Using building information model data for generating and updating diagnostic models

  • G. Provan
  • , J. Ploennigs
  • , M. Boubekeur
  • , A. Mady
  • , A. Ahmed

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

We show how to use a Building Information Model (BIM) to structure fault detection and diagnostics (FDD) models for building applications, and also how BIM data can be used for learning model parameters for updating the FDD parameters following building commissioning. We propose an approach for generating FDD rules using a generic meta-model together with the data defined in a BIM or Building Management System design database. Our meta-model is a detailed model that identifies a key set of properties of a system, e.g., connectivity and functionality of the devices that comprise the system. We then show how we can tune the parameters of such FDD rules using data from a building simulation model, or from actual building data collected in a data warehouse. We illustrate our approach using a lighting systems model within an intelligent building application.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing
Publication statusPublished - 2009
Event12th International Conference on Civil, Structural and Environmental Engineering Computing, CC 2009 - Funchal, Madeira, Portugal
Duration: 1 Sep 20094 Sep 2009

Publication series

NameProceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing

Conference

Conference12th International Conference on Civil, Structural and Environmental Engineering Computing, CC 2009
Country/TerritoryPortugal
CityFunchal, Madeira
Period1/09/094/09/09

Keywords

  • Building information model
  • Fault detection and diagnostics
  • Parameter estimation

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