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Towards best practice in building analysis data representation

Matthew Pilgrim (Centre for Innovative Construction Engineering, Loughborough University)
Dino Bouchlaghem (Centre for Innovative Construction Engineering, Loughborough University)
Dennis Loveday (Department of Civil and Building Engineering, Loughborough University)
Michael Holmes (Arup Research & Development, London)

Construction Innovation

ISSN: 1471-4175

Article publication date: 1 June 2002

1742

Abstract

Construction is by its nature a data‐rich domain. It is also a competitive market with historically low profit margins. One step towards improving design efficiency is to develop techniques to examine and interpret construction related data. To achieve any significant improvement it is necessary to focus on a given sub‐domain of engineering data. This paper focuses on analysis data, in particular building performance analysis data. This data, generated by performing an analysis of a building or its elements, may be used more efficiently and effectively by improving its visual representation. This is illustrated in this paper by three applications developed to improve the representation of specific building analysis datasets. Each exemplifies a structured and innovative approach to the development of applications used to enable engineers to dedicate more resources to understanding the results of their analyses.

Keywords

Citation

Pilgrim, M., Bouchlaghem, D., Loveday, D. and Holmes, M. (2002), "Towards best practice in building analysis data representation", Construction Innovation, Vol. 2 No. 2, pp. 117-130. https://doi.org/10.1108/14714170210814711

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited

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