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In cold weather, masonry construction requires specific precautions to ensure mortar does not freeze before curing, as this can significantly weaken its strength and watertightness. Mortar temperature should be maintained between 60°F and 80°F to support proper hydration and curing. Below 40°F, mortar water must be heated, but should not exceed 120°F as high temperatures can reduce mortar's compressive and bond strength.
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Thermal Bridges on Building Rooftops.

Zoe Mayer1, James Kahn2,3, Markus Götz4,5

  • 1Karlsruhe Institute of Technology, Institute for Industrial Production, 76187, Karlsruhe, Germany. zoe.mayer@partner.kit.edu.

Scientific Data
|May 10, 2023
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Summary
This summary is machine-generated.

The Thermal Bridges on Building Rooftops (TBBR) dataset offers multi-channel remote sensing data for UAV thermal imaging. This publicly available dataset aids research in detecting thermal anomalies on rooftops.

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Area of Science:

  • Remote Sensing
  • Computer Vision
  • Building Science

Background:

  • Thermal bridges on rooftops contribute to building energy loss.
  • Accurate identification of thermal bridges is crucial for energy efficiency assessments.
  • Existing datasets may lack the multi-channel and annotation detail required for advanced analysis.

Purpose of the Study:

  • Introduce and describe the Thermal Bridges on Building Rooftops (TBBR) dataset.
  • Provide a comprehensive resource for training and evaluating object detection and instance segmentation models.
  • Facilitate broader community uptake and research in remote sensing for building thermal analysis.

Main Methods:

  • Acquired multi-channel imagery (RGB, thermal, height map) using UAVs over Karlsruhe, Germany.
  • Collected 926 high-resolution images with 6927 manual thermal bridge annotations.
  • Organized data according to FAIR principles for accessibility and reusability.

Main Results:

  • The TBBR dataset contains 926 images with 6927 annotations across five channels.
  • Data is pre-split into training and testing sets, suitable for object detection and instance segmentation.
  • The dataset is publicly accessible via the Zenodo data repository.

Conclusions:

  • The TBBR dataset is a valuable, FAIR-compliant resource for the remote sensing and computer vision communities.
  • It enables advanced research into automated detection of thermal bridges on building rooftops.
  • Facilitates improved building energy efficiency analysis through enhanced data availability.