|
二维码（扫一下试试看！） |
| Study on AI Online Detection System for Coating Color Formulations Based on Impedance Sensing |
| Received:October 28, 2025 Revised:November 25, 2025 |
| DOI：10.11980/j.issn.0254-508X.2026.04.026 |
| Key Words:coating color impedance sensing technology AI-driven online monitoring |
| Fund Project:国家重点研发计划（2023YFF0724200）；国家自然科学基金（22478138）；广州市重点研发计划项目（2024B03J0002）；中国科学院重点部署项目（02222001）。 |
| Author Name | Affiliation | Postcode | | LU Jun* | 1School of Light Industry and Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640
2Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong Province, 510530 | 510530 | | ZHAO Guanglei* | 1School of Light Industry and Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 | 510640 | | XIE Chong | 1School of Light Industry and Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 | 510640 | | GUO Shangkun | 2Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong Province, 510530 | 510530 |
|
| Hits: 1027 |
| Download times: 157 |
| Abstract:This study designed an AI-based online detection system for coating color based on impedance sensing and applied it to measure the impedance spectra of coating formulations. By analyzing variations in parameters such as the solid content， filler ratio， and the amounts of dispersant， thickener， and binder in the coating color， the online detection capability， stability， and responsiveness of the system to formulation changes were investigated. The results showed that the system provided stable measurements. The constructed linear regression model demonstrated high prediction accuracy （R²=0.985 on the test set） and was sensitive to the influence of changes in parameters such as key additives on the electrical properties of the system. With the aim of providing effective tools for the online and real-time intelligent perception of the coating color state and process optimization. |
| View Full Text HTML View/Add Comment Download reader |
|
|
|