A Real-time Dataset of Air Pollution Monitoring Generated Using IoT
Description
IoT devices are used in the data-gathering procedure to get real-time information on air pollution in Dhaka, Bangladesh. The hardware design is made to ensure that suitable sensors are fitted to detect the levels of carbon monoxide, nitrogen dioxide, sulfur dioxide, ozone, particulate matter 2.5, and particulate matter 10. To facilitate connectivity with the IoT devices, the Arduino IDE code was uploaded. The appropriate Excel file is opened after starting the Excel data streamer. The Arduino IDE chooses the proper COM port to connect the IoT devices to the PC. The gathered data are stored in a designated file location to facilitate analysis and interpretation. This approach enables future research and decision-making procedures about air pollution in Dhaka. It also ensures continuous monitoring and complete assessment of air quality metrics. The record of the dataset is 1 lac 55 thousand 4 hundred 6.
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Steps to reproduce
IoT devices were used in the data-gathering procedure to get real-time information on air pollution in Dhaka, Bangladesh. The hardware design was made to ensure that suitable sensors were fitted to detect the levels of carbon monoxide, nitrogen dioxide, sulfur dioxide, ozone, particulate matter 2.5, and particulate matter 10. To facilitate connectivity with the IoT devices, the Arduino IDE code was uploaded. The appropriate Excel file was opened after starting the Excel data streamer. The Arduino IDE chose the proper COM port to connect the IoT devices to the PC. The gathered data were stored in a designated file location to facilitate analysis and interpretation. This approach enabled future research and decision-making procedures about air pollution in Dhaka. It also ensured continuous monitoring and complete assessment of air quality metrics.