In the use of air conditioning system, way to reach a more comfortable and energy-saving effect is the goal pursued constantly by people in the 21th century. In this paper, we will build an experimental environment, and stored the temperature and humidity coefficient, which are measured through each sensor in the surrounding environment, in the database. Apart from traditional single-point temperature sensitivity, we build multi-point of Zigbee sensing to measure the data of temperature and humidity in the surrounding environment, and to increase comfort and to decrease unnecessary energy waste. In recent years, fuzzy theory has been widely used in auto control, image recognition, decision making analysis, timing sequence signal processing; especially in controller design, fuzzy theory gradually become the best way to design the controller. Thus, use fuzzy theory to control air conditioning system is helpful for achieving more comfortable environment. Using fuzzy rule to calculate the membership grade, and control air conditioning system according to the most suitable operation speed of the environment. Thus, in this research, using multi-point sensing network and fuzzy theory and to control air conditioning system effectively achieve a more comfort environment and a energy-saving effect.
['Tzu-Ming Wang', 'Po-Chun Lin', 'Hung- Lin Chan', 'Jen-Chi Liao', 'Tian‐Wen Sun', 'Tin-Yu Wu']
Energy Saving of Air Condition Using Fuzzy Control System over Zigbee Temperature Sensor