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用于建筑能源改造项目的室内多传感器采集系统。

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

作者信息

Armesto Julia, Sánchez-Villanueva Claudio, Patiño-Cambeiro Faustino, Patiño-Barbeito Faustino

机构信息

Mining Engineering School, University of Vigo, A Xunqueira, Pontevedra 36005, Spain.

Industrial Engineering School, University of Vigo, Rúa Maxwell, Vigo 36310, Spain.

出版信息

Sensors (Basel). 2016 May 28;16(6):785. doi: 10.3390/s16060785.

DOI:10.3390/s16060785
PMID:27240379
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4934211/
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.

摘要

建筑中的能源修复行动已成为建筑行业巨大的经济机遇。鉴于欧盟成员国对能源的依赖以及在气候变化方面的承诺,这也构成了欧盟的一项战略目标。欧盟约75%的现有建筑是在能效规范尚未制定时建造的。预计到2050年,这些现存建筑中约75%至90%仍将继续使用。在建筑能源评估的能源分析、模拟工具和计算流体动力学方面已取得重大进展。然而,预测与实际节能之间的差距仍有待改善。地理信息学和计算机科学学科确实有助于建模、检测和诊断程序。本文介绍了一种多传感器采集系统,该系统能够自动同时捕获三维几何信息、热成像、光学和全景图像、环境温度图、相对湿度图和光照水平图。该系统集成了基于同时定位与地图构建(SLAM)方法的导航系统,可将每个数据地理定位到其在建筑物中的位置。所描述的设备优化了能源检测和诊断步骤,并便于进行建筑的能源建模。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/0f05b2d88e1e/sensors-16-00785-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/572f051fdb56/sensors-16-00785-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/359ee456ce18/sensors-16-00785-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/b4713b9ed992/sensors-16-00785-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/89388540df54/sensors-16-00785-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/921407f87376/sensors-16-00785-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/1b72ec7fbfa6/sensors-16-00785-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/56fb88abc754/sensors-16-00785-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/d03f918061d5/sensors-16-00785-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/03af88689ff7/sensors-16-00785-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/0f05b2d88e1e/sensors-16-00785-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/572f051fdb56/sensors-16-00785-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/359ee456ce18/sensors-16-00785-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/b4713b9ed992/sensors-16-00785-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/89388540df54/sensors-16-00785-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/921407f87376/sensors-16-00785-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/1b72ec7fbfa6/sensors-16-00785-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/56fb88abc754/sensors-16-00785-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/d03f918061d5/sensors-16-00785-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/03af88689ff7/sensors-16-00785-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7457/4934211/0f05b2d88e1e/sensors-16-00785-g010.jpg

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