Sumo Digital Twin (Sumolator) Construction System
Digital twin construction environment for water treatment plants based on Dynamita's process simulator Sumo • Monitoring DT (MDT): Runs in real-time and displays data and model results for comparison. • Optimization DT (ODT): Finds the optimal DO set points for the next 2-4 hours to achieve target ammonia levels in the effluent. • Automatic Calibration DT (ADT): Adjusts selected model parameters to match model output with sensor data. • Forecasting DT (FDT): After training on historical data, it can predict expected peak inflow to the plant based on weather forecasts (for a few days or a week ahead).
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basic information
• Monitoring DT (MDT): Executes in real-time and displays data and model results for comparison. • Optimization DT (ODT): Finds the optimal DO setpoint for the next 2-4 hours to achieve the target ammonia level in the effluent. • Automatic Calibration DT (ADT): Modifies selected model parameters to match model output with sensor data. • Forecasting DT (FDT): After training on historical data, it can predict the expected peak inflow to the plant based on weather forecasts (for a few days or a week ahead).
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Applications/Examples of results
Online monitoring of wastewater treatment plants, online operational optimization, and AI-based predictions of inflow volumes from external environments.
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