Proposal of a framework for data acquisition for Digital Twin of building façade


Kaya M., Bettemir Ö. H.

4th International Civil Engineering & Architecture Conference, Trabzon, Türkiye, 17 - 19 Mayıs 2025, ss.1773-1783, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.31462/icearc2025_ce_mng_773
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1773-1783
  • İnönü Üniversitesi Adresli: Evet

Özet

 The construction sector is one of the cornerstones of developing economies and it has great importance for economic development. However, traditional construction methods pose serious limitations in terms of efficiency and quality. Therefore, the sector needs to be aligned with technological advances in order to increase efficiencies of construction and management processes. These developments provide benefits to the sector in terms of minimizing personnel mistakes, while increasing construction speed and ensures occupational safety. Technological developments also assisted process monitoring and detection of unanticipated mistakes. Earthquakes are important events that affect the structural integrity as well as proper functioning of roof and building façade which interferes with the energy consumption dynamics of buildings. Even if the building is in service after the earthquake, failures of infrastructure system such as heating, electricity, water and communication networks may occur. In addition windows, doors and roofs, especially those in contact with the building façade, are likely to be affected by the earthquake, worsening thermal insulation and increasing heat losses. Therefore, it is necessary to inspect such buildings at frequent intervals. In this study, a framework system including an autonomous ground vehicle algorithms and software that performs non-destructive testing and collects data on the building exterior is proposed to reduce building inspection costs and guarantee the integrity and accuracy of the collected data. The vehicle will be capable of navigating autonomously around the building with a maze algorithm based algorithm and maps the building exterior. The vehicle will be equipped with an optical camera, thermal camera, ultrasonic distance sensors, servo motors for vertical and horizontal scanning from different angles, 2D laser scanner, 9 dof IMU and GPS receiver and Radio Frequency transmitter for real-time data sharing. At night, exterior of the building will be monitored with thermal camera at regular intervals so that early detection of possible heat losses and installation failures will be possible. The developed system will detect the condition of the building infrastructures in a short time with minimum human labor and will accelerate the necessary measures to ensure the effective operation of the heating systems, thus energy will be used effectively.