Real-time GPS Positioning
Precisely Tracking UAV Movements: The remotely managed GNSS
detection system for permanent UAV control provides high-precision
GPS positioning. No matter how far the UAV flies, the system can
track its position in real time via satellite signals. The system
uses a high-performance GNSS receiver with strong anti-interference
capabilities, ensuring accurate acquisition of UAV positioning
information even in complex environments. Thus, whether the UAV is
flying among urban buildings, in open fields, or in remote
mountainous areas, the system can accurately locate it and transmit
flight data in real time, greatly improving the reliability of UAV
control and monitoring.
Technical Parameters
| Parameter | Value | Description |
|---|
| Interference Frequency Band | 2.4GHz / 5.8GHz / 900MHz / 800MHz / GNSS |
|
| Interference Distance | 1-3000 meters | (depending on the local electromagnetic environment) |
| Interference Angle | 360° horizontally, 90° vertically |
|
| Target | Flight control link, navigation signal |
|
| Response Speed | ≤ 2.5 seconds |
|
| Countermeasures | Directional/omnidirectional sector strike | freely combinable |
Effective Heat Dissipation
Stable Operation Under High Load: This system is equipped with an
advanced heat dissipation design, enabling it to maintain stability
under high load conditions. Whether working continuously for
extended periods or operating in extreme weather conditions, the
system's heat dissipation mechanism effectively dissipates heat,
preventing overheating and performance degradation. The heat
dissipation module uses a high-efficiency copper pipe and cooling
fan design, ensuring stable operation under high power loads,
extending the equipment's lifespan, and preventing overheating from
affecting system reliability and accuracy.
Multi-level User Access Control
Ensuring System Security: To ensure system security, the GNSS
detection system is equipped with multi-level user access control.
System administrators can set different permissions for different
users, ensuring that only authorized users can operate and modify
system settings. This granular user access control not only
improves system security but also effectively prevents unauthorized
personnel from interfering with or tampering with data.
Furthermore, the system supports multi-factor authentication,
further enhancing its protection capabilities and ensuring that UAV
control and monitoring are not subject to malicious external
attacks or abuse.
Self-Learning Capability
Optimizing Operations Based on Historical Data: This GNSS detection
system possesses a self-learning capability, allowing it to analyze
and optimize based on historical data. During long-term operation,
the system automatically collects flight data, identifying and
predicting UAV flight trends and patterns. Through continuous
learning and adjustment, the system can improve its response speed
and accuracy to UAV behavior and optimize flight control
strategies. In addition, the system assesses potential risks based
on historical data and takes corresponding preventative measures in
advance, improving safety and efficiency during flight.
