基于声学观测的海洋致灾生物监测系统设计
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作者单位:

1.青岛国实科技集团有限公司,山东 青岛 266237 ;2.崂山实验室,山东 青岛 266237 ;3.中国水产科学研究院渔业机械仪器研究所,上海 200092 ;4.中国水产科学研究院黄海水产研究所,山东 青岛 266071

作者简介:

宗艳梅(1989—),女,高级工程师,研究方向为海洋生物探测与识别,E-mail:ymzong@qnlm.ac

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基金项目:

崂山实验室科技创新项目(LSKJ202201804);国家自然科学基金项目(32073026)


Design of a marine disaster-inducing organism monitoring system based on acoustic observation
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Affiliation:

1.Qingdao Gosci Technology Group, Qingdao 266237 , China ; 2.Laoshan Laboratory, Qingdao 266237 , China ; 3.Fishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Science, Shanghai 200092 , China ; 4.Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Qingdao 266071 , China

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    摘要:

    为有效监测核电取水口水母(Jellyfish)、毛虾(Acetes)等海洋致灾生物,采用基于宽带声呐的声学探测方法对其进行监测,获取生物回声特性,分析其在敏感海域的分布密度及生物量等特性,可有效监测生物数量和分辨生物物种。本研究设计了海洋致灾生物监测预警系统,实时监测敏感海域致灾生物分布强度,并对超出设定阀值发出警报,方便实时监测以便作出人工干预,并对监测预警系统经过海试验证。结果表明,基于声学观测的海洋生物监测预警系统对监测核电站取水口海洋致灾生物是有效的,能提供实时监测数据并预警等诸多优点,具有较强的实用价值。[中国渔业质量与标准,2024, 14(4):36-44]

    Abstract:

    To effectively monitor marine disaster-inducing organisms, such as Jellyfish and Acetes, at nuclear power plant intakes, an acoustic detection method utilizing broadband sonar is employed. This approach enables the capture of their echo characteristics, the analysis of their distribution density and biomass in sensitive marine areas, and the efficient monitoring of organism numbers, and the identification of biological species. In this study, a marine biohazard monitoring and early warning system was designed to provide real-time surveillance of the distribution intensity of biohazard organisms in sensitive marine zones. The system is equipped to trigger an alarm when predefined thresholds are exceeded, thereby facilitating prompt manual intervention. The monitoring and early warning system has undergone rigorous sea trials to validate its efficacy. The results underscore the effectiveness of this acoustic-based marine biological monitoring and early warning system in tracking marine disaster organisms at nuclear power plant intakes. It not only delivers real-time monitoring data but also offers timely warnings, demonstrating its substantial practical value. [Chinese Fishery Quality and Standards, 2024, 14(4): 36-44]

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宗艳梅,唐学大,汤涛林,等.基于声学观测的海洋致灾生物监测系统设计[J].中国渔业质量与标准,2024,14(4):36-44. ZONG Yanmei, TANG Xueda, TANG Taolin, et al. Design of a marine disaster-inducing organism monitoring system based on acoustic observation[J]. Chinese Fishery Quality and Standards,2024,14(4):36-44.

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  • 收稿日期:2024-01-11
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  • 在线发布日期: 2024-12-09