Air pollutant concentration prediction method and device and electronic equipment

Abstract

The invention relates to the technical field of environment monitoring, in particular to an air pollutant concentration prediction method and device and electronic equipment. The air pollutant concentration prediction method comprises the steps of obtaining first position information of a target prediction station and a prediction time period of air pollutant concentration; Acquiring second position information of a plurality of air detection stations adjacent to the target prediction station, historical air pollutant concentration and acquisition time of the historical air pollutant concentration according to the first position information; And predicting the air pollutant concentration of the target prediction station in the prediction time period according to the second position information, the historical air pollutant concentration and the collection time. The scheme provided by the invention relates to a neural network algorithm for establishing a prediction model, and the schemeis beneficial to improving the accuracy of data prediction and reducing prediction errors.

Description

technical field [0001] The present application relates to the technical field of environmental monitoring, in particular, the present application relates to a method and device for predicting the concentration of air pollutants, and electronic equipment. Background technique [0002] With the development of society, factories and motor vehicles continue to increase, many environmental problems arise, and the problem of air pollution is becoming more and more serious. People need to predict the accurate situation of air pollutants in a certain area in order to make reasonable planning according to the situation of air pollutants. [0003] Existing technologies are generally aimed at a single detection site to predict air pollutants from a single dimension of time or space. The detection of air pollutants by air quality detection stations is affected by multiple factors, such as: air pollutant concentration, weather conditions etc. Therefore, for a detection point, the air qua...

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Problems solved by technology

[0003] Existing technologies are generally aimed at a single detection site to predict air pollutants from a single dimension of time or space. The detection of air pollutants by air quality detection stations is affected by multiple factors, such as: air pollutant concentration, weather conditions etc. Therefore, for a detection point, the air quality of the nearby area will have an impact on the detection results, and the detection information of the distribution of air pollutants at a single detection site cannot cover the air quality of the nearby area, resulting in the prediction results. There is a large error between the actual situation and the

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