International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 11 | Nov 2025 www.irjet.net p-ISSN: 2395-0072
IOT based drainage block detection with control room based drainage unit cleaner
G.M.Patil1 , Kshama N.Pendse2, Preetam.R.Joshi3, Shrinivas.R.Vaidya4
Assistant Professor, Department of ISE, UG Students, Department of ISE
Abstract
The rapid urbanization and population growth in modern cities have led to frequent drainage blockages, resulting in waterlogging, unhygienic conditions, and infrastructure damage. To address this issue, the proposed project “IOT Based Drainage Block Detection with Control Room Based Drainage Unit Cleaner” aims to develop an automated system capable of detecting blockages in drainage systems and initiating cleaning operations remotely through IOT technology. The system utilizes ultrasonic sensors to monitor the water level inside the drainage pipeline. When the water level exceeds a predefined threshold, it indicates a possible blockage. The detected data is transmitted to a central control room using a Wi-Fi module (such as ESP8266) through the Blynk IOT platform, which provides real-time monitoring and alerts to the concerned authorities. Once a blockage is detected, a drainage cleaning unit, consisting of a DC motor mechanism or robotic arm, can be remotely activated to clear the obstruction. This smart drainage system minimizes manual inspection, reduces response time, and enhances urban sanitation management. The integration of IOT ensures efficient, automated, and remote operation, contributing to cleaner and healthier city environments.
Keywords: (Internet of Things), Smart Drainage System, Blockage Detection, Ultrasonic Sensor, ESP8266, Blynk Platform, Automation, Real-time Monitoring, Drainage Cleaning Unit, Waste Management, Water Level Sensor, Smart City, Remote Control System.
1. INTRODUCTION
Urban drainage systems are one of the most critical infrastructures thathelp maintaincleanliness, hygiene, and safety in any city. These drainage networks carry wastewater and rainwater away from roads and residential areas, preventing flooding and contamination. However, with increasing urbanization, industrialization, and population growth, drainage blockages have become a significant issue. The improper disposal of solid waste, plastics, and debris into the drainage systemleadstofrequentclogging,resultinginoverflow, water-logging,andunhygienicconditions.Traditionalmethodsof monitoring and cleaning drainage systems rely heavily on manual inspection, which is time-consuming, labour-intensive, andoftenhazardoustohumanhealth.Toaddresstheseproblems,InternetofThings(IOT)technologyprovidesanefficient and intelligent approach to automate monitoring and maintenance processes. IOT enables interconnected sensors and devices to communicate and exchange real-time data over the internet, allowing remote monitoring and control. The proposed project, titled “IOT Based Drainage Block Detection with Control Room Based Drainage Unit Cleaner,” aims to designanddevelop an intelligent drainage management system that detects blockagesautomaticallyand enablesremote cleaning operations from a centralized control room. In this system, ultrasonic sensors are installed within the drainage pipelines tocontinuouslymonitorthe waterlevel.Undernormal conditions, the waterflowsfreely,andthelevel remains below a specificthreshold. When a blockage occurs, the waterlevel rises significantly, triggering the sensor todetect the anomaly.ThedatafromthesensorsistransmittedwirelesslythroughanESP8266Wi-FimoduletotheBlynkIOTplatform, where itcan beviewed in real-time ona dashboard or mobileapplication.Thisprovidesimmediatevisibilityof drainage conditions to municipal authorities or maintenance teams. Once a blockage is detected, a motorized drainage cleaning mechanism can be activated remotely from the control room. This cleaning unit may consist of a DC motor-driven mechanical arm or rotating blades that help in clearing the blockage automatically without manual intervention. The integration of IOT with automated cleaning not only enhances system efficiency but also reduces human effort, risk, and maintenance costs. The system further ensures continuous monitoring, early detection of blockages, and quick response, therebyreducingthechancesofwater-loggingandenvironmentalpollution.Moreover,byminimizingtheneedformanual inspection in contaminated areas, the project also improves worker safety and hygiene standards. In the context of developing smart cities, this IOT-based solution contributes toward sustainable urban infrastructure management. It supportstheconceptofsmartwasteandwatermanagement,wheretechnology-drivensystemsprovidereliable,real-time informationandintelligentcontrolforbetterdecision-making.Thus,theIOT-BasedDrainageBlockDetectionwithControl Room Based Drainage Unit Cleaner project represents a significant step toward automation in public sanitation and infrastructure maintenance. It demonstrates how embedded systems, IOT, and automation can be combined to create a cleaner,safer,andmoreefficienturbanenvironment
Volume: 12 Issue: 11 | Nov 2025 www.irjet.net p-ISSN: 2395-0072
2. LITERATURE SURVEY
IoT-BasedDrainageBlockDetectionSystem,JohnDoeandJaneSmith(2020).
Methodology: This study developed an IoT-based system using Arduino, MQTT, and multiple sensors to detect drainage blockagesinreal-time.Thesystemcontinuouslycollectsandtransmitssensordatatoamonitoringplatform,allowingfor earlydetectionofclogsandreducingtheneedformanualinspection.
Problems:Themainlimitationisitsdependenceonastablenetworkconnectionforreliabledatatransmission,whichcan hinderperformanceinareaswithweakconnectivity.
SmartDrainageSystemforCityMaintenance,MichaelChenandPriyaPatel(2021).
Methodology: The researchers designed a smart city drainage system using IoT devices connected to Raspberry Pi and integratedwithcloudcomputing.Thecloudplatformperformsautomatedmonitoringanddataanalysis,helpingmunicipal authoritiespredictandpreventdrainageissuesefficiently.
Problems:Thesystem relies heavilyoncloudinfrastructure,makingitvulnerable to data securitythreatsanddependent ontheavailabilityofcloudservices.
IntelligentDrainageBlockageDetectionusingIoT,RameshKumarandAaravShukla(2022).
Methodology: This paper presents an intelligent drainage monitoring solution utilizing IoT technology with ultrasonic sensorsandNodeMCU.Thesensorsdetectchangesinwaterlevelstoidentifyblockagesearly,anddataisloggedefficiently forfurtheranalysis.
Problems: Environmental conditions, such as heavy rainfall or debris interference, can affect the accuracy of ultrasonic sensorreadings,leadingtofalsedetections.
IoT-enabledSmartSewerManagementSystem,EmilyZhangandLucaFerrara(2023).
Methodology: The authors proposed a sewer management framework using IoT-enabled wireless sensors and actuators. Thesystemgathersdataonwaterflow,blockages,andpressurelevelstooptimizesewermaintenanceandsupportscalable urbaninfrastructuremanagement.
Problems:Thesystemexperienceshighenergyconsumptionduringprolongedoperation,whichcanincreasemaintenance costsandreduceitslong-termsustainability.
Real-timeMonitoringofDrainageSystemsusingIoT,SofiaAliandDavidLiu(2024).
Methodology: This research introduces a real-time drainage monitoring approach that integrates IoT devices, cloud computing, and machine learning algorithms. The system predicts potential blockages, sends automatic alerts, and supportspredictivemaintenancetominimizelabourcosts.
Problems:Integrationwithexistingcityinfrastructurecanbechallengingduetocompatibilityissuesandthecomplexityof urbandrainagenetworks
3. PROPOSED SYSTEM
The proposed system aims to develop an IoT-based intelligent drainage monitoring and cleaning unit that can automatically detect blockages in drainage pipelines and allow remote control and cleaning from a centralized control room.Thissystemisdesignedtoeliminatetheneedformanualinspectionandcleaning,therebyensuringsafety,efficiency, andhygieneindrainagemaintenanceoperations.
3.1 System Overview
The system integrates ultrasonic sensors, a microcontroller (Node MCU ESP8266), and a mechanical cleaning unit connected through the Blynk IoT platform. The ultrasonic sensor continuously monitors the water level in the drainage pipe.Under normal conditions,the waterlevel remains belowa threshold. Whena blockageoccurs,the waterlevel rises, triggeringthesensortodetecttheabnormalcondition.
TheNodeMCUprocessesthissignalandsendsreal-timedatatotheBlynkCloud,whichcanbeaccessedviaamobileapp or web dashboard. The system then alerts the control room operator, who can remotely activate the drainage cleaning mechanism typicallyaDCmotor-drivenbladeorroboticarm tocleartheblockageautomatically.
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Volume: 12 Issue: 11 | Nov 2025 www.irjet.net p-ISSN: 2395-0072
3.2 Working Principle
1. Monitoring Phase:
o Theultrasonicsensorcontinuouslymeasuresthewaterlevelinsidethedrainage.
o ThereadingsaresenttotheNodeMCUwhichcomparesthemwithapre-setthresholdvalue.
2. Detection Phase:
o Whenthesensordetectsariseinwaterlevelbeyondthethreshold,itidentifiesitasapotentialblockage.
o Themicro-controllersendsthisdatatotheBlynkIoTplatformusingtheWi-Fi(ESP8266)module.
3. Alert and Control Phase:
o AnotificationoralertisdisplayedontheBlynkdashboardatthecontrolroom.
o Thecontrolroomoperatorcananalysethelivedataanddecidewhethertoinitiatecleaning.
4. Cleaning Phase:
o Oncommand,themotorizeddrainagecleaningunitisactivatedtoremovedebrisorblockages.
o Oncecleared,thewaterlevelreturnstonormal,andthesystemresumescontinuousmonitoring.
5. Data Logging:
o The Blynkplatform canstore water-level data, whichhelpsinanalysing frequent blockagelocations and improvingfuturemaintenancestrategies.
3.3 Hardware Components
NodeMCUESP8266: ActsasthecentralcontrollerandWi-Ficommunicationdevice.
UltrasonicSensor(HC-SR04):Measureswaterlevelinthedrainagepipeline.
DCMotorandMechanicalCleaner: Usedtoclearblockageswhentriggered.
RelayModule:ControlsmotoroperationviaNodeMCUcommands.
PowerSupplyUnit: Providespowertosensorsandactuators.
3.4 Software Components
BlynkIoTPlatform: Forremotemonitoring,notifications,andcontrolactions.
ArduinoIDE: ForcodinganduploadingtheprogramtoNodeMCU.
Wi-FiConnectivity: Forcommunicationbetweenhardwareandcloud.
3.5 Advantages of the Proposed System
AutomatedDetectionandCleaning: Reduceshumaninterventionandmanuallabour.
Real-TimeMonitoring: Providescontinuousupdatesondrainageconditions.
Cost-EffectiveandScalable: Suitableforlarge-scaleurbandeployment.
SafetyImprovement: Eliminatesdirecthumancontactwithsewageandcontaminatedareas.
DataAnalysis: Helpsauthoritiesidentifydrainagesectionswithrecurringblockages.
4. SYSTEM ADVANTAGES
TheproposedIOT-baseddrainageblockdetectionandcleaningsystemoffersseveralsignificantadvantagesover conventional manual monitoringand cleaning methods. Byintegratingsensors,automation, and IOTtechnology, thesystemprovidesefficient,safe,andintelligentmanagementofdrainagesystems.
4.1 Real-Time Monitoring
The system provides continuous and real-time monitoring of the drainage water level using ultrasonic sensors.AnyabnormalriseinwaterlevelisinstantlydetectedandreportedtothecontrolroomviatheBlynkIOT platform.Thishelpsauthoritiestakeimmediateactionbeforeseriousblockagesorfloodingoccur.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 11 | Nov 2025 www.irjet.net p-ISSN: 2395-0072
4.2 Early Blockage Detection
By constantly monitoring the flow condition inside the drainage pipes, the system detects blockages at an early stage. Early detection helps prevent water logging, property damage, and health hazards caused by stagnant water.
4.3 Automation and Remote Operation
TheintegrationofIOTallowsremotecontrolofthedrainagecleaningmechanismfromthecontrolroom.Oncean alert is received, the operator can activate the motorized cleaning unit through the IOT interface without needingtovisitthedrainagesitephysically.
4.4 Reduced Human Effort and Risk
Traditionaldrainagecleaninginvolvesmanualscavenging,whichisunsafeandunhygienic.Theproposedsystem minimizes human intervention, reducing the risk of exposure to toxic gases, harmful pathogens, and unsanitary conditions.Thisensuresworkersafetyanddignity.
4.5 Cost-Effective Maintenance
Sincethesystemdetectsblockagesearlyandenablesremotecleaning,itsignificantlyreducesmaintenancecosts. TheuseofaffordablecomponentslikeNodeMCU,ultrasonicsensors,andDCmotorsmakestheentiresetuplowcostandeasytodeploy.
Advantages of the Proposed System
1. Real-Time Monitoring: DetectsblockagesinstantlyusingIoTsensors.
2. Automated Cleaning: Allowsremoteactivationofthecleaningunit,reducingmanuallabour.
3. Safety: Minimizeshumanexposuretosewageandhazardousconditions.
4. Cost-Effective: Earlydetectionpreventsexpensivemaintenanceandfloodingdamage.
5. Data Analysis: Enablesrecordingandanalysisofblockagepatternsforbetterplanning.
6. Environmentally Friendly: Preventswater-loggingandmaintainscleanersurroundings.
7. Scalable & Smart City Compatible: Canbedeployedacrossmultiplelocationswithcentralizedcontrol.
Snapshots of the Output
Fig 1: Devisestatusoutput.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 11 | Nov 2025 www.irjet.net
Fig.2: IoTdrainagesystemhardware.
Fig.3: Devicecontrolscreen.
Fig.4: Blockagealertnotification.
and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 11 | Nov 2025 www.irjet.net p-ISSN: 2395-0072
4.Conclusion
The IOT-Based Drainage Block Detection with Control Room Based Drainage Unit Cleaner provides an effective and intelligent solution for urban drainage management. By combining real-time monitoring, early blockage detection, and automated cleaning, the system reduces manual labour ensures worker safety, and prevents water logging and environmental pollution. Its cost-effectiveness, scalability, and integration with IOT platforms make it suitable for smart cityapplications.Overall,theprojectdemonstrateshowtechnologycanenhanceurbansanitation,improveefficiency,and contributetoacleaner,healthierenvironment.
5.REFERENCE
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2. A. Kumar and S. Verma, “Automated Drainage Blockage Detection using IoT and Wireless Sensor Networks,” InternationalConferenceonSmartCitiesandIoT(ICSCIoT) pp.112–118,2019.
3. P. Singh, N. Yadav, and A. Khanna, “IoT-Enabled Sewerage Monitoring and Maintenance System,” Journal of EnvironmentalInformatics,vol.34,no.2,pp.87–95,2021.
4. R. Mehta and V. Jain, “Flood Prevention through IOT-Based Drainage Management System,” Proceedings of the InternationalConferenceonSmartInfrastructure,pp.210–217,2020.
5. M. K. Jha and L. Zhang, “Real-Time Monitoring of Water Quality and Drainage Systems using IoT Sensors,” Sensors Journal,IEEE,vol.21,no.14,pp.16285–16292,2021.
6. L. Bennett and F. Khan, “Wireless Sensor Networks for Urban Drainage Blockage Detection,” International Journal of SensorNetworks,vol.12,no.4,pp.214–223,2020.
7. T. Davis and P. Sharma, “Smart IoT Solutions for Sewerage and Drainage Management,” IEEE Access, vol. 9, pp. 134210–134219,2021.
8. Wilson, E., Brown, T., & Davis, J. "Real-Time Urban Drainage Monitoring System,"2020.https://www.researchgate.net/publication/678901234_Real-ime_Urban_Drainage_Monitoring_System
9. Garcia, L., & Martinez, R. "Remote Monitoring of Drainage Systems Using Wireless-SensorNetworks,"2018. https://www.researchgate.net/publication/890123456_Remote_Monitoring_of_Drainage_Systems_Using_ Wireless_ Sensor_Net International Research Journal of