| 摘要: |
| 船载海洋调查装备获取的观测数据是海洋资源勘探、生态环境监测及海洋科学研究的重要 基础，其数据质量直接决定调查成果的可靠性与应用价值。然而，传统数据质控模式存在标准碎 片化、人工依赖度高、时效性不足等突出问题，难以满足现代海洋调查对数据高精度、高效率、 高可靠性的核心需求。为此，文章以船载调查装备原始观测数据的全流程异常判别和质量闭环管 控为目标，在构建“要素—标准—流程”三维质控技术框架的基础上，突破全链条可视化质控和 无干预自动化关键技术，研发“实时 + 定时”双模式智能质控系统，推动质控模式由“事后纠错” 向“实时智能管控”的根本性转型。该系统已在“科学”号科考船近 20 个科考航次中成功示范应用，现场设备的异常检出率超 89％，人工质控耗时降低 90％ 以上，质控时效从航后数天压缩至实时 / 定时小时级。研究成果为船载海洋调查装备数据的高质量采集和可靠应用提供技术支撑， 也为船载海洋调查装备智能化升级奠定基础。 |
| 关键词: 船载海洋调查装备 数据质控 智能质控系统 全链条可视化 闭环管控 |
| DOI：10.20016/j.cnki.hykfygl.2026.06.007 |
| 投稿时间：2025-11-28修订日期：2026-06-10 |
| 基金项目:国家发展改革委“海洋科学综合考察船仪器设备更新改造”项目（E5LZZ10801）． |
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| Construction and Practical Application of a Data Quality Control System for Shipborne Marine Survey Equipment |
| GONG Xudong，LUAN Zhendong，JIANG Jinguang，SUN Yufeng |
| Department of Engineering and Technology，Institute of Oceanology，Chinese Academy of Sciences;Key Laboratory of Marine Geology and Environment，Institute of Oceanology，Chinese Academy of Sciences |
| Abstract: |
| Observation data acquired by shipborne marine survey equipment serve as a critical foundation for marine resource exploration，ecological environment monitoring，and marine scientific research．The quality of these data directly determines the reliability and application value of survey outcomes．However，the traditional data quality control（QC）model has long been plagued by prominent issues，including fragmented standards，heavy reliance on manual operations，and poor timeliness，which renders it incapable of meeting the core requirements of modern marine surveys for high precision，high efficiency，and high reliability of data．To address these issues and achieve full-process anomaly identification and closed-loop quality management and control of raw observation data from shipborne survey equipment，this study establishes a three-dimensional QC technical framework based on“element- standard-process”．It breaks through the key technologies of full-chain visual quality control and non-intervention automation，and develops an intelligent QC system featuring“real-time + scheduled”dual modes．This achieves a fundamental transformation of the QC model from post-hoc error correction to real-time intelligent management and control．The system has been successfully demonstrated and applied in nearly 20 scientific research cruises aboard the Research Vessel Kexue．Field tests show that the error detection rate for on-site equipment reaches over 89％，the time required for manual QC is reduced by more than 90％，and the QC timeliness is shortened from several days post-voyage to real-time or hourly scheduled intervals．The research findings provide technical support for the high-quality acquisition and reliable application of data from shipborne marine survey equipment，and lay a solid foundation for the intelligent upgrading of such equipment. |
| Key words: Shipborne marine survey equipment Data quality control Intelligent quality control system Full-chain visualization Closed-loop management and control |
