IOT BASED AIR POLLUTION MONITORING SYSTEM USING ARDUINO
ABSTARCT :
Air pollution is a growing issue these days. It is necessary to monitor air quality and keep it under control for a better future and healthy living for all. Here we propose an air quality monitoring system that allows us to monitor and check live air quality in a particular area through IOT. System uses air sensors to sense presence of harmful gases/compounds in the air and constantly transmit this data to microcontroller. Also system keeps measuring sound level and reports it to the online server over IOT. The sensors interact with microcontroller which processes this data and transmits it over internet. This allows authorities to monitor air pollution in different areas and take action against it.
EXISTING SYSTEM :
• Many emission management frameworks are designed today by dreaming about different natural borders. The the current structure model uses the spatial and natural environments for a wide range of technologies in different fields to track remote sensor organisations.
• The sensor hubs talked comfortably with the moving hubs sent to the subject-matter of interest that prohibited the use of complicated steering calculations, but neighbourhood calculations are extremely minor.
• RFID is a way to send and retrieve information via electromagnetic transmission to a viable integrated RF circuit. It is primarily used in grocery stores and manufacturing to detect and label items. RFID frameworks have two key components: labels and readers.
• A tag has an extraordinary recognisable proof number and memory to store additional information, such as producer, product type and ecological factors, e.g. temperature, mugginess, etc.
DISADVANTAGE :
• Need of manual labor, cost of operation is high, has the risk of human error and data can easily altered.
• For both gases and particulate matter, if several identical low cost systems are co-located, the user should expect a high level of repeatability (R2 > 0.9) and should expect to be able to adjust accuracy by ‘calibrating’ – adjusting slope and offset – against a co-located reference/equivalent station.
• Ozone is monitored daily, but mostly during the ozone season (the warmer months, approximately April through October)
PROPOSED SYSTEM :
• The structure suggested includes the accompanying biological thresholds, so as to measure air pollution concentrations: gases, Other constraints are calculated including temperature, mugginess and light power and tone.
• The basic information sensed is transformed by ADC into advanced qualities.
• The ADC output is passed to the microcontroller that is treated and shipped off of the IoT stage.
• Our cloud knowledge base with IoT support reveals the constant values. The LCD display also shows the intentional consistency.
ADVANTAGE :
• The measurements of pollution concentrations are the best characterization of the concentration of a given pollutant at a given time and location
• The data are supported by a comprehensive quality assurance program, ensuring good data of known quality.
• Easy to Install
• Updates On mobile phone directly
• Accurate Pollution monitoring
• Remote location monitoring.
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