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Smart city industrial air pollution visualized early warning method, and system

An industrial and urban technology, applied in the direction of prediction and analysis of gas mixtures, instruments, etc., can solve problems such as single means, single data source, and difficult to achieve effective prediction of atmospheric pollutant concentration

Active Publication Date: 2019-10-18
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] However, the current early warning means are single, and the source of the early warning data is the data source of the fixed air quality monitoring station. It is difficult to effectively predict the concentration of air pollutants

Method used

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  • Smart city industrial air pollution visualized early warning method, and system
  • Smart city industrial air pollution visualized early warning method, and system
  • Smart city industrial air pollution visualized early warning method, and system

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Embodiment Construction

[0082] like figure 1 Shown is the method schematic flow diagram of the method of the present invention: this smart city industrial air pollution visualization early warning method provided by the present invention comprises the following steps:

[0083] S1. Randomly move and monitor in the monitoring industrial area, obtain the location data information of the monitoring point, the air data of the monitoring point and the basic data information of the monitoring industrial area; specifically, the air quality monitoring vehicle is used to monitor the industrial area in a mobile way Randomly move the area, and collect the mobile air quality data of the location of the air quality monitoring vehicle, and record the location information of the air quality monitoring vehicle when collecting the mobile air quality data, and record the location information of the air quality monitoring station in the monitoring industrial area and the fixed Air quality data; simultaneously obtain rea...

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Abstract

The invention discloses a smart city industrial air pollution visualized early warning method, comprising the steps of: obtaining position data information of monitoring points, air data of the monitoring points and basic data information of monitoring industrial areas; extracting relative position information features; selecting optimal air quality monitoring stations and optimal industrial discharge points; constructing an air pollutant prediction model; constructing and correcting a pollutant concentration prediction model of any monitoring point; and performing visualized early warning onair pollution emissions of the monitoring industrial areas. The invention further discloses a system for realizing the smart city industrial air pollution visualized early warning method. By adoptingthe smart city industrial air pollution visualized early warning method disclosed by the invention, real-time prediction and early warning can be performed on real-time dynamic industrial air pollution emissions at any point in the monitoring industrial areas, and furthermore, the method disclosed by the invention is high in reliability and good in practicability.

Description

technical field [0001] The invention specifically relates to a visual early warning method and system for industrial air pollution in a smart city. Background technique [0002] With the development of economy and technology, the process of urbanization in our country is getting faster and faster, and the number of industrial zones in cities is also increasing. With the development of urbanization, people are paying more and more attention to environmental issues. [0003] With the increase of industrial areas in the city, the problem of air pollution emissions in industrial areas has always been one of the core issues of the city. to SO 2 , nitrogen oxides, inhalable particulate matter, CO, and ozone-based air pollutants have brought a huge impact on people's living environment. [0004] When analyzing and predicting air pollutants in industrial areas, existing studies often ignore the impact of major industrial emission points on surrounding air quality. When predictin...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00G06Q10/04G06Q50/26
CPCG01N33/0004G06Q10/04G06Q50/26
Inventor 刘辉刘泽宇熊小慧
Owner CENT SOUTH UNIV
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