Automatic Identification and Location of Tunnel Lining Cracks
The lining crack is common for the tunnel in the stage of operation, which has seriously influenced the service life and safety of tunnel engineering. It is a new trend to use computer vision to detect tunnel cracks over the past few years in China and foreign countries. By image processing technolo...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/8846442 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832550107047788544 |
|---|---|
| author | Pengyu Wang Shuhong Wang Alipujiang Jierula |
| author_facet | Pengyu Wang Shuhong Wang Alipujiang Jierula |
| author_sort | Pengyu Wang |
| collection | DOAJ |
| description | The lining crack is common for the tunnel in the stage of operation, which has seriously influenced the service life and safety of tunnel engineering. It is a new trend to use computer vision to detect tunnel cracks over the past few years in China and foreign countries. By image processing technology and intelligent algorithm, the computer has a hominine visual perception system which understands, analyzes, and determines input image information, thus recognizing and detecting specific objectives. However, the effect of image recognition for tunnel crack now cannot satisfy the demands of practical engineering. SSD algorithm has been used when analyzing features of lining surface image, while comparison analysis has been made from image recognition results, error rate, and running time. The results indicate that the SSD algorithm can accurately and rapidly detect and mark the position of the tunnel crack. The tunnel information obtained from image recognition is subsequently imported into the team independently developed software GeoSMA-3D, which is useful for determining tunnel grade. |
| format | Article |
| id | doaj-art-efe8d7aad6934f60866d31a18d90ace0 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-efe8d7aad6934f60866d31a18d90ace02025-02-03T06:07:43ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/88464428846442Automatic Identification and Location of Tunnel Lining CracksPengyu Wang0Shuhong Wang1Alipujiang Jierula2School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaSchool of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaSchool of Resources and Civil Engineering, Northeastern University, Shenyang 110819, ChinaThe lining crack is common for the tunnel in the stage of operation, which has seriously influenced the service life and safety of tunnel engineering. It is a new trend to use computer vision to detect tunnel cracks over the past few years in China and foreign countries. By image processing technology and intelligent algorithm, the computer has a hominine visual perception system which understands, analyzes, and determines input image information, thus recognizing and detecting specific objectives. However, the effect of image recognition for tunnel crack now cannot satisfy the demands of practical engineering. SSD algorithm has been used when analyzing features of lining surface image, while comparison analysis has been made from image recognition results, error rate, and running time. The results indicate that the SSD algorithm can accurately and rapidly detect and mark the position of the tunnel crack. The tunnel information obtained from image recognition is subsequently imported into the team independently developed software GeoSMA-3D, which is useful for determining tunnel grade.http://dx.doi.org/10.1155/2021/8846442 |
| spellingShingle | Pengyu Wang Shuhong Wang Alipujiang Jierula Automatic Identification and Location of Tunnel Lining Cracks Advances in Civil Engineering |
| title | Automatic Identification and Location of Tunnel Lining Cracks |
| title_full | Automatic Identification and Location of Tunnel Lining Cracks |
| title_fullStr | Automatic Identification and Location of Tunnel Lining Cracks |
| title_full_unstemmed | Automatic Identification and Location of Tunnel Lining Cracks |
| title_short | Automatic Identification and Location of Tunnel Lining Cracks |
| title_sort | automatic identification and location of tunnel lining cracks |
| url | http://dx.doi.org/10.1155/2021/8846442 |
| work_keys_str_mv | AT pengyuwang automaticidentificationandlocationoftunnelliningcracks AT shuhongwang automaticidentificationandlocationoftunnelliningcracks AT alipujiangjierula automaticidentificationandlocationoftunnelliningcracks |