented the applicable building code requirements for a testing building, a convenience store in Texas based on the tabular information.
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Data Availability Statement
Some data that support the findings of this study are available from the corresponding author upon reasonable request, including
1.
building codes tables used, and
2.
logic rules generated.
Acknowledgments
The authors would like to thank Dr. Mark J. Clayton for providing the testing model. The authors would like to thank the National Science Foundation (NSF). This material is based on work supported by the NSF under Grant No. 1827733. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.
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Journal of Computing in Civil Engineering
Volume 36 • Issue 1 • January 2022
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© 2021 American Society of Civil Engineers.
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Received: Dec 30, 2020
Accepted: May 14, 2021
Published online: Nov 1, 2021
Published in print: Jan 1, 2022
Discussion open until: Apr 1, 2022
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