Determination and measurement of parameters affecting indoor comfort

J. Pintér, Márton L. Kiss
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引用次数: 3

Abstract

There have been numerous publications about how to make smart homes to energy efficient, but few have been born where comfort is the focus. In our article, we determine the parameters and their effects that influence our sense of comfort and present the tools and measurement configurations that can be used to examine these parameters. During this analysis, we are attempting to create a referral system that, during learning, recognizes the habits of the inhabitants of the house and controls the automation system in order to maintain the optimal values. Various procedures are considered for implementing the recommendation system.
影响室内舒适的参数的测定和测量
有很多关于如何使智能家居节能的出版物,但很少有以舒适为重点的出版物。在本文中,我们将确定影响舒适度的参数及其效果,并介绍可用于检查这些参数的工具和测量配置。在分析过程中,我们试图创建一个推荐系统,该系统在学习过程中识别房屋居民的习惯并控制自动化系统,以保持最佳值。为实施推荐制度,考虑了各种程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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