火力与指挥控制2025，Vol.50Issue(4)：150-159,168,11.DOI:10.3969/j.issn.1002-0640.2025.04.021
联合作战空战场中空域需求大数据冲突检测与消解模型
Big Data Conflict Detection and Resolution Model for Airspace Demands in Joint Operational Air Battlefields
张帅 1邱玮玮 1郝风杰 1马天宇 1高胜东 1吴玉生 1苏俊通1
作者信息
- 1. 解放军32282部队,济南 250022
- 折叠
摘要
Abstract
To address the issue of conflict detection and resolution in big data of airspace demands this study establishes an airspace conflict detection model based on the GJK Minkowski difference set with a safety bounding box,which is grounded in the three criteria that airspace conflicts must simultaneously satisfy and the five basic principles that airspace resolution should follow.This model conducts a comprehensive conflict detection for the proposed airspace demand applications.On this basis,an optimization model for airspace conflict resolution is constructed using cluster analysis and genetic algorithms,and it has been simulated and verified using real datasets.The approach can effectively detect potential airspace conflicts and provide corresponding resolution solutions,offering effective support for the optimization of airspace demand applications in joint operation air battlefield management.关键词
联合作战空战场/GJK算法/闵可夫斯基差集/K-means聚类/遗传算法Key words
joint operational air battlefields/GJK algorithm/minkowski difference set/K-means cluster/genetic algorithm分类
军事科技引用本文复制引用
张帅,邱玮玮,郝风杰,马天宇,高胜东,吴玉生,苏俊通..联合作战空战场中空域需求大数据冲突检测与消解模型[J].火力与指挥控制,2025,50(4):150-159,168,11.
