Region tail gas migration prediction method and system based on domain adaptation and storage medium

Abstract

The invention discloses a region tail gas migration prediction method and system based on domain adaptation and a storage medium. The method comprises the steps: obtaining and processing historical tail gas data and external factor data of a source region and a target region, taking monitoring points as nodes for the source region data and the target region data, and enabling the source region data and the target region data to be connected pairwise; constructing graph structure data by taking the weight as the reciprocal of the monitoring point distance, and dividing a time sequence set according to the tail gas concentration change characteristics of the source region and the target region; constructing a tail gas spatio-temporal feature extraction module, and performing shallow feature extraction and fusion on the time sequence data of the source region and the target region; constructing an automatic encoder, and utilizing the encoder to non-linearly map shallow spatio-temporal features of the source domain and the target domain belonging to different feature spaces to the same feature space; performing depth extraction on the shallow layer features, and outputting a prediction result. According to the method, efficient utilization of the source domain data is realized by utilizing the domain adaptation method, so that higher-precision regional tail gas prediction of the target domain lacking data is realized.

Description

Technical field [0001] The present invention relates to the field of regional exhaust gas pollution prediction techniques in the field of environmental detection, and in particular, there is a domain-based regional exhaust gas migration prediction method, system, and storage medium. Background technique [0002] In recent years, the government has paid more and more attention to motor vehicle exhaust pollution, and the prediction and real-time estimation of motor vehicle exhaust pollution can effectively assist the government's governance of motor vehicle exhaust gas pollution and related policies. Since the traffic flow has the characteristics of spatial correlation and time-dependent, the exhaust gas and traffic flow are often strong, so that the motor vehicle exhaust gas is also affected by the concentration of the adjacent region and the concentration of the region of the region. At the same time, the exhaust gas concentration is also vulnerable to external conditions such as...

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Problems solved by technology

[0004] A method, system and storage medium for predicting regional tail gas migration based on domain adaptation proposed by the

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