摘要
在具有多个灯具连续可调的照明系统中实现基于日光和用户需求的动态控制对人眼舒适度和建筑节能有重要意义。论文针对传统照明系统中亮度不可调及未充分考虑日光及季节变化的缺陷与不足,提出了基于日光和用户需求的智能照明控制策略,着重考虑智能照明系统中日光估计的问题。日光估计分为训练和操作2个阶段,在训练阶段,利用布置在天花板和工作面传感器获取的映射信息训练日光估计模型。在操作阶段,利用已有的日光估计模型计算日光在工作面的照度贡献并传递至中央控制器,中央控制器通过对传感器反馈值和用户的期望照度输入值进行分析,并利用约束控制算法确定灯具的最佳调光值。假设灯具的功耗可近似与调光水平成正比,此假设下灯具功耗是调光系数与LED灯具最大功耗乘积。因此整个智能照明控制系统的目标函数是灯具及其它智能设备功耗之和,约束条件为光传感器的照度值大于等于智能化设备的设定值,且调光水平在物理允许范围内。通过考虑不同的光照条件,论文评估了该方法在开放式办公室照明模型中的性能。
It is of great significance to human visual comfort and building energy conservation when dynamic control of daylight and user demand is realized in a system of multiple continuously tunable lamps.This paper proposed a self-adaption intelligent light control strategy to improve disadvantages in illumination tunability and ignorance of variability of daylight in different seasons,particularly to improve estimation of daylight in intelligent lighting system.Daylight estimation can be divided into two steps of training and operating.In the first step,estimation model will be trained with the mapping information received by sensors fixed on cells and work faces.In operating step,illumination of daylight on working face can be estimated by the trained estimation model and transmitted to central controller.Central controller will analyze feedback of sensors and input value of user’s expected illumination and optimize dimming index by a constraint algorithm.It is assumed that the power consumption of the LED is approximately proportional to the dimming level.Under this assumption,the power consumption of the LED is the product of the dimming coefficient and the maximum power consumption of the LED.Therefore,the objective function of the whole intelligent lighting control system is the sum of the power consumption of LEDs and other intelligent devices,and the constraint condition is that the illumination value of the light sensor is greater than or equal to the set value of the intelligent device.The optimized dimming index should follow physical laws.Performance of the proposed controlled strategy was evaluated in an illumination model of an open office while considering different lighting condition.
作者
许馨尹
刘梦杰
李涛
付保川
XU Xinyin;LIU Mengjie;LI Tao;FU Baochuan(School of Electronic and Information Engineering,Suzhou 215009,Jiangsu,China;Xi’an University of Architecture and Technology,Xi'an 710055,Shaanxi,China)
出处
《建筑科学》
CSCD
北大核心
2022年第8期184-193,共10页
Building Science
基金
苏州科技大学苏州智慧城市研究院开放课题“面向智慧公共建筑节能的数据驱动能耗模型及其应用研究”
安徽建筑大学智能建筑与建筑节能重点实验室开放课题“基于区块链的建筑群分布式能源调度方法研究”(IBES2021KF08)
国家自然科学基金项目“基于深度强化学习的大型公共建筑智慧节能方法研究”(61672371)。
关键词
建筑节能
动态照明
日光估计
约束控制
用户需求
building energy saving
dynamic lighting
daylight estimation
constraint control
user requirement