International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 1 (January-February 2025) Submit your research before last 3 days of February to publish your research paper in the issue of January-February.

Intelligent Drainage Cleaning And Monitoring System

Author(s) Neeraj Raju, Dijith Jayan, Lavanya Pradeep, A V Gouwri Lakshmi, Neethu Susan Alex
Country India
Abstract In this developing era, the development leads to the rapid increase in the production of waste in our Nation. This results in the occurrence of clogs, which may lead to many problems like pandemics, floods, etc. This project proposes a novel real-time and IoT-based intelligent drainage cleaning and monitoring system to mitigate urban flooding and ensure efficient Drainage management. This integrates sensors, IoT devices, and machine learning algorithms that identify blockages, track water levels, and provide the risks of flooding. Data analytics are used in real time, hence there will be immediate decisions taken; mechanisms are available to automate the cleaning so that there will be the prompt
removal of the blockage. Thus, robotic cleaners, and other devices with such capabilities can be remotely controlled and managed. It means operators will not be on-site for immediate action. The system, through a centralized monitoring dashboard, shall provide real-time updates on the status of the entire drainage network. Such alerts for potential blockages, water levels, and maintenance schedules shall be displayed on the dashboard. Also, ensure that durable, cost-effective materials are used for the system components such as sensors, robotic cleaners, and thereby ensures affordability, especially for deployment in developing regions.
Field Engineering
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-01-22
Cite This Intelligent Drainage Cleaning And Monitoring System - Neeraj Raju, Dijith Jayan, Lavanya Pradeep, A V Gouwri Lakshmi, Neethu Susan Alex - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.35626
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.35626
Short DOI https://doi.org/g82wn4

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