Abstract:
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.
