Greenhouse gas monitoring method based on artificial intelligence and related equipment

A greenhouse gas and artificial intelligence technology, applied in the field of artificial intelligence, can solve the problems of low reliability of monitoring data and inability to achieve accurate greenhouse gas monitoring, and achieve the effect of ensuring accuracy, precise monitoring, and ensuring real-time performance.

Pending Publication Date: 2022-07-22
PINGAN INT SMART CITY TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, greenhouse gas sensors are usually used to detect real-time greenhouse gas concentration data at different heights in the target area by using fixed observation stations or mobile observation stations on the ground. Data reliability is low, and accurate monitoring of greenhouse gases in the target area cannot be achieved

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  • Greenhouse gas monitoring method based on artificial intelligence and related equipment
  • Greenhouse gas monitoring method based on artificial intelligence and related equipment
  • Greenhouse gas monitoring method based on artificial intelligence and related equipment

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Embodiment Construction

[0058] In order to more clearly understand the purpose, features and advantages of the present application, the present application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features of the embodiments may be combined with each other unless there is conflict. Many specific details are set forth in the following description to facilitate a full understanding of the present application, and the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments.

[0059] In addition, the terms "first" and "second" are only used for descriptive purposes, and should not be construed as indicating or implying relative importance or implying the number of indicated technical features. Thus, features defined as "first", "second" may expressly or implicitly include one or more of said features. In the ...

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Abstract

The invention provides a greenhouse gas monitoring method and device based on artificial intelligence, electronic equipment and a storage medium. The greenhouse gas monitoring method based on artificial intelligence comprises the following steps: collecting concentration values of different greenhouse gases at different elevation values of a plurality of observation points to obtain observation data of the observation points; constructing observation vectors of all greenhouse gases at each observation point according to the observation data, and taking the observation vectors of the same kind of greenhouse gases as an observation matrix of the greenhouse gases; calculating the spatial distribution characteristics of each greenhouse gas based on the observation matrix, and making a flight monitoring scheme to collect the concentration value of each greenhouse gas to obtain greenhouse gas data; and monitoring spatial distribution characteristics of the greenhouse gases to obtain abnormal greenhouse gases, and formulating a new flight monitoring scheme to update greenhouse gas data. According to the invention, the flight monitoring scheme can be formulated in a targeted manner to ensure the accuracy of the greenhouse gas data, the spatial distribution of the greenhouse gas is monitored, the greenhouse gas data is updated in time, and precise monitoring of the greenhouse gas is realized.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular, to an artificial intelligence-based greenhouse gas monitoring method, device, electronic device, and storage medium. Background technique [0002] Greenhouse gas monitoring refers to a carbon monitoring method that monitors the emissions of various greenhouse gases such as carbon dioxide, methane, nitrous oxide, hydrofluorocarbons, perfluorocarbons, and sulfur hexafluoride. It is also an important guarantee for comprehensively grasping greenhouse gas emissions and their environmental and climate effects, and predicting their future changes. [0003] At present, greenhouse gas sensors are usually used to detect the greenhouse gas concentration data at different heights in the target area in real time by using ground-based fixed observation stations or mobile observation stations. The reliability of the data is low, and the accurate monitoring of greenh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00
CPCG01N33/0031
Inventor 李镐炜
Owner PINGAN INT SMART CITY TECH CO LTD
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