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