基于FNN的城市景观照明智能节能控制方法仿真
Simulation of Intelligent Energy Saving Control Method of Urban Landscape Lighting Based on FNN
石海啸 1刘志锋2
作者信息
- 1. 江苏大学,江苏 镇江 212000
- 2. 江苏大学计算机科学与通信工程学院,江苏 镇江 212000
- 折叠
摘要
为了降低景观照明用电能耗,提升节能效果,提出基于FNN的城市景观照明智能节能控制方法.分析城市景观照明需求,依据分析结果建立景观照明区域划分模型,利用上述模型将城市景观照明区域划分为开启区域和关闭区域,并在开关区域之间建立缓冲区域,规避城市景观照明控制时出现的延迟误差问题;采集景观照明设备运行状态数据,通过FNN网络对其实施训练学习,获取完整的设备状态数据集;基于获取的数据集通过模糊神经网络设计节能控制器,并利用以上节能控制器实现城市景观照明智能节能控制.实验结果表明,使用该方法对景观照明开展智能节能控制时,调光时长、照明时间以及用电能耗均得到了良好控制,说明其能够满足照明节能需求.
Abstract
In order to reduce the power consumption of landscape lighting and improve the energy-saving effect,an intelligent energy-saving control method of urban landscape lighting based on FNN was proposed.Firstly,we ana-lyzed the demand for urban landscape lighting.On this basis,we built a model for dividing landscape lighting areas.Then,we used this model to divide the landscape lighting area into an open area and a closed area,and constructed a buffer area between the two areas,thus avoiding the delay error during the lighting control.Moreover,we collected the operation data of landscape lighting devices.After that,we trained and learned them through a FNN network,thus ob-taining a complete set of status data.Based on the data set,an energy-saving controller was designed by the fuzzy neural network.Meanwhile,we used the energy-saving controller to complete the intelligent energy-saving control for urban landscape lighting.Experimental results show that this method can control the dimming time,lighting time and power consumption very well,and satisfies the the lighting energy-saving demands.
关键词
模糊神经网络/城市景观/智能节能控制/节能控制器/照明区域划分模型Key words
Fuzzy neural network/Urban landscape/Intelligent energy-saving control/Energy-saving controller/Division model of illuminated area引用本文复制引用
出版年
2024
NETL
NSTL
万方数据