Improvement in Asset Life up to 25%
Wastewater treatment is a complex process that includes the physical and biological processes, involving various operations and stages like pH neutralization, oxidation, ion exchange, coagulation, and flocculation. It’s a tall order to execute a multi-step chemical treatment. The challenges with of Manual dosing, lack of data-driven decisioning, and excessive use of chemicals or improper use of dosing in chemical treatment results in excessive chemical costs, and premature wear tear of equipment or worse, the discharge of contaminated water. The good news is that, by implementing AquaML, one can monitor chemical dosing in water/wastewater, maximize metals removal, and optimize your supply chain management by optimizing your chemical dosing setpoints. Ultimately, this helps to reduce the cost of consumables and leads to operational efficiency. The recommended recommendations as well as a near-real-time analysis from sensors and devices, give you and your team an insight into the recommended actions and events. AquaML, Event Detection and Notification System (EDNS) takes data from Supervisory Control and Data Acquisition (SCADA) system, various sensors and integrating it with data from your system on the usage and application of chemical dosing to track the actual performance and predictive drivers. This approach enables AquaML to predict operations servers days ahead and act as enabling function for autopilot and unmanned operations. It leverages machine learning to analyze wastewater treatment plant data and provide predictive recommendations so that plant operators and managers can meet their clean water/wastewater objectives at the best-operating costs while meeting all the regulatory compliances.