ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
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    IOT-ENABLED PLC AND SCADA SYSTEMS FOR SMART INDUSTRIES COMBINES CLOUD CONNECTIVITY, REMOTE MONITORING, AND ANALYTICS.

    CH. Radha Krishna Manohari, J. Parasmai Kanti

    Author

    ID: 2053

    DOI:

    Abstract :

    The Convergence Of Industrial Internet Of Things (IIoT), Cloud Computing, And Industrial Automation Technologies Has Revolutionized Modern Manufacturing And Process Industries. Traditional Programmable Logic Controllers (PLCs) And Supervisory Control And Data Acquisition (SCADA) Systems, Once Isolated And Locally Operated, Are Now Being Transformed Into Intelligent, Interconnected Platforms Capable Of Real-time Monitoring, Predictive Analysis, And Remote Decision-making. This Paper Provides An In-depth Exploration Of IoT-enabled PLC– SCADA Systems, Detailing Their Architecture, Communication Mechanisms, Performance Benefits, And Implementation Challenges. It Reviews Recent Research Developments, Compares Conventional And IoT-integrated Industrial Systems, And Presents Sample Analytical Results Illustrating Efficiency Gains. The Study Demonstrates That Integrating IoT Technologies Significantly Enhances Operational Visibility, Reduces Downtime, Optimizes Energy Usage, And Supports Smart Manufacturing Initiatives Aligned With Industry 4.0. Limitations Such As Cyber Security Vulnerabilities, Latency, And Standardization Issues Are Also Discussed Along With Possible Solutions And Future Research Directions

    Published:

    21-2-2026

    Issue:

    Vol. 26 No. 2 (2026)


    Page Nos:

    134-137


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    CH. Radha Krishna Manohari, J. Parasmai Kanti, IOT-ENABLED PLC AND SCADA SYSTEMS FOR SMART INDUSTRIES COMBINES CLOUD CONNECTIVITY, REMOTE MONITORING, AND ANALYTICS. , 2026, International Journal of Engineering Sciences and Advanced Technology, 26(2), Page 134-137, ISSN No: 2250-3676.

    DOI: