A framework and common data environment for the development and management of asset information models

Student thesis: Doctoral Thesis

Abstract

Accurate and valid data is essential for the management of buildings throughout their lifecycle. The development of the Building Information Modelling (BIM) methodology and associated technologies and standards presents a unique opportunity to capture Building Owner and Facilities Management (FM) asset data requirements in a structured manner from the early stages of project development. However, an integrated approach is still needed to enable their use in the development of Asset Information Models (AIMs) - data models that contain all digital data (graphical, non-graphical, and documentary) required to operate an asset or portfolio of assets.
This research combines the Design Science Research Methodology (DSRM) and Grounded Theory Method (GTM) in the design of a framework and Common Data Environment (CDE) to support the development and management of AIMs. The framework defines processes for the: (a) structured definition of requirements for FM and maintenance tasks; (b) validation of project data deliverables against the established requirements; and (c) development, management, and visualisation of building asset data. The framework combines the use of Information Delivery Manual (IDM), Industry Foundation Classes (IFC), Construction Operations Building information exchange (COBie), and Content Management Interoperability Services (CMIS) in the development of AIMs to fulfil the owner’s Asset Information Requirements. A bespoke CDE based on the Service Oriented Architecture (SOA) is proposed for the management, integration and visualisation of AIM data.
The proposed framework was successfully demonstrated in a selection of pilot studies through the implementation of a bespoke prototype CDE. The pilot studies demonstrated the framework’s processes in the development and visualisation of AIMs, focusing on preventive and reactive maintenance tasks. The application of the GTM for data collection and analysis resulted in a comprehensive list of requirements for the development and management of AIMs, which were used to validate the proposed framework and CDE’s capabilities. Results from the validation show that the key capabilities of the proposed framework and CDE have been achieved. The prototype CDE demonstrated the integration of the various asset data sources in the development and management of AIMs. The visualisation of the AIM data - from different and distributed sources - for maintenance tasks was successfully performed in an interactive virtual environment. The demonstration and validation activities provide key inputs for a future evaluation of the research in practice. Additional requirements for the development and management of AIMs were identified during the validation sessions, which should be considered in future work related to this research.
Date of AwardAug 2019
Original languageEnglish
Awarding Institution
  • Teesside University
SupervisorNashwan Dawood (Supervisor) & Mohamad Kassem (Supervisor)

Cite this

'