REAL-TIME MONITORING AND CONTROL IN AUTOMATED INDUSTRIAL ENVIRONMENTS

Authors

  • Fayziev Amirulla Xayrullayevich teacher, Bukhara state technical university

Keywords:

real-time monitoring, industrial automation, automated environments, sensors and data acquisition, PLCs, SCADA systems, Communication networks, data analytics, machine learning, cybersecurity, computing, process optimization.

Abstract

This article provides an in-depth exploration of real-time monitoring and control systems within automated industrial environments. It outlines the critical role of sensors, PLCs, SCADA systems, and robust communication networks in enhancing operational efficiency, safety, and predictive maintenance. The discussion extends to advanced data analytics and machine learning applications that drive proactive decision-making and process optimization. Challenges such as latency, cybersecurity, and system integration are examined, along with emerging trends including edge computing, digital twins, augmented reality, and sustainability integration. Overall, the article underscores the transformative impact of real-time monitoring and control on modern industrial automation, paving the way for a smarter, safer, and more efficient industrial future.

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References

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Zhang, Q., & Chen, Y. (2021). Cybersecurity in Automated Industrial Environments: Challenges and Solutions. IEEE Transactions on Industrial Informatics, 17(6), 4160-4171.

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Published

2025-04-04

How to Cite

Fayziev Amirulla Xayrullayevich. (2025). REAL-TIME MONITORING AND CONTROL IN AUTOMATED INDUSTRIAL ENVIRONMENTS. Journal of Applied Science and Social Science, 15(04), 55–60. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/906

Issue

Vol. 15 No. 04 (2025): Volume 15 Issue 04

Section

Articles

License

Creative Commons License

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