Pain Points
High System Integration Complexity
Multi-source data integration challenges: Fragmented subsystems with inconsistent data standards. Poor legacy equipment compatibility: Difficult to connect with IoT and water platforms, leading to high retrofit costs.
Low sensing device coverage
IInsufficient sensor deployment: Aging pipelines lack adequate sensors for real-time monitoring of water quality, flow, and leakage. Limited coverage rate: In some cities, pipeline sensor coverage is below 30%, restricting data-driven decision-making.
High cost of technology adoption
Advanced technologies such as digital twins and AI require heavy investment, making large-scale deployment difficult for small and medium-sized cities due to budget constraints.
Insufficient localization of core technologies
Despite localization policies, some key equipment (e.g. high-precision water quality sensors and industrial PLCs) still rely on imports, as domestic alternatives lag in stability and accuracy.
Low operation and maintenance efficiency
Inefficient fault handling: Repair reporting, dispatching, and maintenance processes lack closed-loop digitalization, resulting in long response times and low user satisfaction.
Data Foundation
Digital Twin Platform
Core Application System
Integrated Dispatching
Enables centralized command of the entire water supply and drainage process, using real-time data to quickly develop dispatch plans and improve efficiency and accuracy.
Production Operations
Real-time monitoring of water plant operations with automatic adjustment of process parameters to ensure stable water quality and supply volume.
Pipeline Operations
Real-time monitoring and analysis of pipeline pressure and flow to quickly detect leaks and abnormalities, ensuring safe and stable network operation.
Device Operations
Full life-cycle asset management with remote monitoring, fault diagnostics, and maintenance to improve reliability and operational efficiency.
Applications
Smart Water Supply Project for National Important Sports Events
Project goal Build a comprehensive scheduling platform for intelligent water management systems, achieving real-time monitoring, warning, and contingency planning from water sources to water and
Anhui Province City level Smart Water Service Platform
Project background The city’s smart water service platform is driving digital transformation through the development model of “water service+internet”, with a focus on industry 4
