Optimal Management of Marine Inspection with Autonomous Underwater Vehicles
t New technologies and system communications are being applied in the industry, improving the efficiency and effectiveness. This paper is focused on novel technologies, software and materials that allow to explore deep ocean floor. Autonomous underwater vehicles require planning navigation models an...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad de Castilla-La Mancha |
| Repositorio: | RUIdeRA. Repositorio Institucional de la UCLM |
| OAI Identifier: | oai:ruidera.uclm.es:10578/21498 |
| Acceso en línea: | https://doi.org/10.1007/978-3-030-21248-3_57 http://hdl.handle.net/10578/21498 |
| Access Level: | acceso abierto |
| Palabra clave: | Autonomous underwater vehicle Optimization Route Navigation Management Sensors Condition monitoring system |
| Sumario: | t New technologies and system communications are being applied in the industry, improving the efficiency and effectiveness. This paper is focused on novel technologies, software and materials that allow to explore deep ocean floor. Autonomous underwater vehicles require planning navigation models and algorithms. Sensors equipped in underwater vehicles allow to inspect and analyse inaccessible areas. Monitor and control measurement process is required to ensure suitable underwater operations. This paper presents a model using the main inspection process variables. The model calculates the field of view of the autonomous underwater vehicle to be determined according to the type of sensor, the orientation and the distance from the floor. This study aims at stabilising the fundaments to develop an autonomous route for the autonomous underwater vehicles and optimize its operation performance. |
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