舰船信息系统装备质量数据智能采集与分析技术研究
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中国人民解放军92942部队

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Research of Equipment-Quality-Data Acquisition and Intelligent Analysis Technology in Warship Information System
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    摘要:

    舰船信息系统装备形态多样、技术状态复杂,性能数据和质量数据庞大,需要采用信息化、智能化手段,实现对海量数据的采集、提取、整合与调用,供状态监测和性能评估使用。通过研究信息系统装备相关设计、测试、试验、使用维护数据的获取方式和手段,开展信息采集、图像处理以及应用架构设计等关键技术研究工作,解决质量数据的采集接口不统一,质量数据存储分散,数据分析和利用不够的诸多问题,提高工作效率、降低使用维护成本。在信息采集的基础上,通过研究面向舰船信息系统装备研制、试验、运行、维护等多环节统一的数据环境,开展质量数据建模分析、成功数据包络、性能评估及辅助决策等关键技术研究工作,构建舰船质量数据的高速处理和分析体系,解决辅助决策过程信息多、依据多、流程复杂的问题,可辅助快速生成技术决策建议,缩短决策时间。

    Abstract:

    The warship information system equipment has various forms, complex technical status, and huge performance and quality data. It needs to adopt information and intelligent means to achieve the collection, extraction, integration and call of massive data for state monitoring and performance evaluation. By studying the methods and means of acquiring data related to the design, testing, experiment, use and maintenance of information system equipment, it carried out research on key technologies such as information acquisition, image processing, and application architecture design, to solve many problems such as inconsistent quality data acquisition interfaces, decentralized quality data storage, insufficient data analysis and utilization, improve work efficiency, and reduce use and maintenance costs.On the basis of information collection, by studying the unified data environment for the development, test, operation, maintenance and other multiple links of the warship information system equipment, it carried out research on key technologies such as quality data modeling and analysis, successful data envelope, performance evaluation and auxiliary decision-making, built a high-speed processing and analysis system for warship quality data, and solved the problems of more information, more basis, and more complex processes in the auxiliary decision-making process, It can help to quickly generate technical decision-making suggestions and shorten decision-making time.

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贺喆,王大翊,高宁.舰船信息系统装备质量数据智能采集与分析技术研究计算机测量与控制[J].,2023,31(2):178-184.

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  • 收稿日期:2022-11-10
  • 最后修改日期:2022-11-28
  • 录用日期:2022-11-29
  • 在线发布日期: 2023-02-16
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