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基于AIS数据的拖网板撞击海底管道典型损伤风险评估

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渔船拖网作业造成的撞击破坏对海底管道的安全构成巨大威胁,拖网板撞击风险评估是海底管道防护设计的重要内容,通常涉及对撞击频率和相应破坏程度的估计。虽然挪威船级社提供了计算撞击频率和撞击能量的建议做法,但仍然缺乏考虑不同区域的船舶交通和渔船拖网作业信息的方法。以南海部分海域船舶自动识别系统(AIS)数据为基础,识别出渔船的拖网作业轨迹,采用Douglas-Peucker算法和基于马氏距离的聚类(DBSCAN)算法对拖网轨迹进行压缩与聚类,计算出拖网板对海底管道的撞击频率,并利用风险矩阵分析每次撞击造成的管道损伤程度,实现综合考虑撞击频率和损伤程度的海底管道拖网板撞击风险评估。该方法可为改进海底管道风险评估与防护设计提供帮助。
Typical damage risk assessment for trawl board impacts on subsea pipelines based on AIS data
Impact damage caused by fishing vessel trawling poses a great threat to the safety of subsea pipelines,and the impact risk assessment of trawl plates is an important part of subsea pipeline protection design,which usually involves the estimation of impact frequency and corresponding damage degree.Although DNV provides recommended practices for calculating impact frequency and impact energy,there is still a lack of methods to take into account vessel traffic and fishing vessel trawling information in different regions.Based on the AIS data in the South China Sea,the trawl trajectories of fishing vessels were identified,the trawl trajectories were compressed and clustered by Douglas-Peucker algorithm and DBSCAN algorithm,the impact frequency of trawl board on subsea pipeline was calculated,the pipeline damage degree caused by each impact was analyzed by risk matrix,and the risk assessment of subsea pipelines by impacts of trawl board considering impact frequency and damage degree was realized.The method proposed in this paper can help to improve the risk assessment and protection design of subsea pipelines.

AIS datafishing trawlsubsea pipelinerisk assessment

周健、刘宇、尹丰、刘延波

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哈尔滨工程大学船舶工程学院,黑龙江哈尔滨150001

哈尔滨工程大学青岛创新发展基地,山东青岛266000

中国海洋石油集团有限公司中海油研究总院,北京100028

船舶自动识别系统数据 渔船拖网 海底管道 风险评估

2024

中国航海
中国航海学会

中国航海

CSTPCD北大核心
影响因子:0.458
ISSN:1000-4653
年,卷(期):2024.47(4)