Hybrid Intelligence Applied to Split-Type Air Conditioner

• Main Authors: CHUANG, YU-MING, 莊育銘
• Other Authors: LEE, DA-SHENG
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/7b7tfz

碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系 === 107 === In recent years, with the growth of hardware performance, the computing power of computers has become more and more powerful, the storage of data has increase, and the advancement of communication technology has emerged with many corresponding technologies, such as supercomputers, big data, Internet of Things. The most remarkable technology is artificial intelligence. The vigorous development of these technologies has enabled many innovative ideas in the past to be realized, and it has brought people unlimited imagination. The advancement of technology has made peoples lives more convenient. Simultaneously, people are aware of energy conservation. In the housing the air-conditioning system used electricity has accounted for the extremely great proportion. In addition to improving the efficiency of hardware, it can also save power consumption and maintain quality of life through control. This paper proposes a hybrid intelligent control method for variable frequency split air conditioners, combining frequency control, Internet of Things, artificial intelligence, MQTT communication protocol, cloud computing and other technologies, and enhances the interac-tion between machines and users through AgilePoint integrated information. In the control system, the users feeling is introduced to replace the sensor, and the variable frequency split type air conditioner is realized to save power and maintain a certain quality of environmental comfort.The experimental results indicate that turn of the season between spring and summer, summer and fall in Taiwan can effectively save electricity and improve indoor temperature os-cillation, which is superior to the PID control strategy of traditional variable frequency split air conditioner.