Product Introduction
The heating hydraulic simulation system is based on fluid mechanics principles, deeply integrating multi-source data such as GIS geographic information, pipeline network topology, and equipment operating parameters. Through a visual client, it realizes the full- process simulation from modeling, calculation to analysis. The system can accurately simulate the static and dynamic distribution of core indicators such as temperature, pressure, and flow in the heating pipeline network, providing scientific decision-making tools for network design, operation optimization, and fault diagnosis, promoting the intelligent upgrade of heating systems from experience- driven to data-driven.

Core Functions
Simulation Modeling: Supports constructing hydraulic simulation models by marking or importing on GIS maps, allowing modification of hydraulic calculation parameters for each model.
Static Simulation: Based on design conditions or steady-state operation data, quickly output the distribution of flow / pressure / temperature across the entire network, identifying hydraulic imbalance points and high-risk pipeline sections.
Dynamic Simulation: Combining time series data such as heat source regulation, simulate the dynamic response process of the pipeline network, predicting system behavior under extreme weather or fault conditions.
Analysis and Decision-Making: Through deviation analysis between simulation results and measured data, locate anomalies such as leaks and blockages, compare energy consumption and hydraulic balance under different scheduling schemes, and recommend the optimal operation strategy.

Product Value
Enhance network reliability: Identify potential risks in advance through high-precision simulation, reduce unplanned failures, and ensure the safe and stable operation of the heating system.
Optimize energy utilization: Dynamically adjust hydraulic balance and pump station operation plans based on simulation results to reduce energy waste and lower the overall energy consumption of the heating system.
Accelerate decision-making and operation efficiency: Provide visual simulation analysis tools to assist in quickly formulating scheduling plans, troubleshooting, and renovation plans, reducing the cost of trial and error.
Support intelligent upgrades: Provide a high-precision simulation foundation for digital twins, intelligent scheduling, and other smart heating systems, promoting the digital transformation of the heating industry.
Product Advantages
Mechanism and Data Integration: Combines fluid mechanics mechanism models with real-time operational data calibration to ensure high accuracy and reliability of simulation results.
Full-Process Simulation Capability: Covers the entire lifecycle needs of heating systems including planning and design, operation optimization, fault diagnosis, and energy-saving retrofits.
Flexible and Scalable Architecture: Supports localized deployment and cloud-based collaborative computing to meet simulation needs of networks of different scales, and can be integrated into existing information systems.
Openness and Compatibility: Provide standardized interfaces to support seamless integration with systems such as SCADA and heating platforms, facilitating enterprise-level application expansion.