International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Reviewer Referral Program
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 6 Issue 6
November-December 2024
Indexing Partners
IoT based Recognition of Leakages in Gas Pipes
Author(s) | Ms. Pooja Saini, Prof. Priyanka Rao |
---|---|
Country | - |
Abstract | In any industry or a company, leakage of gas in the pipeline is a main problem at this time. Leakage can be well-defined as the unintended admission or discharge of fluid through a dump or crash from the cylinder. Gas leakage leads to indemnities as well as fire fortunes. This research work takes the control over unconscious discovery of leakages, than the man power and thus reduces some loss. Here in this method, we recommend an imaginative robot that grips on to the outer deceptive of the gas pipe and channels along the pipe to check for leaks. The kit contains MQ5 gas radar to intellect the gas leaks. The robot passages uninterruptedly alongside the metal pipe and if there is any presence of leak, the specific position is identified by ultrasonic sensor and the message will be sent to the IoT device through Wi-Fi module. |
Keywords | Arduino Uno, MQ 5 sensor, Ultrasonic sensor, Temperature sensor, LCD, Wi-Fi module, Motor driver. |
Field | Engineering |
Published In | Volume 1, Issue 1, July-August 2019 |
Published On | 2019-08-20 |
Cite This | IoT based Recognition of Leakages in Gas Pipes - Ms. Pooja Saini, Prof. Priyanka Rao - IJFMR Volume 1, Issue 1, July-August 2019. |
Share this
E-ISSN 2582-2160
doi
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.