Intelligent auxiliary training and maintenance decision-making method and device for equipment based on deep learning

Abstract

The invention discloses an intelligent auxiliary training and maintenance decision-making method and device for equipment based on deep learning, and the method comprises the steps: collecting the overall and local information of equipment, building a three-dimensional model of the equipment for visual display and the virtual disassembly and assembly of all parts of the equipment, preparing a data set of the equipment and the virtual disassembly and assembly of all parts of the equipment, training and learning the data set by using a deep convolutional neural network model, and respectively constructing an equipment intelligent virtual maintenance decision mode, an equipment intelligent virtual auxiliary learning training mode and an equipment intelligent virtual autonomous learning training mode; and finally, integrating and packaging the equipment intelligent auxiliary training and maintenance decision based on deep learning and the equipment. A visual, efficient and intelligent technical means is provided for virtual training maintenance of large-scale complex equipment and training examination of operators.

Description

technical field [0001] The invention belongs to the field of equipment virtual auxiliary training and maintenance decision-making, in particular to a deep learning-based equipment intelligent auxiliary training and maintenance decision-making method and device. Background technique [0002] At present, the training and maintenance method of large-scale complex equipment is mainly manual installation operation. This training and maintenance mode has certain requirements on the operation space, and requires repeated training, which is easy to cause wear and aging of large-scale equipment parts and components, thus affecting the equipment's performance. Accuracy and longevity. At the same time, it is difficult to guarantee the safety during the actual installation training operation, which leads to the problem that the trainees are afraid to train and dare not to train, which seriously affects the quality and efficiency of equipment training and maintenance. [0003] The virtu...

AI Technical Summary

Problems solved by technology

[0002] At present, the training and maintenance methods for large and complex equipment are mainly manual installation operations. This training and maintenance mode has certain requirements for the operation space, and requires repeated training, which is easy to cause wear and aging of large equipment components, thereby affecting the equipment. Accuracy and Life

At the same time, it is difficult to guarantee the safety during the actual installation training operation, which leads to the problem that the trainees are afraid to train and practice, which seriously affects the quality and efficiency of equipment training and maintenance.

[0003] The virtual assisted training and maintenance system can overcome the problems of high cost, long period, and poor effect caused by completely relying on actual installation training, so it has received widespread attention

The existing virtual auxiliary training and maintenance system is simple in content, unable to meet the training and maintenance of fine modules of large and complex equipment, and the data volume of large and complex equipment is huge, and the existing auxiliary training and maintenance decision-making methods are often unable to handle it, resulting in the system being ineffective to run

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