The Research Of The Library Lighting Intelligent Control Based On KNX Bus

With the rapid development of China's construction industry, building lighting energy issue has been more and more people pay attention. Currently many lighting systems control the lighting system can not be accurately managed, resulting in open fixtures for a long time and shorten the life of the light source, resulting in a waste of energy and human resources, operating costs increased. Based on this, a library with a lighting system for the study, by contrast with the traditional lighting systems, proposed the use of intelligent lighting control system solutions, and try to apply fuzzy neural network in the system, for the development of intelligent lighting control system products, provides some methods and theoretical reference.Firstly, for the meaning and context of the research were presented, leads to the theoretical and practical significance of the study, then the present situation of research and development describes the benefits of intelligent lighting system development and KNX bus protocol and fieldbus. Then according to the lighting system design based on the library, complete illumination calculation, lamps and lighting control to select content analysis to arrive at a saving to the conclusion that there are some drawbacks of traditional lighting control.Secondly, by contrast with the traditional lighting control methods, this paper presents the use of I-BUS KNX intelligent lighting system design of the program and describes the composition and function of i-BUS KNX system, on the basis of analysis of the design points system Construction of the network topology diagram.Then, for the ETS software functions and features as well as methods using ETS software for device configurations were studied. Finally, demand analysis completed I-BUS KNX bus selection of equipment and wiring design, configuration and use of reasonable simulation of a complete library centralized monitoring intelligent lighting system, control and implementation.Finally fuzzy neural network applications, will have the ability to learn in the library lighting control systems to personnel flow, indoor and outdoor brightness variable as a parameter to construct fuzzy neural network model and parameter adjustment made to design a fuzzy neural network program by training, analysis of this method is energy-saving effect is remarkable.By studying a library lighting systems, the use of ETS software theory and fuzzy neural network to analyze the use of I-BUS KNX intelligent lighting control system, with energy-saving effect is remarkable and relatively simple control, etc., has a very good application and practical value.