About the Research Project

SCI_BIM – Scanning and data acquisition for integrated resource and energy assessment using building information modelling

Buildings are not only energy consumers, but also future material stores. In view of the global increase in resource consumption and construction waste, existing buildings are becoming increasingly important as a source for urban mining. This requires precise knowledge of the geometric structure and material composition of existing buildings.

SCI_BIM combines innovative recording technologies with digital modelling processes to enable the resource and energy-related assessment of existing buildings in a data-based, efficient and user-integrated manner.

Why SCI_BIM?

  • Combination of laser scanning (for geometric recording) and georadar (for material data) for detailed inventory recording.
  • Development of a data-rich as-built BIM as a basis for material registers (MGP) and energy analysis models (BEM).
  • Use of a gamification approach for continuous updating and user participation.
  • Contribution to resource-efficient renovation and urban mining through precise digital inventory models.

Project description

The aim of SCI_BIM is to develop a proof of concept for the semi-automated creation and maintenance of an as-built BIM that integrates both geometric and material-related information. The focus is on:

  • Coupling laser scanning technology with georadar measurements,
  • Automated data processing for model generation,
  • Integration of user-generated information using gamification mechanisms,
  • long-term maintenance and use of the model for energy and resource analyses.

The models generated serve as a sound basis for decisions on renovations, demolition plans and the targeted recovery of building materials.

Vision

SCI_BIM stands for a new approach to digital inventory recording: technology-supported, participatory and resource-conscious. The project lays the foundation for a circular construction industry and energy-efficient renovation strategies by intelligently combining digital recording, modelling and user interaction – for a sustainable transformation of the building stock.

Highlights ⭐

Research Findings