A rule-based semantic approach for automated regulatory compliance in the construction sector

A key concern for professionals in any industry is ensuring regulatory compliance. Regulations are often complex and require in depth technical knowledge of the domain in which they operate. The level of technical detail and complexity in regulations is a barrier to their automation due to extensive software development time and costs that are involved. In this paper we present a rule-based semantic approach formulated as a methodology to overcome these issues by allowing domain experts to specify their own regulatory compliance systems without the need for extensive software development. Our methodology is based on the key idea that three semantic contexts are needed to fully understand the regulations being automated: the semantics of the target domain, the specific semantics of regulations being considered, and the semantics of the data format that is to be checked for compliance. This approach allows domain experts to create and maintain their own regulatory compliance systems, within a semantic domain that is familiar to them. At the same time, our approach allows for the often diverse nature of semantics within a particular domain by decoupling the specific semantics of regulations from the semantics of the domain itself. This paper demonstrates how our methodology has been validated using a series of regulations automated by professionals within the construction domain. The regulations that have been developed are then in turn validated on real building data stored in an industry specific format (the IFCs). The adoption of this methodology has greatly advanced the process of automating these complex sets of construction regulations, allowing the full automation of the regulation scheme within 18 months. We believe that these positive results show that, by adopting our methodology, the barriers to the building of regulatory compliance systems will be greatly lowered and the adoption of three semantic domains proposed by our methodology provides tangible benefits

Automated compliance checking in healthcare building design

Regulatory frameworks associated to building design are usually complex, representing extensive sets of requirements. For healthcare projects in the UK, this includes statutory and guidance documents. Existing research indicates that they contain subjective requirements, which challenge the practical adoption of automated compliance checking, leading to limited outcomes. This paper aims to propose recommendations for the adoption of automated compliance checking in the design of healthcare buildings. Design Science Research was used to gain a detailed understanding of how information from existing regulatory requirements affects automation, through an empirical study in the design of a primary healthcare facility. In this study, a previously proposed taxonomy was implemented and refined, resulting in the identification of different types of subjective requirements. Based on empirical data emerging from the research, a set of recommendations was proposed focusing on the revision of regulatory documents, as well as to aid designers implementing automated compliance in practice

Capabilities of rule representations for automated compliance checking in healthcare buildings

A suitable rule representation is essential to enable automated compliance checking of building design. It encapsulates engineering knowledge and facilitates an adequate interpretation of design standards. However, existing methods have achieved limited capabilities to represent rules for automated compliance checking. Thus, they merely worked for limited types of rules. This paper aims to identify capabilities needed for rule representation by using healthcare design regulations as an example. It can serve as a foundation for developing rule engines and compliance-checking systems in the future. A four-step process was used to systematically analyse six healthcare building regulations in rule-oriented and implementation aspects. The results showed 18 capabilities for healthcare rule representation, where 16 are required, and two are desirable. This research is valuable to researchers and practitioners by providing a checklist for future representation development and criteria for assessing rule representation methods

Unveiling the actual progress of Digital Building Permit: Getting awareness through a critical state of the art review

Growing interest is awarded to the digitalization of the building permitting use case and many works are developed about the topic. However, the subject is very complex and many aspects are usually tackled separately, making it very hard for traditional literature reviews to grasp the actual progress in the overall topic. This paper unveils the detailed state of the art in Digital Building Permitting (DBP) by critically analysing the literature by means of a set of coding tags (research progress, implementation, affected DBP workflow steps, ambitions addressed) assigned by a multidisciplinary team. The executed research shows that the mainly addressed aspects of the digitalization of building permit process are the technologies to check the compliance of design proposals against regulations, followed by the digitalization of regulations. Improvable aspects identified in the entire building permit system are instead e.g. the involvement of officers, scalability of solutions and interoperability of data, intended both as data validation and as integration of geospatial data with building models. © 2022 The Author

Automatic rule verification for digital building permits

Dissertação de mestrado em Modelação de Informação na Construção de Edifícios BIM A+O sector da construção está a enfrentar grandes mudanças nas exigências do cliente e do mercado, empurrando para a transformação digital e para uma indústria orientada para os dados. Os governos tomaram parte ativa nesta mudança, apoiando a digitalização de processos como o das licenças de construção, introduzindo a utilização de modelos de informação de construção (BIM). A investigação sobre a digitalização do licenciamento municipal de construções mostrou grandes avanços no que diz respeito à extração de regras de forma interpretável e à automatização de verificações; contudo, a conciliação entre as definições semânticas do modelo de construção e os conceitos definidos nos regulamentos está ainda em discussão. Além disso, a validação da acuidade das informações incluídas nos modelos de construção relativamente às definições do regulamento é importante para garantir a qualidade ao longo do processo de licença de construção. Esta dissertação visa propor um fluxo de trabalho híbrido para verificar a informação extraída explicitamente do modelo BIM e a informação implicitamente derivada das relações entre elementos, seguindo as disposições contidas nos regulamentos no contexto de Portugal. Com base em alguma revisão de literatura, foi proposto um novo processo, e foi desenvolvido um código Python utilizando a biblioteca IfcOpenshell para apoiar a automatização do processo de verificação, tradicionalmente realizada por técnicos nos gabinetes de licenciamento municipal. Os elementos desenvolvidos neste documento foram comprovados num estudo de caso, demonstrando que a validação híbrida pode ajudar a detetar erros de modelação e melhorar a acuidade da informação durante a apresentação inicial de modelos para um processo de licença de construção. Os resultados indicam que a inclusão de uma validação automática do modelo contra definições regulamentares pode ser introduzida para melhorar o grau de certeza da qualidade da informação contida no Modelo de Informação, além disso, a proposta de métodos que produzem resultados a partir de informação implícita pode alargar as capacidades do esquema IFC. Contudo, os esquemas desenvolvidos neste trabalho estão ainda em constante revisão e desenvolvimento e têm limitações de aplicabilidade em relação a certas classes do IFC.The construction sector is facing major changes in the client and market requirements, pushing towards the digital transformation and a data driven industry. Governments have taken an active part in this change by supporting the digitalization of processes such as the one for building permits by introducing the use of building information models (BIM). The research on the digitalization of the building permit has shown great advancements in regarding the rule extraction in interpretable ways and the automation of the verification; however, the conciliation between the building model semantic definitions and the concepts defined in the regulations is still in discussion. Moreover, the validation of the correctness of the information included in building models regarding the regulation definitions is important to guarantee the quality along the digital building permit process. This dissertation aims to propose a hybrid workflow to check the information extracted explicitly from the BIM model and the information implicitly derived from relationships between elements by following the provisions contained in the regulations in the context of Portugal. Based on some context and literature review, a process reengineering was proposed, and a Python code was developed using the IfcOpenShell library to support the automation of the verification process, traditionally carried out by technicians in the building permit offices. The elements developed in this document were proven in a case-study, demonstrating that the hybrid validation can help to detect modelling errors and improve the certainty of correctness of information during the initial submission of models for a building permit process. The results indicate that the inclusion of an automated validation of the model against regulation definitions can be introduced to improve the degree of certainty of the quality of the information contained in the Building Information Model, moreover the proposal of methods that produce results from implicit information can extend the capabilities of the IFC schema. However, the scripts developed in this work are still under constant review and development and have limitations of applicability in relation to certain IFC classes.Erasmus Mundus Joint Master Degree Programme – ERASMUS

LLM-FuncMapper: Function Identification for Interpreting Complex Clauses in Building Codes via LLM

As a vital stage of automated rule checking (ARC), rule interpretation of regulatory texts requires considerable effort. However, interpreting regulatory clauses with implicit properties or complex computational logic is still challenging due to the lack of domain knowledge and limited expressibility of conventional logic representations. Thus, LLM-FuncMapper, an approach to identifying predefined functions needed to interpret various regulatory clauses based on the large language model (LLM), is proposed. First, by systematically analysis of building codes, a series of atomic functions are defined to capture shared computational logics of implicit properties and complex constraints, creating a database of common blocks for interpreting regulatory clauses. Then, a prompt template with the chain of thought is developed and further enhanced with a classification-based tuning strategy, to enable common LLMs for effective function identification. Finally, the proposed approach is validated with statistical analysis, experiments, and proof of concept. Statistical analysis reveals a long-tail distribution and high expressibility of the developed function database, with which almost 100% of computer-processible clauses can be interpreted and represented as computer-executable codes. Experiments show that LLM-FuncMapper achieve promising results in identifying relevant predefined functions for rule interpretation. Further proof of concept in automated rule interpretation also demonstrates the possibility of LLM-FuncMapper in interpreting complex regulatory clauses. To the best of our knowledge, this study is the first attempt to introduce LLM for understanding and interpreting complex regulatory clauses, which may shed light on further adoption of LLM in the construction domain

Towards fully-automated code compliance checking of building regulations: challenges for rule interpretation and representation

Before the building design is finalised, it needs to be checked against regulations. Traditionally, manual compliance checking is error-prone and time-consuming. As a solution, automatic compliance checking (ACC) was proposed. Many studies have focused on the crucial ACC rule interpretation process, yet no research has synthesised the themes and identified future research opportunities. This paper thus aims to fill this gap by conducting a systematic literature review and identifying challenges facing this field. Findings revealed that the representation development process lacks a methodological backdrop. Understandings of rules, representations, and relationships between them are insufficient. Potential solutions were proposed to address these challenges

Unpacking Ambiguity in Building Requirements to Support Automated Compliance Checking

In the architecture, engineering, and construction (AEC) industry, manual compliance checking is labor-intensive, time-consuming, expensive, and error-prone. Automated compliance checking (ACC) has been extensively studied in the past 50 years to improve the productivity and accuracy of the compliance checking process. While numerous ACC systems have been proposed, these systems can only deal with requirements that include quantitative metrics or specified properties. This leaves the remaining 53% of building requirements to be checked manually, mainly due to the ambiguity embedded in them. In the literature, little is known about the ambiguity of building requirements, which impedes their accurate interpretation and automated checking. This research thus aims to address this issue and establish a taxonomy of ambiguity. Building requirements in health building notes (HBNs) are analyzed using an inductive approach. The results show that some ambiguous clauses in building requirements reflect regulators’ intention while others are unintentional, resulting from the use of language, tacit knowledge, and ACC-specific reasons. This research is valuable for compliance-checking researchers and practitioners because it unpacks ambiguity in building requirements, laying a solid foundation for addressing ambiguity appropriately