采用遗传算法和WSN的智能灯控方法设计

发布时间：2018-01-21 13:16

本文关键词： 智能灯控遗传算法传感器网络节能　出处：《控制工程》2017年02期 　论文类型：期刊论文

【摘要】：为优化传统灯控系统照度要求和能量效率关系,设计一种基于无线传感器网络(WSN)照度反馈,并采用遗传算法来控制照明设备,以满足不同位置照度要求和能量效率的方法。首先,对灯控系统进行了建模,在考虑自然光照度和照明设备照度的前提下,将灯控系统满足不同位置照度需求时能耗最小目标描述为一个条件约束的最优化问题。然后对控制方法进行了详细设计,给出了遗传算法的流程图以及灯控方法控制决策过程,以满足用户的照度需求并提高能量的优化效率。在不同的场景下对提出方法进行了仿真测试,结果表明相比于固定光强方法,所提方法在能量消耗方面具有更好的性能。此外,系统能够动态适应环境变化,实现照度的有效控制,节能效果良好,具有实用价值。
[Abstract]:In order to optimize the relationship between illumination requirement and energy efficiency of traditional lamp control system, a kind of illumination feedback based on wireless sensor network (WSN) is designed, and genetic algorithm is used to control lighting equipment. In order to meet the different position illumination requirements and energy efficiency. Firstly, the lamp control system is modeled, considering the natural illumination and lighting equipment illumination. The minimum energy consumption objective of the lamp control system is described as an optimization problem with conditional constraints when the illumination requirement of different position is satisfied. Then the control method is designed in detail. The flow chart of genetic algorithm and the control decision-making process of lamp control method are given to meet the illumination requirements of users and improve the efficiency of energy optimization. The proposed method is simulated and tested in different scenarios. The results show that compared with the fixed light intensity method, the proposed method has better performance in energy consumption. In addition, the system can dynamically adapt to environmental changes and achieve effective illumination control, and the energy saving effect is good. It has practical value.
【作者单位】：长春师范大学计算机科学与技术学院;长春工业大学计算机科学与工程学院;
【基金】：吉林省科技发展计划项目(20111311) 吉林省发改委经济结构战略调整引导资金项目(2014Y137) 吉林省教育厅“十二五”科学技术研究项目(吉教科合字[2014]第264号)
【分类号】：TP212.9;TN929.5;TP18
【正文快照】： 随着无线通信和微机电系统技术的进步,无线传感器网络(Wireless Sensor and Network,WSN)得到了快速发展[1-4]。近年来,无线传感器网络逐渐应用于节能灯控系统[5-7]。文献[5]定义用户需求和代价函数,通过调节照明设备来最小化能量代价,但主要应用于娱乐、媒体等场景灯控。文献

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