A New "User-friendly" Blast Furnace Advisory Control System Using a Neural Network Temperature Profile Classifier
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- García Francisco A.
- Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid
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- Campoy Pascual
- Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid
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- Mochón Javier.
- Centro Nacional de Investigaciones Metalúrgicas (CSIC-CENIM)
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- Ruiz-Bustinza Iñigo
- Centro Nacional de Investigaciones Metalúrgicas (CSIC-CENIM)
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- Verdeja Luis Felipe
- Escuela Técnica Superior de Minas de Oviedo, Universidad de Oviedo
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- Duarte Ramon Martín
- Centro Nacional de Investigaciones Metalúrgicas (CSIC-CENIM)
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The adaptation of blast furnaces to the new technologies has increased the operation information so that the sensor information can be known at every moment. However this often results in the supply of excessive data volume to the plant operators. This paper describes an industrial application for self-organized maps (SOM) in order to help them make decisions regarding blast furnace control by means of pattern recognition and the matching of temperature profiles supplied by the thermocouples placed on the above burden. The classification of patterns via easy color coding indicates to the operator what the blast furnace operational situation is, thus making the necessary corrections easier.
収録刊行物
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- ISIJ International
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ISIJ International 50 (5), 730-737, 2010
一般社団法人 日本鉄鋼協会
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詳細情報
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- CRID
- 1390001206488089984
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- NII論文ID
- 10027370649
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- NII書誌ID
- AA10680712
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- ISSN
- 13475460
- 09151559
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可