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DC Field | Value | Language |
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dc.contributor.author | KHAIRANI NADZIRAH BINTI MD YUSOFF | - |
dc.date.accessioned | 2023-08-23T06:36:20Z | - |
dc.date.available | 2023-08-23T06:36:20Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://repository.psa.edu.my/handle/123456789/4282 | - |
dc.description.abstract | Our daily activities and quality of life are both impacted by air pollution. The biosphere and the standard of living on the globe are at risk. Since there have been more terraced houses are built close to each other or for the middle part houses in between which causes limited ventilation for each operations in recent years, there is a very obvious necessity to monitor the quality of the air. People need to be aware of how much their actions have an impact. The NodeMCU ESP8266 microcontroller was used in the creation of the system. 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 on the quality of the air. A method for monitoring air pollution is proposed in this project. The Parts per Million (PPM) measures were used to measure the air quality, and Blynk apps was used to evaluate the results and it is also useful to control the power button. | en_US |
dc.language.iso | en | en_US |
dc.publisher | POLITEKNIK SULTAN SALAHUDDIN ABDUL AZIZ SHAH | en_US |
dc.subject | Air pollution | en_US |
dc.subject | NodeMCU ESP8266 | en_US |
dc.subject | Parts per Million (PPM) | en_US |
dc.subject | Blynk apps | en_US |
dc.title | AIR QUALITY INDEX MONITORING VIA IoT | en_US |
dc.type | Final Year Project Report | en_US |
Appears in Collections: | Full Paper |
Files in This Item:
File | Description | Size | Format | |
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AIR QUALITY INDEX MONITORING VIA IoT 08DJK20F1028_KHAIRANI NADZIRAH BINTI MD YUSOFF.pdf | 3.95 MB | Adobe PDF | View/Open |
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