乌石化公司大型旋转设备在线监测系统的设计与实现
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摘要
随着社会的发展,现代化的监测是大型公司提高效率的保证,旋转机械状态监测是保障大型机组安全高效运行、防止恶性事故的有效手段。研究如何将计算机实时监测技术、网络技术应用于旋转机械状态监测,实现监测、诊断智能化,对于提高企业的效益和设备管理水平,具有积极的意义。
本文针对乌石化公司大型旋转设备在线监测管理的现状和信息化的要求,设计了一套操作界面简单、简单实用的乌石化公司大型旋转设备在线监测系统。本文从系统需求分析出发,按照软件工程的思想,建立了系统框架,并提出了旋转机械实时在线状态监测系统服务器和客户端软件的设计目标。系统由采集工作站、数据库服务器、客户端和服务器组成,本文讨论的重点是服务器和客户端的软件设计。便于使用者、管理员和决策者动态的掌握设备的运行状态,改善了石化公司工作人员的工作强度,提高了工作效率,节约了成本。
系统对设备管理、监测实现一体化管理,为石化公司提供了现代化的监测功能,保证数据的真实可靠,为工作人员判断诊断结果提供有力的数据,杜绝人为的漏洞,避免因人为的因素而造成不必要的失误。本系统可以很好的为乌石化公司服务,提高医疗效率,满足公司的需求。
With the rapid development of science and technology, modern monitoring has gradually become an indispensible and efficient production for large scale petroleum enterprises. As one of the most important modern monitoring techniques, rotating machinery condition monitoring ensures large generating units a safe and efficient operation, also an effective means to prevent fatalities. Therefore, it is significant to study the application of real-time monitoring and network technology in rotating machinery condition monitoring to realize monitoring and diagnosis intelligent, improving the efficiency of enterprises and facilitating management.
According to informatization requirement and management situation of large rotating equipment in Urumqi Petrochemical Corporation, we designed a set of large rotating equipment online monitoring system with a friendly and practical operator interface. Based on system requirement analysis and concept of software engineering, it established the system framework and proposed a design plan for the real-time online monitoring systematic server and client software. The system includes workstation, database server and client server, we focus on the design of server and client server in this paper. The design will assist users, administrators and policy makers to grasp the dynamic of equipment running status. What’s more, it can ease labor intensity, raise efficiency and save costs.
Online monitoring system facilitated integrated management for equipment, it provided a modern monitoring function, ensured more reliable and strong data to diagnose fault, avoided man-made factors caused by mistakes. The research showed that the system served the Urumqi Petrochemical Company well, obviously improved health care efficiency and met the needs of the company.
本文针对乌石化公司大型旋转设备在线监测管理的现状和信息化的要求,设计了一套操作界面简单、简单实用的乌石化公司大型旋转设备在线监测系统。本文从系统需求分析出发,按照软件工程的思想,建立了系统框架,并提出了旋转机械实时在线状态监测系统服务器和客户端软件的设计目标。系统由采集工作站、数据库服务器、客户端和服务器组成,本文讨论的重点是服务器和客户端的软件设计。便于使用者、管理员和决策者动态的掌握设备的运行状态,改善了石化公司工作人员的工作强度,提高了工作效率,节约了成本。
系统对设备管理、监测实现一体化管理,为石化公司提供了现代化的监测功能,保证数据的真实可靠,为工作人员判断诊断结果提供有力的数据,杜绝人为的漏洞,避免因人为的因素而造成不必要的失误。本系统可以很好的为乌石化公司服务,提高医疗效率,满足公司的需求。
With the rapid development of science and technology, modern monitoring has gradually become an indispensible and efficient production for large scale petroleum enterprises. As one of the most important modern monitoring techniques, rotating machinery condition monitoring ensures large generating units a safe and efficient operation, also an effective means to prevent fatalities. Therefore, it is significant to study the application of real-time monitoring and network technology in rotating machinery condition monitoring to realize monitoring and diagnosis intelligent, improving the efficiency of enterprises and facilitating management.
According to informatization requirement and management situation of large rotating equipment in Urumqi Petrochemical Corporation, we designed a set of large rotating equipment online monitoring system with a friendly and practical operator interface. Based on system requirement analysis and concept of software engineering, it established the system framework and proposed a design plan for the real-time online monitoring systematic server and client software. The system includes workstation, database server and client server, we focus on the design of server and client server in this paper. The design will assist users, administrators and policy makers to grasp the dynamic of equipment running status. What’s more, it can ease labor intensity, raise efficiency and save costs.
Online monitoring system facilitated integrated management for equipment, it provided a modern monitoring function, ensured more reliable and strong data to diagnose fault, avoided man-made factors caused by mistakes. The research showed that the system served the Urumqi Petrochemical Company well, obviously improved health care efficiency and met the needs of the company.
引文
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[3]龙锋.电容型设备介质损耗因数在线监测研究[D].成都:西南交通大学,2004
[4]肖登明.电力设备在线监测与故障诊断[M].上海:上海交通大学出版社,2005:7-77
[5]陈天翔,鲁华祥,张保会,马晓燕,李彪.电力设备在线监测技术[M].北京:中国电力出版社,2008:1-31,137-154
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[8]高振国.电容型设备介损在线监测方法研究[D].沈阳:沈阳工业大学,2007
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[11]龙锋,王富荣,李大进,刘永生.基于DSP的容性设备介质损耗因数在线监测方法[J].电力系统自动化,2004,28(19):71-74
[12] Zhang Liyong, Wang Xuewei, Zhou Haibo, Liang Yuanhua. The Error BoundsEstimation of Interpolating Windowed FFT for Harmonic Analysis Algorithm[J]. ACTAMETROLOGICA SINICA, 2004, 25(4): 353-356
[13] Allan D et al. New techniques for monitoring the insulation quality of in-service HVapparatus[J]. IEEE Transactions on Electrical Insulation, 1992, 27(3): 578-581
[14]刘剑.容性设备分布式绝缘在线监测系统及介损值算法研究[D].长沙:湖南大学,2004
[15]吕小静.基于DSP的介质损耗变频测量系统的研究[D].武汉:武汉大学,2004
[16]王昕.变电站高压电容性设备绝缘在线监测系统的研究[D].北京:华北电力大学,2002
[17]左自强.电容型电力设备tanδ在线监测技术研究[D].西安:西安交通大学,2005
[18]陈丽.电容型设备介质损耗因数在线监测技术的研究[D].保定:河北农业大学2004
[19]程佩青.数字信号处理教程[M].北京:清华大学出版社,2007
[20]李维波.MATLAB在电气工程中的应用[M].北京:中国电力出版社,2007
[21]梁甲文.电气设备的绝缘在线监测与状态检修[D].济南:山东大学,2005
[22]吕跃强.绝缘在线监测系统中tgδ在线监测的研究[D].长沙:湖南大学,2003
[23]戴昌彬,洪贞贤.电容型试品介质损耗因数变化的原因与分析[J].变压器,2002,39(9):38-41
[24]胡广书.现代信号处理[M].北京:清华大学出版社,2004:292-295,358-370
[25]吉雷.Protel99从入门到精通[M].西安:西安电子科技大学出版社,2000
[26]刘爱荣,王振成,曹瑞,卢印举.EDA技术与CPLD/FPGA开发应用简明教程[M].北京:清华大学出版社,2007
[27]薛小刚,葛毅敏.Xilinx ISE 9.x FPGA/CPLD设计指南[M].北京:人民邮电出版社,2007
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[29] Huang Xinhong, Yan Zhang, Zhang Junhui. Research on signals sampling system of theon-line insulation diagnosing device of power equipment[C]. In: Proceedings of the 6thICPADM, June 21-26, Xi’an, China, pp. 701-704
[30]刘润华.模拟电子技术[M].东营:石油大学出版社,2001
[31]董传岱,于云华.数字电子技术[M].东营:石油大学出版社,2001
[32]王学萌,张继忠,王荣.灰色系统分析及实用计算程序[M].武汉:华中科技大学出版社,1996:8-26
[33] Texas Instruments Incorporated.TMS320C28x系列DSP的CPU与外设(上)[M].张卫宁编译.北京:清华大学出版社,2004
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[35]尚勇,杨敏中,严璋.高压电力设备绝缘状态监测判据选择[J].中国电力,2001,34(4):53-55
[36]谭浩强.C程序设计[M].第二版.北京:清华大学出版社,2002:1-365
[37]柴旭峥,文习山,关根志等.绝缘在线监测采样数据的两种预处理算法[J].高电压技术,2002,28(9):26-27
[38] Alessandro Ferrero, Roberto Ottoboni. High Accuracy Fourier Analysis Based onSynchronous Sampling Techniques[J]. IEEE Trans. on IM, 1992, 41(6): 780-785
[39]陈天翔,张保会,陈天韬.新型电容型电力设备tgδ在线高精确度测量系统[J].电力系统自动化,2004,28(15):67-70
[40]徐大可.变电站电气设备在线监测综述[J].变压器,2002,39(S1):6-10
[41]廖瑞金,王忠毅,孙才新等.电气设备介质损耗监测的谐波分析法及其特性[J].重庆大学学报,1999,22(3):67-71
[42]王楠,律方成,梁英等.基于高精度DFT的介损数字测量方法[J].高电压技术,2003,29(4):3-5,8
[43] Harris F J. On the use of windows for harmonic analysis with the discrete Fouriertransform. Proc. IEEE., 1978, 66(1): 51-83
[44] Jain V K, Collins W L, Davis D C. High-accuracy analog measurements viaimterpolated FFT. IEEE Trans on Instrum. Meas., 1979, 28(6): 113-122
[45] Andria G, Savino M, TrottaA. Windows and interpolation algorithms to improve electricmeasurement accuracy. IEEE Trans on Instrum. Meas., 1989, 38(8): 856-863
[46]程玲.电力系统设备状态监测与故障诊断[J].水电厂自动化,2008,29(3):67-69
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