Volume 41 Issue 3
May  2021
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GUO Guohang, LI Hu, HU Tai, XIE Xiajie, ZHAN Fenglin. Research on the Multidimensional Data Cube Method of the Quantum Science Experiment Satellite[J]. Chinese Journal of Space Science, 2021, 41(3): 467-474. doi: 10.11728/cjss2021.03.467
Citation: GUO Guohang, LI Hu, HU Tai, XIE Xiajie, ZHAN Fenglin. Research on the Multidimensional Data Cube Method of the Quantum Science Experiment Satellite[J]. Chinese Journal of Space Science, 2021, 41(3): 467-474. doi: 10.11728/cjss2021.03.467

Research on the Multidimensional Data Cube Method of the Quantum Science Experiment Satellite

doi: 10.11728/cjss2021.03.467
  • Received Date: 2019-10-16
  • Rev Recd Date: 2020-05-09
  • Publish Date: 2021-05-15
  • Scientific experiment satellite should be target-oriented, which requires several mission teams to develop a phase experiment plan and take operations according to the actual situation. These experiment plans depend on the data generated by mission operation and are integrated from the strategy set derived from some data analysis of each subsystem of the scientific satellite mission. Along with the operation of QUESS on orbit, a large amount of operational data will be generated. To solve this problem, current mainstream approach mainly relies on log statistics and data statistics of conventional database systems. However, these methods consume more energy and time, and require more professional skills of analysts, which cannot meet the requirements of multi-angle and multi-granularity research and judgment tasks. Moreover, the scalability of the methods is very poor. When the observation angle of the problem changes, it is often necessary to reorganize the statistical analysis of the data. In view of the above situations, a multi-dimensional data modeling and analysis method based on data cube is proposed, which can face different topics and support multi-level, multi-angle and multi-granularity statistical analysis of data, providing good support for decision makers.

     

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