Coating multilayer profile analysis method based on data analysis
Through data analysis methods, multi-layer feature information of coatings is extracted and machine learning algorithms are used to establish a performance analysis model, which solves the problems of low resolution and poor reliability of traditional coatings multi-layer profile analysis methods, and realizes high-precision coating analysis, improving product quality and production efficiency.
CN119723253AActive Publication Date: 2025-03-28SHANGHAI KEWAN MASCH EQUIP TECH SERVICE CO LTD
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Patent Information
- Application Number
- CN202510238243.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-03
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2045-03-03
AI Technical Summary
Technical Problem
The traditional coating multi-layer profile analysis method has the problems of low resolution and poor reliability, which is difficult to meet the high-precision analysis needs of modern coating materials.
Method used
Using a data analysis method, the coating sample is cut and image acquisition, the coating multi-layer feature information is extracted, and the coating performance analysis model is established using machine learning algorithms to perform coating multi-layer profile analysis.
Benefits of technology
It effectively improves the accuracy and reliability of coating analysis, and is suitable for the profile analysis of various coating materials, helping to improve the quality of coating products and optimize production processes.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a coating multilayer profile analysis method based on data analysis, which belongs to the technical field of data processing, and adopts image acquisition equipment to perform image acquisition on a profile, determine a sample coating multilayer profile image, and then extract coating multilayer feature information corresponding to the sample coating multilayer profile image, the method comprises the following steps: establishing a data relationship between coating multilayer feature information and coating sample performance indexes by adopting a machine learning algorithm to obtain a coating performance analysis model, finally collecting a target coating multilayer section image corresponding to a to-be-analyzed coating, and extracting target coating multilayer feature information corresponding to the target coating multilayer section image to obtain a coating performance analysis result. The coating performance analysis model is adopted to analyze the multi-layer feature information of the target coating, the coating multi-layer profile analysis result corresponding to the to-be-analyzed coating is determined, the coating analysis accuracy and reliability can be effectively improved, the method is suitable for profile analysis of various coating materials, and the application prospect is wide. And the method is of great significance in improving the quality of a coating product and optimizing a production process.
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