| 线性系统测量网络的设计与改造 |
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| 引用本文： | 李博,陈丙珍.线性系统测量网络的设计与改造[J].清华大学学报(自然科学版),2001,41(12):31-34. |
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| 作者姓名： | 李博 陈丙珍 |
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| 作者单位： | 清华大学化学工程系,北京,100084 |
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| 摘 要： | 对化工过程数据进行数据校正 ,可以提高所获得数据的精度和一致性 ,同时可以对重要的未测变量进行估计。为满足数据校正工作的需要 ,采用图论方法与混合整数非线性规划 (m ixed integer non- linear programm ing,MINL P)方法相结合 ,分析了线性系统中变量的可估计性 ,建立了考虑数据可估计性及可靠性要求的测量网络设计、改造的一般性问题的 MINL P模型。对某常减压装置常压部分的测量网络进行改造的实例证明了此模型的有效性
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| 关 键 词： | 化工过程 测量网络设计 图论 混合整数非线性规划(MINLP) |
| 文章编号： | 1000-0054(2001)12-0031-04 |
| 修稿时间： | 2000年7月2日 |
Optimal design and retrofit of sensor network for linear processes |
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| LI Bo,CHEN Bingzhen.Optimal design and retrofit of sensor network for linear processes[J].Journal of Tsinghua University(Science and Technology),2001,41(12):31-34. |
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| Authors: | LI Bo CHEN Bingzhen |
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| Abstract: | The accuracy and consistency of process data can be improved using data reconciliation of chemical process data. The data reconciliation can also be used to estimate the unmeasured variables at the same time. In order to perform data reconciliation effectively, a mixed integer non linear programming (MINLP) method integrated with a method based on graph theory to analyze the estimability of process variables in linear processes. The MINLP model for sensor network design and retrofit considered the estimability and reliability of the process variables. The model was verified through a sensor network retrofit to an existing sensor network in a crude oil distillation unit. |
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| Keywords: | chemical processes sensor network design graph theory mixed integer non linear programming (MINLP) |
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