Cloud platform intelligent auxiliary calibration algorithm applied to gridding air quality monitoring system

Abstract

The invention relates to the field of atmospheric environment air quality monitoring, in particular to a cloud platform intelligent auxiliary calibration algorithm applied to a gridding air quality monitoring system, and the algorithm comprises the following steps: historical data acquisition: selecting a plurality of monitoring devices near to-be-calibrated devices as reference devices through a cloud platform, meanwhile, historical data of the reference equipment within 7 days are called; counting background concentration, using probability statistics to count a pollutant concentration probability density function of the reference equipment every 3 hours within 7 days, selecting the concentration with the maximum occurrence probability as the background concentration of the equipment, and calculating the background concentration probability variance of the reference equipment within the same time; and selecting proper pollutant concentration according to the concentration probability variance to establish a regional background concentration set within 7 days. The method is a calibration scheme supported by data fusion, has the advantages of being simple in process, accurate, reliable and capable of being deeply fused with a cloud platform, and can save a large amount of manpower and material resource cost.

Description

technical field [0001] The invention relates to the technical field of air quality monitoring, in particular to a cloud platform intelligent auxiliary calibration algorithm applied to a gridded air quality monitoring system. Background technique [0002] With the rapid development of my country's economy and the continuous improvement of the level of urbanization, the structure of air pollution sources has undergone major changes. The main body of pollution has changed from large and medium-sized fixed pollution sources to mobile sources and living sources. The existing environmental supervision focuses on fixed pollution sources. Atmospheric environmental monitoring relies on expensive national control stations, which are far from being able to meet the increasingly heavy environmental management and fine-grained law enforcement supervision under the new situation. Therefore, a gridded ambient air monitoring system with low cost, convenient installation and sustainable dynam...

AI Technical Summary

Problems solved by technology

However, due to the influence of many factors such as physical and chemical characteristics, cross-interference, service life and working environment of the micro-sensor, the correlation between the output result and the actual air quality data is poor, and it cannot provide a theoretical basis for the scientific control and governance of the regional atmosphere.

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