AN ADVANCED INTERNET OF THINGS (IOT) PLATFORM FOR REAL-TIME QUALITY OF AIR MONITORING & POLLUTION DETECTION WITH AN ESP DEVICE

Abstract

In cities, factories, and other enclosed spaces, air pollution poses a serious threat to ecosystems & human health. Inhalation of toxic gases such as carbon monoxide, tobacco smoke, and others may lead to heart problems, respiratory issues, and other long-term health complications. Conventional air quality monitoring devices are too costly, too limited in their applicability, and too impractical for continuous localized monitoring. In response to these shortcomings, this study introduces a state-of-the-art Internet of Things (IoT) framework for real-time air quality monitoring & contamination detection via the use of an ESP device. To continually identify hazardous substances and analyze environmental pollution levels, the proposed system utilizes an ESP in combination with gas detection sensors based on the MQ-series, comprising MQ2, MQ3, and MQ135 variants. In order to ascertain the air purification state and to indicate potentially dangerous situations based on specified cutoff values, the controller analyzes the observed gas levels. In addition to a local LCD display, the device has an alarm buzzer and a cloud online service that allows remote monitoring air purity measures via dashboards and real-time graphs. When pollution levels rise over acceptable limits, the system notifies users both locally and remotely, allowing them to be prepared for potentially dangerous environmental situations. Residential air monitoring, industrial pollution monitors, public place protection, or intelligent city environmental tracking are just a few potential uses for the suggested platform's small size, low cost, and scalability.