| 引用本文: | 陈友文,柴天佑.加热炉生产数据预处理策略研究[J].控制理论与应用,2012,29(1):114~118.[点击复制] |
| CHEN You-wen,CHAI Tian-you.Preprocessing of operation data in heating furnace[J].Control Theory and Technology,2012,29(1):114~118.[点击复制] |
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| 加热炉生产数据预处理策略研究 |
| Preprocessing of operation data in heating furnace |
| 摘要点击 2037 全文点击 1774 投稿时间：2010-08-29 修订日期：2011-03-08 |
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| DOI编号 10.7641/j.issn.1000-8152.2012.1.CCTA100992 |
| 2012,29(1):114-118 |
| 中文关键词 加热炉 数据预处理 滤波 模糊神经网络 案例推理 |
| 英文关键词 heating furnace data pre-procession filtering fuzzy neural network case-based reasoning |
| 基金项目 国家自然科学基金资助项目(60828007); 国家“863”计划资助项目(2007AA041405). |
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| 中文摘要 |
| 加热炉在钢铁企业发挥着非常重要的作用. 在加热炉中部分生产过程数据较难检测, 部分检测到的数据受到严重干扰和缺失, 这严重影响了加热炉的优化和控制, 而且还存在潜在的安全隐患. 本文针对加热炉这一复杂的过程, 设计了一个生产过程数据预处理系统. 该系统能对部分难以测量的数据用自适应模糊神经网络(FNN)方法进行预测, 能对过程数据进行滤波和正误判断, 能对异常数据进行剔除和替代, 并对过程数据替代值利用案例推理(CBR)方法建立完善机制. 该系统在某钢铁公司进行了实际应用, 取得了明显的应用效果. |
| 英文摘要 |
| Because of the complex environmental interferences, the operation data of a heating furnace is disturbed or even lost in measuring; this deteriorates the accuracy and stability of the control system, or even causes potential security risks in production. To deal with this problem, we propose a preprocessing system for the operation data of a heating furnace. It employs the self-adaptive fuzzy neural network (FNN) method to predict the immeasurable data, provides the data-filtering, and rejects abnormal data by case-based reasoning. It uses the case-based reasoning (CBR) method to build a new mechanism for data replacement and modification. This intelligent preprocessing system has been successfully applied to a heating furnace in an iron-and-steel company, achieving desirable production results. |
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