城市夜景照明灯光污染智能控制技术研究

为了降低城市夜景照明灯光对环境的污染,需要进行灯光污染智能控制,根据环境地理和人文状况进行灯光实时调节,实现灯光随环境的智能控制,降低电能消耗的同时,减少灯光污染。提出基于模糊PID技术的城市夜景照明灯光污染智能控制技术。构建三层模糊PID神经网络模型进行城市夜景照明灯光污染控制模型设计,设计控制算法,以灯光强度、环境亮度以及灯光的功率损耗为约束参量,进行灯光控制律优化。采用该方法进行城市夜景照明灯光污染智能控制的可靠性较好,降低了灯光污染。

Study on Intelligent Control Technology of Lighting Pollution in Urban Night View Lighting

In order to reduce the pollution of urban night lighting, it is necessary to carry out intelligent control of the light pollution according to the environment geography and human condition. This study proposed to adjust the lighting in real time, to realize the intelligent control of the light with the environment and reduce power consumption at the same time. It puts forward in-telligent control technology of urban night scene lighting pollution based on fuzzy PID technology. A three-layer fuzzy PID neural network model is constructed to design the control model of urban night scene lighting light pollution. The control algorithm is de-signed to optimize the light control law by taking the light intensity, ambient brightness and power loss of the light as the constraint parameters. The control algorithm is put into the single chip microcomputer for program control. The reliability of intelligent con-trol of lighting pollution in urban night scene lighting by this method is good, and the light pollution is reduced.