Internet of Things Based Indoor Cooling System Using Measurement of Human Body Temperature

Abstract

IOT can increase process efficiency while reducing operating costs through smart and intelligent system as well as reducing asset utilization, i.e. energy. Given the current shortage of energy resources and their use proportional exponent, then there must be a way of ``smart{''} to optimize its cost. Air conditioning system for example, requires a smart cooling that can give optimum comfort to the user but at the same time save energy costs. Adjusting a room air conditioner by considering human's temperature and their comfort level is more energy efficient. This is due to the level of comfort and individual body temperature are different from each other. Surrounding temperature either hot or cold perhaps will not give the same effect to individuals, thus a prototype that can control air condition based on human body temperature and room temperature is developed. This prototype is to control the air conditioning based on the human body temperature as well as surrounding temperature. This prototype using a programmable Digital Thermometer which capable to measure room temperature and human body temperature. Reading from each individuals and surrounding will be recorded, calculated and average value will be taken in order to control the room air conditioner without the need for users to adjust manually. This prototype development can improve the efficiency of energy use towards green environment.