Quality control method, device and equipment and storage medium

A quality control method and data technology, applied in the field of data processing, can solve problems such as correct data being eliminated, inaccurate quality control of occultation data, etc.

Active Publication Date: 2019-05-10
CMA METEOROLOGICAL OBSERVATION CENT +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, if the erroneous data in the occultation data is simply eliminated based on a certain judgment basis, it is easy to eliminate the correct data, resulting in inaccurate quality control of the occultation data.

Method used

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  • Quality control method, device and equipment and storage medium
  • Quality control method, device and equipment and storage medium
  • Quality control method, device and equipment and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0052] figure 1 It is a flow chart of a quality control method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of performing quality control on occultation data. The method can be executed by a quality control device, which can be implemented by hardware and / or Or software, and generally can be integrated in various general-purpose computer equipment, specifically including the following steps:

[0053]Step 110: Determine the double weight coefficients of the target occultation data, and determine the erroneous data and suspicious data in the target occultation data based on the double weight coefficients of the target occultation data, and use them as the first erroneous data and the first suspicious data respectively.

[0054] Wherein, the occultation data is the data obtained by inverting the signal acquired in the occultation event. Generally, an occultation event refers to an event in which two star bodies that were origi...

Embodiment 2

[0084] figure 2 It is a flowchart of a quality control method provided by Embodiment 2 of the present invention. This embodiment is further refined on the basis of the previous embodiment, and provides specific steps for determining the correct data in the target occultation data based on the correlation coefficient , and the data ranges of the first erroneous data, the first suspicious data, the second erroneous data, and the second suspicious data. Combine below figure 2 A quality control method provided in Embodiment 2 of the present invention is described, including the following steps:

[0085] Step 210: Determine the double weight coefficients of the target occultation data, and determine the erroneous data and suspicious data in the target occultation data based on the double weight coefficients of the target occultation data, and use them as the first erroneous data and the first suspicious data respectively.

[0086] Among them, the first error data is the target ...

Embodiment 3

[0119] Figure 3a It is a flowchart of a quality control method provided by Embodiment 3 of the present invention, and this embodiment is a preferred embodiment of the present invention. A quality control method provided by Embodiment 3 of the present invention will be described below in conjunction with FIG. 3, including the following steps:

[0120] Step 310, acquiring occultation data and latitude and longitude data of multiple sounding stations; wherein, the occultation data includes multiple sets of sampling data, and each set of sampling data includes latitude and longitude data.

[0121] Step 320: Use the position determined by the latitude and longitude data in each group of sampling data as the target position, and use the position determined by the latitude and longitude data of each radiosonde station as the reference position.

[0122] Step 330, for each reference position, determine at least one target position within a preset distance range from the reference po...

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Abstract

The embodiment of the invention discloses a quality control method and device, equipment and a storage medium, and the method comprises the steps: determining a double-weight coefficient of target occultation data, and determining first error data and first suspicious data in the target occultation data based on the double-weight coefficient of the target occultation data; removing first error data in the target occultation data to obtain first residual data, and determining deviation data between the first residual data and corresponding data in the target background field data; determining adouble-weight coefficient of the deviation data, and determining second error data and second suspicious data in the deviation data based on the double-weight coefficient of the deviation data; the occultation data corresponding to the second error data in the first residual data are removed, and second residual data are obtained; and determining a correlation coefficient of the second residual data and the target background field data, and determining correct data in the target occultation data based on the correlation coefficient. According to the embodiment of the invention, the quality control accuracy of the occultation data can be improved.

Description

technical field [0001] Embodiments of the present invention relate to data processing technologies, and in particular, to a quality control method, device, equipment, and storage medium. Background technique [0002] With the continuous development of the satellite industry, occultation detection technology has become a technical means to effectively monitor or predict changes in the atmosphere. To control the quality of the obtained occultation data and obtain the correct data is to use occultation detection technology to carry out atmospheric important step in the analysis. [0003] In the prior art, the traditional standard deviation method and double weight quality control method are mainly used to eliminate the erroneous data in the occultation data by generating different judgment basis, so as to realize the quality control of the occultation data. [0004] However, if the erroneous data in the occultation data is eliminated simply based on a certain judgment basis, i...

Claims

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Application Information

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IPC IPC(8): G06F17/18
Inventor 郭启云程凯琪李昌兴杨荣康张春泽温凯
Owner CMA METEOROLOGICAL OBSERVATION CENT
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