公开(公告)号：US20220082545A1

公开(公告)日：2022-03-17

申请号：US17472433

申请日：2021-09-10

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Honggui HAN ,  Chenxuan SUN ,  Junfei QIAO

IPC: G01N33/18 ,  G06N3/04 ,  G06N3/08

Abstract: A total nitrogen intelligent detection system based on multi-objective optimized fuzzy neural network belongs to both the field of environment engineer and control engineer. The total nitrogen in wastewater treatment process is an important index to measure the quality of effluent. However, it is extremely difficult to detect the total nitrogen concentration due to the long detection time and the low prediction accuracy in the wastewater treatment process. To solve the problem, multi-objective optimized fuzzy neural network with global optimization capability may be established to optimize the structure and parameters to solve the problem of the poor generalization ability of fuzzy neural network. The experimental results show that total nitrogen intelligent detection system can automatically collect the variables information of wastewater treatment process and predict total nitrogen concentration. Meanwhile, in this system, the detection method can improve the prediction accuracy, as well as ensure the total nitrogen concentration be obtained in real-time and low-cost.