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Regulation and control knowledge modeling method based on Bi-LSTM technology

A technology of knowledge modeling and technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as increasing the difficulty of reference, and achieve good sharing effects

Pending Publication Date: 2021-02-02
STATE GRID FUJIAN ELECTRIC POWER CO LTD +1
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Problems solved by technology

For the same operation behavior, different personnel may also have different description methods, which also increases the difficulty for subsequent staff to query related operations for reference

Method used

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  • Regulation and control knowledge modeling method based on Bi-LSTM technology
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  • Regulation and control knowledge modeling method based on Bi-LSTM technology

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0029] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0030] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to a regulation and control knowledge modeling method based on a BiLSTM technology, and the method comprises the steps: constructing a power domain ontology based on the BiLSTM technology, extracting conceptual entities in the ontology, combining the conceptual entities to obtain basic terms, and manually determining important terms in the basic terms; dividing the importantterms into three categories: department units, behavior categories and information data, and defining inheritance structures among the categories by adopting a top-down method; defining attributes andconstraints of the class, thereby creating an instance of the class; and outputting the instantiated ontology according to the input text and the created instance of the class. A professional knowledge framework can be provided for regulation and control personnel, and sharing of regulation and control professional knowledge in the electric power field is achieved.

Description

technical field [0001] The invention relates to the technical field of power system control, in particular to a control knowledge modeling method based on Bi-LSTM technology. Background technique [0002] In the field of electric power control technology, affected by factors such as different job responsibilities and professional knowledge, the operating behavior characteristics and dispatching habits of each control personnel are different, thus showing different behavior characteristics. For the same operation behavior, different personnel may also have different description methods, which also increases the difficulty for subsequent staff to query related operations for reference. Therefore, it is necessary to build a corresponding model to classify and unify behaviors. In the power grid named entities, various entities in the power field, such as power facilities and equipment, power methods and strategies, are the core elements of power text information expression. Thes...

Claims

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Application Information

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IPC IPC(8): G06F40/295G06F40/284G06F40/211G06F16/33G06N3/04G06N3/08
CPCG06F40/295G06F40/284G06F40/211G06F16/3344G06N3/049G06N3/08G06N3/045
Inventor 徐海利赵凤梅陈雪琨邱成建曾华斯
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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