The invention discloses a multi-gas pollution source positioning method based on an improved beetle antennae search algorithm, aims to make up the defects of the existing multi-gas source positioning technology, and provides the multi-gas pollution source positioning method based on the improved beetle antennae search algorithm by innovatively combining a multi-unmanned aerial vehicle group with the improved beetle antennae search algorithm. The group method comprises the steps of group forming, group size limiting, combination merging and group disintegration, distance and fitness are considered when the unmanned aerial vehicle is evaluated to join in which group, and the unmanned aerial vehicle is helped to join in the group selectively when receiving a plurality of signals at the same time. The unmanned aerial vehicle distribution efficiency is improved by limiting the group size; the combination is combined when the y position coordinate difference of the unmanned aerial vehicles at the global optimal positions of the two groups is smaller than the crosswind distance, the system performance can be improved, and local redundancy can be avoided; group disintegration is taken into account, preventing the group from staying in the found gas source all the time. According to the method, the positioning of the multiple gas pollution sources is efficiently realized in the simulation experiment of the concentration field of the multiple gas pollution sources.

    本发明公开了一种基于改进天牛须搜索算法的多气体污染源定位方法,为了弥补现有多气体源定位技术的不足,本发明创新性的将多无人机群与改进天牛须搜索算法结合,提出了一种基于改进天牛须搜索算法的多气体污染源定位方法。在组方法中包括组形成、限制组大小、组合并、组解散,在评估无人机加入哪个组时考虑距离和适应度,有助于无人机在同时接收多个信号时有选择的加入组;限制组大小提高了无人机分配效率;组合并是当两个组的全局最佳位置的无人机的y位置坐标差小于侧风距离时合并,可以提升系统性能和避免局部冗余;考虑组解散,避免该组一直停留在已找到的气体源中。本方法在多气体污染源浓度场仿真实验中,高效地实现了多气体污染源的定位。


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    Title :

    Multi-gas pollution source positioning method based on improved beetle antennae search algorithm


    Additional title:

    一种基于改进天牛须搜索算法的多气体污染源定位方法


    Contributors:
    LIANG HENGRUI (author) / LUO LIGANG (author) / DING TAO (author) / MU JINXIA (author) / DENG QIN (author) / LIU ZHENGUO (author)

    Publication date :

    2022-12-27


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G01N Untersuchen oder Analysieren von Stoffen durch Bestimmen ihrer chemischen oder physikalischen Eigenschaften , INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES / B64C AEROPLANES , Flugzeuge / G01D MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE , Anzeigen oder Aufzeichnen in Verbindung mit Messen allgemein / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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