Topological structure optimization method for constructing graph deep learning model based on knowledge graph
The invention discloses a topological structure optimization method based on a knowledge graph construction graph deep learning model, and the method comprises the following steps: obtaining the original data information of a power system, and carrying out the data preprocessing; constructing a know...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a topological structure optimization method based on a knowledge graph construction graph deep learning model, and the method comprises the following steps: obtaining the original data information of a power system, and carrying out the data preprocessing; constructing a knowledge graph based on a data preprocessing result; constructing a graph deep learning model based on the knowledge graph, and training the graph deep learning model; topological structure diagram optimization processing is carried out on the trained diagram deep learning model; the image deep learning model is applied to real-time power system data, a power supply field image is generated, a detailed image of a power supply field is drawn according to information such as the equipment state and the topological structure output by the model, and decision support is provided for operation optimization of the power supply field through analysis and prediction of the model on the power supply field. And the operation re |
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