A data intelligent classification and collaboration method based on big data analysis

A big data and data technology, applied in the field of data intelligent classification and collaboration based on big data analysis, can solve the problems of difficult data unification, wrong guidance information, etc., and achieve the effect of improving data security, data classification intelligence, and improving collaboration

Active Publication Date: 2020-07-14
贵州航天云网科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, for some industries, it is necessary to combine the data of different enterprises and obtain industry-specific guidance information by analyzing the data of multiple enterprises. However, it is difficult to unify the data from different enterprise data sources, and analyze such inconsistent data Easy to get wrong guidance information

Method used

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  • A data intelligent classification and collaboration method based on big data analysis
  • A data intelligent classification and collaboration method based on big data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Data intelligent classification and collaborative methods based on big data analysis, as shown in the attached figure 1 shown, including the following:

[0033] S100, in the industrial control process of the enterprise, the industrial control data is collected from the three dimensions of setting data, operation data and evaluation data through the acquisition terminal and sent to the background end. The industrial control data collection can be used for existing NORCO North China industrial control industrial control System, the data is collected through the C-4017+ model acquisition module, and the evaluation label is added after the set data is collected, the set label is added after the operation data is collected, and the operation label is added after the evaluation data is collected. The label can be in the form of a digital sequence For example, if the evaluation label is expressed as 0104, the setting label is expressed as 0203, and the running label is express...

Embodiment 2

[0039] The difference with Embodiment 1 is that, if figure 2As shown, in the data acquisition process of industrial control, the workpiece produced is turned and scanned through the steering mechanism. The steering mechanism includes a support plate 1, and the workpiece is placed on the support plate 1 for scanning. The bottom of the support plate 1 is welded with a rotating shaft 2, and the rotating shaft 2. The driven gear 3 is connected with the key in the middle, and the rotating bearing 6 is connected with the key at the end of the rotating shaft 2. The rotating bearing 6 can be installed on other support frames. The driven gear 3 is meshed with the driving gear 4, and the diameter of the driving gear 4 is smaller than that of the driven gear. 3. Reduce the speed of the rotation of the support plate 1. The drive gear 4 is connected to the support shaft, and the motor 5 is installed at the bottom of the support shaft. The motor 5 can be an existing SM130-100-15LFB servo mo...

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Abstract

The invention relates to the technical field of data processing, and particularly relates to an intelligent data classification and collaboration method based on big data analysis. The method comprises the steps of S100, during the industrial control process of an enterprise, collecting the industrial control data from the three dimensions of set data, operation data and evaluation data through acollection terminal and sending the data to a background end, adding an evaluation label after the set data is collected, adding a set label after the operation data is collected, and adding an operation label after the evaluation data is collected; and S200, after receiving the data at a background end, intercepting the label receiving the data and replacing the label, replacing the evaluation label with the set label, replacing the set label with the operation label, and replacing the operation label with the evaluation label. The labels are convenient for the classification cooperation after the data is received, the repeated data is reduced, and the data classification accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a data intelligent classification and collaboration method based on big data analysis. Background technique [0002] With the rapid development of the Internet, the network office of enterprises is becoming more and more common, and the amount of data generated is also huge. Some enterprises also set up branches or subsidiaries in different places. The data of branches or subsidiaries needs It will be aggregated with the enterprise, and then the enterprise will manage the overall data, such as the enterprise's industrial control data. The format, type and size of the data can be uniformly stipulated by the enterprise to facilitate the subsequent management of the enterprise. [0003] At present, for some industries, it is necessary to combine the data of different enterprises and obtain industry-specific guidance information by analyzing the data of multiple enterprises. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06F16/55
CPCG06F16/35G06F16/55
Inventor 杨灵运袁江远赵秦田张昌福张晓娜王飞飞
Owner 贵州航天云网科技有限公司
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