TY  - CONF
TI  - An Ontology for Representing Crawler Crane Operational Space Requirement on Semantic Web
C1  - Auckland, New Zealand
C3  - Proceedings of the 32nd Annual Conference of the International Group for Lean Construction (IGLC 32)
SP  - 648
EP  - 659
PY  - 2024
DO  - 10.24928/2024/0134
AU  - Agrawal, Ajay Kumar
AU  - Zou, Yang
AU  - Chen, Long
AU  - Jin, Hongyu
AU  - Abdelmegid, Mohammed Adel
AD  - PhD Candidate, Department of Civil and Environmental Engineering, University of Auckland, Auckland, New Zealand, aagr657@aucklanduni.ac.nz, orcid.org/0000-0001-8669-3255
AD  - Senior Lecturer, Department of Civil and Environmental Engineering, University of Auckland, Auckland, New Zealand, yang.zou@auckland.ac.nz, orcid.org/0000-0001-6150-6126
AD  - Lecturer, School of Architecture, Building and Civil Engineering, Loughborough University, Leicestershire, UK, L.Chen3@lboro.ac.uk, orcid.org/0000-0002-6771-752X
AD  - Lecturer, Department of Civil and Environmental Engineering, University of Auckland, Auckland, New Zealand, hongyu.jin@auckland.ac.nz, orcid.org/0000-0001-9316-6971
AD  - Lecturer, School of Civil Engineering, University of Leeds, Leeds, UK, M.Abdelmegid@leeds.ac.uk, orcid.org/0000-0001-6205-570X
AB  - Lookahead planning incorporates checking and removing operational constraints to develop achievable plans. The manual constraint-checking process is arduous because (1) Construction constraints are dynamic due to constantly changing project conditions, and (2) The information concerning constraints, e.g., attributes and status, are dispersed across heterogeneous databases. While semantic web technology has been used to automate constraint-checking and address these issues, space constraints, e.g., space needed for resource operation, have often been ignored. Cranes are crucial construction resources, necessitating checking of associated space constraints for developing constraint-free lookahead plans. Representing crane operational space requirements on the semantic web should be the first step for such checking. However, existing ontologies cannot do so. This study aims to develop a Crane Space Representation Ontology (CSRO) to represent different components of the operational space of a crawler crane with a lattice boom. Built using Ontology Development 101 methodology, CSRO includes four classes, 19 subclasses, nine object properties, and seven datatype properties, representing crane operational space with diverse geometries like bounding box, cylinder, and cone. Automated consistency checking and task-based evaluation confirm the CSRO's consistency and effectiveness in addressing the competency questions regarding various aspects of space requirements for crane operation.
KW  - Last Planner® System
KW  - Lookahead Planning
KW  - Constraint Analysis
KW  - Semantic Web
KW  - Crawler Crane.
PB  - 
T2  - Proceedings of the 32nd Annual Conference of the International Group for Lean Construction (IGLC 32)
DA  - 2024/07/01
CY  - Auckland, New Zealand
L1  - http://iglc.net/Papers/Details/2220/pdf
L2  - http://iglc.net/Papers/Details/2220
N1  - Export Date: 03 April 2025
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -