ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
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CrossRefDOI
ESTD2016
Peer ReviewTransparent
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Paper Title
GSM based Automatic Meter Reading and Billing System
Authors
Sachin Bhat , Kaushal B Shetty , Reshma Jasmine D’souza , Swathi Shetty , Rajesh S R
Keywords
Arduino, GSM, Automatic meter reading(AMR)
Abstract
Owing to high electricity cost these days it becomes necessary for the consumer to know as to how much electricity is consumed to control electricity bill within his budget. In this proposed system, the consumer will get his energy consumption data on real time basis on a LCD display. The same data is sent through GSM modem to the electricity department via SMS. Arduino is interfaced to the energy meter to get the Watt Hour pulses. The Arduino then processes these pulses according the program written in it, to calculate the units consumed and cost involved. Further it gives command to the SIM loaded GSM modem for sending the data to the customer/consumer via SMS. Further this work can be enhanced to control the electrical appliances remotely via SMS. Also it can be used to monitor the power consumption or any other factor like pressure, temperature etc. with appropriate changes.
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How To Cite
"GSM based Automatic Meter Reading and Billing System", IJRTI - International Journal for Research Trends and Innovation (www.IJRTI.org), ISSN:2456-3315, Vol.2, Issue 7, page no.21 - 24, July-2017, Available :https://ijrti.org/papers/IJRTI1707005.pdf
Issue
Volume 2 Issue 7,
July-2017
Pages : 21 - 24
Other Publication Details
Paper Reg. ID: IJRTI_170407
Published Paper Id: IJRTI1707005
Downloads: 205,636
Research Area: Engineering
Country: Udupi, Karnataka, India
Published Paper PDF: https://ijrti.org/papers/IJRTI1707005
Published Paper URL: https://ijrti.org/viewpaperforall?paper=IJRTI1707005
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ISSN: 2456-3315 | IMPACT FACTOR: 10.57 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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