XF502 Drone Anemometer | Mini UAV Meteorological Sensor For Wind Monitoring

XF502 Drone Anemometer | Mini UAV Meteorological Sensor For Wind Monitoring

Details
Unlike traditional weather monitoring equipment, which is often too large or heavy for airborne applications, the XF502 focuses on lightweight integration, low power consumption, and minimal flight impact. With an integrated structure, small size, and low wind resistance design, this UAV weather sensor can be easily installed on different types of drones and aerial platforms.
Category
Weather Sensors
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Description
Technical Parameters

The XF502 drone weather station adopts advanced ultrasonic measurement technology without mechanical moving parts, which improves durability and reduces maintenance requirements. It can measure wind speeds up to 50 m/s and provide stable wind monitoring data for UAV flight control systems, environmental monitoring missions, and other aerial applications. The sensor weighs only about 55g and has a compact diameter of 50mm, making it suitable for applications where payload and space are limited.

Lightweight UAV Weather Sensor with Easy Integration

Weight and size are critical factors when installing sensors on drones. Additional payload can directly affect flight endurance, stability, and operational efficiency. The XF502 UAV meteorological sensor is designed specifically to solve this challenge by combining a compact structure with reliable measurement performance.

The sensor features a lightweight body, measuring only 50mm in diameter and 65mm in height. Its compact design reduces aerodynamic impact during flight while maintaining accurate wind speed and wind direction monitoring. The XF502 supports both top-mounted and bottom-mounted installation methods, allowing flexible integration according to different UAV structures and application requirements.

The low-power design also makes it suitable for long-duration drone missions. Operating with a 5–12V DC power supply and approximately 10mA power consumption, the sensor helps reduce energy consumption while maintaining continuous environmental data collection.

UAV-borne weather instrument

Accurate Wind Speed and Wind Direction Measurement for Drones

Wind conditions directly influence UAV flight stability, route planning, and operational safety. Real-time wind information allows drone systems to better understand surrounding atmospheric conditions and improve flight decision-making.

The XF502 drone weather sensor is designed for professional wind monitoring applications, measuring wind speed from 0 to 50 m/s with an accuracy of ±0.5 m/s at 10 m/s. It also measures wind direction from 0 to 359° with an accuracy of ±5° at 10 m/s, providing reliable atmospheric data for UAV platforms.

By integrating wind speed and wind direction monitoring into a compact UAV sensor, the XF502 provides an efficient solution for applications that require real-time aerial weather information, including drone inspection, environmental surveys, agricultural UAV operations, and atmospheric research.

Drone Anemometer

Applications of XF502 Drone Meteorological Sensor

The XF502 mini meteorological sensor is widely used in scenarios where drones require accurate wind condition monitoring without increasing excessive payload.

In agricultural drone applications, real-time wind data helps operators evaluate flight conditions before and during spraying operations, improving operational accuracy and efficiency. In environmental monitoring projects, UAV platforms equipped with compact weather sensors can collect atmospheric information from locations that are difficult to access with traditional monitoring equipment.

For power line inspection, forest monitoring, emergency response, and scientific research, the XF502 provides essential wind information to support safer and more efficient drone operations. Its compact structure and reliable performance make it suitable for various UAV environmental monitoring systems.

Lightweight UAV Weather Sensor

Reliable Communication and Simple System Integration

The XF502 drone weather station supports RS485 digital output and Modbus communication protocol, allowing convenient connection with UAV control systems, data acquisition equipment, and industrial monitoring platforms.

With configurable baud rates from 2400 to 115200, the sensor can adapt to different system requirements. The Modbus RTU communication protocol enables efficient data transmission and makes integration easier for engineers developing customized drone solutions.

The sensor also provides free PC testing software, helping users quickly check measurement data and complete system debugging during installation and development.

Drone Weather Station

XF502 Technical Specifications

Monitoring parameters

Measurement range

Accuracy

Resolution

Wind speed

0~50m/s

±0.5M/S (@10m/s)

0.01m/s

Wind direction

0-359°

±5° (@10m/s)

0.1°

Instrument diameter

50mm

Instrument height

65mm

Instrument weight

55g

Digital output

RS485

baud rate

2400-115200

Communication Protocol

ModBus, ASCII

Operating temperature/humidity

-20℃~+60℃

Power requirements

VDC: 5-12V; 10mA

Installation method

Top-mounted or bottom-mounted installation of the aircraft

FAQ About XF502 UAV Weather Station

What is a drone weather station?

A drone weather station is a compact meteorological sensor designed to collect atmospheric data during UAV flights. Compared with traditional weather stations, it is optimized for lightweight installation, low power consumption, and airborne operation.

What parameters can XF502 measure?

The XF502 measures two important meteorological parameters: wind speed and wind direction.

Can XF502 be installed on different drones?

Yes. The XF502 supports both top-mounted and bottom-mounted installation methods, making it compatible with different UAV structures and customized aerial platforms.

Does XF502 support data communication with flight systems?

Yes. The sensor supports RS485 output and Modbus communication protocols, allowing integration with various industrial control and data acquisition systems.

 

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