Ontology-Based Semantic Construction Image Interpretation

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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2023-11
Major/Subject
Mcode
Degree programme
Language
en
Pages
Series
Buildings, Volume 13, issue 11
Abstract
Image-based techniques have become integral to the construction sector, aiding in project planning, progress monitoring, quality control, and documentation. In this paper, we address two key challenges that limit our ability to fully exploit the potential of images. The first is the “semantic gap” between low-level image features and high-level semantic descriptions. The second is the lack of principled integration between images and other digital systems used in construction, such as construction schedules and building information modeling (BIM). These challenges make it difficult to effectively incorporate images into digital twins of construction (DTC), a critical concept that addresses the construction industry’s need for more efficient project management and decision-making. To address these challenges, we first propose an ontology-based construction image interpretation (CII) framework to formalize the interpretation and integration workflow. Then, the DiCon-SII ontology is developed to provide a formalized vocabulary for visual construction contents and features. DiCon-SII also acts as a bridge between images and other digital systems to help construct an image-involved DTC. To evaluate the practical application of DiCon-SII and CII in supporting construction management tasks and as a precursor to DTC, we conducted a case study involving drywall installation. Via this case study, we demonstrate how the proposed methods can be used to infer the operational stage of a construction process, estimate labor productivity, and retrieve specific images based on user queries.
Description
Funding Information: This research was funded by the ACTOR project of Business Finland’s Low Carbon Built Environment Program that receives funding from EU’s Recovery and Resilience Facility (from 2022 onward) and the Building 2030 consortium of 21 Finnish companies (until 2021). Publisher Copyright: © 2023 by the authors.
Keywords
construction, digital twin construction (DTC), ontology, semantic image interpretation (SII)
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Citation
Zheng, Y, Khalid Masood, M, Seppänen, O, Törmä, S & Aikala, A 2023, ' Ontology-Based Semantic Construction Image Interpretation ', Buildings, vol. 13, no. 11, 2812 . https://doi.org/10.3390/buildings13112812