Quality-related monitoring of papermaking wastewater treatment processes using dynamic multiblock partial least squares  

作　　者：Jie Yang Yuchen Zhang Lei Zhou Fengshan Zhang Yi Jing Mingzhi Huang Hongbin Liu 

机构地区：[1]Co-Innovation Center of Efficient Processing and Utilization of Forest Resources,Nanjing Forestry University,Nanjing 210037,China [2]Laboratory for Comprehensive Utilization of Paper Waste of Shandong Province,Shandong Huatai Paper Co.Ltd.,Dongying 257335,China [3]SCNU Environmental Research Institute,Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety&MOE Key Laboratory of Theoretical Chemistry of Environment,School of Environment,South China Normal University,Guangzhou 510006,China

出　　处：《Journal of Bioresources and Bioproducts》2022年第1期73-82,共10页生物质资源与工程（英文）

基　　金：supported by Student’s Platform for Innovation and Entrepreneurship Training Program in Jiangsu Province(no.202010298029Z);Guangdong Provincial Natural Science Foundation(no.2016A030306033).

摘　　要：Environmental problems have attracted much attention in recent years,especially for papermak-ing wastewater discharge.To reduce the loss of effluence discharge violation,quality-related multivariate statistical methods have been successfully applied to achieve a robust wastewater treatment system.In this work,a new dynamic multiblock partial least squares(DMBPLS)is pro-posed to extract the time-varying information in a large-scale papermaking wastewater treatment process.By introducing augmented matrices to input and output data,the proposed method not only handles the dynamic characteristic of data and reduces the time delay of fault detection,but enhances the interpretability of model.In addition,the DMBPLS provides a capability of fault location,which has certain guiding significance for fault recovery.In comparison with other mod-els,the DMBPLS has a superior fault detection result.Specifically,the maximum fault detection rate of the DMBPLS is improved by 35.93%and 12.5%for bias and drifting faults,respectively,in comparison with partial least squares(PLS).

关 键 词：Dynamic multiblock partial least squares Multivariate statistical process monitoring Papermaking wastewater treatment process Quality-related fault detection Sensor fault 

分 类 号：X703[环境科学与工程—环境工程]