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A big data conversion method and device based on data degeneracy

A conversion method and big data technology, applied in the field of big data, can solve the problems of huge storage pressure, consumption of large storage resources, high storage pressure, etc., and achieve the effect of reducing storage pressure, improving information security, and high information security

Active Publication Date: 2021-11-16
武汉泰乐奇信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Big data analysis in the field of medical care and medical education is implemented on the basis of a large number of sensors for big data collection. The data (generally analog signal data) collected by these sensors is large and requires a lot of storage resources to store , thus forming a huge storage pressure
However, in the traditional big data storage solution, the problem of high storage pressure cannot be effectively solved

Method used

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  • A big data conversion method and device based on data degeneracy
  • A big data conversion method and device based on data degeneracy

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] refer to figure 1 , this embodiment provides a big data conversion method based on data degeneracy, which is applied to a big data conversion terminal, including:

[0053] S1. Receive a set of analog signals obtained by sensing and processing a plurality of preset data sensors, and perform analog-to-digital conversion processing on the analog signals in the set of analog signals according to a preset analog-to-digital conversion method, to obtain a collection of digital signals;

[0054] S2. According to a preset data clustering method, perform clustering processing on the digital signal set to obtain multiple data subsets, and perform a clustering process on all members in each data subset according to a preset similarity calculation method Similarity calculation processing to obtain multiple similarity sets respectively corresponding to the multiple data subsets;

[0055] S3. According to the plurality of similarity sets, one standard data is selected from each data...

Embodiment 2

[0110] refer to figure 2 , this embodiment provides a data degeneracy-based big data conversion device for implementing the big data conversion method described in Embodiment 1, which is applied to a big data conversion terminal, including:

[0111] The digital signal set acquisition unit 10 is configured to receive a set of analog signals obtained by sensing and processing a plurality of preset data sensors, and convert the analog signals in the set of analog signals according to a preset analog-to-digital conversion method. Carry out analog-to-digital conversion processing respectively to obtain a digital signal set;

[0112] The similarity calculation unit 20 is configured to perform clustering processing on the set of digital signals according to a preset data clustering method to obtain multiple data subsets, and perform a clustering process on each data set according to a preset similarity calculation method. All members in the subset perform similarity calculation pro...

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Abstract

This application discloses a big data conversion method based on data degeneracy, respectively performing analog-to-digital conversion processing to obtain digital signal sets; performing clustering processing to obtain multiple data subsets and multiple similarity sets; Obtain multiple standard data; generate multiple virtual digital data, and manually mark the multiple virtual digital data to obtain multiple sample data; train the preset deep neural network model to obtain digital law prediction model; obtain multiple prediction results; form the No. 1 data set and form the No. 2 data set; perform hash calculations respectively to obtain multiple hash values ​​and establish a mapping relationship; perform data degeneracy processing to obtain multiple three Combination of elemental data; large data storage operations are performed to achieve the purpose of data simplification, thereby reducing the storage pressure of big data and improving the information security of big data.

Description

technical field [0001] This application relates to the field of big data, in particular to a method and device for converting big data based on data degeneracy. Background technique [0002] Big data analysis in the field of medical care and medical education is implemented on the basis of a large number of sensors for big data collection. The data (generally analog signal data) collected by these sensors is large and requires a lot of storage resources to store , thus forming a huge storage pressure. However, the traditional big data storage solution fails to effectively solve the problem of high storage pressure. Contents of the invention [0003] This application is a big data conversion method based on data degeneracy, which is applied to big data conversion terminals, including: [0004] S1. Receive a set of analog signals obtained by sensing and processing a plurality of preset data sensors, and perform analog-to-digital conversion processing on the analog signals ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/70G06K9/62
CPCG16H50/70G06F18/23
Inventor 曾承
Owner 武汉泰乐奇信息科技有限公司