Engineering vehicle working condition identification method based on audio features

The invention discloses an engineering vehicle working condition identification method based on audio features. The method comprises the steps of A, collecting audio data of an engineering vehicle under a known working condition as sample data; b, performing preprocessing and feature extraction on the sample data to obtain a sample feature matrix; c, inputting the sample feature matrix into a neural network model for training; and D, performing preprocessing and feature extraction on the audio data of unknown working conditions, and inputting the audio data into the trained neural network model for working condition identification. The invention discloses an audio feature and feature extraction method and steps, and provides a neural network-based engineering vehicle working state identification method, which can identify the working condition of an engineering vehicle in real time according to the noise emitted by the current vehicle, effectively improve the use efficiency of the engineering vehicle and save