Fuzzy Synthesis Evaluation Method for Position State of Blast Furnace Cohesive Zone Based on Entropy Weight Extension Theory
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摘要: 针对高炉(Blast furnace, BF)软熔带位置状态影响因素复杂多样且具有层次性和模糊性的特点, 提出了基于熵权--可拓理论的高炉软熔带位置状态两级模糊综合评判的新方法. 首先,在对高炉生产过程参数进行整理、分类的基础上, 采用可拓理论和熵权法确定第一级评判的隶属矩阵和模糊权向量, 进行一级模糊评判. 其次,以一级评判结果矩阵构成第二级评判的隶属矩阵, 并结合层次分析法(Analytic hierarchy process, AHP)确定的第二级模糊权向量, 进行二级模糊评判. 利用物元的可拓性定性分析和可拓集合论的关联函数定量计算相结合的方法, 实现对高炉软熔带位置状态的两级模糊综合评判. 最后,以某钢铁厂2650m3高炉为实例对其软熔带位置状态进行综合评判, 所得结果与现场实际情况吻合良好.Abstract: As the position state of blast furnace (BF) cohesive zone is influenced by various complex factors, which have hierarchical and fuzzy characteristics, a two-stage fuzzy synthesis evaluation method based on entropy weight extension theory is proposed. Using the extension theory and entropy weight method, the membership matrixes and fuzzy weight vectors of the first-stage are determined for the first-stage fuzzy evaluation, which is based on the work of organizing and classifying the process data of BF. Then, after determining the second-stage fuzzy weight vector by utilizing the analytic hierarchy process (AHP), the membership matrix of the second-stage fuzzy evaluation is generated on the basis of the result matrixes of the first-stage fuzzy evaluation. Thus, the two-stage fuzzy evaluation of the position state of BF cohesive zone can be carried out with not only qualitative analysis with extension of matter-element but also quantitative calculation with correlation function of extension set theory. A case study of a 2650m3 steel plant is carried out to verify the proposed method. It can be seen from the verification that the proposed method can reflect the practical situation well.
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[1] Shi Yan-Bin. Study on Modeling and Simulation of Blast Furnace Process Based on CFD/NHT Analysis [Ph.D. dissertation], Shandong University, China, 2006. (史岩彬. 基于CFD/NHT分析技术的高炉炼铁过程建模与仿真研究 [博士学位论文], 山东大学, 中国, 2006.) [2] Dong K F, Yu A B, Burgess J M, Pinson D, Chew S, Zulli P. Modelling of multiphase flow in ironmaking blast furnace. The Journal of the American Chemical Society, 2009, 48(1): 214-226 [3] Zhou C Q. Visualizing the future in steel manufacturing. The Iron & Steel Technology, 2011, 8(1): 37-50 [4] Cai Wen, Yang Chun-Yan. Basic theory and methodology on extenics. Chinese Science Bulletin, 2013, 58(13): 1190-1199(蔡文, 杨春燕. 可拓学的基础理论与方法体系. 科学通报, 2013, 58(13): 1190-1199) [5] Wong H, Hu Ba Q. Application of improved extension evaluation method to water quality evaluation. Journal of Hydrology, 2014, 509: 539-548 [6] Weng G Q, Zhou W W, Qi J. Research on comprehensive evaluation of regional power quality based on multistage extension method. In: Proceedings of the 2011 Power and Energy Engineering Conference. Wuhan, China: IEEE, 2011. 1-4 [7] Chen H C. Partial discharge identification system for high voltage power transformers using fractal feature based extension method. Science, Measurement & Technology, IET, 2013, 7(2): 77-84 [8] Zhu C H, Shen N Q, Wang T, Huang Xo, Chen D J. Study on danger evaluation of debris flow using extension method. In: Proceedings of the 2012 International Conference on Systems and Informatics. Yantai, China: IEEE, 2012. 1352-1355 [9] Xu Y J, Wang Y C, Miu X D. Multi-attribute decision making method for air target threat evaluation based on intuitionistic fuzzy sets. IEEE Systems Engineering and Electronics, 2012, 23(6): 891-897 [10] Xia H, Jia Z P, Sha E H M. Research of trust model based on fuzzy theory in mobile ad hoc networks. Information Security, IET, 2014, 8(2): 88-103 [11] Wu Qi, Liu Jing, Xiong Fu-Li, Liu Xiao-Jun. The fuzzy wavelet classifier machine with penalizing hybrid noises from complex diagnosis system. Acta Automatica Sinica, 2009, 35(6): 773-779(吴奇, 刘静, 熊福力, 刘晓军. 惩罚复杂诊断系统混合噪音的模糊小波分类机. 自动化学报, 2009, 35(6): 773-779) [12] Li C X, Anavatti S G, Ray T. Analytical hierarchy process using fuzzy inference technique for real-time route guidance system. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(1): 84-93 [13] Qin Guo-Hua, Zhou Mei-Dan, Ye Hai-Chao, Huang Hua-Ping, Li Yi-Ran. AHP-based fixture locator selection. Computer Integrated Manufacturing Systems, 2014, 20(2): 326-332(秦国华, 周美丹, 叶海潮, 黄华平, 李怡冉. 基于 AHP 的夹具定位元件选择方法. 计算机集成制造系统, 2014, 20(2): 326-332) [14] Fang Wen, Lin Cheng-Cheng, Tao Hua, Ding De-Kang. Perfection and optimization of model for determination of 3BF condition. Bao-Steel Technology, 2002, (2): 47-51(方文, 林成城, 陶华, 丁德康. 宝钢三高炉炉况判定模型的完善和优化. 宝钢技术, 2002, (2): 47-51)
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