故障检测与隔离
过程(计算)
软件
实时计算
过程控制
统计过程控制
监测和控制
嵌入式系统
计算机科学
控制工程
在制品
工程类
人工智能
操作系统
执行机构
运营管理
作者
Matthew J. Wade,Alberto Sánchez,M.R. Katebi
标识
DOI:10.1191/0142331205tm140oa
摘要
This paper reports on the design, implementation and real-time operation of advanced process monitoring techniques for wastewater treatment plants. The paper presents the development of a software platform and its implementation in a full-scale wastewater treatment plant. The software platform allows the real-time execution of advanced process monitoring techniques that are used for fault and process upset detection and identification. The statistical methods are part of a supervisory control level that allows for integration of the different facets of process monitoring and control, including fault detection, knowledge extraction and controller action. Results obtained by the real-time execution of such algorithms are presented.
科研通智能强力驱动
Strongly Powered by AbleSci AI