A method for predicting a fault of an optical module, comprising: obtaining a sequence to be detected of the optical module in a preset time period, wherein the sequence to be detected comprises a plurality of measured values of an operating parameter of the optical module; obtaining a classification threshold corresponding to the operating parameter, wherein the classification threshold is generated based on a classification sample set corresponding to the operating parameter, wherein the classification sample set comprises a plurality of classification samples; and determining a first prediction result of the optical module based on comparison results between the classification threshold corresponding to the operating parameter and the plurality of measured values in the sequence to be detected, wherein the first prediction result indicates whether the optical module enters a faulty mode; wherein: before the obtaining a classification threshold corresponding to the operating parameter, the method further comprises: obtaining the classification sample set corresponding to the operating parameter, wherein each classification sample of the classification sample set comprises one measured value of the operating parameter and one first classification identifier; and determining, based on the classification sample set, the classification threshold corresponding to the operating parameter; wherein the first classification identifier is used to indicate that a classification sample is a positive sample or a negative sample, when the first classification identifier indicates that the classification sample is a positive sample, it indicates that the measured value in the classification sample comes from a normal optical module; and when the first classification identifier indicates that the classification sample is a negative sample, it indicates that the measured value in the classification sample comes from a faulty optical module. obtaining a sequence to be detected of the optical module in a preset time period, wherein the sequence to be detected comprises a plurality of measured values of an operating parameter of the optical module; obtaining a classification threshold corresponding to the operating parameter, wherein the classification threshold is generated based on a classification sample set corresponding to the operating parameter, wherein the classification sample set comprises a plurality of classification samples; and determining a first prediction result of the optical module based on comparison results between the classification threshold corresponding to the operating parameter and the plurality of measured values in the sequence to be detected, wherein the first prediction result indicates whether the optical module enters a faulty mode; wherein: before the obtaining a classification threshold corresponding to the operating parameter, the method further comprises: obtaining the classification sample set corresponding to the operating parameter, wherein each classification sample of the classification sample set comprises one measured value of the operating parameter and one first classification identifier; and determining, based on the classification sample set, the classification threshold corresponding to the operating parameter; wherein the first classification identifier is used to indicate that a classification sample is a positive sample or a negative sample, when the first classification identifier indicates that the classification sample is a positive sample, it indicates that the measured value in the classification sample comes from a normal optical module; and when the first classification identifier indicates that the classification sample is a negative sample, it indicates that the measured value in the classification sample comes from a faulty optical module. obtaining the classification sample set corresponding to the operating parameter, wherein each classification sample of the classification sample set comprises one measured value of the operating parameter and one first classification identifier; and determining, based on the classification sample set, the classification threshold corresponding to the operating parameter; wherein the first classification identifier is used to indicate that a classification sample is a positive sample or a negative sample, when the first classification identifier indicates that the classification sample is a positive sample, it indicates that the measured value in the classification sample comes from a normal optical module; and when the first classification identifier indicates that the classification sample is a negative sample, it indicates that the measured value in the classification sample comes from a faulty optical module.