Design and implementation of LED lighting intelligent control system for expressway tunnel entrance based on Internet of things and fuzzy control

Ying Lu,Xiaojun Bai,Jin Wang,Hehan Wang

doi:10.1177/1550147720925742

Abstract

Due to the special characteristics of highway tunnels and vehicles, the interior of the tunnel is required to provide appropriate lighting to ensure the safety of driving vehicles, especially at the entrance section of the tunnel. At present, most of the tunnel entrance lighting control system only considers one single factor, the brightness outside the tunnel. However, in practice, the required lighting brightness in the tunnel is also related to traffic flow, speed, and other factors. Comprehensively utilizing these factors to improve the control strategy is urgently needed. To deal with this problem, this article has designed a multi-source information acquisition system for tunnel lighting based on the Internet of things technology, which combined with fuzzy control theory in order to develop an intelligent control system for LED lighting at the entrance section of the tunnel. The designed system was implemented and long-term tested in a real highway tunnel. The experimental results have shown that the system designed in this article can automatically control the brightness of the lighting inside the tunnel according to the real-time measurements of the brightness outside the tunnel, traffic flow, speed, and so on. Furthermore, the utilizations of the system can minimize the human and power consumption of tunnel lighting while ensuring the safety of tunnel traffic.

Highlights

With the rapid economic developments in recent years, China has become the world’s second largest economy in 2019
According to the lighting requirements of the tunnel entrance section provided in the previous section, the system design in this article is mainly composed of two parts: the data acquisition and transmission system based on the Internet of things and the embedded control system based on fuzzy control theory
The intelligent control system first processes the signals collected by each sensor node to get the estimated values of brightness, traffic flow, and vehicle speed outside the tunnel, and the input data are fuzzed based on the basic principle of fuzzy control

Summary

Introduction

With the rapid economic developments in recent years, China has become the world’s second largest economy in 2019. The formulation of various criteria and specifications ensures the driving safety and energy saving, but it still needs to be developed further in the aspects of intelligent transportation and intelligent control.[4,5] The main European and American developed countries have been far ahead in the field of the lighting control technology of highway tunnel as early as the 1960s. They have a large number of experts and scholars through longterm research studies and practices, and the technologies are relatively mature. At present, lighting design criteria suitable for national conditions have been developed, but there is still a serious lack of fine and intelligent control of tunnel lighting, which is still to be developed in terms of low energy consumption and green traffic.[18,19]

Background

Method

Findings

Experiments and results