Journal of Advances in Developmental Research

E-ISSN: 0976-4844     Impact Factor: 9.71

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 1 January-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of January-June.

Custom Dashboards for Monitoring Fuel Dispenser Performance Metrics

Author(s) Rohith Varma Vegesna
Country United States
Abstract Fuel station management has evolved into a highly complex and data-intensive operation, necessitating advanced solutions for real-time monitoring and performance optimization. Fuel dispensers, ATG systems, and other connected devices continuously generate massive amounts of operational data that, if properly utilized, can significantly improve efficiency, reduce downtime, and optimize revenue. However, traditional monitoring methods often rely on outdated static reports that fail to provide real-time insights, limiting the ability of fuel station operators to detect and respond to anomalies promptly. Without an effective mechanism to visualize dispenser efficiency, fuel flow rates, equipment failures, and operational irregularities, fuel station management remains inefficient and reactive rather than proactive. This paper presents a comprehensive study on the development of customizable dashboards that integrate software-driven analytics, predictive maintenance strategies, and real-time alerts to offer an intuitive and data-rich monitoring interface for fuel stations. By leveraging technologies such as MongoDB for high-performance data storage, Redis for real-time caching, and AWS for scalable cloud-based visualization, these dashboards provide operators with a seamless and efficient method to track dispenser performance, diagnose potential issues, and ensure fuel system reliability. Additionally, advanced data analytics and machine learning models incorporated into the system enable predictive maintenance, allowing fuel station managers to preemptively address potential failures before they escalate into costly downtimes. A case study of real-world fuel station deployments demonstrates how these dashboards improve service reliability, enhance operational decision-making, and provide actionable insights that drive efficiency. Ultimately, the integration of software-driven dashboard solutions into fuel station management has the potential to revolutionize industry operations by transforming vast amounts of raw data into meaningful, real-time intelligence that optimizes fuel dispensing, minimizes operational inefficiencies, and enhances overall customer service.
Keywords Fuel dispenser monitoring, custom dashboards, Real-time analytics, MongoDB, Predictive maintenance, Fuel station operations.
Field Engineering
Published In Volume 16, Issue 1, January-June 2025
Published On 2025-03-08
Cite This Custom Dashboards for Monitoring Fuel Dispenser Performance Metrics - Rohith Varma Vegesna - IJAIDR Volume 16, Issue 1, January-June 2025. DOI 10.5281/zenodo.14993249
DOI https://doi.org/10.5281/zenodo.14993249
Short DOI https://doi.org/g87f9v

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