International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Artificial Intelligence–Based Architecture for Smart Operation of a Medium Capacity Sewage Treatment Plant |
|---|---|
| ABSTRACT | Sewage Treatment Plants (STPs) are energy-intensive and complex systems requiring continuous monitoring and precise control to ensure regulatory compliance and operational efficiency. Conventional automation strategies based on fixed logic and manual intervention often fail to adapt to dynamic influent characteristics and biological process variability. This paper presents a comprehensive Artificial Intelligence (AI)–based system architecture for a medium capacity STP. The proposed architecture integrates field instrumentation, PLC–SCADA systems, edge computing, machine learning models, and a digital twin framework to enable predictive control, energy optimization, and proactive maintenance. The AI-enabled approach significantly enhances effluent quality compliance, reduces energy consumption, minimizes operational costs, and improves overall plant reliability. The study demonstrates that AI adoption at a mid-scale STP is technically feasible and economically viable. |
| AUTHOR | AMIT ATRI, DEEPIKA KATARIA, NITYA KUMAR, VANSH, SUMIT KAUSHIK, MADHAV Department of Electrical and Electronics Engineering, School of Engineering and Technology, Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad, Haryana, India Department of Computer Science and Engineering, School of Engineering and Technology, Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad, Haryana, India |
| VOLUME | 181 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1402018 |
| pdf/18_Artificial Intelligence–Based Architecture for Smart Operation of a Medium Capacity Sewage Treatment Plant.pdf | |
| KEYWORDS | |
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