Equipment fault diagnosis method and device, storage medium and electronic equipment

Abstract

The invention discloses an equipment fault diagnosis method and device, a storage medium and electronic equipment, and the method comprises the steps: receiving first fault data inputted by a target object, wherein the first fault data comprises fault voice description data of the fault equipment, fault text description data of the fault equipment, fault part image data of the fault equipment andcurrent operation parameter data of the fault equipment; extracting a plurality of entity data and relationship identifiers from the first fault data, the plurality of entity data being used for representing a plurality of entities of the fault device, and the relationship identifiers being used for representing associated information among the plurality of entities; and querying the equipment fault knowledge graph according to the plurality of entity data and the relationship identifier, and determining a fault diagnosis result which is used for describing a target fault of the fault equipment. The entity data and the relationship information in the equipment fault data are extracted and matched with the equipment fault knowledge graph, so that the intelligent customer service can quicklydetermine the diagnosis fault type and realize accurate fault diagnosis.

Description

technical field [0001] The present application relates to the field of electric appliance detection, in particular to a device fault diagnosis method, device, storage medium and electronic equipment. Background technique [0002] With the improvement of living standards, various household devices are constantly integrated into people's lives, which brings great convenience to life. When a certain household device fails, related failure status will appear on one or more components, but when the user reports the failure to the intelligent customer service, he cannot directly describe the failure status of multiple components clearly, and there may even be a lack of correctness for a certain component. and even if the user describes the current fault status of multiple components, there may be a lack of detailed description of the fault during the description process, resulting in the intelligent customer service being unable to accurately determine the cause of the equipment f...

AI Technical Summary

Problems solved by technology

When a certain household device fails, related failure status will appear on one or more components, but when the user reports the failure to the intelligent customer service, he cannot directly describe the failure status of multiple components clearly, and there may even be a lack of correctness for a certain component. and even if the user describes the current fault status of multiple components, there may be a lack of detailed description of the fault during the description process, resulting in the intelligent customer service being unable to accurately determine the cause of the equipment failure, and thus obtaining wrong diagnosis

[0003] Therefore, there is a problem of low fault diagnosis accuracy in the current diagnostic technology.

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