Automated compliance checking across the building lifecycle: Systematic and semantic review integrating PRISMA and deep search
Ju Hyun Lee, Seung Yeul Ji, Michael J. Ostwald
UNSW Sydney Hanyang University
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摘要与影响
As building regulations grow in complexity and digital design workflows become more integrated, the need for automated compliance checking (ACC) is intensifying. This review combines PRISMA with AI-assisted semantic retrieval and concept mapping, using Boolean and Deep Search to identify 88 peer-reviewed studies and broaden coverage across disciplines. The dual approach balances methodological rigour with the discovery capacity needed to surface studies missed by conventional keyword searches, enabling lifecycle-oriented synthesis. The paper synthesises recent advances across rule-based, ontology-driven, and AI-enhanced ACC systems, tracing a shift toward more flexible, lifecycle-aware compliance frameworks. It also introduces a conceptual map that visualise ACC processes across five lifecycle stages. Persistent barriers include interoperability gaps, limited post-construction support, and challenges in large-scale rule formalisation. Findings indicate the growing need for hybrid tools that support re-checking and traceability. The paper outlines future directions for transparent, adaptive, and jurisdiction-sensitive ACC systems in design automation and regulatory practice. • ACC systems are systematically reviewed using PRISMA and Deep Search. • A conceptual map illustrates an integrated ACC framework across the lifecycle. • Early rule-based ACC has evolved into AI, LLM, and ontology-driven systems. • Future directions focus on interoperability, re-checking, and rule scalability.
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工程BIM and Construction Integration
Data Quality and Management · Spreadsheets and End-User Computing
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