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Machine learning-oriented ultra-fast air combat simulation method and system

A technology of machine learning and simulation methods, applied in machine learning, design optimization/simulation, instruments, etc., can solve problems such as system operation efficiency

Pending Publication Date: 2021-04-23
SHENYANG AIRCRAFT DESIGN INST AVIATION IND CORP OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] This application provides a machine learning-oriented ultra-fast air combat simulation method and system, mainly aimed at the problems faced by machine learning in the field of air combat design, and solving the problems faced in the application of air combat design
[0009] a) Solve the problem of system operation efficiency;
[0011] c) Solve the problem of large-scale deployment of the system

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  • Machine learning-oriented ultra-fast air combat simulation method and system
  • Machine learning-oriented ultra-fast air combat simulation method and system
  • Machine learning-oriented ultra-fast air combat simulation method and system

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[0034] In order to make the objectives, technical solutions and advantages of the implementation of the application clearer, the technical solutions in the implementation modes of the application will be described in more detail below with reference to the drawings in the implementation modes of the application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all, embodiments of the present application. The embodiments described below by referring to the figures are exemplary and are intended to explain the present application, and should not be construed as limiting the present application. Based on the implementation manners in this application, all other implementation manners obtained by persons of ordinary skill in the art without creative efforts fall within the scope of protection of this application. Embodiments of the pr...

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Abstract

The invention belongs to the technical field of simulation model design, and particularly relates to a machine learning-oriented ultra-fast air combat simulation method and system. The system comprises a plurality of nodes, the plurality of nodes carry out unified data collection through a cloud platform, and each node comprises: an intelligent decision module used for carrying out AI algorithm learning, generating an aircraft control instruction and giving an imaginary command and an initialization command; a simulation control system which is used for carrying out simulation process control and data synchronization management on the plurality of simulation operation frameworks connected with the simulation control system; and a plurality of simulation operation frameworks which are used for carrying out simulation confrontation maneuver according to the aircraft control instruction. Data interaction among multiple processes is carried out in a memory sharing mode, and the problem that deployment cannot be achieved due to network configuration is solved.

Description

technical field [0001] The application belongs to the technical field of simulation model design, in particular to a method for constructing an ultra-fast air combat simulation system oriented to machine learning. Background technique [0002] In 2017, AlphaGo's victory in the human-machine battle of Go opened a new era of intelligent algorithms. A new era of machine learning for intelligent systems. In the field of aircraft design, the application of machine learning algorithms is still in the exploratory stage. Since the machine learning algorithm is extremely dependent on the simulation operating environment, the existing simulation environment cannot support machine learning. The main reasons are: [0003] a) The operating efficiency of the system is not high. Taking AlphaGo Zero as an example, it conducted 4.9 million times of self-play training within 3 days before the confrontation, which requires the simulation system to have ultra-fast computing power. However, ...

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Application Information

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IPC IPC(8): G06F30/27G06N20/00
CPCG06F30/27G06N20/00
Inventor 王辉白金鹏孙智孝林鑫李婷珽刘昊雨
Owner SHENYANG AIRCRAFT DESIGN INST AVIATION IND CORP OF CHINA