An intelligent air pollution monitoring system based on big data

Abstract

The present invention provides an air pollution intelligent monitoring system based on big data, comprising a plurality of air quality monitoring devices and a big data processing center, each air quality monitoring device is connected to the big data processing center, and each air quality monitoring device uses It is used to collect air pollution parameters of multiple air pollution monitoring nodes in an air pollution monitoring area; the big data processing center is used to process and analyze the collected air pollution parameters to realize real-time monitoring of air pollution; the big data processing center includes data A preprocessing unit, a data clustering processing unit, an outlier detection unit, and a database.

Description

technical field [0001] The invention relates to the technical field of air pollution monitoring, in particular to an air pollution intelligent monitoring system based on big data. Background technique [0002] Among related technologies, the methods for urban air pollution monitoring mainly include: [0003] (1) The traditional method, that is, the method of manual sampling laboratory analysis. This method can only obtain the monitoring value within a certain period of time in the air pollution monitoring area, and cannot perform real-time monitoring. The monitoring results are greatly affected by human beings. the physical health of personnel; [0004] (2) The current popular online monitoring mostly uses imported automatic air environment monitoring equipment for monitoring. Although this monitoring method can achieve real-time monitoring, the equipment used is complex in structure, expensive, difficult to maintain, and has high operating costs. Its working environment ...

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Problems solved by technology

[0003] (1) The traditional method, that is, the method of manual sampling laboratory analysis

This method can only obtain the monitoring value within a certain period of time in the air pollution monitoring area, and cannot perform real-time monitoring. The monitoring results are greatly affected by human beings. the physical health of personnel;

[0004] (2) The current popular online monitoring mostly uses imported automatic air environment monitoring equipment for monitoring. Although this monitoring method can achieve real-time monitoring, the equipment used is complex in structure, expensive, difficult to maintain, and has high operating costs. Its working environment is harsh

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