| Issue |
E3S Web Conf.
Volume 73, 2018
The 3rd International Conference on Energy, Environmental and Information System (ICENIS 2018)
|
|
|---|---|---|
| Article Number | 05025 | |
| Number of page(s) | 5 | |
| Section | Environmental Technology and Pollution Control | |
| DOI | https://doi.org/10.1051/e3sconf/20187305025 | |
| Published online | 21 December 2018 | |
Performance of AVR microcontroller-SMS gateway system for detecting SO2 and NO2
1 Department of Mechanical Engineering, Institut Sains & Teknologi AKPRIND Yogyakarta 55222 Indonesia
2 Department of Electrical Engineering, Institut Sains & Teknologi AKPRIND Yogyakarta 55222 Indonesia
3 Department of Environmental Engineering, Institut Sains & Teknologi AKPRIND Yogyakarta 55222 Indonesia
* Corresponding author: sudarsono1574@akprind.ac.id
This study aims to investigate SO2 and NO2 level in atmospheric air using AVR microcontroller-SMS gateway system. This system could gather high-resolution spatiotemporal air pollution data by GSM network of low-cost sensors for monitoring real-time concentrations of different air pollutants, which can be then utilized for a variety of air pollution management tasks. The system able to provide information with threshold values, Good (1-50PPM), Medium (51-100PPM), No Health (101-199PPM), Very Unhealth (200-299PPM) and Dangerous (above 300 PPM). Level of NO2 is higher than NO2 standard. Meanwhile in general, level of SO2 is slightly higher than the standard value. The response time to the SMS communication system averages about 5 seconds depending on signal quality and data traffic from cellular service providers. Differences in Voltage and ADC measurements are caused by several errors, such as ADC ± 2 bit output error, rounding ADC conversion error to volt, or due to errors in the measuring tool used.
Key words: pollutant / detector / AVR microcontroler / sensor / SMS Gateway
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.