IoT‑Enabled Sensor Fusion for Predictive Monitoring of Catalyst Behavior in Automated Chemical Reaction Systems

V. Sumathi, Shashi V. Ranga, A. Dhamotharan, Balaramesh Palanivelu, Ajmeera Kiran, Swathi S.

2025

Abstract

The real-time predictive monitoring of catalyst behavior in chemical process automation is imperative for efficiency, safety, and sustainability in the dynamic field. In this paper, we propose an IoT-based sensor fusion framework for monitoring, predicting, and analyzing catalyst lifecycle behavior in automatic reaction systems. Rather than providing vague or time-lagged information as is common in the current methods, our system comprises of high-fidelity, catalyst-specific sensors married with adaptive sensor fusion and machine learning algorithms to generate detections on parameters of interest, namely temperature, pressure, chemical concentration, and catalyst activity in situ and in real time. To overcome such drawbacks commonly identified in the literature, the proposed architecture supports the hardware-enforced low latency transmission of data, drift compensation, and dynamic feedback suitable for predictive control. In addition, the framework enables a full lifecycle model of catalysts ranging from activation to deactivation which can facilitate more informed decision-making in convoluted reaction spaces. The experimental validation in different industrial scenarios further testifies the robustness, scalability and accuracy of the proposed system, paving the way toward an intelligent automation of processes. This work paves the way for proactive maintenance, sustainability, and smart monitoring of the state of chemical manufacturing.

Paper Citation

in Harvard Style

Sumathi V., Ranga S., Dhamotharan A., Palanivelu B., Kiran A. and S. S. (2025). IoT‑Enabled Sensor Fusion for Predictive Monitoring of Catalyst Behavior in Automated Chemical Reaction Systems. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 202-211. DOI: 10.5220/0013860300004919

in Bibtex Style

@conference{icrdicct`2525,
author={V. Sumathi and Shashi Ranga and A. Dhamotharan and Balaramesh Palanivelu and Ajmeera Kiran and Swathi S.},
title={IoT‑Enabled Sensor Fusion for Predictive Monitoring of Catalyst Behavior in Automated Chemical Reaction Systems},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={202-211},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013860300004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - IoT‑Enabled Sensor Fusion for Predictive Monitoring of Catalyst Behavior in Automated Chemical Reaction Systems
SN - 978-989-758-777-1
AU - Sumathi V.
AU - Ranga S.
AU - Dhamotharan A.
AU - Palanivelu B.
AU - Kiran A.
AU - S. S.
PY - 2025
SP - 202
EP - 211
DO - 10.5220/0013860300004919
PB - SciTePress