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Rabi Arunachalam, Muthu Ganesan, Ayyappa Srinivasan M G
St.Mother Theresa Engineering College, Thoothukudi, India
Abstract
The four main types of pollution caused by industries are air pollution, water pollution, soil pollution, . Globalization and industrialization are throwing off untreated harmful and toxic elements into the atmosphere, which has led to the contamination of fundamental ecosystem elements like water, air, and soil that humans depend on for survival. This causes infections that can spread to humans and animals through the air and water. Controlling these pollutant characteristics is therefore quite difficult. The major goal of this project is to design an effective and reliable system to monitor the parameters that are creating pollution. This paper provides an industrial Internet of things (IoT) based air, water, and sound pollution monitoring system. This projects/systems working approach is to read and track pollution parameters, alerting pollution control authorities when any of these pollutants are released in excess of what is considered acceptable by the industry. Using a variety of sensors, including PH, MQ6, MQ9, temperature, humidity, noise, and dust density sensors, the system analyzes the amount of PH in industrial effluents, the level of CO, carbon dioxide, combustible gas, humidity in the air, and the minute optical dust particles released during industry processes. It also assesses the amount of sound produced by the industry. The system uses wireless technology (i.e., the Internet of Things) with a GPRS modem and cloud technologies to record the values of pollutants released at a specific date and time. It also notifies the environmental pollution monitoring authorities via email and SMS when there is an increase in emissions.
Keywords: Co, Mq6, Mq9, Iot, Gsm, Gprs, Dust Density Sensor, Cloud Technologies
Journal Name :
EPRA International Journal of Multidisciplinary Research (IJMR)

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Published on : 2024-03-30

Vol : 10
Issue : 3
Month : March
Year : 2024
Copyright © 2024 EPRA JOURNALS. All rights reserved
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