(3.238.186.43) 您好!臺灣時間:2021/03/02 09:51
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:戴子強
研究生(外文):Dai, Zih-Chiang
論文名稱:TDR 感測平台資訊監測系統
論文名稱(外文):A monitoring information system with TDR sensing capability platform
指導教授:謝筱齡蔡文能蔡文能引用關係
指導教授(外文):Hsieh, Sheau-LingTsai, Wen-Nung
學位類別:碩士
校院名稱:國立交通大學
系所名稱:網路工程研究所
學門:教育學門
學類:教育科技學類
論文種類:學術論文
論文出版年:2010
畢業學年度:98
語文別:英文
論文頁數:35
中文關鍵詞:時域反射法服務導向架構含沙濃度嵌入式系統
外文關鍵詞:Time Domain ReflectometryService-Oriented ArchitectureSuspended Sediment ConcentrationEmbedded system
相關次數:
  • 被引用被引用:2
  • 點閱點閱:172
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:9
  • 收藏至我的研究室書目清單書目收藏:0
傳統監測系統多仰賴人工觀測方式,若遇到颱風期間因為氣候、交通、安全等因素,耗時的人力成本過高且分析資料很困難。本論文採用時域反射法(TDR ,Time Domain Reflectometry)做為自動化監測系統核心。,而且利用可同時量測水位、降雨量、沖刷、位移、錯動變形及含砂濃度之整合型遠端自動監測資訊系統,讓多項監測技術可同時在單一平台的監測資訊系統上運作。TDR使用同軸纜線做傳輸資料並連接多工器,而多工器主要的功能在於擴充同時監測的感測器數量。
我們希望發展一套資訊化監測系統讓監測人員只需要透過網頁即可及時觀看各個監測站點最新資料,遠端控制各個監測站點和便利的方式取得歷史資料做分析。監測人員只需要透過網頁即可及時觀看各地最新資料並可以遠端控制監測站點,並且此系統可以讓監測人員根據歷史資料做分析,並取得報表。

The traditional monitoring systems rely on manual observation. During the typhoon seasons, there is traffic, safety and other factors cannot reach the monitoring sites. Furthermore, it takes high labor cost and time-consuming to analyze data. The study applies Time Domain Reflectometry (TDR) sensing technique to build monitoring system. The system can measure water levels, rainfall amounts, scours, displacements, dislocation deformations and suspended sediment concentrations. It is a unique approach of pulsing several long coaxial probes, multiplexing (8 channels) and analyzing the reflected voltage signatures. This study establishes an automatic and integrated monitoring system. It provides a convenient method to control each monitoring site and obtain real-time data, historical information queries, and analyses via browsers.
Chapter 1 Introduction 1
Chapter 2 Background 2
2.1 Background 2
2.1.1 Monitoring System 2
2.1.2 Time Domain Reflectometry (TDR) Overview 2
2.1.3 Data Acquisition (DAQ) Overview 2
2.1.4 LabVIEW Overview 3
Chapter 3 Design Objectives & Requirements 5
Chapter 4 Design and Implementation 6
4.1 Overall architecture 6
4.2 Preliminary research 7
4.2.1 Monitoring System overall architecture 7
4.2.2 TDR component 8
4.2.3 DAQ component 8
4.2.4 TDR LabVIEW components 8
4.2.5 DAQ LabVIEW components 9
4.2.6 Embedded component 9
4.2.7 Monitoring System Data Schemes 10
4.2.7.1 Suspended Sediment Concentration (SSC) 10
4.2.7.2 Water Level 11
4.3 Data Center Overall architecture 12
4.3.1 Station Management Module 13
4.3.2 Period Management Module 15
4.3.3 Text Files Path Module 16
4.3.4 Parsing Text Files Module 17
4.3.5 Backup Module 19
4.3.6 Display Real-time Data Module 20
4.3.7 Monitoring Data Query Module 23
4.3.8 Drawing Line Chart Module 26
4.3.9 Monitoring Data Export Module 26
4.3.10 Manual Input Data Module 28
4.3.11 Remote Control Monitor System Module 30
Chapter 5 Conclusions and Future Work 33
Reference 34


[1] A. Turner, Tcpreplay, http://tcpreplay.synfin.net/trac/.
[2] W. Feng, A. Goel, A. Bezzaz, W. Feng, J. Walpole, "TCPivo: A High-Performance Packet Replay Engine,” ACM SIGCOMM 2003 Workshop on Models, Methods, and Tools for Reproducible Network Research (MoMeTools), August 2003.
[3] Tomahawk, http://www.tomahawktesttool.org/, 2005.
[4] G. H. Hong and S. F. Wu., “On interactive internet traffic replay,” in 8th Symposium on Recent Advanced Intrusion Detection (RAID), LNCS, Seattle, September 2005.
[5] Y.-C. Cheng, U. Holzle, N. Cardwell, S. Savage, and G. Voelker, “Monkey see, monkey do: A tool for tcp tracing and replaying,” In Proceedings of the 2004 USENIX Annual Technical Conference, June 2004.
[6] A. Turner, “Flowreplay design notes,” http://synfin.net/papers/flowreplay.pdf.
[7] Weidong Cui, Vern Paxson, Nick C. Weaver, and Randy H. Katz., “Protocol-Independent Adaptive Replay of Application Dialog,” in Proceedings of the 13th Annual Network and Distributed System Security Symposium (NDSS), Feb 2006.
[8] James Newsome, David Brumley, Jason Franklin, and Dawn Song, “Replayer: Automatic Protocol Replay by Binary Analysis,” ACM Conference on Computer and Communications Security, October 2006.
[9] F. Schneider, J. Wallerich, A Feldmann, “Packet Capture in 10-Gigabit Ethernet Environments Using Contemporary Commodity Hardware,” Passive and Active Measurement Conference , April 2007.
[10] S. Kornexl, V. Paxson, H. Dreger, A. Feldmann and R. Sommer, “Building a Time Machine for Efficient Recording and Retrieval of High-Volume Network Traffic,” in Proceedings of ACM Internet Measurement Conference, October 2005.
[11] G. Maier, R. Sommer, H. Dreger, A. Feldmann, V. Paxson and F. Schneider, “Enriching Network Security Analysis with Time Travel,” in Proceedings of ACM SIGCOMM, August 2008.
[12] T. Karagiannis, A. Broido, M. Faloutsos, and K. Claffy, “Transport Layer Identification of P2P Traffic”, In Proceedings of the 4th ACM SIGCOMM conference on internet measurement 2004.
[13] L. Bernaille, R. Teixeira, I. Akodjenou, A. Soule, K. Salamatian, “Traffic Classification On The Fly”, ACM SIGCOMM Computer Communication Review 2006.

連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
系統版面圖檔 系統版面圖檔