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An Intelligent Water Monitoring IoT System for Ecological Environment and Smart Cities
Shih-Lun Chen1, He-Sheng Chou1, Chun-Hsiang Huang1
1Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan City 320314, Taiwan.
Sensors (Basel, Switzerland)
|October 28, 2023
Summary
This study presents an AI-powered smart water management system using IoT devices. The technology enhances water level accuracy and conserves resources, offering a sustainable solution for urban environments facing extreme climate events.
Area of Science:
- Environmental Science
- Artificial Intelligence
- Internet of Things
Background:
- Extreme climate events are increasing global precipitation intensity.
- Effective water resource management is crucial for sustainable urban and ecological environments.
- Existing technologies lack cost-efficiency and precision in water monitoring.
Purpose of the Study:
- To develop an AI-driven smart monitoring system for water level and quality control.
- To create a low-cost, low-power, high-precision IoT solution for water management.
- To enhance water resource reservation and modification efficiency in urban areas.
Main Methods:
- Integration of multiple sensors (liquid level, turbidity, pH, oxygen).
- Utilizing artificial intelligence with historical rainfall and weather data for water level computation.
- Implementation of dynamic adjustment systems for real-time water resource management.
Main Results:
- Achieved over 60% cost savings compared to existing technologies.
- Enhanced water level measurement accuracy by over 15% through multi-sensor calibration.
- Demonstrated potential for over 15% water resource conservation.
Conclusions:
- The proposed AI-based IoT system offers a cost-effective and accurate solution for smart water management.
- Dynamic adjustment systems significantly improve water resource efficiency and conservation.
- This technology can mitigate losses from floods, droughts, and ecological issues in smart cities.
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