ADVANCE POLLUTION MONITORING SYSTEM WITH HEALTH CRITICAL GAS INDEXING USING IOT

Abstract

The rise of urbanization and industrialization has led to an increase in pollution, posing serious risks to human health and the environment. Consequently, the development of advanced pollution monitoring systems has become crucial for efficient pollution control and management. This abstract introduces a cutting-edge pollution monitoring system based on the Internet of Things (IoT), which incorporates health critical gas indexing to provide real-time and precise information about air quality. The proposed system utilizes IoT technology to create a network of interconnected sensors installed in various locations within cities or industrial areas. These sensors are designed to measure the concentration of pollutants such as carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), particulate matter (PM2.5 and PM10), and ozone (O3) in the surrounding air. The collected data is wirelessly transmitted to a central monitoring station for analysis and visualization. To assess the health risks associated with measured pollutant levels, a health critical gas indexing algorithm is employed. This algorithm considers pollutant concentrations and their corresponding health effects based on established air quality guidelines and standards, calculating an index value that indicates the overall health impact on the exposed population. The monitoring system provides real-time updates and alerts to relevant stakeholders, including government authorities, environmental agencies, and the public. Accessible through a userfriendly web or mobile application, the data and index values empower users to make informed decisions regarding outdoor activities, pollution mitigation measures, and health precautions. Compared to traditional monitoring approaches, the IoT-based advance pollution monitoring system with health critical gas indexing offers several advantages. It provides a comprehensive and accurate assessment of air quality by considering the specific health risks posed by different pollutants. Its real-time nature enables prompt actions and interventions to mitigate pollution levels, safeguarding public health and the environment. Furthermore, the availability of data empowers policymakers and researchers to analyze trends, identify pollution sources, and develop targeted pollution control strategies. In conclusion, the proposed IoT-based advance pollution monitoring system with health critical gas indexing represents a significant advancement in pollution monitoring and management. By leveraging IoT technology and incorporating health-related considerations, the system enables effective and proactive pollution control measures, leading to improved air quality and overall well-being of the population.