Abstract :
As recently as a result of the shortage of energy, the price of oil and raw material are rising, plus the long-term ecological destruction to the environment, the Earth carbonation growing phenomenon, and therefore reduce carbon emissions has become a hot topic. Usually the air conditioning system as long as to reach the set temperature, the compressor will be stopped, while the ambient temperature increases, and then starting operation of the compressor, thus resulting in waste of energy and the reduction in the short life of the compressor. Fuzzy controlling system based on fuzzy theory, is developed by using fuzzy sets to reduce the ambiguous classification that is not clear, and can naturally represent what people think, more robust to deal with the concept of fuzzy cognitive classification problems. In this study, a university in Taiwan built a site monitoring system and generates a lot of interesting data. Using data mining exploration in the fuzzy control technology of carbon dioxide, temperature and humidity on the consumption rate of the key factors in its exploration of the results can provide energy savings judgment basis. In this paper, we try to find the adjustment strategies of controlling the compressor based on different situations of temperature, humidity, and thereby reducing electricity consumption to achieve carbon reduction effect.
Keywords :
"Humidity","Temperature control","Temperature sensors","Data mining","Fuzzy control","Fuzzy logic"