Design And Implementation Of Smart Street Lamp System Based On Cloud Platform

Street lights are indispensable in our daily life.Traditional street lamps have the disadvantages of big electric energy loss,high overhaul cost,and unfavorable management.With the fast development of technologies such as the Internet of Things,cloud platform,and multi-target tracking,these technologies can be integrated to achieve smart management of street lights,improve the speed of repair,and reduce power loss.At present,some economically developed cities in my country have used some sensors to automatically control street lights,such as sound sensors,but the sensors used are relatively simple.This thesis studies a series of problems of traditional street lamps.The main research work is as follows:(1)Aiming at the problems of traditional street lamps that it is difficult to collect information and waste resources seriously,this thesis adopts the Internet of Things technology to design street lamps into the network,and devises a smart street lamp system based on cloud terrace.The system can timely,accurately and comprehensively collect relevant information of street lamps,and users can remotely send control instructions to street lamps on site.At the same time,the platform can intelligently control street lamps according to real-time data to reduce energy consumption.(2)Aiming at the problems of complex data protocol and large concurrency of street lamps,this thesis designs the cloud platform in the system based on the modular design idea.Cloud platform is divided into data analysis module,storage module,automatic control module and data visualization module.Each module has its own functions,which reduces the coupling between modules.It can analyze and store the street lamp data quickly and accurately,and can automatically issue control instructions to the street lamps according to the real-time data.The platform can be expanded horizontally conveniently,which can meet the need of uploading data by a large number of devices.(3)Aiming at the problem of high management cost,this thesis designs a web client.Web client development uses UI libraries such as ECarts and Element UI.Users can know the relevant situation of street lamps without going to the site,and can manage lighting lamps on the page,providing fault alarm function and GPS positioning function,speeding up the maintenance speed of maintenance personnel,improving the service capacity of the whole city and reducing the management cost.(4)For the automatic control streetlight part of the system,the camera is used to track the trajectories of pedestrians and vehicles.By comparing several current cutting-edge multi-target tracking algorithms,the Fair MOT algorithm is used to track the trajectories of pedestrians and vehicles,and the number of them is counted,and then combined with the information of other sensors to realize automatic control of street lights.After testing and analysis,the system can realize the automatic control of street lamps according to environmental information and traffic flow,and provide a visual platform to manage street lamps.It can meet the use needs of management and maintenance personnel,and has good application scenarios and market value.