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

Big data analysis system

An analysis system and big data technology, applied in the field of information management, can solve the problems of slow data processing speed, large data volume, work efficiency discount, etc., to achieve the effect of high-efficiency data report production, efficient system analysis, and labor cost saving

Pending Publication Date: 2020-12-25
河南网络广播电视台有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The results analyzed on the basis of the collected data are not accurate enough, and may differ greatly from the actual situation; at the same time, due to the relatively large volume of data, the system data processing speed is slow, and it does not support multiple people to operate at the same time, so the work efficiency is greatly improved Discount

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0016] A big data analysis system includes a viewing data processing module, a viewing data calculation module and a viewing data reporting module. The viewing data processing module is used for data collection, data cleaning and data storage in the broadcast control platform. The ratings data calculation module is used for calculation of ratings data and user portrait analysis. The viewing data reporting module is used for generating data reports and data charts.

Embodiment 2

[0018] The difference between this embodiment and Embodiment 1 is that the viewing data processing module collects the original viewing data through the set-top box, and the information collected includes the user terminal version, the operator platform to which the user is located, the channel and program the user watches, the user The time to start and end viewing.

[0019] The viewing data processing module regularly cleans the data every day, and stores the cleaned data into the distributed computing storage nodes for data calculation.

Embodiment 3

[0021] The difference between this embodiment and Embodiment 2 lies in that: the original viewing data also includes invalid behavior data, and the invalid behavior data is the behavior data of continuously changing channels and not turning off the phone at night. The viewing data processing module cleans the data according to the rules of the user's stay time, and only keeps valid behavior data to avoid data pollution.

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 discloses a big data analysis system, which comprises a viewing data processing module, a viewing data calculation module and a viewing data report module; the viewing data processing module is used for data acquisition, data cleaning and data storage in the broadcast control platform; the viewing data calculation module is used for calculating viewing data and analyzing user portraits; and the viewing data report module is used for generating a data report and a data chart. According to the big data analysis system, system analysis is efficient, comprehensive and accurate, real-time data and offline data are connected, precise operation of a broadcast control platform is achieved, and simultaneous access of multiple persons is supported.

Description

technical field [0001] The invention relates to the technical field of information management, in particular to a big data analysis system. Background technique [0002] Traditional viewing data collection generally adopts the sampling method, that is, the data of the same point is collected repeatedly at a certain time interval (called the sampling period). Most of the collected data are instantaneous values, or a characteristic value within a certain period of time. The results analyzed on the basis of the collected data are not accurate enough, and may differ greatly from the actual situation; at the same time, due to the relatively large volume of data, the system data processing speed is slow, and it does not support multiple people to operate at the same time, so the work efficiency is greatly improved Discount. Contents of the invention [0003] In view of this, the purpose of the present invention is to provide a big data analysis system for the deficiencies of t...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/22G06F16/215G06F16/78G06F16/787
CPCG06F16/2282G06F16/215G06F16/7867G06F16/787
Inventor 时伟陈宁岳嵩彪常爱军宋汉林秦珂王嘉
Owner 河南网络广播电视台有限公司
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