Abstract
Indoor temperature is one of the fundamental features of the indoor environment. It can be controlled with distributed IoT sensors, through wireless networks. It affects human indoor environment such as human thermal sensation, productivity at work, buildings’ quality, and several syndrome symptoms. In this study, we focus on the effects of the indoor temperature on the human work productivity and thermal sensation. Our research aims to develop an IoT monitoring tool to manage the challenges in smart buildings by extracting and processing relevant data. It proposes data analysis periodically and integrates newly generated data into the analytical cycle that allows improving human indoor environment.
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CITATION STYLE
Traboulsi, S., & Knauth, S. (2022). Monitoring Tool for Improving Indoor Environment Quality and Performance Based on IoT Sensors: State of the Art and Concept. In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City: Research Findings of University of Applied Sciences Stuttgart (pp. 307–314). Springer International Publishing. https://doi.org/10.1007/978-3-030-92096-8_20
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