Research Article
Using Machine Learning to Improve Fuel Safety Monitoring and Compliances
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 186 - Issue 57 |
| Published: December 2024 |
| Authors: Ashish Mishra, Shrajal Sahu, Sakshi Koshta, Suryansh Soni, Shaily Sahu, Vani Dixit |
10.5120/ijca2024924316
|
Ashish Mishra, Shrajal Sahu, Sakshi Koshta, Suryansh Soni, Shaily Sahu, Vani Dixit . Using Machine Learning to Improve Fuel Safety Monitoring and Compliances. International Journal of Computer Applications. 186, 57 (December 2024), 37-43. DOI=10.5120/ijca2024924316
@article{ 10.5120/ijca2024924316,
author = { Ashish Mishra,Shrajal Sahu,Sakshi Koshta,Suryansh Soni,Shaily Sahu,Vani Dixit },
title = { Using Machine Learning to Improve Fuel Safety Monitoring and Compliances },
journal = { International Journal of Computer Applications },
year = { 2024 },
volume = { 186 },
number = { 57 },
pages = { 37-43 },
doi = { 10.5120/ijca2024924316 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2024
%A Ashish Mishra
%A Shrajal Sahu
%A Sakshi Koshta
%A Suryansh Soni
%A Shaily Sahu
%A Vani Dixit
%T Using Machine Learning to Improve Fuel Safety Monitoring and Compliances%T
%J International Journal of Computer Applications
%V 186
%N 57
%P 37-43
%R 10.5120/ijca2024924316
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The SafeFuel Monitor is an innovative real-time hydrotesting compliance alert system designed to enhance safety and improve regulatory compliance in the transportation and storage of hazardous fluids, particularly in the petroleum and chemical industries. This paper outlines the importance of hydrotesting, the gaps in traditional compliance monitoring methods, and how the SafeFuel Monitor leverages modern technology, including IoT sensors and machine learning algorithms, to provide timely alerts that enhance operational safety and regulatory adherence.
References
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