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      |本期目錄/Table of Contents|

      [1]李新波,朱閣彥,李厚禹,等.三維超聲陣列風速風向測量方法[J].西安交通大學學報,2019,53(09):70-78.[doi:10.7652/xjtuxb201909010]
       LI Xinbo,ZHU Geyan,LI Houyu,et al.A Method for Measuring Wind Velocity and Direction with Three-Dimensional Ultrasound Array[J].Journal of Xi'an Jiaotong University,2019,53(09):70-78.[doi:10.7652/xjtuxb201909010]
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      三維超聲陣列風速風向測量方法(PDF)

      《西安交通大學學報》[ISSN:0253-987X/CN:61-1069/T]

      卷:
      53
      期數:
      2019年第09期
      頁碼:
      70-78
      欄目:
      出版日期:
      2019-09-10

      文章信息/Info

      Title:
      A Method for Measuring Wind Velocity and Direction with Three-Dimensional Ultrasound Array
      作者:
      李新波 朱閣彥 李厚禹 賈云龍
      吉林大學通信工程學院, 130022, 長春
      Author(s):
      LI Xinbo ZHU Geyan LI Houyu JIA Yunlong
      College of Communication Engineering, Jilin University, Changchun 130022, China
      關鍵詞:
      三維風參數測量 超聲波傳感器陣列 波束形成算法 測量精度
      Keywords:
      three-dimensional wind parameter measurement ultrasonic sensor array beamforming algorithm measurement accuracy
      分類號:
      TH765
      DOI:
      10.7652/xjtuxb201909010
      摘要:
      針對傳統時差法測風精度受超聲波傳播時間測量精度直接影響的問題,提出了一種基于空間超聲波傳感器陣列及波束形成算法的三維風參數測量方法。使用一種新的一發多收的空間超聲波傳感器陣列結構,利用波束形成算法空域濾波,實現了增強期望信號、抑制干擾、提高測風精度的效果,仿真實驗結果表明:在信噪比為5 dB時,所提方法幾乎能達到100%的測量成功率,且信噪比越大,測量成功率越高,均方根誤差越小。搭建了硬件實驗平臺對所提測風方法進行實驗驗證,結果表明:在允許結構誤差和設備誤差的前提下,所測風洞中的風速為6.363 7 m/s,與機械式測風儀所測結果6.443 m/s僅相差0.079 3 m/s,初步驗證了所提方法的工程可行性。所提方法可為測風方法的探索提供一種新思路。
      Abstract:
      The accuracy of wind measurement by the traditional time difference method is directly affected by the measurement accuracy of the ultrasonic propagation time.A three-dimensional wind parameter measurement method based on spatial ultrasonic sensor array and beamforming algorithm is proposed, in which a new structure of spatial ultrasonic sensor array with one transmitter and multiple receivers is adopted and the beamforming algorithm is used for spatial filtering to enhance the desired signal, suppress interference and improve the accuracy of wind measurement.Simulation shows that the success rate of wind measurement can reach almost 100% when the signal-to-noise ratio is 5 dB, and the higher the signal-to-noise ratio, the higher the success rate of wind measurement and the smaller the root mean square error.A hardware experimental platform is constructed to verify the proposed wind measurement method.It is shown that in wind tunnel the wind speed measured is 6.363 7 m/s, which is only 0.079 3 m/s different from the result of 6.443 m/s measured by mechanical anemometer under the premise of allowable structural error and equipment error, so the feasibility of the method is preliminarily verified.This method provides a new idea for the following-up exploration of wind measurement methods.

      參考文獻/References:

      [1] ESPINOZA C E M, VILLANUEVA J M M, CATUNDA S Y C.Wind speed measurement and uncertainty analysis using ultrasonic sensors with Kalman filtering [C]∥2010 IEEE Instrumentation & Measurement Technology Conference Proceedings.Piscataway, NJ, USA: IEEE, 2010: 624-628.
      [2] 高偉.基于超聲波傳感器陣列及多重信號分類算法的風速風向測量方法 [D].長春: 吉林大學, 2017: 1-7.
      [3] 郭星辰.三維超聲波測風系統的設計 [D].南京: 南京信息工程大學, 2013: 1-3.
      [4] 李春玉, 丁喜波, 鄒一風.相位差法超聲波三維風速測量方法研究 [J].哈爾濱理工大學學報, 2016, 21(4): 45-49.
      LI Chunyu, DING Xibo, ZOU Yifeng.Study of the ultrasonic three-dimensional wind speed measurement methods based on the phase difference [J].Journal of Harbin University of Science and Technology, 2016, 21(4): 45-49.
      [5] CAMP D W, TURNER R E, GILCHRIST L P.Response tests of cup, vane, and propeller wind sensors [J].Journal of Geophysical Research, 1970, 75(27): 5265-5270.
      [6] ACRIVLELLIS M.Determination of the magnitudes and signs of flow parameters by hot-wire anemometry: part II Measurements using a triple hot-wire probe [J].Review of Scientific Instruments, 1989, 60(7): 1281-1285.
      [7] BUCHHAVE P, GEORGE W K, LUMLEY J L.The measurement of turbulence with the laser-Doppler anemometer [J].Annual Review of Fluid Mechanics, 1979, 11(1): 443-503.
      [8] 張淳民, 相里斌, 趙葆常.用Fabry-Perot干涉儀測量上層大氣風場的速度和溫度 [J].西安交通大學學報, 2000, 34(4): 97-99.
      ZHANG Chunmin, XIANG Libin, ZHAO Baochang.Velocity and temperature measurement of upper atmosphere wind field using Fabry-Perot interferometer [J].Journal of Xi'an Jiaotong University, 2000, 34(4): 97-99.
      [9] KHYAM M O, GE S S, LI X D, et al.Highly accurate time-of-flight measurement technique based on phase-correlation for ultrasonic ranging [J].IEEE Sensors Journal, 2017, 17(2): 434-443.
      [10] VILLANUEVA J M M, CATUNDA S Y C, FREIRE R C S, et al.Wind speed measurement based on time-of-flight estimation using extended Kalman filter [C]∥2013 IEEE International Instrumentation and Measurement Technology Conference.Piscataway, NJ, USA: IEEE, 2013: 1182-1187.
      [11] VILLANUEVA J M M, CATUNDA S Y C, TANSCHEIT R, et al.Wind speed measurement data fusion of phase difference and time-of-flight techniques using ultrasonic transducers [C]∥2007 IEEE Instrumentation & Measurement Technology Conference.Piscataway, NJ, USA: IEEE, 2007: 1-6.
      [12] 鄧云逸, 姚振東, 劉凱, 等.超聲波時差法的三維矢量風測量系統 [J].單片機與嵌入式系統應用, 2016, 16(4): 25-28.
      DENG Yunyi, YAO Zhendong, LIU Kai, et al.Three-dimensional vector wind measurement system based on ultrasonic time-difference method [J].Microcontrollers & Embedded Systems, 2016, 16(4): 25-28.
      [13] FRANK J M, MASSMAN W J, EWERS B E.A Bayesian model to correct underestimated 3-D wind speeds from sonic anemometers increases turbulent components of the surface energy balance [J].Atmospheric Measurement Techniques, 2016, 9: 1-48.
      [14] LOPES G M G, PEREIRA D S J D, DE FRANCA J A, et al.Development of 3-D ultrasonic anemometer with nonorthogonal geometry for the determination of high-intensity winds [J].IEEE Transactions on Instrumentation and Measurement, 2017, 66(11): 1-9.
      [15] LI Xinbo, SUN Haixin, GAO Wei, et al.Wind speed and direction measurement based on arc ultrasonic sensor array signal processing algorithm [J].ISA Transactions, 2016, 65: 437-444.
      [16] 雷遠.MUSIC算法的研究及DSP實現 [D].青島: 中國海洋大學, 2009: 6-26.
      [17] 鄭毅.超聲波三維測風系統的開發 [D].蘭州: 蘭州理工大學, 2014: 8-9.
      [18] 時德鋼, 劉曄, 王峰, 等.超聲波測距儀的研究 [J].計算機自動測量與控制, 2002, 10(7): 480-482.
      SHI Degang, LIU Ye, WANG Feng, et al.Research of the ultrasonic distance-measure instrument [J].Computer Automated Measurement & Control, 2002, 10(7): 480-482.
      [19] 張小飛, 汪飛, 陳偉華.陣列信號處理的理論與應用 [M].北京: 國防工業出版社, 2013: 33-40.
      [20] FROST O L.An algorithm for linearly constrained adaptive array processing [J].Proceedings of the IEEE, 1972, 60(8): 926-935.

      備注/Memo

      備注/Memo:
      收稿日期: 2019-04-10。作者簡介: 李新波(1980—),男,副教授;痦椖: 吉林大學研究生創新研究計劃資助項目(101832018C021)。
      更新日期/Last Update: 2019-09-04
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