基于数据分析算法的多目标覆盖无人机网络布局方法研究

Research on multi target coverage UAV networklayout method based on data analysis algorithm

多目标叠加是一个新的综合性概念,它能满足多个约束条件和性能指标,同时具有多个独立于系统的目标函数,在军事、航天、工业等领域有着广泛的应用。同时,可以满足不同情况下对系统资源和安全性的各种要求。本文首先分析了数据分析方法在无人机网络布局方法中的应用,主要是对采集到的数据进行数据筛选、数据预处理、决策树分类,然后利用决策树分类进行无人机网络规划;其次介绍了无人机传感器多目标覆盖模型,并介绍了两种常用模型;最后,本文研究了基于数据分析算法的多目标覆盖无人机网络布局方法。

Multi objective overlay is a new comprehensive concept that satisfies multiple constraints and performance metrics while having multiple objective functions independent of the system and is widely used in many fields such as military,aerospace and industry.At the same time,it can meet various requirements for system resources and security in different situations.Firstly,the application of data analysis method in UAV network layout method is analyzed,which mainly performs data screening,data pre processing,decision tree classification on the collected data,and then plans the UAV network by decision tree classification.Secondly,the multi objective coverage model of UAV sensors is introduced and two commonly used models are presented.Finally,the multi target coverage UAV network layout method based on data analysis algorithm is investigated.