Object-centred automated compliance checking: a novel, bottom-up approach

Abstract

Building Information Modelling (BIM) is changing how built assets are delivered and operated. A built asset is represented as a set of objects, each with an identity, attributes, and relations. This object-oriented nature enables new approaches for ensuring compliance with a range of requirements: e.g. industry guidelines; pro-ject and client-specific requirements; and building codes and standards. Furthermore, bottom-up design ap-proaches are known to be more suitable for quality control and design errors detection. Based on an adapted version of simulated annealing concept, this paper proposes an automated compliance checking classification and identifies a set of desired characteristics these methods should fulfil. It then demonstrates a bottom-up object-centred approach for automated model checking and the corresponding plugin prototype. The approach and the prototype enable four key processes and satisfy all desired characteristics of compliance checking methods including content validation, model completeness, smart object, and design option checking. To demonstrate the feasibility and accuracy of the approach, two case studies are processed using existing BIM objects libraries one of which is created by a major French manufacturer. All four steps were successfully completed, and the results show savings of around 125 minutes per object between the automated approach and traditional manual methods of working.

The Development of an Automated System for a Quality Evaluation of Engineering BIM Models: A Case Study

“…Several researchers have explored various sides of ACC within the BIM framework. Doukari et al [14] demonstrated an approach for automated compliance with the requirements stipulated in the project checklist using a plugin prototype. Chois and Kim [23] proposed a methodology to check the BIM data through a system for checking building codes named KBim Assess-Lite.…”

Unpacking Ambiguity in Building Requirements to Support Automated Compliance Checking

“…To address these issues, numerous automated code compliance checking systems have been developed by researchers and practitioners, mainly including hard-coded systems (Jiang and Leicht 2015;Solibri 2022;Solihin et al 2004), language-driven methods (Kim et al 2017;Preidel and Borrmann 2016;Sydora and Stroulia 2020), object-oriented methods (Doukari et al 2022;Garrett Jr and Hakim 1992), logic-based methods (Solihin and Eastman 2016;Tan et al 2010;Zhang and El-Gohary 2016) and semantic and ontology-based methods (Beach et al 2015;Hjelseth and Nisbet 2011;Macit İlal and Günaydın 2017;Wu et al 2021;Zheng et al 2022;Zhou et al 2022). The systems have shown many benefits of ACC, including improving the efficiency and accuracy of the compliance checking (Beach et al 2020;Shahi et al 2019).…”