Drainage Pumping Station Automation System—Forging a New Urban Flood Control Ecosystem

I. Technical Principles and Core Functions

Active Drainage Mechanism

          Utilizes electromechanical power (e.g., axial flow pumps, mixed flow pumps) to forcibly lift water from low-lying areas into rivers or drainage networks, overcoming the limitations of natural gravity drainage. For example, during the 2023 Guangdong rainstorm, the Huangpu Pump Station in Guangzhou drained 1.2 million cubic meters of water in a single day—equivalent to 860 standard swimming pools.

Intelligent Control System

          Modern pump stations integrate IoT sensors and AI algorithms to monitor water levels (with ±1cm accuracy), rainfall, and pipe network load in real time, automatically adjusting unit operations. For instance, the Suzhou Creek Pump Station Group in Shanghai reduced urban floodwater drainage time by 40% through its smart dispatch platform.

Emergency Backup Power

          Equipped with diesel generators or energy storage systems to ensure continuous operation during power outages. During the catastrophic “7·20” rainstorm in Zhengzhou (2021), pump stations with dual power sources improved disaster mitigation efficiency by 300%.

II. Smart Monitoring and Early Warning System

Distributed IoT Monitoring Network

          Deploys low-cost water level sensors (ultrasonic/pressure-based), rain gauges, and soil moisture probes to create an urban-rural 3D monitoring network.
Case Study: Huawei and the Ministry of Water Resources’ “Smart Water Conservancy” project installed 5,000+ monitoring points in the Pearl River Delta, reducing warning response time to 15 minutes.

AI Flood Prediction Model

          Combines weather radar, GIS terrain data, and historical disaster databases to develop LSTM neural network prediction models.

          Technical Indicators: Achieves <10% error in 6-hour runoff forecasts and 85% accuracy in submerged area predictions.

Emergency Communication Relay System

          Develops flood-resistant Mesh ad-hoc network devices to maintain communication during base station failures (MIIT test standard: 72-hour continuous operation).

III. Digital Twin Platform

3D Visualization Decision System

• Integrates BIM, GIS, and real-time monitoring data for flood simulation and visualized resource dispatch.
• Example: Shenzhen Water Authority’s platform improved emergency decision-making efficiency by 60%.

Asset Health Management

• Uses vibration monitoring and edge computing to predict pump failures (92% accuracy), reducing downtime through preventive maintenance.

Disaster Damage Assessment AI

• Combines drone imagery with deep learning to generate damage assessment reports within 30 minutes (90% accuracy).

IV. Socio-Economic Value Quantification

Direct Disaster Mitigation Benefits

• China’s Ministry of Housing and Urban-Rural Development estimates that every 100 million yuan invested in pump stations reduces annual flood losses by 230 million yuan.

Ecological Synergy Effects

• Advanced pump stations save 30% energy via variable frequency technology. Rotterdam’s “Water Square” pump station system also serves rainwater storage and landscape functions.