基于大数据的城市空气质量数据分析系统的设计与实现

Design and Implementation of Urban Air Quality DataAnalysis System Based on Big DataAbstractThe air quality in cities is closely related to our lives,and even affects our physicalhealth and quality of life.However,China is currently in a period of rapid socio-economicdevelopment,with the continuous increase in exhaust emissions from urban transportation andindustrial production,as well as a significant increase in toxic gases and solid pollutants suchas carbon monoxide and sulfur dioxide,seriously affecting people's normal lives.According tosurvey data analysis,the number of people infected with respiratory diseases in China hasgradually increased every year,and it has been found that the harm caused by air pollution tothe human body is mainly reflected in the harm to the respiratory system,which may triggerasthma,chronic obstructive pulmonary disease,and so on.Therefore,in order to effectivelyreduce air pollution and prevent adverse effects caused by air pollution,we need to analyze thedata of urban air quality.The relevant research data of this paper is sourced from the air quality informationwebsite in China.By consulting a large number of relevant literature,the factors that have thegreatest impact on urban air quality were selected.Python was used to crawl the networkinformation of some popular cities'data,thus obtaining air quality related data from the city inrecent years,including parameters such as carbon monoxide concentration and sulfur dioxideconcentration.Then perform data cleaning and formatting preprocessing on the data,and savethe data to the database.Simultaneously use pandas and Numpy third-party libraries to analyzeand process data.The highlight of this article is the use of arima time series modelingalgorithm to predict future temperature trends.Users can predict the trend of urbantemperature changes over a period of time by inputting cities and start and end dates.Thissystem uses Flask to build backend services,bootstrap+echarts front-end renderingvisualization,and visually displays data.Key words:Internet worm,Data analysis,Air quality prediction,Datavisualization