Development and Operation of Underwater Robot for Autonomous Tracking and Monitoring of Subsea Plumes After Oil Spill and Gas Leak from Seabed and Analyses of Measured Data

Choyekh, Mahdi; Kato, Nobuo; Yamaguchi, Yasuaki; Dewantara, Ryan; Chiba, Hayato; Senga, Hidetaka; Yoshie, Muneo; Tanaka, Toshinari; Kobayashi, Eiichi; Short, Timothy

doi:10.1007/978-4-431-55991-7_3

Cited by 5 publications

(5 citation statements)

References 22 publications

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“…e use of CTD sensors allows water measurement of temperature, conductivity, and pressure. El Dorado AUV has a CTD sensor [38], which, like the SOTAB-I robot, is attached to its frame, with a sampling frequency of up to 16 Hz enabling a high spatial resolution, with a consumption of 3.4 W [39].…”

Section: Measurement Of Oceanographic Variablesmentioning

confidence: 99%

See 1 more Smart Citation

Review on Unmanned Underwater Robotics, Structure Designs, Materials, Sensors, Actuators, and Navigation Control

Neira¹,

Sequeiros²,

Huamani³

et al. 2021

Journal of Robotics

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Since its beginning, around the 50s decade, until present days, the area of unmanned underwater vehicles (UUV) has considerably grown through time; those have been used for many tasks and applications, from bomb searching and recovery to sea exploration. Initially, these robots were used mainly for military and scientific purposes. However, nowadays, they are very much extended into civils, and it is not hard to find them being used for recreation. In this context, the present research is an effort to make a walkthrough of evolution in this area, showing a diversity of structure designs, used materials, sensor and instrumentation technologies, kinds and the number of actuators employed, navigation control techniques, and what is new in development trends. The paper gives a clear starting point for those who are initializing into this research area; also, it brings some helpful knowledge for those who already have experience.

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Section: Measurement Of Oceanographic Variablesmentioning

confidence: 99%

“…e use is described by Choyekh Mahdi, indicating that the tracking of the SOTAB-I robot on the sea surface is ensured by a global positioning system (GPS) receiver that serves to determine the absolute position of the robot. In the case where the robot is submerged, the Ultrashort Baseline (USBL) system ensures tracking [39].…”

Section: Navigation Instrumentsmentioning

confidence: 99%

Review on Unmanned Underwater Robotics, Structure Designs, Materials, Sensors, Actuators, and Navigation Control

Neira¹,

Sequeiros²,

Huamani³

et al. 2021

Journal of Robotics

View full text Add to dashboard Cite

show abstract

“…Most works on oil spills detection use either UUVs [107,134], since they try to find the underwater location of the oil spill, or UAVs [135] since it is easier to estimate the amount of oil on the surface. Liu et al [105] affirm that in areas where oil spills frequently occur, such as coastal ports and oil drilling platform surroundings, the use of USV is seemingly more convenient when compared to traditional airborne and shipborne laser fluorosensors.…”

Section: Use Of Usvs In Environmental Disasters With Contaminantsmentioning

confidence: 99%

A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

Jorge

Granada

Maidana

et al. 2019

Sensors

126

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Disaster robotics has become a research area in its own right, with several reported cases of successful robot deployment in actual disaster scenarios. Most of these disaster deployments use aerial, ground, or underwater robotic platforms. However, the research involving autonomous boats or Unmanned Surface Vehicles (USVs) for Disaster Management (DM) is currently spread across several publications, with varying degrees of depth, and focusing on more than one unmanned vehicle—usually under the umbrella of Unmanned Marine Vessels (UMV). Therefore, the current importance of USVs for the DM process in its different phases is not clear. This paper presents the first comprehensive survey about the applications and roles of USVs for DM, as far as we know. This work demonstrates that there are few current deployments in disaster scenarios, with most of the research in the area focusing on the technological aspects of USV hardware and software, such as Guidance Navigation and Control, and not focusing on their actual importance for DM. Finally, to guide future research, this paper also summarizes our own contributions, the lessons learned, guidelines, and research gaps.

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“…Although this method is limited to subsea light conditions and water turbidity, its monitoring effect can be advanced by equipping it with an additional light source [14,20] or applying other methods, such as the laminar flow approach [25,26] and the infrared output camera [27]. In this way, this method is always applied for subsea monitoring tasks such as spilled oil and gas tracking using the autonomous buoy system (SOTAB-I) [28,29], the submarine visual information system [30,31], and the released gas plume and bubble imaging system [32,33]. In this monitoring application, the operator's visual inspection and judgment of monitoring video frames is still a critical prerequisite for finding and warning of abnormal subsea events.…”

Section: Introductionmentioning

confidence: 99%

Advanced Computer Vision-Based Subsea Gas Leaks Monitoring: A Comparison of Two Approaches

Zhu

Xie

et al. 2023

Sensors

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Recent years have witnessed the increasing risk of subsea gas leaks with the development of offshore gas exploration, which poses a potential threat to human life, corporate assets, and the environment. The optical imaging-based monitoring approach has become widespread in the field of monitoring underwater gas leakage, but the shortcomings of huge labor costs and severe false alarms exist due to related operators’ operation and judgment. This study aimed to develop an advanced computer vision-based monitoring approach to achieve automatic and real-time monitoring of underwater gas leaks. A comparison analysis between the Faster Region Convolutional Neural Network (Faster R-CNN) and You Only Look Once version 4 (YOLOv4) was conducted. The results demonstrated that the Faster R-CNN model, developed with an image size of 1280 × 720 and no noise, was optimal for the automatic and real-time monitoring of underwater gas leakage. This optimal model could accurately classify small and large-shape leakage gas plumes from real-world datasets, and locate the area of these underwater gas plumes.

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Development and Operation of Underwater Robot for Autonomous Tracking and Monitoring of Subsea Plumes After Oil Spill and Gas Leak from Seabed and Analyses of Measured Data

Abstract: Development and operation of underwater robot for autonomous tracking and monitoring of subsea plumes after oil spill and gas leak from seabed, and analyses of measured data Author(s) Choyekh, Mahdi

Cited by 5 publications

References 22 publications

Review on Unmanned Underwater Robotics, Structure Designs, Materials, Sensors, Actuators, and Navigation Control

Review on Unmanned Underwater Robotics, Structure Designs, Materials, Sensors, Actuators, and Navigation Control

A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

Advanced Computer Vision-Based Subsea Gas Leaks Monitoring: A Comparison of Two Approaches

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