CFP last date
20 February 2025
Reseach Article

Using Machine Learning to Improve Fuel Safety Monitoring and Compliances

by Ashish Mishra, Shrajal Sahu, Sakshi Koshta, Suryansh Soni, Shaily Sahu, Vani Dixit
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 57
Year of Publication: 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 ( Dec 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 },
issue_date = { Dec 2024 },
volume = { 186 },
number = { 57 },
month = { Dec },
year = { 2024 },
issn = { 0975-8887 },
pages = { 37-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number57/using-machine-learning-to-improve-fuel-safety-monitoring-and-compliances/ },
doi = { 10.5120/ijca2024924316 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-12-27T02:46:08.496846+05:30
%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
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 57
%P 37-43
%D 2024
%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
  1. Pipeline and Hazardous Materials Safety Administration. (n.d.). Safety Regulations. Retrieved from [PHMSA website].
  2. Smith, J. (2021). Advances in Hydrotesting Technologies. Journal of Hazardous Materials, 250, 123-135.
  3. Johnson, L., & Gupta, R. (2022). IoT Applications in Pipeline Monitoring. International Journal of Environmental Science and Technology, 19(3), 561-577.
  4. Safety issues associated with the use and operation of natural gas vehicles: learning from accidents in Pakistan [ DOI: 10.1007/s40430-015-0410-9]
  5. Khan MI, Yasmin T, Shakoor A (2015) Technical overview of compressed natural gas (CNG) as a transportation fuel. Renew Sustain Energy Rev
  6. Automated Vehicle License Plate Recognition for Parking Management and Security by S. K. Jain and A. B. Patel.
  7. A Survey on Optical Character Recognition Systems and Their Applications by M. A. H. Chowdhury et al.
  8. ASTM International. (2021). ASTM E1954-20: Standard Guide for Hydrostatic Testing of Pipelines. ASTM International.
  9. Pipeline and Hazardous Materials Safety Administration (PHMSA). (2023). Pipeline Safety Regulations. U.S. Department of Transportation.
  10. Rao, P. V., & Murthy, V. M. (2020). Design and Analysis of Pressure Relief Devices for CNG Cylinders. Journal of Pressure Vessel Technology, 142(4), 041601. DOI: 10.1115/1.4046396.
  11. Hsu, H., et al. (2016). Heat Shield Design for Natural Gas Vehicles. Journal of Mechanical Engineering, 142(7), 05012
  12. Kumar, S., & Kumar, D. (2021). Advanced technologies in hydrotesting: A review. Journal of Pressure Vessel Technology, 143(5), 051301. https://doi.org/10.1115/1.4051306.
  13. Zhang, Y., & Wang, S. (2017). Real-time monitoring and control systems for hydrostatic testing. Journal of Pipeline Systems Engineering and Practice, 8(1), 04017015. https://doi.org/10.1061/ASCEPS.1949-1204.0000215.
  14. Lee, J., & Lee, K. (2020). Integration of IoT and Big Data analytics for real-time pipeline monitoring and hydrostatic testing. IEEE Transactions on Industrial Informatics, 16(4), 2483-2491. https://doi.org/10.1109/TII.2019.2944962.
  15. Smith, J., & Patel, R. (2024). Evaluating Compliance of CNG Vehicles with Hydrotesting Safety Regulations. Journal of Transportation Safety, 15(3), 123-135. https://doi.org/x
  16. Ashish Mishra et al, ‘Investigation on load harmonic reduction through solar-power utilization in intermittent SSFI using particle swarm, genetic, and modified firefly optimization algorithms’, Journal of Intelligent & Fuzzy Systems, Vol.No.-42, 4117-4133, 2021.
Index Terms

Computer Science
Information Sciences
Hydrotesting
Real-Time Monitoring Safety Compliance
IoT (Internet of Things)
Data Analytics
Machine Learning
Predictive Maintenance
Regulatory Adherence
Energy Safety Systems
Pipeline Monitoring
Environmental Safety
Automation
System Architecture
Visual Analytics
Compliance Alerts
Smart Systems

Keywords

Accident Safety CNG Cylinder Hydrotesting SafeFuel·vehicle