公开(公告)号：US20210355007A1

公开(公告)日：2021-11-18

申请号：US16608152

申请日：2018-12-13

Applicant: SEMBCORP INDUSTRIES LTD. ,  National University of Singapore

Inventor： Ching Kwek POOI ,  How Yong NG ,  Xueqing SHI ,  Adrian Piah Song YEO ,  Wangdong NI

IPC: C02F3/00 ,  G06N20/00 ,  G06N5/04

Abstract: A system for predicting an effluent parameter associated with a wastewater treatment process including a predictor module configured to receive a first input dataset comprising a plurality of wastewater inflow parameters to predict a biodegradable type of effluent wastewater; a mechanistic simulator configured to receive the biodegradable type of effluent wastewater and the plurality of wastewater inflow parameters as a second input dataset to predict the effluent parameter.

公开(公告)号：US20180327292A1

公开(公告)日：2018-11-15

申请号：US15740348

申请日：2017-04-18

Applicant: SEMBCORP INDUSTRIES LTD

Inventor： Nan LI ,  Woh Peng Aaron YUEN ,  Wangdong NI ,  Zhengzhi ZHAO ,  Kwee Hock SIM

IPC: C02F3/00 ,  C02F3/28 ,  C02F3/30 ,  G01N33/18

CPC classification number: C02F3/006 ,  C02F1/00 ,  C02F3/00 ,  C02F3/2846 ,  C02F3/30 ,  C02F2203/002 ,  C02F2209/005 ,  C02F2209/006 ,  C02F2209/20 ,  G01N33/1846 ,  G05B13/04 ,  G05B13/048 ,  G05B15/00 ,  G05B17/02 ,  G05B23/02 ,  G05B23/0243 ,  G05B23/0254

Abstract: A system for wastewater treatment process control comprising a set of measuring means arranged to obtain a dataset, the dataset comprises a plurality of process variables related to a parameter of the wastewater treatment process; a prediction module arranged to receive the dataset and predict the parameter of wastewater treatment process based on a soft sensor; a troubleshooting module arranged to compare the predicted parameter with a predetermined criterion; wherein if the predicted parameter does not satisfy the predetermined criterion; the troubleshooting module is operable to identify at least one process variable from the plurality of process variables which causes the predicted parameter not to satisfy the predetermined criterion and determine whether the identified at least one process variable from the plurality of process variables is controllable. An optimisation module for use in a wastewater treatment system is also disclosed.