| 烧结生产过程的智能控制技术 |
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| 引用本文： | 杨东晓,杨春雨,宋宝宇,费静.烧结生产过程的智能控制技术[J].鞍山科技大学学报,2008,31(5):470-474. |
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| 作者姓名： | 杨东晓 杨春雨 宋宝宇 费静 |
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| 作者单位： | 鞍钢股份有限公司技术中心 |
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| 摘 要： | 针对烧结生产复杂的物理化学反应进程,提出烧结终点预测模型和应用机尾烧结矿断面图像判断烧结终点的实际解决方法。在分步骤地解决烧结生产各个关键环节的在线检测和实现各个环节的智能控制的基础上,应用信息化、智能化技术集成各个控制环节,构成烧结生产过程的综合智能控制系统。
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| 关 键 词： | 烧结终点 烧结过程 专家系统 图像分析 神经网络 |
Intelligence control technique in sinter production process |
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| YANG Dong-xiao,YANG Chun-yu,SONG Bao-yu,FEI Jing.Intelligence control technique in sinter production process[J].Journal of Anshan University of Science and Technology,2008,31(5):470-474. |
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| Authors: | YANG Dong-xiao YANG Chun-yu SONG Bao-yu FEI Jing |
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| Abstract: | Sintering production is a complex process with physical and chemical reaction.It is based on step-by-step solving the online check and intelligence control problems of each key section in the sinter production,which firstly accomplish the intelligence control of each section.Then by integrating the information-based and intelligentized technology with each control section, the integrated intelligence control system is constructed in the sinter production process. |
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| Keywords: | burning through point sintering process expert system image analysis neural network |
| 本文献已被 CNKI 维普 等数据库收录！ |
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