本文選題：智能照明　切入點：室內(nèi)照度比例模型　出處：《天津職業(yè)技術師范大學》2014年碩士論文　論文類型：學位論文

【摘要】：隨著社會經(jīng)濟和科技的發(fā)展，能源損耗的問題日益突出。在我國，學校、醫(yī)院以及企業(yè)等室內(nèi)公共場所的光源控制基本依靠傳統(tǒng)人工管理，因此能源利用效率低，這與目前提倡的的“低碳經(jīng)濟”不符。節(jié)能降耗與社會經(jīng)濟可持續(xù)發(fā)展密切相關，加快“智能樓宇”的推廣和建設的步伐成為時代發(fā)展的必然要求。建設“智能樓宇”的進程中，由于引入了智能照明控制系統(tǒng)，帶來的改善效果非常明顯。智能照明的控制內(nèi)容包扣對燈具、電氣器材、光源、光學元器件的應用。比如，天然光的充分利用、相關的節(jié)能控制器件或設備的應用、智能照明控制系統(tǒng)的應用等。 本文深入分析了自然光的特性和天空模型的分類，通過計算室內(nèi)某點照度，建立了室內(nèi)照度比例模型，，從而揭示了室內(nèi)各點之間的照度關系。利用DIALux照明設計軟件對照明室內(nèi)環(huán)境進行仿真,確定室內(nèi)照度的分布。再利用MATLAB軟件進行計算,確定相關模型系數(shù);基于BP人工神經(jīng)網(wǎng)絡設計了房間照度分布模型，并利用遺傳算法對桌面均衡照度分布優(yōu)化模型進行求解,實現(xiàn)了室內(nèi)照明的智能照明控制。 本文設計了樓宇智能LED照明控制系統(tǒng)的硬件及軟件。整個系統(tǒng)的設計分為上位機、主機系統(tǒng)、從機系統(tǒng)三個部分。利用Visual C++開發(fā)了上位機系統(tǒng)實現(xiàn)樓宇照明的集中管理;并且設計了基于嵌入式系統(tǒng)（ARM7系列的STM32）的智能照明控制系統(tǒng)的各個模塊，并在此基礎上對器件進行選型。 控制系統(tǒng)中應用了CAN總線和I2C總線，選用CAN總線作為智能照明控制系統(tǒng)的上位機和下位機之間的通信方式，選用I2C總線作為照度傳感器的接口。
[Abstract]:With the development of social economy and science and technology, the problem of energy loss is becoming more and more prominent. In our country, light source control in indoor public places such as schools, hospitals and enterprises basically depends on traditional artificial management, so energy use efficiency is low. This is not in line with the "low-carbon economy" that is currently being advocated. Energy conservation and consumption reduction are closely related to sustainable socio-economic development. Speeding up the promotion and construction of "intelligent building" has become an inevitable requirement of the development of the times. In the process of building "intelligent building", the introduction of intelligent lighting control system, The effect of the improvement is very obvious. The control contents of intelligent lighting are applied to lamps, electrical devices, light sources, optical components. For example, the full use of natural light, the application of related energy-saving controller or equipment, The application of intelligent lighting control system. In this paper, the characteristics of natural light and the classification of sky models are deeply analyzed, and the indoor illumination ratio model is established by calculating the illumination at a certain point in the room. The illumination distribution of indoor illumination is determined by using DIALux lighting design software, and the correlation model coefficient is determined by using MATLAB software. Based on BP artificial neural network, the room illumination distribution model is designed, and the optimization model of desktop balanced illumination distribution is solved by genetic algorithm, which realizes the intelligent lighting control of indoor lighting. The hardware and software of building intelligent LED lighting control system are designed in this paper. The whole system is divided into three parts: upper computer, host computer system and slave computer system. The upper computer system is developed with Visual C to realize the centralized management of building lighting. Each module of the intelligent lighting control system based on the embedded system (ARM7 series STM32) is designed, and the device is selected on this basis. The CAN bus and I2C bus are used in the control system, the CAN bus is chosen as the communication mode between the upper computer and the lower computer of the intelligent lighting control system, and the I2C bus is chosen as the interface of the illuminance sensor.
【學位授予單位】：天津職業(yè)技術師范大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP273;TM923.34

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