Raspberry Pi-Based IoT System for Grouting Void Detection in Tunnel Construction
This paper presents an IoT-based solution for detecting grouting voids in tunnel construction using the Raspberry Pi microcomputer. Voids between the primary and secondary tunnel linings can compromise structural integrity, and traditional methods like GPR lack continuous feedback. The proposed syst...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/14/11/3349 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850145679476785152 |
|---|---|
| author | Weibin Luo Junxing Zheng Yu Miao Lin Gao |
| author_facet | Weibin Luo Junxing Zheng Yu Miao Lin Gao |
| author_sort | Weibin Luo |
| collection | DOAJ |
| description | This paper presents an IoT-based solution for detecting grouting voids in tunnel construction using the Raspberry Pi microcomputer. Voids between the primary and secondary tunnel linings can compromise structural integrity, and traditional methods like GPR lack continuous feedback. The proposed system uses embedded electrical wires in the secondary lining to measure conductivity, with disruptions indicating unfilled voids. The Raspberry Pi monitors this in real time, uploading data to a cloud platform for engineer access via smartphone. Field tests were conducted in a full-scale, 600 m long tunnel to evaluate the system’s effectiveness. The tests demonstrated the system’s accuracy in detecting voids in various tunnel geometries, including straight sections, curves, and intersections. Using only the proposed void detection system, the largest void detected post-grouting was 1.8 cm, which is within acceptable limits and does not compromise the tunnel’s structural integrity or safety. The system proved to be a cost-effective and scalable solution for real-time monitoring during the grouting process, eliminating the need for continuous manual inspections. This study highlights the potential of IoT-based solutions in smart construction, providing a reliable and practical method for improving tunnel safety and operational efficiency during grouting operations. |
| format | Article |
| id | doaj-art-a15b7d6c1f3f43fe9540b7bc5ca0ac7c |
| institution | OA Journals |
| issn | 2075-5309 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-a15b7d6c1f3f43fe9540b7bc5ca0ac7c2025-08-20T02:28:03ZengMDPI AGBuildings2075-53092024-10-011411334910.3390/buildings14113349Raspberry Pi-Based IoT System for Grouting Void Detection in Tunnel ConstructionWeibin Luo0Junxing Zheng1Yu Miao2Lin Gao3Gansu Road & Bridge Construction Group Co., Ltd., Lanzhou 730030, ChinaSchool of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaThis paper presents an IoT-based solution for detecting grouting voids in tunnel construction using the Raspberry Pi microcomputer. Voids between the primary and secondary tunnel linings can compromise structural integrity, and traditional methods like GPR lack continuous feedback. The proposed system uses embedded electrical wires in the secondary lining to measure conductivity, with disruptions indicating unfilled voids. The Raspberry Pi monitors this in real time, uploading data to a cloud platform for engineer access via smartphone. Field tests were conducted in a full-scale, 600 m long tunnel to evaluate the system’s effectiveness. The tests demonstrated the system’s accuracy in detecting voids in various tunnel geometries, including straight sections, curves, and intersections. Using only the proposed void detection system, the largest void detected post-grouting was 1.8 cm, which is within acceptable limits and does not compromise the tunnel’s structural integrity or safety. The system proved to be a cost-effective and scalable solution for real-time monitoring during the grouting process, eliminating the need for continuous manual inspections. This study highlights the potential of IoT-based solutions in smart construction, providing a reliable and practical method for improving tunnel safety and operational efficiency during grouting operations.https://www.mdpi.com/2075-5309/14/11/3349tunnel second liningRaspberry Pismart detectionsmart constructionInternet of Things |
| spellingShingle | Weibin Luo Junxing Zheng Yu Miao Lin Gao Raspberry Pi-Based IoT System for Grouting Void Detection in Tunnel Construction Buildings tunnel second lining Raspberry Pi smart detection smart construction Internet of Things |
| title | Raspberry Pi-Based IoT System for Grouting Void Detection in Tunnel Construction |
| title_full | Raspberry Pi-Based IoT System for Grouting Void Detection in Tunnel Construction |
| title_fullStr | Raspberry Pi-Based IoT System for Grouting Void Detection in Tunnel Construction |
| title_full_unstemmed | Raspberry Pi-Based IoT System for Grouting Void Detection in Tunnel Construction |
| title_short | Raspberry Pi-Based IoT System for Grouting Void Detection in Tunnel Construction |
| title_sort | raspberry pi based iot system for grouting void detection in tunnel construction |
| topic | tunnel second lining Raspberry Pi smart detection smart construction Internet of Things |
| url | https://www.mdpi.com/2075-5309/14/11/3349 |
| work_keys_str_mv | AT weibinluo raspberrypibasediotsystemforgroutingvoiddetectionintunnelconstruction AT junxingzheng raspberrypibasediotsystemforgroutingvoiddetectionintunnelconstruction AT yumiao raspberrypibasediotsystemforgroutingvoiddetectionintunnelconstruction AT lingao raspberrypibasediotsystemforgroutingvoiddetectionintunnelconstruction |