Method for prejudging yarn dyeing performance, electronic device and storage medium

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Solution Overview

Problem

Existing yarn dyeing performance detection methods are lagging, inaccurate, and prone to missed judgments, leading to increased defective products and economic losses due to manual inspection inefficiencies in the production line.

Innovation Solution

A method utilizing spectral detection and Gaussian process regression to predict yarn dyeing performance by analyzing Raman spectra, enabling online detection and judgment of yarn dyeing quality through a spectral detection unit, data pre-processing, and prejudgment unit.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual random inspection is used to judge yarn dyeing performance, then the detection method is simple and easy to operate, but the detection accuracy is low and there are large errors in judgment

Engineering Contradiction:

Improvedetection method simplicityVSAvoiddyeing performance judgment accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent replaces the manual mechanical inspection system with an automated spectral detection system. A spectrum detection unit collects spectral information from yarn samples, and a processor automatically analyzes this data using Gaussian process regression to determine dyeing performance. This substitution eliminates manual judgment errors while maintaining operational simplicity through automated processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent transforms the detection approach by changing from visual/manual parameters to spectral parameters. Instead of relying on human eyes and subjective judgment, the system measures objective spectral characteristics of the yarn at different wavelengths. These spectral parameters are then processed through mathematical models to objectively determine dyeing performance, significantly improving measurement precision.

Inventive Principle:

Principle #35Parameter changes

2Device complexity

If manual inspection is performed after yarns are wound into yarn spindles and subsequently doffed, then the detection process is simple, but the detection timing is delayed and cannot timely identify defective products

Engineering Contradiction:

Improvedetection process complexityVSAvoiddetection timing delay

Core Design Contradiction:

Device complexityVSLoss of time

Solution Approach 1:

The patent implements preliminary detection by measuring spectral information of yarn samples during the winding process itself, before the yarn is completely wound into spindles and doffed. This allows the system to identify dyeing performance issues in advance, enabling timely adjustments to production conditions and preventing defective products from being manufactured further.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent establishes continuous detection capability by integrating the spectrum detection unit into the production line. The system continuously collects spectral information from yarn samples as they pass through, providing real-time monitoring of dyeing performance throughout the production process, thereby eliminating detection delays.

Inventive Principle:

Principle #20Continuity of useful action

3Ease of manufacture

If manual hosiery dyeing method is used for detection, then the detection procedure is straightforward, but the detection completeness is low with possibility of missed detection and missed judgment

Engineering Contradiction:

Improvedetection method simplicityVSAvoiddetection completeness

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The patent replaces the manual hosiery dyeing detection method with an automated spectral analysis system. The spectrum detection unit objectively measures yarn characteristics without human intervention, and the Gaussian process regression model automatically evaluates dyeing performance. This eliminates missed detections and judgments that occur with manual methods, significantly improving detection completeness and reliability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Accurately and efficiently predicts yarn dyeing performance, reducing manual errors and enabling real-time detection on production lines, thereby improving product quality and reducing defects.

Implementation Method 1

performing spectral detection on the yarn sample normally dyed in the same batch to obtain first spectral information

Methodology Applied

Scientific EffectRaman spectroscopy:

Data Source

PatentUS12497733B2Method for prejudging yarn dyeing performance, electronic device and storage medium

Publication Date: 2025.12.16 ZHEJIANG HENGYI PETROCHEMICAL CO LTD

AI summary

Provided is a method for prejudging yarn dyeing performance, an electronic device and a computer-readable storage medium. The method includes: determining a yarn normally dyed for a yarn to be judged; performing spectral detection on the yarn normally dyed to obtain first spectral information; calculating a covariance by simulation through a Gaussian process kernel; obtaining a plurality of pieces of continuous second spectrum information for the yarn to be judged, and establishing a Gaussian process regression model; obtaining third spectrum information for a yarn to be detected; performing a subtraction operation on the third spectral information and the second spectral information; and judging the yarn dyeing performance according to a matrix value obtained by the subtraction operation.