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SBEnrc 2.51: Developing a Cross Sector Digital Asset Information Model Framework for Asset Management

Updated: Apr 6

Asset management in the built environment has been the subject of changing practice and research for years and is often complicated by inconsistency in measuring and monitoring the condition and performance of assets across the industry. This project, with an overarching approach across housing, buildings and transport infrastructure, seeks to develop a Digital Asset Information Delivery Manual to support the operation and maintenance of key assets. It will determine enabling information management technologies and develop a framework for capturing, structuring and exchanging asset information digitally, while taking into account its classification and practical uses. This will aid the wider adoption and consistent curation of digital information for maintaining and operating assets across the construction supply chain, improving the efficiency of managing community assets, improving the return on investment and ensuring sustainability, resilience and safety.


Objectives

  • For housing, buildings and transport infrastructure, determine primary asset information requirements for operations and maintenance, and identify the strength of commonalities across these sectors.

  • Determine the effectiveness of existing asset information classification and structuring systems in supporting the practical requirements of asset managers, and facilitating interoperability between software applications used during the design/construction and operation/maintenance phases of the asset lifecycle.

  • Explore the challenges for asset owners and managers when working with current asset management principles/standards, and develop solutions that enhance the value of asset information.

  • Map the decision making processes related to (i) asset procurement and (ii) operations and maintenance to identify best practice in asset information modelling.

  • Develop a proof-of-concept Digital Asset Information Delivery Manual and test this in a range of real life scenarios.



Partners:

  • Curtin University

  • QUT

  • Main Roads Western Australia

  • Aurecon

  • Queensland Government

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