Optimizing Sewage Systems for Real-Time Flow Analysis and Predictive Maintenance with IoT and LSTM

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Shanmugam, Kannan and Kasthuri, N. and Nagalakshmi, T. J. and Mohankumar, N. and Suresh Kumar, M and Rajmohan, M. (2024) Optimizing Sewage Systems for Real-Time Flow Analysis and Predictive Maintenance with IoT and LSTM. In: UNSPECIFIED.

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Abstract

This research introduces a real-time method for analyzing sewage flow using IoT sensors and LSTM networks. Preventative maintenance plans predict issues such as backups and overflows, saving costs and reducing environmental impact. Experimental results confirm accurate prediction of flow irregularities, ensuring long-term sustainability and efficient operation of urban sewage systems. © 2025 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science > Artificial Intelligence
Divisions: Medicine > Vinayaka Mission's Medical College and Hospital, Karaikal
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 27 Nov 2025 07:09
URI: https://vmuir.mosys.org/id/eprint/2088

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