智能灯光控制系统的研究与设计
[Abstract]:With the development of modern industry, the demand for energy is increasing, and non-renewable resources are gradually exhausted. However, in daily life, the phenomenon of waste and use of electric energy is very serious. The traditional lighting system can not automatically adjust the lighting brightness according to the surrounding environment or turn it off when no one is there, which leads to a serious waste of electric energy, which further increases the energy burden. In order to solve the difference of traditional lighting system, this paper designs and implements an intelligent lighting control system, which includes hardware design and software development. The purpose of this system is to analyze the intelligent technology system and apply the intelligent technology design to the lighting control system. Intelligent lighting control is realized. The overall framework of the system includes control system, monitoring system and data processing model. The control system also includes the main control system and several subsystems. The control system realizes the remote control of the lighting in the building through the control panel, and each subsystem realizes the self-control of the building light with the use of its internal hardware. The monitoring system and the data processing module combine the network communication technology and the database technology to complete the real-time monitoring and recording of the lighting data in the building, and a kind of intelligent lighting control system with low, stable and practical performance is constructed. The system has been tested by software and hardware, which shows that the system is stable and reliable, and can ensure the software and hardware to run steadily for a long time. The system has the advantages of simple networking, strong expansibility, convenient upgrading of traditional lighting system, wireless control and remote monitoring of various lighting working states, and has certain practical value.
【学位授予单位】:西南科技大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TP273
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