The aim of this paper is to describe the state-of-the art computer-based techniques for data analysis to improve operation of wastewater treatment plants. A comprehensive review of peer-reviewed papers shows that European researchers have led academic computer-based method development during the last two decades. The most cited techniques are artificial neural networks, principal component analysis, fuzzy logic, clustering, independent component analysis and partial least squares regression. Even though there has been progress on techniques related to the development of environmental decision support systems, knowledge discovery and management, the research sector is still far from delivering systems that smoothly integrate several types of knowledge and different methods of reasoning. Several limitations that currently prevent the application of computer-based techniques in practice are highlighted.

本文的目的是描述用于数据分析的最先进的基于计算机的技术，以改善废水处理厂的运行。对同行评审论文的全面审查表明，在过去的二十年中，欧洲研究人员领导了基于计算机的学术方法的开发。引用最多的技术是人工神经网络，主成分分析，模糊逻辑，聚类，独立成分分析和偏最小二乘回归。尽管与环境决策支持系统，知识发现和管理相关的技术已取得进展，但研究部门仍远未提供能够平稳集成多种类型的知识和不同推理方法的系统。