The Wind Power Watch, "Guarding" for Safety - Data-Driven Intelligent Deterrence System for Monitoring Ships in Offshore Wind Farms

Authors

  • Haiyang Hu
  • Minghua Sun
  • Jianwen Ma

DOI:

https://doi.org/10.54691/74s6sk26

Keywords:

Offshore Wind Farms; Ship Monitoring; Repulsion System; Geographic Information Systems (GIS); Automatic Identification Systems (AIS); Intelligent Voice Repulsion.

Abstract

This study successfully developed a ship monitoring and repulsion system for offshore wind farms aimed at ensuring the safety and stable operation of the wind farms. The system is capable of real-time monitoring of ship activities and environmental conditions, quickly identifying and eliminating potential safety risks. The research content includes various aspects such as ship detection, path tracking, repulsion decision-making, and data processing. The system integrates multi-sensor data, Geographic Information Systems (GIS), Automatic Identification Systems (AIS) for ships, artificial intelligence algorithms, and advanced communication technologies, constructing an efficient and intelligent monitoring and repulsion framework. Field test results indicate that the system exhibits stable performance and efficient monitoring capabilities under harsh weather conditions, while the intelligent voice repulsion function has shown significant effects.

Downloads

Download data is not yet available.

References

[1] Marie M ,Andreas H ,Teis B,et al.Multi-use of offshore wind farms with low-trophic aquaculture can help achieve global sustainability goals[J].Communications Earth & Environment,2023,4(1).

[2] Hou C ,Wenjie Z ,Hu C,et al.Summary of development of offshore wind power transmission technology and local hydrogen production [J].Journal of Physics: Conference Series,2023,2486(1).

[3] Shen Sixi, Chen Yuanlin, An Bowen, et al. Software Design of Marine Wind Farm Vessel Monitoring System Based on AIS and GIS [J]. Modern Computer (Professional Edition), 2018, (20): 91-95+100.

[4] Yuhan C ,Heyun L .Overview of the development of offshore wind power generation in China [J].Sustainable Energy Technologies and Assessments,2022,53(PD).

[5] Zhao Xianfeng, Fang Yanjun. A Brief Analysis of the Current Status and Development Trend of China's AIS System [J]. Information Communication, 2020, (02): 37-38.

[6] Li Kaipeng, Wu Xingxiao, Shao Yuan, et al. A Protection Method and System for Power Submarine Cables: CN202110830199.0[P]. CN202110830199.0[2024-04-21].

[7] Anonymous.OCEAN DATA PLATFORM SUPPORTS MARINE RESOURCE MANAGEMENT [J]. Ocean News & Technology,2019,17-17.

[8] Zhang X ,Heald G ,Lyons P A ,et al.Guest editorial: recent advances in synthetic aperture sonar technology [J].Electronics Letters,2023,59(14).

[9] Sun Jingdong, Zhong Qingyun, Deng Wei. Research on Safety Assurance Method of Offshore Wind Farm Based on Electronic Fence and Acoustic Light Warning System [J]. China Water Transport, 2020, (05): 60-63. DOI:10.13646/j.cnki.42-1395/u.2020.05.024.

[10] Gebreyesus G G ,J. P ,S. I .Design of advanced intrusion detection systems based on hybrid machine learning techniques in hierarchically wireless sensor networks [J].Connection Science,2023,35(1).

[11] Wu Zhengming, et al. A method for monitoring the entire process of submarine cable anchoring damage, CN112133130A, 2020.

[12] Wang Yongming, Rao Quancheng, Yao Ping. Design and implementation of an algorithm for capturing ship entry and departure behaviors [J]. Journal of Shanghai Maritime University, 2018, 39(01): 6-12. DOI:10.13340/j.jsmu.2018.01.002.

[13] Pratap A G ,Nithiyanandam Y .Maritime communication: From flags to the VHF Data Exchange System (VDES) [J].Maritime Affairs: Journal of the National Maritime Foundation of India,2020, 16(2): 119-131.

[14] Huang Tiansi. Design and Implementation of AIS Network System Based on MQTT Protocol [D]. Chongqing University, 2020. DOI:10.27670/d.cnki.gcqdu.2020.004407.

[15] Li Bao. Research on the Validity Analysis of AIS Message Parameters [D]. Dalian Maritime University, 2017.

[16] Wang Qin. Design and Implementation of Application Software for AIS Ship Network Monitoring System [D]. University of Electronic Science and Technology of China, 2010.

[17] Jing Jincheng, Tang Bin, Nan Xi, et al. Design and Implementation of Land Cover Sample Management System [J]. Computer Engineering and Design, 2019, 40(02):596-601. DOI: 10.16208/j.issn1000-7024.2019.02.052.

[18] Zhang Shuangliang, Tan Zhuangzhuang, Zhang Fenghong, et al. Design and Research of Intelligent Security Monitoring System for Offshore Platforms [J]. Infrared, 2020, 41(09):42-48.

[19] Sun Jingdong, Zhong Qingyun, Deng Wei. Research on Safety Assurance Method for Offshore Wind Farms Based on Electronic Fence and Acoustic-Optical Warning System [J]. China Water Transport, 2020, (05):60-63. DOI:10.13646/j.cnki.42-1395/u.2020.05.024.

[20] Hu Angang. China's Achievement of Carbon Peak Target by 2030 and Main Approaches [J]. Journal of Beijing University of Technology (Social Sciences Edition), 2021, 21(03):1-15.

Downloads

Published

2024-09-20

Issue

Section

Articles