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基于KNX現(xiàn)場(chǎng)總線的圖書(shū)館照明智能控制研究

發(fā)布時(shí)間:2018-01-19 15:18

  本文關(guān)鍵詞: 圖書(shū)館 KNX 智能照明 模糊神經(jīng)網(wǎng)絡(luò) 出處:《沈陽(yáng)建筑大學(xué)》2015年碩士論文 論文類(lèi)型:學(xué)位論文


【摘要】:隨著我國(guó)建筑行業(yè)的快速發(fā)展,建筑照明節(jié)能問(wèn)題已經(jīng)被越來(lái)越多人所重視。目前眾多照明系統(tǒng)控制方式無(wú)法對(duì)照明系統(tǒng)進(jìn)行精確管理,造成燈具長(zhǎng)時(shí)間開(kāi)啟,光源使用壽命縮短,導(dǎo)致電能及人力資源的浪費(fèi),運(yùn)行成本增大;诖,本文以某圖書(shū)館照明系統(tǒng)為研究對(duì)象,通過(guò)與傳統(tǒng)照明系統(tǒng)對(duì)比,提出利用智能照明控制系統(tǒng)的解決方案,并在系統(tǒng)中嘗試應(yīng)用模糊神經(jīng)網(wǎng)絡(luò),對(duì)智能照明控制系統(tǒng)的產(chǎn)品開(kāi)發(fā),提供了一些方法和埋論依據(jù)。本文首先對(duì)于課題研究的意義及背景作了介紹,引出了研究的理論意義和實(shí)際意義,然后結(jié)合課題的研究現(xiàn)狀介紹了智能照明系統(tǒng)的發(fā)展及總線協(xié)議和KNX現(xiàn)場(chǎng)總線的優(yōu)點(diǎn)及其發(fā)展。隨后根據(jù)圖書(shū)館照明系統(tǒng)設(shè)計(jì)依據(jù),完成了照度計(jì)算、燈具選擇及燈具控制等內(nèi)容,從而得出了節(jié)能分析結(jié)論,即傳統(tǒng)照明控制方式存在一些弊端。其次,通過(guò)與傳統(tǒng)照明控制方式的對(duì)比,本文提出了運(yùn)用I-BUS KNX系統(tǒng)進(jìn)行智能照明設(shè)計(jì)的方案,并介紹了I-BUS KNX系統(tǒng)的組成與功能,在此基礎(chǔ)上分析了系統(tǒng)的設(shè)計(jì)要點(diǎn),構(gòu)建了網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)示意圖。然后,對(duì)于ETS軟件功能和特點(diǎn)以及采用ETS軟件進(jìn)行設(shè)備配置的方法進(jìn)行了研究。最后結(jié)合需求分析完成了I-BUS KNX總線設(shè)備選型以及接線設(shè)計(jì),運(yùn)用合理的配置和仿真完成了某圖書(shū)館智能照明系統(tǒng)的集中監(jiān)視、控制及實(shí)現(xiàn)。最后,將具有學(xué)習(xí)能力的模糊神經(jīng)網(wǎng)絡(luò)應(yīng)用在圖書(shū)館照明控制系統(tǒng)中,以人員流量、室內(nèi)外光亮度作為參數(shù)變量,構(gòu)建了模糊神經(jīng)網(wǎng)絡(luò)模型,并做了參數(shù)調(diào)整,設(shè)計(jì)了模糊神經(jīng)網(wǎng)絡(luò)程序,通過(guò)訓(xùn)練,分析出此方法節(jié)能效果顯著。通過(guò)對(duì)圖書(shū)館照明系統(tǒng)的研究,利用ETS軟件及模糊神經(jīng)網(wǎng)絡(luò)的相關(guān)理論,分析出運(yùn)用I-BUS KNX智能照明控制系統(tǒng)后,具有節(jié)能效果顯著且控制相對(duì)簡(jiǎn)單等優(yōu)點(diǎn),擁有很好的適用性和實(shí)用價(jià)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.
【學(xué)位授予單位】:沈陽(yáng)建筑大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類(lèi)號(hào)】:TU113.662;TP273

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