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基于模糊神经网络的隧道照明控制系统
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2009-08-13
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针对现有隧道照明存在的大量电能浪费，提出一种基于模糊神经网络的隧道照明控制
系统实现节能。将车速、车流量和洞外亮度做为系统的输入，照明回路调光数值做为系统的输出。系统主要用于自适应控制，神经网络采用了BP 网络。文章介绍了系统的功能和实现的关键技术。
关键词：隧道照明；自适应控制；模糊神经网络
Abstract:In the illumination of tunnels which waste a lot of electric energy now,a tunnel
illumination control system based on fuzzy neural network was adopted to save energy. In this control system,the vehicle speed,vehicle flowrate and tunnel ambient exterior are the
input ,adjustment for illumination is the output.The control system applied to self-adaptive
control,BP neural network was adopted. The paper presents the capability and the key technology of system.
Key words: tunnel illumination, self-adaptive control, fuzzy neural network
系统实现节能。将车速、车流量和洞外亮度做为系统的输入，照明回路调光数值做为系统的输出。系统主要用于自适应控制，神经网络采用了BP 网络。文章介绍了系统的功能和实现的关键技术。
关键词：隧道照明；自适应控制；模糊神经网络
Abstract:In the illumination of tunnels which waste a lot of electric energy now,a tunnel
illumination control system based on fuzzy neural network was adopted to save energy. In this control system,the vehicle speed,vehicle flowrate and tunnel ambient exterior are the
input ,adjustment for illumination is the output.The control system applied to self-adaptive
control,BP neural network was adopted. The paper presents the capability and the key technology of system.
Key words: tunnel illumination, self-adaptive control, fuzzy neural network
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