| 吴培良,王智伟,孔德明,谢贝贝,崔永强.海上半潜油链式多节点传感器探测阵列研究[J].电子测量与仪器学报,2025,39(11):33-41 |
| 海上半潜油链式多节点传感器探测阵列研究 |
| Study of an offshore submerged oil chained multi-node sensor detection array |
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| DOI： |
| 中文关键词: 溢油 半潜油 电阻率 六电极电导率传感器 链式多节点传感器探测阵列 |
| 英文关键词:oil spill submerged oil resistivity six-electrode conductivity sensor chained multi-node sensor detection array |
| 基金项目:国家自然科学基金(62173289，U20A20167)、河北省自然科学基金 (F202103079，F2021203084)、中央引导地方科技发展资金(236Z1811G，236Z1704G)、河北省创新能力提升计划(22567626H)、秦皇岛市科学技术研究与发展计划(202302B023)项目资助 |
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| Author | Institution |
| Wu Peiliang | 1.School of Artificial Intelligence(School of Software),Yanshan University, Qinhuangdao 066004, China; 2.The Key Laboratory for
Computer Virtual Technology and System Integration of Hebei Province, Yanshan University, Qinhuangdao 066004, China |
| Wang Zhiwei | School of Artificial Intelligence(School of Software),Yanshan University, Qinhuangdao 066004, China |
| Kong Deming | 3.School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China; 4.Tianfu Cosmic Ray Research Center,
Institute of High Energy Physics of the Chinese Academy of Sciences, Chengdu 610299, China |
| Xie Beibei | 1.School of Artificial Intelligence(School of Software),Yanshan University, Qinhuangdao 066004, China; 2.The Key Laboratory for
Computer Virtual Technology and System Integration of Hebei Province, Yanshan University, Qinhuangdao 066004, China |
| Cui Yongqiang | 1.School of Artificial Intelligence(School of Software),Yanshan University, Qinhuangdao 066004, China; 2.The Key Laboratory for
Computer Virtual Technology and System Integration of Hebei Province, Yanshan University, Qinhuangdao 066004, China |
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| 中文摘要: |
| 半潜油是一种长期悬浮和游荡在海水中的溢油，现有探测方法难以获取相当范围内完整一段半潜油的浓度、油种、组分、分布与边界等基本必要信息，从而无法对海上半潜油溯源、追踪和预测等探测问题开展深入研究。为此，研究了一种由多个主、辅节点相间组成的海上半潜油链式多节点传感器探测阵列。其中，主节点采用基于激光诱导时间分辨荧光光谱技术的水下探测装置以获取浓度、油种与组分等信息，辅节点则采用低成本的六电极电导率传感器以实现浓度、分布与边界测量。所述六电极传感器由6个按特定几何排列的环形电极构成，通过对多对电极间电压的测量获取局部电阻率数据，并据此构建电阻率——半潜油浓度的回归模型。最后，通过实验验证了该模型具有良好的泛化能力和较高的测量精度，其在校准和验证集中的决定系数分别0.95和0.96。该研究为大剖面、立体化探测海上半潜油提供了一种新的链式传感器阵列和浓度计算方法，很好地解决了探测半潜油所需的基本必要参数测量问题。 |
| 英文摘要: |
| Submerged oil is a type of oil spill that remains suspended and drifting in seawater for extended periods. Existing detection methods find it difficult to obtain the essential information of submerged oil over a considerable range, including concentration, type, composition, distribution, and boundary, making it difficult to conduct in-depth studies on its source tracking, tracking, and prediction. To this end, a chain-type multi-node sensor array for detecting submerged oil in marine environments was developed, consisting of alternating main and auxiliary nodes. The main nodes employ a high-sensitivity underwater detection device based on laser-induced time-resolved fluorescence spectroscopy to obtain information such as oil type, concentration, and composition, while the auxiliary nodes utilize low-cost six-electrode conductivity sensors to measure concentration, distribution, and boundary. The six-electrode sensor is composed of six annular electrodes arranged in a specific geometric configuration. By measuring the voltage between multiple pairs of electrodes, local resistivity data are obtained, based on which a regression model relating resistivity to the concentration of submerged oil is constructed. Finally, experimental validation demonstrated that the model exhibits strong generalization capability and high measurement accuracy, with coefficients of determination of 0.95 and 0.96 for the calibration and validation sets, respectively. This study provides a novel chain-type sensor array and concentration calculation method for large-profile, three-dimensional detection of submerged oil at sea, effectively addressing the measurement requirements for the fundamental parameters in such detection. |
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