The U-shaped lifesaving boat is an innovative design that brings enhanced speed, precision, and safety to rescue operations in water. Its unique U-shape provides excellent stability and buoyancy, making it highly suitable for rescuing individuals in distress. One of the key features of this boat is its remote control capability, allowing the boat to be driven autonomously to the scene of an emergency. This remote-controlled functionality enables it to quickly reach a victim in distress, whether in calm waters or rough conditions, without requiring human intervention in the immediate vicinity.
Equipped with advanced navigation and guidance systems, the U-shaped boat can autonomously navigate through various water conditions. Its navigation system ensures that the boat can accurately locate the victim and reach them without getting caught in obstacles or dangerous areas. The boat’s precision handling is further enhanced by its ability to perform 360-degree rotations, making it highly maneuverable in tight spaces or challenging waters, such as rivers, lakes, or at sea. Once the boat reaches the victim, it can transport them to safety.
Introduction
Overview
The project introduces a remotely operated rescue boat and a lightweight smart lifebuoy, aimed at enhancing safety, speed, and effectiveness during water-related emergency operations. These innovations are particularly beneficial in flood-prone areas, maritime accidents, and remote or hazardous water zones.
Key Components and Technologies
????? Wireless-Controlled Rescue Boat
Remote Operation: Allows safe control of the boat without onboard personnel, reducing risk in dangerous conditions.
Sensors & Communication: Equipped with cameras, microphones, and data sensors to provide real-time feedback for informed decision-making.
AI & Autonomy Features:
Autonomous navigation
Autonomous return and recharge
Multi-boat coordination for large-scale rescue missions.
Applications:
Search-and-rescue missions
Delivery of medical supplies
Swift water rescues in fast-moving currents
Monitoring hazardous areas like oil spills or shipwrecks
???? Smart Lifebuoy System
Traditional vs Smart Lifebuoys:
Manual lifebuoys depend on physical strength and proximity.
Smart lifebuoys are remote-controlled, U-shaped, and can reach victims independently.
Challenges in Existing Smart Lifebuoys:
Often heavy and complex, making them less accessible for women, children, or elderly rescuers.
Proposed Innovation:
A lightweight remote-controlled smart lifebuoy developed using Arduino technology for easier deployment and broader usability.
Literature Survey Insights
Autonomous Underwater Vehicle (AUV): Integrated with GPS and telemetry for underwater data collection and surface navigation.
U-Shaped Lifelines: Improve grip and reduce the risk of slippage during water rescues.
Performance in Waves: Reinforced hull design and stability are critical for high-speed rescue boat operations in rough seas.
Double-Sided Driving: Enhances maneuverability, especially in confined or rapidly changing environments.
Results & Benefits
The wireless system minimizes human risk while maximizing operational precision.
The smart lifebuoy prototype proved more effective in range and deployment speed compared to manual lifebuoys.
These technologies enhance emergency preparedness and reduce response time, potentially increasing victim survival rates in critical scenarios.
Applications
Remote operation in hazardous zones (e.g., floods, rough seas)
Autonomous large-area search missions
Contactless medical or supply delivery
Live streaming and two-way communication
Autonomous docking and recharging
Fleet coordination for efficient large-scale rescues
Conclusion
Rescue boat plays a vital role in saving. Live& providing critical support during emergency Situation their design equipment & operation require carefully consideration to ensure effective & safe rescue operation. The wireless control system provides greater flexibility, enabling real-time monitoring, quick response times, and coordination with other rescue units. It also allows for precise navigation in complex environments, optimizing the boat’s maneuverability. Furthermore, advancements in wireless technology, such as improved communication protocols, have made these systems more reliable and robust, ensuring that the boat can continue operations even in challenging conditions.
However, there are still challenges to address, such as ensuring the security of wireless signals, preventing interference, and improving battery life for longer rescue operations. Despite these challenges, the integration of wireless control systems into rescue boats marks a promising future for search-and-rescue operations, making them safer, faster, and more effective.
In conclusion, the Rescue boat by using remote control system. it is sustainable and eco-friendly. Watercraft. It work on remote Control System. It does not impact on the environment and remote controller. This innovative watercraft is works on sensor and remote control system.
Despite these challenges, the future of wireless-controlled rescue boats is promising. They are not only safer, faster, and more effective but also sustainable and eco-friendly. These boats, powered by sensors and remote control systems, do not harm the environment and operate efficiently, marking a significant step forward in rescue technology and contributing to more effective and environmentally responsible search-and-rescue operation.
References
[1] Masmitja, G. Masmitja, J. González, S. Shariat-Panahi, and S. Gomariz, “Development of a control system for an autonomous underwater vehicle,” 2010 IEEE/OES Auton. Underw. Veh. AUV 2010, no. May 2014, 2010, doi: 10.1109/AUV.2010.5779647.
[2] M. H. Ghaniet al., “The sailBuoy remotely-controlled unmanned vessel: Measurements of near surface temperature, salinity and oxygen concentration in the northern gulf of mexico,” Methods Oceanogr., vol. 10, no. September, pp. 104–121, 2014, doi: 10.1016/j.mio.2014.08.001.
[3] S. Thanakodiet al., “A study into the development of a light weight smart life buoy prototype (LWSLB),” Trans. Marit. Sci., vol. 10, no. 2, pp. 383–389, 2021, doi: 10.7225/toms.v10.n02.008.
[4] N. B. Shetty, N. Rao, P. Umesh, and K. V. Gangadharan, “Remotely operated marine rescue vehicle,” AIP Conf. Proc., vol. 2247, no. July, 2020, doi: 10.1063/5.0004147.
[5] S. Kathole, T. Galphade, S. Sonavane, and S. Patne, “Design, Analysis and Fabrication of Remote-Controlled Life Saving Buoy,” Int. Res. J. Mod. Eng. Technol. Sci., no. 08, pp. 2582–5208, 2021, [Online]. Available: www.irjmets.com.
[6] U. Ismat, M. Nasri, K. Ali, D. Rifai, A. N. Abdalla, and M. A. Faraj, “Design of Adaptive RFID on IoT Platform with Passive Tag Based on Laboratory Management System ( LMS ),” vol. 4, no. 2, pp. 105–118, 2023.
[7] N. Tabish and T. Chaur-Luh, “Maritime Autonomous Surface Ships: A Review of Cybersecurity Challenges, Countermeasures, and Future Perspectives,” IEEE Access, vol. 12, no. January, 2024, doi: 10.1109/ACCESS.2024.3357082.
[8] G. G. Giesbrecht and G. K. McDonald, “My car is sinking: Automobile submersion, lessons in vehicle escape,” Aviat. Sp. Environ. Med., vol. 81, no. 8, pp. 779–784, 2010, doi: 10.3357/ASEM.2769.2010.
[9] K. Ali et al., “IoT System Design of Thermoelectric Generator for Harvesting Motorcycle Exhaust Heat Energy,” Lect. Notes Electr. Eng., vol. 921, no. 1, pp. 213–226, 2022, [Online]. Available: https://link.springer.com/chapter/10.1007/978-981-19-3923-5_19.
[10] S. Kale, “Developments in Unmanned Surface Vehicles (USVs): A Review,” Int. Conf. Appl. Eng. Nat. Sci., vol. 1, no. 1, pp. 596–600, 2023, doi: 10.59287/icaens.1064.
[11] K. Ali, R. Ghoni, and A. N. Abdalla, “Advanced control of hybrid-PLC system,” in Procedia Engineering, 2012, vol. 38, doi: 10.1016/j.proeng.2012.06.029.
[12] I. Bae and J. Hong, “Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation,” Sensors, vol. 23, no. 10, 2023, doi: 10.3390/s23104643.
[13] K. Ali, M. Fajehi, D. Rifai, R. Adimah, and T. Ibrahim, “Long Distance Wireless Monitoring Security House System,” vol. 8, no. 4, pp. 560–566, 2014.
[14] T. J. D. Kharudin Ali, A JoraimeeMohamad, DamhujiRifai, KohSiaw Paw, Chen Chai Phing, Chong Tak Yaw, “Control, instrumentation and mechatronics : theory and practice,” LNEE, vol. 921, p. 866, 2022, doi: doi.org/10.1007/978-981-19-3923-5.
[15] S. Sreenath, H. Malik, N. Husnu, and K. Kalaichelavan, “Assessment and Use of Unmanned Aerial Vehicle for Civil Structural Health Monitoring,” ProcediaComput. Sci., vol. 170, pp. 656–663, 2020, doi: 10.1016/j.procs.2020.03.174.