公开(公告)号：US20240425397A1

公开(公告)日：2024-12-26

申请号：US18827659

申请日：2024-09-06

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Hong-Gui Han ,  Lin-lin Zhang ,  Jun-Fei Qiao

IPC: C02F3/00 ,  C02F1/00 ,  C02F3/30

Abstract: A data-knowledge driven multi-objective optimal control method for municipal wastewater treatment process belongs to the field of wastewater treatment. To balance the energy consumption and effluent quality, a data driven multi-objective optimization model, including energy consumption model and effluent quality model are established to obtain the nonlinear relationship along energy consumption, effluent quality and manipulated variables. Meanwhile, a multi-objective particle swarm optimization algorithm, based on evolutionary knowledge, is proposed to optimize the set-points of nitrate nitrogen and dissolved oxygen. Moreover, the proportional integral differential (PID) controller is designed to track the set-points. Then the effluent quality can be improved and the energy consumption can be reduced.

公开(公告)号：US20210395120A1

公开(公告)日：2021-12-23

申请号：US17334535

申请日：2021-05-28

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Hong-Gui Han ,  Lin-lin Zhang ,  Jun-Fei Qiao

IPC: C02F3/00 ,  C02F3/30 ,  G05B19/042

Abstract: A data-knowledge driven multi-objective optimal control method for municipal wastewater treatment process belongs to the field of wastewater treatment. To balance the energy consumption and effluent quality, a data driven multi-objective optimization model, including energy consumption model and effluent quality model are established to obtain the nonlinear relationship along energy consumption, effluent quality and manipulated variables. Meanwhile, a multi-objective particle swarm optimization algorithm, based on evolutionary knowledge, is proposed to optimize the set-points of nitrate nitrogen and dissolved oxygen. Moreover, the proportional integral differential (PID) controller is designed to track the set-points. Then the effluent quality can be improved and the energy consumption can be reduced.