A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Linked-Data based Constraint-Checking (LDCC) to support look-ahead planning in construction
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.
Highlights Develops an approach to construction constraints using linked-data in look-ahead planning This is a linked-data-based dynamic constraint checking (LDCC) approach. It address the complexities and interdependencies in construction constraints. Process information is modeled in Resource Description Framework (RDF) on top of the ifcOWLontology. Constraints are modeled in Shapes Query Language (SHACL). A prototype is demonstrated and validated to show the value of modeling constraints.
Linked-Data based Constraint-Checking (LDCC) to support look-ahead planning in construction
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.
Highlights Develops an approach to construction constraints using linked-data in look-ahead planning This is a linked-data-based dynamic constraint checking (LDCC) approach. It address the complexities and interdependencies in construction constraints. Process information is modeled in Resource Description Framework (RDF) on top of the ifcOWLontology. Constraints are modeled in Shapes Query Language (SHACL). A prototype is demonstrated and validated to show the value of modeling constraints.
Linked-Data based Constraint-Checking (LDCC) to support look-ahead planning in construction
Soman, Ranjith K. (author) / Molina-Solana, Miguel (author) / Whyte, Jennifer K. (author)
2020-07-16
Article (Journal)
Electronic Resource
English
Integrated Production Scheduler for Construction Look-Ahead Planning
| British Library Conference Proceedings | 1999
| Springer Verlag | 2020
| Online Contents | 1996
| British Library Online Contents | 1995