Gridding atmospheric pollution emergency mobile monitoring system

Abstract

The invention relates to a gridding atmospheric pollution emergency mobile monitoring system. The system comprises a plurality of fixed monitoring systems and a plurality of mobile monitoring systems,the mobile monitoring systems comprise unmanned aerial vehicles, each unmanned aerial vehicle is in communication connection with a ground control station, and each unmanned aerial vehicle is provided with an environment monitoring sensor, a video monitoring terminal, a communication module, an air megaphone module and a data transmission module; the ground control station is in communication connection with a cloud platform, and the cloud platform is in communication connection with a mobile terminal, a large control screen and a command center. Gridding emergency mobile monitoring is carried out by utilizing an unmanned aerial vehicle group, a skynet for monitoring air can be formed, acquired data and data acquired by an existing fixed monitoring station can be superposed, compared andanalyzed to generate a space-time dynamic trend chart, a pollution source is supervised to a great extent, early warning and analysis can be performed, and reasonable and effective emergency plans andresponse measures can be taken in time.

Description

technical field [0001] The invention relates to the technical field of environmental monitoring, in particular to a gridded air pollution emergency mobile monitoring system. Background technique [0002] The increasingly complex air pollution situation is posing challenges to the traditional air pollution source monitoring methods. The currently implemented ambient air national control point monitoring system has a limited number of monitoring points and high costs. The goal of refined management and control, and it is impossible to realize the in-depth mining of the capabilities of the monitoring system, such as temporal and spatial dynamic trend analysis, pollution reduction assessment, pollution source tracking, and environmental early warning and forecasting. [0003] According to the requirements of the National Office of the Environment on the construction of the ecological environment monitoring network, the construction of a grid-based environmental monitoring system...

AI Technical Summary

Problems solved by technology

[0006] The existing emergency mobile monitoring method is to use mobile monitoring vehicles to monitor air pollution, which has many disadvantages

Part of the three-dimensional mobile monitoring method using vehicles + UAVs is only fixed-point monitoring of fixed pollution sources, which cannot achieve full coverage and high spatial-temporal resolution air pollution monitoring in a certain area, and cannot combine the application of information-based big data to track pollution sources. , early warning and forecasting, and other functions, it is impossible to generate a time-space dynamic trend map to obtain high-density and high-frequency atmospheric particulate matter concentration monitoring data in the whole region

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