Machine learning-based control system for desiccant rotor air handling units that predicts humidity levels and intelligently switches heater operation to maintain optimal indoor air quality.

Patentradars sammanfattning

This patent discloses a method and system for controlling air handling units (AHUs) equipped with desiccant rotors using machine learning to generate on/off commands for the regeneration air heater. The ML model predicts future humidity and temperature levels based on measured data and compares predictions against allowable humidity ranges to determine optimal heater operation, reducing energy consumption while maintaining desired humidity setpoints. The control architecture integrates cascade controllers with PID or MPC temperature control, enabling both local unit control and cloud-based server optimization.

AI-genererad och redaktionellt processad.