The invention relates to the technical field of data processing and provides a time series classification method and device based on characteristic sampling. The method comprises the following steps:converting time series data sets for training into training data sets with an equal-length characteristic with a characteristic sampling method, and converting the time series data sets for testing into test data sets with an equal-length characteristic; performing model training by using the training data sets with the equal-length characteristic with an integrated learning classification method;performing time series classification on the test data sets with the equal-length characteristic by the trained model. The time series data sets with different lengths are first converted into the data sets with the equal-length characteristic with the characteristic sampling method, and then classification is performed with the integrated learning classification method, so that accuracy of timeseries classification is improved, and large-scale time series data can be accurately classified.