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Industrial equipment fault maintenance question-answering system based on knowledge graph

A technology of knowledge graph and fault repair, which is applied in the creation of semantic tools, biological neural network models, and other database retrievals, etc. It can solve problems such as inaccurate analysis of user intentions and difficulty in extracting the precise meaning of user questions, and achieve accurate and reasonable faults Effects of maintenance plan, enhanced speech recognition accuracy, and improved algorithm processing accuracy

Inactive Publication Date: 2020-01-21
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

Such systems are often used in the field of entertainment, less in the field of industrial fault maintenance, and it is often difficult for the system to extract the precise meaning of the user's question, and cannot accurately analyze the user's intention

Method used

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  • Industrial equipment fault maintenance question-answering system based on knowledge graph
  • Industrial equipment fault maintenance question-answering system based on knowledge graph

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Embodiment Construction

[0020] 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.

[0021] Such as figure 1 As shown, the question answering system for industrial equipment fault maintenance based on knowledge graph includes knowledge acquisition module, knowledge graph construction module, speech recognition module, semantic analysis module, and knowledge graph query module.

[0022] Combine below figure 1 and figure 2 , to describe in detail the specific process of the industrial equipment fault maintenance question answering system base...

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Abstract

The invention provides an industrial equipment fault maintenance question-answering system based on a Knowledge Graph, and the system comprises the following steps: obtaining expert experience knowledge, preprocessing disambiguation, and constructing an industrial fault maintenance field knowledge graph through employing a relation extraction algorithm and an event extraction algorithm; combiningthe deep neural network and the hidden Markov model to construct the voice recognition model, training the voice recognition models of multiple regions while the mandarin voice recognition accuracy isimproved, and realizing accurate analysis of multiple dialect voices. Semantic analysis is carried out on a voice recognition result based on a Fasttext intention recognition algorithm and other integrated natural language processing technologies, the voice query intention of a client is accurately recognized, and related fault maintenance suggestions are queried for a knowledge graph.

Description

technical field [0001] The invention relates to the fields of equipment failure maintenance, voice recognition and natural language processing, and in particular to a question answering system for industrial equipment failure maintenance based on knowledge graphs. Background technique [0002] Question answering system for industrial equipment fault maintenance based on knowledge graph. Based on the experience and knowledge of experts in the field of relevant industrial equipment maintenance, the knowledge graph is constructed, and the user's query intention is analyzed by using speech recognition technology and natural language processing technology, and relevant fault maintenance opinions are given by querying the knowledge graph. [0003] A general-purpose question answering system generally needs to use a large corpus as the basis to realize short dialogue questions and answers. Such systems are often used in the field of entertainment, and are rarely used in the field ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06Q10/00G06F16/953G06F16/36G06N3/08
CPCG06F16/3329G06Q10/20G06F16/953G06F16/367G06N3/08
Inventor 于强张卫山耿祖琨
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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