Modeling and Inspection Applications of a Coastal Distributed Autonomous Sensor Network
Real time in-situ measurements are essential for monitoring and understanding physical and biochemical changes within ocean environments. Phenomena of interest usually display spatial and temporal dynamics that span different scales. As a result, a combination of different vehicles, sensors, and adv...
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ftmit:oai:dspace.mit.edu:1721.1/120982 2023-06-11T04:07:34+02:00 Modeling and Inspection Applications of a Coastal Distributed Autonomous Sensor Network Weymouth, Gabriel Kurniawati, Hanna Valdivia y Alvarado, Pablo Taher, Tawfiq Khan, Rubaina Patrikalakis, Nicholas M Leighton, Joshua C Papadopoulos, Georgios Massachusetts Institute of Technology. Department of Mechanical Engineering Patrikalakis, Nicholas M Leighton, Joshua C Papadopoulos, Georgios 2018-12-14T18:11:14Z application/pdf http://hdl.handle.net/1721.1/120982 unknown ASME International http://dx.doi.org/10.1115/OMAE2012-83812 ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering: Volume 5: Ocean Engineering; CFD and VIV 978-0-7918-4492-2 http://hdl.handle.net/1721.1/120982 Patrikalakis, Nicholas M., Joshua Leighton, Georgios Papadopoulos, Gabriel Weymouth, Hanna Kurniawati, Pablo Valdivia y Alvarado, Tawfiq Taher, and Rubaina Khan. “Modeling and Inspection Applications of a Coastal Distributed Autonomous Sensor Network.” ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering: Volume 5: Ocean Engineering; CFD and VIV, 1-6 July 1, 2012, Rio de Janeiro, Brazil, ASME, 2012. © 2012 by ASME orcid:0000-0003-3842-5162 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. ASME Article http://purl.org/eprint/type/ConferencePaper 2018 ftmit https://doi.org/10.1115/OMAE2012-83812 2023-05-29T08:31:30Z Real time in-situ measurements are essential for monitoring and understanding physical and biochemical changes within ocean environments. Phenomena of interest usually display spatial and temporal dynamics that span different scales. As a result, a combination of different vehicles, sensors, and advanced control algorithms are required in oceanographic monitoring systems. In this study our group presents the design of a distributed heterogeneous autonomous sensor network that combines underwater, surface, and aerial robotic vehicles along with advanced sensor payloads, planning algorithms and learning principles to successfully operate across the scales and constraints found in coastal environments. Examples where the robotic sensor network is used to localize algal blooms and collect modeling data in the coastal regions of the island nation of Singapore and to construct 3D models of marine structures for inspection and harbor navigation are presented. The system was successfully tested in seawater environments around Singapore where the water current is around 1-2m/s. Topics: Inspection , Modeling , Sensor networks , Shorelines Singapore. National Research Foundation (Singapore-MIT Alliance for Research and Technology (SMART)) Article in Journal/Newspaper Arctic DSpace@MIT (Massachusetts Institute of Technology) Volume 5: Ocean Engineering; CFD and VIV 319 325 |
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DSpace@MIT (Massachusetts Institute of Technology) |
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ftmit |
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unknown |
description |
Real time in-situ measurements are essential for monitoring and understanding physical and biochemical changes within ocean environments. Phenomena of interest usually display spatial and temporal dynamics that span different scales. As a result, a combination of different vehicles, sensors, and advanced control algorithms are required in oceanographic monitoring systems. In this study our group presents the design of a distributed heterogeneous autonomous sensor network that combines underwater, surface, and aerial robotic vehicles along with advanced sensor payloads, planning algorithms and learning principles to successfully operate across the scales and constraints found in coastal environments. Examples where the robotic sensor network is used to localize algal blooms and collect modeling data in the coastal regions of the island nation of Singapore and to construct 3D models of marine structures for inspection and harbor navigation are presented. The system was successfully tested in seawater environments around Singapore where the water current is around 1-2m/s. Topics: Inspection , Modeling , Sensor networks , Shorelines Singapore. National Research Foundation (Singapore-MIT Alliance for Research and Technology (SMART)) |
author2 |
Massachusetts Institute of Technology. Department of Mechanical Engineering Patrikalakis, Nicholas M Leighton, Joshua C Papadopoulos, Georgios |
format |
Article in Journal/Newspaper |
author |
Weymouth, Gabriel Kurniawati, Hanna Valdivia y Alvarado, Pablo Taher, Tawfiq Khan, Rubaina Patrikalakis, Nicholas M Leighton, Joshua C Papadopoulos, Georgios |
spellingShingle |
Weymouth, Gabriel Kurniawati, Hanna Valdivia y Alvarado, Pablo Taher, Tawfiq Khan, Rubaina Patrikalakis, Nicholas M Leighton, Joshua C Papadopoulos, Georgios Modeling and Inspection Applications of a Coastal Distributed Autonomous Sensor Network |
author_facet |
Weymouth, Gabriel Kurniawati, Hanna Valdivia y Alvarado, Pablo Taher, Tawfiq Khan, Rubaina Patrikalakis, Nicholas M Leighton, Joshua C Papadopoulos, Georgios |
author_sort |
Weymouth, Gabriel |
title |
Modeling and Inspection Applications of a Coastal Distributed Autonomous Sensor Network |
title_short |
Modeling and Inspection Applications of a Coastal Distributed Autonomous Sensor Network |
title_full |
Modeling and Inspection Applications of a Coastal Distributed Autonomous Sensor Network |
title_fullStr |
Modeling and Inspection Applications of a Coastal Distributed Autonomous Sensor Network |
title_full_unstemmed |
Modeling and Inspection Applications of a Coastal Distributed Autonomous Sensor Network |
title_sort |
modeling and inspection applications of a coastal distributed autonomous sensor network |
publisher |
ASME International |
publishDate |
2018 |
url |
http://hdl.handle.net/1721.1/120982 |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
ASME |
op_relation |
http://dx.doi.org/10.1115/OMAE2012-83812 ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering: Volume 5: Ocean Engineering; CFD and VIV 978-0-7918-4492-2 http://hdl.handle.net/1721.1/120982 Patrikalakis, Nicholas M., Joshua Leighton, Georgios Papadopoulos, Gabriel Weymouth, Hanna Kurniawati, Pablo Valdivia y Alvarado, Tawfiq Taher, and Rubaina Khan. “Modeling and Inspection Applications of a Coastal Distributed Autonomous Sensor Network.” ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering: Volume 5: Ocean Engineering; CFD and VIV, 1-6 July 1, 2012, Rio de Janeiro, Brazil, ASME, 2012. © 2012 by ASME orcid:0000-0003-3842-5162 |
op_rights |
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. |
op_doi |
https://doi.org/10.1115/OMAE2012-83812 |
container_title |
Volume 5: Ocean Engineering; CFD and VIV |
container_start_page |
319 |
op_container_end_page |
325 |
_version_ |
1768380755005669376 |