ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Fish schooling rules based on fish interaction behavior
Received date: 2023-10-30
Revised date: 2023-11-07
Accepted date: 2023-11-22
Online published: 2023-12-07
Supported by
Research and Demonstration of Radar Flow Measurement Technology for High Sand-Containing Channels in Irrigation Areas(2023AB060);National Natural Science Foundation of China(51979275);Research on Key Technologies for Integrated Management of Water System Connectivity in Inland River Basins in Northwest China(202305510910168);Joint Open Research Fund Program of State key Laboratory of Hydroscience and Engineering and Tsinghua-Ningxia Yinchuan Joint Institute of Internet of Waters on Digital Water Governance(sklhse2022-Iow08);Tarim University-China Agricultural University Joint Fund(ZNLH202205)
Group behaviors formed by organisms or objects due to cluster properties are common in nature. The study of group behavior helps human beings to deeply understand the natural world and provides theoretical guidance for intelligent cluster control. Individual interactions of fish schools can induce neighboring fish bodies to share information， thus improving the success rate of fish migration. In this study， fish upstream behavior experiments were carried out under the self-constructed ecological fish passage， and individual and school upstream experiments were carried out by setting semicircular obstacles to create a low-turbulence flow field. Based on the YOLOv5 algorithm， we captured the high-precision fish movement trajectories of the fish group under different flow conditions， and combined them with the results of numerical modeling to obtain hydraulic indicators. Track the passive swimming behavior of fish in the experimental area， and count the characteristic parameters of each interaction behavior. Combined with the hydraulic indicators at the location where the behaviors occurred， the response relationship between the movement strategy of the fish throughout the upstream journey and the perceived flow field was comprehensively derived. Through the analysis of fish interaction behaviors， flow field preference， and the influence of sidewalls， a two-dimensional cluster rule model of the fish population was established based on the principle of minimum potential energy. The results of this study are helpful in deconstructing the dynamic upstream process of fish in specific migratory scenarios. It will provide a system of quantitative indexes for the interactive movement of carp， which can be applied to specific behavioral scenarios such as the test of the swimming ability of fish， the deconstruction of upstreaming behaviors， and also provides inspiration for the design and control of future robotic swarming formations.
Key words： fish schooling; bionic algorithms; columns; fish migration; ecological fish passage
Yi ZHOU , Jian CHEN , Yu HAN , Yue ZHANG , Fengcong JIA . Fish schooling rules based on fish interaction behavior[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(S2) : 729793 -729793 . DOI: 10.7527/S1000-6893.2023.29793
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