Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)

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Secure Chem: Real-Time Cyber Physical System in Chemical Processing Plants Using Integrated IOT and Machine Learning

Authors
B. Amirtha Sowmya1, *, A. Aashini1, Usama Abdur Rahman1
1Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India
*Corresponding author. Email: amirthasowmya8838@gmail.com
Corresponding Author
B. Amirtha Sowmya
Available Online 30 June 2025.
DOI
10.2991/978-94-6463-754-0_7How to use a DOI?
Keywords
Time Real-Time Predictive Maintenance in Chemical Processing Plants; Machine learning; Cyber-Physical Systems; Simulated Sensor Data
Abstract

The technology of CPS allows researchers to unify predictive maintenance programs with learning algorithms within chemical plants. The research study examines platform integration as it develops operational effectiveness and reduction of manufacturing stoppages while enhancing safety standards. Real-time sensor data acquisition and progressive fault identification analytics and adaptable maintenance timetables form the main parts of this investigation. The research tackles obstacles about information safety in addition to system connectivity challenges and the requirement for skilled users. Predictive maintenance systems implemented through CPS generate various advantages that lead to decreased equipment breakdowns and better resource utilization and extended equipment life. The study broadens Industry 4.0 applications comprehension within chemical industries by providing meaningful information to practitioners while addressing researchers’ needs.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
Series
Atlantis Highlights in Engineering
Publication Date
30 June 2025
ISBN
978-94-6463-754-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-754-0_7How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - B. Amirtha Sowmya
AU  - A. Aashini
AU  - Usama Abdur Rahman
PY  - 2025
DA  - 2025/06/30
TI  - Secure Chem: Real-Time Cyber Physical System in Chemical Processing Plants Using Integrated IOT and Machine Learning
BT  - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
PB  - Atlantis Press
SP  - 62
EP  - 72
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-754-0_7
DO  - 10.2991/978-94-6463-754-0_7
ID  - Sowmya2025
ER  -