Promotes proactive approach to reduce failures, reduce costs, mitigate risk, increase confidence and optimize operation and expenditure in Waste Water Treatment Plant (WWTP).
Using a variety of recurrent neural networks (RNNs) that are capable of learning long-term dependencies
Can measure variables of treatment plant, environmental conditions, and use them to predict the amount of concentration of ammonia 𝑁𝐻4+ and nitrate 𝑁𝑂3− in effluent few hours ahead.
By implanting preventive and proactive based on our prediction system, we offer reduced failures, reduced costs, mitigate risk, increase confidence and optimize operation and expenditure.
