A method and system for identifying key situation points under dynamic deduction conditions

By setting target weights, extracting battlefield features, and using the k-means model and advantage curve, the problem of identifying key situation points in dynamic simulation was solved, achieving accurate identification of the battlefield situation, which meets the requirements of the complex environment of modern warfare.

CN116821614BActive Publication Date: 2026-06-16NANJING UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF SCI & TECH
Filing Date
2023-06-09
Publication Date
2026-06-16

AI Technical Summary

⚠Technical Problem

Under dynamic simulation conditions, existing technologies are unable to effectively identify key situational points, especially in modern warfare where they fail to fully consider factors such as geography and environment. Furthermore, existing methods are mainly based on simple clustering algorithms, which fail to fully reflect the dynamic changes in the battlefield situation.

⚗Method used

By setting weights to distinguish the importance of targets, extracting battlefield status change features, using a k-means model for binary classification, and combining the local maximum and minimum points and slope changes of the advantage curves of both red and blue sides, key times are determined and key situation points are identified.

🎯Benefits of technology

It enables the effective identification of key situation points under dynamic simulation conditions, takes into account the main influencing factors in modern warfare, such as combat effectiveness, detection rate, casualty rate and interference rate, conforms to the complex environmental changes of modern warfare, and improves the accuracy and comprehensiveness of identification.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of key situation point identification method and system under dynamic deduction condition.The method is as follows: different target under deduction scene is set weight;In the process of dynamic deduction, the battlefield state change when event occurs is extracted, including the change of fighting power, the change of battle damage rate, the change of discovery rate, then input into k-means model to carry out two classification, obtain key and non-key event;Design red and blue two sides advantage curve chart, x axis represents time, y axis represents red and blue two sides advantage ratio, according to local maximum, minimum point, and whether the change of curve slope exceeds threshold value to determine key time;According to key event and key time, obtain key situation point.The system includes four modules of weight setting, key event determination, key time determination and key situation point determination.The application obtains key situation point by combining two dimensions of key event and key time, and can more effectively obtain key situation point.
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