AUTOMATRIC AIR QUALITY MONITORING SYSTEM
Azhagar Vijay PS1, Rohith MR2, Kiruba Shankar P3
1UG Scholar, Electrical and Electronics Engineering& Bannari Amman Institute of Technology
2 UG Scholar, Electrical and Electronics Engineering& Bannari Amman Institute of Technology
3 UG Scholar, Electrical and Electronics Engineering& Bannari Amman Institute of Technology
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Abstract - A technology known as an automatic air quality monitoring system continuously measures and evaluates the air quality in a specific environment. It is made to find and look at different pollutants and give real-time data for monitoring. These frameworks are regularly utilized in modern settngs, urban communities, and homes to guarantee the air we inhale is protected and sound. For measuring the air quality, we are using ESP32 NODEMCU (microcontroller) with humidity and temperature sensors and a display unit for displaying the value of air quality. We are using IOT (Internet of Things) technology. and we are interfacing with cloud technology by accessing the data from the display and sending the message or notification to the mobile phone or tv and give the alarm sound. our main motto to fulfil the needs of industry people. By ensuring the level of air quality monitoring in their workplace. If the level of any gases like CO2 or some other gases increased means automatically the signal will be senti to the display system. By using this display module in their workplace, they can be priorly notified and take safety measures like wearing masks etc. so no one gets harmed by any type of diseases like lung diseases and cancer etc. This also impacts their health and reduces the chances of occurring any health issues by maintaining a moderate ambiance or as required. Hence, IoT-powered solutions provide better services to the industrialists, which in turn, provides better services to their customers. It creates a positive impact on human health by eliminating unwanted air. Pollutants and particulate matter by allowing the authorities to take decisions according to the situation.
Key Words: Internet of Things, ESP32 NODEMCU, Detect gas level, Alarm sound.
