RETRACTED ARTICLE: Prediction of PM2.5 concentration in ambient air and safety of sports training based on Android dynamic monitoring

Abstract

This paper presents a dynamic monitoring solution for Android. It is not invasive and can be deployed quickly. It also uses plug-in technology to create a host application with monitoring behavior. The application can run as a plug-in and monitor the behavior of host app, so as to load the host app monitored by the host application. Based on this, based on the data of PM2.5 concentration in w City from 2018 to 2020, the paper analyzes the time distribution characteristics and obtains its statistical characteristics, such as the highest average of PM2.5 concentration in summer and winter, and concludes that the conclusion is the lowest in summer and the highest in winter. Secondly, the relationship between PM2.5 concentration and other air pollutants and meteorological factors around the environment is studied by the theory of correlation stepwise regression analysis. Finally, the paper makes a systematic study on the safety of sports training of young female athletes in S Province. Nowadays, in S Province, there are few research literature on the safety of young women athletes in sports training. Therefore, the research test combines literature data method and other research methods to conduct descriptive epidemiological investigation on the safety of sports training. The author puts forward the conclusion countermeasures by taking the research of the avoidance behavior into consideration, which is to say, according to the athletes’ technical level, injury, and other factors, and strengthen the application of multimedia teaching, increase interactive teaching discussion, stimulate the interest of athletes’ learning, and improve the influence of tactical learning. In this paper, PM2.5 concentration data based on Android dynamic monitoring is applied to the research of sports training security, so as to promote the development of sports training security research.