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

Large-scale combat aviation material demand forecast and reserve decision-making method

A technology of demand forecasting and decision-making methods, applied in forecasting, data processing applications, instruments, etc., can solve problems such as poor accuracy of aviation material demand measurement, achieve high scientificity and practicality, high promotion and application value, and ensure accuracy Effect

Active Publication Date: 2022-02-01
中国人民解放军海军航空大学青岛校区
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0016] The present invention aims at the above-mentioned problems such as the poor accuracy of aviation material demand measurement and calculation existing in the prior art, and provides a large-scale combat aviation material demand prediction and reserve decision-making method, which can ensure the accuracy of aviation material demand measurement and calculation, and enhance Ability to supply aviation materials

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
  • Large-scale combat aviation material demand forecast and reserve decision-making method
  • Large-scale combat aviation material demand forecast and reserve decision-making method
  • Large-scale combat aviation material demand forecast and reserve decision-making method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0077] Embodiment 1: The embodiment of the present invention provides a method for constructing a large-scale combat aviation material demand forecast and reserve decision model, which contains the following steps:

[0078] S1. According to the acquired number of aircraft battle injuries N s and the number of aircraft battle damage N k Build a prediction model for the number of available aircraft in combat, and obtain the number of aircraft available during combat N′ Y , the prediction model for the number of combat available aircraft is expressed as:

[0079]

[0080] In the formula, N S =N Y ×p 1 ×p 2 ×α,N K =N Y ×p 1 ×p 2 ×φ,N Y is the actual number of combat aircraft at the beginning of the entire campaign, p 1 is the battle sortie rate, p 2 is the daily average dispatch intensity, α is the aircraft damage rate, φ is the aircraft damage rate, σ is the proportion of war-damaged aircraft repaired on the spot, 1-σ is the proportion of war-damaged aircraft repai...

Embodiment 2

[0124] Embodiment 2: The embodiment of the present invention provides a method for constructing a large-scale combat aviation material demand forecast and reserve decision model, and its steps S1 and S3 are the same as those in Embodiment 1. But step S2 is different from Embodiment 1. In this embodiment, step S2 is: constructing a combat aviation material demand forecasting model, and predicting the combat aviation material demand n″ according to the combat aviation material demand forecasting model. The specific steps of constructing the combat aviation material demand forecasting model are:

[0125] S21. According to the number of aircraft available during the operation N′ Y Construct a demand forecast model for long-term aviation materials, and the demand forecast model for long-term aviation materials is expressed as:

[0126]

[0127] In the formula, n" 0 is the quantity of long-lived aviation materials that needs to be raised before the war, b is the number of singl...

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 present invention relates to a large-scale combat aviation materials demand prediction and reserve decision-making method, comprising the following steps: S1, according to the acquired number N of aircraft battle injuries s and the number of aircraft battle damage N k Build a prediction model for the number of available aircraft in combat, and obtain the number of aircraft available during combat N′ Y ; S2. Constructing a combat aviation material demand prediction model, predicting the combat aviation material demand n″ according to the combat aviation material demand prediction model; S3, constructing a combat aviation material reserve decision model according to the combat aviation material demand n″, The decision-making model determines the reserve limit of combat aviation materials. The invention can ensure the accuracy of the measurement and calculation of the aviation material demand, and enhance the aviation material supply guarantee capability.

Description

technical field [0001] The invention belongs to the technical field of aviation maintenance support, and relates to a large-scale combat aviation material demand forecasting and reserve decision-making method. Background technique [0002] The consumption law of large-scale combat aviation materials is more complicated than usual, and the uncertainty of its consumption is more obvious. When forecasting the demand for aviation materials in wartime, in addition to considering the consumption caused by the execution of tasks, it is also necessary to consider the impact of various combat-related factors on the consumption of aviation materials. ; In addition, it is necessary to enhance the supply guarantee capability of aviation materials through management means to make up for the lack of quantitative forecasting. [0003] The literature "Research on the Demand Model of Aircraft War Damage Spare Parts" believes that the role of the air force in modern warfare is becoming more ...

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 Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26
CPCG06Q10/04G06Q10/067G06Q50/26
Inventor 郭峰杨霄杨彦明高富东王恒新陈强赵文娟
Owner 中国人民解放军海军航空大学青岛校区
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