Benchmarking Soft Sensors for Remote Monitoring of On-Site Wastewater Treatment Plants

• DOI: 10.1021/acs.est.9b07760
• Publication Date: 2020-07-24T16:38:25Z
• Authors: Mariane Yvonne Sc...; Viviane Furrer; Eleonora Sprenger; Juan Pablo Carbajal; Kris Villez; Max Maurer
• Keywords: Soft sensor; Benchmarking; Soft water; Robustness

On-site wastewater treatment plants (OSTs) are usually unattended, so failures often remain undetected and lead to prolonged periods of reduced performance. To stabilize the performance unattended plants, soft sensors could expose faults operator. In a previous study, we developed showed that with data from unmaintained physical can be as accurate maintained ones. The monitored variables were pH dissolved oxygen (DO), used predict nitrification present use synthetic monitor three test these sensors. We find long solids retention time moderate aeration rate improve soft-sensor accuracy regime is main operational parameter affecting DO sensor. demonstrate integrated design monitoring control necessary achieve robustness when extrapolating one OST another in absence plant-specific fine-tuning. Additionally, provide unique labeled dataset for further feature data-driven development. Our benchmarking results indicate it feasible OSTs without tuning This expected drastically reduce costs OST-based sanitation systems.