Multi-resolution modeling method and system based on multiple agents

A multi-resolution, multi-agent technology, applied in 3D modeling, energy-saving computing, climate sustainability, etc., can solve the problems of high system complexity, high flexibility, high computer resource consumption, etc., to reduce system complexity , Improve the flexibility of use and reduce the consumption effect

Pending Publication Date: 2022-08-02
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the defects of high system complexity, high consumption of computer resources, and high flexibility described in the prior art, the present invention provides a multi-resolution modeling method and system based on multi-agents

Method used

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  • Multi-resolution modeling method and system based on multiple agents
  • Multi-resolution modeling method and system based on multiple agents
  • Multi-resolution modeling method and system based on multiple agents

Examples

Experimental program
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Embodiment 1

[0053] This embodiment proposes a multi-agent-based multi-resolution modeling method, such as figure 1 As shown, it is a flowchart of the multi-agent-based multi-resolution modeling method of this embodiment.

[0054] The multi-agent-based multi-resolution modeling method proposed in this embodiment includes the following steps:

[0055] S1. Construct a multi-agent system composed of a perceptual decision-making agent 2 and multiple model agents 4.

[0056] In this embodiment, the perceptual decision-making agent 2 is used to make switching scheduling decisions for the multi-resolution of any model agent 4 .

[0057] The model agent 4 is used to perform simulation operations, and switch to use different resolution models according to the decision of the perception decision agent 2 .

[0058] S2. Acquire the resource usage status data of the simulation server 1 and the resolution information of all model agents 4 currently running.

[0059] S3. According to the resource usag...

Embodiment 2

[0110] In this embodiment, a multi-agent-based multi-resolution modeling method proposed in Embodiment 1 is applied to a combat simulation of arms in a scenario where infantrymen of red and blue are assumed to engage. like Figure 5 As shown, the overall simulation flow chart of this embodiment is shown.

[0111] In this example, it is assumed that one reinforced company (15 squads) of the red side and one company (10 squads) of the blue side are at war until one side is eliminated. The forces of the red and blue sides are isomorphic, using the same high-low score model, except that the red side has more troops.

[0112] At this time, the model is constructed with the company level as the basic unit, and the red team has 1.5 companies and the blue team has 1 company. The attack power is calculated in the following way: each attack power attack_low is calculated according to a Gaussian distribution with 10 times the remaining continuous number as the mean μ and the remaining ...

Embodiment 3

[0127] This embodiment proposes a multi-agent-based multi-resolution modeling system, and applies the multi-agent-based multi-resolution modeling method proposed in Embodiment 1. like Image 6 As shown, the architecture diagram of the multi-agent-based multi-resolution modeling system of this embodiment is shown.

[0128] The multi-agent-based multi-resolution modeling system proposed in this embodiment includes a simulation server 1, a perception decision-making agent 2 for making switching scheduling decisions for the multi-resolution of any model agent 4, and several models Agent 4.

[0129] The model agent 4 in this embodiment is used to perform simulation operations, and switch to use different resolution models according to the decision of the perception decision agent 2 .

[0130] In the specific implementation process, the perceptual decision-making agent 2 outputs the next step of each model agent 4 based on the multi-resolution switching algorithm according to the ...

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Abstract

The invention relates to the technical field of multi-resolution modeling, and provides a multi-agent-based multi-resolution modeling method and system, and the method comprises the steps: constructing a multi-agent system composed of a perception decision agent and a plurality of model agents; wherein the perception decision-making agent is used for carrying out switching scheduling decision-making on multiple resolutions of any model agent; the model agent is used for executing simulation operation and switching to use different resolution models according to the decision of the perception decision agent; obtaining resource use state data of the simulation server and current operation resolution information of all model agents; the perception decision-making agent outputs decision-making signals including resolution models which should be selected by all the model agents in the next step based on a multi-resolution switching algorithm; and each model agent selects and uses a target resolution model for executing multi-resolution modeling according to the received decision signal, and outputs a simulation result.

Description

technical field [0001] The present invention relates to the technical field of multi-resolution modeling, and more particularly, to a multi-resolution modeling method and system based on multi-agents. Background technique [0002] A digital twin is a digital twin of a physical entity, a real-time dynamic model that reflects the entire life cycle process of a physical system. Compared with ordinary simulation models, digital twin has more complete mapping and stronger real-time performance. It can monitor the real-time state of objects synchronously with the help of sensors on physical entities or data obtained through simulation. The return of the required data to the physical entity leads to the actual state change of the object, which is equivalent to realizing a one-to-one modeling mapping between the physical entity and the digital model, which can integrate data of multiple dimensions and present and feedback the object's status in almost real time. actual state. The ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00G06T3/40
CPCG06T17/00G06T3/4053Y02D10/00
Inventor 周颖邹小海沈悦郑鹏根陈洁琪严嘉怡
Owner SUN YAT SEN UNIV
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