Auto-generated site layout: an integrated approach to real-time sensing of temporary facilities in infrastructure projects

Akanmu, Abiola and Olatunji, Oluwole ORCID: https://orcid.org/0000-0002-9726-4218 and Love, Peter E. D. and Nguyen, Duy and Matthews, Jane (2015) Auto-generated site layout: an integrated approach to real-time sensing of temporary facilities in infrastructure projects. Structure and Infrastructure Engineering, 12 (10). pp. 1243-1255. ISSN 1573-2479


Abstract

The use of computational algorithms is popular in method studies, especially in the aspects of knowledge that relates to construction site layout modelling. However, extant approaches in these seldom support automated tracking of construction resources and available spaces. As a result, it is often time-consuming and subjective to autogenerate site layouts. This paper describes the development and implementation of a component-level system that is capable of generating site layouts automatically. The system involves the integration of building information models, genetic algorithm and a radio frequency identification system that has the capability to report object locations in real time. System and software architectures are presented to illustrate the enabling technologies, subsystems and software that are required to facilitate the developed system. A case study is also presented to demonstrate the functionality of the developed system. The practical implication of this research is such that the reported findings builds on gaps in previous scholarly work to develop a system that models site layouts and the associated costs automatically. Findings from the study also facilitate both early signalling of pending delays and their immediate recovery protocols.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 05 May 2022 02:34
Last Modified: 05 May 2022 02:34
Uncontrolled Keywords: Building information modelling; Genetic algorithm; Radio frequency identification; Real-time location-sensing system; Site layout modelling
Fields of Research (2020): 33 BUILT ENVIRONMENT AND DESIGN > 3302 Building > 330299 Building not elsewhere classified
33 BUILT ENVIRONMENT AND DESIGN > 3302 Building > 330207 Quantity surveying
33 BUILT ENVIRONMENT AND DESIGN > 3302 Building > 330203 Building industry studies
Socio-Economic Objectives (2020): 12 CONSTRUCTION > 1299 Other construction > 129999 Other construction not elsewhere classified
Identification Number or DOI: https://doi.org/10.1080/15732479.2015.1110601
URI: http://eprints.usq.edu.au/id/eprint/48070

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