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基于照度及車流量的城市智能照明系統(tǒng)模糊控制研究

發(fā)布時(shí)間:2018-06-17 18:52

  本文選題:智能照明 + 照度。 參考:《電子科技大學(xué)》2017年碩士論文


【摘要】:本論文的研究受四川省科技廳科技支撐計(jì)劃項(xiàng)目“城市綠色照明節(jié)能系統(tǒng)關(guān)鍵技術(shù)研究和應(yīng)用示范(七大戰(zhàn)略新興)”(編號(hào):2016GZ0312)的支持。隨著我國(guó)城市現(xiàn)代化以及城市擴(kuò)張腳步加快,城市智能照明系統(tǒng)的規(guī)模逐漸增大,其能源消耗高的缺點(diǎn)也越來(lái)越引人關(guān)注。城市智能照明系統(tǒng)中存在著開關(guān)燈方式不準(zhǔn)確、缺乏異常天氣應(yīng)對(duì)策略、運(yùn)行時(shí)使用的調(diào)燈方案也沒(méi)有考慮夜間路面情況等弊端,從而造成了電能的嚴(yán)重浪費(fèi)。隨著LED燈具技術(shù)的發(fā)展成熟,結(jié)合當(dāng)前照明系統(tǒng)的控制現(xiàn)狀,引入新型燈具及技術(shù)研究設(shè)計(jì)一種新型更節(jié)能更智能的系統(tǒng)控制方案具有重要的意義。本文圍繞以下幾個(gè)方向進(jìn)行研究:首先,構(gòu)建了城市智能照明系統(tǒng)控制模型,在此基礎(chǔ)上設(shè)計(jì)出雙模糊控制器切換的控制方案。設(shè)計(jì)了整套軟件系統(tǒng)運(yùn)行方案,包括系統(tǒng)監(jiān)控,系統(tǒng)開關(guān)燈操作,系統(tǒng)運(yùn)行調(diào)光期間操作,開關(guān)燈期間及運(yùn)行調(diào)光期間切換方案,系統(tǒng)針對(duì)異常天氣應(yīng)對(duì)及故障判斷等。其次,設(shè)計(jì)了光照模糊控制器及車流量模糊控制器,分別負(fù)責(zé)系統(tǒng)開關(guān)燈期間及系統(tǒng)運(yùn)行期間進(jìn)行的操作。在設(shè)計(jì)光照模糊控制器時(shí)對(duì)成都市日出日落時(shí)間進(jìn)行分析,并統(tǒng)計(jì)規(guī)律設(shè)計(jì)光照模糊控制器的隸屬度函數(shù)。在設(shè)計(jì)車流量模糊控制器時(shí),在考慮到LED燈具有啟動(dòng)快,易調(diào)光燈等特性的基礎(chǔ)上,對(duì)夜間車流量進(jìn)行檢測(cè)及預(yù)測(cè)操作,以得到的結(jié)果作為車流量模糊控制器調(diào)光依據(jù),結(jié)合合作單位的LED路燈調(diào)節(jié)專利技術(shù)(專利申請(qǐng)?zhí)?01120466375.9),對(duì)燈具進(jìn)行夜間調(diào)光操作,從而達(dá)到節(jié)能的目的。在車流量檢測(cè)時(shí),引入增強(qiáng)二值化方法以及引入SVM(Support Vector Machine)機(jī)器學(xué)習(xí)方式對(duì)車燈識(shí)別匹配,與傳統(tǒng)圓形度判別方案準(zhǔn)確性有所提高。第三,使用DIALux軟件計(jì)算了路面平均照度,對(duì)夜間調(diào)光可行性進(jìn)行了驗(yàn)證。使用MATLAB對(duì)整個(gè)系統(tǒng)仿真,對(duì)節(jié)能效果進(jìn)行驗(yàn)證。最后使用java語(yǔ)言開發(fā)了城市智能照明系統(tǒng)軟件部分。本文目的在于設(shè)計(jì)一種更節(jié)能更智能的城市智能照明系統(tǒng)控制方案。在設(shè)計(jì)過(guò)程中,充分整合了天氣、日出日落、夜間道路車流量等信息,通過(guò)雙模糊控制器切換的方式達(dá)到節(jié)能的目的。為城市照明系統(tǒng)節(jié)能提供了一種新的思路和方法,它彌補(bǔ)了傳統(tǒng)單模糊控制器方法的不足,節(jié)能效果更顯著。并且在構(gòu)建車流量模糊控制器時(shí),引入機(jī)器學(xué)習(xí)方案識(shí)別車燈,達(dá)到更高準(zhǔn)確性,在交通疏導(dǎo)等很多方向具有重要的意義。
[Abstract]:The research of this paper is supported by the scientific and technological support project of Sichuan Science and Technology Department, "Research and Application demonstration of key Technologies of Urban Green Lighting Energy-saving system (Seven Strategic emerging)" (No.: 2016GZ0312). With the development of urban modernization and urban expansion, the scale of urban intelligent lighting system is gradually increasing, and its shortcomings of high energy consumption are attracting more and more attention. In urban intelligent lighting system, there are some disadvantages, such as inaccurate way of switch lights, lack of abnormal weather strategy, and the scheme of adjusting lights in operation without considering the situation of road surface at night, which results in a serious waste of electric energy. With the development and maturity of LED lighting technology, it is of great significance to introduce a new type of lamp and technology to design a new more energy saving and intelligent system control scheme combined with the current situation of lighting system control. This paper focuses on the following aspects: firstly, the control model of urban intelligent lighting system is constructed, and the control scheme of double fuzzy controller switching is designed. The whole software system operation scheme is designed, including system monitoring, system switching lamp operation, system operation during operation and dimming, switching scheme during switch lamp and operation dimming period, system dealing with abnormal weather and fault judgment, etc. Secondly, the illumination fuzzy controller and the traffic flow fuzzy controller are designed, which are responsible for the operation of the system during the switch lamp period and the system operation period, respectively. The time of sunrise and sunset in Chengdu is analyzed when the illumination fuzzy controller is designed, and the membership function of the illumination fuzzy controller is designed. In the design of the fuzzy controller of traffic flow, taking into account the characteristics of LED lamps such as fast start and easy to adjust light, the traffic flow at night is detected and predicted, and the results obtained are used as the basis for dimming light of fuzzy controller of traffic flow. Combined with patent technology of LED street lamp regulation (patent application no. 201120466375.9), night dimming operation is carried out to achieve the purpose of energy saving. In the detection of vehicle flow, the accuracy of the method of enhanced binarization and SVM support Vector Machine learning is improved. Thirdly, the average illumination of road surface is calculated by using DiaLux software, and the feasibility of dimming at night is verified. MATLAB is used to simulate the whole system, and the effect of energy saving is verified. Finally, the software of urban intelligent lighting system is developed with java language. The purpose of this paper is to design a more energy-saving and intelligent control scheme for urban intelligent lighting system. In the design process, the information of weather, sunrise and sunset, traffic flow at night and so on are fully integrated, and the energy saving is achieved by means of double fuzzy controller switching. It provides a new way of thinking and method for energy saving of urban lighting system. It makes up for the deficiency of traditional single fuzzy controller method and the effect of energy saving is more remarkable. In the process of constructing fuzzy controller of traffic flow, it is of great significance to introduce machine learning scheme to recognize vehicle lights to achieve higher accuracy and in many directions such as traffic diversion.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP273;TU113.666

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