| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系所 === 96 === Control technologies could not only make the daily life convenient, but also harmonize the interaction between users and the environment. In recent years, the price of energy resources has been soaring, but the demand for energy is ever increasing. Therefore, to reduce energy consumption and make machines more intelligent is an important and prospective research direction. This thesis establishes a daylight monitoring platform to monitor and optimize indoor daylight distribution. The hardware of the daylight monitoring platform consists of wireless light sensor network and motored blinds. It controls the blinds` states through a computer, peripheral modules and controllers and collects daylight data by wireless light sensors. The software of this platform is written in JAVA. The software functions include setting, sensing and recording the blind lay-down length and the blind tilt angle, monitoring and recording the daylight data. This thesis proposes a daylight prediction and optimization configuration. It uses the collected daylight data for establishing a regression model for daylight sensor reading and the blind state. This configuration also uses outdoor daylight condition and the regression model for estimating indoor daylight response. Finally, it calls MATLAB optimization function by the JAVA program for computing the optimal blind state, and controls the blind to the optimal state. After that, the algorithm feedback controls illumination of the sensing point in the room by adjusting blinds` state. The sensor feedback control results are recorded for assessing optimization results.
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