ISSN 2096-4498
CN 44-1745/U
ISSN 2096-4498
CN 44-1745/U
Study of Illumination Control System of Highway Tunnel Based on Fuzzy Neural Network
Received date: 2017-03-17
Revised date: 2017-06-02
Online published: 2018-02-25
The energy waste problem of illumination system in tunnel is serious. In order to reduce the energy consumption of tunnel illumination control system, a kind of tunnel illumination control strategy based on fuzzy neural network algorithm is put forward. The realtime collection of brightness outside the tunnel portal, the traffic flow and the vehicle speed are taken as input values of the illumination control system; the illumination loop dimming values collected from every illumination tunnel section are taken as the output values of the illumination control system; a illumination control model with tripleinput and singleoutput is established; and the mechanism and training of the establishment and caululation of the model are analyzed. The energysaving effect of the model for tunnel illumination control system is verified by experimental simulation, which can provide reference for present study of tunnel illumination control.
QIN Huifang , GUO Youmin , LUO Ronghui . Study of Illumination Control System of Highway Tunnel Based on Fuzzy Neural Network[J]. Tunnel Construction, 2017 , 37(S2) : 115 -120 . DOI: 10.3973/j.issn.2096-4498.2017.S2.017
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