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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 朱浩華 | |
| dc.contributor.author | Wei-Ju Chen | en |
| dc.contributor.author | 陳瑋儒 | zh_TW |
| dc.date.accessioned | 2021-06-16T22:57:05Z | - |
| dc.date.available | 2012-08-15 | |
| dc.date.copyright | 2012-08-15 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-08-09 | |
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Lane, R. A. Peterson, G.-S. Ahn and A. T. Campbell, 2010. BikeNet: A mobile sensing system for cyclist experience mapping. ACM Transactions on Sensor Networks. 6, 1, Article 6. [10] R. P. Evans, J. D. Blotter and A. Stephens, 2004. Flow rate measurements using flow-induced pipe vibration. Journal of Fluids Engineering, vol. 126, issue 2, 280-285. [11] J. Fogarty, C. Au and S. E. Hudson, 2006. Sensing from the basement: A feasibil-ity study of unobtrusive and low-cost home activity recognition. In Proceedings of the Annual ACM Symposium on User Interface Software and Technology (UIST’06). ACM, New York, NY, USA, 91-100. [12] J. Froehlich, E. Larson, T. Campbell, C. Haggerty, J. Fogarty and S. Patel, 2009. HydroSense: Infrastructure-mediated single-point sensing of whole-home water ac-tivity. In Proceedings of the International Conference on Ubiquitous Computing (UbiComp’09). ACM, New York, NY, USA, 235-244. [13] J. Froehlich, E. Larson, E., SABA, E., CAMPBELL, T., ATLAS, L., FOGARTY, J., PATEL, S. 2011. A longitudinal study of pressure sensing to infer real-world water usage events in the home. In Proceedings of the Ninth International Conference on Pervasive Computing (Pervasive’11). [14] INTERSEMA. 2010. MS5541C miniature 14 bar module. http://www.intersema.ch/products/documentation/datasheets/doc/43/raw/ [15] C. Jekeli, 2000. Inertial Navigation Systems with Geodetic Applications, Walter de Gruyter, 2000. [16] Y. Jin and A. Eydgahi, 2008. Monitoring of Distributed Pipeline System by Wire-less Sensor Networks. In Proceedings of The 2008 LAJC-IJME International Con-ference. [17] J. Kim, J. S. Lim, J. Friedman, U. Lee, L. Vieira, ROSSO, D., GERLA, M., AND SRIVASTAVA, M.B. 2009. SewerSnort: a drifting sensor for in-situ sewer gas monitoring. 2009. In Proceedings of Sixth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON’09), ACM, New York, NY, USA, 1-9. [18] Y. Kim, T. Schmid, Z. M. Charbiwala, J. Friedman and M. B. Srivastava, 2008. NAWMS: Non-intrusive autonomous water monitoring system. In Proceedings of the ACM Conference on Embedded Network Sensor Systems (SenSys’08), ACM, New York, NY, USA, 309-322. [19] T.-T., Lai, Y. H. Chen, P. Huang and H.-H. Chu, 2010. PipeProbe: a mobile sensor droplet for mapping hidden pipeline. In Proceedings of the ACM Conference on Embedded Network Sensor Systems (SenSys’10). ACM, New York, NY, USA, 113-126. [20] LISY300AL The STMicroelectronics LISY300AL gyroscope chip http://www.st.com/stonline/books/pdf/docs/14753.pdf. [21] NPS (Nominal Pipe Size). http://en.wikipedia.org/wiki/Nominal_Pipe_Size. [22] C. Park and P.H. Chou, 2006. Eco: Ultra-wearable and expandable wireless sensor platform. In Proceedings of the International Workshop on Body Sensor Networks (BSN’06). IEEE, 162-165. [23] D. B. Pervical and A.T. Walden, 2000. Wavelet Methods for Time Series Analysis. Cambridge University Press. [24] PPFA (Plastic Pipe and Fittings Association), Design Guide, Residential PEX Water Supply Plumbing Systems (2006), [25] A. Purohit, Z. Sun, F. Mokaya and P. Zhang, 2011. SensorFly: Controlled-mobile Sensing Platform for Indoor Emergency Response Applications. In Proceedings of the 11th International Conference on Information Processing in Sensor Networks (IPSN’11). [26] RADIODETECTION http://www.radiodetection.com [27] S. Srirangarajan, M. Allen, A. Preis, M. Iqbal, H.B. Lim, A. J. Whittle, 2010. Wa-ter main burst event detection and localization. In Proceedings of 12th Water Dis-tribution Systems Analysis Conference (WDSA’10). [28] I. Stoianov, L. Nachman, S. Madden and T. Tokmouline, 2007. PIPENET: A wireless sensor network for pipeline monitoring. In Proceedings of the 6th Interna-tional Conference on Information Processing in Sensor Networks (IPSN’07), ACM, New York, NY, USA, 264-273. [29] Z. Sun, P. Wang, M. C. Vuran, M. A. AL-Rodhaan, A. M. AL-Dhelaan and I.F. Akyildiz, 2011. MISE-PIPE: Magnetic induction-based wireless sensor networks for underground pipeline monitoring. Journal of Ad Hoc Networks, vol. 9, issue 3, 218-227. [30] C. Zhang, A. Syed, Y. Cho and J. Heidemann, 2011. Steam-powered sensing. In Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems (SenSys’11), ACM, New York, NY, USA, 204-217. [31] A. Krause, C. Guestrin, A. Gupta, and J. Kleinberg. Near-optimal Sensor Place-ments: Maximizing Information while Minimizing Communication Cost. In IPSN, 2006. [32] M. Laibowitz and J. A. Paradiso. Parasitic mobility for pervasive sensor networks. In Pervasive, 2005. [33] K. Dantu, B. Kate, J. Waterman, P. Bailis and M. Welsh. Programming Mi-cro-aerial vehicle swarms with Karma. In SenSys, 2011. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64664 | - |
| dc.description.abstract | 這篇論文研究要如何在水管中自動地佈建無線感測網路系統。這系統會需要(1)定位出隱藏在牆後的水管分布以及定位出感測器在水管中位置的能力。(2)感測器能附著在管壁上的能力。論文也將重點放在這兩項上面。
透過分析感測器在水管中流動時所收到的資料，能定位出各個水管的位置以及方向，同時能達到定位感測器在水管中的位置。而欲使感測器能於抵達監測點時停住，則需在各個感測器上安裝機械式可伸縮手臂。 | zh_TW |
| dc.description.abstract | This thesis presents an autonomous deployment system for mobile sensors in pipeline monitoring. To enable automatic deployment of mobile sensors in pipes, the system performs two functions: (1) the system first maps the 3D layout of hidden water pipe-lines, thus enables localization of any mobile sensor traveling and flowing in pipes; (2) when a mobile node reaches a target destination location, the node contains a mechani-cal latching mechanism to attach itself to the pipe’s inner surface to complete the node deployment process.
For the layout mapping and localization function, the system provides a non-destructive way to reveal the spatial topology of hidden water pipelines behind walls and track the location of mobile node. The mobile sensor enters the water pipeline from inlet. As the sensor node traverses the pipelines with the water flow, it gathers pressure, angular velocity and acceleration readings. Through spatio-temporal analysis of these sensor readings, the system can determine the layout of the pipeline and sensor location. For the node’s latching and de-latching mechanism, the system enables automated placement and replacement of sensor nodes inside the pipes with minimal human effort. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T22:57:05Z (GMT). No. of bitstreams: 1 ntu-101-R99922148-1.pdf: 1785717 bytes, checksum: 00ced02a93a6abeed8938599b0812fcb (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | ACKNOWLEDGEMENT I
ABSTRACT II CONTENTS III LIST OF FIGURES IV LIST OF TABLES VI CHAPTER 1: INTRODUCTION 1 CHAPTER 2: PIPELINE PROFILING 4 2.1 Vertical Movement 5 2.2 Horizontal Movement 6 CHAPTER 3: DATA COLLECTION 8 CHAPTER 4: DATA PROCESSING 12 4.1 Applying a Median Filter to Pressure Readings 13 4.2 Turn Detection 14 V-Turn Detection 17 H-Turn Detection 21 4.3 Layout Mapping 24 4.4 Ambiguity Elimination 27 CHAPTER 5: TESTBED 30 CHAPTER 6: EVALUATION of LOCALIZATION 33 6.1 Length Errors 34 6.2 Positional errors 37 6.3 Sampling Rate 39 6.4 Data Collection Trips 40 CHAPTER 7: DETECT VARIBLE-DIAMETER PIPES and 45-DEGREE BENDS 42 7.1 Variable-Diameter Pipes 42 7.2 Detecting 45-Degree Bends 49 Detecting 45-Degree Vertical Bends 50 Detecting 45-Degree Horizontal Bends 51 CHAPTER 8: LATCHING A MOBILE SENSOR NODE IN PIPELINE 55 CHAPTER 9: DISCUSSION AND LIMITATIONS 58 CHAPTER 10: RELATED WORK 61 CHAPTER 11: CONCLUSION & FUTURE WORK 65 REFERENCES 67 | |
| dc.language.iso | en | |
| dc.subject | 水管定位 | zh_TW |
| dc.subject | 無線感測網路 | zh_TW |
| dc.subject | 感測器定位 | zh_TW |
| dc.subject | Wireless Sensor Networks | en |
| dc.subject | Mapping Water Pipeline | en |
| dc.subject | Sensor Deployment | en |
| dc.subject | Sensor Inference | en |
| dc.subject | Constraint Satisfaction | en |
| dc.title | 於供水水管系統自動安裝感測器 | zh_TW |
| dc.title | Autonomous Sensor Deployment in Pipeline Monitoring | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 黃寶儀,金仲達,曾煜棋,陳伶志 | |
| dc.subject.keyword | 無線感測網路,水管定位,感測器定位, | zh_TW |
| dc.subject.keyword | Wireless Sensor Networks,Mapping Water Pipeline,Sensor Deployment,Sensor Inference,Constraint Satisfaction, | en |
| dc.relation.page | 71 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-08-10 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| Appears in Collections: | 資訊工程學系 | |
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| File | Size | Format | |
|---|---|---|---|
| ntu-101-1.pdf Restricted Access | 1.74 MB | Adobe PDF |
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