US 12,404,185 B2
Process, system, and computer readable storage medium for determining optimal coagulant dosage
Matthew Gray, Lafayette Hill, PA (US)
Assigned to HACH COMPANY, Loveland, CO (US)
Appl. No. 17/609,592
Filed by HACH COMPANY, Loveland, CO (US)
PCT Filed Sep. 24, 2021, PCT No. PCT/US2021/051853
§ 371(c)(1), (2) Date Nov. 8, 2021,
PCT Pub. No. WO2022/108659, PCT Pub. Date May 27, 2022.
Claims priority of provisional application 63/132,162, filed on Dec. 30, 2020.
Claims priority of provisional application 63/115,320, filed on Nov. 18, 2020.
Prior Publication US 2023/0257283 A1, Aug. 17, 2023
Int. Cl. C02F 1/00 (2023.01)
CPC C02F 1/008 (2013.01) [C02F 2209/001 (2013.01); C02F 2209/02 (2013.01); C02F 2209/04 (2013.01); C02F 2209/055 (2013.01); C02F 2209/06 (2013.01); C02F 2209/11 (2013.01); C02F 2209/20 (2013.01); C02F 2209/40 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method for determining an optimal amount of a coagulant to be administered to water in a coagulation treatment system, the method comprising:
calculating a nominal coagulant dosage based on a plurality of coagulation-related incoming water parameters by evaluating the plurality of coagulation-related incoming water parameters with a first mathematical model that has been trained using historical data including (i) previously measured values of the plurality of coagulation-related incoming water parameters, and (ii) previously administered coagulant dosages;
predicting a water quality index for the nominal coagulant dosage by inputting the nominal coagulant dosage into a second mathematical model and evaluating at least one coagulation-related incoming water parameter via the second mathematical model, wherein the second mathematical model has been trained using historical data of the water including (i) the previously administered coagulant dosages, and (ii) previously determined values of the water quality index of the water that has been treated with the previously administered coagulant dosages;
determining whether the predicted water quality index for the nominal coagulant dosage is within a target range;
when the predicted water quality index is not within the target range, adjusting the nominal coagulant dosage and predicting, via the second mathematical model, a water quality index for the adjusted coagulant dosage; and
when the predicted water quality index is within the target range, administering the nominal coagulant dosage to the water.