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

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.