| Title | Preliminary Exploration of the Feasibility of Applying Ground Penetrating Radar to Provincial Highways Maintenance Inspection and AI Intelligent Recognition |
| Dept | Transportation Technology Research Center |
| Year | 2024 |
| Month | 3 |
| Price | 200 |
| Summary | The maintenance inspection of the general flexible pavement of provincial highways, currently whether regular daily inspections or special inspections, are mainly based on visual inspection. Visual inspection can only discover the surface condition of the road pavement, and then repair the damaged pavement. However, the damage to the road pavement often comes from problems occurring below the road (poor subgrade, subbase materials, or being hollowed out for some reason, groundwater impact, etc.), therefore, it often happens that the repaired pavement is damaged again. And ‘special inspections’ usually adopt destructive on-site excavation methods to investigate frequently or repeatedly damaged sections, but because on-site excavation is limited to only single point and shallow excavation, it often fails to detect the cause of pavement damage. Therefore, it is suggested that ‘special inspection’ should use ground penetrating radar for detection, which can carry out non-destructive testing for different depths in a surface (large area carpet style) manner. Compared with on-site excavation, it can be more rapid, safe, low-risk, energy-saving, carbon-reducing and less polluting, and more accurately and effectively detect the cause of frequent or repeated section pavement damage. Both the Highway Bureau and academic experts interviewed in this project hold positive views on the feasibility of developing an AI recognition system to identify ground penetrating radar signal images. However, before developing AI recognition, it is necessary to establish a relevant database, especially localized data. How to collect sufficient and accurate data is a key issue. Benefits of Research Results: 1. Complete the feasibility assessment of applying ground penetrating radar to provincial highway maintenance inspections. 2. Complete the feasibility assessment of AI intelligent recognition of ground penetrating radar signal images. Application Availability: 1. Provide application references for road maintenance inspections to the Highway Bureau, the Freeway Bureau, and local government road management agencies. 2. Provide applications for subsequent studies related to ground penetrating radar and artificial intelligence recognition conducted by our institute. |
| Post date | 2024/03/27 |
View count:
111