Linear Calibration Modeling of BME280 Sensor for Accurate Environmental Data Acquisition
Hadi, Octavianus Cakra Sayta, Hadir Kaban, Rendy Apriansyah, Aflonita Suhana

Department of Physics, Faculty of Mathematics and Natural Sciences, Sriwijaya University Indonesia

Abstract

Environmental monitoring systems require accurate measurements of temperature, humidity, and air pressure to support reliable data analysis and decision-making. The BME280 sensor, developed by Bosch Sensortec, is widely used in Internet of Things (IoT) applications due to its compact design and low power consumption. However, sensor readings may drift over time, necessitating calibration to ensure validity. This study presents a linear calibration modeling approach for the BME280 sensor integrated with NodeMCU ESP32 and a P10 display panel. Calibration was performed by comparing sensor outputs with reference instruments, followed by regression-based correction modeling. Results demonstrated high accuracy: 98.24% for temperature, 98.37% for humidity, and 99.91% for air pressure, alongside excellent precision and low bias values. The findings confirm that linear calibration modeling significantly enhances the reliability of BME280-based environmental monitoring systems.

Keywords: Environmental monitoring, BME280 sensor, Calibration modeling, NodeMCU ESP32, Regression-based correction

Topic: Physics and Applied Physics