Paper Key : IRJ************338
Author: Dr.p.v. Kashid ,Piyush Bhagat,Tejal Kavthe,Snehal Dongare,Sakshi Mohite
Date Published: 04 Apr 2025
Abstract
Drainage systems are critical for maintaining urban infrastructure and preventing flooding, butblockages pose significant challenges to their functionality. This paper presents an Internet of Things(IoT)-based solution for real-time monitoring and detection of drainage blockages. The proposedsystem utilizes a network of sensors, including ultrasonic sensors for level measurement and vibrationsensors for detecting obstruction, integrated with a cloud platform for continuous data analysis. Thesystem provides instant notifications when blockages are detected, allowing timely interventions. Thedata collected is analyzed using machine learning algorithms to predict potential blockages based onhistorical patterns. Additionally, the system is scalable and can be deployed in urban areas to improvethe efficiency of drainage maintenance, reduce operational costs, and enhance public safety.Experimental results demonstrate the systems ability to detect blockages with high accuracy and lowlatency. This approach offers a promising solution to the challenges of drainage management and couldsignificantly reduce the risks of flooding caused by blockages