胶带输送机智能化保护控制系统的研究
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摘要
胶带输送机是有牵引件的连续运输设备,它是现代输送系统最重要的一个环节,广泛应用于燃运、冶金、选矿、化工等领域。在各种输送系统中,对于胶带机的保护尤为重要。目前,九江石化电厂胶带机输煤系统存在自动化、智能化程度低,保护措施不健全等问题,基于此,本文研究设计了胶带输送机智能化保护系统。
本文主要从检测和监控两部分展开研究。检测部分为自行开发的智能仪表,仪表的核心采用TI公司的低功耗单片机MSP430F149,主要负责对现场各个胶带牵引电机的电压、电流和胶带速度等参数进行检测,其中胶带的速度调整采用模糊控制算法,使胶带的运行速度始终保持在允许的范围内,一旦超出设定值自动联锁停机保护;监控部分采用界面友好的组态王6.51开发,具有信号采集、故障报警、报表自动生成及打印和帮助系统等功能,能对各种监控参数进行动态管理和控制,满足了用户的需求。仪表软件部分用C语言开发,编制了模糊算法,整体结构采用模块化结构编程,可以方便系统功能的增减。采用亚当模块的协议和基于RS485总线的数据传输,实现了智能仪表与上位机的通信功能。
研究应用结果表明,该保护系统提高了整个燃运系统的智能化程度,确保电厂生产的稳定与安全,各项功能都达到了设计要求。同时,研究设计的系统以其使用灵活、人机界面友好等特点赢得了用户的认可。此外,该研究成果还对其它工程有参考意义,研发成功的智能化保护仪表也具有很大的应用推广价值。
Belt conveyor is a transportation equipment with continuous of traction pieces. It is the most important aspect of the modern transportation system, which is widely used in fuel transport, metallurgy, mineral separation, chemical industry and other fields. It is important to protect belt conveyors of burning coal transport in various transportation systems. At present, there is no highly automatic, intelligent or sound protection measure in the belt conveyors transmission coal system of Jiujiang Petrochemical power plant. For this reason, a sort of intelligent protection system for belt conveyors is designed in this thesis.
The system is mainly composed of two parts: that is the detecting part and the monitoring part. The detecting part is an intelligent instrument made by the author and his partners, and the core of intelligent instrument is made up of low power MCU MSP430F149 of TI Corp, which is mainly responsible for collecting voltage, current, and belt speed and other parameters of the traction motors. In addition, the belt speed is regulated by fuzzy control algorithm so that it remains within the scope permitted. Once it goes beyond the set value, the motor will be stopped to protect the belt. The monitoring part is designed with kingview6.51 with its friendly interface. Its functions include signal collection, fault alarm, automatic report generation and printing, and a help system etc, which enable it to dynamically manage and control all monitoring parameters so as to meet the needs of users. The meter software is developed with C language and fuzzy algorithm. Its whole structure is programmed with module so that the system functions can be conveniently increased or decreased. The communications between intelligent instrument and PC is made possible with ADAM module’s protocol and based on RS485 bus.
The application has proved that the protection system can improve intelligent degree of the whole burning coal transport and ensure stability and security of the power plant, and that all its functions have met the design requirements. The system won the user’s satisfaction and recognition with its flexible operation and friendly user-computer interface. In addition, the system is of some reference significance to other projects and there is a bright market for the successfully developed intelligent instrument.
本文主要从检测和监控两部分展开研究。检测部分为自行开发的智能仪表,仪表的核心采用TI公司的低功耗单片机MSP430F149,主要负责对现场各个胶带牵引电机的电压、电流和胶带速度等参数进行检测,其中胶带的速度调整采用模糊控制算法,使胶带的运行速度始终保持在允许的范围内,一旦超出设定值自动联锁停机保护;监控部分采用界面友好的组态王6.51开发,具有信号采集、故障报警、报表自动生成及打印和帮助系统等功能,能对各种监控参数进行动态管理和控制,满足了用户的需求。仪表软件部分用C语言开发,编制了模糊算法,整体结构采用模块化结构编程,可以方便系统功能的增减。采用亚当模块的协议和基于RS485总线的数据传输,实现了智能仪表与上位机的通信功能。
研究应用结果表明,该保护系统提高了整个燃运系统的智能化程度,确保电厂生产的稳定与安全,各项功能都达到了设计要求。同时,研究设计的系统以其使用灵活、人机界面友好等特点赢得了用户的认可。此外,该研究成果还对其它工程有参考意义,研发成功的智能化保护仪表也具有很大的应用推广价值。
Belt conveyor is a transportation equipment with continuous of traction pieces. It is the most important aspect of the modern transportation system, which is widely used in fuel transport, metallurgy, mineral separation, chemical industry and other fields. It is important to protect belt conveyors of burning coal transport in various transportation systems. At present, there is no highly automatic, intelligent or sound protection measure in the belt conveyors transmission coal system of Jiujiang Petrochemical power plant. For this reason, a sort of intelligent protection system for belt conveyors is designed in this thesis.
The system is mainly composed of two parts: that is the detecting part and the monitoring part. The detecting part is an intelligent instrument made by the author and his partners, and the core of intelligent instrument is made up of low power MCU MSP430F149 of TI Corp, which is mainly responsible for collecting voltage, current, and belt speed and other parameters of the traction motors. In addition, the belt speed is regulated by fuzzy control algorithm so that it remains within the scope permitted. Once it goes beyond the set value, the motor will be stopped to protect the belt. The monitoring part is designed with kingview6.51 with its friendly interface. Its functions include signal collection, fault alarm, automatic report generation and printing, and a help system etc, which enable it to dynamically manage and control all monitoring parameters so as to meet the needs of users. The meter software is developed with C language and fuzzy algorithm. Its whole structure is programmed with module so that the system functions can be conveniently increased or decreased. The communications between intelligent instrument and PC is made possible with ADAM module’s protocol and based on RS485 bus.
The application has proved that the protection system can improve intelligent degree of the whole burning coal transport and ensure stability and security of the power plant, and that all its functions have met the design requirements. The system won the user’s satisfaction and recognition with its flexible operation and friendly user-computer interface. In addition, the system is of some reference significance to other projects and there is a bright market for the successfully developed intelligent instrument.
引文
[1]廖伯瑜.机械故障诊断基础.第1版.北京:冶金工业出版社,1995.30～60
[2] Hellwig, H.The importance of measurement in technology-based competition.IEEE Transactions on Instrumentation and Measurement,1990,39(5):685~688
[3] Jeinsch, T.Sader, M.Noack, R.Barber, K.Ding, S.X.Zang, P.Zhong, M.A robust odel-based information system for monitoring and fault detection of large scale belt conveyor systems. Proceedings of the 4th World Congress on Intelligent Control and Automation, 2002,4: 3283~3287
[4] Jackson, K.D.McCulloch, M.D.Landy,C.F.A study of the suitability of electric drives to the task of driving Conveyors.IEEE Industry Applications Society Annual Meeting, 1993, 1: 488~495
[5]夏扬,郭速学,华勇等.计算机控制技术.第1版.北京:机械工业出版社,2004.1～158
[6]张春光,王秀鹏.基于分布式网络的火电厂运煤自动化系统.电气传动自动化.2001,23(6):37～38
[7] L.A Zadeh.Fuzzy Set. Information and Control,1965,(8):338~353
[8] R.E.Bellman and L.A.Zadeh.Decision making in a fuzzy environment, Manage. Sci.,1970,17:141~164
[9]章卫国,杨向忠.模糊控制理论及应用.第1版.西安:西北工业大学出版社,1999.88～107
[10] Loos J.R..Fuzzy Logic and neural networks. Intech,1994,41(11):20~26
[11]谢承泮.神经网络发展综述.科技情报开发与经济.2006,16(12):148～150
[12]王永骥.神经元网络控制.第1版.北京:机械工业出版社,1998.1～20
[13] Melander S.Theoretical and practical background of a new type of conveyor belt.bulk solids handling, 1986, 6(5):941~946
[14]龙清朵.一种电路简单、工作可靠的胶带打滑保护器.中国设备工程,2002,(1):25～26
[15]李卫国.胶带输送机的安全保护.山西煤炭.1999,19(3):59～62
[16]韩志刚.胶带输送机胶带跑偏的防治.河北煤炭.2003,(4):46～47
[17] Leehter Yao.Fuzzy control of belt conveyor in the manufacturing process. IEEE/IAS Conference on Industrial Automation and Control: Emerging Technologies,1995,748~754
[18] Ma Xian-Min.Genetic Taboo Hybrid Strategy for PID Regulator Parameter Adaptation in Belt Conveyor. International Conference on Machine Learning and Cybernetics,2006,607~612
[19] A.Harrison.Nondestructive Testing of Industrial Steel-cord Conveyor Belts. Process Eng, 1980,(6):22~23
[20] Cao, S.G. Rees, N.W.Feng, G.Stability analysis of fuzzy control systems.IEEE Transactions on Systems,Man and Cybernetics,Part B,1996,26(1):201~204
[21] P.P.Bonissone, V.Badami, K.H.Chiang, P.S.Khedkar, K.W.Marcelle, and M.J.Schutten.Industrial applications of fuzzy logic at General Electric. IEEE Proc., 1995, 38(3):450~465
[22] El-Sharkawi, M.A.Yonghong Guo.Adaptive fuzzy control of a belt-driven precision positioning table.IEEE International Conference on Electric Machines and Drives, 2003,3:1504~1506
[23]王立新.模糊系统与模糊控制教程.王迎军.第1版.北京:清华大学出版社,2003.1～118
[24] C.C.Lee.Fuzzy logic in control systems: fuzzy logic controller,part1,2.IEEE Transactions on SMC,1990,20(2):404~435
[25]郭代仪,雷闻宇,梁山.模糊控制技术及其在冶金工业中的应用.第1版.重庆:重庆大学出版社,1999.50～89
[26]董爱华,曹淑娟,刘尚争.双电机驱动胶带运输系统模糊跟随器的研究与设计.长沙电力学院学报(自然科学版).2004,19(4):72～75
[27]丛爽.神经网络、模糊系统及其在运动控制中的应用.第1版.合肥:中国科学技术大学出版社,2001.110～133
[28]郭庆鼎,王成元.交流伺服系统.第1版.北京:机械工业出版社,1994.45～70
[29] Staroswiecki, M.Intelligent sensors: a functional view.IEEE Transactions on Industrial Informatics,2005,1(4):238~249
[30]刘芳亮,蒋大林,许鹏翔.智能电力参数综合测量仪表的研究与实现.仪器仪表学报.2006,27(6):206～208
[31]黄琦,王文海.基于MSP430F149的智能仪表的设计.自动化仪表.2006,27(8):26～31
[32] Amigoni, F.Brandolini, A.DAntona, G.Ottoboni, R.Somalvico, M.Artificial intelligence in science of measurements: from measurement instruments to perceptive agencies.IEEE Transactions on Instrumentation and Measurement,2003, 52(3):716~723
[33] Cebrian, A.Rey, J.Tormos, A.Millet, J.Adapting power consumption to performance requirements in a MSP430 microcontroller. Spanish Conference on Electron Devices,2005,83~86
[34] Dongsheng Li.A low cost display, alarm and control circuit for distributed computer monitoring and control system. Proceedings of the 3rd World Congress on Intelligent Control and Automation,2000,5:3564~3568
[35]沈建华,杨艳琴,翟骁曙. MSP430系列16位超低功耗单片机原理与应用.第1版.北京:清华大学出版社,2004.115～285
[36] Texas Instruments Incorporated.Msp430x1xx Family User’s Guide, http://msp430. com,2003
[37] MSP430x13x, MSP430x14x, MIXED SIGNAL MICROCONTROLLER, http://www.msp430.com
[38] OMRON.CPM2A_2AH PLC Operation Manual.2003
[39]组态王KINGVIEW命令语言函数速查手册.北京亚控科技发展有限公司,2005
[40]组态王KINGVIEW使用手册.北京亚控科技发展有限公司,2004
[41]李瑞先,谭德荣,曹雁锋.基于组态王测控系统软件的设计及实现.测控技术.2006,25(6):57～59
[42]李琳,郭文成.基于组态王的监控系统设计及数据处理.工业控制计算机.2006,19(1):70～71
[43] MSP430IAR Embedded Workbench TM IDE User Guide,http://www.msp430.com
[44] MSP430 C-SPY User Guide,http://www.msp430.com
[45] MSP430 C Compiler Programming Guide,http://www.msp430.com
[46]胡大可.MSP430系列单片机C语言程序设计与开发.第1版.北京:北京航空航天大学出版社, 2003.56～177
[47]蔚俊兰,丁振荣.组态王6.5与单片机的通信方法.工业控制计算机.2004,17(10),58～59
[48] ADAM-5000 Series RS-485 Based Data Acquisition and Control System User’s Manual
[49]朱晓琳,沈安文,郑定富.基于总线侦听技术的现场显示仪表设计.计算技术与自动化.2003,22(3):34～36
[50]吕鹏刚,何承波,刘开培等.基于亚当模块的火电厂自动加药系统.微计算机信息.2001,17(11):19～20
[51]张松春,竺子芳,赵秀芬等.电子控制设备抗干扰技术及其应用.第1版.北京:机械工业出版社,1995.142～275
[52] Kunkel, H.Klezar,S.Simulation of radiated narrow band electromagnetic interference for components in the automotive industry (bulk current injection).The8th International Conference on Electromagnetic Interference and Compatibility, 2003,245~248
[53] Nishiwaki, S.Nojima, K.Tatara, S.Kosakada, M.Tanabe, N.Yanabu, S.Electromagnetic interference with electronic apparatus by switching surges in GIS-cable system.IEEE Transactions on Power Delivery ,1995, 10(2):739~746
[54]周义礼.大中型选煤厂监控系统的抗干扰措施.煤炭加工与综合利用.2002,(6):27～29
[55]王绍军.单片机测控系统的抗干扰分析.青海科技.2006(6):74～75
[2] Hellwig, H.The importance of measurement in technology-based competition.IEEE Transactions on Instrumentation and Measurement,1990,39(5):685~688
[3] Jeinsch, T.Sader, M.Noack, R.Barber, K.Ding, S.X.Zang, P.Zhong, M.A robust odel-based information system for monitoring and fault detection of large scale belt conveyor systems. Proceedings of the 4th World Congress on Intelligent Control and Automation, 2002,4: 3283~3287
[4] Jackson, K.D.McCulloch, M.D.Landy,C.F.A study of the suitability of electric drives to the task of driving Conveyors.IEEE Industry Applications Society Annual Meeting, 1993, 1: 488~495
[5]夏扬,郭速学,华勇等.计算机控制技术.第1版.北京:机械工业出版社,2004.1～158
[6]张春光,王秀鹏.基于分布式网络的火电厂运煤自动化系统.电气传动自动化.2001,23(6):37～38
[7] L.A Zadeh.Fuzzy Set. Information and Control,1965,(8):338~353
[8] R.E.Bellman and L.A.Zadeh.Decision making in a fuzzy environment, Manage. Sci.,1970,17:141~164
[9]章卫国,杨向忠.模糊控制理论及应用.第1版.西安:西北工业大学出版社,1999.88～107
[10] Loos J.R..Fuzzy Logic and neural networks. Intech,1994,41(11):20~26
[11]谢承泮.神经网络发展综述.科技情报开发与经济.2006,16(12):148～150
[12]王永骥.神经元网络控制.第1版.北京:机械工业出版社,1998.1～20
[13] Melander S.Theoretical and practical background of a new type of conveyor belt.bulk solids handling, 1986, 6(5):941~946
[14]龙清朵.一种电路简单、工作可靠的胶带打滑保护器.中国设备工程,2002,(1):25～26
[15]李卫国.胶带输送机的安全保护.山西煤炭.1999,19(3):59～62
[16]韩志刚.胶带输送机胶带跑偏的防治.河北煤炭.2003,(4):46～47
[17] Leehter Yao.Fuzzy control of belt conveyor in the manufacturing process. IEEE/IAS Conference on Industrial Automation and Control: Emerging Technologies,1995,748~754
[18] Ma Xian-Min.Genetic Taboo Hybrid Strategy for PID Regulator Parameter Adaptation in Belt Conveyor. International Conference on Machine Learning and Cybernetics,2006,607~612
[19] A.Harrison.Nondestructive Testing of Industrial Steel-cord Conveyor Belts. Process Eng, 1980,(6):22~23
[20] Cao, S.G. Rees, N.W.Feng, G.Stability analysis of fuzzy control systems.IEEE Transactions on Systems,Man and Cybernetics,Part B,1996,26(1):201~204
[21] P.P.Bonissone, V.Badami, K.H.Chiang, P.S.Khedkar, K.W.Marcelle, and M.J.Schutten.Industrial applications of fuzzy logic at General Electric. IEEE Proc., 1995, 38(3):450~465
[22] El-Sharkawi, M.A.Yonghong Guo.Adaptive fuzzy control of a belt-driven precision positioning table.IEEE International Conference on Electric Machines and Drives, 2003,3:1504~1506
[23]王立新.模糊系统与模糊控制教程.王迎军.第1版.北京:清华大学出版社,2003.1～118
[24] C.C.Lee.Fuzzy logic in control systems: fuzzy logic controller,part1,2.IEEE Transactions on SMC,1990,20(2):404~435
[25]郭代仪,雷闻宇,梁山.模糊控制技术及其在冶金工业中的应用.第1版.重庆:重庆大学出版社,1999.50～89
[26]董爱华,曹淑娟,刘尚争.双电机驱动胶带运输系统模糊跟随器的研究与设计.长沙电力学院学报(自然科学版).2004,19(4):72～75
[27]丛爽.神经网络、模糊系统及其在运动控制中的应用.第1版.合肥:中国科学技术大学出版社,2001.110～133
[28]郭庆鼎,王成元.交流伺服系统.第1版.北京:机械工业出版社,1994.45～70
[29] Staroswiecki, M.Intelligent sensors: a functional view.IEEE Transactions on Industrial Informatics,2005,1(4):238~249
[30]刘芳亮,蒋大林,许鹏翔.智能电力参数综合测量仪表的研究与实现.仪器仪表学报.2006,27(6):206～208
[31]黄琦,王文海.基于MSP430F149的智能仪表的设计.自动化仪表.2006,27(8):26～31
[32] Amigoni, F.Brandolini, A.DAntona, G.Ottoboni, R.Somalvico, M.Artificial intelligence in science of measurements: from measurement instruments to perceptive agencies.IEEE Transactions on Instrumentation and Measurement,2003, 52(3):716~723
[33] Cebrian, A.Rey, J.Tormos, A.Millet, J.Adapting power consumption to performance requirements in a MSP430 microcontroller. Spanish Conference on Electron Devices,2005,83~86
[34] Dongsheng Li.A low cost display, alarm and control circuit for distributed computer monitoring and control system. Proceedings of the 3rd World Congress on Intelligent Control and Automation,2000,5:3564~3568
[35]沈建华,杨艳琴,翟骁曙. MSP430系列16位超低功耗单片机原理与应用.第1版.北京:清华大学出版社,2004.115～285
[36] Texas Instruments Incorporated.Msp430x1xx Family User’s Guide, http://msp430. com,2003
[37] MSP430x13x, MSP430x14x, MIXED SIGNAL MICROCONTROLLER, http://www.msp430.com
[38] OMRON.CPM2A_2AH PLC Operation Manual.2003
[39]组态王KINGVIEW命令语言函数速查手册.北京亚控科技发展有限公司,2005
[40]组态王KINGVIEW使用手册.北京亚控科技发展有限公司,2004
[41]李瑞先,谭德荣,曹雁锋.基于组态王测控系统软件的设计及实现.测控技术.2006,25(6):57～59
[42]李琳,郭文成.基于组态王的监控系统设计及数据处理.工业控制计算机.2006,19(1):70～71
[43] MSP430IAR Embedded Workbench TM IDE User Guide,http://www.msp430.com
[44] MSP430 C-SPY User Guide,http://www.msp430.com
[45] MSP430 C Compiler Programming Guide,http://www.msp430.com
[46]胡大可.MSP430系列单片机C语言程序设计与开发.第1版.北京:北京航空航天大学出版社, 2003.56～177
[47]蔚俊兰,丁振荣.组态王6.5与单片机的通信方法.工业控制计算机.2004,17(10),58～59
[48] ADAM-5000 Series RS-485 Based Data Acquisition and Control System User’s Manual
[49]朱晓琳,沈安文,郑定富.基于总线侦听技术的现场显示仪表设计.计算技术与自动化.2003,22(3):34～36
[50]吕鹏刚,何承波,刘开培等.基于亚当模块的火电厂自动加药系统.微计算机信息.2001,17(11):19～20
[51]张松春,竺子芳,赵秀芬等.电子控制设备抗干扰技术及其应用.第1版.北京:机械工业出版社,1995.142～275
[52] Kunkel, H.Klezar,S.Simulation of radiated narrow band electromagnetic interference for components in the automotive industry (bulk current injection).The8th International Conference on Electromagnetic Interference and Compatibility, 2003,245~248
[53] Nishiwaki, S.Nojima, K.Tatara, S.Kosakada, M.Tanabe, N.Yanabu, S.Electromagnetic interference with electronic apparatus by switching surges in GIS-cable system.IEEE Transactions on Power Delivery ,1995, 10(2):739~746
[54]周义礼.大中型选煤厂监控系统的抗干扰措施.煤炭加工与综合利用.2002,(6):27～29
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