ISSN 2096-4498

   CN 44-1745/U

二维码

Tunnel Construction ›› 2017, Vol. 37 ›› Issue (S2): 115-120.DOI: 10.3973/j.issn.2096-4498.2017.S2.017

Previous Articles     Next Articles

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

QIN Huifang, GUO Youmin, LUO Ronghui   

  1. (Mechanical and Electronic Technology Institute,Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China)
  • Received:2017-03-17 Revised:2017-06-02 Online:2017-12-30 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.

Key words: highway tunnel, illumination system, intelligent control, energy conservation and emission reduction

CLC Number: