The invention provides an
oxygen lance service life prediction method,
system and device and a readable storage medium, and belongs to the technical field of
metallurgical industry automation. The method comprises the following steps: acquiring operation parameters of an
oxygen lance, and generating corresponding sequence data according to the types of the operation parameters and
acquisition time; performing preprocessing and data cleaning on the sequence data to generate
standard sequence data; performing
feature engineering on the cleaned sequence data according to
domain knowledge, and converting the sequence data into sequence features; deploying a pre-trained sequence
large model in the prediction scene, or deploying a sequence
large model finely adjusted by using
oxygen lance state historical sequence data; on the basis of the feature sequence, according to a selected prediction mode, utilizing a deployed sequence
large model to perform prediction, and generating a prediction result feature sequence; and converting the prediction result feature sequence, restoring the prediction result feature sequence into a prediction value, and determining the remaining service life of the oxygen lance according to the prediction value. According to the invention, efficient and accurate prediction of the service life of the oxygen lance is realized.