INDUSTRY POLLUTION CONTROL USING AI - CO2, METHANE

Computer Science and Engineering

The troposphere is the part of the atmosphere closest to the earth. Humans and animals live here, and it is also where the majority of biological activity occurs. Air pollution is caused by poisonous gases, smoke, fumes, smog, and other contaminants and these contaminants are mostly from the factories and industries that emit harmful gases. Though we could not stop these fumes coming out of the vent, we could purify the harmful gases coming out which would reduce its harmful effect on the environment. So we proposed a solution where the main objective would be monitoring the pollution and where the outlet would be connected to a chamber where the purification of the gases take place with the help of number of sensors, filters and purification unit. This purified gas could be thereby reused by the industries and for other purposes. The hardware being used would be chamber, sensors, filters, purification unit. We also make use of machine learning in order to predict if the gas is crossing the permitted threshold of harmfulness by the means of concentration of the substances. We make use of cloud to store the data of the respective gases to process it in further steps being carried out. This project is helpful to recycle and reuse the gas thereby contributing to lessen the air pollution. The suggested technology reduces pollution in the atmosphere while also maintaining a pollution-free environment. This proposed method involves a government-approved person automatically monitoring pollutants from industry. If industrial pollution falls below the permitted threshold, a notification call and message will be sent to the appropriate government official, who will then take the necessary action. This proposed method cleans industrial contaminants before repurposing them for domestic and industrial usage. Because industry pollutes the environment more, this system offers consumers with certain control methods.

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