Ontology-based semantic modeling of regulation constraint for automated construction quality compliance checking: Fid-Bau Portal

Ontology-based semantic modeling of regulation constraint for automated construction quality compliance checking

Zhong, B.T. / Ding, L.Y. / Luo, H.B. / Zhou, Y. / Hu, Y.Z. / Hu, H.M.

Abstract Regulations play an important role in assuring the construction quality. However, due to the large amount of regulation needs considered, the construction quality compliance checking against regulations can be cumbersome/time-consuming and error prone. In order to give more computerized support to the construction quality compliance checking against regulations, an ontology-based semantic modeling approach of regulation constraints is explored. A meta model for construction quality inspection and evaluation i.e. CQIEOntology is proposed in this paper. Based on CQIEontology, the regulation constraints are modeled into OWL axioms and SWRL rules. By these OWL axioms and SWRL rules, the regulation provisions imposed on construction quality inspection can be translated into a set of inspection tasks, and get associated with the specific construction tasks. Once the construction starts, the applicable inspection tasks, including a series of quality checking and evaluation, will be reminded and recommended. Obviously, the proposed approach facilitates taking the construction quality compliance checking as a paralleling activity to the construction rather than an afterthought, and helps the inspectors in quality inspection. Finally, the approach is demonstrated in Protégé 3.4.6 through case studies based on regulation examples taken from “Code for Acceptance of Construction Quality of Building Foundation (GB50202-2002) and the validation and discussion are given for it.”

Highlights ► A meta model for construction quality inspection and evaluation is proposed. ► Ontology and semantic technologies are selected to model the relevant knowledge. ► The approach is tested and assessed. ► Helping inspectors implement quality checking against relevant regulations.