International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Intelligent Robot Assisted-LPG Transport Safety and Leak Detection System |
|---|---|
| ABSTRACT | This paper presents an IoT-enabled Intelligent Robotic System designed to ensure safe transportation and monitoring of LPG cylinders. The system integrates ESP32, MQ gas sensor, HX711 load cell, GPS module, and IoT communication to continuously detect gas leakage, monitor cylinder weight, track real-time location, and provide autonomous safety control. In case of abnormal conditions, the robot stops movement, activates a buzzer, and sends instant alerts through Telegram and Blynk IoT platform. The developed prototype successfully detects leakage, prevents hazardous situations, enables remote supervision, and enhances transportation safety. The system is suitable for industrial, commercial, and logistics applications. |
| AUTHOR | SHEETAL N, PUNYA SHIVANAND, D RAKESH, SHARVANI B K, S SUPRIYA Assistant Professor, Dept. of EIE, Dr. Ambedkar Institute of Technology, Karnataka, India Student, Dept. of EIE, Dr. Ambedkar Institute of Technology, Karnataka, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312079 |
| pdf/79_Intelligent Robot Assisted-LPG Transport Safety and Leak Detection System.pdf | |
| KEYWORDS | |
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