DEVELOPMENT OF A FUEL ADULTERATION DETECTION SYSTEM USING IOT BASED SENSOR TECHNIQUE

I. Rabiu, Buhari U. Umar
{"title":"DEVELOPMENT OF A FUEL ADULTERATION DETECTION SYSTEM USING IOT BASED SENSOR TECHNIQUE","authors":"I. Rabiu, Buhari U. Umar","doi":"10.46565/jreas.2021.v06i04.006","DOIUrl":null,"url":null,"abstract":"Fuel is very important in our everyday activities, it has been used in companies, industries, organizations and automobiles. It also serves as a means for generating electricity. Adulteration of petroleum products is hard to detect because the existing components of the fuel constitute the adulterants. The adulterants alongside other cheap hydrocarbons are mixed with the base fuel to degrade its quality and for the monetary benefits of the business vendors. This makes the adulterated fuel to pose a very serious danger to the consumers. This research project developed an IoT-based fuel adulteration detection system using a weight sensor-based technique. The IoT-based system helps to notify and give information about the fuel adulteration to the user immediately on a registered website called thingspeak. The average detection accuracy and response time of the system are 96.37% and 1.34 seconds respectively. These results emphasize the crucial function of adulteration detection system in fuels, as it detects adulteration of liquids effectively and accurately for automobile users and thereby reducing the risk of adulteration in fuels.","PeriodicalId":14343,"journal":{"name":"International Journal of Research in Engineering and Applied Sciences","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Research in Engineering and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46565/jreas.2021.v06i04.006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Fuel is very important in our everyday activities, it has been used in companies, industries, organizations and automobiles. It also serves as a means for generating electricity. Adulteration of petroleum products is hard to detect because the existing components of the fuel constitute the adulterants. The adulterants alongside other cheap hydrocarbons are mixed with the base fuel to degrade its quality and for the monetary benefits of the business vendors. This makes the adulterated fuel to pose a very serious danger to the consumers. This research project developed an IoT-based fuel adulteration detection system using a weight sensor-based technique. The IoT-based system helps to notify and give information about the fuel adulteration to the user immediately on a registered website called thingspeak. The average detection accuracy and response time of the system are 96.37% and 1.34 seconds respectively. These results emphasize the crucial function of adulteration detection system in fuels, as it detects adulteration of liquids effectively and accurately for automobile users and thereby reducing the risk of adulteration in fuels.
基于物联网传感器技术的燃料掺假检测系统的开发
燃料在我们的日常活动中非常重要,它已被用于公司,工业,组织和汽车。它还可以作为发电的一种手段。石油产品的掺假是难以检测的,因为燃料的现有成分构成掺假。掺假物与其他廉价碳氢化合物一起与基础燃料混合,以降低其质量,并为商业供应商带来经济利益。这使得掺假燃料对消费者构成了非常严重的危险。本研究项目开发了一种基于物联网的燃料掺假检测系统,该系统使用基于重量传感器的技术。基于物联网的系统有助于在一个名为thingspeak的注册网站上立即通知并向用户提供有关燃料掺假的信息。系统的平均检测准确率为96.37%,平均响应时间为1.34 s。这些结果强调了燃料掺假检测系统的关键功能,因为它为汽车用户有效准确地检测液体掺假,从而降低燃料掺假的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信