Abstract
This article first studies the image recognition method and some of its current problems and promotes the comparison and selection of existing image recognition algorithms. The article introduces in detail the training principle and process of the restricted Boltzmann machine and the combination of the restricted Boltzmann machine. Based on this point, this paper selects the NO2, SO2, CO, PM2.5, PM10, and other air pollution data of 161 prefecture-level cities monitored by the Ministry of Environment in 2020 and compares the data of 161 prefecture-level cities in 2020. The urban air quality reaches the level to be tested. Analyze air pollution status and detection methods and seasonal and monthly characteristics of pollution (or annual air pollution change characteristics), as well as comparative analysis between regions and differences in air pollution detection between different cities, explaining the impacts on air pollution in different regions of China. This is the main reason for the change. Finally, this article investigates and studies the epidemiological nature and risk factors of measles in S city and the impact of immune effects on measles prevention, to determine the distribution and characteristics of measles in S city, analyze disease risks, and take preventive measures to prevent more reasonably and control measles. Prior to this, a plan was made to provide a reasonable theoretical basis. At the same time, measles antibody testing and related research will be conducted on some healthy permanent residents in city S to understand the immune effect of the floating population and the factors affecting the immune effect, so as to further strengthen the epidemic prevention of the floating population, which laid the foundation for the work of crowd vaccination. This article has realized the rapid development of measles prevention technology by evaluating the effectiveness of measles prevention and resistance based on image recognition and application of air pollution detection results.
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