摘要
随着现代工业和科学技术的快速发展,机械设备也在朝超高速、超载荷、超精密的方向发展并具有机电一体化、数字化、网络集群化等特点。锅炉设备对于化工厂设备来说,属于重大机械设备其系统复杂、自动化程度高,是高故障率和故障危害性较大的场所。对锅炉设备运行状态实施监测与分析、设备故障进行及时诊断与维修,是保障锅炉设备安全运行、防止恶性事故发生,进而提高生产效率的重要手段之一。
本论文以玉溪银河化工厂55t/h三废锅炉设备故障为研究对象,应用CBR和Agent技术,力图设计一个具有智能性、协作性、分布式的基于CBR与Agent技术的三废锅炉故障诊断系统,以满足三废锅炉设备复杂,非线性、时变、强耦合严重,难以建立精确的数学模型故障诊断的需求。
首先介绍了项目选题背景和意义,并对现阶段锅炉设备诊断技术研究状况做了论述,针对玉溪银河化工三废锅炉的故障诊断系统设计所需要的关键技术进行说明。
其次,文章对玉溪银河化工厂三废锅炉设备故障诊断进行需求分析,并据此提出基于CBR与Agent技术的三废锅炉故障诊断系统的总体设计方案以及三废锅炉设备故障诊断案例库与故障诊断Agent群组的基本设计思路。
再次,从案例的表示、案例库中的案例组织形式以及案例的检索方式三方面详细的说明基于CBR故障诊断案例库的组建。并且对三废锅炉故障诊断系统中故障诊断Agent群组进行设计说明：从结构、工作状态以及工作流程三个方面对故障诊断Agent、CBR案例管理Agent、数据交互Agent以及数据预处理Agent进了研究与设计。
然后,论文给出了基于CBR与Agent技术的三废锅炉故障诊断系统的初步实现过程,主要从系统数据库表的设计,各Agent功能实现以及Agent间的协作通信方面来给出。并设计了三废锅炉故障诊断系统仿真实验对文中提到的思想和算法进行初步验证。
最后,对论文的主要工作进行总结,分析说明了论文研究的不足之处,并对论文下一步的发展与研究做出了展望。
With the development of science and technology, in modern industry the mechanical equipment have developed in the direction of super-fast, super-load, ultra-precision.And it has some features such as mechatronics, digital, network clustering and so on. The boiler equipments for a chemical factory are the major and complex mechanical equipment and possess high failure rate and greater harm. The monitoring and analysis for the boiler equipment to realize the fault diagnosis and maintaining can strengthen safe management and accident prevention to improving production efficiency.
In this thesis, Yuxi Yinhe Chemical industry's 55t/h three waste boiler was chosen as research object and trying to design an intelligent, collaborative, distributed waste boiler fault diagnosis system, that can to meet the demand for the waste boiler fault diagnosis of the complex, nonlinear, time-varying, strong coupling serious and difficult to establish accurate mathematical model, based on CBR and Agent technology.
Firstly, it introduces the background and significance of this project and expounds the current research status of the boiler equipment diagnosis technology. It also gives the description of the key technology.
Secondly, Requirements on the three waste boiler fault diagnosis system are obtained and a three waste boiler fault diagnosis system based on CBR and Agent technology is designed. The ideas of the case database and agent group for fault diagnosis are propounded in this paper.
Thirdly, the formation process of the fault diagnosis case database is approached from the following aspects:the case expression, the case organization and the case retrieval. The agent group for fault diagnosis is approached from the structure, work status and of workflow three aspects. The group includes the fault diagnosis Agent, CBR case management Agent, the data pre-processing Agent and the data exchange Agent.
Then, the dissertation implements the design of database, the particular design of agent function module and the cooperation and communication between agents. And designed a waste boiler fault diagnosis system simulation experiments verify the idea and algorithm which was mentioned in this initial.
Finally, summarize the main work of this paper, and analysis shows the inadequacy of the research. Then make the next step of development and research.
引文
[1]何慧龙,王太勇,胥永刚等.面向设备管理的网络化机械设备故障诊断系统的实现.[J].吉林大学学报(工学版),2006,36(5)：691-695
[2]杨国栋.锅炉故障预测方法探析.[J].科技信息,2009,26(24)：677
[3]丁黎明.玉溪银河化工厂55t/h三废锅炉控制系统的设计与实现[硕士学位论文].昆明,昆明理工大学,2010
[4]鄂加强.智能故障诊断及其应用.[M].湖南,湖南大学出版社,2006
[5]李萍,卢洪波,刘士祥.锅炉故障诊断综述：[J].工程技术,2007
[6]王道平,张义忠.故障智能诊断系统的理论与方法.[M].北京：冶金工业出版社,2001
[7]钟秉林,黄仁.机械故障诊断学.[M].第2版.北京：机械工业出版社,2002.2
[8]肖正华.国内外设备故障诊断技术概述,力情报.2004,(4)
[9]Frank, P.M. Fault Diagnosis in Dynamic System Using Analytical and Knowledge. Based Reduneancy-A Survey and Some New Results.Automatica, 1990:26(3):459-474
[10]徐敏.欧美大型旋转机械监测诊断技术发展近况与综述.第七届全国机械设备故障诊断学术会议论文集.杭州.2004
[11]李满林译.燃煤火力发电厂支援系统电站.[J].系统工程.1991.2
[12]程道来.国内电站故障诊断系统的现状及发展方向.[J].动力工程,2004.2
[13]张建.火电厂锅炉故障诊断系统设计[硕士学位论文].保定,华北电力大学,2008
[14]冯博琴.实用专家系统.[M].北京：电子工业出版社,1999
[15]陈艳容.混合智能诊断方法在锅炉故障诊断中的应用研究.[硕士学位论文].重庆,重庆大学,2001
[16]Joseph Giarratano专家系统原理与编程.[M].机械工业出版社.2000.5：41-65
[17]刘岗.基于分层混合专家网络的锅炉故障诊断软件的开发.[硕士学位论文].重庆,重庆大学,2002
[18]程鹏(ABB公司),钟芳源(上海交大).BAM神经网络在热力参数故障诊断中的应用和模式编码方法的改进.[J].电站系统工程,1995,11(3)：56-59
[19]孔鹏.电站锅炉在线诊断的实时支持平台[J].清华大学学报(自然科学版),1997.1(37)：100-103
[20]毕美华,肖立川.薛国新(江苏石油化工学院).基于模糊数学和RBF神经网络的事故预测.[J].热能动力工程.2000(7)：426-428
[21]王民汉,吴占松,王斌忠等.煤粉炉结渣实时诊断与监控模型.[J].动力工程,2003,23(2)：2303-2307
[22]Lv Yanmei, Sun Jiangsheng, Feng Guangbin. Design of Fault Diagnosis Expert System based on Neural Network Source.[J].Proceedings of the International Symposium on Test and Measurement,2003:195-198
[23]周东华,王桂增.故障诊断技术综述.[J].化工自动化及仪表,1998：25(1)：58-62
[24]周鸣歧,徐军.控制系统的故障诊断.[J].计算机自动测量与控制,2000：8(3)：5-8
[25]刘金琨.人工智能在高炉炉况判断中的理论与应用研究[博士学位论文].吉林,东北大学,1996
[26]王雪,李军旗,史铁林等.基于知识的机械设备故障诊断的解释学习问题.[J].华中理工大学学报,1994：22(7)：15-18
[27]谭政华,胡光锐.计算智能在故障诊断专家系统中的应用.[J].计算机工程与应用.1999,6：7-9
[28]黄苏南,邵惠鹤.基于信息的专家系统理论及应用.[J].控制与决策.1995：10(2)：119-126
[29]王日新.基于案例推理的智能诊断技术研究及应用.[博士学位论文].黑龙江,哈尔滨工业大学,2005：13-16
[30]魏刚,石全,程中华.基于CBR和RBR的维修性设计技术智能化.[J].计算机工程,2003：188-190
[31]黄玉基,魏伟杰,曾文.基于事例推理系统中检索策略的分析与研究.[J].东北大学学报(自然科学版),2006.27(1)：33-36
[32]闻新,周露,张洪钺.控制系统故障的智能诊断技术.[J].火力与指挥控制,1998,23(4)：1-9
[33]Buse D P, Wu Q H.IP Network-based Multi-Agent Systems for Industrial Automation:Information Management Condition Monitoring and Control of Power Systems. London,2007
[34]高济,朱淼良,何钦铭.人工智能基础.[M].北京,高等教育出版社,2002
[35]Woodridge M, Fisher M. A First-order Branching Time logic of Multi-agent Systems.ECAI-92:Vienna, Austria,1992:234-238
[36]Brown C.AI on the WWW.Supply and Demand Agent.IEEE Expert,1995:50-55
[37]Wooldridge M, Jennings N R.Intelligent Agent:Theory and practice.The Knowledge Engineer Review,1995.10(2):115-152
[38]Sycara K, Paolucci M, Velsen M etc.The RETSIN MAS infrastructure. Autonomous Agent and Multi-Agent systems,2003.7(1-2):27-48
[39]Bordini RH, Dastani M, Dix J. Mutli-Agent Programming:Languages, Platforms and Applications. Multiagent System, Artificial Societies, and Simulated Organizations.2005.15
[40]Jennings N R. Commitment and Cooperative Problem Solving:Industrial Multi-Agent Systems Using Joint Intentions. Artificial Intelligence.1995.75:195-240
[41]Wu Q H, Feng J Q, Tang W H ets.Multi-agent based substation automation systems.IEEE PES 2005 General Meeting, an Francisco,California,USA.2005
[42]Xiaoying Liu.Fault diagnosis technology for complex process. Proceedings of the First China-Japan International Workshop on Internet Technology and Control Applications.2001,7
[43]曹敏,金以慧.多Agent系统的研究和应用.[J].清华大学学报,2000.2：71-75
[44]Fabio Bellifemine, Giovanni Caire, Tiziana Trucco ets.JADE Programmer's guide [EB/OL].http://Sharon.cselt.it/projects/jade/doc/programmers guide. PDF
[45]陈敏.基于JADE平台的信息代理的研究现状.[硕士学位论文].广东,暨南大学,2004
[46]李志芳.基于模糊模型的多Agent协同故障诊断研究.[J].太原理工大学学报2005,5(2)：16-19