Power grid regulation and control field information retrieval method and system based on deep learning and medium

Abstract

The invention discloses a power grid regulation and control field information retrieval method and system based on deep learning and a medium. The method comprises a training data construction module which is used for constructing training data for training a deep learning translation model; the model training module is used for training a deep learning translation model according to the training data obtained from the training data construction module; the question parsing module is used for parsing a source language input by a user into a source language text which can be recognized by the deep learning translation model; the SQL post-processing module is used for converting the target language text output by the deep learning translation model into a statement executable by a database; and the SQL operation module is used for operating the database executable statements obtained from the SQL post-processing module and retrieving required information from the database. By utilizing the method and the system, the threshold of operating the power grid database is reduced, a worker can quickly retrieve required information, and the working efficiency is improved. And meanwhile, the data mining depth is increased, and the data value-added realization capability is improved.

Description

technical field [0001] The invention belongs to the intersection field of deep learning and power grid control information retrieval, and specifically relates to a deep learning-based information retrieval method, system and medium in the field of power grid control. Background technique [0002] After many years of operation of the power grid control system, a large amount of power grid operation data is stored in the database or file system, showing the characteristics of large scale, variety, and wide range. Currently, querying power grid control information usually requires a structured query language (Structured Query Language, SQL) such a procedural query language to interact with the database (or file system), which requires professional and technical personnel who understand the SQL language to perform this operation. The learning threshold of the SQL language is relatively high. Even for computer practitioners, it is a complicated task to write a large number of SQL...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the problem of tedious and inefficient analysis of massive data in the power grid control system, the present invention uses semantic analysis technology to train AI agents, and can convert natural language into executable SQL statements, thereby reducing the threshold of data query and providing users with more humanized information retrieval service

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