Runway Lighting and Ground Marking Paint Inspection Robot
Scenario record: it defines the environment, the mission flow and a proposed hardware and software configuration. The list below is a configuration proposal, not an installation inventory. Field projects lists deployed systems and their measurements.
- Environment
- Indoor, public area
- Operating mode
- Supervised autonomy
- Proposed robot
- Unitree AS2
The problem addressed
Pilot visibility errors caused by faded runway marking paint and late detection of lighting failures.
Draft mission flow
- 1Gece operasyonsuz saatlerde pistin kenarında yüksek hızda ilerleyerek yer işaret boyalarını multispektral kamerayla tarar.
- 2Solmuş, aşınmış veya lastik izleriyle kaplanmış orta hat çizgisi, eşik işaretleri ve taksiyolu çizgileri haritalanır.
- 3Pist kenar ve yaklaşma ışıklarının parlaklığı Lux ölçerle ölçülür; sönmüş veya dimlenmiş armatürler raporlanır.
Proposed hardware
- HD Alt Bakış Kamerası
- Lux Ölçer (Aydınlatma Sensörü)
- Multispektral Kamera
- RTK GPS
Proposed software
- Navigation
- Pist kenar çizgilerini takip eden tekerlekli yüksek hızlı otonom tarama
- Model
- Pist Boyası Solma/Silinme Segmentasyonu ve Pist Işık Arızası Parlaklık Analizi
- Integration
- Havalimanı Bakım Yönetim Sistemi ve SHGM Denetim Portali
The robot's real operating limits
Unitree AS2
Industrial Capacity in a Compact Chassis
Product page- Ingress rating
- IP54
- Runtime
- >4 hours (No load)
- Operating temperature
- -20°C to 50°C
- Payload
- Up to 65 kg
- Max speed
- >5 m/s
- Climb
- 40°
Values are manufacturer data. Scenario fit is determined by comparing these limits with site conditions.
From scenario to installation
Feasibility is determined by the site survey: floor and route, network coverage, the charging point, intervention responsibilities and the conditions under which the robot must stop. The survey report defines the scope, the constraints and the commissioning steps.