Towards Automated Compliance Checking in the Construction Industry

Beach, Thomas; Kasim, Tala; Li, Haijiang; Nisbet, Nicholas; Rezgui, Yacine

doi:10.1007/978-3-642-40285-2_32

Cited by 20 publications

(20 citation statements)

References 4 publications

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“…This has developed further in the SMARTcodes project [21], a joint project with the International Code Council (ICC), AEC3 Ltd and Digital Alchemy [19]. It enables the translation of building codes and standards from written language rules to computer code, using a dictionary of domain-specific terms being developed as part of the IFD and semi-formal mapping methods [22]. In this way, regulatory codes can be converted into logic rules in a fraction of the time it takes to convert manually, and since the text is so closely associated with the rule logic, it can be considered as a complete quality system.…”

Section: Natural Language-based (Nlb) Interpretation Of Rulesmentioning

confidence: 99%

Parametric Modelling in Construction: Investigating the Quality of Rule-Based Checking

Warren¹

2019

WIT Transactions on the Built Environment

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As thinking moves away from 3D visualisation towards information quality and speed of data exchange, [1], the architectural, engineering and construction (AEC) industry is seeking efficiency via the automation of checking. This study aims to examine the current quality of the checking in design, how it is controlled, and the adoption of automatic checking using rule-based checking software. It is based on the hypotheses that there is a need for automation that will improve quality; a need of a means to achieve automation and a need for understanding in industry. After the investigation of quality in design, this paper poses three questions: first, can a quality system be applied to automatic checking in design?; second, if the potential for rule-based checking is understood and utilised, could quality be assured?; and third, can we identify the optimal balance between manual and automatic checking? The conclusion shows that AEC professionals have low confidence in the quality of design data; the current balance is heavily in favour of manual checking, and while the potential for automatic checking is known, its current utilisation is lacking due to complexity, poor software support and a lack of training. Alarmingly, there is an indication that the majority who deal with automatic checking have no system of validation for new checking rules and only a minority had training in rule authorship.

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Section: Natural Language-based (Nlb) Interpretation Of Rulesmentioning

confidence: 99%

Parametric Modelling in Construction: Investigating the Quality of Rule-Based Checking

Warren¹

2019

WIT Transactions on the Built Environment

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“…For the ontologybased effort by Yurchyshyna et al (2010;, the reasoning in their ontology-centered approach was implemented by matching Resource Description Framework (RDF)-represented design information with SPARQL queries-represented regulatory information, but a set of expert rules need to be manually defined through document annotations (i.e., annotations by content and external sources) to organize the SPARQL queries and enable reasoning, resulting in ad-hoc reasoning and lack of full automation. In the work by Beach et al (2013) and Dimyadi et al (2014), the mechanism of reasoning (e.g., sequence of rule execution) was not specified.…”

Section: State-of-the-art Acc In the Aec Industrymentioning

confidence: 99%

Semantic-Based Logic Representation and Reasoning for Automated Regulatory Compliance Checking

Zhang

El-Gohary

2017

J. Comput. Civ. Eng.

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Existing automated compliance checking (ACC) efforts are limited in their automation and reasoning capabilities; the state of the art in ACC still uses ad-hoc reasoning schema/methods, with lack of support for complete automation in ACC reasoning. First-order logic (FOL) representation and reasoning can provide a generalized reasoning method to facilitate complete automation in ACC reasoning. This paper presents a new FOL-based information representation and compliance reasoning (IRep and CR) schema for representing and reasoning about regulatory information and design information for checking regulatory compliance of building designs. The schema formalizes the representation of regulatory information and design information in the form of semantic-based (ontology-based) logic clauses that could be directly used for automated compliance reasoning. Two alternative subschemas, following a closed world assumption and an open world assumption for noncompliance detection, respectively, were proposed and tested. The proposed IRep and CR schema was tested in representing and reasoning about quantitative regulatory requirements in Chapter 19 of the International Building Code 2009 and design information of a two-story duplex apartment test case in two ways, using perfect information and imperfect information. The closed world assumption subschema was selected based on performance results; it achieved 100% recall and precision in noncompliance detection using

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“…Specific domain based studies are also available in literature, like code checking application for high rise buildings [4]. Some efforts are mainly focused on improving the applicability of these computable rules [7]. For instance, Zhang et al [8], established a connection between jobsemantic modelling of safety rules [8].…”

Section: Literature Reviewmentioning

confidence: 99%

Safety Regulation Classification System to Support BIM Based Safety Management

Hussain¹,

Lee²,

Pham³

et al. 2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-Construction accidents, injuries, and fatalities have not declined significantly, despite continuous efforts from researchers, safety professionals, and strongly-enforced safety laws. In managing safety, construction personnel are required to access a variety of rules, regulations, guidelines, and documents. However, finding the right contents, and communicating them to right person tends to be tedious and time-consuming, because construction safety information is not systematically structured. This study contributes to addressing this issue by introducing a system framework for integrating BIM dataset with classified regulation document. To accomplish the study objective, a general classification system is developed for safety rules using criteria that can reflect safety rules in BIM environments. To demonstrate, the OSHA's safety and health technical guidelines are selected to classify the legal provisions into safety management steps and tasks aiming to integrate with construction work sequence. From classified safety rules, four different cases are presented to show the practical implementation of classification system. The developed approach is expected to reduce oversights, enable to deliver the relevant safety rules at the right time, and reduce the efforts required for searching through safety contents.

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Towards Automated Compliance Checking in the Construction Industry

Cited by 20 publications

References 4 publications

Parametric Modelling in Construction: Investigating the Quality of Rule-Based Checking

Parametric Modelling in Construction: Investigating the Quality of Rule-Based Checking

Semantic-Based Logic Representation and Reasoning for Automated Regulatory Compliance Checking

Safety Regulation Classification System to Support BIM Based Safety Management

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