Campus Weather Station by Fengtu Technology

Fengtu Technology's Campus Weather Station is an integrated system combining data monitoring, display, and educational platform. It is not a complex professional device, but designed specifically for campus environments and teaching needs, featuring flexible deployment, intuitive observation, and simple operation. It aims to become the "weather steward" on campus.

Although the models and configurations of Fengtu's Campus Weather Station product series (such as FT-XQ2, FT-XQ3, FT-XQ4, etc.) vary, they are all built around teaching scenarios.

The equipment can monitor various meteorological elements related to campus life, including air temperature, humidity, wind speed, wind direction, rainfall, atmospheric pressure, and light intensity. Data is broadcast in real-time through a supporting large LED display, installed near playgrounds or teaching buildings for students to easily view during breaks.

Through hands-on experience with weather observation and data recording, abstract textbook knowledge can be transformed into tangible, perceptible phenomena, thereby stimulating students' curiosity about geography and natural sciences.

The equipment comes with a free cloud platform that students and teachers can access directly through computer or mobile browsers. The platform not only allows viewing of real-time data but also querying historical data, generating trend curves, and exporting data, providing data support for conducting simple meteorological research-based learning.

Product Series Overview

FT-XQ2 Campus Digital Weather Station - This compact product with flexible deployment is ideal for installation in space-constrained areas such as playground corners or teaching building rooftops, meeting basic campus weather monitoring and science popularization needs.

FT-XQ3 Educational Weather Station - This product offers more comprehensive basic monitoring functions with an emphasis on cost-effectiveness. Independently developed and produced by Fengtu Technology, it aims to provide accurate data support for teaching and scientific research.