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Aircraft query method and system based on balanced hash coding

A hash coding and aircraft technology, applied in the information field, can solve problems such as unbalanced hash code coding, and achieve the effect of low overhead and high expression

Active Publication Date: 2019-11-19
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] From the previous introduction, a method of balanced hash code encoding is proposed to solve the problem of unbalanced hash code encoding in hash learning, so that shorter codes can be used to represent more information, and further optimize the retrieval of aircraft. problem, it is very necessary and of great practical application value

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  • Aircraft query method and system based on balanced hash coding
  • Aircraft query method and system based on balanced hash coding
  • Aircraft query method and system based on balanced hash coding

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Embodiment Construction

[0031] The present invention will be described in detail below through specific embodiments and accompanying drawings.

[0032] figure 1 A schematic diagram of the composition and structure of the retrieval system based on balanced hash coding in the embodiment of the present invention, and the functions of the modules shown therein are respectively described as follows:

[0033] Data storage module: used to store original data sets, and provide services for storing data and saving calculation results for the patented core algorithm module, and can use but not limited to dat, csv and other file types of storage.

[0034] Aircraft modeling module: connect to the data storage module, provide modeling services through aircraft shape parameter data and flight condition parameters, model aircraft data to the greatest extent, and ensure retrieval quality.

[0035] Data preprocessing module: connect to the aircraft modeling module to preprocess the aircraft data, including missing d...

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Abstract

The invention discloses an aircraft query method and system based on balanced hash coding. The method comprises the following steps: modeling and representing a corresponding aircraft by utilizing flight parameter data and flight condition data of each aircraft in a data set; generating a corresponding vector space for each coded aircraft to limit the balance and identifiability of hash code generation, and determining a hash code mode of the aircraft; performing hash coding on the target aircraft by using the determined hash coding mode; and carrying out matching query by utilizing hash codeinformation of the aircraft to finally obtain the aircraft matched with the target aircraft in the data set. An unsupervised learning mode without manual intervention is adopted to carry out balancedhash coding on the aircraft, so that the storage cost of the aircraft is effectively reduced, and retrieval operation is carried out based on the coded aircraft.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to the use of computer-aided mining and modeling of aircraft, in particular to an aircraft query method based on balanced hash coding, which uses an unsupervised learning method without manual intervention to perform balanced hash coding on the aircraft, and The query operation is performed based on the coded aircraft for the user to obtain qualified aircraft query results. Background technique [0002] The analysis of aerodynamic characteristics and aerodynamic uncertainty is of great value and significance for the development of aircraft. However, for the aircraft to be developed, the calculation of its corresponding aerodynamic characteristics and aerodynamic uncertainty involves a large amount of data and complex calculations. Therefore, we hope that we can search from the existing aircraft to find the one that is most similar to the newly developed aircraft, so that the hist...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2457
Inventor 黄梓铭王腾蛟陈薇
Owner PEKING UNIV
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