Analysis and Monitoring Air Quality System using Raspberry PI

Air quality monitoring is extremely hard for people to feel or experience in order that the general public cannot decide whether air high-quality is good or terrible. With an evergrowing wide variety of industrial units and transport vehicles, the hassle of air and sound pollution is becoming severe by every passing day. To achieve this goal, some form of air and sound pollution tracking machine needs to be developed. To counter the hassle of air and sound pollutants tracking, we advocate a Raspberry Pi and IOT primarily based air and sound pollution monitoring machine project. To measure the air and noise pollutants degrees, the monitoring device employs a CO2 sensor, a methane sensor, and a microphone. The measured sensor information is then transmitted to a remote net server through a WI-FI connection. By effective monitoring of pollutants levels, measures may be taken to bring those levels down. Sensor module can analyze and decide the percentage of the toxic gases present in the surroundings and might immediately terminate the output protocol. Fuel sensors are used to acquire records from air and sent to Arduino IDE. The statistics is sent to cloud through Arduino IDE with the help of WI-FI module. Then the information accumulated may be transferred from one cloud to the person prescribed device so that the applicable air exceptional data can be accessed by way of the users.