Industrial data cloud service platform data transmission method for new energy automobile driving motor assembly production line

Abstract

The invention relates to an industrial data cloud service platform data transmission method for a new energy automobile driving motor assembly production line, and solves the problems that when an advanced machine learning algorithm is utilized to transmit and analyze industrial big data, in order to reduce the data scale and improve the analysis efficiency, simple processing is performed on a data transmission method, large analysis deviation is caused, and enterprise technology adjustment and operation and maintenance decisions are influenced. The method comprises the following steps: acquiring multi-source heterogeneous data; performing fusion processing of a local preprocessor; performing secondary fusion processing on the data of the cloud data processor; and receiving data of the cloud data processor. An OI network regularization method is used for optimization, the relevance of continuous channels is considered to the maximum extent, trimmed channels are applied to verificationset data to verify the accuracy of an inference effect, meanwhile, redundant channel compression is completed, and rapid transmission processing of cloud industrial big data is achieved.

Description

technical field [0001] The invention relates to new energy vehicle drive motor assembly production line technology, in particular to an industrial data cloud service platform data transmission method for a new energy vehicle drive motor assembly production line. Background technique [0002] With the development of industrial automation production lines, deep learning networks are gradually applied to the processing of industrial big data. The application of complex artificial neural network (CNN) realizes the efficient analysis of industrial data, thereby helping enterprises to quickly realize the analysis of massive industrial data based on the production line, obtain data characteristics, strip data errors, and achieve accurate analysis of target tasks. [0003] Deep learning technology is computationally and storage-intensive, and industrial big data also has a large amount of invalid data, which makes it difficult to carry out data transmission and analysis on limited h...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the large analysis deviation caused by simple processing of the data transmission mode in order to reduce the data scale and improve the analysis efficiency when the advanced machine learning algorithm is used to transmit and analyze ...

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