Digitization of process information uses the PI system to digitize and integrate information on multiple key production factors such as current, voltage, concentration, and temperature during the production process, so that each roll of copper foil produced has a complete production history, which can be Trace back to the production machine, production time, production conditions, etc. to strengthen the ability and accuracy of abnormal cause analysis.

The digitization of product information is upgraded through the measurement system, and the measurement results are directly integrated into the computer database, which can avoid problems such as personnel transcription errors and heavy labor. It can also reduce paper consumption and move towards the goal of paperlessness. In addition, product analysis data can be statistically analyzed through PI and Power BI systems to strengthen product quality control and quality improvement.

Safety, environmental protection, and quality are the cornerstones of LCYtech's pursuit of sustainable development. Safety-related equipment information, environmental protection-related wastewater treatment information, and quality-related product information can be tracked in real time through mobile phones and tablets. It can break away from the restriction of data ending in the on-site control room, allowing all management levels to query information in real time, greatly improving communication efficiency.

Integrate the summary analysis capabilities of the Power BI reporting tool to provide a strong basis for alarm review. Under the premise of strictly adhering to process change management (MOC), it can effectively reduce the number of alarms, relieve operator pressure, shorten the time to respond to incidents, and focus on response Various abnormal conditions, reduce the risk of accidents, and improve the real-time monitoring and management of factory safety, environmental protection, and quality.

1. LCYtech and the LCY AI team have jointly established an AI predictive production model that combines process quality control and production parameter control. It uses artificial intelligence calculations to identify important process influencing factors and conduct production quality predictions.
2. Compared with 2020, the yield rate of high-specification and high-end A+ products has increased by 13%. Through the thinking logic of deduction and decision-making based on data, and strengthening the application of information visualization, report automation, and real-time process monitoring, Let LCYtech upgrade from finished product quality control and process parameter control to production model prediction control, further improving product yield.