DESIGN AND DEVELOPMENT OF A SMART IOT-BASED AIR QUALITY MONITORING SYSTEM WITH MOBILE APPLICATION INTERFACE

Abstract

the climate change and variations in environmental conditions such as temperature, humidity and air quality have increased considerably in recent years. With the advancement of smart technologies and the growing need for real-time, data-driven decision-making, there is a strong demand for automated environmental monitoring systems. Continuous monitoring and representation of environmental data are crucial for safety of humans and environment. This need is addressed by the proposed system which is designed and implemented as an Internet of Things (IoT) based air quality and smoke detection system with mobile application interface. An ESP32 microcontroller is used to monitor the environmental conditions continuously with the help of DHT11 temperature and humidity sensor, MQ-2 gas sensor and MQ-135 gas sensor. The chosen components are affordable and small, allowing for reliable deployment. Processed data is shown locally on an OLED screen for on-site monitoring and at the same time uploaded to the cloud platform ThingSpeak for storage and remote access. A Flask based web application receives the data and uses the threshold-based classification to show safe and hazardous environmental conditions in an interactive dashboard. Moreover, RESTful API integration can help to communicate with a mobile application, which means that the remote monitoring can be done in real-time from anywhere. System evaluation shows that manual supervision needs are reduced and real-time visualization of environmental conditions is effective. The proposed system is overall low cost, scalable and efficient for smart environmental monitoring applications.