摘要
传统方法仅对无人机进行软约束,难以抵达敏感区,导致监测效果较差。为此,提出一种地质灾害敏感区无人机自主监测网络动态部署方法。采集并分析地质灾害敏感区的信息数据,融合多源数据;结合融合数据建立地质灾害预测模型预测风险,动态调整无人机路径;制定无人机的约束条件,将约束条件转化为路径参数框架的硬约束,以优化路径参数;在参数框架中选取监测效果指标,构建综合评估模型计算综合隶属度,选取数值最大的策略作为最优部署策略。实验表明,所提部署方法的监测效果较好,无人机监测频率为45MHz,监测网络的覆盖率为90%。
Since traditional methods merely impose soft constraints on UAVs,making it difficult for them to reach sensitive areas and resulting in poor monitoring performance,a dynamic deployment method for an autonomous UAV monitoring network in geological hazardsensitive areas is proposed.Information data from geological hazardsensitive areas are collected and analyzed,and multi-source data are fused.A geological hazard prediction model is established by integrating the fused data to predict risks,and the UAV paths are dynamically adjusted accordingly.Constraints for the UAVs are formulated,and these constraints are transformed into hard constraints within the path parameter framework to optimize the path parameters.Monitoring performance indicators are selected from the parameter framework,and a comprehensive evaluation model is constructed to calculate the comprehensive membership degree.The strategy with the highest numerical value is then chosen as the optimal deployment strategy.Experiments demonstrate that the proposed deployment method yields favorable monitoring results,with the UAV monitoring frequency reaching 45 MHz and the coverage rate of the monitoring network reaching 90%.
作者
孙雪卉
黄淑芬
钟磊
SUN Xuehui;HUANG Shufen;ZHONG Lei(Guiyang Institute of Information Science and Technology,Guiyang,Guizhou 550025,China)
出处
《自动化应用》
2025年第16期97-99,共3页
Automation Application
关键词
地质灾害
灾害敏感区
无人机
自主监测网络
动态部署方法
geological disasters
hazard sensitive area
UAV
autonomous monitoring network
dynamic deployment method
