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Opportunistic group intelligence air quality monitoring and evaluating method based on mobile equipment

A technology of air quality and swarm intelligence, applied in the computer field, can solve the problems of expensive sensors and achieve the effect of cheap form factor

Inactive Publication Date: 2020-04-28
SOUTH CHINA NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, even scaled down sensors are still expensive and large in size for mass deployment embedded on mobile devices

Method used

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  • Opportunistic group intelligence air quality monitoring and evaluating method based on mobile equipment
  • Opportunistic group intelligence air quality monitoring and evaluating method based on mobile equipment
  • Opportunistic group intelligence air quality monitoring and evaluating method based on mobile equipment

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Embodiment Construction

[0028] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0029]Fine particles originate primarily from automobile, truck, bus, and off-road vehicle exhaust (e.g., construction equipment, snowmobiles, locomotives), other operations involving the burning of wood, fuels such as heating oil or coal, and natural sources such as forest and grass fires.

[0030] PM2.5 is the decisive factor of China's air quality. However, due to the high cost of existing commercial detectors, it is difficult to obtain high-precision and wide separate PM2.5 d...

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Abstract

The invention discloses an opportunistic group intelligent air quality monitoring and evaluating method based on mobile equipment. A group sensing system is constructed by using an opportunistic network and comprises a plurality of intelligent devices in the same area. The system is an intermittent connection system; each intelligent device with a gas sensor collects gas data for air quality monitoring, the data are sent to other intelligent devices in the same area in an opportunity multi-hop mode through a mobile repeater, and the air quality in the area is calculated through a differentiation prediction model; the related analysis of the per-hour concentration of PM2.5 and SO2, NO2, O3 is carried out and Spearman correlation analysis is carried out on each group of gas data by using k-Sstatistical test of each group of data to obtain a relationship between the concentration of PM2.5 and the concentrations of SO2, NO2, O3 and CO, and thus gas having the greatest influence on the concentration of PM2.5 is screened out; and then an effective model is constructed according to the Spearman grade correlation between the gas parameters of an air quality monitoring station and PM2.5.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an opportunistic group intelligent air quality monitoring and evaluation method based on mobile equipment. Background technique [0002] With the promotion of industrialization and urbanization in most areas of our country, the social and environmental problems of many cities have gradually begun to be exposed. The environmental problems experienced by developed countries for hundreds of years have also begun to erupt in concentrated areas in my country's economically developed areas. Among them, the smog This issue has always been a hot topic of public opinion from all walks of life. The core pollutant of smog is PM2.5, which refers to the particulate matter in the ambient air with an aerodynamic equivalent diameter of 2.5 microns or less. Huge impact and harm. The chemical composition of PM2.5 mainly includes organic carbon, elemental carbon, nitrate, sulfate, ammoni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N15/06G06F17/18G06K9/62
CPCG01N15/06G06F17/18G06F18/2411G06F18/24147G06F18/24155
Inventor 宋晖潘达儒骆开庆柯峰
Owner SOUTH CHINA NORMAL UNIVERSITY
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