Production and quality analysis technology and application of aluminum plate, strip and foil

Aiming at the core pain points in the aluminum plate, strip and foil processing industry such as low timeliness of data collection, prominent information silos, low collaborative efficiency and absence of real-time analysis and online process optimization capacity between production and quality, the 2 ms-level high-frequency data collection technology and the parsing method for multi-source heterogeneous system protocols were studied. According to the nonlinear and coupling characteristics of the aluminum plate, strip and foil production process, a product quality judgment model based on random forest was proposed, and an equipment health diagnosis model based on long short-term memory network was established for the deep abstract fault features of equipment health status, and a production and quality analysis platform suitable for aluminum plate, strip and foil enterprises was developed. The application verification of the platform has achieved the following results: the collection delay of key process data is reduced from an average of 2 h to less than 50 ms, the time required for real-time data analysis has been compressed from over 30 min to within 2 s, and the response time for online optimization of process parameters has been shortened from more than 2 h to within 10 s. The time consumed for manual data processing was cut by 84%, and the one-time qualification rate of finished products was increased from 92.3% to 96.5%. The results show that the platform effectively improves the management level of production and quality, and provides a replicable technical solution and practical demonstration for the efficient data collection, development and utilization of aluminum plate, strip and foil enterprises.