当前位置:主页 > 科技论文 > 电力论文 >

根据自然光照自动调节室内照明的方法及实现

发布时间:2018-06-29 16:51

  本文选题:智能照明 + 节能减排 ; 参考:《华南理工大学》2014年硕士论文


【摘要】:随着社会的发展,照明节能已逐渐成为人们的共识。除了采用高效能光源外,在不影响照明需求的前提下,合理地控制光源的输出光强也是节能的重要手段之一。太阳光是最适合人类视觉系统的光源,在室内照明中合理地利用自然光,不仅可保护人眼视力,而且可以减少了电能消耗,具有广阔的发展前景和良好的经济、社会价值。 本文以室内照明为研究对象,研究了一种根据室外自然光照变化而自动调节室内LED灯管亮度等级的方法。主要研究工作包括: 建立三个相关的模型:根据采光节点的五面采光特性,判断天气情况的模型;根据天气情况,计算自然光室内衰减后的照度值的数学模型;根据人眼感光特性估算所需要的照度值模型。 研究了人工光源调节策略:根据计算出来的室内衰减后光照,结合人眼对光照的需求特性,研究了室内人工光源调节策略,使室内的总照度在满足人眼需求的前提下,尽可能节能省电。 具体功能的实现:智能调光的实现是基于一个室内照明管理系统,系统主要由三部分构成:Zigbee节点模块(包括灯组节点和光照采集器)、TCP/IP网关模块(包括Zigbee节点和以太网接入器)、管理系统。五面采光节点间隔一定时间或阳光发生剧烈变化主动触发信息上传,将采光信息通过网关模块上传电脑管理系统,系统根据程序算法计算出此时合适的亮度等级,并将控制信息通过Zigbee网络发向LED灯管,实现智能自动的调节。 智能调光算法的验证:设计一些实验,,用数据证明本论文研究的根据自然光照自动调节室内LED灯管亮度等级的方法具有科学性、准确性和合理性。实验包括:对地理天文参数准确性的验证、采光节点反映窗口照度准确性的验证、自然光照室内衰减照度计算值和实测值的比较、最终调光效果有效性验证。 概而言之,本文为室内智能照明控制提供了一种新方法,通过该方法不仅使照明更加科学合理,同时节能效果更加显著,很好的响应了当前发展低碳经济的口号,该系统可广泛应用于办公楼宇,家庭,学校,工厂,具有广阔的市场前景。
[Abstract]:With the development of society, lighting energy conservation has gradually become the consensus of people. Besides using high efficiency light source, it is also one of the important means of energy saving to reasonably control the output light intensity of light source without affecting the lighting demand. Solar light is the most suitable light source for human visual system. The reasonable use of natural light in indoor lighting can not only protect human visual acuity, but also reduce the consumption of electric energy. It has broad development prospects and good economic and social value. Taking indoor lighting as the research object, this paper studies a method of automatically adjusting the luminance grade of indoor LED lamp according to the change of outdoor natural light. The main research work includes three related models: a model to judge the weather condition according to the five surface lighting characteristics of the lighting node, a mathematical model to calculate the illuminance value of the natural light indoor after attenuation according to the weather condition, and a mathematical model to calculate the illumination value after the attenuation of the natural light chamber. The required illumination value model is estimated according to the light sensitivity characteristics of human eyes. This paper studies the adjustment strategy of artificial light source: according to the light intensity after indoor attenuation and the characteristics of the human eye, the adjustment strategy of indoor artificial light source is studied, so that the total illumination of the room can meet the needs of the human eye. Save energy and electricity as much as possible. Realization of specific functions: the realization of intelligent dimming is based on an indoor lighting management system. The system mainly consists of three parts: Zigbee node module (including lamp group node and light collector) and TCP / IP gateway module (including Zigbee node and Ethernet connector), and the management system. The five-sided lighting node has a certain time interval or drastic changes in the sun to trigger the information upload. The lighting information is uploaded to the computer management system through the gateway module. The system calculates the appropriate luminance level according to the program algorithm. The control information is sent to LED lamp through Zigbee network to realize intelligent automatic adjustment. Verification of intelligent dimming algorithm: some experiments are designed to prove that the method of automatically adjusting the brightness grade of indoor LED lamp based on natural illumination is scientific, accurate and reasonable. The experiments include: the veracity of geographical astronomical parameters, the veracity of reflecting window illuminance of daylighting nodes, the comparison between the calculated values of natural illumination indoor attenuation illuminance and the measured values, and the validity of dimming effect. In general, this paper provides a new method for indoor intelligent lighting control, which not only makes the lighting more scientific and reasonable, but also has a more significant energy saving effect, and responds well to the slogan of developing low-carbon economy. The system can be widely used in office buildings, families, schools, factories, with broad market prospects.
【学位授予单位】:华南理工大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM923

【参考文献】

相关期刊论文 前4条

1 王金光;肖辉;;天然采光与人工照明的智能结合策略[J];电脑知识与技术(学术交流);2007年21期

2 俞丽华;;智能照明控制技术及发展[J];智能建筑与城市信息;2007年10期

3 王国安;米鸿涛;邓天宏;李亚男;李兰霞;;太阳高度角和日出日落时刻太阳方位角一年变化范围的计算[J];气象与环境科学;2007年S1期

4 杨勇平;杨志平;徐钢;王宁玲;;中国火力发电能耗状况及展望[J];中国电机工程学报;2013年23期



本文编号:2082753

资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/dianlilw/2082753.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户04534***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com