Big data air quality index information processing system

Abstract

The invention belongs to the technical field of air quality detection, and discloses a big data air quality index information processing system. The big data air quality index information processing system comprises a temperature and humidity detection module, a smoke detection module, an air composition detection module, a single chip microcomputer control module, a data storage module, a cloud service module, an alarm module, and a display module. The cloud service module can greatly improve data analysis and calculation speed remarkably and improve detection efficiency; the smoke detectionmodule first transfers a blank filter membrane to a sampling site, smoke particles are sampled, so that sampled smoke particles are deposited on the blank filter membrane to form a filter membrane sample; the filter membrane sample is transferred to a heavy metal concentration detector; finally, the type and concentration of heavy metals in the smoke particles are obtained through calculation. Thebig data air quality index information processing system realizes batch detection, increases detection data quantity, and can acquire more accurate data.

Description

technical field [0001] The invention belongs to the technical field of air quality detection, and in particular relates to a big data air quality index information processing system. Background technique [0002] The quality of air quality reflects the degree of air pollution, which is judged according to the concentration of pollutants in the air. Air pollution is a complex phenomenon, and the concentration of air pollutants at a specific time and place is affected by many factors. The emission of man-made pollutants from stationary and mobile pollution sources is one of the most important factors affecting air quality, including vehicle, ship, and aircraft exhaust, industrial pollution, residential living and heating, and garbage incineration. Urban development density, topography and weather are also important factors affecting air quality. However, the data processing speed of the existing air quality index information is slow, which affects the detection efficiency; a...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the data processing speed of the existing air quality index information is slow, which affects the detection efficiency; at the same time, the traditional manual sampling method obtains inaccurate detection data

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