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

机译:建筑节能改造项目的室内多传感器采集系统

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摘要

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.
机译:建筑物中的能源修复行动已成为建筑行业的巨大经济机会。考虑到其成员国对能源的依赖和对气候变化的妥协,它们也构成了欧盟(EU)的战略目标。在未制定能效法规的情况下,欧盟约有75%的现有建筑物已建成。预计到2050年,这些立式建筑物中约有75%至90%将继续使用。在能源分析,模拟工具和用于建筑物能源评估的计算机流体动力学方面已经取得了重大进展。但是,预测与实际节省之间的差距可能仍会得到改善。地理学和计算机科学学科可以真正帮助建模,检查和诊断过程。本文提出了一种多传感器采集系统,该系统能够自动并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和地图绘制(SLAM)方法的导航系统,该方法允许对每个数据进行地理配准以使其在建筑物中处于其位置。所描述的设备优化了能源检查和诊断步骤,并促进了建筑物的能源建模。

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