Automatic fuel level detection system.

dc.contributor.authorBisiwo, Timothy
dc.contributor.authorOuma, Remilars Mugeni
dc.date.accessioned2022-05-17T07:14:52Z
dc.date.available2022-05-17T07:14:52Z
dc.date.issued2016
dc.descriptionDissertationen_US
dc.description.abstractMost petrol stations store their fuel in underground tanks and they don’t always know the level of fuel available. Currently measuring the volume of fuel in the underground tanks is done by use of the dipstick. However, a continuous measurement and represent at i on of the fuel levels is not possible, that’s the level is known only at the time measurement is taken. This makes it tiresome, time consuming and inconvenient because a person performing the measurement must be physically present at the tank. This method of measurement puts the lives of the operators at risk due to the noxious fumes given off by the fuels. These fumes are dangerous when exposed to human beings, and greatly affect our environment. The measuring equipment (Dip stick) damages the bottom of the tank whenever measurement is taken; this leads to leakage of the tank in the long run. This project aims at solving the problems by providing an automatic method of checking the level of fuel. This was achieved using ultrasonic sensor for detecting the level, the Arduino Uno microcontroller for computation and the LCD for displaying the volume of fuel in the tank continuously. The Arduino Uno microcontroller was programmed using C++ language in an Arduino environment.en_US
dc.description.sponsorshipMr. Ocen Gilbert, Busitema University.en_US
dc.identifier.citationBisiwo, T. & Ouma, R. M. (2016). Automatic fuel level detection system. Busitema University. Unpublished dissertation.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12283/1176
dc.language.isoenen_US
dc.publisherBusitema University.en_US
dc.subjectLevel detection systemen_US
dc.subjectPetrol stationsen_US
dc.subjectFuelen_US
dc.subjectUnderground tanksen_US
dc.subjectArduino environmenten_US
dc.titleAutomatic fuel level detection system.en_US
dc.typeThesisen_US

Bisiwo & Ouma - Dept. of Informatics & Comp. Engineering, 2016.PDF
1.11 MB
Adobe Portable Document Format
Dissertation
Bisiwo & Ouma - Abstract.pdf
670.01 KB
Adobe Portable Document Format
Abstract

license.txt
1.71 KB
Item-specific license agreed upon to submission