Abstract
The Architecture, Engineering & Construction (AEC) sector is a highly fragmented, data intensive, project based industry, involving a number of very different professions and organisations. Projects carried out within this sector involve collaboration between various people, using a variety of different systems. This, along with the industry’s strong data sharing and processing requirements, means that the management of building data is complex and challenging. This paper presents a solution to data sharing requirements of the AEC sector by utilising Cloud Computing. Our solution presents two key contributions, first a governance model for building data, based on extensive research and industry consultation. Second, a prototype implementation of this governance model, utilising the CometCloud autonomic Cloud Computing engine based on the Master/Worker paradigm. We have integrated our prototype with the 3D modelling software Google Sketchup. The approach and prototype presented has applicability in a number of other eScience related applications involving multi-disciplinary, collaborative working using Cloud Computing infrastructure.
Highlights
The Architecture, Engineering & Construction (AEC) sector is a highly fragmented, data intensive, project-based industry depending on a large number of very different professions and firms, with strong data sharing and processing requirements across the lifecycle of its products
In this paper we describe our experiences of utilising Cloud Computing and outline a governance model that could be supported for the storage and management of Building Information Models (BIM)
The CloudBIM query language defines six key commands: get, add, delete, update, adddoc and fetchdoc. These commands allow the manipulation of objects within the governance model, it should be noted that not all objects are able to be directly manipulated by users, some are created/updated as a side effect of other queries i.e. specifying the relationship of a new document will lead to the automatic creation of Relationship and Transaction objects as necessary by using data supplied in the adddoc command
Summary
The Architecture, Engineering & Construction (AEC) sector is a highly fragmented, data intensive, project-based industry depending on a large number of very different professions and firms, with strong data sharing and processing requirements across the lifecycle of its products (primarily buildings).
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