Development of a Conceptual Model for the Information and Control System of an Autonomous Underwater Vehicle for Solving Problems in the Mineral and Raw Materials Complex DOI Creative Commons

Dmitry Pervukhin,

Dmitry Kotov, Vyacheslav E. Trushnikov

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 5916 - 5916

Published: Nov. 25, 2024

This study presents the development of a conceptual model for an autonomous underwater vehicle (AUV) information and control system (ICS) tailored mineral raw materials complex (MRMC). To address challenges exploration, such as harsh conditions, high costs, personnel risks, comprehensive was designed. built using correlation analysis expert evaluations to identify critical parameters affecting AUV efficiency reliability. Key elements, including pressure resistance, communication stability, energy efficiency, maneuverability, were prioritized. The results indicate that enhancing these elements can significantly improve performance in deep-sea environments. proposed optimizes ICS, providing foundation designing advanced AUVs capable efficiently executing tasks. By integrating innovations, aims boost operational productivity, ensure safety, open new avenues resource exploration. study’s findings highlight importance focusing on developing effective reliable solutions, thus addressing pressing needs MRMC while promoting sustainable management.

Language: Английский

Development of a Conceptual Model for the Information and Control System of an Autonomous Underwater Vehicle for Solving Problems in the Mineral and Raw Materials Complex DOI Creative Commons

Dmitry Pervukhin,

Dmitry Kotov, Vyacheslav E. Trushnikov

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 5916 - 5916

Published: Nov. 25, 2024

This study presents the development of a conceptual model for an autonomous underwater vehicle (AUV) information and control system (ICS) tailored mineral raw materials complex (MRMC). To address challenges exploration, such as harsh conditions, high costs, personnel risks, comprehensive was designed. built using correlation analysis expert evaluations to identify critical parameters affecting AUV efficiency reliability. Key elements, including pressure resistance, communication stability, energy efficiency, maneuverability, were prioritized. The results indicate that enhancing these elements can significantly improve performance in deep-sea environments. proposed optimizes ICS, providing foundation designing advanced AUVs capable efficiently executing tasks. By integrating innovations, aims boost operational productivity, ensure safety, open new avenues resource exploration. study’s findings highlight importance focusing on developing effective reliable solutions, thus addressing pressing needs MRMC while promoting sustainable management.

Language: Английский

Citations

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