Big data-based industry trend accurate prediction method and system

A forecasting method and big data technology, applied in forecasting, data processing applications, calculations, etc., can solve problems such as inability to obtain accurate analysis and forecasting in new industries, and achieve a high degree of generalization and the effect of improving accuracy

Inactive Publication Date: 2017-10-27
前海梧桐(深圳)数据有限公司
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the above-mentioned patents also analyze the state of the industry and predict its development trend from the perspective of electricity consumption, which can only be aimed at typical industries, and cannot be accurately analyzed and predicted for some new industries

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-based industry trend accurate prediction method and system
  • Big data-based industry trend accurate prediction method and system
  • Big data-based industry trend accurate prediction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0078] In order to more fully understand the technical content of the present invention, the technical solutions of the present invention are further introduced and described below with reference to specific embodiments, but are not limited thereto.

[0079] like Figures 1 to 10 In the specific embodiment shown, the method for accurate prediction of industry trends based on big data provided in this embodiment can be used in the process of institutions predicting the current development of various industries, so as to improve the accuracy of prediction and analysis, and can be used for certain industries. The individual control of the industry can make up for the shortcomings of macro industry forecast analysis, and the degree of generalization is high.

[0080] like figure 1 As shown, this embodiment provides an accurate prediction method for industry trends based on big data, and the method includes:

[0081] S1. Obtain massive enterprise data;

[0082] S2. According to ...

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-based industry trend accurate prediction method and system. The method comprises the steps of obtaining massive enterprise data; according to the massive enterprise data, locating subdivided industries of enterprises; according to the subdivided industries and the massive enterprise data, obtaining a micro-index library; establishing a life cycle index library for each subdivided industry; for a sample industry needed to be predicted, predicting an upward or downward development trend of the sample industry by utilizing the micro-index library; and for the sample industry needed to be predicted, predicting a life cycle in which the sample industry is located by utilizing a life cycle index library. According to the method and the system, the massive enterprise data is obtained; in combination with accurate locating of the subdivided industries of the industry, the micro-index library is formed for predicting the upward or downward development trend of the industry; the life cycle index library is established for predicting the life cycle of the industry; the accuracy of prediction and analysis is improved; certain industries can be separately controlled; the defects of macroscopic industry prediction analysis can be made up for; and the universality degree is high.

Description

technical field [0001] The present invention relates to a method for predicting industry trends, and more particularly, to a method for accurately predicting industry trends based on big data and a system thereof. Background technique [0002] Industry generally refers to the category of economic activities classified by the production of similar products or the same process or the provision of similar labor services, such as the catering industry, clothing industry, machinery industry, financial industry, mobile Internet industry, etc. The analysis is mainly to analyze the state of the entire industry from the perspective of industry trends. [0003] At present, industry trends are mainly analyzed by the government or professional institutions, but they are all macroscopic analysis and prediction. First, the accuracy of industry division is not high enough. Macroscopic analysis based on macro indicators such as electricity consumption can only be used for some specific indu...

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): G06Q10/04
CPCG06Q10/04
Inventor 李小强
Owner 前海梧桐(深圳)数据有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products