Atmospheric environment monitoring quality monitoring method based on sliding window anomaly detection and computing equipment

Abstract

The invention relates to an atmospheric environment monitoring quality monitoring method based on sliding window anomaly detection and computing equipment. The monitoring method comprises the steps of (1) enabling a server side to send a request command; (2) carrying out data preprocessing; (3) calculating correlation coefficients among different stations, and adjusting the position of each station; (4) calculating a mean value and a variance of pollutant concentrations in a window through a 5 * 5 correlation sliding window; (5) calculating an abnormal factor, and positioning abnormal data; (6) comparing the product of the variance and the LOF abnormal value with a threshold value to monitor abnormal data; and (7) returning a quality monitoring result to the server side. According to the method, the relevance of monitoring sites and pollution time is considered, a sliding window and a relevance coefficient are used for constraint and operation, and abnormal data are monitored by adopting a product of variance and an LOF abnormal value, so that the abnormal data quality problem caused by atmospheric environment monitoring substances such as SO2, NO2, O3, CO, PM10 and PM2.5 monitored and collected by an instrument is solved.

Description

technical field [0001] The invention belongs to the field of quality control of atmospheric environment monitoring substances, in particular to an atmospheric environment monitoring quality monitoring method and computing equipment based on sliding window anomaly detection. Background technique [0002] At present, with the acceleration of urbanization and the rapid development of industry, the aggravation of vehicle exhaust emissions leads to excessive sulfur dioxide concentration, excessive air suspended particle concentration and smog weather. Accurate environmental pollution indicators are needed to guide these problems, attract people's attention by visually showing the changes in the pollution process, and provide basis and direction guidance for local pollution control. [0003] At present, the detection of ambient air quality is mainly through instrument monitoring, and the deviation of instrument accuracy will affect the concentration deviation of atmospheric enviro...

AI Technical Summary

Problems solved by technology

At present, with the acceleration of urbanization and the rapid development of industry, there are problems such as the increase of vehicle exhaust emissions, which lead to excessive sulfur dioxide concentration, excessive air suspended particle concentration and smog weather.

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