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

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...

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Bibliographic Details
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
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s16060785