Airfield Pavement Detection Robot

Full coverage detection for airfield pavement relying on the high-precision autonomous localization and navigation following the automatically planned route in the detection area. Electronic fence for operation can be set according to navigation situation report to conduct 360° full-range obstacle detection to ensure safe operation. The information management system based on in-depth study, multimodal data fusion and other data processing algorithms can assist data analysis to automatically generate an airfield pavement defect detection report. The robot operation and data management software system can conduct customized development and is compatible with the existing management system of airport, and can facilitate the preventive maintenance of airfield pavement to guarantee operation safety of airport.

Parameters

Dimensions: 1400mm×1300mm×800mm(customizable)
Weight: 400kg
Working speed: 0-20km/h
Gradeability: 10°
Positioning accuracy: 3-5cm
Way of operation: Autonomous operation + remote control
Way of drive:  independent drive
Way of power supply: Battery powered
Continuous working hours: 4-6h
Single inspection width: 1-1.8m
Detection depth: 100cm

Concealed engineering:
Layering thickness of structural layer: Precision 1cm
Sedimentation of reinforcing mesh, etc.
Internal foreign matter
Internal defect:
Internal disengagement, sedimentation, porosity,
high water content, etc. of concrete
Resolution ratio: Cross section≥15cm×15cm
Appearance defect:  
Quantitative statistics of cracks, pit slots,
corner rupture, etc.
Resolution ratio: 1mm

Introduction of Typical Application Scenarios

New pavement acceptance

Key node supervision in the construction process, full coverage detection of layered thickness in completion acceptance, defects of hidden works, timely detection of construction quality problems to ensure the quality and duration of project.

Detailed Survey before Repair of Airfield Pavement

The full coverage survey before repair design for airfield pavement can find out the causes and degree of pavement diseases and provide data support for the design of repair scheme.

Regular detection of pavement in use of airport

Regular full coverage detection of appearance defects (cracks, faulting of slab ends, etc.) and internal defects (separation, high water content, etc.), timely detection of hidden dangers to improve safety, predict the development trend of disease, and promote predictive maintenance.

Quality monitoring throughout the whole life of runway

Regular full coverage detection of runway quality from completion acceptance to get the big data of health conditions during the whole life of runway to provide data support for the design optimization and maintenance of runway.