Method, device, equipment and medium for processing air pollution detection data

Abstract

The application discloses a processing method, device, equipment and medium for atmospheric environment pollution detection data. The method includes: performing filtering and denoising processing on the detection data; sampling the detection data after filtering and denoising processing to obtain a number of data points; making corresponding first detection data and time relationship curves for all data points; , through the abnormal data point judging method, judge whether each data point on the first detection data and time relationship graph is an abnormal data point sequentially from the second data point, and remove the abnormal data points to obtain the second detection data and time relationship curve Figure: Use the second detection data and time relationship graph to judge whether the real-time data point is an abnormal data point; if so, perform an alarm operation. The method of the present application achieves a good denoising effect by performing filtering and denoising processing on the detection data, avoids the influence of noise on the detection result, and improves the accuracy of the detection data.

Description

technical field [0001] The present application relates to the technical field of environmental monitoring, in particular to a method, device, equipment and medium for processing atmospheric environmental pollution detection data. Background technique [0002] Miniature air monitoring stations are increasingly used in environmental monitoring and management. The overall trend of the detection data is consistent with the data obtained by standard monitoring methods, so it has certain usability. The high-frequency detection data of miniature air monitoring stations can be mainly used in the exploration of pollution sources. The emission activities of air pollutant emission sources have the characteristics of suddenness and persistence. [0003] In recent years, limited by various inconvenient factors of the national standard monitoring method equipment of the six parameters of air quality (PM2.5, PM10, SO2, NO2, O3, CO), the sensor-based air quality micro-monitoring station (he...

AI Technical Summary

Problems solved by technology

This method has high requirements for data quality, which obviously cannot be met by miniature air monitoring stations; moreover, this method is not suitable for monitoring the surrounding environment of pollution sources

In addition, some manufacturers use the global alarm method, that is, to initiate different levels of alarms based on the range of the average value and difference between the results of a certain point and other similar N points, but the global alarm method has higher requirements for the distance between points. , there are more false alarms between long-distance points

Images