公开(公告)号：US20220027706A1

公开(公告)日：2022-01-27

申请号：US17382237

申请日：2021-07-21

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Honggui HAN ,  Zheng LIU ,  Junfei QIAO

IPC: G06N3/04 ,  G06N7/02 ,  G06F17/18

Abstract: An intelligent warning method based on knowledge-fuzzy learning algorithm is designed for membrane fouling with high accuracy. A multi-step prediction strategy, using the least-squares linear regression model, is developed to predict the characteristic variables of membrane fouling Meanwhile, the knowledge of membrane fouling category, which is extracted from the real wastewater treatment process, can be expressed as the form of fuzzy rules. Moreover, a knowledge-based fuzzy neural network is designed to establish the membrane fouling warning model, thus deal with the problem of difficult warning of membrane fouling. The results reveal that the intelligent warning method can improve the ability to solve the membrane fouling, mitigate the deleterious effect on the process performance and ensure the safety operation of the wastewater treatment process.