机泵群无线监测中数据压缩与优化传输技术研究
|
摘要
大型工业装置中往往包含了分布广泛、数量众多的压缩机，泵类设备。一旦发生故障，轻则造成装置停车、影响生产；重则发生安全事故、危及生命。因此，机泵运行状态实时在线监测系统是预知维修、保证机泵设备长周期稳定运行的必要条件。论文在系统研究了前人相关工作的基础上,对大型化工装置机泵群无线实时监测的关键技术开展了深入的研究，包括振动数据压缩、无线中继节点部署和无线路由协议设计，并取得了如下成果：
(1)通过研究中国石油辽阳石化机械技术研究所中自1990年开始所有的机泵设备故障诊断报告，总结了机泵设备振动信号对于在线监测和故障诊断所能提供的主要信息，分析了机泵设备振动信号压缩的特殊性和应用于机泵设备振动信号的压缩算法特点。
针对目前数据压缩算法在极低传输速率下存在的重构误差较大、容易引发误诊断的问题，提出了一种结合正交变换和矢量量化的振动信号压缩方法。实例研究表明，对于滚动轴承、滑动轴承和齿轮箱等振动信号，该方法可以在低传输速率（小于300bit/s）下，显著提高重构信噪比。
(2)研究了工业监测系统可靠性与中继节点部署问题，根据大型化工装置中无线信道的特点，分析了无线中继节点优化部署问题的复杂性。利用贪婪思想将整个无线监测系统的中继节点部署转化为一个若干个单梯度层次中继节点优化部署问题，构造了0-1数学规划模型。
针对大型化工装置无线节点部署过程中存在的可靠性监测与部署成本之间的矛盾，提出了一种新的无线中继节点部署的方法。该方法由无线信道勘测、无线信道路径衰减因子估计和无线中继节点部署三部分组成。实例研究表明，该方法可以在满足工业监测实时性和可靠性的前提下有效减小中继的数目，并且优化算法的时间复杂度显著低于一般的启发式算法。
(3)通过分析几种主流的工业无线协议的路由策略，建立了工业路由协议中控制开销和传输延迟的数学模型。根据大型化工装置中机泵群设备监测的实际需求，分析了两种主要的监测模式(日常点检模式、设备报警模式)的特点并提出了适合的路由策略。
针对一般工业路由协议中普遍存在的控制开销和传输延迟较大的问题，提出了一种将表路由与按需路由相结合的新的无线路由协议。这种新的路由协议可以根据不同的监测模式选择不同的路由方式。实例研究表明，在点检模式下，该协议能使无线路由开销下降30%-40%；在报警模式下，该协议能使无线传输延迟减小10%-50%。
最后，基于论文的研究成果，以中国石油辽阳石化140万吨重整装置中的一层平面机泵群为对象设计并部署了一套无线监测的实验系统，工程应用取得了满意的效果。
A great of fans and pumps are widely distributed in the large chemicalplant.Once fault occurs, it will cause device shutdown and economic losses tothe enterprise.Worsely, it will cause Heavy accidents and casualty. Real-timeonline monitoring system is a necessary condition to implement to predictrepair and ensure the stable operation of pump equipment long cycle. Studiedfrom previous work, this paper researched vibration data compression,wireless relay node deployment and wireless routing protocol of the keytechnology to build a wireless real-time monitoring system of fans and pumpsin the large chemical plant and obtained the following achievements:
(1) After researching all pump fault diagnosis reports in China PetroleumLiaoyang Petrochemical Research Institute of machinery since1990, wesummarize the main information which provided for the on-line monitoringand fault diagnosis by the pump equipment vibration signal. Further, wepropose unique characteristics of the pump equipment vibration signalcompression contrasted with other signal compression and analyze the characteristics of the algorithm which applied to pump equipment vibrationsignal compression.
Aiming at the large reconstruction error exists in the current datacompression algorithms under very low transmission rate which easily lead tofalse diagnosis, this paper presents a new compression algorithm combinedwith the orthogonal transform and vector Quantization. Proved by actualsignal, for vibration signals made by rolling bearing, sliding bearing and gearbox, this algorithm can significantly improve the reconstruction snr in thesituation of low rate transmission (less than300bit/s).
(2) Through the research of the relationship between reliability ofindustrial monitoring system and deployment problem relay nodes and theresearch of wireless channel in large-scale chemical plant, we analysis thecomplexity of wireless relay node optimal deployment problem in largechemical device. By simplifying the problem using greedy idea, wetranslatethe whole relay nodes deployment problem into several singlegradient levels relay node deployment optimization problem and set up amathematical model based on0-1programming.
In view of the contradiction between the reliability of monitoring anddeployment costs in the process of wireless relay node deployment in largechemical plant, this paper presents a new method for wireless relay nodedeployment. The method contains three parts: wireless channel survey,estimation of wireless channel path attenuation factor and wireless relay node deployment.Through an actual deployment in chemical plant, The algorithmcan effectively reduce the number of wireless relays in the situation of meetingthe premise of real-time and reliability of industrial monitoring, and the timecomplexity of the algorithm is significantly lower than the general heuristicalgorithm.
(3) By analysing routing strategies of the industrial wireless protocol, weestablished two mathematical models of overhead and transmission delay ofthe routing strategies in industrial wireless protocol. According to actualdemands of pumps group equipment monitoring in large-scale chemical plant,we analyze features of two kinds of main monitoring mode: daily check modeand equipment alarm mode and propose a routing strategy for each monitoringmode.
According to problems of too large routing control overhead and highdata transmission delay in current industrial wireless routing protocol, thispaper proposed a new wireless routing protocol combined with routing tableand on-demand routing according to the monitoring mode of fans and pumpsin large chemical plant. The protocol chooses wireless routing in differentways according to different monitoring mode. Simulation results show that, inthe inspection mode, the proposed protocol can reduce the wireless routingoverhead by30%-40%; in the alarm mode, the proposed protocol can reducetransmission delay by10%-50%.
Finally, in order to validate the research results, we built an experimental wireless monitoring system for fans and pumps in the1400000tons/year ofreforming plant of CNPC Liaoyang Petrochemical Industries Co. Theeffectiveness of our system is verified through the practical application.
(1)通过研究中国石油辽阳石化机械技术研究所中自1990年开始所有的机泵设备故障诊断报告，总结了机泵设备振动信号对于在线监测和故障诊断所能提供的主要信息，分析了机泵设备振动信号压缩的特殊性和应用于机泵设备振动信号的压缩算法特点。
针对目前数据压缩算法在极低传输速率下存在的重构误差较大、容易引发误诊断的问题，提出了一种结合正交变换和矢量量化的振动信号压缩方法。实例研究表明，对于滚动轴承、滑动轴承和齿轮箱等振动信号，该方法可以在低传输速率（小于300bit/s）下，显著提高重构信噪比。
(2)研究了工业监测系统可靠性与中继节点部署问题，根据大型化工装置中无线信道的特点，分析了无线中继节点优化部署问题的复杂性。利用贪婪思想将整个无线监测系统的中继节点部署转化为一个若干个单梯度层次中继节点优化部署问题，构造了0-1数学规划模型。
针对大型化工装置无线节点部署过程中存在的可靠性监测与部署成本之间的矛盾，提出了一种新的无线中继节点部署的方法。该方法由无线信道勘测、无线信道路径衰减因子估计和无线中继节点部署三部分组成。实例研究表明，该方法可以在满足工业监测实时性和可靠性的前提下有效减小中继的数目，并且优化算法的时间复杂度显著低于一般的启发式算法。
(3)通过分析几种主流的工业无线协议的路由策略，建立了工业路由协议中控制开销和传输延迟的数学模型。根据大型化工装置中机泵群设备监测的实际需求，分析了两种主要的监测模式(日常点检模式、设备报警模式)的特点并提出了适合的路由策略。
针对一般工业路由协议中普遍存在的控制开销和传输延迟较大的问题，提出了一种将表路由与按需路由相结合的新的无线路由协议。这种新的路由协议可以根据不同的监测模式选择不同的路由方式。实例研究表明，在点检模式下，该协议能使无线路由开销下降30%-40%；在报警模式下，该协议能使无线传输延迟减小10%-50%。
最后，基于论文的研究成果，以中国石油辽阳石化140万吨重整装置中的一层平面机泵群为对象设计并部署了一套无线监测的实验系统，工程应用取得了满意的效果。
A great of fans and pumps are widely distributed in the large chemicalplant.Once fault occurs, it will cause device shutdown and economic losses tothe enterprise.Worsely, it will cause Heavy accidents and casualty. Real-timeonline monitoring system is a necessary condition to implement to predictrepair and ensure the stable operation of pump equipment long cycle. Studiedfrom previous work, this paper researched vibration data compression,wireless relay node deployment and wireless routing protocol of the keytechnology to build a wireless real-time monitoring system of fans and pumpsin the large chemical plant and obtained the following achievements:
(1) After researching all pump fault diagnosis reports in China PetroleumLiaoyang Petrochemical Research Institute of machinery since1990, wesummarize the main information which provided for the on-line monitoringand fault diagnosis by the pump equipment vibration signal. Further, wepropose unique characteristics of the pump equipment vibration signalcompression contrasted with other signal compression and analyze the characteristics of the algorithm which applied to pump equipment vibrationsignal compression.
Aiming at the large reconstruction error exists in the current datacompression algorithms under very low transmission rate which easily lead tofalse diagnosis, this paper presents a new compression algorithm combinedwith the orthogonal transform and vector Quantization. Proved by actualsignal, for vibration signals made by rolling bearing, sliding bearing and gearbox, this algorithm can significantly improve the reconstruction snr in thesituation of low rate transmission (less than300bit/s).
(2) Through the research of the relationship between reliability ofindustrial monitoring system and deployment problem relay nodes and theresearch of wireless channel in large-scale chemical plant, we analysis thecomplexity of wireless relay node optimal deployment problem in largechemical device. By simplifying the problem using greedy idea, wetranslatethe whole relay nodes deployment problem into several singlegradient levels relay node deployment optimization problem and set up amathematical model based on0-1programming.
In view of the contradiction between the reliability of monitoring anddeployment costs in the process of wireless relay node deployment in largechemical plant, this paper presents a new method for wireless relay nodedeployment. The method contains three parts: wireless channel survey,estimation of wireless channel path attenuation factor and wireless relay node deployment.Through an actual deployment in chemical plant, The algorithmcan effectively reduce the number of wireless relays in the situation of meetingthe premise of real-time and reliability of industrial monitoring, and the timecomplexity of the algorithm is significantly lower than the general heuristicalgorithm.
(3) By analysing routing strategies of the industrial wireless protocol, weestablished two mathematical models of overhead and transmission delay ofthe routing strategies in industrial wireless protocol. According to actualdemands of pumps group equipment monitoring in large-scale chemical plant,we analyze features of two kinds of main monitoring mode: daily check modeand equipment alarm mode and propose a routing strategy for each monitoringmode.
According to problems of too large routing control overhead and highdata transmission delay in current industrial wireless routing protocol, thispaper proposed a new wireless routing protocol combined with routing tableand on-demand routing according to the monitoring mode of fans and pumpsin large chemical plant. The protocol chooses wireless routing in differentways according to different monitoring mode. Simulation results show that, inthe inspection mode, the proposed protocol can reduce the wireless routingoverhead by30%-40%; in the alarm mode, the proposed protocol can reducetransmission delay by10%-50%.
Finally, in order to validate the research results, we built an experimental wireless monitoring system for fans and pumps in the1400000tons/year ofreforming plant of CNPC Liaoyang Petrochemical Industries Co. Theeffectiveness of our system is verified through the practical application.
引文
[1]高金吉.机泵群实时监测网络和故障诊断专家系统[J].中国工程科学,2001,03(09):41-47
[2]齐鹤.基于ZigBee的机泵无线监测智能单元研究[D].北京:北京化工大学,2010
[3]王新江.离线状态监测仪在机泵故障诊断中的运用[J].机械,2008,(S1):99-100
[4]陈雪峰,李继猛,程航,李兵,何正嘉.风力发电机状态监测和故障诊断技术的研究与进展[J].机械工程学报,2011,(47)09:45-52
[5]王碧琴,于翔,李福志.影响大型柱塞泵使用寿命的因素及在线监控检测的实施[J].中国设备工程,2007,03:43-44
[6]许雪琦.分布式智能化状态监测与故障诊断系统的设计与研究[D].天津:天津大学,2004
[7]刘树林,黄文虎,王日新,时文刚.基于免疫系统的往复泵在线故障诊断方法[J].中国机械工程,2002,(13)08:686-689
[8] K. Worden, G. Manson,D. Allman. Experimental validation of a structural healthmonitoring methodology: Part I. Novelty detection on a laboratory structure[J]. Journalof Sound and Vibration.2003,259(2):323-343
[9]胡正钧,江天生.霍尼韦尔公司OneWireless工业无线方案:中石油西北销售公司西固油库工业无线解决方案[J].自动化博览,2010,06:48-50
[10]江天生.霍尼韦尔公司针对工业无线应用的OneWireless解决方案[J].自动化博览,2010,01:66-68
[11]赵燕萍.西门子在中国推出HiPath无线局域网解决方案以提高企业移动性[J].现代电信科技,2007,07:12-13
[12]吴长奇，于玉海，萧丽萍.结合矢量量化与远间隔预测的振动遥测信号压缩方法[J].传感技术学报,2002，(2):120-123
[13] DasS, VaswaniN.Model-based compression of nonstationary landmark shape sequences[A].15thIEEE International Conference on [C].USA：SanDiego,2008,1168-1171
[14]唐贵基,张杏娟,杜必强.旋转机械故障诊断中的振动信号自适应分形压缩算法[J].振动、测试与诊断,2009,29(3):278-281
[15]张杏娟.基于分形的振动信号压缩及降噪研究[D].河北:华北电力大学,2008
[16]杜金榜,王跃科,潘仲明.旋转机械振动数据压缩及语音压缩技术的应用研究[J].计算机测量与控制,2006,(12):1594-1596
[17]刘颖峰,杨世锡,胡劲松.基于事件的旋转机械振动信号数据稀化、重构技术研究[J].汽轮机技术.2002,44(04):222-223
[18]王伟伟,廖桂生,吴孙勇,朱圣棋.基于小波稀疏表示的压缩感知SAR成像算法研究[J].电子与信息学报,2011,33(6):1440-1446
[19]马如远,金明亮,刘继忠,柴国钟.移动机器人环境视觉小波稀疏压缩传感和识别[J].传感技术学报,2012,25(4):519-523
[20]蒋国华,潘健勇,董齐芬,俞立.基于嵌入式零树小波的心电信号压缩算法及实现[J].传感技术学报,2012,25(07):880-884
[21] Q. He, Z. Feng,F. Kong. Detection of signal transients using independent componentanalysis and its application in gearbox condition monitoring[J]. Mechanical systems andsignal processing.2007,21(5):2056-2071
[22] J. Barros,R. I. Diego. Application of the wavelet-packet transform to the estimation ofharmonic groups in current and voltage waveforms[J]. Power Delivery, IEEETransactions on.2006,21(1):533-535
[23] S. A. Saleh,M. Rahman. Modeling and protection of a three-phase power transformerusing wavelet packet transform[J]. Power Delivery, IEEE Transactions on.2005,20(2):1273-1282
[24]杨彦利;苗长云;伉大俪.基于椭圆Fourier描述子的旋转机械振动信号分析[J].机械工程学报,2012,(48)13:102-107
[25]潘榕,刘昱,侯正信,汪少初.基于局部DCT系数的图像压缩感知编码与重构[J].自动化学报,2011,37(6):674-681
[26]蒋国华,潘健勇,董齐芬,俞立.基于嵌入式零树小波的心电信号压缩算法及实现[J].传感技术学报,2012,25(7):880-884
[27]丁爱玲,石光明,张宁,焦李成.波形匹配小波设计及其在信号数据压缩中的应用[J].电子与信息学报,2007,29(4):804-807
[28]许高峰,孙才新,陆宠惠.基于多目标优化最佳小波包算法的PD信号压缩和重构[J].仪器仪表学报,2004,25(1):57-60
[29]潘榕，刘昱，侯正信，汪少初.基于局部DCT系数的图像压缩感知编码与重构[J].自动化学报,2011，37(6):674-681
[30]陈佳元，张秋菊，郁文恺.基于DCT的压缩机振动信号压缩方法研究[J].压缩机技术,2009，4:5-7
[31] G. Singh,S. A. K. Sa’ad Ahmed. Vibration signal analysis using wavelet transform forisolation and identification of electrical faults in induction machine[J]. Electric PowerSystems Research.2003,68(2):119-136
[32]毕果,韩捷,梁川.基于矢量振动信号的AR功率谱分析及应用[J].郑州大学学报(工学版).2003,24(02):80-83
[33] OlteanJ. Picheral E.Vibration signals compression with Time-Frequency AdaptiveQuantization[A]. in:2011IEEE7thInternational Symposiumon, Intelligent SignalProcessing (WISP)[C], Gif-sur-Yvette, France,2011.1-4
[34] Oltean, M., J. Picheral, E. Lahalle, et al. Mechanical vibration signal compression byLOT-based subband coding[A]. In:2011IEEE International Symposium on, SignalProcessing and Information Technology (ISSPIT)[C], Gif sur Yvette CEDEX, France,2011.001-004
[35] pettie, Vramachandran. An optimal minimum spanning tree algorithm[J]. Journal of theACM (JACM),2002,49(1):16-34
[36] Wang X Q, Yang Y T, Zhang Z L. A virtual rhomb-basedmovement-assisted sensordeployment algorithm in wireless sensorNetworks[A].Proceedings of the InternationalMulti-Symposiums onComputer and Computational Sciences[C]. China: Hangzhou,2006:491-495
[37] Corke P, Hrabar S, Peterson R, et a1. Autonomous deployment andrepair of a sensornetwork using an unmanned aerial vehicle[A].Proceedings of the IEEE InternationalConference on Robotics andAutomation[C], New Orleans: LA,2004.
[38] Li.N,J.C.Hou.Improving connectivity of wireless ad hoc networks[A]. Mobile andUbiquitous Systems: Networking and Services,2005MobiQuitous2005The SecondAnnual International Conference on[C].Boston:Massachusetts,2005:314-324
[39] Corke P, Hrabar S, Peterson R, et a1. Autonomous deployment andrepair of a sensornetwork using an unmanned aerial vehicle[A].Proceedings of the IEEE InternationalConference on Robotics andAutomation[C], New Orleans: LA,2004.
[40] Vairamuthu, M. K., S. Nesamony, et al. OnEfficient Validation and Construction ofSmooth andReliable Sensor Networks by Virtual Wiring. TechnicalReport no.452,School of Information Technologyand Electrical Engineering, University ofQueensland,November2004. http://www.itee.uq.edu.au/~sense/TR-452.pdf
[41] Corke P, Hrabar S, Peterson R, et a1. Autonomous deployment andrepair of a sensornetwork using an unmanned aerial vehicle[A].Proceedings of the IEEE InternationalConference on Robotics andAutomation[C], New Orleans: LA,2004.
[42] Zou Y, Chakrabarty K. Uncertainty-aware and coverage-oriented deployment for sensornetworks[J]. Journal of Parallel and Distributed Computing,2004,64(7):788—798
[43] Howard, A, Mataric, M J, Sukhatme, G S, An incrementalself-deployment algorithm formobile sensor networks[J], AutonomousRobots, Special Issue on Intelligent Systems,200213(2)113-126
[44]王旭，肖金超.第二十四章工业无线网络中继节点部署问题研究[J].仪器仪表标准化与计量，2010，(6):28-31
[45]刘琳，曾鹏，于海斌.工业无线传感器网络中的簇首节点部署问题[J].中国仪器仪表，2008，(S1):115-121
[46] Zou,Y.Sensor deployment and target localization based on virtual forces[A].Twenty-Second Annual Joint Conference of the IEEE Computer and Communications[C].USA：San Francisco,2003,1293-1303
[47] Li F, Wang Y, Li XY. Gateway Placement for Throughput Optimization in WirelessMesh Network[A]. Communications,2007ICC '07IEEE International Conferenceon[C]. Glasgow:Scotland,2007:4955-4960
[48] Deyab TM, Baroudi U, Selim SZ. Optimal placement of heterogeneous wireless sensorand relay nodes[A]. Wireless Communications and Mobile Computing Conference(IWCMC),20117th International[C].Istanbul:Turkey,2011:65-70
[49] Dhillon S S, Chakrabarty K. Sensor placement for effectivecoverage and surveillance indistributed sensornetworks[J].IEEE,2003,3(3):1609-1614.
[50] Chakrabarty K，Iyengar S S, Qi H et al. Grid coverage for surveillance and targetlocation in distributed sensor networks[J].IEEE Transactions on Computers，2002，12(51):1448-1453
[51]刘华峰,金士尧.基于体心立方格的三维传感器网络部署与组织[J].计算机工程与科学,2008,30(4),109-112
[52]张立，刘云,网格移动的无线移动传感器网络部署算法[J].北京交通大学学报,2007,31(5):6-10
[53]李石坚,徐从富,吴朝晖,潘云鹤.面向目标跟踪的传感器网络布局优化及保护策略[J].电子学报,2006,34(01):71-76
[54] Wang L, Fu X, Fang J, Wang H, Fei M. Optimal node placement in industrial WirelessSensor Networks using adaptive mutation probability binary Particle SwarmOptimization algorithm[A]. Natural Computation (ICNC),2011Seventh InternationalConference on[C].Shanghai:China,2011,4:2199-2203
[55]王灵，茆云飞，付细平，王海宽，付敬奇.一种工业无线传感器网络多目标最优部署的方法[P].中国专利,201110049025.2011-06-15
[56] Li F, Wang Y, Lixiang Y. Gateway Placement forThroughput Optimization in WirelessMesh Network[A].IEEE International ConferenceonCommunications[C].Glasgow:Scotland,2007:4955-4960
[57] LiX.H, Hong S.H, Fang K.L. WSNHA-GAHR: a greedy and A heuristic routingalgorithm for wireless sensor networks in home automation[J]. Communications, IET2011,5(13):1797-1805
[58] Zhang Xuan, Wei Min, Wang Ping, Kim Yeon. Research and implementation of securitymechanism in ISA100.11a networks[A]. in: Electronic Measurement&Instruments,2009. ICEMI '09.9th International Conference on [C], Chengdu, China,2009.4716-4721
[59] Jianping Song, Song Han, Mok, A.K., Deji Chen. WirelessHART: Applying WirelessTechnology in Real-Time Industrial Process Control[A]. in: Real-Time and EmbeddedTechnology and Applications Symposium,2008. RTAS '08. IEEE [C], ST.LOUIS,USA,2008.377-386
[60] Zhang, Xiaoling, Liang, Wei; Zheng, Meng; Yu, Hai-Bin Bin. Distributed and dynamicTDMA channel scheduling algorithm for WIA-PA[A]. in: Intelligent Computing andIntelligent Systems,2009. ICIS2009. IEEE International Conference on [C], Shanghai,China,2009.462-466
[61] Julie Z. Zhang, Joseph C. Chen. Tool condition monitoring in an end-milling operationbased on the vibration signal collected through a microcontroller-based data acquisitionsystem [J]. The International Journal of Advanced Manufacturing Technology,2008,(39)02:118-128
[62] W. Bartelmus, R. Zimroz.Vibration condition monitoring of planetary gearbox undervarying external load[J]. Mechanical Systems and Signal Processing,2009,(23)01:246-257
[63] Zhipeng Fenga, Ming J. Zuob, c. Fault diagnosis of planetary gearboxes via torsionalvibration signal analysis [J]. Mechanical Systems and Signal Processing,2013,(36)02:401-421
[64] Pratesh Jayaswal, SN Verma, AK Wadhwani. Development of EBP-Artificial neuralnetwork expert system for rolling element bearing fault diagnosis [J]. Journal ofVibration and Control,2011,(17)08:1131-1148
[65]徐敏强，张嘉钟，张国斌，黄文虎.基于小波变换的旋转机械振动信号数据压缩方法的研究[J].振动工程学报,2000,(13)04:531-536
[66]周建鹏,杨义先.任意阶正则线性相位小波滤波器的特征滤波器设计方法[J].通信学报.1998,19(002):27-32
[67]胡晓新.小波域的合成孔径雷达原始数据压缩[D].北京:中国科学院,2005
[68]段礼祥，张来斌，陈敬龙.基于Volterra级数的提升小波变换边界处理及应用[J].仪器仪表学报.2012,33(1):7-12
[69]潘志刚.低比特率合成孔径雷达数据压缩算法研究[D].北京:中国科学院,2006
[70]姜守达，陆哲明，裴慧.哈德码变换域等均值等方差最近邻矢量量化码字搜索算法[J].电子学报,2004，32(9):1543-1545
[71]易朋兴,杜润生,杨叔子,刘世元.基于Markov模型的分布式监测系统可靠性研究[J].机械工程学报,2005,41(6):188-193
[72]易朋兴,杜润生,杨叔子,刘世元.分布式监测系统可靠性贝叶斯评估[J].华中科技大学学报(自然科学版),2006,34(3):42-45
[73] E ELopez, A MSala.Wireless communications deployment in industry:a review ofissues, options and technologies [J]. Computers In Industry,2005,56:29-53
[74]王素珍.通信原理[M].北京:北京邮电大学出版社,2010
[75]刘锋;裴红星;王青三;黎敏.工业无线传感器网络信道特征研究[J].郑州大学学报(理学版),2011,43(4):39-43
[76]霍宏伟,郜帅,牛延超等.基于室内传播模型的无线传感器网络节点部署策略研究[J].中国工程科学,2008,10(9):64-69
[77] Sexton D, Mahony M, Lapinski M, Werb J. Radio Channel Quality in Industrial WirelessSensor Networks[A]. Sensors for Industry Conference[C]. Houston:TexasUSA,2005:88-94
[78]汪波. WCDMA系统中的小区搜索算法研究[D].南京:东南大学,2004
[79] Wan J, Wu J, Xu X, Yan Y. An Efficient Gradient Mechanism of Directed Diffusion inWireless Sensor Network[A]. Computational Intelligence and Security,2008CIS '08International Conference on[C]. Suzhou:China,2008,(1):427-431
[80] Lim JJ, Shin KG. Gradient-ascending routing via footprints in wireless sensornetworks[A]. Real-Time Systems Symposium26th IEEE International[C].Miami:Florida,2005:300-307
[81]冯丽娟,严洪森,朱莉莉.基于改进贪婪随机自适应算法的车间调度优化[J].计算机技术与发展,2009,(19)10:44-50
[82]金华征.考虑市场环境的多目标输电网优化规划研究[D].上海:上海交通大学,2007
[83]张明辉，王尚锦.自适应搜索的改进遗传算法及其应用[J].西安交通大学学报,2002，36(3):226-229
[84]金华征,程浩忠,奚王旬,夏夷等.贪婪随机自适应搜索法在电网规划中的应用[J].上海交通大学学报,2006,(40)04:563-567
[85] Shi, Q, He C, Chen H, Jiang L. Distributed Wireless Sensor Network Localization ViaSequential Greedy Optimization Algorithm[J]. Signal Processing, IEEE Transactions on2010,58(6):3328-3340
[86]李刚.设备点检信息管理系统应用研究[D].天津:天津大学,2011
[87]张庆,徐光华,华成,张熠卓.一类支持向量机的设备状态自适应报警方法[J].西安交通大学学报,2009,43(11):61-65
[88]李玮.机泵集群状态监测技术的开发与应用[J].中国设备工程,2002,12:31-32
[89] Mohseni, Hassan, Rosilah; Patel, Ahmed; Razali, Rozilawati. Comparative review studyof reactive and proactive routing protocols in MANETs [A]. in: Digital Ecosystems andTechnologies (DEST),20104th IEEE International Conference on [C], Dubai, UnitedAreb Emirates,2010.304-309
[90] Shanti, Chilukuri, Sahoo, Anirudha. DGRAM: A Delay Guaranteed Routing and MACProtocol for Wireless Sensor Networks [J]. Mobile Computing,2010,(09)10:1407-1423
[91] Warrier, Ajit, Janakiraman, Sankararaman; Ha, Sangtae; Rhee, Injong. DiffQ: PracticalDifferential Backlog Congestion Control for Wireless Networks [A]. in: INFOCOM2009, IEEE[C], Rio de Janeiro, Brazil,2009.262-270
[92]张霞.无线传感器网络路由协议若干关键问题研究[D].郑州:解放军信息工程大学,2009
[93]王义君,钱志鸿,王桂琴,张旭.无线传感器网络能量有效时间同步算法研究[J].电子与信息学报,2012,34(9):2174-2179
[94] Lasassmeh, Sami M., Conrad, James M.. Time synchronization in wireless sensornetworks: A survey [A]. in: IEEE SoutheastCon2010(SoutheastCon)[C], NorthCarolina, USA,2010.242-245
[95]刘兰涛.无线传感器网络中时间同步技术的研究[D].郑州:郑州大学,2010
[96]高辉. ZigBee技术在智能公交调度系统上的应用研究[D].西安:长安大学,2008
[97]杜青松,朱江,张尔扬.基于闲时逆寻和路由学习机制的优化AODV路由协议[J].通信学报,2011,32(8):64-71
[98]张霞,于宏毅,杨锦亚.基于AODV的自组网QoS路由协议[J].电子与信息学报,2005,27(3):355-358
[99]沈奔.无线Ad Hoc网络中AODV路由协议的研究与改进[D].南京:南京邮电大学,2010
[100] Ling Liu, Lei Zhu, Long Lin, Qihui Wu. Improvement of AODV Routing Protocol withQoS Support in Wireless Mesh Networks [A]. in: International Conference on SolidState Devices and Materials Science [C], Macao, China,2012.1133-1140
[101] Su, Szu-Lin Lin, Su, Yi-Wen; Chen, China-Sheng; Liu, Wen-Hsiung. A novel design ofnode-disjoint multi-path QoS routing in multi-hop ad hoc networks [A]. in: IDependable Systems and Networks Workshops (DSN-W),2011IEEE/IFIP41stInternational Conference on [C], Hong Kong, China,2011.292-296
[102] Srinivasan, P. Kamalakkannan, P.REAQ-AODV: Route stability and energy aware QoSrouting in mobile Ad Hoc networks [A]. in: Advanced Computing (ICoAC),2012Fourth International Conference on [C], New York, USA,2012.1-5
[103] Gulati, M.K. Kumar, K. A review of QoS routing protocols in MANETs [A]. in:Computer Communication and Informatics (ICCCI),2013International Conference on[C], Coimbatore, INDIA,2013.1-6
[2]齐鹤.基于ZigBee的机泵无线监测智能单元研究[D].北京:北京化工大学,2010
[3]王新江.离线状态监测仪在机泵故障诊断中的运用[J].机械,2008,(S1):99-100
[4]陈雪峰,李继猛,程航,李兵,何正嘉.风力发电机状态监测和故障诊断技术的研究与进展[J].机械工程学报,2011,(47)09:45-52
[5]王碧琴,于翔,李福志.影响大型柱塞泵使用寿命的因素及在线监控检测的实施[J].中国设备工程,2007,03:43-44
[6]许雪琦.分布式智能化状态监测与故障诊断系统的设计与研究[D].天津:天津大学,2004
[7]刘树林,黄文虎,王日新,时文刚.基于免疫系统的往复泵在线故障诊断方法[J].中国机械工程,2002,(13)08:686-689
[8] K. Worden, G. Manson,D. Allman. Experimental validation of a structural healthmonitoring methodology: Part I. Novelty detection on a laboratory structure[J]. Journalof Sound and Vibration.2003,259(2):323-343
[9]胡正钧,江天生.霍尼韦尔公司OneWireless工业无线方案:中石油西北销售公司西固油库工业无线解决方案[J].自动化博览,2010,06:48-50
[10]江天生.霍尼韦尔公司针对工业无线应用的OneWireless解决方案[J].自动化博览,2010,01:66-68
[11]赵燕萍.西门子在中国推出HiPath无线局域网解决方案以提高企业移动性[J].现代电信科技,2007,07:12-13
[12]吴长奇，于玉海，萧丽萍.结合矢量量化与远间隔预测的振动遥测信号压缩方法[J].传感技术学报,2002，(2):120-123
[13] DasS, VaswaniN.Model-based compression of nonstationary landmark shape sequences[A].15thIEEE International Conference on [C].USA：SanDiego,2008,1168-1171
[14]唐贵基,张杏娟,杜必强.旋转机械故障诊断中的振动信号自适应分形压缩算法[J].振动、测试与诊断,2009,29(3):278-281
[15]张杏娟.基于分形的振动信号压缩及降噪研究[D].河北:华北电力大学,2008
[16]杜金榜,王跃科,潘仲明.旋转机械振动数据压缩及语音压缩技术的应用研究[J].计算机测量与控制,2006,(12):1594-1596
[17]刘颖峰,杨世锡,胡劲松.基于事件的旋转机械振动信号数据稀化、重构技术研究[J].汽轮机技术.2002,44(04):222-223
[18]王伟伟,廖桂生,吴孙勇,朱圣棋.基于小波稀疏表示的压缩感知SAR成像算法研究[J].电子与信息学报,2011,33(6):1440-1446
[19]马如远,金明亮,刘继忠,柴国钟.移动机器人环境视觉小波稀疏压缩传感和识别[J].传感技术学报,2012,25(4):519-523
[20]蒋国华,潘健勇,董齐芬,俞立.基于嵌入式零树小波的心电信号压缩算法及实现[J].传感技术学报,2012,25(07):880-884
[21] Q. He, Z. Feng,F. Kong. Detection of signal transients using independent componentanalysis and its application in gearbox condition monitoring[J]. Mechanical systems andsignal processing.2007,21(5):2056-2071
[22] J. Barros,R. I. Diego. Application of the wavelet-packet transform to the estimation ofharmonic groups in current and voltage waveforms[J]. Power Delivery, IEEETransactions on.2006,21(1):533-535
[23] S. A. Saleh,M. Rahman. Modeling and protection of a three-phase power transformerusing wavelet packet transform[J]. Power Delivery, IEEE Transactions on.2005,20(2):1273-1282
[24]杨彦利;苗长云;伉大俪.基于椭圆Fourier描述子的旋转机械振动信号分析[J].机械工程学报,2012,(48)13:102-107
[25]潘榕,刘昱,侯正信,汪少初.基于局部DCT系数的图像压缩感知编码与重构[J].自动化学报,2011,37(6):674-681
[26]蒋国华,潘健勇,董齐芬,俞立.基于嵌入式零树小波的心电信号压缩算法及实现[J].传感技术学报,2012,25(7):880-884
[27]丁爱玲,石光明,张宁,焦李成.波形匹配小波设计及其在信号数据压缩中的应用[J].电子与信息学报,2007,29(4):804-807
[28]许高峰,孙才新,陆宠惠.基于多目标优化最佳小波包算法的PD信号压缩和重构[J].仪器仪表学报,2004,25(1):57-60
[29]潘榕，刘昱，侯正信，汪少初.基于局部DCT系数的图像压缩感知编码与重构[J].自动化学报,2011，37(6):674-681
[30]陈佳元，张秋菊，郁文恺.基于DCT的压缩机振动信号压缩方法研究[J].压缩机技术,2009，4:5-7
[31] G. Singh,S. A. K. Sa’ad Ahmed. Vibration signal analysis using wavelet transform forisolation and identification of electrical faults in induction machine[J]. Electric PowerSystems Research.2003,68(2):119-136
[32]毕果,韩捷,梁川.基于矢量振动信号的AR功率谱分析及应用[J].郑州大学学报(工学版).2003,24(02):80-83
[33] OlteanJ. Picheral E.Vibration signals compression with Time-Frequency AdaptiveQuantization[A]. in:2011IEEE7thInternational Symposiumon, Intelligent SignalProcessing (WISP)[C], Gif-sur-Yvette, France,2011.1-4
[34] Oltean, M., J. Picheral, E. Lahalle, et al. Mechanical vibration signal compression byLOT-based subband coding[A]. In:2011IEEE International Symposium on, SignalProcessing and Information Technology (ISSPIT)[C], Gif sur Yvette CEDEX, France,2011.001-004
[35] pettie, Vramachandran. An optimal minimum spanning tree algorithm[J]. Journal of theACM (JACM),2002,49(1):16-34
[36] Wang X Q, Yang Y T, Zhang Z L. A virtual rhomb-basedmovement-assisted sensordeployment algorithm in wireless sensorNetworks[A].Proceedings of the InternationalMulti-Symposiums onComputer and Computational Sciences[C]. China: Hangzhou,2006:491-495
[37] Corke P, Hrabar S, Peterson R, et a1. Autonomous deployment andrepair of a sensornetwork using an unmanned aerial vehicle[A].Proceedings of the IEEE InternationalConference on Robotics andAutomation[C], New Orleans: LA,2004.
[38] Li.N,J.C.Hou.Improving connectivity of wireless ad hoc networks[A]. Mobile andUbiquitous Systems: Networking and Services,2005MobiQuitous2005The SecondAnnual International Conference on[C].Boston:Massachusetts,2005:314-324
[39] Corke P, Hrabar S, Peterson R, et a1. Autonomous deployment andrepair of a sensornetwork using an unmanned aerial vehicle[A].Proceedings of the IEEE InternationalConference on Robotics andAutomation[C], New Orleans: LA,2004.
[40] Vairamuthu, M. K., S. Nesamony, et al. OnEfficient Validation and Construction ofSmooth andReliable Sensor Networks by Virtual Wiring. TechnicalReport no.452,School of Information Technologyand Electrical Engineering, University ofQueensland,November2004. http://www.itee.uq.edu.au/~sense/TR-452.pdf
[41] Corke P, Hrabar S, Peterson R, et a1. Autonomous deployment andrepair of a sensornetwork using an unmanned aerial vehicle[A].Proceedings of the IEEE InternationalConference on Robotics andAutomation[C], New Orleans: LA,2004.
[42] Zou Y, Chakrabarty K. Uncertainty-aware and coverage-oriented deployment for sensornetworks[J]. Journal of Parallel and Distributed Computing,2004,64(7):788—798
[43] Howard, A, Mataric, M J, Sukhatme, G S, An incrementalself-deployment algorithm formobile sensor networks[J], AutonomousRobots, Special Issue on Intelligent Systems,200213(2)113-126
[44]王旭，肖金超.第二十四章工业无线网络中继节点部署问题研究[J].仪器仪表标准化与计量，2010，(6):28-31
[45]刘琳，曾鹏，于海斌.工业无线传感器网络中的簇首节点部署问题[J].中国仪器仪表，2008，(S1):115-121
[46] Zou,Y.Sensor deployment and target localization based on virtual forces[A].Twenty-Second Annual Joint Conference of the IEEE Computer and Communications[C].USA：San Francisco,2003,1293-1303
[47] Li F, Wang Y, Li XY. Gateway Placement for Throughput Optimization in WirelessMesh Network[A]. Communications,2007ICC '07IEEE International Conferenceon[C]. Glasgow:Scotland,2007:4955-4960
[48] Deyab TM, Baroudi U, Selim SZ. Optimal placement of heterogeneous wireless sensorand relay nodes[A]. Wireless Communications and Mobile Computing Conference(IWCMC),20117th International[C].Istanbul:Turkey,2011:65-70
[49] Dhillon S S, Chakrabarty K. Sensor placement for effectivecoverage and surveillance indistributed sensornetworks[J].IEEE,2003,3(3):1609-1614.
[50] Chakrabarty K，Iyengar S S, Qi H et al. Grid coverage for surveillance and targetlocation in distributed sensor networks[J].IEEE Transactions on Computers，2002，12(51):1448-1453
[51]刘华峰,金士尧.基于体心立方格的三维传感器网络部署与组织[J].计算机工程与科学,2008,30(4),109-112
[52]张立，刘云,网格移动的无线移动传感器网络部署算法[J].北京交通大学学报,2007,31(5):6-10
[53]李石坚,徐从富,吴朝晖,潘云鹤.面向目标跟踪的传感器网络布局优化及保护策略[J].电子学报,2006,34(01):71-76
[54] Wang L, Fu X, Fang J, Wang H, Fei M. Optimal node placement in industrial WirelessSensor Networks using adaptive mutation probability binary Particle SwarmOptimization algorithm[A]. Natural Computation (ICNC),2011Seventh InternationalConference on[C].Shanghai:China,2011,4:2199-2203
[55]王灵，茆云飞，付细平，王海宽，付敬奇.一种工业无线传感器网络多目标最优部署的方法[P].中国专利,201110049025.2011-06-15
[56] Li F, Wang Y, Lixiang Y. Gateway Placement forThroughput Optimization in WirelessMesh Network[A].IEEE International ConferenceonCommunications[C].Glasgow:Scotland,2007:4955-4960
[57] LiX.H, Hong S.H, Fang K.L. WSNHA-GAHR: a greedy and A heuristic routingalgorithm for wireless sensor networks in home automation[J]. Communications, IET2011,5(13):1797-1805
[58] Zhang Xuan, Wei Min, Wang Ping, Kim Yeon. Research and implementation of securitymechanism in ISA100.11a networks[A]. in: Electronic Measurement&Instruments,2009. ICEMI '09.9th International Conference on [C], Chengdu, China,2009.4716-4721
[59] Jianping Song, Song Han, Mok, A.K., Deji Chen. WirelessHART: Applying WirelessTechnology in Real-Time Industrial Process Control[A]. in: Real-Time and EmbeddedTechnology and Applications Symposium,2008. RTAS '08. IEEE [C], ST.LOUIS,USA,2008.377-386
[60] Zhang, Xiaoling, Liang, Wei; Zheng, Meng; Yu, Hai-Bin Bin. Distributed and dynamicTDMA channel scheduling algorithm for WIA-PA[A]. in: Intelligent Computing andIntelligent Systems,2009. ICIS2009. IEEE International Conference on [C], Shanghai,China,2009.462-466
[61] Julie Z. Zhang, Joseph C. Chen. Tool condition monitoring in an end-milling operationbased on the vibration signal collected through a microcontroller-based data acquisitionsystem [J]. The International Journal of Advanced Manufacturing Technology,2008,(39)02:118-128
[62] W. Bartelmus, R. Zimroz.Vibration condition monitoring of planetary gearbox undervarying external load[J]. Mechanical Systems and Signal Processing,2009,(23)01:246-257
[63] Zhipeng Fenga, Ming J. Zuob, c. Fault diagnosis of planetary gearboxes via torsionalvibration signal analysis [J]. Mechanical Systems and Signal Processing,2013,(36)02:401-421
[64] Pratesh Jayaswal, SN Verma, AK Wadhwani. Development of EBP-Artificial neuralnetwork expert system for rolling element bearing fault diagnosis [J]. Journal ofVibration and Control,2011,(17)08:1131-1148
[65]徐敏强，张嘉钟，张国斌，黄文虎.基于小波变换的旋转机械振动信号数据压缩方法的研究[J].振动工程学报,2000,(13)04:531-536
[66]周建鹏,杨义先.任意阶正则线性相位小波滤波器的特征滤波器设计方法[J].通信学报.1998,19(002):27-32
[67]胡晓新.小波域的合成孔径雷达原始数据压缩[D].北京:中国科学院,2005
[68]段礼祥，张来斌，陈敬龙.基于Volterra级数的提升小波变换边界处理及应用[J].仪器仪表学报.2012,33(1):7-12
[69]潘志刚.低比特率合成孔径雷达数据压缩算法研究[D].北京:中国科学院,2006
[70]姜守达，陆哲明，裴慧.哈德码变换域等均值等方差最近邻矢量量化码字搜索算法[J].电子学报,2004，32(9):1543-1545
[71]易朋兴,杜润生,杨叔子,刘世元.基于Markov模型的分布式监测系统可靠性研究[J].机械工程学报,2005,41(6):188-193
[72]易朋兴,杜润生,杨叔子,刘世元.分布式监测系统可靠性贝叶斯评估[J].华中科技大学学报(自然科学版),2006,34(3):42-45
[73] E ELopez, A MSala.Wireless communications deployment in industry:a review ofissues, options and technologies [J]. Computers In Industry,2005,56:29-53
[74]王素珍.通信原理[M].北京:北京邮电大学出版社,2010
[75]刘锋;裴红星;王青三;黎敏.工业无线传感器网络信道特征研究[J].郑州大学学报(理学版),2011,43(4):39-43
[76]霍宏伟,郜帅,牛延超等.基于室内传播模型的无线传感器网络节点部署策略研究[J].中国工程科学,2008,10(9):64-69
[77] Sexton D, Mahony M, Lapinski M, Werb J. Radio Channel Quality in Industrial WirelessSensor Networks[A]. Sensors for Industry Conference[C]. Houston:TexasUSA,2005:88-94
[78]汪波. WCDMA系统中的小区搜索算法研究[D].南京:东南大学,2004
[79] Wan J, Wu J, Xu X, Yan Y. An Efficient Gradient Mechanism of Directed Diffusion inWireless Sensor Network[A]. Computational Intelligence and Security,2008CIS '08International Conference on[C]. Suzhou:China,2008,(1):427-431
[80] Lim JJ, Shin KG. Gradient-ascending routing via footprints in wireless sensornetworks[A]. Real-Time Systems Symposium26th IEEE International[C].Miami:Florida,2005:300-307
[81]冯丽娟,严洪森,朱莉莉.基于改进贪婪随机自适应算法的车间调度优化[J].计算机技术与发展,2009,(19)10:44-50
[82]金华征.考虑市场环境的多目标输电网优化规划研究[D].上海:上海交通大学,2007
[83]张明辉，王尚锦.自适应搜索的改进遗传算法及其应用[J].西安交通大学学报,2002，36(3):226-229
[84]金华征,程浩忠,奚王旬,夏夷等.贪婪随机自适应搜索法在电网规划中的应用[J].上海交通大学学报,2006,(40)04:563-567
[85] Shi, Q, He C, Chen H, Jiang L. Distributed Wireless Sensor Network Localization ViaSequential Greedy Optimization Algorithm[J]. Signal Processing, IEEE Transactions on2010,58(6):3328-3340
[86]李刚.设备点检信息管理系统应用研究[D].天津:天津大学,2011
[87]张庆,徐光华,华成,张熠卓.一类支持向量机的设备状态自适应报警方法[J].西安交通大学学报,2009,43(11):61-65
[88]李玮.机泵集群状态监测技术的开发与应用[J].中国设备工程,2002,12:31-32
[89] Mohseni, Hassan, Rosilah; Patel, Ahmed; Razali, Rozilawati. Comparative review studyof reactive and proactive routing protocols in MANETs [A]. in: Digital Ecosystems andTechnologies (DEST),20104th IEEE International Conference on [C], Dubai, UnitedAreb Emirates,2010.304-309
[90] Shanti, Chilukuri, Sahoo, Anirudha. DGRAM: A Delay Guaranteed Routing and MACProtocol for Wireless Sensor Networks [J]. Mobile Computing,2010,(09)10:1407-1423
[91] Warrier, Ajit, Janakiraman, Sankararaman; Ha, Sangtae; Rhee, Injong. DiffQ: PracticalDifferential Backlog Congestion Control for Wireless Networks [A]. in: INFOCOM2009, IEEE[C], Rio de Janeiro, Brazil,2009.262-270
[92]张霞.无线传感器网络路由协议若干关键问题研究[D].郑州:解放军信息工程大学,2009
[93]王义君,钱志鸿,王桂琴,张旭.无线传感器网络能量有效时间同步算法研究[J].电子与信息学报,2012,34(9):2174-2179
[94] Lasassmeh, Sami M., Conrad, James M.. Time synchronization in wireless sensornetworks: A survey [A]. in: IEEE SoutheastCon2010(SoutheastCon)[C], NorthCarolina, USA,2010.242-245
[95]刘兰涛.无线传感器网络中时间同步技术的研究[D].郑州:郑州大学,2010
[96]高辉. ZigBee技术在智能公交调度系统上的应用研究[D].西安:长安大学,2008
[97]杜青松,朱江,张尔扬.基于闲时逆寻和路由学习机制的优化AODV路由协议[J].通信学报,2011,32(8):64-71
[98]张霞,于宏毅,杨锦亚.基于AODV的自组网QoS路由协议[J].电子与信息学报,2005,27(3):355-358
[99]沈奔.无线Ad Hoc网络中AODV路由协议的研究与改进[D].南京:南京邮电大学,2010
[100] Ling Liu, Lei Zhu, Long Lin, Qihui Wu. Improvement of AODV Routing Protocol withQoS Support in Wireless Mesh Networks [A]. in: International Conference on SolidState Devices and Materials Science [C], Macao, China,2012.1133-1140
[101] Su, Szu-Lin Lin, Su, Yi-Wen; Chen, China-Sheng; Liu, Wen-Hsiung. A novel design ofnode-disjoint multi-path QoS routing in multi-hop ad hoc networks [A]. in: IDependable Systems and Networks Workshops (DSN-W),2011IEEE/IFIP41stInternational Conference on [C], Hong Kong, China,2011.292-296
[102] Srinivasan, P. Kamalakkannan, P.REAQ-AODV: Route stability and energy aware QoSrouting in mobile Ad Hoc networks [A]. in: Advanced Computing (ICoAC),2012Fourth International Conference on [C], New York, USA,2012.1-5
[103] Gulati, M.K. Kumar, K. A review of QoS routing protocols in MANETs [A]. in:Computer Communication and Informatics (ICCCI),2013International Conference on[C], Coimbatore, INDIA,2013.1-6
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |