UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 7
July-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2307885


Registration ID:
521903

Page Number

i598-i602

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Title

Automated Machine Parameters Measurements and Report Generation Using PLC and AWS

Abstract

This research focuses on automating machine parameter measurements and report generation using PLCs, Siemens’ TIA Portal, and AWS QuickSight, with a specific emphasis on presenting servo motor data on AWS QuickSight. By leveraging the precise control capabilities of servo motors through TIA Portal, we establish seamless communication with the PLC, enabling the acquisition of critical parameters. The integration with AWS QuickSight facilitates real-time data visualization and reporting, empowering operators and decision-makers with comprehensive insights. This paper presents the methodology, implementation details, and results, highlighting the effectiveness and reliability of the automated system. The findings demonstrate the potential for enhanced machine performance, predictive maintenance, and data-driven decision-making in manufacturing environments.

Key Words

PLC , TIA V-17, AWS Quicksight, Servo Motor

Cite This Article

"Automated Machine Parameters Measurements and Report Generation Using PLC and AWS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.i598-i602, July-2023, Available :http://www.jetir.org/papers/JETIR2307885.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Automated Machine Parameters Measurements and Report Generation Using PLC and AWS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppi598-i602, July-2023, Available at : http://www.jetir.org/papers/JETIR2307885.pdf

Publication Details

Published Paper ID: JETIR2307885
Registration ID: 521903
Published In: Volume 10 | Issue 7 | Year July-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.35878
Page No: i598-i602
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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