Digital Twin for DRYING PROCESS

What is the challenge of the Drying process?

Drying processes often consume significant amounts of energy. The challenge lies in optimizing energy consumption while maintaining effective drying conditions. Inefficient drying processes can lead to product loss and waste. 

Reducing the drying time without compromising product quality is also a constant challenge. Faster drying times can lead to increased productivity and reduced energy costs. 

Effective monitoring and control of drying parameters are essential for successful drying.

Next-generation approach to drying process control

Digital Twin of a drying process is designed to reduce energy consumption, maintain the constant moisture content of the production and increase production capacity through continuous system monitoring and optimal control.

This includes maintaining the optimum temperature and capacity of the air supplied to the dryer, controlling product supply capacity, and monitoring the system KPIs.

How does it work?

EA-SAS platform continuously collects real SCADA metering data and performs calculations in the Cloud. Real-time Digital Twin is performed based on metering data and computes drying process KPIs: dryer efficiency, the moisture content in production (before, during, and after drying), thermal and electrical energy consumption for drying, etc. 

Based on KPIs, the operator receives control tasks for each operation hour or advanced automated control can be done directly to Scada without human interaction.

Pre-trained Digital Twin algorithms are prepared for:

• Drying of wood raw materials or products
• Grain drying
• Malt drying
• Drying of milk flour
• Drying of calcium ammonium nitrate UAN fertilizer
• Cement wood boards
• Other bulk products