Picture-to-standard text description conversion method based on editing distance and keyword matching method

A technology of editing distance and matching method, applied in the field of image recognition, which can solve the problems of system development, high operation and maintenance costs, and difficult implementation.

Inactive Publication Date: 2021-11-23
GUIZHOU POWER GRID CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

How to link the fault description text output by the front-end image recognition processing system with the knowledge base questions of the back-end operation and maintenance support system, customer service question and answer system, etc. is usually a difficult problem, and it is often necessary to train a highly complex natural language semantic understanding system. The descriptive text and the standard questions of the back-end knowledge base are matched and searched. These methods need to collect a large amount of corpus and perform complicated cleaning and labeling work. With the increase of the corpus size, the model training time will also increase significantly, resulting in system development and operation. High maintenance cost, difficult implementation

Method used

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  • Picture-to-standard text description conversion method based on editing distance and keyword matching method
  • Picture-to-standard text description conversion method based on editing distance and keyword matching method

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Embodiment Construction

[0023] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are only for illustrating the present invention, but not for limiting the protection scope of the present invention.

[0024] Such as figure 1 Shown, a kind of picture of the present invention based on editing distance and keyword matching method is converted into the standard text description, comprises the following steps:

[0025] Step S1: setting a core data rule table, the core rule table includes at least three columns, which are respectively the picture content description sequence, the keyword rule sequence and the standard query sequence;

[0026] Step S2: The system starts, matches the image content information identified by OCR with the core data rule table, and performs keyword matching with the keyword rule sequence first, and ends if the keyword matching is successful, a...

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Abstract

The invention discloses a picture-to-standard text description conversion method based on an editing distance and keyword matching method, and provides a simple, feasible and efficient docking conversion mode without introducing a complex and low-efficiency artificial intelligence deep learning model. The method is mainly applied to the fields of informatization system operation and maintenance support backgrounds, customer service backgrounds, question-answering systems and the like for issuing system faults through a large number of screenshots, and the research, development, operation and maintenance cost of the system can be remarkably reduced.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a conversion method from a picture to a canonical text description based on an edit distance and keyword matching method. Background technique [0002] In the operation and maintenance support and customer service question-and-answer systems of enterprise-oriented information systems, fault standard questions in the field are usually sorted out for users, operation and maintenance support personnel, or software clients to inquire about. These questions generally have a certain generality. The text output after processing fault screenshots or fault pop-up screenshots through technologies such as object detection + OCR has its own particularity, and usually describes the details of a specific problem. How to link the fault description text output by the front-end image recognition processing system with the knowledge base questions of the back-end operation and maintenanc...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06K9/34G06N20/00
CPCG06F16/3329G06N20/00
Inventor 孔庆波吴漾杨箴李洵卢妤郭仁超龙娜田钺
Owner GUIZHOU POWER GRID CO LTD
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