Abstract: Provided is an audio-based device fault detection method, an electronic device, and a storage medium, relating to the field of data processing and in particular to technical fields of deep learning and voice technology. The method includes: obtaining initial audio data collected by a drone for a target device; preprocessing the initial audio data to obtain audio data to be detected; performing feature extraction on the audio data to be detected to obtain an audio feature of the audio data to be detected; constructing an information graph based on the audio feature; and obtaining a fault detection result for the target device based on the information graph and a graph neural network model.

Abstract: Provided is an audio-based device fault detection method, an electronic device, and a storage medium, relating to the field of data processing and in particular to technical fields of deep learning and voice technology. The method includes: obtaining initial audio data collected by a drone for a target device; preprocessing the initial audio data to obtain audio data to be detected; performing feature extraction on the audio data to be detected to obtain an audio feature of the audio data to be detected; constructing an information graph based on the audio feature; and obtaining a fault detection result for the target device based on the information graph and a graph neural network model.

Abstract: Provided is a yarn spindle quality control method based on a knowledge graph, an electronic device, and a storage medium. The method includes determining whether there is an abnormal parameter in a production parameter and/or a process parameter of a group of yarn spindles based on a quality inspection result, the production parameter and the process parameter of the group of yarn spindles; searching an adjustment manner corresponding to the production parameter and/or the process parameter from a knowledge graph for yarn spindle production and management, in a case where there is the abnormal parameter; and sending the adjustment manner corresponding to the production parameter and/or the process parameter to a related device of the group of yarn spindles.

Abstract: Provided is a control method, an electronic device and a storage medium. The method comprises: when a first yarn spindle with a first identifier is transported on a transport channel and determining that the number of first yarn spindles located in a preset area needs to be detected, detecting the first number of first yarn spindles located in the preset area; and when the first number of first yarn spindles is less than the total number of yarn spindles that the first mechanical arm can grab, determining the target number of first yarn spindles to be replenished, and generating a first control instruction to instruct a second mechanical arm to grab the target number of first yarn spindles from a target trolley associated with the first identifier of the first yarn spindle, and place the target number of first yarn spindles in the transport channel or preset area.