{
    "created": "2026-05-19 15:32:33",
    "updated": "2026-06-23 06:22:20",
    "id": "88568482-f382-48a6-b99d-98de69fddf40",
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    "title_cn": "深水作业平台与控制系统集成设计图纸",
    "title_en": "Deepwater Platform and Control System Integrated Design Drawings",
    "ds_abstract": "<p>&emsp;&emsp;针对水库大坝混凝土表面裂缝修补缺少相应的水下作业装置的技术难题和装备短板，围绕“深水作业及泄水建筑物快速修复加固技术与装备”这一关键技术问题，根据库坝系统特殊水域环境和边界条件创新研发，突破深水作业技术装备瓶颈。</p>\n<p>&emsp;&emsp;系统分析高坝大库水下作业器材多功能、多场景作业需求，开展水下切割、钻孔、嵌填、灌浆等多种缺陷修补加固技术性能设计；研制基于动态吸附固定技术的可变角度钻孔-灌浆一体化器材、基于移动非接触吸附技术的切割器材与膏状嵌填材料挤出成型的移动嵌填器材，实现切割、钻孔、嵌填、灌浆等水下多种缺陷修补加固；开展深水作业平台集成设计与装备研制，设计基于矢量推进的平台运动控制系统，实现作业平台在水下的运动与姿态转换；研发多功能修复作业器材水下搭载及快速切换技术，研发不同作业模块器材切换支持及多机械手臂协同作业集成控制系统，通过样机水池试验，实现不同水下作业场景的快速切换功能。</p>",
    "ds_source": "<p>&emsp;&emsp;相关数据来源于国内外先进水下检测经验和成果</p>",
    "ds_process_way": "<p>&emsp;&emsp;本专题数据加工主要围绕实验、仿真与建模三类数据开展处理。实验数据通过高精度传感器采集，配合单片机与上位机系统实时记录为结构化表格。仿真数据基于CAD与CFD软件生成，包括几何建模、网格划分、流场计算等步骤，输出压力、流速等空间分布结果。建模与理论数据通过系统辨识、控制算法与力学模型进行数学处理，采用Matlab等工具进行参数拟合、状态估计与性能分析。实验与仿真数据经对比验证后，进行插值、拟合与误差分析，形成可支撑设计优化与结论评估的集成数据集。所有处理过程均遵循可追溯原则，确保数据的一致性与可靠性。</p>",
    "ds_quality": "<p>&emsp;&emsp;实验数据经多次重复测量与均值处理，传感器精度可达±0.1N，仿真数据经网格无关性验证与边界条件校准。数据产生过程完整，涵盖实验采集、仿真计算与建模分析各阶段，使用标准化采集系统、CFD软件与系统辨识方法，并通过交叉验证确保数据一致性与可靠性，所有流程均记录归档，支持结果可追溯与可复现。</p>",
    "ds_acq_start_time": "2022-11-01 00:00:00",
    "ds_acq_end_time": "2025-10-31 00:00:00",
    "ds_acq_place": "国内外水电、水利工程区",
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    "ds_share_type": "apply-access",
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    "paper_ref_way": "",
    "ds_ref_instruction": "深水作业平台与控制系统集成设计图纸",
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    "organization_id": "c0a03a3b-e859-4f8b-8abe-a6a23a81aedb",
    "ds_serv_man": "向衍",
    "ds_serv_phone": "13813992366",
    "ds_serv_mail": "yxiang@nhri.cn",
    "doi_value": "",
    "subject_codes": [
        "410"
    ],
    "quality_level": 0,
    "publish_time": "2026-06-23 10:12:18",
    "last_updated": "2026-06-23 10:12:18",
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    "lang": "zh",
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        "en": {
            "title": "Deepwater Platform and Control System Integrated Design Drawings",
            "ds_format": "*.pdf",
            "ds_source": "<p>&emsp; &emsp; The relevant data comes from advanced underwater detection experience and achievements at home and abroad</p>",
            "ds_quality": "<p>&emsp; &emsp; The experimental data has been repeatedly measured and averaged, and the sensor accuracy can reach ± 0.1N. The simulation data has been verified for grid independence and calibrated for boundary conditions. The data generation process is complete, covering all stages of experimental collection, simulation calculation, and modeling analysis. Standardized collection systems, CFD software, and system identification methods are used, and cross validation is conducted to ensure data consistency and reliability. All processes are recorded and archived, and the results are traceable and reproducible. </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp; &emsp; In response to the technical difficulties and equipment shortcomings of the lack of corresponding underwater operation equipment for repairing surface cracks in reservoir dam concrete, focusing on the key technical issue of \"rapid repair and reinforcement technology and equipment for deepwater operations and discharge structures\", innovative research and development are carried out based on the special water environment and boundary conditions of the reservoir dam system, breaking through the bottleneck of deepwater operation technology and equipment. </p>",
            "ds_time_res": "",
            "ds_acq_place": "Domestic and international hydropower and water conservancy engineering areas",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp; &emsp; The data processing of this topic mainly revolves around three types of data: experimental, simulation, and modeling. The experimental data is collected through high-precision sensors and recorded in real-time as a structured table in conjunction with a microcontroller and upper computer system. The simulation data is generated based on CAD and CFD software, including geometric modeling, mesh division, flow field calculation, etc., and outputs spatial distribution results such as pressure and flow velocity. Modeling and theoretical data are mathematically processed through system identification, control algorithms, and mechanical models, and parameter fitting, state estimation, and performance analysis are performed using tools such as Matlab. After comparing and verifying the experimental and simulation data, interpolation, fitting, and error analysis are performed to form an integrated dataset that can support design optimization and conclusion evaluation. All processing procedures follow the principle of traceability to ensure data consistency and reliability. </p>",
            "ds_ref_instruction": "Design drawings for integration of deepwater operation platform and control system"
        }
    },
    "submit_center_id": "ncdc",
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    "ds_topic_tags": [
        "库坝系统",
        "结构隐患",
        "水下探测",
        "潜水员探测",
        "潜水器探测"
    ],
    "ds_subject_tags": [
        "工程与技术科学基础学科"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "国内外水电、水利工程区"
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    "ds_time_tags": [],
    "ds_contributors": [
        {
            "true_name": "向衍",
            "email": "yxiang@nhri.cn",
            "work_for": "南京水利科学研究院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "向衍",
            "email": "yxiang@nhri.cn",
            "work_for": "南京水利科学研究院",
            "country": "中国"
        }
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    "ds_managers": [
        {
            "true_name": "向衍",
            "email": "yxiang@nhri.cn",
            "work_for": "南京水利科学研究院",
            "country": "中国"
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    ],
    "category": "其他"
}