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复杂大系统的数据校正 预览 被引量:3

Data Reconciliation in Large-scale Process
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摘要 由于复杂大系统包含设备较多、物料品种多、工艺流程复杂,所需测量的数据繁多、解题规模庞大。传统的数据校正算法耗费了计算机大量的存储单元,而且计算时间较长。而新的分解协调算法无需协调参数和迭代计算,故计算速度加快,很好地解决了这个问题。 Considering the different equipments,materials and complicated process in large-scale process and the conventional methods asking much computer's memory and time to carry on data reconciliation,a new decomposition-coordination method was proposed.Compared with the conventional approaches,this method asks no reconciliation parameters and iterative calculation procedure and leads to high efficiency.
作者 杜文靖 徐文艳 王豪 DU Wen-jing,XU Wen-yan,WANG Hao(1.Department of Automation,Shanghai Jiaotong University,Shanghai 200240,China; 2.Life & Environment School,Shanghai Normal University,Shanghai 200234,China)
出处 《化工自动化及仪表》 CAS 北大核心 2011年第3期 257-260,共4页 Control and Instruments In Chemical Industry
关键词 数据校正 分解协调 复杂大系统 化工过程系统 data reconciliation decomposition-coordination large-scale process chemical process system
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