The Smart Water Network Monitoring System is an intelligent monitoring and alert platform for river, lake, and water area management. The system provides observation and data collection, power and data transmission, and data management and analysis capabilities. Using IoT technology to equip "River Chiefs" with big data, it enables multi-source information fusion and intelligent analysis alerts. With high reliability, low lifecycle costs, and excellent scalability, it effectively enhances water quality monitoring and provides scientific decision-making support for regional water management.
Through real-time monitoring of regional water ecology, backed by a powerful analytics system, the platform enables precise pollution source location and dynamic pollution range alerts. Integrating underwater IoT technology, underwater energy transmission and communication coupling, and underwater sensing detection and analysis technology, it establishes a water environment sensing network combining structure, hardware, software, and sensing technologies. Using Jiangsu's characteristic platform monitoring stations as IoT aggregation nodes, it integrates existing monitoring site data for full-network coordination and large-scale water ecology sensing.
Deploy water quality sensors, water level gauges, flow meters, and more — real-time collection of temperature, pH, dissolved oxygen, turbidity, ammonia nitrogen, and other key indicators.
Solar power and low-power communication technology — supports 4G/5G, NB-IoT and other transmission methods for 24/7 stable operation.
Unified data platform for cleaning, storage, and analysis of heterogeneous data — supports historical queries, trend analysis, and report export.
Based on hydrological models and pollutant dispersion algorithms — precise pollution source location and dispersion path analysis for emergency decision support.
Multi-level water quality alert thresholds — auto-triggered alerts via SMS, APP, and dashboards for early detection and rapid response.
Using "water body scout" monitoring stations as aggregation nodes — integrating existing monitoring sites to build a full-coverage, real-time controlled sensing network.