Quality control method based on multiple monitoring indexes

A quality control method and technology of indicators, applied in the field of quality control based on multiple monitoring indicators, can solve problems such as incompleteness, imperfection, and incomplete automatic quality control of data, so as to reduce the cost of use, increase the utilization rate, and improve the Accurate and time-sensitive effects

Active Publication Date: 2017-12-15
SUN YAT SEN UNIV +1
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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 b

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  • Quality control method based on multiple monitoring indexes
  • Quality control method based on multiple monitoring indexes
  • Quality control method based on multiple monitoring indexes

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Example Embodiment

[0027] Example

[0028] This embodiment performs quality control on the atmospheric environment of a certain place, and the specific process is as follows figure 1 The flow chart shown mainly includes the following steps:

[0029] The first step: the following pollutant data and meteorological data exist in a certain place, and the decision tree is constructed. The specific data is shown in Table 1. According to the standard in the AQI Technical Regulations (Trial), PM2.5 is scored There are six levels.

[0030] Table 1 Pollutant data and meteorological data of a certain place

[0031] ws

[0032] The second and third steps: build a decision tree, and continuously optimize the model through tree adjustments. Rain is the output variable, and the other variables are output variables. The final model built is as figure 2 Shown.

[0033] Step 4: Output the value range of monitoring indicators corresponding to each category through the constructed decision tree, as shown below:

[0034...

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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,...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q10/06G01N33/00G01W1/00
CPCG06Q10/06395G01N33/0004G01W1/00G06F18/24323
Inventor 徐伟嘉冯梦思刘永红卢志想黄建彰陈群
Owner SUN YAT SEN UNIV
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