Revolutionizing PLC Systems with AI: A New Era of Industrial Automation

Authors

  • Niravkumar Dhameliya Software Engineer, Therapy Brands, Birmingham, AL, USA Author

Keywords:

PLC (Programmable Logic Controller), Artificial Intelligence, Industrial Automation, Revolutionizing, Smart Manufacturing, Robotics, Adaptive Control, Digital Transformation

Abstract

This study investigates the revolutionary effects of combining PLCs (programmable logic controllers) and artificial intelligence (AI) in industrial automation. The primary goals are to discover how artificial intelligence (AI) improves productivity, sustainability, and quality control in industrial processes and identify problems and potential solutions related to AI-driven PLC systems. Methodologically, the applicability and advantages of AI algorithms, such as machine learning and deep learning, in PLC systems were examined through a thorough analysis of recent literature and case studies. Important conclusions show that integrating AI significantly improved process efficiency, real-time adaptation, and energy optimization. The accuracy of AI-driven solutions in defect identification helps quality control, while AI-driven solutions support cybersecurity measures. The policy implications highlight the necessity for robust regulatory frameworks to direct the moral use of AI in industrial contexts. According to the study's findings, AI-enhanced PLC systems are a significant development in industrial automation that promises increased manufacturing productivity, sustainability, and innovation in the future.

References

Addimulam, S., Mohammed, M. A., Karanam, R. K., Ying, D., Pydipalli, R., Patel, B., Shajahan, M. A., Dhameliya, N., & Natakam, V. M. (2020). Deep Learning-Enhanced Image Segmentation for Medical Diagnostics. Malaysian Journal of Medical and Biological Research, 7(2), 145-152. https://mjmbr.my/index.php/mjmbr/article/view/687

Ahmmed. S., Sachani, D. K., Natakam, V. M., Karanam, R. K. (2021). Stock Market Fluctuations and Their Immediate Impact on GDP. Journal of Fareast International University, 4(1), 1-6. https://www.academia.edu/121248146

Anumandla, S. K. R. (2018). AI-enabled Decision Support Systems and Reciprocal Symmetry: Empowering Managers for Better Business Outcomes. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 33-41. https://upright.pub/index.php/ijrstp/article/view/129

Barmada, S., Dionigi, M., Mezzanotte, P., Tucci, M. (2017). Design and Experimental Characterization of a Combined WPT-PLC System. Wireless Power Transfer, 4(2), 160-170. https://doi.org/10.1017/wpt.2017.11

Dhameliya, N. (2022). Power Electronics Innovations: Improving Efficiency and Sustainability in Energy Systems. Asia Pacific Journal of Energy and Environment, 9(2), 71-80. https://doi.org/10.18034/apjee.v9i2.752

Dhameliya, N., Mullangi, K., Shajahan, M. A., Sandu, A. K., & Khair, M. A. (2020). Blockchain-Integrated HR Analytics for Improved Employee Management. ABC Journal of Advanced Research, 9(2), 127-140. https://doi.org/10.18034/abcjar.v9i2.738

Dhameliya, N., Sai Sirisha Maddula, Kishore Mullangi, & Bhavik Patel. (2021). Neural Networks for Autonomous Drone Navigation in Urban Environments. Technology & Management Review, 6, 20-35. https://upright.pub/index.php/tmr/article/view/141

Ju, M. L., Zhai, X. Q., Zhang, Q. (2014). Application of Siemens S7-300 PLC in the Thermal Power Plant Flue Gas Desulfurization Control System. Applied Mechanics and Materials, 511-512, 1123-1127. https://doi.org/10.4028/www.scientific.net/AMM.511-512.1123

Jun-Ho, H. (2018). PLC-Integrated Sensing Technology in Mountain Regions for Drone Landing Sites: Focusing on Software Technology. Sensors, 18(8), 2693. https://doi.org/10.3390/s18082693

Koehler, S., Dhameliya, N., Patel, B., & Anumandla, S. K. R. (2018). AI-Enhanced Cryptocurrency Trading Algorithm for Optimal Investment Strategies. Asian Accounting and Auditing Advancement, 9(1), 101–114. https://4ajournal.com/article/view/91

Liu, X., Liu, H., Liu, J., Xu, D. (2017). An Automatic Networking and Routing Algorithm for Mesh Network in PLC System. IOP Conference Series. Materials Science and Engineering, 199(1). https://doi.org/10.1088/1757-899X/199/1/012092

Maddula, S. S. (2018). The Impact of AI and Reciprocal Symmetry on Organizational Culture and Leadership in the Digital Economy. Engineering International, 6(2), 201–210. https://doi.org/10.18034/ei.v6i2.703

Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2019). From Data to Insights: Leveraging AI and Reciprocal Symmetry for Business Intelligence. Asian Journal of Applied Science and Engineering, 8(1), 73–84. https://doi.org/10.18034/ajase.v8i1.86

Mohammed, M. A., Kothapalli, K. R. V., Mohammed, R., Pasam, P., Sachani, D. K., & Richardson, N. (2017). Machine Learning-Based Real-Time Fraud Detection in Financial Transactions. Asian Accounting and Auditing Advancement, 8(1), 67–76. https://4ajournal.com/article/view/93

Mohammed, R., Addimulam, S., Mohammed, M. A., Karanam, R. K., Maddula, S. S., Pasam, P., & Natakam, V. M. (2017). Optimizing Web Performance: Front End Development Strategies for the Aviation Sector. International Journal of Reciprocal Symmetry and Theoretical Physics, 4, 38-45. https://upright.pub/index.php/ijrstp/article/view/142

Mullangi, K. (2017). Enhancing Financial Performance through AI-driven Predictive Analytics and Reciprocal Symmetry. Asian Accounting and Auditing Advancement, 8(1), 57–66. https://4ajournal.com/article/view/89

Mullangi, K. (2022). Transforming Business Operations: The Role of Information Systems in Enterprise Architecture. Digitalization & Sustainability Review, 2(1), 15-29. https://upright.pub/index.php/dsr/article/view/143

Mullangi, K., Anumandla, S. K. R., Maddula, S. S., Vennapusa, S. C. R., & Mohammed, M. A. (2018). Accelerated Testing Methods for Ensuring Secure and Efficient Payment Processing Systems. ABC Research Alert, 6(3), 202–213. https://doi.org/10.18034/ra.v6i3.662

Mullangi, K., Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2018). Artificial Intelligence, Reciprocal Symmetry, and Customer Relationship Management: A Paradigm Shift in Business. Asian Business Review, 8(3), 183–190. https://doi.org/10.18034/abr.v8i3.704

Mullangi, K., Yarlagadda, V. K., Dhameliya, N., & Rodriguez, M. (2018). Integrating AI and Reciprocal Symmetry in Financial Management: A Pathway to Enhanced Decision-Making. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 42-52. https://upright.pub/index.php/ijrstp/article/view/134

Nizamuddin, M., Natakam, V. M., Sachani, D. K., Vennapusa, S. C. R., Addimulam, S., & Mullangi, K. (2019). The Paradox of Retail Automation: How Self-Checkout Convenience Contrasts with Loyalty to Human Cashiers. Asian Journal of Humanity, Art and Literature, 6(2), 219-232. https://doi.org/10.18034/ajhal.v6i2.751

Patel, B., Mullangi, K., Roberts, C., Dhameliya, N., & Maddula, S. S. (2019). Blockchain-Based Auditing Platform for Transparent Financial Transactions. Asian Accounting and Auditing Advancement, 10(1), 65–80. https://4ajournal.com/article/view/92

Patel, B., Yarlagadda, V. K., Dhameliya, N., Mullangi, K., & Vennapusa, S. C. R. (2022). Advancements in 5G Technology: Enhancing Connectivity and Performance in Communication Engineering. Engineering International, 10(2), 117–130. https://doi.org/10.18034/ei.v10i2.715

Pinter, J. M., Trohak, A. (2013). System Integration Methods for Voice-Commanded PLC Controlled Systems. Applied Mechanics and Materials, 309, 280. https://doi.org/10.4028/www.scientific.net/AMM.309.280

Rabah, N. B., Saddem, R., Hmida, F. B., Carre-Menetrier, V., Tagina, M. (2017). Intelligent Case Based Decision Support System for Online Diagnosis of Automated Production System. Journal of Physics: Conference Series, 783(1). https://doi.org/10.1088/1742-6596/783/1/012009

Rodriguez, M., Shajahan, M. A., Sandu, A. K., Maddula, S. S., & Mullangi, K. (2021). Emergence of Reciprocal Symmetry in String Theory: Towards a Unified Framework of Fundamental Forces. International Journal of Reciprocal Symmetry and Theoretical Physics, 8, 33-40. https://upright.pub/index.php/ijrstp/article/view/136

Sachani, D. K., & Vennapusa, S. C. R. (2017). Destination Marketing Strategies: Promoting Southeast Asia as a Premier Tourism Hub. ABC Journal of Advanced Research, 6(2), 127-138. https://doi.org/10.18034/abcjar.v6i2.746

Shajahan, M. A., Richardson, N., Dhameliya, N., Patel, B., Anumandla, S. K. R., & Yarlagadda, V. K. (2019). AUTOSAR Classic vs. AUTOSAR Adaptive: A Comparative Analysis in Stack Development. Engineering International, 7(2), 161–178. https://doi.org/10.18034/ei.v7i2.711

Shi, X. J. (2014). Design and Implementation of an Embedded PLC System with Applied-Information Technology. Applied Mechanics and Materials, 685, 401-404. https://doi.org/10.4028/www.scientific.net/AMM.685.401

Vennapusa, S. C. R., Fadziso, T., Sachani, D. K., Yarlagadda, V. K., & Anumandla, S. K. R. (2018). Cryptocurrency-Based Loyalty Programs for Enhanced Customer Engagement. Technology & Management Review, 3, 46-62. https://upright.pub/index.php/tmr/article/view/137

Wang, R., Guan, Y., Liming, L., Li, X., Zhang, J. (2013). Component-Based Formal Modeling of PLC Systems. Journal of Applied Mathematics, 2013. https://doi.org/10.1155/2013/721624

Yarlagadda, V. K., Maddula, S. S., Sachani, D. K., Mullangi, K., Anumandla, S. K. R., & Patel, B. (2020). Unlocking Business Insights with XBRL: Leveraging Digital Tools for Financial Transparency and Efficiency. Asian Accounting and Auditing Advancement, 11(1), 101–116. https://4ajournal.com/article/view/94

Ying, D., & Addimulam, S. (2022). Innovative Additives for Rubber: Improving Performance and Reducing Carbon Footprint. Asia Pacific Journal of Energy and Environment, 9(2), 81-88. https://doi.org/10.18034/apjee.v9i2.753

Ying, D., Patel, B., & Dhameliya, N. (2017). Managing Digital Transformation: The Role of Artificial Intelligence and Reciprocal Symmetry in Business. ABC Research Alert, 5(3), 67–77. https://doi.org/10.18034/ra.v5i3.659

Published

2023-08-01

How to Cite

Dhameliya, N. (2023). Revolutionizing PLC Systems with AI: A New Era of Industrial Automation. American Digits: Journal of Computing and Digital Technologies, 1(1), 33-48. https://www.americandigits.com/ad/article/view/3

Most read articles by the same author(s)