9 results about "Lateral line" patented technology

The utility model relates to the technical field of soft bait fishing tackles, and discloses a turbulent flow type fish tail soft bait fishing tackle which comprises a bait body, the bait body is of a fish-shaped structure, the bait body comprises a fish head, a fish body and a fish tail, a turbulent flow piece is fixed to the fish tail, and the whole turbulent flow piece is of a sheet-shaped structure. The spoiler is additionally arranged at the tail of the bait, so that the tail of the bait vibrates leftwards and rightwards in water, the posture of simulating fish swimming is more vivid and vivid, when the bait is dragged in water, the spoiler can generate strong vibration and turbulent flow, the attention of the fish can be attracted within a certain distance, and even if the fish is out of the visual range, the fish can be prevented from being scratched by the spoiler. And the vibrations can be sensed through the side lines, so that the vibrations are attracted, and the fish luring effect is greatly improved.

This invention provides a biomimetic lateral line communication system based on propeller wake field perception, belonging to the field of underwater communication technology. Based on the lateral line perception mechanism of fish, it utilizes the flow field disturbance signal generated by the interaction between the propeller and the flow field as the communication signal to achieve network communication for underwater robots. The flow field disturbance of the main propeller is converted into a carrier signal to increase the transmission distance and intensity, while the disturbance of the modulation propeller is converted into a modulation signal for information transmission. A neural network model and a nonlinear filtering model are used to achieve signal modulation and demodulation, exhibiting good environmental adaptability and improving the working efficiency and accuracy of the detection system. The beneficial effects of this invention are: the signal source used for biomimetic navigation perception is the flow field medium fluctuation signal, which can provide a novel approach and practical detection sensing means for underwater covert detection and guidance tracking technology.

The invention discloses a triboelectric three-dimensional flow field sensor inspired by lateral epidermal neuromasts. The triboelectric three-dimensional flow field sensor comprises a cylindrical shell, a signal analysis unit, a trigger unit and a plurality of friction sensing units, the friction sensing unit is arranged in the hollow cavity along different spatial orientations and comprises an elastic reset part and a friction part, and two ends of the elastic reset part are respectively connected with the inner wall of the cylindrical shell and the friction part. One end of the trigger unit is movably connected with the cylindrical shell and applies force to the friction sensing unit after being disturbed and displaced by a flow field, so that the friction material layer is contacted and separated to generate an electric signal, and the signal analysis unit receives and analyzes the electric signal. The three-dimensional flow field can be sensed in all directions, and the limitation of two-dimensional sensing is broken through; direct conversion of mechanical energy-electric signals is achieved by means of the friction nanometer power generation effect, the environment adaptability is high, highly turbulent wake flow and flow field changes can be sensitively responded, multi-dimensional flow field data are provided for underwater environment monitoring, robot motion control and the like, and accurate sensing of underwater complex three-dimensional flow fields is assisted.

The invention provides a deep learning-based multi-modal phenotype determination method for economic traits of lateolabrax japonicus, and relates to the technical field of high-throughput phenotype determination of economic traits of lateolabrax japonicus. According to the deep learning-based multi-modal phenotype determination method, multi-angle video streams are synchronously acquired by utilizing a sensor array, a temporary visual identifier is allocated to each tail lateolabrax japonicus, and then, a visual identifier is allocated to each tail lateolabrax japonicus; when a preset underwater measurement condition is met, a video clip in a time window is called, the divergence value of a multi-view motion vector field is calculated, a group of optimal key frames are selected from the clip in combination with the body principal axis direction and the lateral line contour definition, multi-view feature fusion and deformation compensation based on the divergence value are performed on the optimal key frame group, and the multi-view motion vector field is obtained. The method comprises the following steps: extracting static three-dimensional phenotypic characteristics, calculating dynamic behavior characteristics from a motion track, collecting the two types of characteristics according to identifiers to form underwater multi-modal phenotypic vectors, inputting the multi-modal phenotypic vector set of a group into a pre-trained economic character prediction model, and outputting individual predictive character indexes and group statistical results in batches.

This invention relates to the field of intelligent aquaculture, and more particularly to a feeding control method based on deep learning of the spatiotemporal features of fish feeding behavior. The feeding control method based on deep learning of the spatiotemporal features of fish feeding behavior includes the following steps: S1: Continuously acquiring video frame sequences of the water surface in the feeding area; preprocessing the video frame sequences to extract spatiotemporal features, obtaining information on the fragmentation of the splash area and the turbulence intensity gradient; S2: Calculating instantaneous turbulence flow scheduling based on the fragmentation information and the turbulence intensity gradient information, wherein the instantaneous turbulence flow scheduling reflects the degree of interference caused by the current splash turbulence on the lateral line perception of the fish. This invention constructs a comprehensive index of dual vulnerability states—instantaneous turbulence flow scheduling and physiological perception—from the fragmentation of splashes and the turbulence intensity gradient in the water surface video, and combines this with fluctuation characteristics to achieve advanced early warning and phased adaptive feeding control for fish feeding collapse.

The application discloses a triboelectric three-dimensional flow field sensor inspired by lateral line cuticular sensory organ, which comprises a cylindrical shell, a signal analysis unit, a trigger unit and a plurality of triboelectric sensing units; the triboelectric sensing units are arranged in different spatial directions in a hollow cavity and comprise elastic reset parts and friction parts, and the two ends of the elastic reset parts are connected with the inner wall of the cylindrical shell and the friction parts, respectively; one end of the trigger unit is movably connected with the cylindrical shell, and the trigger unit applies force to the triboelectric sensing units after being disturbed by the flow field, so that the friction material layer is separated to generate an electric signal, and the signal analysis unit receives and analyzes the electric signal; the application can perceive the three-dimensional flow field in all directions and break through the limitation of two-dimensional perception; the mechanical energy-electric signal direct conversion is realized by relying on the triboelectric nanogenerator effect, the environmental adaptability is high, the high turbulence wake flow and the flow field change can be responded sensitively, multi-dimensional flow field data are provided for underwater environment monitoring, robot motion control and the like, and the application helps to accurately perceive the underwater complex three-dimensional flow field.

The present application relates to the field of pressure signal model, specifically relates to a kind of underwater vehicle attitude inversion method of fusion artificial lateral line and gyroscope, including 1 constructs underwater vehicle physical model and space coordinate system, determines motion parameter and flow field environmental parameter;2 based on the lateral line perception principle of fish, constructs artificial lateral line array;3 according to attitude motion characteristics, constructs underwater vehicle attitude representation method;4 according to the characteristics of fluid mechanics, constructs underwater vehicle kinematic pressure signal model;5 design experimental prototype, carry out pool experiment to generate data set, pre-process signal;6 constructs residual objective function, carries out attitude inversion to underwater vehicle;7 the relative root mean square error is used to evaluate inversion accuracy, completes the reliability verification of the above attitude inversion method.The present application constructs the kinematic pressure signal model of underwater vehicle based on quaternion model by fusion artificial lateral line and gyroscope, improves underwater vehicle attitude inversion precision and stability.

The invention discloses a triboelectric multi-target wake flow sensor based on a fish lateral line structure, which comprises a flexible shell formed by a shell component, and the shell component is oppositely provided with a plurality of groups of sensing unit groove structures to form a sealing structure with a plurality of hollow cavities; the sensing unit is arranged in the hollow cavity; the sensing unit is used for converting the flow field acting force into a corresponding periodic friction sensing electric signal; a spinous process array is arranged at the bottom of each sensing unit groove structure; the spinous process array comprises a plurality of hemispherical spinous process structures of the same structure, and the top ends of the hemispherical spinous process structures symmetrically arranged in the hollow cavity abut against the two end faces of the sensing unit respectively. The problems that a traditional underwater sensor depends on external energy supply, so that the system is complex, the maintenance cost is high, energy is easily exhausted in long-time monitoring, meanwhile, the resolution ratio and the environmental adaptability are limited in complex underwater scenes, and the external structure is large and is difficult to fix underwater are solved.

The invention belongs to the field of aquatic product breeding technology and application, and particularly relates to a method for judging procypris merus based on living body detection. The invention discloses a method for in-vivo distinguishing of procypris merus and procypris merus. The research finds that compared with the procypris merus, the ratio of the scale area to the thickness of the procypris merus has significant difference, so that the procypris merus can be quickly and accurately identified. According to the method, whether the procypris merus is the cartilage procypris merus or not can be preliminarily judged by taking the lateral line upper scales of the procypris merus and carrying out measurement and simple calculation, the procypris merus does not need to be dissected, damage to the procypris merus is small, expensive instruments are not needed, and the method is more convenient, faster and higher in practical value.