• Knowledge-assisted BIM-based v...

Treffer: Knowledge-assisted BIM-based visual analytics for failure root cause detection in facilities management

Title:
Knowledge-assisted BIM-based visual analytics for failure root cause detection in facilities management
Authors:
MOTAMEDI, Ali, HAMMAD, Amin, ASEN, Yoosef
Source:
Automation in construction. 43:73-83
Publisher Information:
Kidlington: Elsevier, 2014.
Publication Year:
2014
Physical Description:
print, 37 ref
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Civil engineering, Génie civil, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Batiment. Travaux publics, Buildings. Public works, Calcul des constructions. Sollicitations, Structural analysis. Stresses, Méthodes de calcul. Tables. Abaques, Computation methods. Tables. Charts, Durabilité. Pathologie. Réparation. Entretien, Durability. Pathology. Repairing. Maintenance, Délabrement des constructions (fissures, altérations physiques, etc.), Building failures (cracks, physical changes, etc.), Bâtiment, Buildings, Equipements techniques des bâtiments, Building technical equipments, Divers, Miscellaneous, Arbre défaut, Fault tree, Arbol defecto, Bâtiment, Buildings, Edificio, Connaissance, Knowledge, Conocimiento, Cycle vie (environnement), Life cycle (environment), Ciclo vida (medio ambiente), Détection panne, Failure detection, Detección falla, Equipement bâtiment, Building equipment, Equipo edificio, Etude cas, Case study, Estudio caso, Gestion, Management, Gestión, Maintenance, Mantenimiento, Modélisation, Modeling, Modelización, Méthode analytique, Analytical method, Método analítico, Outil logiciel, Software tool, Herramienta software, Prototype, Prototipo, Scénario, Script, Argumento, Visualisation, Visualization, Visualización, Modélisation des données du bâtiment, Building information modeling, Modelado de información de construcción, BIM, Facilities management, Fault tree analysis, Maintenance management, Visual analytics
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Individualized Program (INDI), Concordia University, 2145 Mackay Street, 5204, Montreal, Quebec H3G 2J2, Canada
Concordia Institute for Information Systems Engineering Concordia University, 1515 Ste-Catherine Street West, EV7.643, Montreal, Quebec H3C2W1, Canada
Building, Civil and Environmental Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, EV-6.139, Montreal, Quebec H3G 1M8, Canada
ISSN:
0926-5805
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28547462
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Building. Public works. Transport. Civil engineering
Accession Number:
edscal.28547462
Database:
PASCAL Archive

Weitere Informationen

Facilities managers need to identify failure cause-effect patterns in order to prepare corrective and preventive maintenance plans. This task is difficult because of the complex interaction and interdependencies between different building components. Standardization based on Building Information Modeling (BIM) provides new opportunities to improve the efficiency of facilities management (FM) operations by sharing and exchanging building information between different applications throughout the lifecycle of the facilities. This paper aims to utilize BIM visualization capabilities to provide FM technicians with visualizations that allow them to utilize their cognitive and perceptual reasoning for problem solving. It investigates a knowledge-assisted BIM-based visual analytics approach for failure root-cause detection in FM. For this purpose, the inspection and maintenance data of Computerized Maintenance Management System (CMMS) are integrated with a BIM. Moreover, various sources of building knowledge such as fault trees and relationships between components are formally represented. These resources are used to create custom visualizations through an interactive user interface which helps in exploiting the heuristic problem solving ability of field experts to find root causes of failures in a building.