Quality control method based on multiple monitoring indexes

Abstract

The invention relates to a quality control method based on multiple monitoring indexes. The method mainly comprises steps that firstly, through the basic principle of a decisive tree, prediction variables are classified through utilizing control variables; secondly, a test set is calculated through utilizing the classification result, and model adjustment and optimization are carried out according to the prediction result; and lastly, the final model result is outputted and taken as a quality control standard to verify in a reverse mode whether detection samples of the multiple monitoring indexes correspond to interval ranges of a categories of the decisive tree; if the detection samples of the multiple monitoring indexes correspond to the interval ranges of the categories of the decisive tree, a value is determined to be a normal monitoring value, otherwise, the value is determined to be an abnormal value. The method is advantaged in that automatic and intelligent suspected data screening and determination and data quality analysis pre-determination functions are realized, data quality is guaranteed, and powerful support is provided for subsequent data use and environment forecast early warning.

Description

technical field [0001] The invention relates to the technical field of quality control of monitoring indicators, in particular to a quality control method based on multiple monitoring indicators. Background technique [0002] In view of the lack of automatic quality control means for atmospheric monitoring data, the corresponding algorithm is designed according to the technical method adopted by data composite, to realize the automatic intelligent quality control technology of atmospheric environment monitoring data, to solve the problem of lack of automatic quality control means for multi-source monitoring data, and to make the atmospheric environment The quality control of monitoring equipment follows the same method system, and promotes the development of remote automatic quality control technology for monitoring equipment. [0003] At this stage, due to the inconsistencies in the monitoring data structure, type, and quality of various environmental observation equipment,...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a quality control method based on multiple monitoring indicators to solve the problems of incompleteness, incompleteness and imperfection in the existing data automatic quality control work

Obtain continuous time-space monitoring products through big data analysis technology, and finally form standard quality-controlled data for reference and analysis, solve the problem of lack of automatic quality control means for multi-source monitoring data, and make the quality control of atmospheric monitoring equipment follow the same set of methods system

Images