Real-Time Control Algorithm of Intelligent Energy-Saving Lights based on IoT

Bo Su, Zeyuan Zhang, Yuansheng Zhang, Qingyue Yang, Jiong Jiang
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Abstract

The world is currently facing a very serious energy crisis, how to save energy and improve energy utilization is an important issue to all countries. Lighting power consumption occupies a large proportion of people's electricity consumption, and most of the existing lighting control strategies are based on the activities of people or time scenes, ignoring the influence of natural light. In this paper, in order to make full use of natural light, we propose a real-time control algorithm of intelligent energy-saving lights. When natural light exists, the strategy calculates the level of light brightness at that moment through an algorithm and adjusts the brightness level of luminaire. This method saves energy by reducing the luminaire brightness level while meeting people's needs for work surface illumination. The simulation results indicated that our real-time lighting control algorithm has better energy saving effect compared with the traditional lighting control strategy.
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基于物联网的智能节能灯实时控制算法
当前世界面临着非常严重的能源危机,如何节约能源,提高能源利用率是各国面临的重要问题。照明用电量占据了人们用电的很大比例,而现有的照明控制策略大多是基于人的活动或时间场景,忽略了自然光的影响。为了充分利用自然光,本文提出了一种智能节能灯的实时控制算法。当存在自然光时,该策略通过算法计算出该时刻的光亮度水平,并调整灯具的亮度水平。该方法在满足人们对工作面的照明需求的同时,通过降低灯具亮度来节约能源。仿真结果表明,与传统的照明控制策略相比,我们的实时照明控制算法具有更好的节能效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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