Smart water network management with in-pipe leak detection robots
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2019
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/122119 |
| _version_ | 1826194383406366720 |
|---|---|
| author | Mittmann, Elizabeth(Elizabeth R.) |
| author2 | Kamal Youcef-Toumi. |
| author_facet | Kamal Youcef-Toumi. Mittmann, Elizabeth(Elizabeth R.) |
| author_sort | Mittmann, Elizabeth(Elizabeth R.) |
| collection | MIT |
| description | Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 |
| first_indexed | 2024-09-23T09:55:16Z |
| format | Thesis |
| id | mit-1721.1/122119 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T09:55:16Z |
| publishDate | 2019 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1221192019-11-22T03:34:54Z Smart water network management with in-pipe leak detection robots Mittmann, Elizabeth(Elizabeth R.) Kamal Youcef-Toumi. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (pages 85-87). In this thesis, I created methods and designs to implement smarter, more autonomous water distribution networks (WDNs) and also improved the robots which will travel within the WDN's pipes to better differentiate pipe leaks from bumps in the pipes. Starting from the unit of the in-pipe leak detection robot, I investigated ways to make its soft leak sensors able to differentiate between pulling (due to leaks) and bending (due to bumps), and showed how a new design of adding fabric to the soft sensor allows the sensors to differentiate bending from pulling. Zooming out to the larger picture I looked at feasible ways these robots could be used throughout a cities' WDN, and created cost analyzes to compare futuristic methods of WDN management with current methods of district metered areas (DMAs). However, going from our current state of minimally instrumented pipes, to pipes with many valves to direct in-pipe inspection robots is a big leap, and thus I also created a method to help evaluate the cost trade-off of valve placement and the optimal spots for adding valves in the case where it was ideal to place valves on only some of the intersections of the WDN.. by Elizabeth Mittmann. S.M. S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering 2019-09-16T20:58:59Z 2019-09-16T20:58:59Z 2019 2019 Thesis https://hdl.handle.net/1721.1/122119 1119389479 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 87 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering. Mittmann, Elizabeth(Elizabeth R.) Smart water network management with in-pipe leak detection robots |
| title | Smart water network management with in-pipe leak detection robots |
| title_full | Smart water network management with in-pipe leak detection robots |
| title_fullStr | Smart water network management with in-pipe leak detection robots |
| title_full_unstemmed | Smart water network management with in-pipe leak detection robots |
| title_short | Smart water network management with in-pipe leak detection robots |
| title_sort | smart water network management with in pipe leak detection robots |
| topic | Mechanical Engineering. |
| url | https://hdl.handle.net/1721.1/122119 |
| work_keys_str_mv | AT mittmannelizabethelizabethr smartwaternetworkmanagementwithinpipeleakdetectionrobots |