AI empowers water resources management and accurately predicts safety

inflow forecast Prediction of inflow volume
Based on "feedforward + model + feedback", it integrates historical flow data, real-time weather conditions, holidays and other factors to predict the inflow of water entering the sewage treatment plant in the next 6 days (8 hours to 6 days).

Prediction of influent water quality

Prediction of incoming water quality

Forecast the concentration and change trend of influent water quality indicators (COD, ammonia nitrogen, total nitrogen, total phosphorus) in the next 6 days.

Process parameter prediction Process parameter water quality prediction
Forecast the water quality indicators of effluent water with process parameters (dissolved oxygen, ORP, sludge concentration and other indicators) in the next 6 days, and evaluate the treatment effect.

Prediction of effluent quality

Prediction of effluent quality

To avoid the risk of excessive water discharge in advance, prediction can change "ex post remedy" to "ex ante prevention and control" to block the risk of exceeding the standard from the source. Optimize back-end operations and cost control,"reverse results" to optimize back-end processes, and reduce invalid resource consumption.