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Content Provider | IEEE Xplore Digital Library |
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Author | Luo Xianxi Yuan Mingzhe Wang Hong |
Copyright Year | 2010 |
Description | Author affiliation: Shenyang Institute of Automation, Chinese Academy of Sciences, 110016, China (Luo Xianxi; Yuan Mingzhe; Wang Hong) |
Abstract | Blast Furnace Gas (BFG) is usually been comprehensively utilized in the production process of modern iron &steel plants, and it makes the pipe network of BFG quite complex. In order to manage and schedule the production and consumption of BFG rationally, each iron &steel plant has a set of facilities for remote measurement and control. However, the measured data of flow rates in the pipeline network may be lost, contaminated by gross errors or disturbed by random signals which lead to random errors in the procedure of measurement, transformation and transmission. So the data displayed at last deviate from the original true data. It's an obstacle for the plant to make right decision. This research proposes the methods of data reconciliation applied in the measurement systems of BFG pipeline network to solve the mentioned three problems. At last we give the results of data reconciliation for a group of experiment data. They show that the algorithm of data reconciliation is effective and the quality of data is improved. |
Starting Page | 5687 |
Ending Page | 5690 |
File Size | 93240 |
Page Count | 4 |
File Format | |
ISBN | 9781424462636 |
e-ISBN | 9787894631046 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-07-29 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Chinese Association of Aut |
Subject Keyword | Temperature measurement Data Reconciliation Fluid flow measurement Blast Furnace Gas Production Iron Pollution measurement Steel Equations |
Content Type | Text |
Resource Type | Article |
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