Real-Time Detection and Alerting System for LPG Gas Leakage with Weight-Based Consumption Tracking

A comprehensive real-time detection and alerting system for Liquefied Petroleum Gas (LPG) leakage with integrated weight-based consumption tracking capabilities. The proposed system employs a Dual- monitoring approach, combining gas concentration sensors for leak detection with load cell technology for continuous measurement of cylinder weight. When gas concentration exceeds predetermined safety thresholds, the system triggers immediate multi-channel alerts including audible alarms , and emergency ventilation procedures. The weight-monitoring component enables accurate consumption tracking, predictive refill notifications, and anomaly detection for potential slow leaks.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-05-04
DOI
https://doi.org/10.36948/ijfmr.2025.v07i03.43775
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
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article

Real-Time Detection and Alerting System for LPG Gas Leakage with Weight-Based Consumption Tracking

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International Journal For Multidisciplinary Research
Fire Detection and Safety Systems
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Real-Time Detection and Alerting System for LPG Gas Leakage with Weight-Based Consumption Tracking

asher asher, G. Datta, Sincy Kuruvilla, Jeevan, Lithish Ramachandra
article en

Abstract

A comprehensive real-time detection and alerting system for Liquefied Petroleum Gas (LPG) leakage with integrated weight-based consumption tracking capabilities. The proposed system employs a Dual- monitoring approach, combining gas concentration sensors for leak detection with load cell technology for continuous measurement of cylinder weight. When gas concentration exceeds predetermined safety thresholds, the system triggers immediate multi-channel alerts including audible alarms , and emergency ventilation procedures. The weight-monitoring component enables accurate consumption tracking, predictive refill notifications, and anomaly detection for potential slow leaks.

International Journal For Multidisciplinary ResearchVol. 7(3)
Openalex Percentile: Top 89%
Fire Detection and Safety Systems
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