用户名: 密码: 验证码:
基于子母式浮标的海浪谱反演技术的研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
提高海浪观测和预报能力,最大限度地降低海浪所带来的灾难性损失,是我国海洋监测高新技术发展的重要目标之一,对海浪的更精确的把握是一个具有普遍意义的问题。本文以已有的不规则海浪特征研究为基础,结合随机过程分析、非线性系统分析和小波理论的最新成果,为解决这一难题提供新的技术思路。
     本文提出了利用子母式浮标阵列进行海浪测量的方法。子母式浮标阵列由母浮标和四个对称分布的子浮标按照星型分布,母浮标由锚链固定于海底,子浮标与海底没有链接,仅通过连接杆铰接到母浮标上。在海浪作用过程中,子浮标绕母浮标中心轴上下运动,子母浮标之间不存在周向运动,它们的相对位置是固定的。并且,子浮标不受海底锚缆的牵制,从而具有很好的漂浮性能,能够测到海浪的高频部分波形。正是由于采用子母式结构,才大大减小了锚系对子浮标的约束作用,使子浮标能很好地随波浪运动。加上子浮标自身体积、质量都比较小,随波性得到了进一步改善,系统的测量精度可大幅度地得到提高。
     结合目前国内外的常规算法,通过浮标以及锚泊系统的受力分析,在实测数据的基础上,提出了一种新型的海浪信号反演谱,将该谱对海浪的谱估计与真实谱进行比较,发现该谱能够很好地逼近实测谱,曲线平滑,误差很小,并且参数确定简单,运算量小。进一步的仿真分析表明,在同一海况下,将该谱与PM谱、文氏谱进行相互印证,发现结果非常接近,更加证明了该谱的有效性。利用该反演谱作为靶谱,基于长峰波海浪理论,充分考虑了海浪随机性的前提下,构造海浪函数发生器进行海浪模拟,这对于缺少实测数据或者实测数据难以获得的现实情况具有重要意义。
     利用谱分析法对海浪的统计特性进行了分析。海浪谱是描述海浪的基本方法。在海洋学中,利用谱以随机过程来描述海浪是进行海浪研究的主要途径之一。它基于内部组成波的概念描述了海浪平均能量在内部频率或波数空间中的分布,它不仅能揭示海浪的内部结构,而且还可以提供海浪外观统计特征的信息,故海浪频谱的研究仍然是海浪研究的中心问题。
     基于小波理论,提出了能量自适应阈值算法,利用该算法对海浪信号进行时频分析,并充分利用Fourier变换在频域上的高分辨率,将小波变换与傅立叶变换结合起来,深入分析了海浪内在的非线性、非稳态特性。
     作为海浪实测系统的具体实现形式,本文建立了基于MEMS加速度传感器的高随波性子母式浮标系统,该系统具有体积小、重量轻,测量精度高的特点,从系统的稳定、安全、可靠工作,到超低功耗、高随波性等方面都进行了较为详细地论述。
Improve the capability of waves' observation and forecasting, and minimize the devastating loss caused by the ocean wave, is one of the important goals of high-tech development of marine monitoring in our country. The more accurate grasp of ocean wave is a universal problem. Based on the known characteristic study of irregular ocean waves, this paper put new technical ideas to solve the technical problems by combining random process analysis, nonlinear system analysis and the latest results of wavelet theory.
     This paper proposed wave-measuring method by using mother-son buoy arrays. The buoy array is made of the mother and four buoys which are symmetric distribution. The mother buoy is fixed in the seabed by chain, and son buoys do not link to the seabed, and only through the hinge connecting rod to the mother buoy. In the role of the waves, the son buoys move along the center axis around the mother buoy, and there is no motion between the mother buoy and the son ones. And their relative position is fixed. In addition, the son buoys are not linked to the seabed, which has a very good floating performance, and can be able to test some of the high-frequency wave form. It is due to the use of mother-son structure, it greatly reduces the mooring force to the son buoys, so the son buoys can move with waves better. In addition, the son buoys have small size, the quality being relatively small, the flowability and the measurement accuracy of the system can be enhanced.
     With given algorithm, it has analyzed the force on the buoy and mooring system. Based on real data, put forward a sort of new sea wave inversion spectra, and compare it with the true one, it is found that the spectrum can be a good approximation of the measured spectra, and it. has smooth curves and the error is very small, parameter-confirmation is simple and the computing amount of is small. And further, under the same condition, comparing the new inversion spectra with PM spectra and WEN spectra, then found it was close to them. Simulate ocean wave by the new spectra, construct ocean wave function generator, and found it's fast Fourier results are accord with our ocean, and again this proved the new spectra is valid.
     Using spectral analysis, it analyzed the statistical properties of the waves. Wave spectrum is the basic method to describe the waves. In oceanography, using spectral analysis as a random process to describe the waves is one of the main study. It is based on the internal composition- wave concept to describe the distribution of the waves average energy in the internal wave number space or frequency, it can not only reveal the internal structure of the waves, but also to provide the appearance of the demographic characteristics of the waves, therefore, the and the wave spectrum research remains the central issue.
     Based on wavelet theory, the paper put forward the energy-adaptive threshold algorithms, and used it to do time-frequency analysis on the waves, and made full use of the Fourier transform high-resolution in the frequency domain. Combined the wavelet transform with Fourier Transform, it analyzed the inherent non-linear, non-steady-state properties of the ocean wave deep.
     As the specific realization form of the waves measuring system, the paper designed the mother-son waves measuring system with high flowability, based on MEMS accelerometer. It has the following characteristic: a small size, light weight, high accuracy. The detailed design was carried out from the stabilization, safety, reliableness to ultra-low power, high flowability.
引文
[1]褚同金.中国海洋资料浮标[M].海洋出版社,2001年.
    [2]朱光文.我国海洋监测技术研究和开发的现状和未来发展[J].海洋技术,2006,21(2):28-34
    [3]王军成,刘岩.发展海洋监测高新技术振兴海洋仪器行业[J].山东科学,2006,19(5):1-6.
    [4]江林.由航行中船舶运动预报海浪[D].哈尔滨:哈尔滨工程大学,2004.
    [5]孙湘平.中国的海洋[M].商务印书馆,1992.
    [6]王军成,侯广利,刘岩,蒋慧略.船基激光法波浪测量仪器的研究[J].海洋技术,2004,23(4):14-18.
    [7]陈鸿志,钟磊.轻便式浪高仪研制[J].海洋技术,2003,22(2):62-66.
    [8]李扬华.声学测波仪的研制[J].海洋技术,1996,15(4):75-79.
    [9]吴中.水下压力阵列的测波方法[J].海洋技术,1996,15(4):75-79.
    [10]刘世萱,王孝坤,牟长青.新型波浪采集系统平台设计[J].海洋技术,2004,23(2):90-93.
    [11]龙小敏,王盛安,蔡树群,陈俊昌.SZS3-1型压力式波潮仪[J].热带海洋学报,2005,24(3):81-86.
    [12]李继刚,王剑,陈诚,周涛.X-波段导航雷达测波系统的设计与研究[J].海洋技术,2006,25(2):15-19.
    [13]黄为民,吴世才,施为华,文必洋,杨子杰.高频地波雷达探测海面动力学参数的研究[J].电讯技术,1999,6.
    [14]王士湖,杨玉东,李华.新型智能波高波速测量系统的设计[J].淮阴工学院学报,2006,15(1):12-16.
    [15]惠绍棠,霍树梅.中国海洋仪器设备研究发展的历史回顾[J].海洋技术,1998,17(4):1-6.
    [16]孙鹤泉.浅谈数学变换在海洋技术中的应用[J].海洋技术,2006,25(1):58-68.
    [17]李炎保等.小波变换在随机海浪及相关课题中的应用与前景[J].力学进展,2003,33(4):541-548.
    [18]傅文俊.应用小波理论分析海洋波浪[D].台南:成功大学,1994:1-39.
    [19]Hlawatsch.F.,Boudreaux-Bartels.G.Linear and quadratic time-frequency signal representations.IEEE SP Mag.April,1992:1-67.
    [20]彭玉华,小波变换与工程应用[M].科学出版社,2005.
    [21]秦前清、杨宗凯,实用小波分析[M].西安电子科技大学出版社,1994.
    [22]Shen Z,Mei L.Equilibrium spectra of water waves forced by intermittent wind turbulence.[J]J Phys Oceanogr.1993,23(9):2019-2026
    [23]Shen Z,Wang W,Mei L.Fine structure of wind waves analyzed with wavelet transform.[J]J Phys Oceanogr.1994.24:1085-1094
    [24]吴克俭等.论风浪的局域结构-风浪的局域结构与局城小波能谱[J]海洋与湖沼,1998,29(4):403-408
    [25]吴克俭等.论风浪的局域结构-风浪局域小波能谱的性质及应用[J].海洋与湖沼,1998,29(5):488-493
    [26]余宙文,蓝昌华.平稳正态反正弦定律在海浪谱估计中的应用[J].海洋与湖沼,1979,10(1):1-8
    [27]蒋德才,张大错,高新生.最大熵法与传统法海浪谱估计的比较[J].山东海洋学院学报,1985.15(3):12-21
    [28]柳淑学,吴斌,李木国,王静.无反射不规则波造波机系统的研究[J].水动力学研究与进展,2003,18(5):532-540.
    [29]王鑫.风浪频谱的成长方式研究.硕士学位论文.中国科学院研究生院,2007,5.
    [30]C.Gucdcs Soarcs,Z.Cherneva.Spectrogram analysis of the time-frequency characteristics of ocean wind waves[J].Ocean Engineering,32(2005):1643-1663
    [31]Chcrneva,Z.Gucdcs Soarcs.2001.Local non-stationary properties of wind wave groups,Proceedings of the International Conference Design and Operation for Abnormal Conditions[J].RINA,London,UK,6th-7th,November 2001,pp.137-145
    [32]Veltchceva.A,Gucdes Soarcs.C.,2004.Identification of the components of wave spectra by Hilbert Huang transform method.Appl Ocean Res.26,1-12
    [33]Su.M.-Y.1982.Evolution of groups of gravity waves with moderate to high steepness.Phys.Fluids 25,2167-2174
    [34]Huang,N.,Shen.Z.,Long,S,1999.The new view of non-linear water waves:the Hilbert spectrum.Annu.Rev Fluid Mech.31:417-457
    [35]王军成.中国海洋资料浮标[M].海洋出版社,2006.
    [36]肖越.系泊系统时域非线性计算分析[D].大连:大连理工大学,2006.
    [37]陈广莲.确定锚泊设备的直接计算法(Excel).船舶设计通讯,2004,1:43-46.
    [38]古毅杰,于晓利.锚泊里及其变化的估计[J].世界海运,1996,4:17-21.
    [39]杨斌,三峡库区航道深水浮标受力及缆索长度计算探讨[J].水运工程,2004,9:39-45
    [40](美)贝托(Berteaux,H.O.).浮标工程[M].北京:科学出版社,1980
    [41]袁新,王景田.船型海洋资料浮标的设计[J].黄渤海海洋,2002,20(2):118-124.
    [42]Seon M.Han and Mark A.Grosenbaugh.On the Design of Single-Point Cable-Linked Moorings for Ocean Observatories.IEEE JOURNAL OF OCEANIC ENGINEERING,VOL.31,NO.3,JULY 2006:585-601.
    [43]Mikael Eriksson,Jan Isberg,and Mats Leijon.Theory and Experiment on an Elastically Moored Cylindrical Buoy.IEEE JOURNAL OF OCEANIC ENOINEERINO.VOL.31,NO.4,OCTOBER 2006:959-964
    [44]黄祥鹿,陆鑫森.海洋工程流体力学及结构动力响应[M].上海:上海交通大学出版社,1992.
    [45]郝春玲,张亦飞,滕斌,徐伟,赵海涛.流速分布及锚链自身刚度对弹性单锚链系统变形和受力的影响[J].海洋学研究,2006,24(3)
    [46]滕斌,郝春玲,韩凌.Chebyshev多项式在锚链分析中的应用[J].中国工程科学,2005,7(1):21-26.
    [47]丁定勇.水下锚泊系统计算[J].青岛海洋大学学报(增刊),1995:100-105
    [48]M.Eriksson,J.Isberg,M.Leijon.Hydrodynamic modelling of a direct drive wave energy converter,Int.J.Eng.Sci,vol.43,no.17-18,pp.1377-1387,Nov.2005.
    [49]徐德伦.随机海浪理论[M].北京:高等教育出版社,2001.
    [50]Liu,P.,2000a.Is the wind wave frequency spectrum outdated? Ocean Eng.27,577-588.
    [51]C.Guedes Soares,Z.Cherneva.Spectrogram analysis of the time-frequency characteristics of ocean wind waves.Ocean Eng.32(2005):1643-1663.
    [52]刘百桥.几种常用海浪频谱的参量化形式和比较[J].海洋通报,1991,10(4):1-10.
    [53]Huang,N.,Shen,Z.,Long,S.,1999.The new view of non-linear water waves:the Hilbert spectrum.Annu.Rev Fluid Mech.31.417-457.
    [54]Liu.P.2000b.Wave grouping characteristics in near shore Great Lakes.Ocean Eng.27,1221-1230
    [55]文圣常,余宙文.海浪理论与计算原理[M].147页,科学出版社,1984.
    [56]中国的海洋.PDF电子书.来源网站:www.dianzishu.net
    [57]王科俊.海洋运动体控制原理[M].哈尔滨工程大学出版社,2005.
    [58]方华灿.海洋环境载荷的不确定性分析[J].石油机械,1994,9.
    [59]黄培基,胡泽建.胶州湾风浪频谱的拟合模式[J].黄渤海海洋,1987,5(3):1-6.
    [60]付昱华,改进的P-M谱[J].海洋预报,1992,11(4):29-35.
    [61]文圣常,张大错,郭佩芳等.改进的理论风浪频谱[J].海洋学报,1990,12(3):271-283.
    [62]付昱华.分段多项式风浪频谱[J].海洋预报,1993,10(4):9-16.
    [63]付昱华.改进的理论风浪谱高频部分[J].海洋预报,1993,10(4):48-52.
    [64]付昱华.理论风浪频谱的数值订正[J].海洋湖沼通报,1993,10(4):8-15.
    [65]Schulman,T.,2001.Spectral frequency analysis of nonlinear water waves based on the Hilbert-Huang transformation.Proc.20th Int.Conf.on Offshore Mech.and Arctic Eng(OMAE'O1),ASME,New York OMAE 2001/S&R-2166
    [66]Phillips,O.,M.Spectral and statistical properties of the equilibrium range in wind generated gravity waves.J.Fluid Mech.(1984) 156 505-531
    [67]任绍忠,王国瑾.曲线曲面拟合中型值点参数的最优化[J].2006,11(1):96-103.
    [68]全伟,李宏男.基于小波变换的拟合规范反应谱多维地震动模拟[J].地震工程与工程振动,2007,27(4):103-109.
    [69]齐宝权.采用中心化最小二乘法进行测井曲线拟合[J].测井技术,2007,31(4):331-335.
    [70]王焕文,王殿卿.一种电动冲箱式造波机的研制[J].华中科技大学学报(自然科学版),2002,9:44-48.
    [71]祝力,王海涛,张乔斌.海浪动态仿真研究[J].船海工程,2006,5:82-86.
    [72]张寒元,于定勇.三维波峰的数值模拟[J].海洋工程,2004,22(1):52-59.
    [73]邱宏安.随机海浪模型的建立及仿真分析[J].系统仿真学报,2000,12(3)
    [74]俞聿修等.多向不规则波浪生成的数值方法.[J]海洋学报.1992,4:16-23.
    [75]吕朝霞,吴晓蓓,胡维礼.用于函数逼近的小波网络[J].系统工程与电子技术,2000,22(5),43-46.
    [76]李晖,郭晨,李晓方.基于小波变换和ANFIS模型的不规则海浪组合预报[J].系统工程与电子技术,2005,27(2):324-328.
    [77]金鸿章,姚绪梁.船舶控制原理[M].哈尔滨:哈尔滨工程大学出版社,2001.
    [78]彭玉华.小波变换与工程应用[M].北京:科学出版社,2005.
    [79]Stanislaw R.Massel.Wavelet analysis for processing of ocean surface wave records[J].Ocean Engineering 28(2001):957-987
    [80]李世雄,小波理论及其应用[M],天津:南开大学数学研究所计算数学年印,1992.
    [81]Zhang Q,Benveniste A.Wavelet Network[J].IEEE Trans.on Neural Networks,1992,3(6):889-898.
    [82]Rioul O,Vetterli M.Wavelets and Signal Processing[J].IEEE Signal Processing Magzine.1991,(10):14-38.
    [83]杨建国著.小波分析及其工程应用[M].机械工业出版社,2005.
    [84]Jansen M,Bultheel A.Multiple wavelet threshold estimation by generalized cross validation for images with correlated noised[J].IEEE Trans on IP,1999,8(7):947-954
    [85]Donoho D L.Denoisin by soft-thresholding[J].IEEE Trans on IT,1995,41(3):613-627
    [86]Andrew B,Gao Hongye.Wave Shrinkage Functions and Threshold[J].SPIE,1995,2569:270-281.
    [87]Mark Hansen,Bin Yu.Wavelet thresholding via MDI for natural images[M].IEEE trans on information theory,2000,46(5):1778-1788.
    [88]Vidaknvic B,Lozoya CB.On time-dependent wavelet denosing[J].IEEE Trans Signal Processiing,1998,46(9):2549-2551.
    [89]王益艳,傅博,陈伟伟,梁娟.基于小波变换的图像自适应阈值去噪算法[J].微计算机应用,2008,29(1):15-19.
    [90]Chang S G Yu B,Vetterli M.Adaptive wavelet thresholding for image denoising and compression.IEEE Trans Image Processing,2000,9(9):532-1546
    [91]谢杰成,张大力,徐文立.一种小波去噪方法的几点改进[J].清华大学学报,2002,42(9):1269-1272.
    [92]庞绍芳,张代英,陈跃宁.基于小波包分析的能量阈值消噪[J].辽宁大学学报(自然 科学版).2004,31(2)
    [93]Shen,Z.,Mei,L.Fine structure of wind wave analyzed with wavelet-transform[J].Journal of Physical Oceanography,1994.24:1085-1094
    [94]胡昌华,张军波,夏军等.基于MATLAB的系统分析与设计—小波分析[M].西安:西安电子科技大学出版社,1999.
    [95]徐克宝,王军成,陈广庆,高丽丽,李小波.用三维MEMS力学量传感器对涌浪微观形态测量的研究[J].传感技术学报,2006,19(5):1509-1512.
    [96]黄俊钦.微机电系统(MEMS)促进测量学发展[J].仪器仪表学报,2001,22(1):107-111.
    [97]周华,朱均,徐华.数字式MEMS加速度传感器ADXL202及应用[J].仪表技术及传感器,2003(8).
    [98]魏萍.基于ARM的嵌入式航向姿态参考系统的研究.杭州:浙江大学硕士论文,2006.
    [99]秦勇,臧希品,王晓宇,赵杰,蔡鹤皋.基于MEMS惯性传感器的机器人姿态检测系统的研究[J].传感技术学报,2007,20(2):298-301.
    [100]王占平,唐小宏,王亚非等.基于MEMS加速度计的飞行器姿态识别技术研究[J].压电与声光,2007,29(2):224-227.
    [101]朱荣,周兆英.基于MEMS的姿态测量系统.测控技术,2002,21(10):6-10.
    [102]Zhu R,Zhou Z Y,Sun X F.MEMS navigation system for general vehicle[A].IEEE International Conference on Mechatronics and Machine in Practice[J].2001
    [103]杨晖,刘欣,孙蓉霞.数字式MEMS加速度传感器在车载导航中的应用[J].仪器仪表学报,2005,26(8)增刊:441-444.
    [104]刘武发,蒋蓁,龚振邦.基于MEMS加速度传感器的双轴倾角计及其应用[J].传感器技术,2005.25(3):86-89.
    [105]TI.MSP430X4XX family user's guide.2004.
    [106]魏小龙.MSP430系列单片机接口技术及系统设计实例[M].北京:北京航空航天大学出版社,2002.
    [107]马洪连,郑保重,王伟.基于MEMS技术倾角测量系统的设计与实现.仪器仪表学报,2005,26(8)增刊:185-188.
    [108]彭树生.数字电子罗盘HMR3000的特性及应用[J].电子技术,2004,8:39-44.
    [109]HMR 3000 Digital Compass Module User's Guide Honeywell Inc.
    [110]王孝坤,刘世萱,赵维三.数字滤波在浮标波浪数据处理中的应用[J].海洋技术,2004,23(2):93-96.
    [111]陈俊昌,马朝晖.海浪数据高通数字滤波的一种方法[J].热带海洋,1998,17(4):84-90.

© 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