Parameter design method and device for simulating lateral flow sensor

Abstract

The invention relates to a parameter design method and device of an imitated lateral flow sensor. The method comprises the following steps: constructing an imitated lateral flow sensor model; the simulated lateral flow sensor model comprises a substrate and a nerve hill cantilever beam; establishing a control equation of a unit length unit of a nerve hill cantilever beam under the action of structural force and fluid force according to the structure of the nerve hill cantilever beam in the simulated lateral line flow sensor model and a connection relation with the substrate; obtaining a deflection displacement expression of the single homogeneous beam at a specific height according to the control equation and the boundary condition of the nerve hill cantilever beam; the deflection displacement expression is used for representing a function relationship between the structural parameters of the neurohill cantilever beam and the deflection displacement; and solving an optimization target by taking the maximization of the deflection displacement of the position of the mechanical transconductance position of the nerve hill cantilever beam as the optimization target to obtain the optimal structure parameter under the target fluid medium. By adopting the method, high-precision measurement can be realized.

Description

Technical Field

[0001] The present application relates to the field of sensor technology, and in particular to a parameter design method and device for a simulated side-line flow sensor. Background Art

[0002] With the rapid development of marine vehicle technology, deploying underwater sensing systems on marine vehicles has become a critical requirement for navigation, obstacle avoidance, and other functions. Due to the significant differences between the aquatic and terrestrial environments, terrestrial sensors cannot be directly applied underwater, significantly limiting the development of underwater robotic sensing technology. Researchers are drawing inspiration from the unique sensory systems of marine organisms, particularly the lateral line system of fish, which demonstrates powerful electroreceptive and mechanoreceptive capabilities in sensing the aquatic environment.

[0003] Based on the structural characteristics of the fish lateral line system, scientists have conducted biomechanical studies on surface and canal neuromasts, analyzing the impact of morphological features on sensory sensitivity. Meanwhile, existing lateral line-mimicking sensor technologies have primarily focused on material selection and direct fabrication. These technologies, to some extent, draw on the principles of the lateral line system, providing a foundation for the development of underwater sensing technology.

[0004] However, the key issue in the current research on lateral line sensors, how to effectively suppress noise through rational design, thereby improving the signal-to-noise ratio and achieving high-precision sensing capabilities, has not been fully studied or effectively addressed. Traditional methods are unable to meet the urgent need for high-precision underwater sensing systems for ocean vehicles. Summary of the Invention

[0005] Based on this, it is necessary to provide a parameter design method and device for a side-line flow sensor to address the above technical problems.

[0006] A parameter design method for a side-line flow sensor, the method comprising:

[0007] A lateral line flow sensor model is constructed; the lateral line flow sensor model includes a base plate and a neuromast cantilever beam; the neuromast cantilever beam is vertically fixedly connected to the base plate on the base plate, and includes two beam sections with different bending stiffnesses and concentric elliptical cross sections;

[0008] According to the structure of the neuromast cantilever in the lateral line flow sensor model and its connection with the substrate, the governing equations of the neuromast cantilever per unit length under the action of structural force and fluid force were established.

[0009] A deflection displacement expression of a single homogeneous beam at a specific height is obtained based on the control equation and the boundary conditions of the neuromast cantilever beam; the deflection displacement expression is used to express the functional relationship between the structural parameters of the neuromast cantilever beam and the deflection displacement;

[0010] Taking maximizing the deflection displacement of the position where the mechanical transduction potential of the neuromast cantilever is located as the optimization goal, the optimization goal is solved to obtain the optimal structural parameters under the target fluid medium.

[0011] In one embodiment, the distal beam of the neuromast cantilever is made of an isotropic glial material, and the bending stiffness of the proximal beam of the neuromast cantilever is proportional to the number of hair cells inside the neuromast cantilever.

[0012] In one embodiment, the structural force includes elastic force and inertial force, and the fluid force includes viscous resistance and added mass force.

[0013] In one embodiment, the control equation is:

[0014] F e +F m =F u +F a +F b

[0015] Among them, F e is the elastic force, F m is the first inertia force, F u is the viscous resistance, F a is the second inertial force, F b For buoyancy.

[0016] In one embodiment, the boundary conditions of the neuromast cantilever beam include that the shear force or bending moment at the distal beam tip is 0, the coupling between the proximal beam and the distal beam satisfies the continuity condition, and the deflection displacement of the base position is 0.

[0017] In one embodiment, the deflection displacement expression is:

[0018]

[0019] Where v(z) is the deflection displacement of a single homogeneous beam at position z, i is the imaginary unit, and b w and b m is the coupling coefficient, U ∞ is the velocity of the flow at infinity, θ is the inclination angle of the beam, ω is the exciting angular velocity, δ is the boundary layer thickness, E is the elastic modulus of the beam, I is the section moment of inertia of the beam, C j is the integration constant, and z is the axial coordinate of a single homogeneous beam.

[0020] A parameter design device for a lateral flow sensor, comprising:

[0021] A model construction module is used to construct a lateral line flow sensor model; the lateral line flow sensor model includes a base plate and a neuromast cantilever beam; the neuromast cantilever beam is vertically fixedly connected to the base plate on the base plate, and includes two beam sections with different bending stiffness and concentric elliptical cross sections;

[0022] An equation building module is used to establish a control equation for a unit length unit of the neuromast cantilever under the action of structural force and fluid force based on the structure of the neuromast cantilever in the lateral line flow sensor model and the connection relationship with the substrate;

[0023] a deflection displacement expression module, configured to obtain a deflection displacement expression of a single homogeneous beam at a specific height based on the control equation and the boundary conditions of the neuromast cantilever beam; the deflection displacement expression is configured to represent a functional relationship between the structural parameters of the neuromast cantilever beam and the deflection displacement;

[0024] The parameter design module is used to solve the optimization target by maximizing the deflection displacement of the position where the mechanical transduction potential of the neuromast cantilever is located, and obtain the optimal structural parameters under the target fluid medium.

[0025] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0026] A lateral line flow sensor model is constructed; the lateral line flow sensor model includes a base plate and a neuromast cantilever beam; the neuromast cantilever beam is vertically fixedly connected to the base plate on the base plate, and includes two beam sections with different bending stiffnesses and concentric elliptical cross sections;

[0027] According to the structure of the neuromast cantilever in the lateral line flow sensor model and its connection with the substrate, the governing equations of the neuromast cantilever per unit length under the action of structural force and fluid force were established.

[0028] A deflection displacement expression of a single homogeneous beam at a specific height is obtained based on the control equation and the boundary conditions of the neuromast cantilever beam; the deflection displacement expression is used to express the functional relationship between the structural parameters of the neuromast cantilever beam and the deflection displacement;

[0029] Taking maximizing the deflection displacement of the position where the mechanical transduction potential of the neuromast cantilever is located as the optimization goal, the optimization goal is solved to obtain the optimal structural parameters under the target fluid medium.

[0030] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0031] A lateral line flow sensor model is constructed; the lateral line flow sensor model includes a base plate and a neuromast cantilever beam; the neuromast cantilever beam is vertically fixedly connected to the base plate on the base plate, and includes two beam sections with different bending stiffnesses and concentric elliptical cross sections;

[0032] According to the structure of the neuromast cantilever in the lateral line flow sensor model and its connection with the substrate, the governing equations of the neuromast cantilever per unit length under the action of structural force and fluid force were established.

[0033] A deflection displacement expression of a single homogeneous beam at a specific height is obtained based on the control equation and the boundary conditions of the neuromast cantilever beam; the deflection displacement expression is used to express the functional relationship between the structural parameters of the neuromast cantilever beam and the deflection displacement;

[0034] Taking maximizing the deflection displacement of the position where the mechanical transduction potential of the neuromast cantilever is located as the optimization goal, the optimization goal is solved to obtain the optimal structural parameters under the target fluid medium.

[0035] The parameter design method and device of the above-mentioned lateral flow sensor can effectively change the flow characteristics and suppress the noise generated by vortex-induced vibration through the elliptical cross-section design of the neuromast cantilever beam. It establishes the control equation of the unit length unit of the neuromast cantilever beam under the action of structural force and fluid force, and obtains the deflection displacement expression in combination with the boundary conditions. It accurately quantifies the functional relationship between the structural parameters and the deflection displacement, and takes maximizing the deflection displacement at the location of the mechanical transduction potential of the neuromast cantilever beam as the optimization goal. The optimal structural parameters obtained by solving can make the neuromast cantilever beam produce more significant displacement changes when sensing the change of fluid dynamics, and the electrical signal formed by mechanical transduction changes more obviously, greatly improving the perception sensitivity of signals such as flow velocity. The embodiment of the present invention can enable the lateral flow sensor designed with the optimal structural parameters to always maintain stable signal perception and conversion capabilities under different flow rates, flow directions and interference conditions, effectively suppress noise interference, and achieve high-precision measurement. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 Schematic diagram of a flow chart of a parameter design method for a side-line flow sensor according to an embodiment;

[0037] Figure 2 A schematic structural diagram of a side-line flow sensor model according to an embodiment;

[0038] Figure 3 A structural block diagram of a parameter design device for a side-line flow sensor according to an embodiment;

[0039] Figure 4 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0041] In one embodiment, Figure 1 As shown, a parameter design method for a side-line flow sensor is provided, comprising the following steps:

[0042] Step 102: construct a lateral line flow sensor model; the lateral line flow sensor model includes a base plate and a neuromast cantilever beam.

[0043] Based on the fluid-structure coupling effect of oscillating fluid and whiskers, a fluid-structure coupling model of a lateral flow sensor with an elliptical cross section is established, which provides precise theoretical guidance for the design of the sensor, saves experimental costs, and improves the accuracy of flow measurement. Figure 2 The lateral line flow sensor model shown in the figure has a simplified diagram of the lateral line sensor model on the left and a top view of the neuromast on the lateral line surface on the right. The neuromast cantilever beam is vertically fixed to the substrate substrate on the substrate, and includes two beam sections with different bending stiffness and concentric elliptical cross-sections.

[0044] Step 104 : establishing a control equation for a unit length of the neuromast cantilever under the action of structural force and fluid force according to the structure of the neuromast cantilever in the lateral line flow sensor model and the connection relationship with the base plate.

[0045] By establishing a mathematical model that can accurately describe the mechanical behavior of the neuromast cantilever beam under complex stress conditions, a theoretical basis is provided for the subsequent solution of its deflection displacement and other parameters.

[0046] Step 106 , obtaining an expression for the deflection displacement of a single homogeneous beam at a specific height based on the control equation and the boundary conditions of the neuromast cantilever beam.

[0047] Boundary conditions refer to the mechanical constraints on the neuromast cantilever beam at different locations (such as the substrate, the coupling point of the beam, and the tip of the beam). A single homogeneous beam refers to a beam that is considered to have uniform material properties during the simplified analysis of the neuromast cantilever beam. The deflection-displacement expression is obtained by solving the control equations and boundary conditions. The deflection-displacement expression is used to represent the functional relationship between the structural parameters of the neuromast cantilever beam and the deflection-displacement.

[0048] Step 108 , taking the deflection displacement at the location of the mechanical transduction potential of the neuromast cantilever beam being maximized as the optimization goal, solving the optimization goal, and obtaining the optimal structural parameters under the target fluid medium.

[0049] In the scenario of the lateral line flow sensor, when the neuromast cantilever is deflected by the fluid force and structural force, mechanical transduction occurs, converting the mechanical signal into an electrical signal. The mechanical transduction potential is a physical quantity used to measure the change of this electrical signal. The mechanical transduction potential of the neuromast is h c The ratio of the deflection to the flow velocity is defined as the sensitivity of the neuromast cantilever. This normalized value is independent of the intensity and is:

[0050]

[0051] The sensitivity consists of real and imaginary parts, reflecting the degree and time information of the neuromast cantilever relative to the flow velocity, respectively. The amplitude of the response is the absolute value of the sensitivity, and the phase is a parameter related to viscosity.

[0052] The goal is to maximize the deflection displacement of the neuromast cantilever at the location of the mechanical transduction potential, that is, to seek a combination of structural parameters that makes the sensor most sensitive to fluid dynamics and has the best signal conversion effect, which can guide the design of high-precision sensors that imitate lateral line flow sensors in the future.

[0053] In the parameter design method of the above-mentioned lateral flow sensor, the elliptical cross-section design of the neuromast cantilever can effectively change the flow characteristics, suppress the noise generated by vortex-induced vibration, establish the control equation of the unit length unit of the neuromast cantilever under the action of structural force and fluid force, and obtain the deflection displacement expression in combination with the boundary conditions, accurately quantify the functional relationship between the structural parameters and the deflection displacement, and take the deflection displacement at the location of the mechanical transduction potential of the neuromast cantilever as the optimization goal. The optimal structural parameters obtained by solving can make the neuromast cantilever produce more significant displacement changes when sensing the fluid dynamics change, and the electrical signal formed by mechanical transduction changes more obviously, greatly improving the perception sensitivity of signals such as flow velocity. The embodiment of the present invention can enable the lateral flow sensor designed with the optimal structural parameters to always maintain stable signal perception and conversion capabilities under different flow rates, flow directions and interference conditions, effectively suppress noise interference, and achieve high-precision measurement.

[0054] In one embodiment, the distal beam of the neuromast cantilever is made of isotropic glial material, and the bending stiffness of the proximal beam of the neuromast cantilever is proportional to the number of hair cells inside the neuromast cantilever. In this embodiment, the neuromast cantilever is modeled as two concentric elliptical cross-section cylinders with different bending stiffnesses, with the semi-major axis of the cylinder section being a, the semi-minor axis being b, and the moment of inertia being I = πab 3 / 4. The distal end of the neuromast cantilever is divided into isotropic glial material with a bending stiffness of (EI) dist =E gel I distThe bending stiffness of the proximal part of the neuromast cantilever is proportional to the number of hair cells inside, so it is (EI) prox =E gel I dist +N(EI) k , where the subscripts dist, gel, prox, and k represent the proximal part of the neuromast cantilever, the proximal pure glial matrix of the neuromast cantilever, the distal part of the neuromast cantilever, and the number of hair cells, respectively, and N is the number of hair cells.

[0055] In one embodiment, the structural force includes elastic force and inertial force, and the fluid force includes viscous resistance and added mass force.

[0056] In one embodiment, the governing equation is:

[0057] F e +F m =F u +F a +F b

[0058] Among them, F e is the elastic force, F m is the first inertia force, F u is the viscous resistance, F a is the second inertial force, F b For buoyancy.

[0059] In this embodiment, taking water as an example, the structural mechanics and fluid dynamics analysis of the simulated lateral flow sensor is performed:

[0060] The two coupled beams are assumed to be Euler Bernoulli beams, which means that the assumptions of linear elastic theory are met. The force generated by this structure depends on its own bending stiffness and mass. This results in two mechanical forces acting on the beam element: elastic force and first inertial force. Considering the height z from the body surface as a variable, the elastic force is obtained as:

[0061] F e (z)=EIv″″(z)dz (1)

[0062] Among them F e is the elastic force. As the excitation frequency increases, the mass of the structure becomes increasingly important for its dynamic response. Therefore, it is necessary to consider the inertial force caused by the mass of the beam unit, which is,

[0063] F m (z)=-πρ m abω 2 v(z)dz (2)

[0064] Where ω is the excitation angular velocity, satisfying ω=2πf, f is the excitation frequency, v(z) is the deflection displacement perpendicular to the beam axis, ρ m is the density of neuromasts.

[0065] Consider the external excitation as an oscillating pressure field. The model base is located on a flat plate and is perpendicular to the plate. The boundary layer velocity equation of the plate satisfies:

[0066]

[0067] Among them, U0 is the maximum velocity of the oscillatory flow generated by the perturbation, δ is the boundary layer thickness, and it satisfies ρ w and μ are the density and dynamic viscosity of fresh water, respectively. In an oscillating flow field, the fluid forces acting on the cylindrical element include three types: viscous drag acting on the structure, inertial force generated by the relative acceleration of the flow field and the cylindrical element, and additional mass force generated by the pressure field around the cylinder. The viscous drag of the inclined cylinder is:

[0068] F u (z)=4πμk(U(z)-iωv(z))dz (4)

[0069] Where v(z) is the deflection of the neuromast, k is the viscous drag coefficient, and k = -L / (L 2 +(π / 4) 2 ). When k<<1, L satisfies Where γ≈0.5772 is the Euler constant. The relative acceleration of the neuromast and the flow field produces a second inertial force F a ,satisfy:

[0070]

[0071] The last force is the buoyancy generated by the pressure field surrounding the neuromast, which satisfies:

[0072] F b (z)=iρ w πabωU(z)dz (6)

[0073] These equations satisfy certain assumptions: the pendulum in the fluid is assumed to be a rigid cylinder with a circular cross-section, and it is assumed to be linearly elastic under the action of an elastic base. These hydrodynamic forces focus only on the two-dimensional flow field in the cross section of the cylinder, thus ignoring forces that may arise from pressure or shear gradients along the height.

[0074] Therefore, the neuromast unit length element satisfies the following governing equations under the action of structural force and hydrodynamic force:

[0075] F e +F m =Fu +F a +F b (7)

[0076] In one embodiment, the boundary conditions of the neuromast cantilever beam include that the shear force or bending moment at the distal beam tip is 0, the continuity condition is satisfied at the coupling between the proximal beam and the distal beam, and the deflection displacement of the base position is 0.

[0077] In this example, to predict the deflection of the coupled beams, it is necessary to define the beam boundary conditions. Since the boundary conditions are determined along the z-direction, at the distal beam tip, the shear force and bending moment can be assumed to be zero due to the lack of height and area to generate fluid forces. Continuity conditions are satisfied at the coupling point between the proximal and distal beams, resulting in identical deflection displacements, rotation angles, bending moments, and shear forces. At the base, the position is assumed to be fixed, with zero deflection. A torsional spring is applied to resist neuromast rotation and balance the hair cell torsional stiffness.

[0078] In one embodiment, the deflection displacement expression is:

[0079]

[0080] Where v(z) is the deflection displacement of a single homogeneous beam at position z, i is the imaginary unit, and b w and b m is the coupling coefficient, U ∞ is the velocity of the flow at infinity, θ is the inclination angle of the beam, ω is the exciting angular velocity, δ is the boundary layer thickness, E is the elastic modulus of the beam, I is the section moment of inertia of the beam, C j is the integration constant, and z is the axial coordinate of a single homogeneous beam.

[0081] In this embodiment, by combining equations (1-2) and (4-6), the following relationship can be obtained:

[0082] EIv″″(z)=iωb m v(z)-b w U(z) (8)

[0083] in,

[0084]

[0085] Thus, the deflection displacement expression of a single homogeneous beam is obtained, in which C j are four integral constants, which can be obtained from the boundary conditions. This theoretical solution approximately describes the deflection of the sensor model under the influence of an oscillating flow field. Note that these integral constants are functions of the angular frequency. Substituting these integral constants into the expression yields the deflection displacement of the neuromast at a specific height.

[0086] Based on the deflection displacement expression, we can derive the oscillation expression of the flow sensor model in air and water. This expression is a function of the lateral flow sensor's major and minor axis lengths, elastic modulus, and density. By analyzing the impact of these parameters on its deflection, we can determine the parameters for the sensor model to achieve the maximum deflection displacement (the optimal solution). This can guide the design of high-precision sensors for future lateral flow sensors.

[0087] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. In addition, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0088] In one embodiment, Figure 3 As shown, a parameter design device for a lateral flow sensor is provided, comprising:

[0089] A model construction module 302 is configured to construct a lateral line flow sensor model; the lateral line flow sensor model includes a base plate and a neuromast cantilever beam; the neuromast cantilever beam is vertically fixedly connected to the base plate on the base plate, and includes two beam sections with different bending stiffnesses and concentric elliptical cross sections;

[0090] An equation building module 304 is used to establish a control equation for a unit length of the neuromast cantilever beam under the action of structural force and fluid force based on the structure of the neuromast cantilever beam in the lateral line flow sensor model and the connection relationship with the substrate;

[0091] a deflection displacement representation module 306 for obtaining a deflection displacement expression of a single homogeneous beam at a specific height based on the control equation and the boundary conditions of the neuromast cantilever beam; the deflection displacement expression is used to represent a functional relationship between the structural parameters of the neuromast cantilever beam and the deflection displacement;

[0092] The parameter design module 308 is used to solve the optimization target by maximizing the deflection displacement of the position where the mechanical transduction potential of the neuromast cantilever is located, and obtain the optimal structural parameters under the target fluid medium.

[0093] In one embodiment, the distal beam of the neuromast cantilever is made of an isotropic glial material, and the bending stiffness of the proximal beam of the neuromast cantilever is proportional to the number of hair cells inside the neuromast cantilever.

[0094] In one embodiment, the structural force includes elastic force and inertial force, and the fluid force includes viscous resistance and added mass force.

[0095] In one embodiment, the control equation is:

[0096] F e +F m =F u +F a +F b

[0097] Among them, F e is the elastic force, F m is the first inertia force, F u is the viscous resistance, F a is the second inertial force, F b For buoyancy.

[0098] In one embodiment, the boundary conditions of the neuromast cantilever beam include that the shear force or bending moment at the distal beam tip is 0, the coupling between the proximal beam and the distal beam satisfies the continuity condition, and the deflection displacement of the base position is 0.

[0099] In one embodiment, the deflection displacement expression is:

[0100]

[0101] Where v(z) is the deflection displacement of a single homogeneous beam at position z, i is the imaginary unit, and b w and b m is the coupling coefficient, U ∞ is the velocity of the flow at infinity, θ is the inclination angle of the beam, ω is the exciting angular velocity, δ is the boundary layer thickness, E is the elastic modulus of the beam, I is the section moment of inertia of the beam, C j is the integration constant, and z is the axial coordinate of a single homogeneous beam.

[0102] The specific definition of the parameter design device for the lateral flow sensor can be found in the definition of the parameter design method for the lateral flow sensor above, and will not be repeated here. The various modules in the parameter design device for the lateral flow sensor can be implemented in whole or in part through software, hardware, or a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of the above modules.

[0103] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 4 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a parameter design method for a simulated side-line flow sensor is implemented. The display screen of the computer device can be a liquid crystal display or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0104] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0105] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps of the method in the above embodiment when executing the computer program.

[0106] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method in the above embodiment are implemented.

[0107] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0108] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0109] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and such modifications and improvements are intended to fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A parameter design method for a lateral flow sensor, characterized in that: The method comprises: A lateral line flow sensor model is constructed; the lateral line flow sensor model includes a base plate and a neuromast cantilever beam; the neuromast cantilever beam is vertically fixedly connected to the base plate on the base plate, and includes two beam sections with different bending stiffnesses and concentric elliptical cross sections; According to the structure of the neuromast cantilever in the lateral line flow sensor model and its connection with the substrate, the governing equations of the neuromast cantilever per unit length under the action of structural force and fluid force were established. A deflection displacement expression of a single homogeneous beam at a specific height is obtained based on the control equation and the boundary conditions of the neuromast cantilever beam; the deflection displacement expression is used to express the functional relationship between the structural parameters of the neuromast cantilever beam and the deflection displacement; Taking maximizing the deflection displacement of the position where the mechanical transduction potential of the neuromast cantilever is located as the optimization goal, the optimization goal is solved to obtain the optimal structural parameters under the target fluid medium.

2. The method according to claim 1, characterized in that The distal beam of the neuromast cantilever beam is made of isotropic colloid material, and the bending stiffness of the proximal beam of the neuromast cantilever beam is proportional to the number of hair cells inside the neuromast cantilever beam.

3. The method according to claim 1, characterized in that The structural force includes elastic force and inertial force, and the fluid force includes viscous resistance and additional mass force.

4. The method according to claim 1, wherein The control equation is: F e +F m =F u +F a +F b Among them, F e is the elastic force, F m is the first inertia force, F u is the viscous resistance, F a is the second inertial force, F b For buoyancy.

5. The method according to claim 1, characterized in that The boundary conditions of the neuromast cantilever beam include that the shear force or bending moment at the distal beam tip is 0, the coupling between the proximal beam and the distal beam satisfies the continuity condition, and the deflection displacement of the base position is 0.

6. The method according to claim 1, characterized in that The deflection displacement expression is: Where v(z) is the deflection displacement of a single homogeneous beam at position z, i is the imaginary unit, and b w and b m is the coupling coefficient, U ∞ is the velocity of the flow at infinity, θ is the inclination angle of the beam, ω is the exciting angular velocity, δ is the boundary layer thickness, E is the elastic modulus of the beam, I is the section moment of inertia of the beam, C j is the integration constant, and z is the axial coordinate of a single homogeneous beam.

7. A parameter design device for a lateral flow sensor, characterized in that: The device comprises: A model construction module is used to construct a lateral line flow sensor model; the lateral line flow sensor model includes a base plate and a neuromast cantilever beam; the neuromast cantilever beam is vertically fixedly connected to the base plate on the base plate, and includes two beam sections with different bending stiffness and concentric elliptical cross sections; An equation building module is used to establish a control equation for a unit length unit of the neuromast cantilever under the action of structural force and fluid force based on the structure of the neuromast cantilever in the lateral line flow sensor model and the connection relationship with the substrate; a deflection displacement expression module, configured to obtain a deflection displacement expression of a single homogeneous beam at a specific height based on the control equation and the boundary conditions of the neuromast cantilever beam; the deflection displacement expression is configured to represent a functional relationship between the structural parameters of the neuromast cantilever beam and the deflection displacement; The parameter design module is used to solve the optimization target by maximizing the deflection displacement of the position where the mechanical transduction potential of the neuromast cantilever is located, and obtain the optimal structural parameters under the target fluid medium.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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