密闭鼓风炉熔炼过程炉况智能监视及预报系统

【作者】 何朝华；

【导师】 桂卫华；

【作者基本信息】 中南大学 ， 控制理论与控制工程， 2002， 硕士

【摘要】 密闭鼓风炉熔炼过程是一个极其复杂的生产过程，其优化控制模型及相应软件系统的研究开发工作起步较晚，使得现场操作缺乏科学的指导依据。为此进行鼓风炉熔炼过程炉况智能监视及预报系统的研究，开发具有自主版权的建模和优化软件，将现有的人工智能等领域的重要成果应用于鼓风炉熔炼过程，对优化密闭鼓风炉生产具有重要的意义。 本文以韶关冶炼厂铅锌密闭鼓风炉熔炼过程为背景，介绍了密闭鼓风炉熔炼过程炉况智能监视及预报系统的研究和设计方法。首先在基于机理分析的基础上，分析熔炼过程中存在的问题，并且得到影响鼓风炉况的关键因素；然后提出解决方案，将炉况智能监视及预报系统分为透气性模块、烧结块软化点模块、料面分布模块等；然后分别讨论了几个模块模型的建立过程方法。包括基于BP神经网络的鼓风炉透气性预报模型、结合模糊分类方法的基于线性回归和神经网络的烧结块软化点预报智能集成模型、炉顶料面分布模型；最终讨论了系统的结构、功能，并进行了系统软硬件设计，使系统得到实现，这里重点突出了系统软件的设计思想和设计方法。系统软件采用vc编制，主要包括了通讯模块、主监视模块、透气性模块、烧结块软化点模块、料面分布模块等。系统通过现场调试运行，实现了炉况参数监视，透气性和烧结块软化点与软熔点预测，炉顶料面分布模拟等功能。现场运行情况证实系统具有一定的可靠性和实用性，能够满足现场要求的精度。更多还原

【Abstract】 Imperial Smelting Furnace (ISF) smelting process is a quite complex process. The optimizing control model and software are not fully developed at present, which make it hard to give scientific direction to the fieidwork. The ISF conditions monitoring and predicting system is designed for this target, which is significant for the optimization of ISF production by applying artificial intelligence, besides a integrative software of optimizing and modeling possessing self-copyright is expected.In this thesis Intelligent Monitoring and Predicting System of ISF conditions in Shaoguan Smelt is designed. Firstly the key factors that influence the ISF conditions are gained based on the analysis of mechanism of ISF, then the solution to problems in ISF smelting process is proposed. Intelligent monitoring and predicting system of ISF conditions is divided into permeability module, agglomerate Softening-Point module and charge level module, which concerns some models, including permeability prediction model based on the theory of Back Propagation Neural Network, intelligent integrated prediction model of agglomerate softening-point based on the theories of Linear Regression and neural network, charge level model. At last the system is expatiated in its structure and function, which is implemented by software and hardware design, here the thought and the methods of system-design are emphasized. The system software, developed by VC, comprises communication module, main monitoring module, permeability module, agglomerate Softening-Point module and charge level module. Functions of parameters monitoring, agglomerate softening-point predicting and charge level simulating are realized in debugging and running, the precision and reliability have been proved.更多还原