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

Abstract

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.

Description

technical field [0001] The invention relates to the technical field of intelligent recommendation algorithm design in the operation and maintenance process of stage performing arts equipment, and in particular to an intelligent operation and maintenance recommendation technology for performing arts equipment based on a deep neural network. Background technique [0002] With the rapid development of the cultural industry, the number of theaters is gradually increasing, and the requirements for performing arts equipment in theaters are very high. High-performance and high-precision equipment can ensure the safety during the performance and enhance the stage effect of the performance. Therefore, the regular management and maintenance of performing arts equipment in theaters is particularly important. However, the number and types of performing arts equipment in a theater are numerous, and manual inspection and maintenance will cause a huge waste of time and energy. In addition...

AI Technical Summary

Problems solved by technology

However, the recommendation algorithm based on deep learning lacks flexibility, which will reduce the maintainer's trust in the recommendation results in practical applications

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