Internet-of-Things air quality micro sensing data quality checking method and equipment thereof

Abstract

The invention provides an internet-of-things air quality micro sensing data quality checking method and equipment thereof. The method mainly comprises the following steps of: setting a preliminary lowthreshold value ymin by using a minimum measured value in a plurality of measured values, and setting a preliminary high threshold value ymax by using a maximum measured value, taking the intercept of the linear regression line obtained according to the plurality of measured values as an estimated value; utilizing the estimated value and the preliminary low threshold value ymin to obtain an adjusted low threshold value y'min; obtaining an adjusted high threshold value y'max according to the estimated value and the preliminary high threshold value ymax; and judging a low threshold value ymax according to the preliminary low threshold value ymin and the adjustment low threshold value y'min, and judging a high threshold value according to the preliminary high threshold value ymax and the adjustment high threshold value y'max. Therefore, whether each measuring point is abnormal or not can be checked according to the low threshold value and the high threshold value.

Description

technical field [0001] The present invention relates to a check method of air quality, in particular to a method and equipment for checking the quality of air quality micro-sensing data of the Internet of Things for checking whether the measured value in the air quality is abnormal. Background technique [0002] Under the era trend of the Internet of Things and the emphasis on air quality, countries have built a large number of micro-sensors in recent years to monitor air pollution, especially PM, which is harmful to the human body. 2.5 Monitoring of Volatile Organic Compounds (VOC) with gases. [0003] Before using micro-sensing data, the most important first step is data quality inspection, inappropriate data must be eliminated. Otherwise, if inappropriate data is used, the final output data may lead to incorrect results. Since micro-sensing data has a large amount of data characteristics of high time (one data in a few minutes) and high spatial resolution (hundreds of m...

AI Technical Summary

Problems solved by technology

[0008] The first checking method is too strict in actual application, and can only check out the measured value data with very high or very low measured value, or some abnormal measured value data cannot be checked out

As for the second method, because the program is too complicated (requires a large amount of data training), it is only limited to special spatio-temporal data, and cannot be popularized in a large number of actual operations.

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