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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。
In order to optimize the relationship between illumination requirements and energy efficiency of traditional lighting control system, a method based on wireless sensor network (WSN) illumination feedback is designed, and a lighting system is controlled by using genetic algorithm to meet different illumination requirements and energy efficiency. Firstly, the light control system is modeled. Under the premise of natural illumination and illuminance of illumination equipment, the minimum energy consumption goal when the light control system meets the illumination requirements of different locations is described as an optimization problem of conditional constraint. Then the control method is designed in detail, and the flow chart of the genetic algorithm and the control decision process of the light control method are given to meet the user’s illumination requirement and improve the energy optimization efficiency. The proposed method is simulated under different scenarios. The results show that the proposed method has better performance in terms of energy consumption than the fixed intensity method. In addition, the system can dynamically adapt to environmental changes, to achieve effective control of illumination, energy-saving effect is good, with practical value.