INTERNET OF THINGS ENABLED SMART ENVIRONMENTAL MONITORING SYSTEM BASED ON THE ESPRESSIF SYSTEM 32 MICROCONTROLLER

Abstract

This study presents the development of a low-cost, real-time environmental monitoring system leveraging the Internet of Things (IoT) paradigm. The proposed solution integrates readily available and economical hardware components and open-source software platforms. At the core of the system is an ESP32 microcontroller equipped with sensors capable of measuring air, temperature, relative humidity, atmospheric pressure and particulate matter concentration. The sensor data is collected and processed by the microcontroller, which transmits it wirelessly to the Thing Speak IoT cloud platform. ThingSpeak provides a user-friendly interface for data visualization, remote monitoring and control. The cloud-based architecture enables accessing environmental data from any internetconnected device, facilitating real-time monitoring over a wide geographic area. The developed system exhibits low power consumption, making it suitable for battery-operated deployments. Initial testing of the prototype was conducted by deploying it alongside a commercial environmental monitoring station, demonstrating its feasibility and potential for scalable implementation in various domains such as smart cities, precision agriculture and industrial process monitoring. The proposed approach offers a flexible and cost effective solution for environmental sensing and monitoring applications.