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Real-time Automatic Control of Full-scale Water Treatment Plant Clarifiers with Artificial Intelligence 基于人工智能的大型净水厂澄清池实时自动控制
发布日期: 2003-10-01
本文介绍了目前AWWARF研究项目TC的最新结果- 2838.该研究项目是EPCOR供水服务公司和 艾伯塔大学,位于埃德蒙顿,阿尔伯塔,加拿大。系统是 正在为哈代港(加拿大不列颠哥伦比亚省)水处理厂开发, 河流水质经常出现快速而大幅度的波动, 尤其是有机水平。该项目的总体目标是开发和 实施先进的基于模型的过程控制系统,以更好地运行工厂 效率很高。该系统使用人工神经网络对DAF(溶解气浮)澄清池进行建模 并将其与电厂监控和数据采集(SCADA)集成 用于实时控制的系统。开发了一个创新的控制系统,以确保 对工厂运营施加的所有约束和目标(如生产率) 和水质参数)同时获得。包括18个参考文献、表格、图表。
This paper presents the results to-date from a current AWWARF Research Project TC- 2838. The research project is a joint collaboration between EPCOR Water Services and the University of Alberta, both located in Edmonton, Alberta, Canada. The system is being developed for the Port Hardy (British Columbia, Canada) water treatment plant, which regularly experiences very rapid and wide fluctuations in river water quality, particularly organic levels. The overall objective of the project is to develop and implement an advanced model-based process control system to operate the plant more efficiently. The system uses ANN's to model the DAF (Dissolved Air Flotation) clarifier and integrates them with the plant Supervisory Control and Data Acquisition (SCADA) system for real-time control. An innovative control system was developed to ensure that all constraints and targets imposed on the operation of the plant (such as production rates and water quality parameters) were simultaneously achieved. Includes 18 references, tables, figures.
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发布单位或类别: 美国-美国给水工程协会
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