Power equipment fault knowledge graph construction method
A knowledge graph and power equipment technology, applied in the field of power equipment fault knowledge graph construction based on BiLSTM-CRF, can solve the problems of low recognition accuracy, naming conflicts, affecting the wide application of knowledge graph technology, etc., to improve the level of intelligence, The effect of improving accuracy
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[0042] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.
[0043] Aiming at the problems of low entity recognition accuracy and difficulty in extracting semantic relations during the construction of power equipment fault knowledge graphs, the present invention proposes a bi-directional long-short term neural network and conditional random field (Bi-directional Long-Short Term Memory-Conditional Random Field). , BiLSTM-CRF) model of power equipment fault knowledge map construction method.
[0044] reference figure 1 ,Such as figure 1 As shown, a method for constructing a fault knowledge graph of power equipment includes:
[0045] Power text preprocessing,...
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