IDEAS home Printed from https://ideas.repec.org/a/ids/ijetma/v24y2021i3-4p135-149.html
   My bibliography  Save this article

The detection method for uneven settlement of foundation in the area of industrial waste miscellaneous filling

Author

Listed:
  • Hongxia Liu
  • Aidan Moore

Abstract

In order to overcome the problems of large error and long time in the detection process of traditional foundation subsidence detection methods, this paper proposes a multi-feature fusion based detection method for uneven foundation subsidence in the area of mixed industrial waste. The method USES wavelet transform technology to filter the ground image of the industrial waste filling area and improves the accuracy and timeliness of settlement detection fundamentally. After obtaining the optimal threshold values of different sub-blocks of the foundation image, combined with the multi-scale ridge edge fusion algorithm, the uneven settlement of the foundation area was detected by the feature fusion process. The experimental results show that the detection error of this method is basically kept below 4%, the detection process takes less than 50ms all the time, and the detection cost is less than 60,000 yuan, which fully demonstrates the effectiveness of this method.

Suggested Citation

  • Hongxia Liu & Aidan Moore, 2021. "The detection method for uneven settlement of foundation in the area of industrial waste miscellaneous filling," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 24(3/4), pages 135-149.
    • Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:135-149
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=116805
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:135-149. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=11 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.