Method for percentile classification of raw silk quality

A grading method and percentile technology, applied in complex mathematical operations and other directions, can solve problems such as rough grading methods, loss of meaning of other grades, and lack of grading standards, so as to reduce production costs and avoid disputes over grading indicators.

Inactive Publication Date: 2018-04-20
南宁海关技术中心
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AI Technical Summary

Problems solved by technology

[0006] (1) The fixed limit value method has the following disadvantages: when the overall average quality of raw silk changes greatly, all raw silk will be in the same 2-3 grades, and other grades will lose their meaning
The level of specific indicators of a certain item cannot be directly reflected, especially the current grading methods for su

Method used

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Embodiment Construction

[0022] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the technical solution of the present invention will be described in further non-limiting detail through specific embodiments below.

[0023] A method for grading raw silk quality percentiles, comprising the steps of:

[0024] 1. Construct an online database of raw silk quality, and the quality data of raw silk and the identification data of corresponding raw silk will be imported into the database regularly by the raw silk testing agency. Among them, the quality data includes the current grading standard detection data (denier deviation, maximum denier deviation, clean, clean, uniform one-degree change, uniform two-degree change, uniform three-degree change, breaking strength, elongation at break, cohesion, cutting, appearance etc.), raw silk electronic detection data (roughness, medium roughness, small roughness, thick places, fine details, snow roughness...

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Abstract

The invention discloses a method for percentile classification of raw silk quality. The method includes the step (1) of constructing an on-line raw silk quality database, and periodically importing, by a raw silk detection mechanism, raw silk quality data and identification data into the database; the step (2) of utilizing a percentile statistical method in the database to automatically sort the imported quality data from small to large, and then statistically collecting the quality data corresponding to commonly used N percentiles by the database; taking the N quality data obtained in the step (2) as grading indicators, and dividing the raw silk quality into N+1 grades. In the method, the database percentile method is adopted for classification, real-time statistics and classification ofall data or statistics and classification according to conditions can be achieved, users can formulate classification conditions as required, the classification can be refined and can also be coarsened, and the non-constant-value percentile classification can help to reach an international consensus, effectively avoiding disputes on grading indexes of a constant value classification method.

Description

technical field [0001] The embodiment of the present invention relates to a raw silk quality percentile grading method. Background technique [0002] Raw silk of different quality grades has a large price difference. According to incomplete statistics, the highest price difference per ton of silk can reach tens of thousands of yuan. Therefore, in order to reduce trade disputes, raw silk is traded according to quality. [0003] There are existing raw silk quality percentile grading methods, the basic situation is as follows: [0004] Raw silk is graded using fixed technical index values, that is, using fixed upper limits, fixed lower limits, or fixed upper and lower limits of inspection items for grading. The current grading methods include: my country's standard GB / T 1797-2008 "Raw Silk", "Raw Silk Handbook 1995" formulated by the International Silk Association, and the raw silk standards of Japan, India and other countries. Among them, GB / T 1797-2008 "Raw Silk" divides ra...

Claims

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Application Information

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IPC IPC(8): G06F17/18
CPCG06F17/18
Inventor 盖国平郭蔚刘军义吕春秋罗兆飞李冰陈兴灿李艳
Owner 南宁海关技术中心
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