An Internet of Things based approach to thermal comfort measurement and monitoring

Thermal comfort is one of the important climatic factors that conditions human living hood. The existing primary methods of thermal comfort measurement are inadequate to monitor the comfort level of human body through computer networks, especially internet like infrastructure. In this paper, an Internet of Things based thermal comfort measurement and monitoring technique is proposed. Missenard indexing has been implemented for measuring thermal comfort by IoT cloud assisted architecture. Real-time graphical visualizations of thermal comfort are obtained from Plotly and ThingSpeak cloud platforms. Serial data output is also generated while performing the experiment.