一种基于机器学习的自然调光LED节能灯  

Natural Dimming Energy-saving LED Lamp Based on Machine Learning

作　　者：李峦 陈英革[1] 王小英[1] LI Luan;CHEN Ying-ge;WANG Xiao-ying(School of Electrical and Automation Engineering,Changshu Institute of Technology,Changshu 215500,China)

机构地区：[1]常熟理工学院电气与自动化工程学院,江苏常熟215500

出　　处：《电脑知识与技术》2020年第5期231-235,共5页Computer Knowledge and Technology

摘　　要：随着照明科学的发展与机器学习技术的进步,社会上对专业照明光源的需求不断提高。而传统的照明光源能耗大、调光非线性、智能化程度低,不能满足当今社会的需要。针对这种现象,设计了一款面向多领域的智能调光照明系统。该照明系统以51单片机为核心,结合人体传感器、光线传感器进行环境监测,通过机器学习算法、伽马自然调光算法、色温计算算法进行分析与处理,使照明光线时刻处于最佳状态,满足不同领域的专业人士对工作光线的要求。经过实际的运行与测试,该照明系统具有功耗低、稳定、扩展性强等优点,可以为艺术工作者、医疗工作者等提供专业的照明光源。With the development of lighting science and the advancement of machine learning technology,the demand for professional lighting sources in the society has been continuously improved.The traditional lighting source has large energy consumption,nonlinear dimming,and low intelligence,which cannot meet the needs of today′s society.In response to this phenomenon,designed a smart dimming lighting system for multiple fields.The lighting system is Based on 51 single-chip microcomputers,combined with human body sensors and light sensors for environmental monitoring.It is analyzed and processed by machine learning algorithm,gamma natural dimming algorithm and color temperature calculation algorithm to make the illumination light at the best state and meet different conditions.The requirements of the field of professional light for work.After actual operation and testing,the lighting system has the advantages of low power consumption,stability,and strong expansion,and can provide professional lighting sources for artists and medical workers.

关 键 词：发光二极管 节能灯 机器学习 伽马调光 色温调节 环境光感应 

分 类 号：TP272[自动化与计算机技术—检测技术与自动化装置]