Coal-fired unit boiler thermal efficiency prediction and adjustment method, device and system
By constructing a prediction model using heat loss feature vectors and a multi-scale temporal context encoder, the problems of accuracy and adaptability in boiler thermal efficiency prediction were solved, enabling precise energy saving and flexible operation of coal-fired units.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANDONG ELECTRIC POWER CONSTR NO 2
- Filing Date
- 2026-06-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to accurately capture the core physical correlations and key parameter mappings of boiler thermal efficiency under complex operating conditions, resulting in insufficient accuracy in thermal efficiency prediction. Furthermore, the models are poorly adaptable to changes in operating conditions, failing to meet the needs of flexible operation and precise energy saving for coal-fired units.
By acquiring boiler operating parameters, constructing a heat loss feature vector, performing data preprocessing and feature matrix construction, and combining a prediction model with a multi-scale temporal context encoder and a composite loss function, accurate prediction and adjustment of boiler thermal efficiency can be achieved.
It significantly improves the accuracy of thermal efficiency prediction and the adaptability of the model, enabling early prediction of thermal efficiency decline trends, providing reliable support for regulation decisions, and reducing the difficulty of managing and controlling the efficient operation of the unit.
Smart Images
Figure CN122411080A_ABST