构建海上电缆保护用声学感知数据集，支持船舶检测与定位研究
A Distributed Acoustic Sensing Dataset for Vessel Detection and Localization in Submarine Cable Protection
- 基于海底光缆的分布式声学传感技术采集数据
- 含74,771条标注数据，覆盖2.554公里电缆段十天连续记录
- 适用于海洋环境下的船舶监测算法开发与验证
近年来，北海等海域多次发生海底通信与电力电缆意外损伤及疑似破坏事件，凸显其脆弱性，亟需持续监测方案。利用铺设在海底光缆上的分布式声学传感（DAS）技术，可实现大范围水下声学活动监测。本文发布Marlinks-NS DAS数据集，包含经处理的海底DAS测量数据及基于AIS信息提取的船舶信息，专为电缆保护研究设计。该数据集定义了两项机器学习任务：船舶检测与船舶-电缆距离估计，支持在真实海洋环境下可复现的研究。数据来自北海水域一条28公里埋设的光纤电缆上2,554米区段，连续记录十天，共74,771个标注样本。每个样本包含250个传感通道的频谱能量特征，以及匿名化距离测量值和来自AIS的元数据。发布的HDF5数据文件、文档、处理说明与示例代码，支持基于DAS的船舶监测方法在海底电缆保护中的可复现开发与评估。
原文摘要 · Abstract (English)
Recent incidents of accidental damage and suspected sabotage to submarine telecommunication and power cables, particularly in the Baltic Sea, have underscored their vulnerability and the need for continuous monitoring solutions. Distributed acoustic sensing (DAS) applied to submarine optical-fiber cables enables wide-area monitoring of underwater acoustic activity. We present the Marlinks-NS DAS dataset, comprising processed submarine DAS measurements and AIS-derived vessel information curated for cable-protection research. The dataset defines two machine-learning tasks (vessel detection and vessel-to-cable distance estimation) allowing reproducible research under realistic marine conditions. The dataset contains 74,771 labeled data instances from ten days of continuous recording along a 2,554 m segment in a 28 km buried fiber-optic cable in the North Sea. Each instance includes spectral-energy features from 250 sensing channels, together with anonymized distance measurements and metadata from AIS information. The released HDF5 data, documentation, processing description, and example code support reproducible development and evaluation of DAS-based vessel-monitoring methods for submarine cable protection.
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