IOT Analysis and Management System for Improving Work Performance with an IOT Open Software in Smart Buildings

Abstract

With the aim of investigating the effect of climate on the heating in buildings and human productivity, the data of thermal sensors distributed at rooms and buildings level were sent to an implemented analytic management system. This latter integrated an Internet of Things (IoT) open-source software. As part of the smart buildings project, the challenge here is to analyze the aggregated data. Therefore, statistical methods were applied to study the relationship between climate and environmental parameters of the HFT University buildings in the city Stuttgart (Germany) during 2016. Moreover, we studied the effect of indoor temperature on the thermal sensation at the same location. To optimize the result, this study was limited to workdays and cold seasons.