Abstract— One of the major problems today is rising air and sound pollution. The need for effective, affordable, operationally adaptable, and intelligent monitoring systems has been significantly driven by the fast proliferation of infrastructure and industrial facilities that are causing environmental problems like climate change, malfunctioning, and pollution. Monitoring air quality is essential for a successful future and a healthy existence for all of us. Using the Internet of Things (IoT) to track and check real-time air quality and noise pollution in each place for a smart environment, an air quality and noise pollution monitoring system is presented in this study. The system continuously transmits data to the microcontroller using air sensors to detect the presence of dangerous gases and compounds in the air.

Additionally, the system continuously measures the sound level and sends an IoT report to the online server. The sensors communicate with the microcontroller, which then analyses and sends the data via the internet. Wi-Fi is used to designate a framework for an IoT-based sound and air pollution observation, and the cloud is used to set up data access for periodic storage and access. The real-time monitoring and analysis of air quality along with the logging of data to a remote server that receives updates through the internet are all features of the air pollution monitoring system. Parts per Million (PPM) metrics were used to measure the air quality. Due to internet access, this monitored data can be obtained from a distance without going there.

The integration or cooperation of affective distributed sensing units and information systems for data synthesis forms the foundation of this monitoring system. The Internet of Things plays a part in measuring air and sound pollution since it enables data access from far-off sites.

 Keywords— IoT, Wi-Fi, Parts per million (PPM).

PDF | DOI: 10.17148/IJARCCE.2023.125155

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