Graph theory based representation of building information models for access control applications

Skandhakumar, Nimalaprakasan, Salim, Farzad, Drogemuller, Robin, Reid, Jason F., & Dawson, Edward (2016) Graph theory based representation of building information models for access control applications. Automation in Construction, 68, pp. 44-51.

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Abstract

Building information models are increasingly being utilised for facility management of large facilities such as critical infrastructures. In such environments, it is valuable to utilise the vast amount of data contained within the building information models to improve access control administration. The use of building information models in access control scenarios can provide 3D visualisation of buildings as well as many other advantages such as automation of essential tasks including path finding, consistency detection, and accessibility verification. However, there is no mathematical model for building information models that can be used to describe and compute these functions. In this paper, we show how graph theory can be utilised as a representation language of building information models and the proposed security related functions. This graph-theoretic representation allows for mathematically representing building information models and performing computations using these functions.

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ID Code: 76555
Item Type: Journal Article
Refereed: Yes
Keywords: Graph Theory, Building Information Modelling, Access Control, Authorisation, Security, Facility Management, Industry Foundation Classes
DOI: 10.1016/j.autcon.2016.04.001
ISSN: 0926-5805
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer System Security (080303)
Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Building not elsewhere classified (120299)
Divisions: Current > Schools > School of Design
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Creative Industries Faculty
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2016 Elsevier
Copyright Statement: Licensed under the Creative Commons Attribution; Non-Commercial; No-Derivatives 4.0 International. DOI: 10.1016/j.autcon.2016.04.001
Deposited On: 07 Oct 2014 22:19
Last Modified: 24 Nov 2016 19:36

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