Volume 38 Issue 4
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Zhang Zizhen, Zhou Honglei, Zhang Jiankun, Jia Hui. Kalman Filter in Automatic Monitoring Data Noise Processing[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2024, 38(4): 398-401. doi: 10.3969/j.issn.1007-2993.2024.04.004
Citation: Zhang Zizhen, Zhou Honglei, Zhang Jiankun, Jia Hui. Kalman Filter in Automatic Monitoring Data Noise Processing[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2024, 38(4): 398-401. doi: 10.3969/j.issn.1007-2993.2024.04.004
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Kalman Filter in Automatic Monitoring Data Noise Processing

doi: 10.3969/j.issn.1007-2993.2024.04.004
  • 1.

    BGI Engineering Consultants Ltd., Beijing 100038, China

  • 2.

    Beijing Municipal Engineering and Technology Research Center of Road and Municipal Pipeline Underground Disease, Beijing 100038, China

  • Received Date: 2023-08-07
  • Accepted Date: 2024-03-11
  • Rev Recd Date: 2024-02-19
    • Available Online: 2024-08-09
  • Publish Date: 2024-08-09
    Abstract
  • The application of Kalman filtering in denoising static leveling and fixed inclinometer raw data was investigated. The results indicated that under slow deformation conditions, Kalman filtering can effectively filter out noise in the original data, provide reliable results, and reveal the true deformation situation of the monitored object. But in case of sudden deformation, Kalman filtering reflects lag. Therefore, in practical applications, the data before and after filtering should be comprehensively used to more accurately analyze deformation trends and patterns. It provided new ideas and methods for noise processing in automatic monitoring data. The application of Kalman filtering can further improve the accuracy and reliability of monitoring data, providing support for engineering safety monitoring and geological disaster warning.

     

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