IoT based human comfort index monitoring system / Nur Syahirah Aqilah Samsul Bahri

• Main Author: Samsul Bahri, Nur Syahirah Aqilah
• Format: Thesis
• Language: English
• Published: 2019
• Subjects: Application software; Detectors. Sensors. Sensor networks
• Online Access: https://ir.uitm.edu.my/id/eprint/109075/1/109075.pdf; https://ir.uitm.edu.my/id/eprint/109075/

This study explored the features of Internet of Things (IoT) in addressing the problem of a comfort in living spaces also monitoring and maintaining the condition of a small living spaces such as small office room, small reading room or a single bedroom. Sometimes the room is too cold or maybe the light is too bright that it can disturb the individual daily activities especially during at work. This could slow down the productivity of a human performance making it hard for the person to give a full concentration in fulfilling their task. This thesis purpose is to design and develop prototype a human comfort automation system so that it can provide a comfortable and a healthy place for people to live in. This project will use a few sensors which these sensors will calculate the values of light level (lux), temperature (°C), humidity (%), pressure (hPa) and altitude (m). All the values from the sensors will then be taken to perform some calculations to get the actual Thermal Comfort and Visual comfort values. And from these comfort values, the main values which is the Human Comfort Index can be determine. The result from this study can be applied and used in any occupied building spaces in order to achieve a pleasant and comfy environment.