Light Environment Intelligent Control System Research Based On User Behavior

With the urbanization of modern society being accelerating, the office environment is playing an important role in more people's life. In recent years, continuing researches on the office environment indicate that office environment has an important influence on the workers. It has many benefits of improving the workers'intelligence productivity and comfort, and obtaining high efficiency to improve the office environment. Indoor light environment which is one important part of the office environment, not only affects the productivity of workers as an important factor, but also has an effect on people's mood, emotions, satisfaction and well-being. Under different tasks, the workers have different demand for the light environment. Thus, it has important research significance and application prospects to adopt distributed wireless monitoring network to achieve the discriminant of office individual's concrete behavior characteristics by multi-sensor fusion, and to realize intelligent lighting control based on the behavior characteristics.An office light environment intelligent control system is proposed in this thesis, which integrates multi-sensor monitoring, wireless communication, data fusion and identification, and fuzzy-PI control. Starting from humanistic demand and making full use of the advantages of LED and intelligent control, the system is to achieve light environment intelligent control driven by user behavior characteristics. The main contents of this thesis are as follows:First, the classification of the personal behavior characteristics in office space is finished. Based on the research of the domestic and international lighting design standards or specifications, and by synthesizing the experimental results and suggestions of visual evaluation on office light environment, the office lighting environment preset schemes aiming at the behavior characteristics are put forward.Second, this thesis designs the multi-parameter sensor module with wireless network interface and completes the construction of the wireless monitoring network foundation platform. In order to facilitate the collection of personal behavior characteristics data in office space, the multi-sensor detection parameters are analyzed. By combining with the requirements of the indoor light environment monitoring and adjustment, and wireless sensor network technology is combined with optical detection and light source drive technology effectively, so as to realize distributed real-time monitoring of office light environment.Third, the office light environment intelligent control system is established. With using artificial neural network to implement the identification of user behavior characteristics, the goal setting of office light environment is achieved by fuzzy-PI control, and also the simulation results and corresponding analysis are given.