Indoor Multi-Sensor Acquisition System for Projects on Energy Renovation of Buildings

• Published in: Sensors (Basel, Switzerland) Switzerland), 2016-05, Vol.16 (6), p.785-785
• Main Authors: Armesto, Julia, Sánchez-Villanueva, Claudio, Patiño-Cambeiro, Faustino, Patiño-Barbeito, Faustino
• Format: Article
• Language: English
• Subjects: Acquisitions; Building construction; building rehabilitation; Climate change; Computer simulation; Construction industry; Cost control; Cultural heritage; Diagnosis; Energy consumption; energy efficiency; Engineering schools; Global positioning systems; GPS; indoor mapping; Industrial engineering; Inspection; Lasers; Mapping; Marketing; Mathematical models; Modelling; Relative humidity; Scanners; Sensors; Simulation; SLAM
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s16060785

Energy rehabilitation actions in buildings have become a great economic opportunity for the construction sector. They also constitute a strategic goal in the European Union (EU), given the energy dependence and the compromises with climate change of its member states. About 75% of existing buildings in the EU were built when energy efficiency codes had not been developed. Approximately 75% to 90% of those standing buildings are expected to remain in use in 2050. Significant advances have been achieved in energy analysis, simulation tools, and computer fluid dynamics for building energy evaluation. However, the gap between predictions and real savings might still be improved. Geomatics and computer science disciplines can really help in modelling, inspection, and diagnosis procedures. This paper presents a multi-sensor acquisition system capable of automatically and simultaneously capturing the three-dimensional geometric information, thermographic, optical, and panoramic images, ambient temperature map, relative humidity map, and light level map. The system integrates a navigation system based on a Simultaneous Localization and Mapping (SLAM) approach that allows georeferencing every data to its position in the building. The described equipment optimizes the energy inspection and diagnosis steps and facilitates the energy modelling of the building.