Intelligent Control of Urban Lighting System Based on Video Image Processing Technology

Qi Yun,Chunlin Leng

doi:10.1109/access.2020.3019284

Abstract

The rapid iterative development of information technology, computer technology and Internet of things technology promotes the construction of smart city, and the related concepts of smart city gradually move from theory to practice. As an important part of the development of smart city, the intelligent lighting and intelligent control of urban lighting system become increasingly urgent with the development of the latest Internet of things technology and video image processing technology. Based on the current Internet of things data communication and related processing technology as the background, this article constructs the overall control model of smart city lighting system, including GPRS wireless transmission technology and ZigBee technology. In the core algorithm, this article innovatively presents an improved video image processing technology based on Gaussian mixture algorithm, which mainly describes the background of a specific scene in multi-dimensional model, so as to improve the reliability of the whole scene judgment. At the level of noise suppression, the video image processing algorithm proposed in this article designs interference noise suppression technology based on the principle of mean filtering, so as to achieve the accuracy and integrity of urban traffic scene extraction. In order to solve the security problems of the whole video image processing technology in information extraction, storage and analysis, this article adds the electromagnetic information leakage prevention algorithm in the video image processing technology, which mainly processes the video image at the source, so as to reduce the electromagnetic radiation of the overall information. Based on this, this article completed the construction of the software and hardware of the city intelligent lighting system. On this basis, the software and hardware construction of urban intelligent lighting system is completed. At the same time, the experiment was carried out in a small-scale scene of a city. The experimental results show that the intelligent urban lighting system based on video image processing technology is feasible and can achieve the desired effect. At the same time, the lighting energy consumption level can be reduced by about 30%, and the corresponding failure rate can be reduced by about 30%.

Highlights

Smart city refers to the city intelligent, energy-saving, its main purpose is to facilitate people’s better life, while promoting the development of city more efficient environmental protection
In terms of the construction of smart lighting system, France, as the first country to operate smart lighting system, uses power carrier technology and GPRS wireless communication technology to control the lighting equipment of each node in the city, and its corresponding lighting system reflects a certain degree of intelligence [19]–[21]; related countries in Eastern Europe adopt a large number of LED lighting technology in the design of smart city lighting system At the same time, solar panels, remote infrared cameras and wireless transmission technology are widely integrated into the corresponding lighting systems
In the aspect of noise suppression, the video image processing algorithm proposed in this article designs interference noise suppression technology based on the principle of image mean filtering, so as to achieve the accuracy and integrity of urban traffic scene extraction

Summary

INTRODUCTION

Smart city refers to the city intelligent, energy-saving, its main purpose is to facilitate people’s better life, while promoting the development of city more efficient environmental protection. In terms of the construction of smart lighting system, France, as the first country to operate smart lighting system, uses power carrier technology and GPRS wireless communication technology to control the lighting equipment of each node in the city, and its corresponding lighting system reflects a certain degree of intelligence [19]–[21]; related countries in Eastern Europe adopt a large number of LED lighting technology in the design of smart city lighting system At the same time, solar panels, remote infrared cameras and wireless transmission technology are widely integrated into the corresponding lighting systems In this context, the corresponding lighting systems realize energy conservation and reuse of lighting equipment, and realize the maximum integration of resources [22]–[24]. It can be seen from the figure that the corresponding core algorithm in this article is mainly concentrated on terminal processing equipment, and the corresponding processing equipment is such as centralized controller of various scenes and data processing and analysis server of various scenes

SCENE PROCESSING TECHNOLOGY BASED ON GAUSSIAN MIXTURE ALGORITHM

A Software Design

VALIDATION ANALYSIS

Findings

CONCLUSION