Paper Title

Deep Fridger Fault Detection by using Arduino and GSM

Authors

Sachine navnath kadam , Shubham Vinod Bongane , Prathamesh mohan Jadhav , Rushikesh Navanath Surve , Vyankatesh Vitthal palimkar

Keywords

Arduino, LCD Display, Voltage sensor, Relay, Adapter, Adder pin etc

Abstract

The proposed system in improving the overall operation and longevity of deep freeze refrigerators in various environments. This paper presents a comprehensive system for deep freeze refrigerator fault detection and voltage control. The system integrates sensors, microcontroller units, and voltage regulation mechanisms to enhance the reliability, energy efficiency, and performance of deep freeze refrigerators. By continuously monitoring temperature, compressor operation, and coolant levels, the fault detection system can identify abnormalities and potential malfunctions early, minimizing downtime and maintenance costs. Additionally, the voltage controller regulates the input voltage supplied to the refrigerator, ensuring stable operating conditions and protecting the appliance from damage caused by voltage fluctuations. The user interface provides real-time feedback to users and allows for remote monitoring and control, enhancing convenience and accessibility.

How To Cite

"Deep Fridger Fault Detection by using Arduino and GSM", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.a687-a689, February-2024, Available :https://tijer.org/TIJER/papers/TIJER2402085.pdf

Issue

Volume 11 Issue 2, February-2024

Pages : a687-a689

Other Publication Details

Paper Reg. ID: TIJER_151331

Published Paper Id: TIJER2402085

Downloads: 000277

Research Area: Science and Technology

Country: Solapur , Maharashtra , India

Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2402085

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2402085

About Publisher

ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: TIJER (IJ Publication) Janvi Wave

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