The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVI-5/W1-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-5/W1-2022, 135–139, 2022
https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-135-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-5/W1-2022, 135–139, 2022
https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-135-2022

  03 Feb 2022

03 Feb 2022

BIM AND GIS DATA INTEGRATION FOR THE EVALUATION OF BUILDING PERFORMANCE

N. Kadhim N. Kadhim
  • Department of Civil Engineering, Diyala University, Baqubah, Diyala, Iraq

Keywords: Building Performance, Post-Occupancy, CAD, BIM, ArcGIS, Structural Integrity, Spatial Analysis

Abstract. Building performance and condition assessment necessitate the integration of a variety of data sources, including building features, element/system properties, and supporting documentation. Previous research has concentrated on locating these data and establishing a building performance analytical framework using various techniques. However, due to challenges with traditional methods in monitoring the performance of a building within the default life of its construction, the maintenance procedure takes time and effort. This issue reflects the widespread omission of the appearance and progression of structural and non-structural faults in buildings, as well as a lack of methods for radical and speedy treatment. To overcome this issue, this research proposes a technique for integrating BIM and GIS data for building performance assessment. This will enable better-informed judgments about how to accelerate and optimise in-service asset operations and maintenance. The findings are also important for the advancement of GIS and BIM linked structural integrity evaluation solutions in the future. There are some important conclusions to be derived, as well as some possible future research subjects.