針對(duì)現(xiàn)有隧道照明存在的大量電能浪費(fèi)，提出一種基于模糊神經(jīng)網(wǎng)絡(luò)的隧道照明控制
系統(tǒng)實(shí)現(xiàn)節(jié)能。將車速、車流量和洞外亮度做為系統(tǒng)的輸入，照明回路調(diào)光數(shù)值做為系統(tǒng)的輸出。系統(tǒng)主要用于自適應(yīng)控制，神經(jīng)網(wǎng)絡(luò)采用了BP 網(wǎng)絡(luò)。文章介紹了系統(tǒng)的功能和實(shí)現(xiàn)的關(guān)鍵技術(shù)。
關(guān)鍵詞：隧道照明；自適應(yīng)控制；模糊神經(jīng)網(wǎng)絡(luò)
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