磨矿分级优化控制专家系统的研究

发布时间：2018-04-26 21:06

本文选题：磨矿分级 + 控制专家系统　；参考：《昆明理工大学》2017年硕士论文

【摘要】：磨矿分级是选矿生产流程中最关键的环节,直接关系到选矿生产的处理能力和磨矿产品的质量,对后续选别作业指标乃至整个选矿厂的技术经济指标产生重要的影响。目前,国内磨矿分级自动控制主要从稳定操作参数出发,控制回路的给定值仍依靠人工设定,生产指标的好坏完全取决于操作人员的经验和责任心。磨矿分级的智能优化控制一直是选矿领域的国际性技术难题。本文结合玉溪大红山铁矿三选厂磨矿分级作业展开研究。首先介绍了磨矿分级优化控制系统的背景意义,分析了国内外磨矿分级控制系统的发展现状、存在问题及发展趋势。分析了现场磨矿分级系统的机理特性,提出了以提高磨矿分级效率和节能降耗为目标的分布式优化控制专家系统的控制方法,在原有的基础自动化系统上,通过网络连接控制专家系统服务器,从而实现基础自动化系统的智能化控制。提出了分布式优化控制专家系统的架构,由一段磨矿优化控制专家子系统、二段磨矿优化控制专家子系统和协同控制子系统组成。通过对一段磨矿分级系统的磨矿控制流程、磨矿设备的主要控制参数作用机理以及一段磨矿分级系统控制操作经验的分析与综合,提出了一段磨矿分级系统优化控制方法;通过对二段磨矿分级流程、旋流器及其主要参数的机理特性的分析以及二段磨矿系统优化控制控制经验的分析与综合,提出了二段磨矿分级系统的优化控制方法;通过对两段磨矿分级的相互作用机理分析,提出了两段磨矿分级优化控制专家系统的协同控制方法;设计了磨矿分级分布式优化控制专家系统的软件功能模块。控制专家系统通过OPC与基础自动化系统的PLC进行通信,通过改变基础自动化系统控制回路的给定值,实现对磨矿分级过程参数的优化控制。本文的研究成果已成功应用于玉溪大红山铁矿三选厂的磨矿分级作业,提高了磨矿分级效率、稳定了磨矿产品质量和实现增产节能降耗,取得了显著的经济、社会效益。
[Abstract]:Grinding and classification is the most important link in the process of ore dressing production, which is directly related to the processing capacity of mineral processing production and the quality of grinding products, and has an important impact on the indexes of subsequent separation and even on the technical and economic indexes of the whole concentrator. At present, the automatic control of grinding classification in China is mainly based on the stable operating parameters, and the given value of the control loop still depends on manual setting. The quality of the production index depends entirely on the experience and responsibility of the operator. Intelligent optimal control of grinding classification has always been an international technical problem in the field of mineral processing. In this paper, the grinding classification operation in No. 3 dressing Plant of Yuxi Dahongshan Iron Mine is studied. Firstly, the background significance of the grinding classification optimization control system is introduced, and the present situation, existing problems and development trend of the grinding classification control system at home and abroad are analyzed. This paper analyzes the mechanism and characteristics of the on-site grinding classification system, and puts forward the control method of the distributed optimal control expert system aiming at improving the grinding classification efficiency and saving energy and reducing consumption, which is based on the original basic automation system. The intelligent control of the basic automation system is realized by connecting the network to control the expert system server. The architecture of distributed optimal control expert system is proposed, which consists of expert subsystem of one-stage grinding optimization control, expert subsystem of two-stage grinding optimization control and cooperative control subsystem. Based on the analysis and synthesis of the grinding control flow of the first stage grinding classification system, the mechanism of the main control parameters of the grinding equipment and the operation experience of the first stage grinding classification system, the optimal control method of the first stage grinding classification system is put forward. Based on the analysis of the two-stage grinding classification process, the mechanism characteristics of the cyclone and its main parameters, and the experience of the two-stage grinding system's optimal control control, the optimal control method of the two-stage grinding and classifying system is put forward. By analyzing the interaction mechanism of two-stage grinding classification, the cooperative control method of two-stage grinding classification optimization control expert system is put forward, and the software function module of grinding classification distributed optimization control expert system is designed. The control expert system communicates with the PLC of the basic automation system through OPC. By changing the given value of the control loop of the basic automation system, the optimal control of the parameters of the grinding classification process is realized. The research results of this paper have been successfully applied to the grinding and classification operation in No. 3 dressing Plant of Yuxi Dahongshan Iron Mine, which has improved the grinding classification efficiency, stabilized the quality of grinding products and realized the increase of production, energy saving and consumption reduction, and achieved remarkable economic and social benefits.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD928.9;TD951

【参考文献】