Smart Water Resource Management System

Develop a distributed IoT platform that monitors water quality, usage, and availability in real-time, conforming to international IoT standards (e.g., ISO/IEC 30141 IoT Reference Architecture) and environmental data protocols. This system will provide a reliable, low-cost solution for managing water resources in water-stressed regions.

Water scarcity is a global crisis that affects billions. Efficient, data-driven water resource management requires continuous, reliable monitoring systems. By deploying IoT devices (e.g., sensors for measuring turbidity, pH, and flow rates) and integrating them into a unified cloud-based platform, this project will enable real-time insights into water system performance. The solution will leverage secure communication protocols (e.g., MQTT with TLS) and adhere to industry frameworks such as the Industrial Internet Consortium’s (IIC) Connectivity Framework and the OGC SensorThings API for sensor data interoperability.

This bounty will deliver a low-power, high-reliability IoT system that collects, transmits, and analyzes water data in real-time. The system will follow established IoT and environmental data standards, ensuring scalability and integration with broader water management initiatives. The resulting platform will be fully documented, from hardware deployment to software integration, providing a blueprint for replication in other regions.

Target Outcomes:

• A validated IoT architecture that meets ISO/IEC 30141 standards.
• Demonstrated improvements in water resource allocation and quality monitoring.
• A comprehensive implementation guide with hardware and software specifications.

10 Steps

• Review relevant IoT architecture standards (e.g., ISO/IEC 30141, Industrial Internet Consortium Reference Architecture) to design a compliant and interoperable network architecture
• Evaluate and procure IoT sensors that meet quality and durability standards (e.g., IP67 or IP68 ratings, suitable for outdoor water quality monitoring) and calibrate them to ensure precise measurements
• Implement secure, low-latency communication protocols (e.g., MQTT over TLS, CoAP) for sensor data transmission, ensuring compatibility with industry-standard IoT platforms
• Develop an edge computing framework using lightweight container technologies (e.g., Balena, K3s) to preprocess and filter data locally before cloud transmission
• Establish a scalable cloud-based data storage solution (e.g., AWS IoT Core, Azure IoT Hub) that adheres to ISO/IEC 27001 security standards and supports rapid data retrieval
• Integrate advanced analytics tools (e.g., time-series databases, predictive analytics models) into the data pipeline to identify trends in water quality, usage, and availability
• Build a responsive web-based dashboard using modern front-end frameworks (e.g., React, Vue.js) to provide real-time monitoring and analysis capabilities to water resource managers
• Conduct rigorous field testing in a pilot location, verifying the reliability of data transmission, storage, and visualization under real-world conditions
• Implement a robust device management and firmware update system to ensure long-term reliability, applying Over-The-Air (OTA) update protocols that align with IoT industry standards
• Publish detailed technical documentation, including hardware specifications, software integration guides, data security protocols, and a user operations manual to facilitate broader adoption