基于水下运动目标流场信息的仿生探测原理

Principle of Biomimetic Detection Based on Flow Field Information of Underwater Moving Object

鱼类侧线器官利用水介质的流动信息进行环境感知与探测,该原理为水下探测技术提供了新的发展方向。基于鱼类侧线的仿生探测原理,研究以运动目标绕流场为信息源的目标探测原理问题,建立了球头圆柱体绕流的仿真分析模型,结合势流理论分析和仿真规律分析,初步揭示了水中运动体目标特性与运动体绕流场特征参量之间的关联规律,即通过对曲线峰值、谷值、斜率的计算获得了与运动体速度、长度、半径、观测点信息相对应的特征参量,探索了利用水下运动体绕流场信息进行目标探测的可行性。

Fish lateral line explores water flow information on the purpose of environment perception and recognition. It inspires a new development direction to underwater detection technology. Based on the biomimetic detection principle of the lateral line, this study focuses on the detection principle of a moving object by taking the flow field around the object as information source. A round-head-cylinder simulation model is established to reveal the relation between the features of underwater moving object and the characteristic parameters of flow field by combining potential flow theory with simulation. Thus, the characteristic parameters corresponding to velocity, length, radius, and observing point information of a moving object are obtained through the calculation of peak value, valley value and slope of the relation curves. Moreover, the possibility to conduct biomimetic detection of an underwater moving object by making use of the flow field information around the object is discussed.