Hongxia Cai
Shanghai Key Laboratory of Mechanical Automation and Robotics, School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China
Tingting Yu
Shanghai Key Laboratory of Mechanical Automation and Robotics, School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China
Mingyu Dai
Shanghai Key Laboratory of Mechanical Automation and Robotics, School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China
ABSTRACT
Energy conservation is more and more important in the iron and steel industry. We propose a method on Case-based reasoning to analyze energy consumption during the steel processes. The innovation of the proposed method lies in the combination of CBR and equal-dimension new information. We select the highly interpretive, discriminative and predictive attributes among the different processes and assign the weights to those non-linear factors according to the importance from the investigation. The similarity is calculated on the basis of the knowledge-based repository. We use the equal-dimension new information to enhance the real-time and effectiveness of case library, so that, we can shorten the time of ergodic case library and improve the efficiency of retrieval. Given a similarity baseline, the production process and energy conservation proposal could be referred. A real-world example verifies the proposed method is effective for energy conservation in the iron and steel industry.
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How to cite this article
Hongxia Cai, Tingting Yu and Mingyu Dai, 2013. Case-based Reasoning for Energy Consumption Analysis in Steel Process. Information Technology Journal, 12: 8391-8397.
DOI: 10.3923/itj.2013.8391.8397
URL: https://scialert.net/abstract/?doi=itj.2013.8391.8397
DOI: 10.3923/itj.2013.8391.8397
URL: https://scialert.net/abstract/?doi=itj.2013.8391.8397
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