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Haze prediction method based on global attention mechanism

A prediction method and attention technology, applied in prediction, neural learning methods, data processing applications, etc., can solve the problems of long network information transmission distance and difficulty in obtaining effective information

Active Publication Date: 2021-03-30
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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Problems solved by technology

[0005] The purpose of the present invention is to solve the technical problem that the network information transmission distance is too long in the smog prediction task, which makes it difficult to obtain effective information, and proposes a smog prediction method based on the global attention mechanism

Method used

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  • Haze prediction method based on global attention mechanism
  • Haze prediction method based on global attention mechanism
  • Haze prediction method based on global attention mechanism

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Embodiment

[0060] A haze prediction method based on a global attention mechanism, such as figure 1 shown, including the following steps:

[0061] Step 1: Obtain the haze data of environmental monitoring points.

[0062] The data of 1,600 environmental monitoring points in various cities across the country from February 10, 2019 to April 23, 2019 were obtained using the Beautiful Soup library in the Python language. Each data point includes monitoring point name, time, air quality index AQI, air quality index category, primary pollutants, PM2.5 fine particles, PM10 inhalable particles, carbon monoxide, nitrogen dioxide, ozone 1 hour average, ozone 8 hours Average, twelve monitoring data of sulfur dioxide. Each city has data from multiple environmental monitoring points.

[0063] In this embodiment, the environmental monitoring points in Beijing are used for illustration. Environmental monitoring points in Beijing include Beijing Wanshou West Palace, Beijing Dongsi, Beijing Temple of H...

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Abstract

The invention relates to a haze prediction method based on a global attention mechanism, and belongs to the technical field of artificial intelligence information prediction. The method comprises thefollowing steps: firstly, acquiring haze data of an environment monitoring point, processing the acquired haze data, training a haze prediction model based on a global attention mechanism, and outputting a final prediction result by using the haze prediction model. In a haze prediction task, a global attention mechanism is introduced, different influence factors are endowed with different weights,and the problem that the information transmission distance is too long is effectively solved. A bidirectional gating recurrent neural network is introduced, the influence of previous moment data in training data on subsequent moment data is introduced, the association of the subsequent moment data and the previous moment data is analyzed, the problem of long-term dependence in haze prediction data is solved, and the haze data at the future moment can be accurately predicted. The method has good expansibility, the network structure can be dynamically changed according to the data characteristics of different regions, and the haze prediction method suitable for the local region is obtained.

Description

technical field [0001] The invention relates to a haze prediction method based on a global attention mechanism, and belongs to the technical field of artificial intelligence information prediction. Background technique [0002] Smog is one of the important factors affecting air pollution. Haze has the characteristics of regional transmission. The haze generated in one region will be transmitted to other regions, and the regional transmission of haze is related to time. The haze data of multiple moments in the past are related to the haze data of future moments. Therefore, the environmental quality of each region in the future can be predicted by using the data of environmental monitoring points in various periods in each region. [0003] In 2005, in the document "A neural network forecast for daily average PM10concentrations in Belgium" (Atmospheric Environment, 2005), Hooyberghs and Mensink et al., based on the measurement results of ten monitoring points in Belgium during...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/08G06N3/04
CPCG06Q10/04G06N3/08G06N3/084G06N3/044G06N3/045
Inventor 薛晓军张春霞彭成牛振东薛涛鹿旸
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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