模糊专家系统在高炉炉温预测中的研究与应用
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摘要
在高炉冶炼过程中,保持合理的炉温是高炉生产稳定运行的关键因素之一,高炉生产过程的顺利进行,仍然取决于人们在生产中所积累的经验。这种操作方式很难完全满足高炉稳定顺行的要求,故借助于现代科学中的计算机技术、信息技术及人工智能技术来提高高炉生产的自动化水平就成为了当务之急。
本论文的研究目的利用模糊专家系统的知识,把高炉冶炼专家的经验进行总结,数据采集采用OPC技术,提出了基于模糊专家系统的高炉炉温预测系统。
本论文研究工作主要涉及到高炉炉温预测参数的选择、高炉炉温预测与模糊专家系统的综合考虑,而在高炉专家系统的研究和开发中,高炉过程数据的来源和采集方式更是系统运行的先决条件和重要的一部分。论文首先通过高炉炉温变化机理的研究选取了预报炉温所需要的参数,然后通过模糊专家系统的知识将参数模糊化、建立模糊规则库、选择合适的模糊推理机和解模糊器。利用自动化中OPC数据传输协议采集高炉过程数据.在这些基础上介绍了高炉炉温预测模糊专家系统的分析与设计。最后,本文对整个研究工作做了进行了总结与展望。
In the blast furnace smelting process, maintain a reasonable temperature is stable operation of blast furnace production of one of the key factors. BF production process to proceed smoothly, still depends on the production people have accumulated experience. This mode of operation is difficult to completely satisfy BF stability with the requests, and therefore the help of modern science and computer technology, information technology and artificial intelligence techniques to improve blast furnace production level of automation has become the top priority.
In this paper, the purpose of the study using the fuzzy expert system knowledge, blast furnace smelting experts sum up the experience, Data acquisition using OPC technology, based on the fuzzy expert system BF Temperature Forecast System.
The main thesis research work related to blast furnace temperature forecast parameters, BF Temperature Forecast and fuzzy expert system considered, and in BF expert system research and development, BF process of data sources and collection methods the system is a prerequisite and an important part. The paper first blast furnace temperature changes through the mechanism of selecting the forecast temperature required parameters, then the fuzzy expert system knowledge of fuzzy, establish the fuzzy rule base, choice of Fuzzy Inference Engine and Defuzzifier for reconciliation. Use of automation OPC data transmission protocol blast furnace process data acquisition. In these foundations on the blast furnace temperature forecast fuzzy expert system analysis and design. Finally, the entire research paper on the work of summing up and Prospect.
本论文的研究目的利用模糊专家系统的知识,把高炉冶炼专家的经验进行总结,数据采集采用OPC技术,提出了基于模糊专家系统的高炉炉温预测系统。
本论文研究工作主要涉及到高炉炉温预测参数的选择、高炉炉温预测与模糊专家系统的综合考虑,而在高炉专家系统的研究和开发中,高炉过程数据的来源和采集方式更是系统运行的先决条件和重要的一部分。论文首先通过高炉炉温变化机理的研究选取了预报炉温所需要的参数,然后通过模糊专家系统的知识将参数模糊化、建立模糊规则库、选择合适的模糊推理机和解模糊器。利用自动化中OPC数据传输协议采集高炉过程数据.在这些基础上介绍了高炉炉温预测模糊专家系统的分析与设计。最后,本文对整个研究工作做了进行了总结与展望。
In the blast furnace smelting process, maintain a reasonable temperature is stable operation of blast furnace production of one of the key factors. BF production process to proceed smoothly, still depends on the production people have accumulated experience. This mode of operation is difficult to completely satisfy BF stability with the requests, and therefore the help of modern science and computer technology, information technology and artificial intelligence techniques to improve blast furnace production level of automation has become the top priority.
In this paper, the purpose of the study using the fuzzy expert system knowledge, blast furnace smelting experts sum up the experience, Data acquisition using OPC technology, based on the fuzzy expert system BF Temperature Forecast System.
The main thesis research work related to blast furnace temperature forecast parameters, BF Temperature Forecast and fuzzy expert system considered, and in BF expert system research and development, BF process of data sources and collection methods the system is a prerequisite and an important part. The paper first blast furnace temperature changes through the mechanism of selecting the forecast temperature required parameters, then the fuzzy expert system knowledge of fuzzy, establish the fuzzy rule base, choice of Fuzzy Inference Engine and Defuzzifier for reconciliation. Use of automation OPC data transmission protocol blast furnace process data acquisition. In these foundations on the blast furnace temperature forecast fuzzy expert system analysis and design. Finally, the entire research paper on the work of summing up and Prospect.
引文
[1]蔡自兴,徐光祐.人工智能及其应用,北京;清华大学出版社,2004
[2]尹朝庆,尹皓.人工智能与专家系统,北京;中国水利水电出版社,2001
[3]刘有才,刘增良编著.模糊专家系统原理与设计,北京;北京航空航天大学出版社,1995
[4]曹谢东.模糊信息处理及应用,北京;科学出版社.2003
[5]王立新.模糊系统与模糊控制教程,北京;清华大学出版社.2003
[6]蔡自兴,约翰德尔金,龚淘.高级专家系统;原理、设计及应用,北京;科学出版社,2005
[7]武波,马玉祥.专家系统,北京;北京理工大学出版社,2003
[8]许力.智能控制与智能系统,北京;机械工业出版社,2006
[9]李凡.模糊专家系统,武汉;华中理工大学出版社,1995
[10]周传典.高炉炼铁生产技术手册,北京;冶金工业出版社,2002
[11]贾艳,李文兴.高炉炼铁基础知识,北京;冶金工业出版社.2005
[12]由文泉.实用高炉炼铁技术,北京;冶金工业出版社.2002
[13]毕学工.高炉过程数学模型及计算机控制,北京;冶金工业出版社,1996
[14]刘详官,刘芳.高炉炼铁过程优化与智能控制系统,北京;冶金工业出版社,2003
[15]刘蚧,马竹梧.炼铁生产自动化技术,北京;冶金工业出版社,2005
[16]陈令坤.我国高炉专家系统开发的现状.炼铁杂志.2001
[17]吴胜利.基于模糊数学的高炉炉况预测模型.钢铁杂志.2001
[18]黄波,汪卫.基于高炉专家系统的多变量炉温智能控制系统.钢铁杂志.2005
[19]刘金琨.人工智能在高炉炉况判断中的理论与应用研究.系统工程.1998
[20]陈令坤.武钢4号高炉专家系统的应用.炼铁杂志.2001
[21]陈令坤.武钢4号高炉冶炼过程专家系统开发概况.武钥技术.1998
[22]那树人.铁水含硅量预报与控制模型的研究.包头钢铁学院学报.2002
[23]施金良.人工智能高炉冶炼过程专家系统.重庆大学学报.2005
[24]顾晓.过程计算机在武钥4号高炉上的应用.武钢技术.1998
[25]王海瑞,钟家玉.用Delphi开发OPC客户端工具的方法研究.控制系统.2004
[26]汪晓平.PLC可编程控制器系统开发实例导航--计算机接口技术系列,北京;人民邮电出版社.2004
[27]瞿坦.计算机网络及其应用,北京;化学工业出版社.2002
[28]Joseph Giarratano,Gary Riley著,印鉴,刘星成.汤庸译.专家系统原理与编程,北京;机械工业出版社,2000
[29]Aoki,T.et al.,50th Ironmaking Conf.Proc.,Washington,1991
[30]Nakajima,R.et al.,铁之钢,73(1987)
[31]Tong,W.A.,Iron and Steelmaker,1991,Jan
[32]Poghis,N.et al.,48th Ironmaking Conf.Proc.,Chicago,1989
[33]Haimi,S.et al.,52nd Ironmakong Conf.Proc.,1993
[34]Kundrat,D.M.,Sth Int.Iron and Steel Congress,Process Techonology Proc.,Washington,1986
[35]Fukumura,S.,Sanou,K.,Kawasaki Steel Technical Report,1992
[36]Tsunozaki,Y.et al.,Nippon Kokan Technical Report,Overseas.1987
[37]Bulsari,A.,Saxen,H..,IFAC Workshop on Expert Systems in Mineral and Metal Processing(Abstracts),Helsinki,1991
[38]http;//www.opc_china.com
[2]尹朝庆,尹皓.人工智能与专家系统,北京;中国水利水电出版社,2001
[3]刘有才,刘增良编著.模糊专家系统原理与设计,北京;北京航空航天大学出版社,1995
[4]曹谢东.模糊信息处理及应用,北京;科学出版社.2003
[5]王立新.模糊系统与模糊控制教程,北京;清华大学出版社.2003
[6]蔡自兴,约翰德尔金,龚淘.高级专家系统;原理、设计及应用,北京;科学出版社,2005
[7]武波,马玉祥.专家系统,北京;北京理工大学出版社,2003
[8]许力.智能控制与智能系统,北京;机械工业出版社,2006
[9]李凡.模糊专家系统,武汉;华中理工大学出版社,1995
[10]周传典.高炉炼铁生产技术手册,北京;冶金工业出版社,2002
[11]贾艳,李文兴.高炉炼铁基础知识,北京;冶金工业出版社.2005
[12]由文泉.实用高炉炼铁技术,北京;冶金工业出版社.2002
[13]毕学工.高炉过程数学模型及计算机控制,北京;冶金工业出版社,1996
[14]刘详官,刘芳.高炉炼铁过程优化与智能控制系统,北京;冶金工业出版社,2003
[15]刘蚧,马竹梧.炼铁生产自动化技术,北京;冶金工业出版社,2005
[16]陈令坤.我国高炉专家系统开发的现状.炼铁杂志.2001
[17]吴胜利.基于模糊数学的高炉炉况预测模型.钢铁杂志.2001
[18]黄波,汪卫.基于高炉专家系统的多变量炉温智能控制系统.钢铁杂志.2005
[19]刘金琨.人工智能在高炉炉况判断中的理论与应用研究.系统工程.1998
[20]陈令坤.武钢4号高炉专家系统的应用.炼铁杂志.2001
[21]陈令坤.武钢4号高炉冶炼过程专家系统开发概况.武钥技术.1998
[22]那树人.铁水含硅量预报与控制模型的研究.包头钢铁学院学报.2002
[23]施金良.人工智能高炉冶炼过程专家系统.重庆大学学报.2005
[24]顾晓.过程计算机在武钥4号高炉上的应用.武钢技术.1998
[25]王海瑞,钟家玉.用Delphi开发OPC客户端工具的方法研究.控制系统.2004
[26]汪晓平.PLC可编程控制器系统开发实例导航--计算机接口技术系列,北京;人民邮电出版社.2004
[27]瞿坦.计算机网络及其应用,北京;化学工业出版社.2002
[28]Joseph Giarratano,Gary Riley著,印鉴,刘星成.汤庸译.专家系统原理与编程,北京;机械工业出版社,2000
[29]Aoki,T.et al.,50th Ironmaking Conf.Proc.,Washington,1991
[30]Nakajima,R.et al.,铁之钢,73(1987)
[31]Tong,W.A.,Iron and Steelmaker,1991,Jan
[32]Poghis,N.et al.,48th Ironmaking Conf.Proc.,Chicago,1989
[33]Haimi,S.et al.,52nd Ironmakong Conf.Proc.,1993
[34]Kundrat,D.M.,Sth Int.Iron and Steel Congress,Process Techonology Proc.,Washington,1986
[35]Fukumura,S.,Sanou,K.,Kawasaki Steel Technical Report,1992
[36]Tsunozaki,Y.et al.,Nippon Kokan Technical Report,Overseas.1987
[37]Bulsari,A.,Saxen,H..,IFAC Workshop on Expert Systems in Mineral and Metal Processing(Abstracts),Helsinki,1991
[38]http;//www.opc_china.com