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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

Pending Publication Date: 2022-07-29
GUIZHOU POWER GRID CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional substation planning mainly relies on manual experience and on-site surveys to make judgments. Not only is the workload heavy and the construction period is long, but it is also affected by many subjective factors. It is difficult to fully consider the factors that affect the location of substations, making the location of substations difficult. very big

Method used

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  • Transformer substation engineering site selection knowledge graph construction method
  • Transformer substation engineering site selection knowledge graph construction method
  • Transformer substation engineering site selection knowledge graph construction method

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Experimental program
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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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Abstract

The invention discloses a transformer substation engineering site selection knowledge graph construction method, which comprises the following steps of: acquiring related specifications and standards of transformer substation engineering site selection, and obtaining a concept set and a relationship set through term summing and screening; establishing a'concept-relation-concept 'triple, and constructing an ontology layer knowledge graph; the method comprises the steps of collecting operation data of an existing substation, and performing knowledge extraction and screening processing to obtain an entity set, a relationship set and an attribute set; establishing a'instance-relationship-instance 'triple and a'instance-relationship-attribute' triple, and constructing an instance layer knowledge graph; on the basis of the ontology layer knowledge graph, the instance layer knowledge graph and the mapping relation between the ontology layer knowledge graph and the instance layer knowledge graph, retrieval learning and auxiliary decision making for substation engineering site selection knowledge are constructed; according to the method, a relatively complete transformer substation site selection knowledge graph system is constructed; a rich case knowledge base is formed for new engineering retrieval and auxiliary decision making.

Description

technical field [0001] The invention relates to the technical field of electric power engineering and knowledge engineering, in particular to a method for constructing a knowledge map of substation engineering location selection. Background technique [0002] Substation planning is an important part of power grid planning, which directly affects the economic and reliability of the structure, investment and operation of the planned regional power grid. The traditional substation planning is mainly judged by manual experience and on-the-spot investigation. It is not only a large workload and a long construction period, but also affected by many subjective factors. It is difficult to comprehensively consider the factors that affect the location of the substation, which makes the location selection of the substation difficult. very large. Under the background of the continuous expansion of power grid construction scale and the rapid development of power grid informatization, co...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/387G06Q50/06
CPCG06F16/367G06F16/387G06Q50/06
Inventor 王立刘志宏颜霞李振陈飞汪黔疆张方银杨钦
Owner GUIZHOU POWER GRID CO LTD