What is Air Quality Monitoring?
Air Pollution Monitoring is an exercise to measure ambient air pollution levels. The data received from ambient sensors indicates the status of the quality of the air we breathe.
The data, over the long term, allows us to tease out patterns that help to find spatial differences as well as temporal differences in pollution.
Spatial difference is to find out the areas of the city which are more polluted and temporal difference is to find out the pattern of pollution levels during the day and/or over the seasons.
So, Air pollution monitoring itself does not reduce pollution, however it gives us clues on how much is pollution, and it’s spatial and temporal differences.
IoT Enabled Air Quality Monitoring
The IoT based air pollution monitoring system is developed using sensors and microcontrollers.The microcontrollers are programmed to take the sensors as input and transmit the data to the cloud. An algorithm is developed to analyze the data and send it to the Mobile application or a IoT dashboard. A smartphone app will be developed for users to access the air quality information in real-time.
IoT Based Air Quality Monitoring System consists of electrochemical sensors which monitors the constituents which results in pollution like aerosol, VOC, CO, CO2, and temperature-humidity and will trigger an alarm when the air quality goes down beyond a certain level, which means when there are amount of harmful gases present in the air. The system shows the air quality in PPM on the display or on the web page or in the mobile application, so that it can be monitored very easily.
It is surprising to believe that oxygen in a city like Noida is not 21% (we are reading this since our school days) , It is around 18% when measured through electrochemical sensors, which in itself is almost 14% lesser than the ideal air which we should breathe.
Analysis of collected data
The data of all the gas sensors used for measuring gases in the air is fed to microcontroller for analysis, and it results in the Pollution level in PPM (parts per million). Gas sensors give the output in the form of voltage levels, using Analog-to-Digital conversion the digital data is outputted. The data fetched is sent to the server using wifi or cellular network or any other LPWAN protocol, The IoT Dashboard or web app or mobile application reads the data from the database and creates data visuals for the user.
The use of IoT enhances the process of monitoring various aspects of the environment such as the air quality monitoring, indoor air monitoring, amount of specific gases in the air etc, which any one can view in a single click .
We, at PsiBorg, have built various solutions for environment monitoring, if you are looking for a partner to help you in building your concept to product, then you can get in touch with us for all your related queries.