An Integrated Safety Monitoring and Pre-Warning System for Fishing Vessels
Fishing vessels are essential for the activities of catching, moving, and storing fish. However, fishing vessel accidents claim thousands of deaths every year. This study presents a novel integrated safety monitoring and early warning system designed for fishing vessels, offering significant advance...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/6/1049 |
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| author | Kun Yang Jinglong Lin Jianjun Ding Bing Zheng Li Qin |
| author_facet | Kun Yang Jinglong Lin Jianjun Ding Bing Zheng Li Qin |
| author_sort | Kun Yang |
| collection | DOAJ |
| description | Fishing vessels are essential for the activities of catching, moving, and storing fish. However, fishing vessel accidents claim thousands of deaths every year. This study presents a novel integrated safety monitoring and early warning system designed for fishing vessels, offering significant advancements in maritime safety through real-time alerts based on vessel attitude motion and environmental conditions. The innovation of the system lies in its dual-subsystem architecture: a sensing terminal equipped with a nine-axis sensor, temperature and humidity sensors, a GPS module, and a surveillance camera collects critical data, while a decision support subsystem processes this information via a fuzzy logic-based algorithm to generate a “danger score”. This score quantifies the vessel’s safety status, enabling the system to trigger alerts through SMS and web notifications when predefined thresholds are exceeded. Field trials in the Zhoushan Sea area confirmed the system’s effectiveness in accurately predicting safety hazards and providing timely alerts. The results highlight its potential to enhance operational safety and contribute to the digitization of fisheries management by offering reliable real-time data on vessel conditions. The system’s modular and cost-efficient design ensures it is scalable and adaptable for widespread use across the fishing industry. Our study addresses the limitations of existing technologies by providing a balanced solution that combines comprehensive sensing capabilities with real-time responsiveness and cost-effectiveness, offering a practical and innovative approach to improve fishing vessel safety. |
| format | Article |
| id | doaj-art-ee446fbeb7b345c0943c6dc10791ce73 |
| institution | OA Journals |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-ee446fbeb7b345c0943c6dc10791ce732025-08-20T02:21:13ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-05-01136104910.3390/jmse13061049An Integrated Safety Monitoring and Pre-Warning System for Fishing VesselsKun Yang0Jinglong Lin1Jianjun Ding2Bing Zheng3Li Qin4Department of Information Engineering, Zhejiang Ocean University, Zhoushan 316022, ChinaDepartment of Information Engineering, Zhejiang Ocean University, Zhoushan 316022, ChinaDepartment of Information Engineering, Zhejiang Ocean University, Zhoushan 316022, ChinaKey Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources, Guangzhou 510300, ChinaDepartment of Information Engineering, Zhejiang Ocean University, Zhoushan 316022, ChinaFishing vessels are essential for the activities of catching, moving, and storing fish. However, fishing vessel accidents claim thousands of deaths every year. This study presents a novel integrated safety monitoring and early warning system designed for fishing vessels, offering significant advancements in maritime safety through real-time alerts based on vessel attitude motion and environmental conditions. The innovation of the system lies in its dual-subsystem architecture: a sensing terminal equipped with a nine-axis sensor, temperature and humidity sensors, a GPS module, and a surveillance camera collects critical data, while a decision support subsystem processes this information via a fuzzy logic-based algorithm to generate a “danger score”. This score quantifies the vessel’s safety status, enabling the system to trigger alerts through SMS and web notifications when predefined thresholds are exceeded. Field trials in the Zhoushan Sea area confirmed the system’s effectiveness in accurately predicting safety hazards and providing timely alerts. The results highlight its potential to enhance operational safety and contribute to the digitization of fisheries management by offering reliable real-time data on vessel conditions. The system’s modular and cost-efficient design ensures it is scalable and adaptable for widespread use across the fishing industry. Our study addresses the limitations of existing technologies by providing a balanced solution that combines comprehensive sensing capabilities with real-time responsiveness and cost-effectiveness, offering a practical and innovative approach to improve fishing vessel safety.https://www.mdpi.com/2077-1312/13/6/1049integrated systemfishing vesselmarine safetysafety warning |
| spellingShingle | Kun Yang Jinglong Lin Jianjun Ding Bing Zheng Li Qin An Integrated Safety Monitoring and Pre-Warning System for Fishing Vessels Journal of Marine Science and Engineering integrated system fishing vessel marine safety safety warning |
| title | An Integrated Safety Monitoring and Pre-Warning System for Fishing Vessels |
| title_full | An Integrated Safety Monitoring and Pre-Warning System for Fishing Vessels |
| title_fullStr | An Integrated Safety Monitoring and Pre-Warning System for Fishing Vessels |
| title_full_unstemmed | An Integrated Safety Monitoring and Pre-Warning System for Fishing Vessels |
| title_short | An Integrated Safety Monitoring and Pre-Warning System for Fishing Vessels |
| title_sort | integrated safety monitoring and pre warning system for fishing vessels |
| topic | integrated system fishing vessel marine safety safety warning |
| url | https://www.mdpi.com/2077-1312/13/6/1049 |
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