LPG is a common fuel for cooking worldwide due to its affordability, accessibility, and efficiency. This paper explores an IoT-based system designed to monitor and display the LPG level in household cylinders while also enabling automatic cylinder ordering and gas leakage detection. The system utilizes an HX711 load sensor connected to an Arduino to measure the real-time LPG level. A GSM module sends SMS alerts to users and automatically places an order for a new cylinder by dialing a pre-registered booking number when the gas level drops below 1000 grams. Additionally, an MQ-2 gas sensor detects leaks, enhancing house hold safety. The current LPG level is continuously displayed on an LCD, allowing users to track usage from the date of installation. By providing timely notifications, the system helps prevent issues such as last-minute ordering delays. Furthermore, gas leak detection ensures a safer cooking environment by reducing the risk of accidents caused by leaks.
Introduction
Purpose and Background
LPG (Liquefied Petroleum Gas) plays a critical role in households and industries.
A major challenge is the uncertainty about remaining gas levels, causing inconvenience.
LPG is explosive within a 1.8% to 9.5% air concentration, making leak detection crucial.
The paper proposes an IoT-based system to:
Detect gas levels
Monitor for leaks
Automatically book refills
Alert users via SMS and app notifications
2. Key Features of the System
Real-time gas level monitoring using load sensors (HX711).
Leak detection with high-sensitivity gas sensors (MQ-2/MQ-5).
Automatic refill booking through cloud APIs when gas falls below threshold.
User notifications via GSM module (e.g., SIM800L/SIM900) and LCD display.
Uses Arduino Uno as the central controller.
IoT integration with Wi-Fi (ESP8266) for cloud communication.
Load and gas sensors continuously send data to Arduino.
Decision Logic:
If gas level < threshold → trigger refill booking.
If leak detected → activate alarm + send SMS alert.
Cloud Communication:
Data sent via ESP8266 to cloud platform (e.g., Firebase, AWS).
API used to place refill order with LPG supplier.
User Notification:
Alerts sent via SMS.
LCD and app/dashboard show real-time updates.
Power Management:
Uses sleep modes and efficient modules to minimize energy usage.
Battery backup suggested for uninterrupted operation.
5. Performance Evaluation
Accuracy: ±2% in gas level estimation under controlled conditions.
Latency: ~3 seconds from detection to booking (1s sensor-to-cloud, 2s API).
User Feedback: Positive for ease of use and convenience.
Scalability: Can integrate multiple cylinders, suitable for commercial/industrial use.
Challenges:
Network issues in remote areas
Complexity in integrating with different suppliers’ APIs
6. Literature Insights
Prior studies highlight:
High risk of gas leaks in industries
Need for IoT integration for safety
Existing systems lack automation and remote capabilities
The proposed solution enhances both safety and convenience
7. System Architecture Overview
Components Interaction:
Sensors collect data → Arduino processes it → Triggers alert or booking
GSM sends alerts; Wi-Fi connects to cloud
Logical Flow:
Detect gas level or leak → Decision → Action → Notification
Power Efficiency:
Low-power modules, use of sleep mode, and optional battery pack
8. Results
Effective in detecting low gas and leaks
Automatic refill booking works reliably
User notifications are timely and informative
Cloud-based monitoring improves accessibility
Energy-efficient design ensures suitability for long-term use
Conclusion
This project consists of two sections transmitter section and receiver section. In this the automated booking of latest LPG cylinder is enforced. With the assistance of the gas device and cargo device ready to able to observe the amount of the gas and also the gas leak. And at last with the application of IoT, new LPG cylinder can be booked by the user. By this system, the Users can be aware of their gas level and it also avoids the prior and delay booking of the cylinder. And also, the components used here are commercially cheap when compared to other gas detectors. Hence this concept can also be widely used in the industries according to their requirements. Reduce human intervention: the system can reduce the need for manual intervention in booking and monitoring LPG cylinders. Save time the system can save time by automatically booking new cylinders when the gas level is low. Prevent gas leakage: the system can prevent gas leakage accidents by continuously monitoring the gas level and alerting the user if a leak is detected. Ensure safety: the system can ensure safety by stopping the flow of gas to the stove and switching on a fan to-let the leaked gas out. The system may also used in other settings, such as mines where gas sensors can detect harmful gas leakages
References
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