Tianqiong Sensor IOT Technology Co., Ltd
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China

Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China

Model:FT-WJN10
Brand:tianqiong
1、Forward Scatter Visibility Sensor Product Introduction
Forward Scatter Visibility Sensor is a sensor for measuring atmospheric visibility, providing the best visibility measurement accuracy in all weather conditions.Forward Scatter Visibility Sensor is designed for monitoring and collecting visibility and other meteorological data during flight of unmanned aerial vehicles (UAVs) or small unmanned inspection aircraft.
It features a compact design and uses the forward scattering method to detect atmospheric visibility, operating normally at altitudes of up to 4000 meters and temperatures as low as -20 degrees Celsius.
It has a flat, low-drag design and is mounted on the belly of the aircraft. Users can choose between ABS and aluminum alloy shell materials, and can also opt to install temperature, humidity, and barometric pressure sensors.
Forward Scatter Visibility Sensor consumes only 0.9 watts, making it ideal for small UAV platforms for low-altitude meteorological element inspection.
2、Forward Scatter Visibility Sensor Dimensions and Weight
Visibility Dimensions: 174mm*85mm*35mm
Weight (ABS material): 300g
Weight (Aluminum alloy material): 580g
3、Forward Scatter Visibility Sensor Main Technical Parameters
Detection Range: 10-10000 meters
Measurement Accuracy: ±10%
Light Source: IR LED
Data Update: 1 second
Digital Output: RS485
Optional Parameters: Temperature, Humidity, Air Pressure
Operating Temperature: -20–50°C
Operating Humidity: 0–95%
Power Supply: DC 12V
Power Consumption: 0.9W
The Portable Weather Station is a lightweight monitoring device that integrates the functions of meteorological data observation, recording, and analysis. Its core positioning is to meet the meteorological monitoring needs in various mobile scenarios and emergency situations. With practicality and c...
Meteorological disasters often cause severe losses to agriculture. Among the numerous agrometeorological disasters, drought, flood, frost, and dry-hot wind are relatively common.Drought is a disaster caused by long-term lack of rain or little rain, which leads to soil water shortage and dry air, res...
The water quality online monitoring micro-station integrates units for water sampling and distribution, analysis, and quality control. Core parameters—including total phosphorus, total nitrogen, chemical oxygen demand (COD), permanganate index, and ammonia nitrogen—are determined in strict a...
Wheat seedling conditions are usually classified into strong seedlings, robust seedlings (including first - class and second - class seedlings), and weak seedlings (third - class seedlings). For different seedling conditions, differential management measures need to be taken during key growth stages...