Intelligent Monitoring System
Smart River Chief Water Quality Monitoring System
Smart River Chief Expert: Real-time, Precise, and Intelligent Monitoring
Real-time monitoring of water quality
The system is available in three versions: a web platform, an iOS app, and an Android app. Regulatory personnel can use the apps to access real-time monitoring data, historical monitoring records, and live video feeds anytime, anywhere, enabling them to stay abreast of water quality conditions at all times. When monitoring data deviates from normal thresholds, the system automatically triggers SMS alerts and sends anomaly notifications directly to the mobile phones of regulatory staff, thereby supporting oversight and enabling truly unattended operation.
Rapid identification of pollution sources (source tracing)
By deploying a large number of sensors at trend stations to collect data, rapid monitoring can be achieved, enabling the timely detection of pollution incidents and their sources. Although sensor-derived data is less precise than that from reference stations, intelligent dynamic calibration on a grid-based big-data platform allows for: first, the integration of trend-station data with reference-station data to monitor water-quality trends; and second, the real-time reflection of water-quality trends by trend-station data combined with comprehensive analysis of precise reference-station data, thereby accurately pinpointing pollution sources and achieving precise, comprehensive, and timely representation of water-quality conditions.
Early Prediction and Early Warning of River (Lake) Pollution Events
Based on regional water-body monitoring data and leveraging hydrological and geographic information, the system can analyze the spatial distribution of polluted watersheds and, using specialized environmental data-analysis models, predict and issue early warnings for the impact zones of river (or lake) pollution events and algal blooms in lakes.
Provide scientific recommendations for watershed management and pollution reduction.
Based on data analysis, recommendations are made for reducing pollution in the watershed.
Solution
Construction of Shore-Based Reference Stations
Using automated water-quality monitoring stations at each cross-section—ranging from micro-stations to integrated stations—as reference stations, we precisely monitor multiple water-quality parameters, including COD, ammonia nitrogen, total phosphorus, and total nitrogen.
Add trend stations
Establish real-time, high-density monitoring stations at industrial parks, wastewater treatment plants, discharge enterprises, sewage outfalls in residential communities, and inflow points of drinking water source areas as trend-monitoring stations.
System Platform Networked Management
Intelligent, dynamic management on a grid-based big-data platform enables precise identification of pollution sources, thereby providing accurate, comprehensive, and timely insights into water-quality conditions.
Extensive sensor deployment
A large number of sensors are deployed at trend stations to collect data, forming buoy stations and shore-based stations, thereby enabling rapid monitoring and the timely detection of pollution incidents and their sources.
Contact Information
Tel: +86 512-63182639
Fax: +86 512-63182639
Website: www.nbejt.com
Address: West Side of Chuangju Road, Linhu Economic Development Zone, Qidu Town, Wujiang District, Suzhou City, Jiangsu Province
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