工业运行数据确定方法、装置、介质、设备及程序产品
By employing a prediction model optimized with spline functions and penalty factors in generator sets, the interpretability and accuracy of traditional neural network models in predicting industrial operation data are addressed, achieving higher prediction accuracy and applicability to complex processes, thus supporting the stable operation and maintenance of generator sets.
CN122411289APending Publication Date: 2026-07-17CHINA ENERGY INVESTMENT CORP LTD +1
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA ENERGY INVESTMENT CORP LTD
- Filing Date
- 2025-01-15
- Publication Date
- 2026-07-17
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Figure CN122411289A_ABST
Abstract
本公开涉及一种工业运行数据确定方法、装置、介质、设备及程序产品，涉及数据处理技术领域，该工业运行数据确定方法包括：获取发电机组在第一时刻的第一设备状态数据和第一工业运行数据，以及所述发电机组在第二时刻的第二设备状态数据，所述第二时刻在所述第一时刻之后；将所述第一设备状态数据、所述第一工业运行数据以及所述第二设备状态数据，输入至预测模型中，得到所述预测模型输出的所述发电机组在所述第二时刻的第二工业运行数据，所述预测模型采用样条函数为基底函数、并嵌入预设惩罚因子，所述预测模型的输入和输出为非线性关系。
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