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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Environmental Technology and Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
