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Method and system for estimating atmospheric pollutant emission based on economic big data

A technology for air pollutants and pollutant emissions, applied in the field of pollutant prediction, to reduce monitoring costs and improve accuracy

Inactive Publication Date: 2022-02-08
BEIJING INSIGHTS VALUE TECHNOLOGY CO LTD
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  • Application Information

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Problems solved by technology

[0004] This patent is proposed based on the above-mentioned needs of the existing technology. The technical problem to be solved by this patent is to provide a method and system for estimating air pollutant emissions based on economic big data, and to monitor pollutant emission data in a predictive way to reduce or Eliminate monitoring failures caused by human interference

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  • Method and system for estimating atmospheric pollutant emission based on economic big data
  • Method and system for estimating atmospheric pollutant emission based on economic big data
  • Method and system for estimating atmospheric pollutant emission based on economic big data

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Embodiment 1

[0028] This embodiment provides a method for predicting air pollutant emissions based on economic big data.

[0029] Methods for predicting air pollutant emissions based on economic big data include:

[0030] S1 obtains economic data, pollutant satellite data and pollutant discharge data.

[0031] The pollutant satellite data includes pollutant satellite column concentration data.

[0032] The economic data, the pollutant concentration discharge data, and the pollutant satellite column concentration data are data in the same region and in the same time period, and the three correspond one-to-one.

[0033] Classified by time, the economic data includes historical economic data and the latest economic data, and the pollutant satellite column concentration data in the satellite remote sensing data includes historical pollutant satellite column concentration data and the latest pollutant satellite column concentration data Concentration data, due to the difficulty in obtaining t...

Embodiment 2

[0076] This embodiment provides a system for predicting air pollutant emissions based on economic big data.

[0077] The system for predicting air pollutant emissions based on economic big data includes a data acquisition module, a first prediction module, a second prediction module and a third prediction module.

[0078] The data acquisition module acquires economic data, pollutant satellite data and pollutant discharge data. The pollutant satellite data includes pollutant satellite column concentration data in satellite remote sensing data.

[0079] The economic data, the pollutant concentration discharge data, and the pollutant satellite column concentration data are data in the same region and in the same time period, and the three correspond one-to-one.

[0080] Classified by time, the economic data includes historical economic data and the latest economic data, and the pollutant satellite column concentration data in the satellite remote sensing data includes historical...

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Abstract

The invention relates to the field of pollutant prediction, in particular to a method and system for estimating atmospheric pollutant emission based on economic big data. The method comprises the steps of obtaining first prediction data through a first prediction algorithm based on economic data; calculating through a second prediction algorithm based on the pollutant satellite data to obtain second prediction data; determining pollutant emission prediction data according to the first prediction data and the second prediction data, wherein the first prediction algorithm comprises a neural network algorithm obtained by training historical economic data and historical pollutant emission data; and the second prediction algorithm comprises a prediction algorithm obtained through regression analysis of historical pollutant satellite data and pollutant emission statistical data. According to the method and system, pollutant emission data is monitored in a prediction mode, and the situation of monitoring failure caused by human factor interference is reduced or eradicated.

Description

technical field [0001] This patent relates to the field of pollutant prediction, specifically to a method and system for estimating air pollutant emissions based on economic big data. Background technique [0002] At present, the monitoring of air pollutant emissions at home and abroad is mainly to install a variety of different sensors in each link, and then collect and analyze multiple parameters of each link. For different pollution-producing enterprises, the pollutant monitoring sensors that need to be placed in each link may be different. By collecting and comparing the data of each sensor to meet the national discharge standards, it is determined whether the pollution control effect of the pollution-producing enterprises meets the standards. [0003] In the prior art, the use of sensors to monitor pollutant emissions has the following problems. The environment of the enterprise's sewage pipes and production links is complex, and it is difficult to install sensors, whic...

Claims

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Application Information

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IPC IPC(8): G06Q50/26G06Q10/04G06N3/08G06K9/62
CPCG06Q50/26G06Q10/04G06N3/084G06F18/214
Inventor 田启明聂乐徐炜达
Owner BEIJING INSIGHTS VALUE TECHNOLOGY CO LTD
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