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

A technology of industrial equipment and health status, applied in the direction of measuring devices, neural learning methods, design optimization/simulation, etc., can solve problems such as equipment aging in production systems, and achieve the effects of convenient data collection, excellent robustness and generalization ability

Pending Publication Date: 2022-03-01
珠海城市职业技术学院
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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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  • Industrial equipment sub-health state intelligent monitoring method and device based on big data
  • Industrial equipment sub-health state intelligent monitoring method and device based on big data
  • Industrial equipment sub-health state intelligent monitoring method and device based on big data

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Embodiment Construction

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] see figure 1 and figure 2 , the present invention provides an embodiment:

[0028] A method for intelligent monitoring of sub-health state of industrial equipment based on big data, comprising the following steps:

[0029] Complete data acquisition through the main processing module;

[0030] Perform feature engineering construction on multiple sets of data collected by the data;

[0031] Divide the data constructed by feature engineering into data...

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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 ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/00G06K9/62G06N3/08G01H17/00
CPCG06F30/27G01H17/00G06N3/08G06F2218/00G06F2218/12G06F18/214
Inventor 朱韶平朱乐平邱小群马维旻杨裕刘玉洁严毓培关景新
Owner 珠海城市职业技术学院
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