DEVELOPMENT OF SOFT-SENSING MODELS FOR COD IN THE PHOTO-ELECTRO-CATALYTIC OXIDATION ADVANCED TREATMENT OF PAPERMAKING WASTEWATER
ABSTRACT The photo-electro-catalytic(PEC)oxidation has been widely recognized as an effective technology for the advanced treatment of papermaking wastewater.Due to the high price of on-line sensor,the important index-chemical oxygen demand(COD)of wastewater is often analyzed off-line.In order to realize the on-line measurement of COD,a new solution was presented in the study.According to the technology of PEC,the on-line measurements of oxidation-reduction potential(ORP),pH and dissolved oxygen(DO)of wastewater were selected as the key parameters,four different kinds of artificial neural network(ANNs)methods: multi-layer perceptron neural network(MLP),back propagation neural network(BPNN),radial basis neural network(RBNN)and generalized regression neural network(GRNN)were applied to develop the soft-sensing models of COD.Six batches of papermaking wastewater with different pollution loads were treated with PEC technology over a period of 90 minutes,and totally 546 data were collected,which included the on-line measurements of ORP,pH and DO,and the off-line analyzed results of COD.All the 546 data were divided into the training set(75%of the total data – 410 data)and the validation set(25%-136 data).Four statistical criteria-root mean square error(RMSE),mean absolute error(MAE),mean absolute1relative error(MARE),and determination coefficient(R2)were used to assess the performances of the developed models.The comparison results of four ANN models for soft-sensing COD indicated that the RBNN model demonstrated best,which possessed the precise prediction results with R2=0.913 for the validation set.Lastly,the proposed RBNN model was applied to a new batch of PEC oxidation of papermaking wastewater,and the results indicated that the developed model could be applied successfully for the soft-sensing COD of wastewater,which implied the applied possibility in the near future.
Xuewen Zhang Yuefei Zhu Xiaoquan Chen Wenhao Shen
State Kay Laboratory of Pulp and Paper Engineering,South China University of Technology Guangzhou,510640,China
国际会议
第五届制浆造纸新技术国际研讨会(ISETPP)暨第三届国际造纸与环境学术大会(IPEC)
广州
英文
1-6
2016-11-07（万方平台首次上网日期，不代表论文的发表时间）