Function-based equipment decision behavior simulation modeling method and system

A simulation modeling and decision-making technology, applied in the field of decision-making, can solve the problems of complex state transition relationship, limited expression ability, complex tactics and tactics, etc., to achieve the effect of easy maintenance and expansion

Pending Publication Date: 2022-07-26
NAT UNIV OF DEFENSE TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Practice shows that the air combat decision-making behavior modeling based on the state diagram has certain limitations when describing the air combat decision-making behavior, and cannot truly reflect the actual air combat combat process. The main manifestations are: First, the state transition relationship is complex and difficult to maintain
The future air combat is a joint and integrated cross-domain operation, which contains many weapons and equipment and complex tactics. Using a state diagram to describe it will inevitably lead to a large number of states and complex transfer relationships between these states, which is not easy to maintain. The scalability is not good, adding a state will often cause changes in the entire state diagram, resulting in a lot of debugging work
Second, the ability to express is limited and cannot describe the uncertainty of expert knowledge
The third is the non-modular modeling method, which is difficult to model
Ho

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
  • Function-based equipment decision behavior simulation modeling method and system
  • Function-based equipment decision behavior simulation modeling method and system
  • Function-based equipment decision behavior simulation modeling method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the protection scope of the present invention can be more clearly defined.

[0028] The design concept of the present invention is a functional decision tree, and the functional decision tree is a quintuple FDT=(T,N analysis ,N action ,N decision ,ξ,δ,λ), where T is the time set, N analysis For the analysis node set, N action is the action node set, N decision is the set of decision nodes, ξ:N analysis →N decision Enter the function for the data, δ:N decision ×N analysis →N decision is the decision node control function, λ:N decision ×N analysis →N action Output the function for the action.

[0029] The design concept of the functional decision tree of the present invention mainly includes the following three...

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 discloses a function-based equipment decision behavior simulation modeling method and system. The method comprises the steps that S1, a function decision tree is constructed, the function decision tree comprises meta-model root nodes, the meta-model root nodes comprise tree nodes and edges, the tree nodes comprise situation analysis nodes, decision nodes and action nodes, and the edges comprise data edges used for data transmission and decision edges used for decision control; the situation analysis node, the decision node and the action node are associated through a data edge and a decision edge; s2, executing simulation, judging node types, executing a corresponding decision and returning to a next decision node if the node is a decision node, iterating if the next decision node is not empty, and directly executing a corresponding action if the next decision node is an action node; and if the nodes are the situation analysis nodes, topological sorting is carried out on all the nodes, and then each situation analysis node in sorting is circularly executed to obtain a final output value. According to the method, the problem of state space combination explosion caused by excessive input variables can be effectively relieved.

Description

technical field [0001] The invention relates to the technical field of decision-making, and more particularly, to a function-based simulation modeling method and system for equipment decision-making behavior. Background technique [0002] Combat effectiveness assessment is an important part of supporting the whole life cycle of fighter equipment demonstration, development and use. With the maturity of simulation technology and the improvement of effectiveness assessment requirements, combat simulation has become the main technology for combat effectiveness assessment of fighter jets. The fighter combat effectiveness simulation evaluation is inseparable from the support of an efficient and credible fighter combat simulation system, and the pilot's decision modeling is a key part of the construction of the fighter combat simulation system. The existing combat simulation systems for combat effectiveness evaluation of fighter jets generally lack effective air combat decision mod...

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
IPC IPC(8): G06F30/27G06K9/62G06N3/12G06N7/02
CPCG06F30/27G06N3/126G06N7/02G06F18/24323
Inventor 朱智吴一非雷永林王涛李群朱一凡
Owner NAT UNIV OF DEFENSE TECH
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