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Sensors 2016, 16(6), 785; doi:10.3390/s16060785

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

1
Mining Engineering School, University of Vigo, A Xunqueira, Pontevedra 36005, Spain
2
Industrial Engineering School, University of Vigo, Rúa Maxwell, Vigo 36310, Spain
3
Industrial Engineering School, University of Vigo, Rúa Conde de Torrecedeira 86, Vigo 36208, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 14 April 2016 / Revised: 23 May 2016 / Accepted: 24 May 2016 / Published: 28 May 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [4525 KB, uploaded 28 May 2016]   |  

Abstract

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. View Full-Text
Keywords: building rehabilitation; energy efficiency; indoor mapping; SLAM building rehabilitation; energy efficiency; indoor mapping; SLAM
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Armesto, J.; Sánchez-Villanueva, C.; Patiño-Cambeiro, F.; Patiño-Barbeito, F. Indoor Multi-Sensor Acquisition System for Projects on Energy Renovation of Buildings. Sensors 2016, 16, 785.

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