Issue |
E3S Web Conf.
Volume 188, 2020
The 4th International Conference on Electrical Systems, Technology and Information (ICESTI 2019)
|
|
---|---|---|
Article Number | 00024 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/e3sconf/202018800024 | |
Published online | 08 September 2020 |
Tire Pressure and the Availability of Gasoline Monitoring Tools Based on IOT
1
Faculty of Electrical Engineering, Widya Mandala Catholic University, Jl. Kalijudan 37, Surabaya, East Java, 60144 Indonesia
2
Electronics Engineering Department, Adamson University, 900 San Marcelino St, Ermita, Manila, 1000 Metro Manila, Philippines
* Corresponding author: pranjoto@ukwms.ac.id
This final project discusses the design and manufacture of tire pressure and the availability of gasoline monitoring tools based on internet of things (IOT). Tire pressure monitoring tools are made because many of the motorcycle driver don’t have a time to check tire pressure, and often experience a reduction in pressure to leak on the highway. While the gasoline monitoring tool is made so that driver can see the contents of the available motorcycle tank volume, and estimate the price paid when filling in the gas. Conventional methods of estimating gasoline prices often cause failure to refuel at gas stations, and make motorists complain about improper prices. Basically this tool works by means of a gasoline indicator and is connected to the ADC port of the NodeMCU microcontroller. As for tire pressure, the measurement is done by using a pressure sensor and additional ADC, because the microcontroller only has one ADC port. Both of these tools work in the second way the microcontroller receives input data from the gasoline ADC indicator, and there is data processing in the microcontroller to connect the monitoring system via the internet.
Key words: Analog to digital converter / internet connectivity / gasoline indicator / pressure indicator / NodeMCU microcontroller
© The Authors, published by EDP Sciences, 2020
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.