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METHOD AND APPARATUS FOR PREDICTING FINE PARTICULATE MATTER POLLUTION LEVEL, AND COMPUTER DEVICE
METHOD AND APPARATUS FOR PREDICTING FINE PARTICULATE MATTER POLLUTION LEVEL, AND COMPUTER DEVICE
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机译：用于预测细颗粒物质污染水平和计算机设备的方法和装置
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摘要
Disclosed are a method and apparatus for predicting a fine particulate matter pollution level, and a computer device, relating to the field of atmospheric monitoring. A targeted test can be performed on a fine particulate matter pollution level on the basis of real-time environmental data, and the problem of a fine particulate matter analysis result not being accurate enough can be solved. The method comprises: screening out target analysis data, wherein a correlation between same and fine particulate matter complies with a preset criterion (101); creating a fine particulate matter spatial distribution map according to a concentration value of the fine particulate matter within a preset historical time period (102); training a convolutional neural network model on the basis of the target analysis data and the fine particulate matter spatial distribution map (103); and using the trained convolutional neural network model to determine the pollution level of the fine particulate matter within a future preset time period (104). The method is applicable to the prediction of a fine particulate matter pollution level.
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