公开(公告)号：US09633307B2

公开(公告)日：2017-04-25

申请号：US14668836

申请日：2015-03-25

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Junfei Qiao ,  Ying Hou ,  Honggui Han ,  Wenjing Li

IPC: G06N3/08 ,  G01N33/18 ,  G06N3/04 ,  C02F3/00 ,  C02F101/16

CPC classification number: G06N3/088 ,  C02F3/006 ,  C02F2101/16 ,  C02F2209/001 ,  C02F2209/006 ,  C02F2209/04 ,  C02F2209/10 ,  C02F2209/14 ,  C02F2209/18 ,  C02F2209/22 ,  C02F2209/40 ,  G01N33/18 ,  G01N33/188 ,  G06N3/0445

Abstract: An intelligent method is designed for predicting the effluent ammonia-nitrogen concentration in the urban wastewater treatment process (WWTP). The technology of this invention is part of advanced manufacturing technology, belongs to both the field of control engineering and environment engineering. In order to improve the predicting efficiency, a recurrent self-organizing neural network, which can adjust the structure and parameters concurrently to train the parameters, is developed to design this intelligent method. This intelligent method can predict the effluent ammonia-nitrogen concentration with acceptable accuracy and solve the problem that the effluent ammonia-nitrogen concentration is difficult to be measured online. Moreover, the online information of effluent ammonia-nitrogen concentration, predicted by this intelligent method, can enhance the quality monitoring level and alleviate the current situation of wastewater to strengthen the whole management of WWTP.