Hydroelectric generating unit monitoring method and system based on digital twinning
By combining a virtual model of a hydropower unit with a real-time monitoring sequence using digital twin technology, the evolution of risk characteristics across all dimensions and the gradient adjustment of parameters are realized. This solves the problems of incomplete risk monitoring of hydropower units and lack of virtual-real collaborative verification of control schemes, thereby improving the safety and control accuracy of the units.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- LONGTAN HYDROPOWER DEV
- Filing Date
- 2026-04-01
- Publication Date
- 2026-07-17
AI Technical Summary
The existing operation and control of hydropower units largely rely on traditional threshold monitoring and fixed parameter regulation, which makes it difficult to fully couple the operating characteristics of hydraulic, mechanical and electrical multi-domain systems. Risk characterization is insufficient, control schemes lack virtual and real collaborative verification, and parameter adjustment is not precise enough. This results in delayed risk warnings and insufficient control accuracy under complex operating conditions, making it difficult to guarantee safety and stability.
A digital twin-based monitoring method for hydropower units is adopted. Real-time monitoring sequences are acquired through a sensor network, a digital twin is constructed and virtual drive is performed. By combining a cross-domain feature alignment mechanism and an attention weighted network, a risk characterization model of the unit is obtained. Full-dimensional traceability analysis and parameter gradient adjustment are performed. A unit risk assessment network is introduced to conduct multi-modal risk coupling simulation verification to achieve adaptive updating of control parameters.
It has enabled precise characterization of multi-dimensional risks in hydropower units and intelligent optimization of control strategies, improving the operational safety and control reliability of the units and ensuring their safe and stable operation under complex conditions.
Smart Images
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