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Software-Driven Automated Leak Detection in Fuel Storage Tanks

Author(s) Rohith Varma Vegesna
Country United States
Abstract Fuel storage tank leaks pose significant environmental and financial risks, often leading to regulatory violations and increased maintenance costs. Traditional detection methods rely on manual inspections and periodic checks, which are time-consuming and prone to human error, often failing to identify leaks promptly. This paper presents a software-driven approach that leverages Redis for real-time aggregation of fuel transaction data and Automated Tank Gauge (ATG) levels to enhance leak detection capabilities. The system continuously monitors ATG start levels and updates levels recorded after each transaction, comparing them against fuel dispensed to identify any inconsistencies. If discrepancies suggest a potential leak, an AWS Lambda function is automatically triggered to halt all pump transactions, ensuring immediate response. Additionally, a notification system alerts the store manager, enabling rapid decision-making and preventing further fuel loss. This approach significantly improves fuel management efficiency by providing a proactive, real-time solution to mitigate operational losses and environmental hazards, ensuring compliance with industry standards and safety regulations.
Keywords Fuel leak detection, Automated Tank Gauge, real-time monitoring, Redis, AWS Lambda, fuel management, environmental safety
Published In Volume 4, Issue 3, March 2023
Published On 2023-03-08
Cite This Software-Driven Automated Leak Detection in Fuel Storage Tanks - Rohith Varma Vegesna - IJLRP Volume 4, Issue 3, March 2023. DOI 10.5281/zenodo.14905636
DOI https://doi.org/10.5281/zenodo.14905636
Short DOI https://doi.org/g85r7p
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