Daet AirWatch: A Framework for Measuring and Visualizing Air Pollution Levels in Daet, Camarines Norte

Abstract

Air pollution presents serious threats to public health and the environment, thus, effective techniques for mitigation and monitoring are required. In this study a comprehensive framework that integrates low-cost sensors, GPS technology, and data processing using an Arduino Uno and an ESP8266 Wi-Fi module is presented to address air pollution. The proposed framework allow real-time collection of pollutant data, including (PM), (VOCs), (CO), and ozone, alongside location information, temperature, and humidity. The gathered data is subjected to thorough processing, which includes converting sensor output values and calibrating and normalizing raw sensor readings. Moreover, the framework includes algorithms for translating pollutant concentrations into Air Quality Index (AQI) values, giving standardized metrics for evaluating air quality levels. The data is processed and then sent to an MQTT Broker for quick sharing of information and alerting about dangerous conditions. Additionally, the platform includes a user-friendly interface that displays pollution data on a web map, improving transparency and community awareness. By utilizing its effective data collection, processing, and visualization features, the suggested framework seeks to enhance public health results by giving people and communities the ability to make informed choices and take proactive steps to reduce air pollution dangers.