Temperature control approach in intelligent office environment
WANG Hai-zhen1*,LIAN Zuo-zheng2,TENG Yan-ping1
1.School of Computer and Control Engineering,Qiqihar University,Qiqihar Heilongjiang 161006,China;
2.Computer Center,Qiqihar University,Qiqihar Heilongjiang 161006,China
Abstract：The parameters of inverter air-conditioner are fixed, which cannot adapt to changed intelligent office environment. This paper proposed a new air-conditioner control approach in order to improve the comfort of the ambient temperature. Multi-Agent technology was introduced, and input and output variables and their fuzzy sets were given, and then the fuzzy Q-learning algorithm introduced rewards was proposed, which was executed by reasoning Agent to learn manually adjusting the air-conditioner action, and modify the fuzzy rules, so the fuzzy rules were optimized. Finally the optimization fuzzy rules were applied to control ambient temperature. The experimental result shows that the response time and overshoot of the air-conditioner are less than the conventional fuzzy temperature control approach.
王海珍 廉佐政 滕艳平. 智能办公环境温度控制方法[J]. 计算机应用, 2012, 32(09): 2545-2547.
WANG Hai-zhen LIAN Zuo-zheng TENG Yan-ping. Temperature control approach in intelligent office environment. Journal of Computer Applications, 2012, 32(09): 2545-2547.
ACAMPORA G,LOIA V.Fuzzy control interoperability and scalability for adaptive domotic framework[J].IEEE Transactions on Industrial Informatics,2005,1(2):97-111.
2012, Vol. 32 
