基于模糊控制的博物馆多层级照明控制方法

Multi-level lighting control method of museum based on fuzzy control

针对现有博物馆照明控制方法无法分区域、分场景照明,从而导致博物馆照明存在不智能与不节能的问题,本文提出了一种基于模糊控制的博物馆多层级照明控制方法。将照明控制系统分为总系统控制层和区域子系统控制层,并将博物馆划分为进厅子区域、陈列厅子区域和过道子区域。考虑到每个区域子系统的照明需求不同,故照明亮度的上限不同。总系统控制层可根据入馆总人数,基于模糊控制对各区域子系统照明亮度的范围进行控制,通过总系统控制层将博物馆照明控制从不可预知时间表控制转化成可预知时间表控制,实现系统对博物馆所处场景进行自主判断,便于对博物馆所有区域的照明进行统一控制。在此基础上,各区域子系统根据传感器检测的具体人数以及外界入射的自然光亮度,分区域地调节照明设备的亮度。MATLAB/Simulink平台的仿真结果表明,所设计的基于模糊控制的博物馆多层级照明控制方法能自动依据游客数量、入射自然光亮度,分区域地调节照明灯具的亮度,有效提高了博物馆照明的智能性和节能性。

The existing lighting control methods for museums are not intelligent and energy-efficient so that they cannot provide lighting for different areas and scenes. This paper proposes a multi-level lighting control method of museum based on fuzzy control. The method divides the lighting control system into total system control layer and regional subsystem control layer. Then, museums are divided into entrance regional subsystem, exhibition hall regional subsystem and corridor subsystem. Considering that different areas have different lighting requirements, so the upper limits of lighting brightness are also different. The Luminance range of each regional subsystem is controlled by total system control layer based on fuzzy control theory according to the total number of people entering the museum. Through the total system control layer, the museum lighting control is transformed from unpredictable schedule control to predictable schedule control.The method enables lighting system to make independent judgment on the scene of the museum, which makes it easy to control the lighting in all areas of the museum. On this basis, each regional subsystem adjusts the brightness of the lighting equipment according to the specific number of people and the natural light intensity which is detected by sensors. The simulation results of MATLAB/Simulink show that the multi-level lighting control method of museum based on fuzzy control can adjust the brightness of lighting equipment for different areas automatically according to the number of visitors and incident natural light intensity. In conclusion, the method improves the intelligence and energy-efficiency of museum lighting system.