International Journal For Multidisciplinary Research
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Volume 7 Issue 1
January-February 2025
Indexing Partners
Intelligent Drainage Cleaning And Monitoring System
Author(s) | Neeraj Raju, Dijith Jayan, Lavanya Pradeep, A V Gouwri Lakshmi, Neethu Susan Alex |
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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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E-ISSN 2582-2160
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