Performance equipment intelligent operation and maintenance recommendation technology based on deep neural network

The invention discloses an intelligent performance equipment operation and maintenance recommendation technology based on a deep neural network, and solves the problem that in the prior art, a recommendation algorithm based on deep learning lacks flexibility, so that the trust degree of maintenance personnel to a recommendation result is reduced in practical application. The method comprises the following steps: constructing a data set, and carrying out feature preprocessing on the data in the data set; constructing a deep neural network model, and setting parameters of a deep neural network; sending the data into the deep neural network for training, randomly selecting a certain equipment for maintenance, and recommending other equipment by the model; integrating the attention mechanism into the deep neural network, selecting the same equipment in the step S3, and recommending other equipment by the model; increasing the weights of different data features according to actual conditions, and calculating corresponding recommendation results. The features of the performance equipment are extracted by the deep neural network, and then different weights are given to the features of the performance equipment by the attention mechanism, so that the system recommends an equipment combination.