performing image collection on a process control device of a spinning box in the spinning workshop to obtain an image to be processed;

extracting a first image feature from the image to be processed; and

processing the first image feature based on a decoder network to obtain a fault detection result for the process control device;

wherein the decoder network comprises a plurality of decoder modules connected in series in sequence;

wherein each decoder module comprises a decoder layer and an adaptive classification head; and the adaptive classification head is configured to perform classified prediction on an output feature of the decoder layer to obtain a first fault classification result, and update the first fault classification result based on a preset classification calibration matrix to obtain a second fault classification result output by the decoder module; and

wherein the fault detection result output by the decoder network comprises a second fault classification result output by a last-layer decoder module of the decoder network, and a fault position output by the last-layer decoder module;

wherein for each decoder module after a first decoder module in the decoder network, an output feature of a previous decoder module of the decoder module is taken as an input feature of the decoder module.