2024/08/01 by Ofomaja, K. A., Azi, O. S.
#BME280 sensor #Corlysis #Grafana #Raspberry pi 4 #python 3.7.3 code
paper · doi:10.60787/jnamp.v67i2.369
This study focuses on the creation of a real-time environmental monitoring system that measures pressure, temperature, and humidity, critical parameters in the context of climate change. Utilizing a Raspberry Pi 4 and a BME280 sensor, the system collects data every two seconds and displays it graphically. The implementation employs Python code on the Raspbian platform. The collected data is transmitted to the cloud via Corlysis, making it accessible online through devices like personal computers or smartphones. Local data visualization is achieved using Matplotlib, while online visualization is facilitated by Grafana. The data is stored in the Corlysis database, ensuring easy access and integration into the Internet of Things (IoT) ecosystem. This system is particularly valuable for both calibration purposes and research, providing high-frequency, real-time data both locally and remotely.