Design and Construction of an ROV for Underwater Exploration
The design of a remotely operated vehicle (ROV) with a size of 18.41 cm × 29.50 cm × 33.50 cm, and a weight of 15.64 kg, is introduced herein. The main goal is to capture underwater video by remote control communication in real time via Ethernet protocol. The ROV moves under the six brushless motors...
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| Published in | Sensors (Basel, Switzerland) Vol. 19; no. 24; p. 5387 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
MDPI AG
06.12.2019
MDPI |
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| Online Access | Get full text |
| ISSN | 1424-8220 1424-8220 |
| DOI | 10.3390/s19245387 |
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| Abstract | The design of a remotely operated vehicle (ROV) with a size of 18.41 cm × 29.50 cm × 33.50 cm, and a weight of 15.64 kg, is introduced herein. The main goal is to capture underwater video by remote control communication in real time via Ethernet protocol. The ROV moves under the six brushless motors governed through a smart PID controller (Proportional + Integral + Derivative) and by using pulse-wide modulation with short pulses of 1 μs to improve the stability of the position in relation to the translational, ascent or descent, and rotational movements on three axes to capture images of 800 × 640 pixels on a video graphic array standard. The motion control, 3D position, temperature sensing, and video capture are performed at the same time, exploiting the four cores of the Raspberry Pi 3, using the threading library for parallel computing. In such a way, experimental results show that the video capture stage can process up to 42 frames per second on a Raspberry Pi 3. The remote control of the ROV is executed under a graphical user interface developed in Python, which is suitable for different operating systems, such as GNU/Linux, Windows, Android, and OS X. The proposed ROV can reach up to 100 m underwater, thus solving the issue of divers who can only reach 30 m depth. In addition, the proposed ROV can be useful in underwater applications such as surveillance, operations, maintenance, and measurement. |
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| AbstractList | The design of a remotely operated vehicle (ROV) with a size of 18.41 cm × 29.50 cm × 33.50 cm, and a weight of 15.64 kg, is introduced herein. The main goal is to capture underwater video by remote control communication in real time via Ethernet protocol. The ROV moves under the six brushless motors governed through a smart PID controller (Proportional + Integral + Derivative) and by using pulse-wide modulation with short pulses of 1 μs to improve the stability of the position in relation to the translational, ascent or descent, and rotational movements on three axes to capture images of 800 × 640 pixels on a video graphic array standard. The motion control, 3D position, temperature sensing, and video capture are performed at the same time, exploiting the four cores of the Raspberry Pi 3, using the threading library for parallel computing. In such a way, experimental results show that the video capture stage can process up to 42 frames per second on a Raspberry Pi 3. The remote control of the ROV is executed under a graphical user interface developed in Python, which is suitable for different operating systems, such as GNU/Linux, Windows, Android, and OS X. The proposed ROV can reach up to 100 m underwater, thus solving the issue of divers who can only reach 30 m depth. In addition, the proposed ROV can be useful in underwater applications such as surveillance, operations, maintenance, and measurement. The design of a remotely operated vehicle (ROV) with a size of 18.41 cm × 29.50 cm × 33.50 cm, and a weight of 15.64 kg, is introduced herein. The main goal is to capture underwater video by remote control communication in real time via Ethernet protocol. The ROV moves under the six brushless motors governed through a smart PID controller (Proportional + Integral + Derivative) and by using pulse-wide modulation with short pulses of 1 μs to improve the stability of the position in relation to the translational, ascent or descent, and rotational movements on three axes to capture images of 800 × 640 pixels on a video graphic array standard. The motion control, 3D position, temperature sensing, and video capture are performed at the same time, exploiting the four cores of the Raspberry Pi 3, using the threading library for parallel computing. In such a way, experimental results show that the video capture stage can process up to 42 frames per second on a Raspberry Pi 3. The remote control of the ROV is executed under a graphical user interface developed in Python, which is suitable for different operating systems, such as GNU/Linux, Windows, Android, and OS X. The proposed ROV can reach up to 100 m underwater, thus solving the issue of divers who can only reach 30 m depth. In addition, the proposed ROV can be useful in underwater applications such as surveillance, operations, maintenance, and measurement.The design of a remotely operated vehicle (ROV) with a size of 18.41 cm × 29.50 cm × 33.50 cm, and a weight of 15.64 kg, is introduced herein. The main goal is to capture underwater video by remote control communication in real time via Ethernet protocol. The ROV moves under the six brushless motors governed through a smart PID controller (Proportional + Integral + Derivative) and by using pulse-wide modulation with short pulses of 1 μs to improve the stability of the position in relation to the translational, ascent or descent, and rotational movements on three axes to capture images of 800 × 640 pixels on a video graphic array standard. The motion control, 3D position, temperature sensing, and video capture are performed at the same time, exploiting the four cores of the Raspberry Pi 3, using the threading library for parallel computing. In such a way, experimental results show that the video capture stage can process up to 42 frames per second on a Raspberry Pi 3. The remote control of the ROV is executed under a graphical user interface developed in Python, which is suitable for different operating systems, such as GNU/Linux, Windows, Android, and OS X. The proposed ROV can reach up to 100 m underwater, thus solving the issue of divers who can only reach 30 m depth. In addition, the proposed ROV can be useful in underwater applications such as surveillance, operations, maintenance, and measurement. |
| Author | López-Bonilla, Oscar Roberto Olguín-Tiznado, Jesús Everardo Inzunza-González, Everardo Tlelo-Cuautle, Esteban García-Guerrero, Enrique Efrén Cárdenas-Valdez, José Ricardo Aguirre-Castro, Oscar Adrian |
| AuthorAffiliation | 1 UABC, Faculty of Engineering, Architecture and Design, Autonomous University of Baja California, Ensenada 22860, Baja California, Mexico; oscar.aguirre@uabc.edu.mx (O.A.A.-C.); eegarcia@uabc.edu.mx (E.E.G.-G.); olopez@uabc.edu.mx (O.R.L.-B.); jeol79@uabc.edu.mx (J.E.O.-T.) 3 ITT, Department of Electrical and Electronic Engineering, Tijuana Institute of Technology, Tijuana 22500, Baja California, Mexico; jose.cardenas@tectijuana.edu.mx 2 INAOE, Department of Electronics, Puebla 72840, Mexico; etlelo@inaoep.mx |
| AuthorAffiliation_xml | – name: 2 INAOE, Department of Electronics, Puebla 72840, Mexico; etlelo@inaoep.mx – name: 1 UABC, Faculty of Engineering, Architecture and Design, Autonomous University of Baja California, Ensenada 22860, Baja California, Mexico; oscar.aguirre@uabc.edu.mx (O.A.A.-C.); eegarcia@uabc.edu.mx (E.E.G.-G.); olopez@uabc.edu.mx (O.R.L.-B.); jeol79@uabc.edu.mx (J.E.O.-T.) – name: 3 ITT, Department of Electrical and Electronic Engineering, Tijuana Institute of Technology, Tijuana 22500, Baja California, Mexico; jose.cardenas@tectijuana.edu.mx |
| Author_xml | – sequence: 1 givenname: Oscar Adrian orcidid: 0000-0002-8000-2043 surname: Aguirre-Castro fullname: Aguirre-Castro, Oscar Adrian – sequence: 2 givenname: Everardo orcidid: 0000-0002-7994-9774 surname: Inzunza-González fullname: Inzunza-González, Everardo – sequence: 3 givenname: Enrique Efrén orcidid: 0000-0001-5052-6850 surname: García-Guerrero fullname: García-Guerrero, Enrique Efrén – sequence: 4 givenname: Esteban orcidid: 0000-0001-7187-4686 surname: Tlelo-Cuautle fullname: Tlelo-Cuautle, Esteban – sequence: 5 givenname: Oscar Roberto orcidid: 0000-0003-4635-2813 surname: López-Bonilla fullname: López-Bonilla, Oscar Roberto – sequence: 6 givenname: Jesús Everardo orcidid: 0000-0002-6205-0973 surname: Olguín-Tiznado fullname: Olguín-Tiznado, Jesús Everardo – sequence: 7 givenname: José Ricardo orcidid: 0000-0002-5437-8215 surname: Cárdenas-Valdez fullname: Cárdenas-Valdez, José Ricardo |
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| Keywords | vision underwater technology Raspberry Pi marine robotics video capture underwater exploration complementary filter ROV subsea inspection and intervention real time |
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| Snippet | The design of a remotely operated vehicle (ROV) with a size of 18.41 cm × 29.50 cm × 33.50 cm, and a weight of 15.64 kg, is introduced herein. The main goal is... |
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| StartPage | 5387 |
| SubjectTerms | Algorithms Autonomous underwater vehicles Communication Digital cameras Embedded systems Energy consumption Ethernet Information storage Personal computers Remote control Sensors |
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| Title | Design and Construction of an ROV for Underwater Exploration |
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