• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

• 图形与图像 • 上一篇    下一篇

星载感应式磁力仪地面检测系统及数据预处理软件设计

陈昱,王淼,任海燕,曾立   

  1. (北京航空航天大学空间与环境学院,北京 102206)
  • 收稿日期:2016-03-08 修回日期:2016-08-31 出版日期:2018-09-25 发布日期:2018-09-25
  • 基金资助:

    国家自然科学基金(41074130,41327802)

Design of ground testing system and data preprocessing
software for space-bornesearch coil magnetometer
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CHEN Yu,WANG Miao,REN Haiyan,ZENG Li   

  1. (School of Space and Environment,Beihang University,Beijing 102206,China)
     
  • Received:2016-03-08 Revised:2016-08-31 Online:2018-09-25 Published:2018-09-25

摘要:

星载感应式磁力仪载荷可获取空间低频交流磁场,地面检测系统及数据预处理软件是设计开发的重要调试工具。首先介绍了感应式磁力仪的工作原理、探测数据产品及相应的研究意义。然后针对载荷设备外部接口设计了地面检测系统,实现了载荷与上位机的通信功能,并采用Visual C++调用Matlab的方法设计了一套具有实时科学数据显示的数据预处理软件,实现了在保持科学数据完整接收的同时以动态刷新方式显示不同方向和频段波形图的功能。该方法编程简单,集成功能全面,已经历了卫星多阶段的测试和试验。运行结果表明,该系统能够对仪器工作状态进行实时监视和控制,具有易维护和可拓展的特点,为星载仪器后续阶段的研制和应用提供了测试条件。

关键词: 感应式磁力仪, 数据预处理, 地面检测, Visual C++, Matlab

Abstract:

Space-borne search Coil Magnetometer(SCM)is able to detect space low frequency alternating magnetic field.Ground testing system and data preprocessing are important tools for design and development.Firstly,the working principle, data product and research significance of SCM are introduced. Secondly, aground testing system is designed based on theexternal interface of the payload, which implements the communication function between the payload and the computer.By using Visual C++ to call Matlab, a data preprocessing software for SCM is designed, with realtime scientific display function. The system can not only completely receive scientific data but also display the waveforms of different directions and frequency bands in dynamic refresh mode. The method is simple in programming and has comprehensive integrated functions. It has undergone multi-stage satellite testing and experiments. The software running results indicate that the system can monitor and control the working status of the payload in real-time. It has the characteristics of easy maintenance and expandability, and provides test conditions for the development and application of the onboard instrument in the follow-up stage.

Key words: inductive magnetometer, data preprocessing, ground testing system, Visual C++, Matlab