REWARDING – Remote Water Quality Monitoring and Intelligence
Author(s): Dejan Vukobratović,
Long Story Short
Effective water quality monitoring has become a global necessity due to increasing environmental pressures and climate change. The REWARDING project seeks to address this challenge through an innovative system integrating the Internet of Things (IoT), Machine Learning (ML), and Artificial Intelligence (AI). By combining cutting-edge technologies, the project offers a scalable, real-time solution to monitor, predict, and manage water quality in diverse aquatic environments. The system consists of smart buoys equipped with sensors, drones for remote data collection, cloud-based analytics, and hybrid communication protocols like LoRa and NB-IoT. This framework provides comprehensive insights into water quality, empowering stakeholders with actionable data to ensure sustainable resource management.
Main Content
System Features: The solution uses sensors embedded in smart buoys to monitor parameters like pH, turbidity, and dissolved oxygen. Drones assist in data collection in remote areas.
Technology Integration: Combines LoRa and NB-IoT for data communication, with cloud platforms like InfluxDB for storage and Grafana for visualization.
Predictive Analytics: Employs hybrid LSTM and LOWESS models to forecast water quality, enabling proactive management.
Deployment Plan: Focuses on site preparation, system calibration, and performance testing under varied environmental conditions.
Impact on Industry
The REWARDING system represents a breakthrough in environmental monitoring, showcasing the potential of IoT and AI to address complex challenges.
Technological Contributions
Innovation: The system introduces an adaptable, scalable model for real-time environmental monitoring, reducing dependency on manual processes.
Contribution: Enhances decision-making in water resource management, emergency response, and pollution mitigation.
Scalability: Supports broader deployment with modular hardware and software, offering a flexible foundation for environmental solutions.
Applications
Water Resource Management: Enables precise monitoring and management of aquatic systems.
Pollution Mitigation: Identifies contamination trends and sources for targeted action.
Emergency Response: Facilitates rapid assessments during environmental crises.
Conclusion
The REWARDING project sets a new standard for water quality monitoring by integrating IoT and AI technologies. Its holistic approach, from real-time data collection to predictive analytics and visualization, ensures robust and sustainable management of water resources. Future developments aim to refine the system’s ML models and expand its applicability to a broader range of environmental challenges.
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