AI-assisted predictive monitoring of process control parameters in a novel sequencing batch biofilm reactor for high-strength sewage treatment

Key Points

• This research aims to evaluate the effectiveness of AI-assisted predictive monitoring in a sequencing batch biofilm reactor for sewage treatment.
• Utilized a novel sequencing batch biofilm reactor for high-strength sewage application.
• Employed AI-based tools for real-time monitoring of process control parameters.
• Assessed reliability using root mean square error (RMSE) and correlation coefficient metrics.
• Achieved a correlation coefficient of 0.918 for predictive monitoring accuracy.
• Reported an RMSE of 0.173, confirming reliability in process monitoring.
• Highlighted the practicality of AI integration with biofilm reactor technology for effective sewage treatment.