Motor driving mechanism based on big data analysis

A motor-driven, big data technology, applied in the field of big data, can solve the problem of low automation level of pushing boxes
CN109001990AActive Publication Date: 2018-12-14CHINA COAL ORDOS ENERGY CHEM COP LTD

Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
CHINA COAL ORDOS ENERGY CHEM COP LTD
Publication Date
2018-12-14

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Abstract

The invention relates to a motor driving mechanism based on big data analysis. The motor driving mechanism comprises a humidity detection device, a liquid crystal display panel and an image identification device, wherein the humidity detection device is arranged in a box body of a pushing box and used for detecting the humidity in the box body of the pushing box, so that the detected humidity is used as current humidity and output; the liquid crystal display panel is arranged at the top end of the pushing box, connected with the humidity detection device and used for receiving the current humidity and displaying a red highlighted string corresponding to excessively high humidity in the box body when the current humidity is greater than or equal to a preset humidity threshold; and the imageidentification device is used for receiving a reconstructed image, acquiring texture features of the reconstructed image and determining the type of a material below the pushing box based on the texture features by the adoption of a big data analysis mode, so that the type of the material is used as a current material type and output. Through the motor driving mechanism, the automation degree ofthe pushing box can be increased.
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Description

technical field

[0001] The invention relates to the field of big data, in particular to a motor driving mechanism based on big data analysis. Background technique

[0002] Users of big data analysis include big data analysis experts and ordinary users, but the most basic requirement of both of them for big data analysis is visual analysis, because visual analysis can intuitively present the characteristics of big data, and at the same time it can be very easily used Readers' acceptance is as simple and clear as talking through pictures.

[0003] The theoretical core of big data analysis is the data mining algorithm. Various data mining algorithms can more scientifically present the characteristics of the data itself based on different data types and formats. It is precisely because these are recognized by statisticians all over the world. Various statistical methods (which can be called truth) can go deep into the data and dig out the recognized value.

[0004] Another asp...

Claims

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