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UltraHive®MkY
Lightweight Drone Charging &
Docking Station
UltraHive® MkY is the flagship drone charging and docking station from Skysys. Developed by Skysys’ experienced R&D team with years of deep industry expertise, it features lightweight design, flexible deployment, and rapid takeoff/landing capabilities to better meet user needs. At the same time, its extremely high cost-effectiveness fundamentally reduces end users’ operating costs.
Weights
150kg
Protection Rating
IP56
Installation Method
4-point concrete anchoring
Dimensions
2850*900*665mm (Open) 1060*900*1110mm (Closed)
Drone Landing Accuracy
≤±10cm (at wind speed ≤5m/s)
Backup Battery
UPS backup time ≥4 hours
GNSS
GPS, BDS, GLONASS
Emergency Landing
Accuracy
≤±1.5m
Operating Temperatur
-20°C ~ 50°C
IP56 Protection Rating
Industrial-grade waterproof and dustproof design delivers superior environmental adaptability, enabling stable operation in complex outdoor conditions.
Lightweight Design
All-in-one integration of a weather station, surveillance camera, communication module, and environmental sensors. No additional wiring required—deploy and use immediately with flexible setup.
Centimeter-Level Precision Landing
Real-time visual camera recognition and positioning enables precision landing with a vertical accuracy of ±10cm, ensuring reliable automatic return-to-base performance.
Broad Compatibility
Deeply compatible with DJI Matrice M300 RTK, M350 RTK, and M400 series drones (with upward compatibility) to meet diverse operational needs.
30-Minute Ultra-Fast Charging
Automatically detects battery status and matches the optimal charging curve, supporting charging to 90% in just 30 minutes to maximize continuous operational efficiency.
All-Round Landing Guidance
Supports multi-sensor fusion landing systems including RTK and visual guidance. Intelligent supplementary lighting enables precision landing at night, ensuring all-weather operation.
One-Touch Autonomous Operation
Significantly reduces drone takeoff and landing times, enabling rapid response to urgent missions and truly unmanned, unattended operations.
Emergency Landing & Safety Protection
Equipped with an automatic fire suppression system and emergency landing mechanism, plus a UPS backup battery with ≥4 hours of runtime to ensure equipment and operational safety in extreme scenarios.
Functional Advantage
Grid Deployment
Users can deploy Docking Stations on a grid basis to achieve full coverage of the management area, and Drone can operate in a grid-based checkerboard fashion, selecting the nearest Docking Station to land, recharge automatically and go on to the next mission.
Five-minute Turnaround Time
Creating a five-minute Drone attendance circle, Drone takes off from the Docking Station within two minutes after receiving the command and arrives at the designated task site within three minutes to meet the emergency requirements
Remote Control and Scheduling in the Cloud
Managers in the command centre can plan routes and tasks for Drone through the remote scheduling system, can schedule Drone, complete remote control of Drone in the management area, and Drone will upload the collected data to the cloud.
Fully Automatic Flight
SkyCab Drone system, according to industry scenarios customised automatic flight algorithms, to achieve Drone autonomous take-off, autonomous inspection, accurate landing, without manual control, automatic flight operations, just through the WEB or PAD end of the set inspection, patrol routes, remote one-key flight operations.
4G/5G Communication Transmission
Real-time control of Drone flight trajectory, flight area and gimbal angle through 4G/5G network connection, etc. 5G network has low latency, large bandwidth, accurate positioning, and is not limited by distance.
AI Recognition of Behaviour and Data Analytics
When Drone receives the task, it automatically searches for the inspection target, locks it and shoots the forensic evidence through the mounted gimbal. When the cloud diagnoses that the inspection target may have defects, Drone automatically adjusts the trajectory to shoot from multiple angles, realising real-time image identification and analysis in the cloud.
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