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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 江昭皚(Joe-Air Jiang) | |
dc.contributor.author | Yu-Kai Huang | en |
dc.contributor.author | 黃昱剴 | zh_TW |
dc.date.accessioned | 2021-06-16T05:12:42Z | - |
dc.date.available | 2019-08-25 | |
dc.date.copyright | 2014-08-25 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-08-18 | |
dc.identifier.citation | 江昭皚。2010。無線感測器網路技術對於農業資訊化之影響。國際農業科技新知46: 3-8。
李俊賢。2006。無線感測器網路與ZigBee協定簡介。電信國家型計劃專刊。77: 5-10。 盧續承。2011。植基於無線感測器網路技術之都市空氣品質監測系統開發。碩士論文。臺北:國立臺灣大學生物產業機電工程學系。 梁瑜庭。2013。輸電線安全性即時遙測系統與動態熱容量預測模型之研究。碩士論文。臺北:國立臺灣大學生物產業機電工程學系。 賴彥任、邱祈榮、魏聰輝、沈介文、林清儒。2007。無線感測網路技術進行森林氣溫與相對濕度觀測之先驅實驗。大氣科學 53(2): 120-132。 行政院研究發展考核委員會。2000。從七二九與九二一停電事件分析我國電力系統之安全策略。台北:行政院研究發展考核委員會。 臺灣經濟部能源局。2003。美加大停電事件始末整輯。網址:http://energymonthly.tier.org.tw/outdatecontent.asp?ReportIssue=200310&Page=5。上網日期:2014-6-20。 慕雲五。2007。ABB的歷史,《財經界•管理學家》。北京:《財經界•管理學家》雜誌社。 Bishop-Hurley, G. J., D. L. Swain, D. M. Anderson, P. Sikka, C. Crossman, and P. Corke. 2007. Virtual fencing applications: Implementing and testing an automated cattle control system. Computers and Electronics in Agriculture. 56(1): 14-22. Chatterjea, S. and P. Havinga. 2009. Improving Temporal Coverage of an Energy-Efficient Data Extraction Algorithm for Environmental Monitoring Using Wireless Sensor Networks. Sensors. 9(6): 4941-4954. Culler, D., D. Estrin, and M. Srivastava. 2004. Overview of Sensor Networks. IEEE Computer Society. 37(8): 41-49. Hall, J. F. and A. K. Deb. 1988. Prediction of overhead transmission line ampacity by stochastic and deterministic models. IEEE Trans. Power Deliv. 3(2): 789–800. Heckenbergerova, J., P. Musilek, and K. Filimonenkov. 2011. Assessment of seasonal static thermal ratings of overhead transmission conductors. IEEE Power and Energy Society General Meeting. Hosek, J., P. Musilek, E. Lozowski, P. Pytlak. 2011. Effect of time resolution of meteorological inputs on dynamic thermal rating calculations. Generation, Transmission & Distribution, IET. 5(9):941-947. Huang, F., Z. Jiang, S. Zhang, and S. Gao. 2010. Reliability Evaluation of Wireless Sensor Networks Using Logistic Regression. Proc. International Conference on Communications and Mobile Computing (CMC), pp. 334-338. Ji, S., Q. Pei, Y. Zeng, C. Yang, and S. Bu. 2011. An Automated Black-box Testing Approach for WSN Security Protocols. The 7th International Conference on Computational Intelligence and Security, pp. 693-697. Kahn, J. M., R. H. Katz, and K. S. J. Pister. 1999. Mobile networking for smart dust. Proc. of the ACM/IEEE International Conference on Mobile Computing and Networking, pp. 17-19. Lee, J. W., and J. J. Lee. 2012. Ant-Colony-Based Scheduling Algorithm for Energy-Efficient Coverage of WSN. Sensors Journal, IEEE 12(10):3036-3046. Li, J., M. Li, and L. Sun. 2007. A Low Power Consumption Implementation for WSN Nodes in Lumber Drying Kiln. Proc. International Conference on Mechatronics and Automation(ICMA), pp. 911-916. Neil P. Schmidt. 1999. Comparison between I.E.E.E. and CIGRE ampacity standards. IEEE Trans. Power Deliv. 14(4): 1555–1559. Olsen, R. G., and K. S. Edwards. 2002. A new method for real-time monitoring of high-voltage transmission-line conductor sag. IEEE Trans. Power Deliv. 17(4): 1142-1152. Romer, K. and F. Mattern. 2004. The Design Space of Wireless Sensor Networks. IEEE Wireless Communications. 11(6): 54-61. Zhang, P., M. Shao, A. R. Leoni, D. H. Ramsay, and M. Graham. 2008. Determination of static thermal conductor rating using statistical analysis method. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, DRPT 2008. IEEE std 738-2006 (Revision of IEEE Std 738-1993). 2007. Standard For Calculating The Current-Temperature of Bare Overhead Conductors. AttoPilot. Voltage and Current Sensor. Available at: https://cdn.sparkfun.com//assets/parts/5/4/1/2/10644-01.jpg. Accessed 16 March 2014. Accessed 23 October 2013. FUTEK Advanced Sensor Technology, Inc. 2012. In line tension/compression load cell. Available at: http://www.directindustry.com/prod/futek-advanced-sensor-technology-inc/in-line-tension-compression-load-cells-14287-573314.html. Accessed 8 October 2013. EDM International, Inc. Sagometer. 2012. Available at: http://www.edmlink.com/. Accessed 1 October 2012. Accessed 15 March 2014. Sumitomo Electric U.S.A., Inc. 2011. Fiber optic distributed sensors. Available at: http://www.sumitomoelectricusa.com. Accessed 1 October 2012. Underground Systems Inc. Power donut. 2011. Available at: http://www.usi-power.com/. Accessed 1 October 2012. Accessed 1 March 2014. Belgium: Melexis Semiconductors. 2011. MLX90614 Datasheet. Available at: http://www.australianrobotics.com.au/sites/default/files/SEN-09570-datasheet.pdf. Accessed at 2014-03-05. Accessed 1 April 2014. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/56001 | - |
dc.description.abstract | 近年來由於全球的輸電設備一旦遭逢意外事故包含天然環境災害、人為破壞等等都會對全國的供電造成很巨大的影響,因此,如何確保超高壓輸電線和電塔設備的安全問題為現今一個非常重要的議題。傳統的監測方式大多採用人力巡查的方式,此種方式較沒效率且無法即時的反應超高壓輸電線路與電塔之情況。
為了改善上述之情形,必須使用新的監測方式來確保超高壓輸電線即時的穩定性和安全性。本研究開發一自主式供電之無線感測系統應用於超高壓輸電線之安全監測上,同時結合遠距廣域傳輸技術,達到遠距離即時監測之目的。監測目標可分為輸電線路參數監測與電塔端安全參數監測兩大項目,輸電線路上的參數監測項目包含:輸電線導體溫度、環境溫濕度、環境照度、輸電線通過之電壓和電流、線路垂降程度及線路振動程度;而電塔則結合氣象模組用以監測當地氣候的變化,以溫溼度、風速、方向、雨量為主,同時為了預防電塔滑移或倒塌等事故,亦使用三軸加速度感測器監測電塔之振動與傾斜情形。 本研究另一主要目標為使用一角度-垂降之關係方程式來直接估算超高壓輸電線垂降程度並判斷輸電線之安全性,此方法之準確性藉由與不同長度與張力之輸電線實際測量資料比較可發現垂降誤差皆在10 cm以下。由於輸電線垂降程度與輸電線張力、輸電線熱容量、淨空高度有關,因此可藉由準確的垂降量測結果來評估輸電線機械狀態而不需要耗費額外的成本。此外,由於每個電塔建置的地形不盡相同,本研究提出一套垂降測距估算演算法(Sag-Clearance Estimated Algorithm)來計算每條輸電線實際上與地表障礙物最有可能發生接觸意外的位置。 | zh_TW |
dc.description.abstract | In recent years, the power transmission equipment around the world has suffered from severe accidents such as natural environmental disasters and vandalism, which cause a huge impact on the power supply of the whole country. Therefore, it is very important to ensure the safety of EHV (extra high voltage) transmission lines and electrical tower-related equipment. Traditional ways to monitor EHV transmission lines are to use human inspections, which are not efficient and cannot response to the events that occur on EHV transmission lines and electrical towers in real time.
In order to improve the aforementioned problem, it is necessary to develop new monitoring technologies to ensure the stability and security of EHV transmission lines in real time. In this research an autonomous power wireless sensing system used to monitor EHV transmission lines is proposed. This system combines with the long-distance WAN transmission technology to achieve the purpose of remote real-time monitoring. The monitoring objectives can be divided into two parts: for the EHV transmission lines and for the towers. For transmission lines, the monitored parameters include the voltage and current of transmission lines, conductor temperature, ambient temperature and humidity, ambient illumination, vibration levels and sag. Each power tower is equipped with a meteorological module which measures temperature and humidity, wind speed and direction, and rainfall mainly to monitor local climate change. Additionally, in order to prevent electrical tower sliding or collapsing, a triaxial accelerometer is used to monitor the vibration tilt in the electrical tower. Another main objective of this study is to use an angle-sag relationship equation to directly estimate the sag of the EHV transmission lines. Different lengths and tension of transmission lines are tested to examine the accuracy of the proposed method. The research result shows that the sag errors are less than 10 cm. Because the degree of the sag of transmission lines is directly related to the tension of transmission lines, heat capacity, and head-room clearance, the sag can be evaluated without attaching extra costs. In addition, since the terrain where each electrical tower locates varies, this study proposes a sag-clearance estimated algorithm to calculate the relationship between each power line and ground obstructions to detect the critical location of the transmission line where the line is most likely to contact the obstacle. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T05:12:42Z (GMT). No. of bitstreams: 1 ntu-103-R01631005-1.pdf: 2948358 bytes, checksum: 658dad128455e417a55061a46788f87f (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 誌謝 i
摘要 iii Abstract iv 目錄 vi 圖目錄 viii 表目錄 x 第一章 前言 1 1.1 研究背景 1 1.2 研究動機及目的 3 1.3 論文架構 3 第二章 文獻探討 5 2.1 超高壓輸電網 6 2.1.1 超高壓輸電線之重要性和安全性 7 2.1.2 超高壓輸電線安全監測技術回顧 9 第三章 無線感測器網路架構 14 3.1無線感測器節點硬體設計 15 3.2無線感測器網路通訊協定種類 17 第四章 超高壓輸電網安全性監測系統 20 4.1超高壓輸電網監測系統架構 20 4.2系統組成單元介紹與運作流程 21 4.2.1元件介紹 21 4.2.2電力來源設計 31 4.2.3輸電線路監測系統 33 4.2.4閘道器端與其無線通訊設備 35 4.3垂降程度評估方法 39 第五章 實驗結果與討論 43 5.1 感測器校正 43 5.2 垂降程度分析 46 第六章 未來工作 50 參考文獻 51 | |
dc.language.iso | zh-TW | |
dc.title | 線上無線感測系統應用於輸電線垂降之研究 | zh_TW |
dc.title | An On-Line WSN-based Monitoring System for Transmission Line Sag of Power Grid | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 俞齊山(Chi-Shan Yu),曾傳蘆(Chwan-Lu Tseng),顏炳郎(Ping-Lang Yen) | |
dc.subject.keyword | 無線感測器網路,垂降估算,超高壓輸電線,測距演算法, | zh_TW |
dc.subject.keyword | wireless sensor network,sag,extra high voltage transmission lines,distance measurement algorithm, | en |
dc.relation.page | 54 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2014-08-19 | |
dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
dc.contributor.author-dept | 生物產業機電工程學研究所 | zh_TW |
顯示於系所單位: | 生物機電工程學系 |
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