楼宇智能LED控制系统的研究

发布时间：2018-03-08 09:26

本文选题：智能照明　切入点：室内照度比例模型　出处：《天津职业技术师范大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着社会经济和科技的发展，能源损耗的问题日益突出。在我国，学校、医院以及企业等室内公共场所的光源控制基本依靠传统人工管理，因此能源利用效率低，这与目前提倡的的“低碳经济”不符。节能降耗与社会经济可持续发展密切相关，加快“智能楼宇”的推广和建设的步伐成为时代发展的必然要求。建设“智能楼宇”的进程中，由于引入了智能照明控制系统，带来的改善效果非常明显。智能照明的控制内容包扣对灯具、电气器材、光源、光学元器件的应用。比如，天然光的充分利用、相关的节能控制器件或设备的应用、智能照明控制系统的应用等。本文深入分析了自然光的特性和天空模型的分类，通过计算室内某点照度，建立了室内照度比例模型，，从而揭示了室内各点之间的照度关系。利用DIALux照明设计软件对照明室内环境进行仿真,确定室内照度的分布。再利用MATLAB软件进行计算,确定相关模型系数;基于BP人工神经网络设计了房间照度分布模型，并利用遗传算法对桌面均衡照度分布优化模型进行求解,实现了室内照明的智能照明控制。本文设计了楼宇智能LED照明控制系统的硬件及软件。整个系统的设计分为上位机、主机系统、从机系统三个部分。利用Visual C++开发了上位机系统实现楼宇照明的集中管理;并且设计了基于嵌入式系统（ARM7系列的STM32）的智能照明控制系统的各个模块，并在此基础上对器件进行选型。控制系统中应用了CAN总线和I2C总线，选用CAN总线作为智能照明控制系统的上位机和下位机之间的通信方式，选用I2C总线作为照度传感器的接口。
[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.
【学位授予单位】：天津职业技术师范大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP273;TM923.34

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