基于KNX现场总线的图书馆照明智能控制研究

发布时间：2018-01-19 15:18

本文关键词： 图书馆 KNX 智能照明模糊神经网络　出处：《沈阳建筑大学》2015年硕士论文　论文类型：学位论文

【摘要】：随着我国建筑行业的快速发展,建筑照明节能问题已经被越来越多人所重视。目前众多照明系统控制方式无法对照明系统进行精确管理,造成灯具长时间开启,光源使用寿命缩短,导致电能及人力资源的浪费,运行成本增大。基于此,本文以某图书馆照明系统为研究对象,通过与传统照明系统对比,提出利用智能照明控制系统的解决方案,并在系统中尝试应用模糊神经网络,对智能照明控制系统的产品开发,提供了一些方法和埋论依据。本文首先对于课题研究的意义及背景作了介绍,引出了研究的理论意义和实际意义,然后结合课题的研究现状介绍了智能照明系统的发展及总线协议和KNX现场总线的优点及其发展。随后根据图书馆照明系统设计依据,完成了照度计算、灯具选择及灯具控制等内容,从而得出了节能分析结论,即传统照明控制方式存在一些弊端。其次,通过与传统照明控制方式的对比,本文提出了运用I-BUS KNX系统进行智能照明设计的方案,并介绍了I-BUS KNX系统的组成与功能,在此基础上分析了系统的设计要点,构建了网络拓扑结构示意图。然后,对于ETS软件功能和特点以及采用ETS软件进行设备配置的方法进行了研究。最后结合需求分析完成了I-BUS KNX总线设备选型以及接线设计,运用合理的配置和仿真完成了某图书馆智能照明系统的集中监视、控制及实现。最后,将具有学习能力的模糊神经网络应用在图书馆照明控制系统中,以人员流量、室内外光亮度作为参数变量,构建了模糊神经网络模型,并做了参数调整,设计了模糊神经网络程序,通过训练,分析出此方法节能效果显著。通过对图书馆照明系统的研究,利用ETS软件及模糊神经网络的相关理论,分析出运用I-BUS KNX智能照明控制系统后,具有节能效果显著且控制相对简单等优点,拥有很好的适用性和实用价值。
[Abstract]:With the rapid development of the construction industry in our country, more and more people have paid attention to the energy saving problem of building lighting. At present, many lighting system control methods can not accurately manage the lighting system, resulting in lighting long time open. The service life of light source is shortened, which leads to the waste of electric energy and human resources and the increase of operation cost. Based on this, this paper takes a library lighting system as the research object and compares it with the traditional lighting system. The solution of intelligent lighting control system is put forward, and the product development of intelligent lighting control system is attempted by using fuzzy neural network in the system. This paper first introduces the significance and background of the research, and leads to the theoretical and practical significance of the research. Then the paper introduces the development of intelligent lighting system and the advantages and development of KNX fieldbus according to the research status of the subject. Then according to the design basis of library lighting system the illuminance calculation is completed. The selection and control of lamps and lanterns, and so on, resulting in the conclusion of energy-saving analysis, that is, there are some drawbacks in the traditional lighting control mode. Secondly, through the comparison with the traditional lighting control mode. This paper puts forward a scheme of intelligent lighting design using I-BUS KNX system, and introduces the composition and function of I-BUS KNX system. On the basis of this, the main points of system design are analyzed. The schematic diagram of network topology is constructed. The functions and characteristics of ETS software and the method of equipment configuration using ETS software are studied. Finally, the I-BUS KNX bus device selection and wiring design are completed with the analysis of requirements. The centralized monitoring, control and realization of a library intelligent lighting system are accomplished by reasonable configuration and simulation. Finally, the fuzzy neural network with learning ability is applied in the library lighting control system. The fuzzy neural network model is constructed with the flow of people and the brightness of light in and out of the room as the parameter variable. The parameters are adjusted and the program of fuzzy neural network is designed and trained. Through the research on the lighting system of library, the related theories of ETS software and fuzzy neural network are used. The application of I-BUS KNX intelligent lighting control system has the advantages of remarkable energy-saving effect and relatively simple control, so it has good applicability and practical value.
【学位授予单位】：沈阳建筑大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TU113.662;TP273

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