动态模糊PLS法实现废水处理出水指标预测  

Applying Dynamic Fuzzy PLS in Prediction Wastewater Outlet Index

作　　者：张昊 杨冲 刘鸿斌 黄明智[3] ZHANG Hao;YANG Chong;LIU Hong-bin(Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University;State Key Laboratory of Pulp and Paper Engineering, South China University of Technology;Key Laboratory of Theoretical Chemistry of Environment Ministry of Education inEnvironmental Research Institute, South China Normal University)

机构地区：[1]南京林业大学林业资源高效加工利用协同创新中心 [2]华南理工大学制浆造纸工程国家重点实验室 [3]华南师范大学环境研究院环境理论化学教育部重点实验室

出　　处：《化工自动化及仪表》2019年第6期485-489,共5页Control and Instruments in Chemical Industry

基　　金：国家自然科学基金项目(51208206);南京林业大学高层次人才科研启动基金项目(163105996);制浆造纸工程国家重点实验室开放基金项目(201813)

摘　　要：针对废水处理过程普遍存在的时变性和非线性特征,提出动态模糊偏最小二乘法(DFPLS)实现废水出水指标预测。分别采用线性偏最小二乘(LPLS)、模糊偏最小二乘(FPLS)和DFPLS方法对比分析。结果表明:DFPLS方法预测均方误差相较于LPLS和FPLS分别下降了88.61%和77.50%;DFPLS在第3潜变量下的输出累计方差贡献率相较于FPLS提升了38.51%,显著提高了废水处理过程预测的准确性,验证了该方法的有效性。In view of the time-varying and non-linear characteristics of wastewater treatment process, constructing a dynamic fuzzy partial least squares (DFPLS) model for wastewater treatment process was proposed to predict index of the effluent. Applying the linear partial least squares (LPLS), fuzzy partial least squares (FPLS) and DFPLS methods to comparative analysis shows that, compared with LPLS and FPLS methods, the predictive mean square error (MSE) of DFPLS method can decrease by 88.61% and 77.50% respectively;and the cumulative variance contribution rate of DFPLS method can be increased by 38.51% compared with FPLS method under the third principal component and the accuracy of predicting the wastewater treatment process can be increased obviously along with a verified validity of the method.

关 键 词：废水处理过程 动态过程 偏最小二乘 TSK模糊模型 FCM聚类算法 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]