Research On Self Cleaning Smart City Street Lighting Design Based On Internet Of Things Technology

With the rapid development of new technology and social economic level,people’s requirements for living environment and quality of life are constantly improving.People in the 5g era are speeding up the development of life style in all aspects,such as clothing,food,housing and transportation,towards intelligence,automation and personalization.The concept of smart city has a long history,has become a new direction and mode of modern city development,and also further promotes development of modern city.With the coming of 5g era,smart city is becoming a reality and showing a vigorous development situation.At present,most of the research in the field of smart city focuses on smart transportation,public service,ecological environment protection,logistics and transportation,while the research on the intelligent upgrading of existing hardware facilities in the city is relatively scarce.As one of the most extensive public facilities in urban construction,urban street lamp should be improved and optimized in the direction of automation,green and multi-functional.The purpose of this paper is to provide a design idea and scheme of smart city street lighting and its control system interface,so that the city street lamp can realize remote control,automatic cleaning,data collection,fault reporting and other functions.Firstly,this paper summarizes the latest research results in the field of smart city,analyzes the existing problems and deficiencies of urban street lighting,and explores the relevant factors that affect the cleaning,operation and management of street lighting.Under the guidance of green design and sustainable design theory,the design elements of smart city street lighting will brush from the aspects of modeling,structure and materials,and the design framework of street light based on user demand scenario will constructe.Secondly,through questionnaire survey and interviews,we can get insight into the demand information of citizens for smart city lamps,introduce the quantitative experimental method of perceptual engineering,and establish specific target user groups in typical scenes and different scenes.In the design of questionnaire,Likert scale and semantic difference method are used to mark the options in the questionnaire and obtain the scores of each item,analyze the cognitive characteristics of the target users.Combined with the results of theoretical research and user research,the author tries to put forward the design principles of intelligent city street lamp system based on Internet of things technology,and constructs corresponding strategies for user demand scenario,so as to provide guidance for the later practice.Finally,based on the above research,the author has completed a set of optimized design scheme of smart city street lamp.Through structural design and other ways,the function of automatic cleaning of urban street lamp is given.Taking mobile application and smart scene panel as the design carrier,the smart city street lamp,which is characterized by real-time status display,remote control,environmental monitoring and active warning,is completed Design of control interface.