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A methodology to assess the ambient temperature of a building using a limited number of sensors

机译：一种使用有限数量的传感器评估建筑物的环境温度的方法

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In France, the building sector is the main energy consumer. Moreover single-family houses represent about 60% of annual dwelling construction. Assessment of energy performance of occupied dwellings is therefore a very important task. The challenge is therefore to reduce the number of sensors, while keeping a sufficient robustness and precision of the information. In this paper we try to contribute to this field. The main idea is to use existing industrial sensors, and to limit their number with minimal loss of information. Experimental data are analyzed in order to quantify possible correlations between them. Strong correlation indicated that it is possible to reduce number of measurements. In the first part of the paper an experimental unoccupied house is analyzed. Then some measurements from real occupied dwelling are investigated. The results show a strong correlation between the air temperatures sensors in both cases. Here it is shown that the thermal behavior of rooms which are similar in terms of use, surface and orientation is correlated.
机译：在法国，建筑业是主要能源消费者。此外，单家族房屋占年度住宅建设的60％。因此，占领住宅的能源绩效评估是一项非常重要的任务。因此，挑战是减少传感器的数量，同时保持足够的鲁棒性和信息的精度。在本文中，我们试图为此领域做出贡献。主要思想是使用现有的工业传感器，并利用最小的信息损失来限制它们的数量。分析实验数据以便量化它们之间可能的相关性。强的相关性表明可以减少测量数量。在纸张的第一部分，分析了一个实验的未被占用的房屋。然后研究了真正占用住宅的一些测量。结果表明，在这两种情况下，空气温度传感器之间存在强烈的相关性。在这里，结果表明，在使用，表面和方向上类似的房间的热行为是相关的。

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