ISSN 2096-4498

   CN 44-1745/U

二维码

Study of Illumination Control System of Highway Tunnel Based on Fuzzy Neural Network

  • QIN Huifang ,
  • GUO Youmin ,
  • LUO Ronghui
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  • (Mechanical and Electronic Technology Institute,Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China)

Received date: 2017-03-17

  Revised date: 2017-06-02

  Online published: 2018-02-25

Abstract

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 realtime 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 tripleinput and singleoutput is established; and the mechanism and training of the establishment and caululation of the model are analyzed. The energysaving 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.

Cite this article

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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