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A proposal for the integration of information requirements within infrastructure digital construction

Goonetillake, Jaliya, Lark, Robert and Li, Haijiang 2018. A proposal for the integration of information requirements within infrastructure digital construction. Presented at: EG-ICE 2018: 25th EG-ICE International Workshop, Lausanne, Switzerland, 10-13 June 2018. Published in: Smith, Ian F. and Domer, Bernd eds. Advanced Computing Strategies for Engineering: 25th EG-ICE International Workshop 2018, Lausanne, Switzerland, June 10-13, 2018, Proceedings, Part II. Lecture Notes in Computer Science Springer, pp. 378-390. 10.1007/978-3-319-91638-5_21

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Abstract

There has been rapid development and adoption of the digital construction process globally, and this has led to the production of vast volumes of asset information. Following the implementation of the process on an highways project in the United Kingdom, it was observed that the current BIM process could potentially lead to an overload of information which could diminish the value of implementing the process. It was also observed that some of the asset information could be of great value, but had not been specified in the information requirements. To address these issues, a programme of research is proposed which will be broken down into three main stages. These will include a review of the implementation of the process on an existing infrastructure project, the establishment of a formalized approach to establish these requirements through discussions with industry experts, and the development of a framework which will facilitate the extraction of information that brings the most value to the user. This paper presents the first of these stages, and then introduces the approaches that will be taken to address the next two stages to create the framework for the generation of valued information requirements.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Engineering
Publisher: Springer
ISSN: 0302-9743
Last Modified: 31 Jul 2018 22:00
URI: http://orca.cf.ac.uk/id/eprint/112199

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