基于多目标优化算法的温室远程监控系统设计

Design of A Greenhouse Remote Control System Based on Multi-objective Optimization Algorithm

当前大多数温室远程监控系统的控制模块仅凭用户经验,缺乏科学性、系统性的指导,没有实现真正意义上的远程控制。针对这一问题,该文在控制模块中引入多目标优化遗传算法,旨在找到一组最优控制指令,把温室内温湿度调节到适宜作物生长的区间;同时,有效地降低温室生产的能耗,增强了温室远程监控系统的控制功能。

At present, there is rarely any scientific and systematic guidance in remote control systems of greenhouse. And people use these systems only depend on experience. From this view, remote control has not been realized. To solve this problem, this paper brings the multi-objective optimization genetic algorithm in control system, so users could get a best control instruction. The instruction could keep a suitable temperature and humidity for crop growth and reduce the cost of greenhouse production as much as possible, therefore it could strengthen the system＇s control function.