Linked-Data based Constraint-Checking (LDCC) to support look-ahead planning in construction
File(s)1-s2.0-S0926580520309493-main.pdf (3.05 MB)
Published version
Author(s)
Soman, Ranjith
Molina Solana, Miguel
Whyte, Jennifer
Type
Journal Article
Abstract
In the construction sector, complex constraints are not usually modeled in conventional scheduling and 4D building information modeling software, as they are highly dynamic and span multiple domains. The lack of embedded constraint relationships in such software means that, as Automated Data Collection (ADC) technologies become used, it cannot automatically deduce the effect of deviations to schedule. This paper presents a novel method, using semantic web technologies, to model and validate complex scheduling constraints. It presents a Linked-Data based Constraint-Checking (LDCC) approach, using the Shapes Constraint Language (SHACL). A prototype web application is developed using this approach and evaluated using an OpenBIM dataset. Results demonstrate the potential of LDCC to check for constraint violation in distributed construction data. This novel method (LDCC) and its first prototype is a contribution that can be extended in future research in linked-data, BIM based rule-checking, lean construction and ADC.
Date Issued
2020-12-01
Date Acceptance
2020-07-16
Citation
Automation in Construction, 2020, 120
ISSN
0926-5805
Publisher
Elsevier
Journal / Book Title
Automation in Construction
Volume
120
Copyright Statement
© 2020 The Authors. Published by Elsevier B.V. his is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
Subjects
Building & Construction
09 Engineering
12 Built Environment and Design
Publication Status
Published
Article Number
ARTN 103369
Date Publish Online
2020-08-11