Industrial equipment sub-health state intelligent monitoring method and device based on big data

Abstract

The invention relates to the technical field of equipment monitoring, in particular to an industrial equipment sub-health state intelligent monitoring method and device based on big data, and the method comprises the steps: completing the data collection through a main processing module; performing feature engineering construction on multiple groups of data acquired by the data acquisition; performing data division on the data constructed by the feature engineering; performing model construction on the processing structure of the data division; and comparing structures constructed by the model to complete state recognition. Sampled research samples are divided into a training set, a test set and a verification set to complete construction of the adversarial network, then model construction is carried out, sub-health state recognition model research based on the deep residual shrinkage network is developed, performance comparison with mainstream machine learning and integrated learning algorithms is carried out, and the recognition accuracy is improved. It is guaranteed that the model can adapt to various equipment sub-health states in the actual production environment, state recognition is completed through information comparison, and then industrial equipment sub-health state recognition can be effectively achieved.

Description

technical field [0001] The invention relates to the technical field of equipment monitoring, in particular to a big data-based intelligent monitoring method and device for sub-health state of industrial equipment. Background technique [0002] With the rapid development of the industrial level, the degree of automation has been popularized, and the modern industrial production system has gradually developed towards the direction of intelligence. The complexity of the system is getting higher and higher, but no matter how good the production line is or how advanced the industrial equipment is, it cannot effectively avoid the huge pressure on the production system caused by long-term operation and various problems caused by equipment aging, especially As the working time continues, damage to any part of the equipment will cause serious consequences. [0003] However, in reality, failures often do not occur instantaneously, but a slow process of qualitative change over a long ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a big data-based intelligent monitoring method and device for the sub-health state of industrial equipment to solve the problem that the existing industrial production line proposed in the above background technology cannot effectively avoid the huge pressure on the production system caused by long-term operation and problems associated with equipment aging

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