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Voxel-Based Analysis of Long-Term Monitored Bio-Based Building Elements

  • Martin Tamke,
  • Shahriar Akbari,
  • Mette Ramsgaard Thomsen

摘要

This paper introduces an innovative method for tracking and analysing the three-dimensional behaviour of materials outdoors, focusing on bio-based building elements. The constraints of current methods limit monitoring material changes over time to 2D snapshots of an initial and final state. We propose a system utilizing low-cost components like depth cameras and IoT sensors that allow for frequent 3D scans over long periods and overcome challenges such as weather conditions and IR interference. Our method includes a novel automated analysis system, which converts 3D scan data into voxel models for comprehensive evaluation. Our analysis can include different parts of the tracked properties, such as colour, depth and position, which allows us in this way to track changes on overall, region, and feature levels. This approach opens avenues for better understanding material behaviour and its implications for future design, construction and maintenance practices.