软测量在污水处理过程中的研究与应用  

Soft sensor research and its application in wastewater treatment

作　　者：黄道平[1] 刘乙奇[1] 李艳[1] 

机构地区：[1]华南理工大学自动化科学与工程学院,广东广州510641

出　　处：《化工学报》2011年第1期1-9,共9页CIESC Journal

基　　金：国家自然科学基金项目(60704012)~~

摘　　要：在污水生化处理过程中,存在着多变量耦合、强非线性、参数时变、大滞后等特点,面对这些特点,传统传感器无法得到有效应用,重要变量无法得到快速精确测量,生化过程无法得到有效优化和诊断,于是大量研究围绕软测量展开,其中利用机理模型、智能模型和回归模型对重要变量进行精确测量最为普遍。文中根据污水生化处理的特点,不仅综述了软测量数据预处理的基本方法,而且归纳了其基本建模、优化及故障诊断的应用和研究成果。同时指出了软测量鲁棒性差,自校验能力差,机理模型和智能模型混合以及在污水故障诊断中存在的问题。最后,结合国际上发展及作者的实践经验总结并展望了软测量技术在污水生化处理过程中的应用前景和发展趋势。Because wastewater treatment processes are generally characterized by variables coupled, significant nonlinearities, parameters shift and time delay, traditional hardware sensors are not applicable, or their high cost or technical limitations hamper their online use.This result makes optimization and diagnosis of wastewater treatment process impossible. Lots of work, therefore, focus on soft sensor application, especially, the use of analysis model, intelligent model and recursive model for modelling soft sensors to measure important parameters.On one hand, this paper reviews data pre-processing methods and summarizes the research and application of soft sensors from modelling, optimization to diagnosis.On the other hand, the drawbacks of popular soft sensors, including lack of robust and self-calibration capacity, problems of integrating intelligent model with analysis model and its difficulty in wastewater treatment diagnosis, are pointed out.Finally, the application prospect and trend are summarised according to the development of soft sensors worldwide and the experience of authors.

关 键 词：软测量 污水处理 建模 优化 故障诊断 

分 类 号：TK302.1[动力工程及工程热物理—热能工程]