Predication method and system of macroscopic indexes of civil aviation market

An index and macro technology, applied in the field of data processing, can solve problems such as the inability to analyze and predict the civil aviation market

Inactive Publication Date: 2017-05-31
TRAVELSKY
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present invention provides a method, device and system for forecasting the macro index of the civil aviation market, so as to at least solve the problem that the prior art cannot analyze and predict the civil aviation market based on the civil aviation data assets

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
  • Predication method and system of macroscopic indexes of civil aviation market
  • Predication method and system of macroscopic indexes of civil aviation market
  • Predication method and system of macroscopic indexes of civil aviation market

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] In this embodiment, a method for predicting the macro index of the civil aviation market is provided. figure 1 It is a flowchart of the method for predicting the macro index of the civil aviation market according to an embodiment of the present invention, such as figure 1 As shown, the process includes the following steps:

[0041] Step S102: Classify the flight data according to the model training data set and the model application data set respectively;

[0042] Step S104: Convert the classified model training data set into a matrix, and generate a prediction model;

[0043] Step S106: Apply the prediction model to the model application data set to obtain the macro index prediction result.

[0044] Through the above steps, the flight data is classified according to the model training data set and the model application data set, the classified model training data set is converted into a matrix, and a prediction model is generated, and the prediction model is applied to the mode...

Embodiment 2

[0063] In this embodiment, a device and system for predicting the macro index of the civil aviation market are also provided, which are used to implement the above-mentioned embodiments and preferred implementations, and those that have been explained will not be repeated. As used below, the term "module" may implement a combination of software and / or hardware with predetermined functions. Although the devices described in the following embodiments are preferably implemented by software, hardware or a combination of software and hardware is also possible and conceived.

[0064] figure 2 Is a structural block diagram of the apparatus for predicting the macro index of the civil aviation market according to an embodiment of the present invention, such as figure 2 As shown, the device includes:

[0065] The classification module 20 is used to classify flight data according to the model training data set and the model application data set respectively;

[0066] The generating module 22...

Embodiment 3

[0090] This embodiment provides a method and system for predicting the macro index of the civil aviation market. Based on the flight data of civil aviation, the flight data of a dynamic time period is selected to establish a prediction model, and the macro index in a fixed time period in the future is predicted by this model.

[0091] For each system module described above, the specific implementation process is as follows:

[0092] Data preprocessing module

[0093] Figure 4 It is the implementation flowchart of the data preprocessing module of the embodiment of the present invention, and the module flowchart is as Figure 4 Shown. The implementation steps are as follows:

[0094] Extracted from the data platform, the flight schedule data of five consecutive complete natural years is used as the model training data set, and the flight schedule data of the recent one year is used as the model application data set. The data content includes: flight schedule year, flight schedule Week...

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 provides a predication method and system of macroscopic indexes of a civil aviation market. The method comprises the following steps: classifying flight numbers according to a model training data set and a model application data set; converting the classified model training data set into a matrix and generating a predication model; applying the predication model to the model application data set, so as to obtain a predicated result of the macroscopic indexes. By adopting the predication method and system provided by the invention, the blank of utilizing civil aviation data assets to analyze and predicate a total condition of the civil aviation market is filled, and the problem in the prior art that the civil aviation market cannot be analyzed and predicated according to the civil aviation data assets is solved.

Description

Technical field [0001] The invention relates to the field of data processing, in particular to a method, device and system for predicting the macro index of the civil aviation market. Background technique [0002] In recent years, with the rapid economic development, more and more people have chosen airplanes as their means of transportation, and the number of passengers has increased year by year. The overall development of China's civil aviation market is improving. At the same time, some internal systems in the civil aviation industry, such as agent distribution systems and airline booking systems, are also accumulating large amounts of data, and the scale of data is increasing year by year. The macro index is based on the overall situation of the civil aviation market and reflects the prosperity and changes of the civil aviation market in the form of indexation. It includes core indicators such as the prosperity index, the volume price index and the passenger load factor inde...

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): G06Q10/04G06Q30/02G06Q50/30
CPCG06Q10/04G06Q30/0202G06Q50/30
Inventor 陈旭何紫薇孙利强
Owner TRAVELSKY
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap