A composite electroplating liquid component intelligent detection method and system

CN122282889APending Publication Date: 2026-06-26SHANDONG LUYUAN METAL PRODUCTS CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202610458917.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-09
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

In the high-frequency pulse electroplating process, the transient electromagnetic disturbance generated by the pulse current field is deeply coupled with the electrochemical sensing signal, which leads to systematic deviations in the traditional detection model in component detection, making it difficult to meet the high precision requirements.

Method used

An adaptive noise reduction and multi-scale feature parsing method is used to generate enhanced feature vectors. Combined with time-frequency feature correspondence and feature cross-validation, real-time component detection is achieved through a multi-level concentration parsing network.

Benefits of technology

The system achieves high accuracy and reliability in component detection during high-frequency pulse electroplating. It also possesses self-diagnosis and self-optimization capabilities, improving the economy and reliability of the detection process.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122282889A_ABST
    Figure CN122282889A_ABST
Patent Text Reader

Abstract

This invention relates to the field of electroplating solution component detection technology, specifically disclosing an intelligent detection method and system for composite electroplating solution components. First, electrochemical sensing signals are simultaneously acquired during pulse electroplating and subjected to adaptive noise reduction processing to generate standardized signal slices. Then, time-domain dynamic trajectory parameters and frequency-domain distribution parameters are extracted through multi-scale feature analysis. Next, enhanced feature vectors are generated using feature cross-validation and adversarial generation processing. Then, real-time concentration data of each component is obtained using a preset feature-concentration mapping relationship. Finally, parameter reconstruction is triggered based on concentration deviation analysis results, achieving closed-loop optimization of the detection process. This invention effectively solves the problem of component detection inaccuracy caused by transient multi-physics field coupling interference under high-frequency pulse conditions, improving detection accuracy and system stability, and providing a reliable online monitoring solution for precision electroplating processes.
Need to check novelty before this filing date? Find Prior Art