首页> 外文会议>International Conference on Informatics in Control, Automation and Robotics >DATA MINING AND KNOWLEDGE DISCOVERY FOR MONITORING AND INTELLIGENT CONTROL OF A WASTEWATER TREATMENT PLANT
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DATA MINING AND KNOWLEDGE DISCOVERY FOR MONITORING AND INTELLIGENT CONTROL OF A WASTEWATER TREATMENT PLANT

机译:用于监测和智能控制污水处理厂的数据挖掘和知识发现

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Intelligent control of medium-scale industrial processes has been applied with success but, as a method of advanced control, can be further improved. Since intelligent control makes use of knowledge-based techniques (such as expert systems, fuzzy logic, neural networks, etc.), a data mining and knowledge discovery subsystem embedded in a control system can support an intelligent controller to achieve a more reliable and robust operation of the controlled process. This paper proposes a combined intelligent control and data mining scheme for monitoring and mainly for controlling a wastewater treatment plant. The intelligent control system is implemented in a programmable logic controller, while the data mining and knowledge discovery system in a personal computer. The entire control system is basically a knowledge-based system which improves drastically the behavior of the wastewater treatment plant.
机译:中型工业过程的智能控制已取得成功,但作为一种先进控制的方法,可以进一步提高。由于智能控制利用基于知识的技术(例如专家系统,模糊逻辑,神经网络等),因此嵌入在控制系统中的数据挖掘和知识发现子系统可以支持智能控制器以实现更可靠且稳健的控制器控制过程的操作。本文提出了一种智能控制和数据采矿方案,用于监测,主要用于控制废水处理厂。智能控制系统在可编程逻辑控制器中实现,而个人计算机中的数据挖掘和知识发现系统则实现。整个控制系统基本上是一种基于知识的系统,其急剧上提高了废水处理厂的行为。

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