IoT-Based Smart Sanitation and Water Telemetry System

Abstract

The escalating global water crisis and stringent public hygiene standards necessitate a definitive shift from passive, manually operated sanitation infrastructure to intelligent, autonomous ecosystems. Conventional water distribution networks suffer from chronic volumetric waste, mechanical vulnerabilities such as pump cavitation, and a pervasive absence of empirical consumption telemetry. To resolve these systemic flaws, this paper proposes a closed-loop Internet of Things (IoT) architecture designed to transform traditional plumbing into a fully data-driven network. At the edge layer, a dual-core microcontroller orchestrates a precision transducer suite, executing touchless actuation via active infrared sensors to enforce epidemiological safety, while an inline Hall-effect sensor precisely quantifies volumetric consumption. Concurrently, an integrated ultrasonic depth-mapping algorithm enforces a deterministic hysteresis loop, actively protecting high-voltage pumping infrastructure from dry-running and overflow without human intervention. Synchronized via persistent WebSocket connections to a real-time cloud database, the system provides an enterprise-grade dashboard for live telemetry visualization and cryptographically authenticated remote hardware overrides. Experimental results validate the system\'s ability to seamlessly merge local infrastructural protection with low-latency global analytics, significantly curtailing resource waste while enabling verifiable sustainability auditing.

Introduction

Water scarcity, rapid urbanization, and inefficient traditional water management systems have created a need for intelligent resource optimization. Conventional domestic and industrial water networks depend heavily on manual control, resulting in water wastage, poor monitoring, overflow risks, pump failures, and lack of real-time consumption data. This research proposes an IoT-Based Smart Sanitation and Water Telemetry System that integrates automated control, real-time monitoring, and cloud-based analytics to improve water conservation, infrastructure protection, and operational efficiency.

The proposed system combines edge computing, IoT sensors, cloud synchronization, and automated control mechanisms to create a closed-loop water management solution. It addresses major issues such as uncontrolled water usage, manual valve operation, tank overflow, pump dry-running, and absence of detailed water consumption analysis.

The literature review highlights advancements in smart water management, including:

• Sensor-based sanitation systems for improved conservation.
• Ultrasonic sensors for accurate water-level monitoring.
• Hall-effect flow sensors for precise water usage measurement.
• Cloud-based real-time databases for low-latency communication.
• Touchless infrared-based systems for hygiene improvement.
• Hysteresis control algorithms for protecting pumps from frequent switching and mechanical damage.

However, existing solutions are often fragmented, lacking a unified architecture that combines user interaction, water monitoring, automation, and infrastructure protection. This research addresses this gap by developing an integrated IoT platform capable of operating reliably even under network limitations.

The system follows a three-layer IoT architecture:

1. Perception Layer (Edge Hardware):
   • Uses an ESP32 microcontroller for local processing.
   • Collects data from sensors and controls actuators.
   • Handles simultaneous sensing, communication, and automation tasks.
2. Network Layer (Cloud Infrastructure):
   • Uses Wi-Fi communication with a Firebase Realtime Database.
   • Provides sub-second synchronization through WebSocket communication.
   • Enables remote monitoring and control.
3. Application Layer:
   • Provides a web dashboard for visualization and management.
   • Displays water usage, tank levels, alerts, and system status.

The hardware system includes:

• YF-S201 Hall-effect flow sensor for measuring water consumption using pulse-based flow detection.
• SR04M-2 ultrasonic sensor for monitoring tank water levels.
• Infrared proximity sensors for touchless water dispensing.
• Opto-isolated relays for safely controlling high-power devices like pumps and valves.

The embedded firmware uses advanced algorithms for reliability:

• Interrupt Service Routines (ISRs): enable accurate flow measurement by capturing high-frequency sensor pulses without data loss.
• Deterministic hysteresis control: prevents frequent pump switching by activating the pump only between defined water-level thresholds. This reduces energy waste and protects pumps from cavitation and damage.
• Asynchronous processing: separates local control from cloud communication, ensuring stable operation even with network delays.

The system stores telemetry data such as water consumption and tank capacity in the cloud database. A web dashboard provides real-time visualization and allows secure remote control using authentication mechanisms.

Experimental testing showed successful integration of sensors, actuators, and cloud communication. The system achieved:

• Accurate automated water dispensing.
• Real-time dashboard updates within seconds.
• Reliable pump protection through hysteresis-based control.
• Stable operation without electrical faults.
• Improved water monitoring and resource management.

Conclusion

This research successfully architected and implemented an \"IoT-Based Smart Sanitation and Water Telemetry System,\" definitively shifting legacy hydraulic management toward an autonomous, data-centric paradigm. The integration of a dual-core edge node with precise transducer arrays successfully eliminated hygienic cross-contamination through active infrared actuation. Furthermore, utilizing high-speed hardware interrupts coupled with Hall-effect sensors established an accurate framework for volumetric ESG auditing, overcoming the empirical blindness of traditional systems. The empirical validation of the integrated hysteresis algorithms confirmed the system\'s ability to autonomously protect vital pumping infrastructure, while persistent WebSocket cloud synchronization enabled highly responsive, secure remote administration

References

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Copyright

Copyright © 2026 Yash Anant Masne, Kunal Ranjit Kubde, Sumit Suresh Devche, Prajot Gajanan Shejole, Shaikh Samar Shaikh Akhtar, Prof. Pradip Ramesh Bhakare. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.