Water Delivery Network
场景介绍 需求分析 方案亮点 核心产品 典型案例
场景介绍

The urban water supply industry, a vital part of national infrastructure, is crucial for urbanization planning and balancing the interplay of life, production, and ecology.

Enabled by advanced technologies such as the Internet of Things (IoT), cloud computing, and hydrodynamic analysis, the Ruhr IoT Water Delivery Network Sensing System integrates a water quality monitoring system, a water delivery network monitoring system, and an early warning platform to ensure safety of the water supply.

需求分析
  • Burst of Water Supply Pipe
    Burst of Water Supply Pipe can lead to the following issues: disruption of water supply, accumulation of water on roads and traffic disruptions, collapse and sinkholes of road.
  • Water Quality Non-Compliance
    Water Quality Non-Compliance could severely endanger residents' lives and safety, and may lead to widespread social issues if not addressed promptly.
  • Insufficient water supply pressure
    Many residents in high-rise urban buildings face frequent water pressure issues caused by inadequate secondary water supply systems, resulting in significant disruptions to their daily routines.
方案亮点
  • Comprehensive Water Quality Monitoring System
    The Comprehensive Water Quality Monitoring System covers the entire water production process, including water sources, water treatment plants, distribution networks, and water tanks. The system real-timely uploads water quality data and alerts.
  • Intelligent Water Pressure Regulation System
    based on water pressure monitoring data and water usage conditions within the pipeline, the system automatically analyses water usage during peak and off-peak periods to realize pipeline pressure intelligent adjustment and guarantee normal water usage of residents.
  • Risk Assessment of Water Delivery Network
    Static Risk Assessment Model: focuses on historical data and fixed attributes (e.g., pipeline material, age, and past failure records); provides a baseline understanding of potential risks; dynamic Risk Assessment Model; incorporates real-time data (e.g., pressure, flow rates, and temperature) and environmental factors (e.g., weather, soil conditions); provides Offers a more adaptive and responsive risk evaluation.
核心产品
典型案例
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公司地址

杭州市余杭区五常街道绮颐弄53号鲁尔物联总部园区

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