Digitalisation and Artificial Intelligence in the autonomous control of sewage treatment plants

Development of autonomous control systems for the efficient management of waste water treatment processes in Amsterdam’s main waste water treatment facility. The system implemented consists of a package of data-based solutions that integrates virtual sensors, digital twinning, variable prediction or autonomous control agents. The goal is to seek the minimum environmental impact and power consumption link to the biological processes involved in treatment operations, all compliant with the current water quality regulations.