In view of the information identification problem of ship equipment, a method based on the deep learning is proposed to identify the type information of ship equipment. According to the characteristics of ship equipment, the image preprocessing and image sample labeling are conducted, and the convolutional neural network is established. After training, the model that can be used for the information identification of ship equipment is obtained. The model is evaluated, the network structure and training parameters are adjusted, and the information identification model of ship equipment with the expected accuracy is obtained. After prediction and optimization, an intelligent information identification model of ship equipment based on the deep learning is obtained, which can realize the warehouse management intellectualization of ship equipment and improve the management efficiency to a large extent.