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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳琪芳 | |
dc.contributor.author | Wen-Yang Liu | en |
dc.contributor.author | 劉文暘 | zh_TW |
dc.date.accessioned | 2021-06-16T23:28:48Z | - |
dc.date.available | 2020-03-03 | |
dc.date.copyright | 2020-03-03 | |
dc.date.issued | 2020 | |
dc.date.submitted | 2020-02-21 | |
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[2] R. B. Lindsay, 'Acoustics-Historical and Philosophical Development,' Dowden, Hutchinson & Ross, Stroudsburg, PA., 1972. [3] M. a. J. W. Ewing, 'Propagation of Sound in the Ocean,' 27 Oct 1948. [4] 汪德昭, 水声学. 科学出版社, 2013. [5] P. C. Etter, Underwater acoustic modeling: principles, techniques and applications. CRC Press, 1995. [6] N. D. R. Committee, 'Physics of Sound in the sea,' Summary Technical Report of Division 6, NRDC, vol. 8, 1946. [7] C. L. Pekeris, 'Theory of propagation of explosive sound in shallow water,' Geol. Soc. Am. Mem., vol. 27, 1948. [8] F. D. Tappert, 'The parabolic approximation method,' in Wave propagation and underwater acoustics: Springer, 1977, pp. 224-287. [9] D. Weston and P. Rowlands, 'Guided acoustic waves in the ocean,' Reports on Progress in Physics, vol. 42, no. 2, p. 347, 1979. [10] L. M. Brekhovskikh, Y. P. Lysanov, and R. T. Beyer, 'Fundamentals of ocean acoustics,' ed: ASA, 1991. [11] F. B. Jensen, W. A. Kuperman, M. B. Porter, and H. Schmidt, Computational ocean acoustics. Springer Science & Business Media, 2011. [12] 苑梅俊, '淺海水域之水下音傳不確定性分析與偵測效能之研究,' 臺灣大學工程科學及海洋工程學研究所學位論文, pp. 1-166, 2007. [13] W. D. Wilson, 'Equation for the speed of sound in sea water,' The Journal of the Acoustical Society of America, vol. 32, no. 10, pp. 1357-1357, 1960. [14] L. E. Kinsler, A. R. Frey, A. B. Coppens, and J. V. Sanders, 'Fundamentals of acoustics,' Fundamentals of Acoustics, 4th Edition, by Lawrence E. Kinsler, Austin R. Frey, Alan B. Coppens, James V. Sanders, pp. 560. ISBN 0-471-84789-5. Wiley-VCH, December 1999., p. 560, 1999. [15] Y.-Y. Chang, Y.-T. Lin, C.-F. Chen, and W.-S. Hwang, 'Using Gaussian beam model in oceans with penetrating slope bottoms,' in Theoretical and Computational Acoustics 2005, 2005: Singapore: World Scientific. [16] 劉啟華, '音響傳播損耗研究及被動式聲納評估,' 國立台灣海洋大學應用地球物理研究所碩士論文, 1997. [17] W. J. Hurley, An Introduction to the Analysis of Underwater Acoustic Detection. Center for Naval Analyses, 1980. [18] R. J. Urick, 'Principles of underwater sound 3rd edition,' Peninsula Publising Los Atlos, California, 1983. [19] 劉孟竺, '三維海洋音傳與海床沙丘效應之研究,' 臺灣大學工程科學及海洋工程學研究所學位論文, pp. 1-108, 2014. [20] C. Harrison and J. Harrison, 'A simple relationship between frequency and range averages for broadband sonar,' The Journal of the Acoustical Society of America, vol. 97, no. 2, pp. 1314-1317, 1995. [21] G. V. Frisk, Ocean and seabed acoustics: a theory of wave propagation. Pearson Education, 1994. [22] 李政恩, '海洋環境對聲納偵測效能及反潛搜索戰術之影響,' 臺灣大學工程科學及海洋工程學研究所學位論文, pp. 1-118, 2006. [23] T. Benthos, 'ELP-362D emergency locator beacon user’s manual,' Rev. L, 2011. [24] R. Barmak, A. L. de Oliveira, P. São Thiago, F. dos Santos, M. V. Lopes, and G. Cernicchiaro, 'Underwater Locator Beacon signal propagation on tropical waters,' in 2017 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics), 2017: IEEE, pp. 1-4. [25] R. J. Urick, Principles of underwater sound for engineers. Tata McGraw-Hill Education, 1967. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/65183 | - |
dc.description.abstract | 飛機上有一種航電設備稱為飛航紀錄器(Flight Recorder),俗稱「黑盒子」。它記錄著每趟飛行任務的過程,如果飛機掉入湖泊或海中,飛航紀錄器上有一顆水下定位發報器(Underwater Locator Beacon, ULB),ULB 只要接觸到水就會觸發頻率 37.5 kHz 的超音波,可持續發射 30 天的訊號。協助搜救的打撈船會在飛機失事的海域規劃測線,利用全向性水下麥克風沿線收集聲音訊號強度,並利用收集的資訊整理出飛航紀錄器的可能位置,再由打撈的廠商使用ROV進行目視的確認進而開始打撈作業,過程十分耗時且人力與金錢成本不小。為協助判定與確認飛航紀錄器位置,縮短定位及打撈時間,本研究透過運安會提供107年2月5日空勤總隊黑鷹直昇機於蘭嶼外海發生飛航事故的搜救資訊,使用高斯波束方程式(Gaussian Beam Model,GBM)為基礎架構,給予合適的初始聲源條件進行模擬,藉此觀察音傳損耗(Transmission Loss, TL)的計算結果,模擬結果與飛航紀錄器實際位置相近。從現在開始出廠的飛機之飛航紀錄器除原本標配頻率為37.5 kHz之水下定位發報器,需要另外添加配備頻率為8.8 kHz之水下定位發報器,增加飛機失事時的可搜索範圍。本研究比較了這兩種頻率之水下定位發報器在臺灣四周海域的偵測距離,可以發現新添加之8.8 kHz水下定位發報器對減少搜索和救援所需的時間很有幫助。 | zh_TW |
dc.description.abstract | A flight recorder is installed on each airplane, which is called as “black box”, and it records the process every flight. Thus, if the airplane crashes and plumps into water, the underwater locater beacon (ULB) will be activated and emited supersonic sound at 37.5 kHz for 30 days. The rescue team will do their best to plot track, use omi-directional hydrophone to detect the signal emitted from ULB, and derive the possible location of ULB with the acoustic reception of ULB and other flight information before crashing. When possible locations of ULB are determined, the chartered vessel would go around these locations with ROV to confirm the site and start to salvage the ULB. This salvage process is very costly and time consuming. We utilize underwater acoustic detecting simulation to enhance the search process, which is to identify the location with acoustic data assimilation and transmission loss simulation. The ULB of NA-706 Black Hawk Helicopter in the tragedy in February, 2018, was salvaged successfully and the location is close to the estimated location based on the scheme of the acoustic data assimilation and transmission loss simulation proposed in this paper. Recently, the aircraft manufactured needs to be equipped with a 8.8 kHz flight recorder. This study compares the detection ranges of these two types of flight recorders. It can be found that the detection range of 8.8 kHz is larger and be helpful to reduce the time required for search and rescue. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T23:28:48Z (GMT). No. of bitstreams: 1 ntu-109-R06525035-1.pdf: 10131428 bytes, checksum: f2af132ea176b95954ac6cbc6bdbf9ef (MD5) Previous issue date: 2020 | en |
dc.description.tableofcontents | 誌 謝 i
摘 要 ii ABSTRACT iii 目錄 iv 圖目錄 vi 表目錄 xv 第1章 緒論 1 1.1 前言 1 1.2 研究動機及目的 3 1.3 文獻回顧 4 1.4 論文架構 7 第2章 研究方法 8 2.1 水中聲速 8 2.2 高斯波束方程式(Gaussian Beam Model) 9 2.3 信號餘額與偵測機率 14 2.4 目標位置判定 16 2.5 距離與頻率平均方式 17 2.6 聲波互換理論 19 2.7 偵測距離 21 第3章 飛航紀錄器音傳損耗模擬 22 3.1 模擬參數設定 22 3.2 比較不同熱區與水下麥克風之音傳損耗與偵測機率結果 23 3.3 比較經距離平均後之音傳損耗與偵測機率結果 31 第4章 8.8 kHz水下音傳損耗量測實驗 39 4.1 實驗介紹 39 4.1.1 實驗目標 39 4.1.2 實驗規劃與配置 40 4.2 實驗結果與討論 43 4.3 臺灣四周海域四季八方位偵測距離比較 47 4.3.1 水下定位發報器頻率37.5 kHz之偵測距離計算結果 50 4.3.2 水下定位發報器頻率8.8 kHz之偵測距離計算結果 52 4.3.3 偵測距離計算結果與討論 54 第5章 結論與未來研究方向 55 5.1 結論 55 5.2 未來展望 56 5.2.1 飛航紀錄器搜索規劃模擬系統 (Flight Recorder Search Planning System, FRSPS) 56 5.2.2 搜索設備使用之建議 58 5.2.3 實海域驗證及搜索訓練 60 5.2.4 研究被動拖曳式水下麥克風陣列搜索方法 60 參考文獻 63 附錄A 聲納方程式 65 附錄B 37.5 kHz水下定位發報器偵測距離模擬 68 附錄C 8.8 kHz水下定位發報器偵測距離模擬 79 | |
dc.language.iso | zh-TW | |
dc.title | 飛航紀錄器水下定位研究 | zh_TW |
dc.title | Study on Underwater Positioning of Flight Recorder | en |
dc.type | Thesis | |
dc.date.schoolyear | 108-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 黃維信,邱永盛,莊禮彰,方銀營 | |
dc.subject.keyword | 飛航紀錄器,高斯波束方程式,音傳損耗,水下定位,偵測距離, | zh_TW |
dc.subject.keyword | flight recorder,Gaussian Beam Model (GBM),transmission loss,underwater positioning,detection range, | en |
dc.relation.page | 89 | |
dc.identifier.doi | 10.6342/NTU202000541 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2020-02-21 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 工程科學及海洋工程學研究所 | zh_TW |
顯示於系所單位: | 工程科學及海洋工程學系 |
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