Equipment failure identification method, equipment failure identification device and terminal equipment

Abstract

The invention relates to the technical field of information processing, and provides an equipment failure identification method, an equipment failure identification device and terminal equipment. Themethod comprises the following steps: collecting working voice information when target equipment works, and inputting the working voice information into a first neural network model for carrying out identification to obtain a first identification result, wherein the first identification result comprises a first failure position and a first failure type; collecting image information when the targetequipment works, and inputting the image information into a second neural network model for carrying out identification to obtain a second identification result, wherein the second identification result comprises a second failure position and a second failure type; matching the first identification result and the second identification result, and if the first failure position is the same as the second failure position and the first failure type is the same as the second failure type, generating equipment failure information, wherein the equipment failure information comprises failure positionand failure type. The method is combined with voice and image for carrying out identification on the equipment failure, so that the failure identification accuracy can be improved accurately.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to an equipment failure identification method, device and terminal equipment. Background technique [0002] Equipment failures are the classification of failure types formed by the data collected by technicians of various manufacturers. Traditional equipment failure data are all public image databases and public video databases. Data are extracted from the above public databases and manually marked. However, these public databases are mostly taken from the perspective of humans, so the collected data has great differences in perspective and content. Due to the limitations of this method, the accuracy of fault identification is low. Contents of the invention [0003] In view of this, the embodiments of the present invention provide a device fault identification method, device and terminal equipment to solve the problem of low fault identification accurac...

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Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides a device fault identification method, device and terminal equipment to solve the problem of low fault identification accuracy in the prior art

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