Development of an Automation and Intelligent Control System for the Polyvinyl Chloride (Pvc) Drying Process

Key Points

• The aim is to develop an automated control system to enhance the PVC drying process by optimizing key parameters.
• Developed an automation and intelligent control system integrating sensor-based monitoring and machine learning algorithms.
• Utilized mathematical modeling to adapt control to variations in PVC physicochemical properties.
• Focused on optimizing energy consumption and improving product quality.
• Successfully reduced energy consumption in the PVC drying process by optimizing control parameters.
• Improved product quality metrics such as residual moisture and structural uniformity after implementation.
• Achieved real-time adaptive control through integration of machine learning algorithms.