Automated Gas Booking System using IOT with leak detector
Prof. Patil P.A.
, Jadhav Mansi Ashok , Arya Tanay Deepak , Ansari Sana Shakeel , Wakhare Mayur Dnyaneshwar
LPG, sensor, Arduino, IoT, Home Safety
Gas leakages are a major issue, therefore, the proposed gas leakage detection and Booking system are developed. There are many methods available for a Gas booking. It will be a critical situation for LPG gas domestic users for cooking. The goal of this paper is to initiate a new system automatic book a cylinder when the gas is about to empty is by sending a message to the gas agency using a WI-FI module using the Internet of Things approach. the sensor is used to detect gas leakage at home. If the gas leakage is detected, automatically it will send an SMS to the user. The load cell is used to monitor the weight of the LPG gas continuously. The values are given to the microcontroller using a load cell, gas in the cylinder specifies a value where the remaining percentage level is crossed below the threshold level set for gas getting empty, then a notification will be delivered to the gas agency automatically to book the new cylinder. Subsequently, a reply notification will be assent to the customer about the booking status. the application software is developed in the gas enterprise to inform and record the booking. This helps out the society to especially detect gas leakage and also helps domestic or industrial consumers who use LPG gas made automatically using the IoT technique.
"Automated Gas Booking System using IOT with leak detector", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.313 - 317, May-2022, Available :https://ijsdr.org/papers/IJSDR2205060.pdf
Volume 7
Issue 5,
May-2022
Pages : 313 - 317
Paper Reg. ID: IJSDR_200374
Published Paper Id: IJSDR2205060
Downloads: 000347173
Research Area: Engineering
Country: Nashik, maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave