Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Big-data analysis system

An analysis system and data analysis technology, applied in the field of data analysis, to achieve the effect of wide sources, large scope, and correction of deviations

Active Publication Date: 2018-02-02
北京天平检验行有限公司
View PDF4 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to make up for the inability of traditional methods to deal with such a large amount of unstructured big data, people have developed cloud computing, which is based on cloud computing. Store the big data of multiple terminals

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Big-data analysis system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The following is attached figure 1 The present invention will be described in further detail.

[0029] Such as figure 1 As shown, a big data analysis system includes a data acquisition module, a data transmission module, a data storage module, a data analysis server, and terminal equipment;

[0030] The data collection module is used to collect data information;

[0031] The data transmission module is used to transmit the collected data information to the data storage module;

[0032] The data storage module is used to store data information;

[0033] The data analysis server is configured to select a corresponding analysis method according to the data analysis requirements input by the terminal device to perform statistical analysis on the data received from the data storage module, and send the data analysis result after the statistical analysis to the terminal device;

[0034] The terminal device is used to receive the data analysis result sent by the data analysis server on...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a big-data analysis system. According to the system, various data collection manners can be utilized to collect data; an encrypted data signal is formed by the collected datathrough encryption processing; the encrypted data signal is transmitted to a data storage module through a data transmission module; the encrypted data signal is transmitted to a data analysis serverby the data storage module; and in the data analysis server, firstly, the encrypted data signal is decrypted through a data decryption module, detection, marking, classification and analysis are sequentially carried out on a decrypted data signal through a data detection module, a data marking module, a data classification module and a data analysis module, then a data analysis result is obtained,the data analysis result obtained by the data analysis module is evaluated through an evaluation module, and finally, deviation correction is carried out on an unqualified data analysis result through a correction module. Accuracy of the big-data analysis system is improved.

Description

Technical field [0001] The invention relates to the technical field of data analysis, in particular to a big data analysis system. Background technique [0002] With the rapid development of informatization, big data has emerged. Big data technology refers to a large-scale data collection that greatly exceeds the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis. The four characteristics of data scale, fast data flow, diverse data types and low value density. There are two main reasons for the formation of data diversification: one is that there are many data sources, such as search engines, social networks, call records, sensors, etc.; the other is that there are many data formats, including structured data, semi-structured data, and unstructured data. According to relevant statistics, people send 290 emails every second; Amazon processes 72.9 orders; every minute people upload 20 hours of videos on YouTube; and every...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/30G06F21/60H04L29/06H04L29/08
CPCG06F16/2465G06F21/602H04L63/0428H04L63/08H04L67/10
Inventor 白云飞
Owner 北京天平检验行有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com