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A mechanism for detecting and evaluating the presence of harmful substances in the Atmosphere

Dr. Harish Joshi, Prof. Ashok Bawge, Prof Uzma Kausar, Aishwarya Prabha, Priyanka Ratkale

Abstract


Air pollution has emerged as a critical global health and environmental issue, leading to millions of premature deaths annually due to diseases such as respiratory and cardiovascular disorders. Traditional air quality monitoring systems, often centralized and costly, are insufficient to provide real-time, localized data necessary for effective public health interventions and policy-making. To address this gap, the development of an Air Pollution Monitoring System (APMS) leveraging Internet of Things (IoT) technologies offers a scalable and cost-effective solution. This system utilizes a network of wireless sensor nodes equipped with sensors like MQ-135 for detecting gases such as carbon monoxide (CO), carbon dioxide (CO₂), and ammonia (NH₃), and DHT11 for measuring temperature and humidity. These sensors transmit real-time data to a cloud-based platform via communication protocols, enabling continuous monitoring and analysis. The integration of IoT facilitates remote access to air quality data through user-friendly interfaces on smartphones or computers, allowing users to monitor environmental conditions in real-time. The proposed APMS aims to enhance public awareness of air quality issues, support informed decision-making, and contribute to the development of smart city infrastructures. By providing timely and localized air quality information, the system empowers communities to take proactive measures to mitigate exposure to harmful pollutants, thereby improving public health outcomes. In conclusion, the implementation of an IoT-based Air Pollution Monitoring System represents a significant advancement in environmental monitoring, offering a practical and efficient approach to address the challenges posed by air pollution in urban settings.


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