Transformer substation engineering site selection knowledge graph construction method
A technology of knowledge graph and construction method, applied in the field of knowledge graph construction of substation engineering site selection, can solve the problems of heavy workload, long construction period, and difficulty in substation site selection, and achieve the effect of improving work efficiency and accurate planning
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Embodiment 1
[0037] refer to Figures 1 to 5 , which is the first embodiment of the present invention, and provides a method for constructing a knowledge graph for substation engineering location selection. The graph constructing method includes the following steps:
[0038] S1: Collect the relevant specifications and standards of the substation engineering location, and obtain the key terms of the substation engineering location knowledge map through term extraction.
[0039] Specifically, the existing vocabulary and terminology related to substation engineering siting related specifications and standards are collected to form a corpus and knowledge base, and key terms directly related to the substation engineering siting knowledge map are extracted from the corpus through term extraction.
[0040] Further, the acquisition of key terms adopts the method of term extraction combined with TF-IDF algorithm, as shown in the following steps:
[0041] S11: Term extraction, first use the thresho...
Embodiment 2
[0079] In order to verify and explain the technical effect of this method, this embodiment is verified and explained by a specific example, combined with the attached Figures 2 to 4 shown in.
[0080]1. The corpus is formed by lexical sorting and screening of the collected specifications and standards for substation location selection, and the following figure 2 Ontology layer knowledge graph local example in . Then perform term extraction on the corpus.
[0081] For term extraction: The initial term extraction work mainly relies on manual work, and the workload is huge and the progress is slow. Secondly, based on statistical methods, some automatic term extractors have been implemented in contemporary times. Among them, the representative ones are based on statistical corpus and have nothing to do with language, that is, it can extract corpora in different languages (such as Chinese and English), but it is simple Relying on statistical methods to process the corpus wit...
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