Design and Implementation of an IoT Weather Station : Installation at Novia University of Applied Sciences, Finland
Iglesias Cabello, Ariadna (2025)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025061022243
https://urn.fi/URN:NBN:fi:amk-2025061022243
Tiivistelmä
The development of an affordable, Internet of Things-based weather station for real-time environmental monitoring is the focus of this thesis. The need for more affordable alternatives is highlighted by the fact that traditional weather monitoring systems can be highly expensive and frequently impractical for smaller projects or educational settings.
The developed system tracks temperature, humidity, atmospheric pressure, wind speed, and wind direction by combining an Arduino Nano 33 IoT with various sensors, such as the FS400-SHT3X, BMP180, and DAVIS 6410. The station was installed on the roof of the W33 building at Novia University of Applied Sciences. It operates autonomously without the need for outside supervision and transmits real-time data to an MQTT broker via Wi-Fi.
The station successfully collected continuous environmental data during a pilot test that ran from May 8-10th 2025. It was found that the system accurately captured actual trends when compared with its readings with the official measurements from the FMI station in Vaasa. The placement and exposure of the sensors were the primary causes of the slight variations in precision.
In conclusion, this project showed that it is completely feasible to construct an IoT-based weather station that is both dependable and functional using reasonably priced parts. In the future, it is necessary to work on building a web-based data interface, optimizing the sensor layout, strengthening resilience with watchdog timers, and designing a custom PCB.
The developed system tracks temperature, humidity, atmospheric pressure, wind speed, and wind direction by combining an Arduino Nano 33 IoT with various sensors, such as the FS400-SHT3X, BMP180, and DAVIS 6410. The station was installed on the roof of the W33 building at Novia University of Applied Sciences. It operates autonomously without the need for outside supervision and transmits real-time data to an MQTT broker via Wi-Fi.
The station successfully collected continuous environmental data during a pilot test that ran from May 8-10th 2025. It was found that the system accurately captured actual trends when compared with its readings with the official measurements from the FMI station in Vaasa. The placement and exposure of the sensors were the primary causes of the slight variations in precision.
In conclusion, this project showed that it is completely feasible to construct an IoT-based weather station that is both dependable and functional using reasonably priced parts. In the future, it is necessary to work on building a web-based data interface, optimizing the sensor layout, strengthening resilience with watchdog timers, and designing a custom PCB.