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Airborne Four-in-One Ultraviolet Detection Payload RK-ZH2090


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Product Details

  • Product Description
  • The airborne four-in-one ultraviolet detection payload RK-ZH2090 is a UAV payload integrating visible light, infrared, and ultraviolet laser ranging. It simultaneously collects information such as abnormal electrical discharge, abnormal heat, and high-definition surface images of electrical equipment by overlaying and fusing ultraviolet detection with visible light and infrared images. This allows for precise localization of discharge location and intensity, enabling live, energized inspection. Utilizing a French PHOTONIS solar-blind ultraviolet core, it achieves high-sensitivity single-photon detection in the solar-blind region. Through algorithm overlay and fusion, it ensures the consistency of photon counts, enabling quantitative analysis of equipment defects. It supports various aircraft and monitoring platforms through an SDK development platform. It can be applied to the power system, new energy, rail transit, and communication industries.

    Product Features

    Multispectral: Supports visible light, infrared thermal imaging, and ultraviolet detection overlay fusion for precise positioning

    Real-time: Ambient temperature and humidity, detection distance, infrared temperature measurement, and photon values are calculated synchronously

    Sensitivity: Uses imported PHOTONIS (France) core components to achieve high-sensitivity single-photon detection

    Lightweight: Smaller core size, high integration, reduces UAV payload

    Technical Parameters

    Solar-Blind Ultraviolet Camera

    Resolution

    1280x720

    Field of View

    24°x20°

    Wavelength Range

    240-280nm

    Sensitivity

    <1x10⁻¹⁸ W/cm²

    Global Thermometry Infrared Camera

    Resolution

    640x512

    Field of View

    45.8°x37.3°

    Wavelength Range

    7.5-14um

    Spatial Resolution

    1.32mrad

    Focal Length

    9mm

    Pixel Pitch

    12um

    Variable Zoom Visible Light Camera

    Resolution

    8000x6000

    Effective Pixels

    48 million

    Field of View

    9°-52°

    Optical Zoom

    10x

    ToF Laser Rangefinder

    Detection Distance

    1-100m

    Wavelength

    900nm

    Other Parameters

    Gimbal

    DJIX-Port

    Thermometer and Hygrometer

    Built-in

    Weight

    1.05kg

    Protection Level

    IP45

    Power Consumption

    11W

    Computing Power

    6.0T

    Supported Models

    M300RTK/M350RTK

    Environmental Applicability

    Stable operation under strong electromagnetic interference

     

AI-assisted photography for autonomous drone inspection

This system integrates AI edge computing, lightweight and pruning optimization of network AI models, automatic camera control, intelligent sensing exposure, and AR technologies into an edge computing intelligent system. It is a suite of auxiliary tools for autonomous drone inspection tasks. Without changing existing drone equipment, flight path results, inspection APP operation processes, and usage habits, it can be quickly and easily integrated into existing APP software, enabling real-time flight path AR inspection, high-precision AI-assisted image capture, automatic control of gimbal cameras, and intelligent sensing exposure functions. It is compatible with all DJI industry RTK models and 35kV-1000kV voltage level line inspections.

1. AR inspection of autonomous drone inspection routes; built-in AR augmented reality technology, real-time display of the spatial relationship between the route and the towers.

2. AI-assisted photography technology service for real-time target recognition during autonomous drone inspection; supports real-time target detection application scenarios and can perform high-precision identification of typical power targets such as cross-arm hanging points, insulator strings, conductor hanging points, and ground wire hanging points.

3. Automatic zoom and autofocus of the inspection targets during autonomous drone inspection.

4. Real-time scene judgment capability at the front end of autonomous drone inspection and intelligent exposure compensation.

Intelligent Management Platform

The RK-MP autonomous drone inspection and control platform is a data control, AI image recognition, and big data value mining application system specifically designed for drones and nest inspections. It is mainly used for intelligent operation and maintenance of drones and nests, achieving systematization and intelligence on the platform. Through three-dimensional visualization and full-process control, it realizes the interconnection of data between the field and the backend, forming a complete closed loop for drone inspection work, improving inspection efficiency, improving data analysis efficiency, enhancing data control application levels, and achieving standardized management of results.

Unifying the management of enterprise resources, operation and maintenance equipment, planned tasks, machine inspection results, and line defects, realizing real-time sharing and three-dimensional visualization of resource results, full life cycle management of equipment, and functions such as big data statistical analysis and early warning; the platform, together with the flight control module and nest control module, constitutes a complete operation and maintenance solution, integrating big data, artificial intelligence, the Internet of Things, and cloud computing technologies.

 

Drone Product Series

DJI M30T

M300 Drone Mobile Nest Vehicle

Drone Nest

Drone Photovoltaic Inspection System

Drone Wind Turbine Inspection System

Drone Power Line Inspection System

On-site Operation Demonstration

High-altitude Snow Mountain Operation

Mountainous Forest Land Operation

Mountainous Area Operation

Distribution Network Inspection

Gobi Desert Operation

Gobi Desert Operation

Forest Area Operation

Desert Operation