Towards substantiation of the conceptual model of the mines and other explosive objects in coastal shallow water areas detection system
DOI:
https://doi.org/10.36023/ujrs.2025.12.4.299Keywords:
humanitarian demining, explosive objects, water area, unmanned aerial vehicle, sonar, magnetometer, lidar systemAbstract
The paper is devoted to the substantiation of the conceptual model of the system for detecting mines and other explosive objects in coastal waters. The current existing technical solutions for searching for mines in water areas are analyzed. The structure of the system for detecting mines and other explosive objects in coastal waters is given. The structure of the system consists of the following main parts: a sensor unit, a navigation and data transmission unit, a data analysis and decision-making unit. The core of the system is a sensor unit, which includes a sonar, a lidar system, an aeromagnetometer and a device for optical imaging. A feature of the system is an adaptive approach to forming the working configuration, as well as the use of artificial intelligence elements for signal analysis and decision-making. The directions of use of the system are humanitarian demining, as well as solving the tasks of engineering and sapper support of landing operations in sea and river areas. Unmanned aerial vehicles have become indispensable tools for reconnaissance of mine-contaminated areas, increasing the safety, efficiency, and speed of detecting explosive objects, especially during and after armed conflicts. Further development of sensor technologies, AI analytics, and system integration will make this field even more effective in the future.
Author Contributions: Conceptualization — Popov M.O., Dugin S.S. and Yasko V.A.; methodology — Popov M.O., Yasko V.A.; investigation — Dugin S.S., Lyashenko A.S. and Makarenko Ye.O.; data curation — Lyashenko A.S. and Makarenko Ye.O.; writing—original draft preparation — Dugin S.S.; writing—review and editing — Popov M.O., Yasko V.A., Dugin S.S., Lyashenko A.S., Makarenko Ye.O. and Golubov S.I.; visualization — Golubov S.I. All authors have read and agreed to the published version of the manuscript.
Funding: This research received no external funding.
Data Availability Statement: Not applicable.
Acknowledgments: The authors express their sincere gratitude to the reviewers and editors for their valuable comments, recommendations, and attention to the work.
Conflicts of Interest: The authors declare no conflict of interest.
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