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Equipment fault reason determination method, storage medium and electronic equipment

A technology for determining equipment faults and methods, applied in the field of knowledge graphs, to achieve the effect of precise fault search technology

Pending Publication Date: 2021-01-01
GREE ELECTRIC APPLIANCES INC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention is based on the technical problem that the existing equipment failure diagnosis method requires professional knowledge to correctly diagnose the cause of equipment failure, and proposes a method for determining the cause of equipment failure, a storage medium and electronic equipment.

Method used

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  • Equipment fault reason determination method, storage medium and electronic equipment
  • Equipment fault reason determination method, storage medium and electronic equipment
  • Equipment fault reason determination method, storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046]According to an embodiment of the present invention, a method for determining the cause of equipment failure is provided,figure 1 Shows a schematic flowchart of a method for determining the cause of equipment failure proposed in the first embodiment of the present invention, such asfigure 1 As shown, the method for determining the cause of equipment failure may include: step 110 to step 160.

[0047]In step 110, text information used to describe the equipment failure is obtained.

[0048]Here, the text information may refer to the text information used to describe the equipment failure, such as the text information that the user generates "noise when the internal air conditioner is running" through the intelligent customer service.

[0049]In an optional implementation manner, in step 110, obtaining text information used to describe a device failure includes:

[0050]Step 111: Acquire voice information used to describe equipment failures;

[0051]Step 112: Convert the voice information into ...

Embodiment 2

[0096]On the basis of the foregoing embodiment, the second embodiment of the present invention can also provide a method for determining the cause of a device failure.Figure 5 Shows a schematic flowchart of a method for determining the cause of equipment failure proposed in the second embodiment of the present invention, such asFigure 5 As shown, the method for determining the cause of equipment failure can include two parts.

[0097]The first part is to construct the fault knowledge graph, the specific process is as follows:

[0098]Obtain a data set containing multiple fault description texts, which can contain large-scale general text data sets.

[0099]Preprocess the fault description text; among them, the preprocessing is divided into two levels, including word-level processing and sentence-level processing.

[0100]Among them, word-level processing is mainly for the processing of words in the fault description text, specifically the word segmentation of the fault description text, to obta...

Embodiment 3

[0111]According to an embodiment of the present invention, there is also provided a storage medium having program code stored on the storage medium, and when the program code is executed by a processor, the device failure cause determination as described in any of the above embodiments is realized method.

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Abstract

The invention discloses an equipment fault reason determination method, a storage medium and electronic equipment, and relates to the technical field of knowledge maps. The method comprises the steps:obtaining text information used for describing an equipment fault; extracting keywords from the text information and determining corresponding part-of-speech of the keywords in the text information;determining an association relationship between the extracted keywords according to the text information; searching a fault description path matched with the keyword, the part-of-speech correspondingto the keyword and the association relationship in a pre-constructed fault knowledge graph; searching a fault type node associated with the fault description path in the fault knowledge graph; and outputting an equipment fault reason corresponding to the fault type node. The invention has the beneficial effects that the literal semantics and the implicit semantics in the text information can be fully mined, so that accurate search is realized. By utilizing a knowledge graph technology, a knowledge graph with semantic comprehension is constructed, and a simple, efficient and accurate fault search technology is realized.

Description

Technical field[0001]The invention belongs to the technical field of knowledge graphs, and in particular relates to a method for determining the cause of equipment failure, a storage medium and an electronic device.Background technique[0002]After a home appliance malfunctions, users generally call the after-sales phone to inquire about the malfunction. The customer service needs to conduct a preliminary diagnosis of the equipment failure through voice interaction with the user, so that the technician can make a preliminary troubleshooting solution before the on-site diagnosis and repair. However, in this process, the user's voice description of the equipment failure is not clear, which will make it difficult for the customer to diagnose the cause of the equipment failure. At the same time, the customer service staff do not understand the technology, and it is difficult to guide the user to correctly describe the failure, resulting in the failure to correctly diagnose the cause of th...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q30/00G06F40/289G06F40/30G06F16/36
CPCG06Q10/20G06Q30/016G06F40/289G06F40/30G06F16/367
Inventor 李明杰宋德超贾巨涛吴伟杨昌品
Owner GREE ELECTRIC APPLIANCES INC
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