Abnormal data detection method and system based on automatic monitoring instruments

Abstract

The invention discloses an abnormal data detection method and system based on automatic monitoring instruments. The method includes the steps that monitoring data of all automatic monitoring instruments is collected; the monitoring data is judged as follows, and the monitoring data is regarded as abnormal data or suspected abnormal data if meeting one of the following conditions that 1, whether the monitoring data is larger than a preset threshold value or smaller than an instrument detection limit is judged; 2, the variance of the same monitoring data collected within a preset period of time is calculated, and whether the variance is 0 or not is judged; 3, the automatic monitoring instruments are divided by region according to the distance and meteorological conditions, statistical processing is carried out on the monitoring data of the automatic monitoring instruments in each region, and abnormal high values and abnormal low values in the monitoring data at the same time point are detected. According to the abnormal data detection method and system based on the automatic monitoring instruments, the methods of a box plot and calculation of the relative change rate are innovatively adopted, automatic screening is carried out in regions, the number of calculation variables is small, and the timeliness and accuracy of air quality data release work are effectively supported.

Description

technical field [0001] The invention relates to the field of atmospheric environment monitoring, in particular to a method and system for detecting abnormal data based on automatic monitoring instruments. Background technique [0002] In order to monitor the quality of the atmospheric environment and better provide air quality information services for the public and the government, various provinces in my country have planned and built an automatic monitoring system for the atmospheric environment. Since the implementation of the new standard, the air quality automatically monitored in various places has been released to the public. People can check real-time air quality information on mobile phones, the Internet, TV and other media. The release of air quality information and health reminders facilitate the lives of the people and protect their health. However, in the air quality release process, it is inevitable that abnormal data will appear in the real-time data released....

AI Technical Summary

Problems solved by technology

However, in the air quality release process, it is inevitable that abnormal data will appear in the real-time data released

In the process of continuous monitoring of monitoring equipment, it is inevitable that due to the failure of instrument components or emergencies at monitoring points, there will be monitoring data that cannot truly reflect the air quality status, that is, abnormal data.

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