Application Cases of Rainwater Pipe Network Monitoring in Chongqing

3) System Composition and Configuration:
The monitoring microstation comprises multiple coordinated components to ensure measurement accuracy and system reliability:
pH sensor: With a measurement range of 0–14 pH, it accurately monitors water acidity or alkalinity, serving as a critical parameter for water quality assessment.
Dissolved oxygen sensor: Ranging from 0 to 20 mg/L, it provides real-time data on dissolved oxygen levels, which are essential for evaluating aquatic self-purification capacity and ecosystem health.
COD sensor: With a range of 0–1000 mg/L, it measures chemical oxygen demand to assess organic pollution levels in water bodies.
Ammonia nitrogen sensor: Also covering 0–1000 mg/L, it detects ammonia nitrogen concentrations—an important indicator of eutrophication—supporting efforts to maintain ecological balance in aquatic environments.
Data acquisition and transmission unit: Utilizes advanced DTU (Data Transfer Unit) devices to collect sensor data and transmit it securely to cloud platforms via 5G networks, ensuring data timeliness and integrity.
Control unit: Equipped with a 15-inch touchscreen interface, it offers intuitive operation for parameter configuration, data review, and equipment control.
Water sampling unit: Composed of pipelines, valves, submersible or self-priming pumps, it enables automated water collection and transport, ensuring sample representativeness.
Water tank, grit chamber, and associated piping: Facilitate preliminary treatment of water samples by removing large particulate matter, thereby enhancing data accuracy.
Additionally, the system includes one UPS unit to ensure continuous operation during power outages; one oil-free air compressor to supply clean air for instrumentation; one cabinet-mounted air conditioner to regulate internal temperature; one temperature and humidity sensor for real-time environmental monitoring; and a complete set of lightning protection systems to safeguard against electrical surges caused by lightning strikes. The project also encompasses all necessary installation materials, including pipes, cables, and connectors, ensuring reliable deployment and long-term operation.

3. Project Outcomes and Future Prospects
Through the implementation of rainwater pipe network water quality monitoring in smart community infrastructure, the project has achieved real-time, remote monitoring of urban stormwater drainage systems, providing a scientific foundation for urban water environment management. The real-time transmission and visual presentation of monitoring data enable relevant authorities to promptly detect water quality anomalies, initiate timely responses, and effectively prevent potential pollution incidents. Furthermore, the adoption of reagent-free technology and wireless data transmission has reduced operational and maintenance costs while enhancing overall work efficiency.

Looking ahead, with continued advancements in 5G technology and deeper integration into smart city frameworks, the project will expand its application scope and further improve monitoring precision and intelligence. For example, by incorporating artificial intelligence and big data analytics, the system will enable deeper data mining and predictive modeling, offering more precise decision-making support for urban water resource management. Additionally, future phases will explore integration with other smart city subsystems—such as intelligent transportation and energy management—to achieve holistic, collaborative urban governance, contributing significantly to the advancement of a new model of smart city development in the district.