IOT BASED AIR QUALITY MONITORING AND POISONOUS GAS DETECTION SYSTEM

The air contamination rates nowadays are radically expanding in all the nations which requires a financial effective solution. The proposed system includes the design for monitor Air Pollution parameter using the Arduino. The monitored values can be accessed from the IoT platform (Thingspeak). The air pollution parameters are taken from the gas sensors (DHT11, MQ7 and MQ135). The air pollution parameters include: Carbon Monoxide, and Nitrogen-Di-Oxide, Ammonia, Nitric Oxide. This acts as a warning to the authorities about the air pollution rate. A graph is plotted using the monitored values using Thing Speak platform. Rising amounts of toxic gases in the environment, it found that people are in need of a way to ensure the safety specifically to live those in cities. An approach is suggested in this project, that is economical yet affords good detection, and can give accurate readings that can be analysed and manipulated. These necessities are found in the Arduino UNO when it snared to the sensors. This project is mainly focused on dangerous gases such as Carbon Monoxide (CO), Nitric Oxide (NOx), Ammonia (NH3), Benzene and sulphide. The success with the Arduino give the accurate results in graph values to manipulate the data's