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三维空间的自适应气体源定位方法 被引量:1

Adaptive gas source localization method in three-dimensional space
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摘要 现有气体源定位方法大多在在二维平面上开展研究,与气体扩散的三维特性不符,且无法兼具烟羽发现、烟羽跟踪以及气体源确认功能,为此提出一种三维空间的自适应气体源定位方法。利用改进烟花算法协调多无人机进行气体源定位,烟花爆炸产生火花的过程即对目标空间的搜索过程,改进烟花算法特殊的爆炸机制和选择策略使该方法可以自适应地进行烟羽发现、烟羽跟踪以及气体源确认,完成气体源的定位任务。采用高斯烟羽模型进行仿真验证,实验结果表明了所提方法能够在三维空间环境下快速准确地定位到气体源。 The existing gas source localization methods are mostly studied on the two-dimensional plane,which are inconsistent with the three-dimensional characteristics of gas diffusion without the functions of plume detection,plume tracking and gas source confirmation,so a three-dimensional space gas source location method was proposed.The improved fireworks coordinating unmanned aerial vehicle was used for gas source localization,and fireworks blast spark process was to search the target space.The special explosion mechanism and selection strategy of fireworks algorithm were improved to make the method adapt to smoke plume finding,plume tracking and gas source confirming,the gas source localization task was completed.The Gauss plume model was used to simulate and verify the proposed method.Experimental results show that the proposed method can locate the gas source quickly and accurately in the three-dimensional environment.
作者 崔益豪 王巍 王彤 朱天宇 田立勤 CUI Yi-hao;WANG Wei;WANG Tong;ZHU Tian-yu;TIAN Li-qin(School of Information and Electrical Engineering,Hebei University of Engineering,Handan 056038,China;Hebei Key Laboratory of Security and Protection Information Sensing and Processing,Hebei University of Engineering,Handan 056038,China;School of Internet of Things Engineering,Jiangnan University,Wuxi 214122,China;Hebei Engineering Technology Research Center for IoT Data Acquisition and Processing,North China Institute of Science and Technology,Langfang 065201,China)
出处 《计算机工程与设计》 北大核心 2020年第11期3241-3248,共8页 Computer Engineering and Design
基金 国家自然科学基金项目(61802107) 河北省物联网数据采集与处理工程技术研究中心开放课题基金项目(2016-2) 江苏省博士后科研资助计划基金项目(1601085C) 邯郸市科学技术研究与发展计划基金项目(1625202042-1)。
关键词 气体源定位 无人机 三维 自适应 烟花算法 gas source localization unmanned aerial vehicle(UAV) 3D adaptive fireworks algorithm
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