基于模型驱动的海量数据判读系统研究与实践
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空间物理重点实验室,,,

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TH873.7

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Research and practice of massive data interpretation system based on Model driven
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    摘要:

    我国“十三五”期间在飞运载火箭、武器型号进入高密度发射期,在研型号进入研制关键期。高密度发射期间,与以往发射任务相比,发射任务繁重,测试及发射周期明显缩短。在测试及发射过程中,测控数据判读是重要环节,直接关系到飞行器各系统功能和性能判定,整体性能评估。传统模式下,靶场测试、发射期间需要大量的测试判读人员现场开展数据判读分析,耗费大量人力成本。为解决上述问题,本文提出了基于模型驱动的自动判读方法,同时文中设计了面向特定领域的数据判读建模语言AIPScript(AutoIP Script),实现了姿控、制导、动力、电气总体及测量各系统或专业的判据描述、数学建模及自动判读,并自动生成判读分析报告。实际应用表明,该方法的提出不仅节省了人力资源而且大大地提高了判读效率和准确度。

    Abstract:

    During the "13th Five-Year" period, the launch vehicle and weapon models entered the high density launch phase and entered the critical period of development. During the high-density launch, compared with the previous launch mission, the launch mission is heavy, and the test and launch cycle is obviously shortened. In the process of testing and launching, the interpretation of TT C data is an important part, which is directly related to the function and performance evaluation of aircraft systems, and the overall performance evaluation. In the traditional mode, during the shooting range test and launching, a large number of test interpreters need to carry out data interpretation and analysis, which costs a lot of manpower cost. In order to solve the above problems, this paper proposes an automatic interpretation method based on model driven. At the same time, a data interpretation modeling language AIPScript (AutoIP Script) for specific domain is designed in this paper, which realizes the judgement of the attitude control, guidance, power, electric population and the system or specialty of measurement, mathematical modeling and automatic interpretation. And the interpretation analysis report is automatically generated. Practical application shows that the proposed method not only saves human resources, but also greatly improves the efficiency and accuracy of interpretation.

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王毅,吴晓蕊,封慧英,刘萍.基于模型驱动的海量数据判读系统研究与实践计算机测量与控制[J].,2018,26(12):190-194.

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  • 收稿日期:2018-05-22
  • 最后修改日期:2018-06-20
  • 录用日期:2018-06-21
  • 在线发布日期: 2018-12-21
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