EcoTwin

Projects Overview

EcoTwin is a digital twin platform designed for advanced building analysis, combining LiDAR-based 3D scans with thermographic data. The solution enables precise identification of heat loss, thermal bridges, and structural inefficiencies by overlaying thermal imagery directly onto an interactive 3D building model. EcoTwin targets professionals involved in energy audits, building diagnostics, and sustainability-driven renovations.

Our Staff’s Role in the Project

Our staff was responsible for designing and implementing the core technical foundations of the platform, with a strong focus on 3D data processing, visualization, and analytical accuracy. Our contribution included:

• Implementing LiDAR data import mechanisms for 3D building scans in .ply format.
• Developing functionality for importing thermographic images captured with thermal cameras.
• Designing and implementing manual alignment tools for mapping thermal images onto 3D building models.
• Building an interactive 3D visualization engine with full 360° manipulation (rotate, zoom, inspect).
• Implementing scale verification tools, allowing distance measurements between points in 3D space.
• Developing backend logic for automated mathematical calculations based on building geometry.
• Ensuring accuracy of dimensions, proportions, and derived coefficients used in further analysis.

Key Features of the App:

• LiDAR 3D Model Import – support for .ply files generated from building scans
• Thermal Image Import – integration of thermographic data for energy analysis
• Manual Thermal Overlay – precise alignment of thermal imagery with 3D geometry
• Interactive 3D Visualization – full spatial control over the building model
• Scale & Distance Verification – measurement of real-world distances directly in 3D
• Automated Geometry Calculations – dimensions, proportions, and coefficients computed from the model
• Energy Loss Analysis Foundation – accurate identification of thermal bridges and heat loss areas

EcoTwin provides a robust technological foundation for modern building diagnostics, combining spatial accuracy with thermal data to support data-driven decisions in energy efficiency and sustainability projects.