Online Learning Platform for Air Environment Detection and Career Planning Based on 5G Network

Abstract

With the faster and faster economic and social development, environmental problems will gradually become prominent. At the same time, mobile learning is receiving more and more attention from trainers, and mobile learning is bound to become an important and effective means for corporate training. Based on the 5G network, this paper conducts research and analysis on the air environment detection and career planning online learning platform. This article first introduces the atmospheric environment monitoring system based on 5G wireless sensor network, analyzes the gray GM(1, 1) model modeling to better predict air quality, and gives the model programming the basic idea. Gray system theory model, also known as gray model or gray dynamic model, is referred to as GM model. The most typical of them is the gray model GM(1, 1). Subsequently, the air environment quality in City A was tested and predicted, and at the same time, the overall status of the career planning of college students was analyzed and discussed. The results of the study show that, in the forecast of the air quality in City A, it is found that the air quality in City A from 2021 to 2025 is still not optimistic. Among them, the annual average value of PM10 shows a downward trend; the annual average value of SO2 fluctuates greatly, and the annual average value of NO2 is on the rise compared with 2020 and will reach 0.045 mg/m3 in 2025. Therefore, City A still needs to take practical measures to control air quality. The results of the analysis of the overall status of career planning show that in the process of cultivating career planning ability and stimulating learning motivation, it is also necessary to pay attention to the cultivation of social responsibility and dedication.