IoT Based Automatic LPG Gas Booking System

Abstract

Liquefied Petroleum Gas (LPG) is widely used in households for cooking and heating purposes. However, traditional LPG systems require manual monitoring and booking of cylinders, which can lead to inconvenience and delays. The proposed IoT Based Automatic LPG Gas Booking System aims to solve this problem by automatically monitoring the gas level using sensors and triggering cylinder booking when the gas level reaches a predefined threshold. The system uses an ESP32 microcontroller, load sensor, and Firebase cloud database to measure cylinder weight and send data to a web dashboard. The user can view gas levels, booking history, and receive alerts through a web-based interface. The system also includes automatic booking, manual booking, wallet payment options, and administrative monitoring. This solution improves efficiency, prevents sudden gas outages, and provides real-time monitoring through Internet of Things (IoT) technology.

Introduction

The text describes an IoT-based smart LPG monitoring and automatic booking system designed to solve the problem of manual gas level checking and unexpected cylinder depletion in households. Traditionally, users must physically monitor LPG levels and manually book refills, which can cause delays and inconvenience.

The proposed system uses IoT technology to automate this process. A load sensor measures the weight of the LPG cylinder, and an ESP32 microcontroller processes the data and sends it to a cloud database (such as Firebase). The system continuously monitors gas levels in real time and displays them on a user dashboard. When the gas level falls below a set threshold, the system automatically triggers a booking request for a new cylinder.

The problem statement highlights inefficiencies in the current manual booking system and the need for automation to ensure uninterrupted gas supply.

The objectives include real-time monitoring of gas levels, automatic detection of low gas conditions, cloud data storage, automated booking, and improved user convenience with a dashboard and booking history.

The literature survey shows that earlier systems mainly used GSM alerts or basic IoT monitoring but lacked features like real-time cloud integration, automatic booking, payment systems, and full user management. The proposed system addresses these gaps by integrating all these functions.

The proposed system architecture includes a load cell sensor, ESP32 microcontroller, WiFi connectivity, Firebase cloud, and a web dashboard. The system calculates remaining gas based on cylinder weight and updates it in real time.

Conclusion

The IoT Based Automatic LPG Gas Booking System provides a smart solution for monitoring LPG cylinders and automating the booking process. By integrating sensors, cloud databases, and a web dashboard, the system ensures real-time monitoring and improves efficiency. This project demonstrates how IoT technology can simplify everyday tasks and enhance user convenience.

References

[1] S. Rajalakshmi, P. Ramesh, “IoT Based LPG Gas Leakage Detection System”, International Journal of Computer Science and Mobile Computing (IJCSMC), Vol.11, pg. 120-124, July 2022. [2] A. Kumar, R. Singh, “Smart Gas Monitoring System Using Internet of Things”, International Research Journal of Engineering and Technology (IRJET), Vol.09, p-ISSN:2395-0072, October 2022. [3] Priya Sharma, “LPG Gas Level Monitoring System Using Load Cell Sensor”, International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), Vol.05, e-ISSN:2582-5208, April 2023. [4] R. Patil, S. Kulkarni, “IoT Based Smart Home Gas Safety System”, International Journal of Innovative Research in Technology (IJIRT), Vol.10, p-ISSN:2349-6002, September 2023. [5] Nikhil Gupta, “Smart Cylinder Monitoring System Using Embedded Technology”, [6] International Journal of Research Publication and Reviews (IJRPR), Vol.05, p-ISSN:2582-7421, January 2024. [7] Anjali Deshmukh, “Wireless Sensor Based LPG Monitoring System”, International Journal of Advanced Research in Computer Engineering and Technology (IJARCET), Vol.13, pg. 89-93, March 2024.

Copyright

Copyright © 2026 Ms. Surbhi Chavhan , Ayush Bhole, David Bhute, Nishant Awari, Harsh Motghare. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.