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Electric power field project feature identification method based on deep learning

A feature recognition and deep learning technology, applied in neural learning methods, character and pattern recognition, electrical and digital data processing, etc., can solve the problems of inconvenient management and difficulty in feature extraction of various projects of power grid companies, so as to improve feature recognition capabilities and reduce Project management cost, the effect of improving management efficiency and level

Pending Publication Date: 2021-12-31
TIANJIN UNIV +2
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that it is difficult to manage and inconvenient to extract the features of each project in the power grid company, the present invention proposes a method for identifying project features in the electric power field based on deep learning

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  • Electric power field project feature identification method based on deep learning
  • Electric power field project feature identification method based on deep learning
  • Electric power field project feature identification method based on deep learning

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Embodiment Construction

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0036] Named Entity Recognition (NER), also known as "proper name recognition", refers to the recognition of entities with specific meaning in text, mainly including names of people, places, institutions, and proper nouns. Simply put, it is to identify the boundaries and categories of entity references in natural texts. Early named entity recognition methods were basically rule-based. Later, after statistical methods based on large-scale corpora achieved good...

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Abstract

The invention discloses an electric power field project feature identification method based on deep learning, and the method comprises the following steps: extracting project features of an electric power field according to an electric power project document, and building a project business label system based on the project features; performing text preprocessing on the power project document; performing entity labeling on the preprocessed electric power project document by means of a text labeling tool, and generating a BIO format data set corresponding to the electric power project document; establishing a network learning model by using an ERNIE model, a Bi-GRU neural network and a CRF model, and inputting the BIO format data set into the network learning model for training to obtain an entity recognition model; and performing feature recognition on the new power project document by using the entity recognition model. The electric power project document can be simplified, the project document management cost is effectively saved, and a company is helped to reasonably arrange project plan management.

Description

technical field [0001] The invention belongs to the technical field of named entity recognition and deep learning, and in particular relates to a deep learning-based project feature recognition method in the electric power field. Background technique [0002] Information management intelligence is a higher stage of informatization. It continues the workflow of information management and intelligently applies higher-level IT technology to solve unsolved deep learning, prediction, and automatic discrimination in the process of information system work flow. and decision-making in scientific computing. On the basis of the traditional project management information system, by adding intelligent technical means, the further intelligence and informatization of project management can be realized, and the hidden knowledge behind the data can be more accurately mined. [0003] Facing the new situation of the company's continuous deepening of reform and development, the company's comp...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/295G06F40/30G06F16/35G06F40/151G06Q10/10G06Q50/06G06K9/62G06N3/04G06N3/08
CPCG06F40/295G06F40/30G06F16/35G06F40/151G06Q10/103G06Q50/06G06N3/084G06N3/044G06N3/045G06F18/2415
Inventor 贾博森黄少远张恒王晓飞张宇熙彭国政赵娟朱克平谢颖捷
Owner TIANJIN UNIV
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