Measurement software Spray Dryer Optimization

qualityautomationcontrol

Control output, material, and energy costs in spray drying processes, especially in milk and coffee production. Minimize Powder Variation and Maximize Quality Maximize product moisture content and maintain product quality while reducing specific energy consumption Optimize use of drying capacities such as responding to ambient air humidity, optimize distribution between the dryer and fluidized beds Coordinate the optimization of multiple units Increase product yield or process throughput Capture Process Data from Existing Automation Systems Connect to virtually any control system including DCS and PLC Integrate data capture, historicization, and trending Enable custom calculations Enable New Levels of Stability Stabilize the output composition to reliably satisfy product specifications. Understand process constraints and complex process interactions Implement a mathematical model of process input/output dependencies to predict future process output trajectories Multivariate correlation between variables and actuators, causes and effects Predict the impact of known disturbances on the operation Make coordinated moves on multiple actuators Exploit all opportunities to push quality and/or throughput close to the constraint Allow multivariable model-predictive dynamic control (MPC) Facilitate steady-state economic optimization by a linear program (LP) Establish inferential virtual sensor modeling via a neural network that enables continuous product quality measurement to calculate estimated values