Academic Journal of Engineering and Technology Science, 2024, 7(3); doi: 10.25236/AJETS.2024.070309.
Xu Rigan1, Ruijie Xuyicun1, Bin Wang2
1School of Finance, Nankai University, Tianjin, China
2College of Cyber Science, Nankai University, Tianjin, China
This article explores a comprehensive strategy to enhance safety measures for undersea tourism and exploration, particularly focusing on addressing submarine safety concerns in emergencies or malfunctions. The research aims to gain regulatory approval and trust by proposing strategies to ensure the safety of both tourists and submarine operators within various constraints. The study begins by predicting the submarine's position after power loss through an analysis of seawater density, ocean currents, and the creation of a digital elevation model of the Ionian Sea to pinpoint where the submarine could potentially strand on the seabed. Efforts are also dedicated to optimizing search and rescue equipment selection by synthesizing relevant parameters, developing utility formulas via the entropy weight method, and determining cost-effectiveness ratios to maximize utility within set budget limits. Moreover, a gridded probabilistic search model is introduced that leverages predictions of the submarine's potential stranding location in the ocean. This model assigns probabilities to possible submarine sightings within each grid, facilitating efficient search operations by continuously updating the search and rescue location with the highest cumulative probability. The approach extends its reach by adapting the model to different oceanic regions and incorporating multiple submarine interaction dynamics to significantly enhance search and rescue efforts.
Gridded probability; entropy weighting method; DEM; route planning
Xu Rigan, Ruijie Xuyicun, Bin Wang. Submarine Search and Rescue Study Based on Digital Elevation Model (DEM) and Probabilistic Grids. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 3: 64-71. https://doi.org/10.25236/AJETS.2024.070309.
[1] Yang Jing, Wu Jinping, Liu Jian et al. A semi-supervised learning submarine avoidance defence intelligent decision-making method[J/OL]. Journal of Military Engineering, 1-12[2024-03-13]. http: //kns.cnki.net/kcms/detail/11.2176.tj.20240112.1404.002.html.
[2] Zijian Zhang, Peng Li, Zhenlong Cheng et al. Research on relative elevation calculation method based on DEM data[J]. Geospatial Information, 2024, 22(02):52-54.
[3] Yan Gongmin, Wang Jinling, Zhou Xinyi. A high-precision Jetlink inertial guidance simulator based on measured trajectories[J]. Journal of Navigation and Positioning, 2015, 3(04):27-31+37. DOI:10. 16547/j.cnki.10-1096.20150406.
[4] Peng Zhiyong, Yang Hang, Wei Jinchuan et al. Development status and outlook of China's maritime search and rescue equipment [J]. World Maritime Transport, 2023, 46(06):26-29. DOI: 10. 16176/j. cnki. 21-1284.2023.06.007.
[5] Shi Ke,Wang Chunyan,Wang Mengke et al. Exploring the correlation between chemical components and colour of ginger semicolour based on AHP-entropy weighted TOPSIS hybrid weighting method[J]. Modern Chinese Medicine Research and Practice, 2023, 37(05):54-59. DOI: 10. 13728/j.1673-6427. 2023. 05.010.
[6] Song Yi, Song Xiaojiang, Gao Zhiyi et al. Study on probabilistic forecasting of gridded meteorological elements offshore China based on Bayesian theory[J]. Ocean Forecast, 2017,34(03):1-9.