| I&T Solution |
Tunnel condition monitoring solution
(REF : S-1171)
|
| Trial Project |
|
| Solution Feature |
- Quasi-Fixed Scenario Defect Detection
- Prediction of long-term defect dynamic development trend
- High-speed photography
- Auxiliary light source synchronizes image acquisition and processing, and builds a special defect training set (library)
- Defect identification, classification, localization and parameter calculation based on deep learning, neural network, computer vision and other algorithms
|
| Trial Application and Expected Outcome |
- Install cameras, lidars and other acquisition equipment on the train to collect raw data, and then process and analyze the collected data
- Using related algorithms such as tunnel anomaly detection and lidar 3D reconstruction, the monitoring results and the tunnel 3D model are finally given
- Utilize 5G wireless communication technology to transmit to back-end server
- Data analysis and visualization using big data platform
- Utilize inspection robots for further auxiliary inspection and verification
|
| Additional Solution Information |
隧道状况监测方案v2.0.2.pdf
|
| Info on I&T Solution Provider |
| Solution Provider | : | HONG KONG ZI WAI TECHNOLOGY LIMITED |
| Address | : | Room 1002, 10/F., Fu Fai Commercial Centre, 27 Hillier Street, Sheung Wan, HK |
| Contact Person | : | Zhang Yong Qiang |
|
Position | : | General manager
|
|
Tel | : |
53054398
|
|
Email | : |
hkziwai@gmail.com
|
|
