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Linked-Data Constraint Checking (LDCC) to support look-ahead planning in construction

Soman, Ranjith K. and Molina-Solana, Miguel and Whyte, Jennifer
Automation in Construction 120, 103369 (2020)

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.

Links:

DOI: 10.1016/j.autcon.2020.103369
PDF: https://authors.elsevier.com/sd/article/S0926580520309493

Bibtex:

@article{Soman2020,
  author = {Soman, Ranjith~K. and Molina-Solana, Miguel and Whyte, Jennifer},
  title = {Linked-Data Constraint Checking (LDCC) to support look-ahead planning in construction},
  journal = {Automation in Construction},
  year = {2020},
  volume = {120},
  articleno = {103369},
  doi = {10.1016/j.autcon.2020.103369},
  comment = {https://authors.elsevier.com/sd/article/S0926580520309493},
  timestamp = {27}
}