Energy focusing device and parameter determination method, apparatus and terminal device thereof

Abstract

The embodiment of the application is suitable for the field of transformation optics, and provides an energy converging device, a parameter determination method and device of the energy converging device, a terminal device and a storage medium. The method comprises the following steps: determining a first structure parameter corresponding to a preset compression coefficient based on the compression coefficient; solving a preset nonlinear refractive index equation set according to a preset refractive index condition and the first structure parameter, and generating at least one candidate parameter set; taking a second candidate parameter with the minimum value in all candidate parameter sets as a third structure parameter of the energy converging device, and taking a first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the minimum value as a second structure parameter. The energy converging device manufactured according to the determined structure parameter can be directly used in air, so that the energy converging device has a wider use scenario.

Description

TECHNICAL FIELD

[0001] The embodiment of the present application belongs to the technical field of transformation optics, and particularly relates to an energy converging device, a parameter determination method and device of the energy converging device, a terminal device and a storage medium. BACKGROUND

[0002] With the research and development of transformation optics, a large number of metamaterial electromagnetic devices with broad application prospects and novel functions emerge, such as electromagnetic wave converging devices, invisibility cloaks, concentrators, curved waveguides and illusion devices. Among them, the converging device based on transformation optics is a high-efficiency electromagnetic wave or sound wave energy collection and trapping technology designed by using the principle of transformation optics. Such a converging device can optimize the concentration effect of electromagnetic waves or sound waves, thereby efficiently converging electromagnetic wave energy or sound wave energy. However, the converging devices designed based on the prior art all need a medium such as water or stainless steel material as a backboard material in the use process, and cannot be used directly in air, so the use scene is small, and there is a certain great limitation. SUMMARY

[0003] Therefore, the embodiment of the present application provides an energy converging device, a parameter determination method and device of the energy converging device, a terminal device and a storage medium, so as to provide an energy converging device that can be used in air medium, thereby expanding the use scene of the energy converging device.

[0004] The first aspect of the embodiment of the present application provides an energy converging device, comprising:

[0005] a converging device, which is in a cylindrical shape;

[0006] a first compressor, which is arranged around the converging device, and the inner side wall of the first compressor is attached to the outer side wall of the converging device;

[0007] a second compressor, which is arranged around the first compressor, and the inner side wall of the second compressor is attached to the outer side wall of the first compressor, and a part of the outer side wall of the second compressor away from the center of the converging device is covered with a reflective layer;

[0008] wherein the first structural parameter of the converging device is determined according to the compression coefficient of the energy converging device, and the second structural parameter of the first compressor and the third structural parameter of the second compressor are determined according to a preset nonlinear refractive index equation set.

[0009] In a possible implementation manner of the first aspect, the part of the second compressor covered with the reflective layer accounts for one half of the surface area of the outer side wall of the second compressor away from the center of the converging device.

[0010] In the first aspect of the embodiment of the present application, since the second structure parameter of the first compressor and the third structure parameter of the second compressor in the energy converging device are determined according to the preset nonlinear refractive index equation set, the radial refractive index inside the first compressor and the second compressor in the energy converging device is always greater than 1, so it is not necessary to adjust the radial refractive index inside the first compressor and the second compressor through the backboard material, so that the energy converging device provided by the embodiment of the present application can be used in the air; further, since the second compressor of the energy converging device is coated with a reflective layer on the part of the side away from the center of the converging device, when the energy converging device converges the sound wave or the electromagnetic wave, it can not only converge through the first compressor and the second compressor, but also converge through the reflective layer, so as to achieve the effect of double convergence, thereby increasing the convergence efficiency of the energy converging device.

[0011] The second aspect of the embodiment of the present application provides a parameter determination method of an energy converging device, including:

[0012] The energy converging device includes a converging device, a first compressor and a second compressor, and the parameter determination method includes:

[0013] Based on the preset compression coefficient, a first structure parameter corresponding to the compression coefficient is determined; the first structure parameter is a value from the center of the converging device to the outer side wall of the converging device in the energy converging device;

[0014] According to the preset refractive index condition and the first structure parameter, a preset nonlinear refractive index equation set is solved to generate at least one candidate parameter set; each candidate parameter set includes a first candidate parameter and a plurality of second candidate parameters corresponding to the first candidate parameter; the first candidate parameter is a candidate parameter corresponding to the first compressor in the energy converging device; the second candidate parameter is a candidate parameter corresponding to the second compressor in the energy converging device;

[0015] The second candidate parameter with the smallest value in all the candidate parameter sets is taken as a third structure parameter of the energy converging device, and the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value is taken as a second structure parameter; the second structure parameter is a value from the center of the converging device to the outer side wall of the first compressor; and the third structure parameter is a value from the center of the converging device to the outer side wall of the second compressor.

[0016] In a possible implementation manner of the second aspect, the nonlinear refractive index equation set includes a radial progressive refractive index formula, an angular progressive refractive index formula and a progressive refractive index distribution formula;

[0017] Before the solving, according to the preset refractive index condition and the first structure parameter, a preset nonlinear refractive index equation set is solved to generate at least one candidate parameter set, comprising:

[0018] Based on the nonlinear refractive index compression equation set and the linear coordinate transformation equation set, a nonlinear coordinate transformation equation set is determined;

[0019] Based on the nonlinear coordinate transformation equation set and the angular refractive index formula, the angular progressive refractive index formula is generated;

[0020] Based on the nonlinear coordinate transformation equation set and the radial refractive index formula, the radial progressive refractive index formula is generated;

[0021] Based on the nonlinear coordinate transformation equation set and the refractive index distribution formula, the progressive refractive index distribution formula is generated.

[0022] In a possible implementation manner of the second aspect, the solving, according to the preset refractive index condition and the first structure parameter, a preset nonlinear refractive index equation set is solved to generate at least one candidate parameter set, comprising:

[0023] The first structure parameter is input into the progressive refractive index distribution formula to generate a first refractive index distribution equation set;

[0024] The progressive refractive index distribution formula is as follows:

[0025]

[0026] Wherein, the r1 is used to represent the first structure parameter; the r3 is used to represent the second structure parameter; the R is used to represent the third structure parameter; the rr1 is used to represent a first nonlinear compression formula in the refractive index nonlinear compression equation set; the rr2 is used to represent a second nonlinear compression formula in the refractive index nonlinear compression equation set; the n bb (r′) is used to represent a refractive index corresponding to a radial distance r′ from the center of the condenser;

[0027] Based on the first refractive index distribution equation set, refractive index minimum values corresponding to the first condenser and the second condenser are determined;

[0028] The first structure parameter is input into the radial refractive index distribution formula to generate a second refractive index distribution equation set;

[0029] The radial progressive refractive index formula is as follows:

[0030]

[0031] The nrr′ (r') for representing a radial refractive index corresponding to a radial distance value of r' from the center of the concentrator;

[0032] solving the first refractive index distribution equation set based on the minimum value of the refractive index, taking the value of the second structure parameter as a first initial value of the first candidate parameter and the value of the third structure parameter as a second initial value of the second candidate parameter when the first refractive index distribution equation set satisfies the minimum value of the refractive index;

[0033] determining a first final value corresponding to the first initial value based on a preset first span value and determining a second final value corresponding to the second initial value based on a preset second span value;

[0034] inputting the first initial value, the first final value, the second initial value, the second final value, the first structure parameter and the nonlinear refractive index equation set into a preset loop algorithm to generate the candidate parameter set.

[0035] In a possible implementation manner of the second aspect, the inputting the first initial value, the first final value, the second initial value, the second final value, the first structure parameter and the nonlinear refractive index equation set into a preset loop algorithm to generate the candidate parameter set, comprises:

[0036] determining a total number of loop rounds based on a preset first increment and the first final value;

[0037] in the kth loop round, determining a first candidate value of a kth candidate parameter set corresponding to the kth loop round based on the k, the first increment and the first initial value, and obtaining at least one second candidate value of the kth candidate parameter set corresponding to the kth loop round based on a preset second increment, the second initial value and the second final value; an initial value of the k is 0;

[0038] inputting the first structure parameter and the first candidate value into the progressive refractive index distribution formula to generate a third refractive index distribution equation set;

[0039] inputting the first structure parameter and the first candidate value into the radial progressive refractive index formula to generate a fourth refractive index distribution equation set;

[0040] inputting the first structure parameter, the first candidate value and the second candidate value into the angular progressive refractive index formula to generate a fifth refractive index distribution equation set;

[0041] the angular progressive refractive index formula in the nonlinear refractive index equation set is as follows:

[0042]

[0043] The n θθ′ (r') is used to represent the angular refractive index corresponding to the radial distance value r' from the center of the concentrator;

[0044] determine whether the third refractive index distribution equation set, the fourth refractive index distribution equation set and the fifth refractive index distribution equation set satisfy a refractive index condition;

[0045] The refractive index condition is as follows:

[0046] n rr′ (r') * n bb (r') ≥ 1

[0047] When the third refractive index distribution equation set, the fourth refractive index distribution equation set and the fifth refractive index distribution equation set satisfy the refractive index condition, the first candidate value and the second candidate value are taken as the second candidate parameter and the first candidate parameter in the k candidate parameter set;

[0048] If the k is less than the total number of the cycle rounds, the value of the k is increased, and the step of determining, in the kth cycle round, the first candidate value of the kth candidate parameter set corresponding to the kth cycle round based on the k, the first increment and the initial value, obtaining at least one second candidate value of the kth candidate parameter set corresponding to the kth cycle round based on a preset second increment, the second initial value and the second final value, and subsequent steps are executed until the k is equal to or greater than the total number of the cycle rounds.

[0049] In a possible implementation of the second aspect, after the second candidate parameter with the smallest value in all the candidate parameter sets is taken as the third structural parameter of the energy concentration device, and the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value is taken as the second structural parameter, the method further includes:

[0050] The first structural parameter and the second structural parameter are input into a preset material matrix to determine a first material type corresponding to the first compressor;

[0051] The first structural parameter is input into a preset material matrix to determine a second material type corresponding to the concentrator.

[0052] The third aspect of the embodiments of the present application provides a parameter determination device of an energy concentration device, which includes:

[0053] The first parameter determination module is configured to determine a first structure parameter corresponding to the compression coefficient based on the preset compression coefficient, wherein the first structure parameter is a value from the center of the concentrator to an outer sidewall of the concentrator in the energy concentrator device.

[0054] The operation module is configured to solve a preset nonlinear refractive index equation set based on a preset refractive index condition and the first structure parameter to generate at least one candidate parameter set, wherein each candidate parameter set includes a first candidate parameter and a plurality of second candidate parameters corresponding to the first candidate parameter, the first candidate parameter is a candidate parameter corresponding to the first compressor in the energy concentrator device, and the second candidate parameter is a candidate parameter corresponding to the second compressor in the energy concentrator device.

[0055] The second parameter determination module is configured to take a second candidate parameter with the smallest value in all the candidate parameter sets as a third structure parameter of the energy concentrator device, and take a first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value as a second structure parameter, wherein the second structure parameter is a value from the center of the concentrator to an outer sidewall of the first compressor, and the third structure parameter is a value from the center of the concentrator to an outer sidewall of the second compressor.

[0056] The fourth aspect of the embodiment of the present application provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the parameter determination method of the energy concentrator device according to the first aspect.

[0057] The fifth aspect of the embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executable on a processor to implement the parameter determination method of the energy concentrator device according to the first aspect.

[0058] The sixth aspect of the embodiment of the present application provides a computer program product, which, when running on a computer, enables the computer to execute the parameter determination method of the energy concentrator device according to the first aspect.

[0059] Compared with the prior art, the embodiment of the present application has the following advantages:

[0060] In a second aspect of the embodiment of the present application, since the terminal device can solve the nonlinear refractive index equation set according to the refractive index condition and the first structure parameter pre-set by the researcher when determining the parameters of the energy converging device, at least one candidate parameter set is generated; then, the terminal device can take the second candidate parameter with the minimum value in all candidate parameter sets as the third structure parameter of the energy converging device, and take the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the minimum value as the second structure parameter. Since the second structure parameter and the third structure parameter of the energy converging device are obtained by solving the nonlinear refractive index equation set according to the refractive index condition by the terminal device, the structure parameters determined by the terminal device can ensure that the condition of the radial refractive index being greater than 1 is always met inside the energy converging device, so that the energy converging device does not need to further adjust the refractive index inside the energy converging device by the backboard material when in use. The energy converging device made according to the structure parameters determined in the embodiment can be directly used in air, thereby having a wider use scenario. BRIEF DESCRIPTION OF DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0062] Figure 1 is a conversion schematic diagram of an energy converging device provided by an embodiment of the present application;

[0063] Figure 2 is a schematic diagram of an energy converging device provided by an embodiment of the present application;

[0064] Figure 3 is a schematic diagram of a parameter determination method of an energy converging device provided by an embodiment of the present application;

[0065] Figure 4 is a schematic diagram of another parameter determination method of an energy converging device provided by an embodiment of the present application;

[0066] Figure 5 is a schematic diagram of a certain cycle round provided by an embodiment of the present application;

[0067] Figure 6 is a schematic diagram of the relationship between the compression coefficient n and the convergence efficiency η provided by an embodiment of the present application;

[0068] Figure 7 is a radial refractive index distribution diagram of an energy converging device provided by an embodiment of the present application under different compression coefficients.

[0069] Figure 8 is a schematic diagram of a parameter determination device of an energy concentrator device provided by an embodiment of the present application;

[0070] Figure 9 is a schematic diagram of a terminal device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0071] In the following description, specific details are set forth, such as particular system configurations, techniques, etc., in order to provide a thorough understanding of the present application. However, persons skilled in the art will understand that the present application can be practiced without these specific details. In other instances, well-known structures, devices, circuits, and methods have not been described in detail in order to avoid obscuring the present application.

[0072] A concentrator device based on transformation optics is a high-efficiency electromagnetic wave or acoustic wave energy collection and capture technology designed by using the principle of transformation optics. The core idea of transformation optics is to fill the material with special parameter distribution in the physical space to simulate or realize the electromagnetic field distribution effect in the virtual space, based on the covariance of Maxwell equations under any coordinate transformation. The virtual space can be a theoretical and ideal electromagnetic space, which can be of any shape, size and material, and is used to describe the electromagnetic space designed by the researchers. See Figure 1 FIG. 1 shows a conversion schematic diagram of an energy concentrator device provided by an embodiment of the present application. In the figure, Figure 1 The dashed line part in FIG. 1 can be used to represent the size of the concentrator in the actual space when it is mapped in the virtual space, and r2 can be used to represent the radius of the concentrator after being mapped in the virtual space. As shown in Figure 1 When designing the energy concentrator device, the researchers can map the virtual space or a part of the virtual space to the physical space of the actual application by using the transformation function, so as to realize the corresponding function of the virtual space in the actual physical space. That is, in the energy concentrator device shown in Figure 1 When designing, the researchers need to compress the r2 area in the virtual space to the r1 area, so as to realize the corresponding function of the virtual space in the actual physical space. In the prior art, Rahm et al. first proposed a cylindrical electromagnetic concentrator based on transformation optics. The linear coordinate transformation equation used in the scheme proposed by Rahm et al. is as follows:

[0073]

[0074] φ' = φ 0 ≤ φ ≤ π

[0075] z' = z -∞ ≤ z ≤ ∞

[0076] Wherein, (r', φ', z') can be used to represent the value in the virtual space. Specifically, r' can be used to represent the radial distance from the center of the energy concentrator on the energy concentrator device in the virtual space. φ' can be used to represent the angle value between two points on any circular plane on the energy concentrator device in the virtual space. z' can be used to represent the height of the energy concentrator device in the virtual space. (r, φ, z) can be used to represent the value in the actual space. Specifically, r can be used to represent the radial distance from the center of the energy concentrator on the energy concentrator device in the actual space. φ can be used to represent the angle value between two points on any circular plane on the energy concentrator device in the actual space. z can be used to represent the height of the energy concentrator device in the actual space. r1 can be used to represent the first structural parameter of the energy concentrator device. r2 can be used to represent the virtual space parameter corresponding to the first structural parameter. r3 can be used to represent the second structural parameter of the energy concentrator device.

[0077] When the developer compresses the r2 area in the virtual space to the r1 area, because the overall size of the energy concentrator device is fixed, the annular area between r2 and r3 is expanding to the annular area between r1 and r3. As can be seen from the above formula, in the prior art, when the developer designs the energy concentrator device, the linear coordinate transformation equation group used is a linear function, that is, the expansion process of the annular area between r2 and r3 is linear, which will cause the radial refractive index of the annular area between r1 and r3 after expansion to be a constant less than 1. In a wide frequency range, this requirement cannot be realized in reality. Therefore, in order to adjust the radial refractive index inside the first compressor of the energy concentrator device, the concentrator device designed by the prior art needs to use water or stainless steel material as the backboard material during use, and cannot be used directly in air.

[0078] The technical solutions of the present application will be described below through specific embodiments.

[0079] Referring to Figure 2 , a schematic diagram of an energy concentrator device provided by an embodiment of the present application is shown. The energy concentrator can be a cylindrical device, therefore, Figure 1 is a top view of the energy concentrator device. As Figure 2 indicated, the energy concentrator device can mainly consist of two parts, a concentration area and a transition area. The concentration area can include a concentrator 1. The transition area can include a first compressor 2, a second compressor 3 and a reflection layer 4. Specifically, the concentrator 1 in the energy concentrator device can be in a cylindrical shape. The first structural parameter r1 of the concentrator 1 in the energy concentrator device can be determined according to the compression coefficient required by the energy concentrator device.

[0080] The first compressor 2 and the second compressor 3 can be annular structural members. The first compressor 2 can be arranged around the converging device 1, and an inner side wall of the first compressor 2 can be attached to an outer side wall of the converging device 1. A second structural parameter r3 of the first compressor 2 in the energy converging device can be determined according to a compression coefficient and a preset nonlinear refractive index equation. The second compressor 3 can be arranged around the first compressor 2, and an inner side wall of the second compressor 3 can be attached to an outer side wall of the first compressor 2. Further, a part of an outer side wall of the second compressor 3 away from the center of the converging device 1 can be covered with a reflective layer. The reflective layer 4 can be formed by applying a reflective material to the outer side wall of the second compressor 3.

[0081] In a possible implementation, half of the outer side wall of the second compressor 3 is covered with the reflective layer, that is, an area of the outer side wall of the second compressor 3 covered with the reflective layer 4 can account for one half of a surface area of the outer side wall of the second compressor 3.

[0082] In a possible implementation, the reflective layer 4 can be a cylindrical surface covering the outer side wall of the second compressor 3, a directrix of the cylindrical surface being an arc concentric with the converging device 1, and an arc of the arc being π.

[0083] In a possible implementation, the reflective layer 4 can cover the outer side wall of the second compressor 3 in a direction of emission of electromagnetic waves or sound waves. For example, when electromagnetic waves or sound waves enter from a left side of the energy converging device and exit from a right side of the energy converging device, the reflective layer 4 can cover the outer side wall of the second compressor 3 on the right side. The energy of the converging device 1 is reflected to be compressed again, achieving a double converging effect and improving the converging efficiency.

[0084] In a possible implementation, the reflective layer coated on the second compressor 3 can be a high-conductivity metal, a superconducting material, a special structural material, or a composite material. The high-conductivity metal can be silver, copper, gold, or the like, the superconducting material can be copper oxide, iron-based superconducting material, or the like, the special structural material can be graphene, or the like, and the composite material can be gold-plated material, silver-plated material, or the like. Any one of the above materials can simulate a perfect electrical conductor (PEC) material.

[0085] Referring to Figure 3 , a schematic diagram of a parameter determination method of an energy converging device is shown, which can be used to determine structural parameters of the energy converging device shown in Figure 2 . The parameter determination method of the energy converging device can specifically include the following steps:

[0086] S301. Based on the preset compression coefficient, determine the first structural parameter corresponding to the compression coefficient.

[0087] In this embodiment, the terminal device can determine the first structural parameter corresponding to the compression coefficient based on the compression coefficient input by the R&D personnel, that is... Figure 2 In the context of r1, the first structural parameter can represent the value from the center of the concentrator to the outer edge of the concentrator in the energy concentrating device; that is, the first structural parameter can represent the radius of the concentrator in the energy concentrating device. Specifically, the compression coefficient input by the researchers can represent the ratio of the wavelength of electromagnetic waves or sound waves before and after compression inside the energy concentrating device. For example, if the researchers need the energy concentrating device to compress the wavelength of electromagnetic waves or sound waves to 1 / a of the original wavelength, then 'a' can be the compression coefficient.

[0088] In one possible implementation, the terminal device can store a first parameter conversion table pre-defined by the developers. This table can store multiple different compression coefficients and their corresponding first structural parameters. After the developers input a compression coefficient, the terminal device can query the first structural parameter corresponding to that coefficient from the first parameter conversion table. For example, when the compression coefficient is 2, the first structural parameter corresponding to the aggregator can be 1.

[0089] S302. Based on the preset refractive index conditions and the first structural parameters, solve the preset nonlinear refractive index equations to generate at least one candidate parameter set.

[0090] In this embodiment, after determining the first structural parameter corresponding to the compression coefficient, the terminal device can also solve the nonlinear refractive index equations based on the refractive index conditions and the first structural parameter preset by the researchers, generating at least one candidate parameter set. Each candidate parameter set includes a first candidate parameter and multiple second candidate parameters corresponding to the first candidate parameter. Specifically, the first candidate parameter in the candidate parameter set can be a candidate parameter corresponding to the first compressor in the energy concentrating device. The second candidate parameters in the candidate parameter set can be candidate parameters corresponding to the second compressor in the energy concentrating device.

[0091] In one possible implementation, after determining the first structural parameter corresponding to the compression coefficient, the terminal device can also query a pre-set second parameter conversion table based on the first structural parameter and the compression coefficient to determine the value of the first structural parameter mapped in the virtual space. That is, the virtual space parameter corresponding to the first structural parameter is determined based on the second parameter conversion table. Figure 1 r2 in the middle.

[0092] In a possible implementation, each candidate parameter set generated by the terminal device solving the nonlinear refractive index equation set can further include a third candidate parameter corresponding to each second candidate parameter. The third candidate parameter can be a candidate parameter corresponding to an expansion coefficient of the energy converging device.

[0093] In a possible implementation, before generating at least one candidate parameter set by solving the preset nonlinear refractive index equation set, the terminal device can first determine the nonlinear refractive index equation set. The nonlinear refractive index equation set can be composed of an angularly progressive refractive index formula, a radially progressive refractive index formula, and a progressive refractive index distribution formula. Specifically, the terminal device can determine a nonlinear coordinate transformation equation set according to a refractive index nonlinear compression equation set and a linear coordinate transformation equation set input by a developer. Specifically, the refractive index nonlinear compression equation set can include a first nonlinear compression formula and a second nonlinear compression formula. The terminal device can replace r1 in the linear coordinate transformation equation set with the first nonlinear compression formula in the refractive index nonlinear compression equation set, and replace r2 in the linear coordinate transformation equation set with the second nonlinear compression formula in the refractive index nonlinear compression equation set, to generate the nonlinear refractive index equation set. For specific formulas of the linear coordinate transformation equation set, please refer to related content in this application, which will not be described here.

[0094] Specifically, the first nonlinear compression formula can be as follows.

[0095]

[0096] Wherein, n can be used to represent a compression coefficient. r1 can be used to represent a first structure parameter corresponding to the compression coefficient. r2 can be used to represent a virtual space parameter corresponding to the first structure parameter.

[0097] Specifically, the second nonlinear compression formula can be as follows.

[0098]

[0099] Wherein, r3 can be used to represent a second structure parameter. m can be used to represent an expansion coefficient.

[0100] Specifically, the nonlinear coordinate transformation equation set can be as follows.

[0101]

[0102] φ′=φ 0≤φ≤π

[0103] z′=z -∞≤z≤∞

[0104] Then, the terminal device can generate a progressive refractive index distribution formula according to the nonlinear coordinate transformation equation set and the refractive index distribution formula.

[0105] The progressive refractive index distribution formula can be as follows.

[0106]

[0107] Wherein, r1 can be used to represent the first structure parameter. r3 can be used to represent the second structure parameter. R can be used to represent the third structure parameter. rr1 can be used to represent the first nonlinear compression formula in the refractive index nonlinear compression equation set. rr2 can be used to represent the second nonlinear compression formula in the refractive index nonlinear compression equation set. bb (r') can be used to represent the refractive index corresponding to the radial distance r' from the center of the condenser.

[0108] After determining the nonlinear coordinate transformation equation set, the terminal device can generate an angular progressive refractive index formula according to the angular refractive index formula based on the nonlinear coordinate transformation equation set.

[0109] Specifically, the angular refractive index formula can be as follows.

[0110]

[0111] The angular progressive refractive index formula can be as follows.

[0112]

[0113] Wherein, n θθ (r') can be used to represent the angular refractive index corresponding to the radial distance value r' from the center of the condenser.

[0114] The terminal device can also generate a radial progressive refractive index formula according to the nonlinear coordinate transformation equation set and the radial refractive index formula.

[0115] Specifically, the radial refractive index formula can be as follows.

[0116]

[0117] The radial progressive refractive index formula can be as follows.

[0118]

[0119] Wherein, n rr′ (r') can be used to represent the radial refractive index corresponding to the radial distance value r' from the center of the condenser.

[0120] S303, taking the second candidate parameter with the minimum value in all candidate parameter sets as the third structural parameter of the energy converging device, and taking the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the minimum value as the second structural parameter.

[0121] In this embodiment, after the terminal device generates the candidate parameter set by solving the nonlinear refractive index equation set according to the refractive index condition and the first structural parameter, the terminal device can select the second candidate parameter with the minimum value from all the candidate parameter sets to be the third structural parameter of the energy converging device, that is, R in the formula. Figure 2 The terminal device can also take the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the minimum value as the second structural parameter, that is, r3 in the formula. Figure 2 The terminal device can also take the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the minimum value as the second structural parameter, that is, r3 in the formula.

[0122] By the method provided in this embodiment, since the second structural parameter and the third structural parameter of the energy converging device are obtained by the terminal device solving the nonlinear refractive index equation set according to the refractive index condition, the structural parameters determined by the terminal device can ensure that the condition of the radial refractive index being greater than 1 is always met inside the energy converging device, so that the energy converging device does not need to further adjust the refractive index inside the energy converging device through the backboard material when in use. The energy converging device made according to the structural parameters determined in this embodiment can be directly used in air, thereby having a wider use scenario.

[0123] In a possible implementation, after determining the second structural parameter and the third structural parameter, the terminal device can also input the first structural parameter and the second structural parameter into the material matrix preset by the research and development personnel, determine the first material type corresponding to the first compressor, and input the first structural parameter into the material matrix to determine the second material type corresponding to the converging device. Specifically, the first material type can include the dielectric constant and the relative magnetic permeability corresponding to the first compressor. The second material type can include the dielectric constant and the relative magnetic permeability corresponding to the converging device.

[0124] Specifically, the material matrix can be as follows.

[0125]

[0126] wherein, may represent the dielectric constant. may represent the relative magnetic permeability. η r′ The formula of R can be as follows.

[0127]

[0128] Figure 4A specific implementation flowchart of the parameter determination method S302 of the energy converging device provided in the third embodiment of the present application is shown. Referring to Figure 4 , compared with Figure 3 the embodiments, the parameter determination method of the energy converging device provided in the embodiment includes S3021-S3025, which are specifically described as follows:

[0129] S3021, input the first structure parameter into the gradual refractive index distribution formula to generate a first refractive index distribution equation set.

[0130] In the embodiment, after the terminal device determines the first structure parameter and the nonlinear refractive index equation set, the terminal device can input the first structure parameter and the virtual space parameter corresponding to the first structure parameter into the gradual refractive index distribution formula to generate a first refractive index distribution equation set. The specific form of the gradual refractive index distribution formula is described in the first embodiment of the present application, which is not repeated here.

[0131] S3022, determine the minimum refractive index corresponding to the first compressor and the second compressor based on the first refractive index distribution equation set.

[0132] In the embodiment, after the terminal device determines the first refractive index distribution equation set, the terminal device can determine the minimum refractive index corresponding to the transition region formed by the first compressor and the second compressor based on the first refractive index distribution equation set. Specifically, since the independent variable r' in the gradual refractive index distribution formula has a value range of r1 to r3 in the transition region formed by the first compressor and the second compressor. Therefore, the terminal device can determine the maximum refractive index in the transition region according to the first refractive index distribution equation set, and determine the minimum refractive index in the transition region according to the preset extreme value conversion function.

[0133] For example, when the compression coefficient n is 2, the first structure parameter r1 of the energy converging device can be 1, and the virtual space parameter r2 corresponding to the first structure parameter can be 2. After the terminal device inputs r1 as 1 and r2 as 2 into the gradual refractive index distribution formula to generate a first refractive index distribution equation set, the independent variable r' in the first refractive index distribution equation set has a value range of r1 to r3 in the transition region. Therefore, after the terminal device solves the maximum value of the first refractive index distribution equation set, it can be determined that the maximum refractive index of the transition region in the energy converging device is 1.38. According to the converging device extreme value conversion function, the terminal device can determine that the minimum refractive index of the current transition region is 1 / 1.38=0.73.

[0134] S3023, input the first structure parameter into the radial refractive index distribution formula to generate a second refractive index distribution equation set.

[0135] In this embodiment, after determining the minimum value of the refractive index of the transition region in the energy converging device, the terminal device can input the first structure parameter and the virtual space parameter corresponding to the first structure parameter into the radial refractive index distribution formula to generate a second refractive index distribution equation set.

[0136] S3024, based on the minimum value of the refractive index, the first refractive index distribution equation set is solved, and when the first refractive index distribution equation set satisfies the minimum value of the refractive index, the value of the second structure parameter is taken as the first initial value of the first candidate parameter, and the value of the third structure parameter is taken as the second initial value of the second candidate parameter.

[0137] In this embodiment, after generating the second refractive index distribution equation set, the terminal device can solve the first refractive index distribution equation set according to the minimum value of the refractive index, and when the first refractive index distribution equation set satisfies the minimum value of the refractive index, the value of the second structure parameter is taken as the first initial value of the first candidate parameter, the value of the third structure parameter is taken as the second initial value of the second candidate parameter, and the value of the expansion coefficient is taken as the third initial value of the third candidate parameter.

[0138] In a possible implementation, for example, when the compression coefficient n is 2, the first structure parameter r1 of the energy converging device is 1, and the virtual space parameter r2 corresponding to the first structure parameter is 2, the minimum value of the refractive index of the transition region is 0.73. When the first refractive index distribution equation set satisfies the minimum value of the refractive index, the value of the second structure parameter r3 is 5.5, and the expansion coefficient m is 1.4. Therefore, the terminal device can take 5.5 as the first initial value of the first candidate parameter, and take 1.4 as the third initial value of the third candidate parameter. In theory, during the expansion of the annular region between r2 and r3, that is, during the expansion of the first compressor, when the first compressor expands to the limit, the first compressor can occupy the entire transition region of the energy converging device, at this time, the energy converging device can not contain the second compressor. Therefore, the second initial value of the second candidate parameter can also be 5.5.

[0139] S3025, determining a first final value corresponding to the first initial value based on a preset first span value, and determining a second final value corresponding to the second initial value based on a preset second span value.

[0140] In this embodiment, after determining the first initial value, the terminal device can determine the first final value corresponding to the first initial value according to the first span value pre-set by the R&D personnel, so as to determine the value range of the first candidate parameter when generating the candidate parameter set. Similarly, after determining the second initial value, the terminal device can determine the second final value corresponding to the second initial value according to the second span value pre-set by the R&D personnel, so as to determine the value range of the second candidate parameter when generating the candidate parameter set. After determining the third initial value, the terminal device can determine the value range of the third candidate parameter when generating the candidate parameter set according to the third final value pre-set by the R&D personnel.

[0141] For example, when the first initial value of the first candidate parameter is 5.5, the second initial value of the second candidate parameter is 5.5, and the third initial value of the third candidate parameter is 1.4, if the first span value pre-set by the R&D personnel is 0.5, the second span value is 3, and the third final value is r2=2, the terminal device can determine that the first final value is 6, the second final value is 8.5, and the third final value is 2. The terminal device can determine that the value range of the first candidate parameter is [5.5, 6] when generating the candidate parameter set, the value range of the second candidate parameter is [5.5, 8.5], and the value range of the third candidate parameter is [1.4, 2].

[0142] In S3026, the first initial value, the first final value, the second initial value, the second final value, the first structure parameter, and the nonlinear refractive index equation set are input into a preset loop algorithm to generate a candidate parameter set.

[0143] In this embodiment, after determining the first initial value, the first final value, the second initial value, the second final value, the third initial value, and the third final value, the terminal device can input the first initial value, the first final value, the second initial value, the second final value, the third initial value, the third final value, the first structure parameter, and the nonlinear refractive index equation set into the loop algorithm pre-set by the R&D personnel to generate at least one candidate parameter set.

[0144] In a possible implementation, the specific method of generating the candidate parameter set by the terminal device through the loop algorithm can be as follows. First, the terminal device can determine the total number of loop rounds based on the first increment and the first final value pre-set by the R&D personnel. The first increment can be used to represent the increment of the first candidate value in each loop round. Specifically, the first increment can be set by the R&D personnel according to the calculation accuracy. For example, when the first increment is 0.1 and the value range of the first candidate parameter is [5.5, 6], the terminal device can determine that the total number of current loop rounds is 5, and at the same time, the first candidate value in the k+1 loop round can be 0.1 more than the first candidate value in the k loop round. The initial value of k can be 0.

[0145] In the kth cycle round, the terminal device can determine the first candidate value of the kth candidate parameter set corresponding to the current kth cycle round based on k, the first increment and the first initial value. Then, in the kth cycle round, the terminal device can obtain at least one second candidate value of the kth candidate parameter set corresponding to the kth cycle round according to the second increment, the second initial value and the second final value preset by the researcher. The terminal device can also obtain at least one third candidate value of the kth candidate parameter set corresponding to the kth cycle round according to the third increment, the third initial value and the third final value preset by the researcher.

[0146] In the kth cycle round, the terminal device can input the first structure parameter, the first candidate value corresponding to the kth cycle round and each third candidate value in the kth cycle round into the progressive refractive index distribution formula to generate a third refractive index distribution equation set. Further, the terminal device can input the first structure parameter, the first candidate value corresponding to the kth cycle round and each third candidate value in the kth cycle round into the radial progressive refractive index formula to generate a fourth refractive index distribution equation set. Then, the terminal device can input the first structure parameter, the first candidate value in the kth cycle round, each second candidate value in the kth cycle round and each third candidate value in the kth cycle round into the angular progressive refractive index formula to generate at least one fifth refractive index distribution equation set. The specific forms of the progressive refractive index distribution formula, the radial progressive refractive index formula and the angular progressive refractive index formula can be referred to the related content in the first method embodiment of the present application, which will not be described here. Finally, the terminal device can take the first candidate value, the second candidate value and the third candidate value when the third refractive index distribution equation set, the fourth refractive index distribution equation set and the fifth refractive index distribution equation set satisfy the refractive index condition as the second candidate parameter value, the first candidate parameter and the third candidate parameter value in the kth candidate parameter set.

[0147] The refractive index condition can be as follows:

[0148] n rr′ (r′)*n bb (r′)≥1

[0149] After the kth cycle round is executed, the terminal device can determine whether the current k is less than the total number of cycle rounds. If the terminal device determines that k is less than the total number of cycle rounds, the terminal device can add one to k and return to execute the above steps of determining the first candidate value of the kth candidate parameter set corresponding to the kth cycle round based on k, the first increment and the initial value, obtaining at least one second candidate value of the kth candidate parameter set corresponding to the kth cycle round based on the preset second increment, the second initial value and the second final value, and subsequent steps thereof until k is equal to or greater than the total number of cycle rounds.

[0150] Referring to Figure 5 , a schematic diagram of one cycle round provided by an embodiment of the present application is shown. As shown in Figure 5 , in the kth cycle round, the first structure parameter r1 of the energy sink device is 1, the virtual space parameter r2 is 2, the first initial value of the first candidate parameter is 5.5, and the first increment is 0.1. Therefore, the first candidate value in the current cycle round is 5.5+0.1*k. When starting to perform the kth cycle round, the terminal device can first take the second initial value as the current second candidate value and take the third initial value as the current third candidate value.

[0151] Then, the terminal device can determine whether the current second candidate value is within the value range of the second candidate parameter. If the terminal device determines that the current second candidate value is not within the value range of the second candidate parameter, the terminal device can end the current cycle round. If the terminal device determines that the current second candidate value is within the value range of the second candidate parameter, the terminal device can further determine whether the current third candidate value is within the value range of the third candidate parameter.

[0152] If the terminal device determines that the current third candidate value is not within the value range of the third candidate parameter, the terminal device can perform the operation of increasing the second increment on the current second candidate value according to the second increment preset by the researcher, and return to perform the operation of determining whether the current second candidate value is within the value range of the second candidate parameter and the subsequent operations. If the terminal device determines that the current third candidate value is within the value range of the third candidate parameter, the terminal device can input the current first candidate value, second candidate value, third candidate value, first structure parameter and virtual space parameter into the progressive refractive index distribution formula, radial progressive refractive index formula and angular progressive refractive index formula respectively to generate the third refractive index distribution equation set, fourth refractive index distribution equation set and fifth refractive index distribution equation set.

[0153] Then, the terminal device can determine whether the current third refractive index distribution equation set, the fourth refractive index distribution equation set and the fifth refractive index distribution equation set satisfy the refractive index condition. If the current third refractive index distribution equation set, the fourth refractive index distribution equation set and the fifth refractive index distribution equation set do not satisfy the refractive index condition, the terminal device can perform an operation of increasing the current third candidate value by the third increment set by the R&D personnel in advance, and return to perform the operation of determining whether the current third candidate value is within the value range of the third candidate parameter and the subsequent operations. If the current third refractive index distribution equation set, the fourth refractive index distribution equation set and the fifth refractive index distribution equation set satisfy the refractive index condition, the terminal device can take the current first candidate value as the first candidate parameter, the second candidate parameter and the third candidate parameter in the kth candidate parameter set. Then, the terminal device can perform an operation of increasing the current third candidate value by the third increment set by the R&D personnel in advance, and return to perform the operation of determining whether the current third candidate value is within the value range of the third candidate parameter and the subsequent operations.

[0154] In the scheme, in order to prove the effectiveness of the scheme, the R&D personnel took the structure parameters determined when the compression coefficient was 2 as an example to do a verification experiment. The specific verification experiment content is described as follows.

[0155] In the verification experiment, the researchers took the ratio of the energy density of the convergence area (i.e. the area formed by the first compressor and the second compressor) to the entire device as a reference, and calculated the relationship between the compression coefficient n of the ideal concentrator and the convergence efficiency η. Referring to Figure 6 , a schematic diagram of the relationship between the compression coefficient n and the convergence efficiency η provided by the embodiment of the present application is shown. As Figure 6 indicates, Figure 6 , the ordinate in Figure 6 may represent the convergence efficiency, the abscissa may represent the compression coefficient, the solid circle point may represent the convergence efficiency and the compression coefficient corresponding to the theoretical value, and the square may represent the convergence efficiency and the compression coefficient corresponding to the actual value. As can be seen, Figure 6 , as the compression coefficient n = r2 / r1 gradually increases, the convergence efficiency η also rapidly rises. When the compression coefficient n = 5, the virtual space parameter r2 = 5 within the region is compressed to r1 = 1 within the region, at this time, the compression efficiency n is close to 80%. When the compression coefficient n = 5.8, the compression efficiency η is 100%. As can be seen, in the present scheme, by changing the third structure parameter R and the expansion coefficient m, the actual convergence efficiency and the compression coefficient corresponding to the actual value shown by the square in Figure 6 may be realized, wherein the highest value of the actual convergence efficiency is close to 50%, at this time, the actual compression coefficient n is equivalent to 3.3 under the ideal condition.

[0156] See Table 1 below, which shows a table of structural parameters corresponding to different compression coefficients n provided in the embodiments of this application.

[0157] m [r1] [r2] [r3] R n 1.42 1 2 5.8 7.2 2 1.91 1 3 10.7 12.9 3 2.35 1 4 15.8 18.61 4

[0158] As shown in Table 1, when the compression coefficient n = 2, the expansion coefficient m = 1.42 calculated by the method provided in this embodiment, the first structural parameter r1 = 1, the virtual space parameter r2 corresponding to the first structural parameter r2 = 2, the second structural parameter r3 = 5.8, and the third structural parameter R = 7.2. At this time, after inputting the above structural parameters into the preset simulation algorithm for simulation, the convergence efficiency η = 48% can be obtained. Figure 6 The equivalent result is a compression coefficient of n = 3.3 under ideal conditions. Therefore, it can be seen that the method provided in this embodiment can achieve a good compression effect.

[0159] See Figure 7 Table 1 shows the radial refractive index distribution of an energy concentrating device provided in this application under different compressibility coefficients. According to Table 1, as the compressibility coefficient n increases, the required size R of the energy concentrating device also increases. Therefore, Figure 7 In this context, A can be the energy concentrating device corresponding to the structural parameters determined according to the embodiments of this application when the compression coefficient n = 2. Therefore, Figure 7 In this context, B can be the energy concentrating device corresponding to the structural parameters determined according to the embodiments of this application when the compression coefficient n = 3. Therefore, Figure 7 In this context, C can represent the energy concentrating device corresponding to the structural parameters determined according to the embodiments of this application when the compression coefficient n = 4. Further, Figure 7 The rightmost gradient axis can represent different radial refractive indices; therefore, it can be seen that... Figure 7 The radial refractive index distribution under the three conditions shows that the structural parameters determined by the method provided in this embodiment all meet the initial requirement of a radial refractive index greater than 1 when the compressibility coefficient n = 2, 3, and 4. Therefore, the method provided in this embodiment can be implemented in practical applications. It should be noted that, for ease of comparison of devices of different sizes, [the following is unclear and likely incomplete] Figure 7 The three energy focusing devices in the middle have been scaled down proportionally. Specifically, Figure 7 The scaling factor of A in the figure is 1. Figure 7 The scaling factor of B in the figure is 2. Figure 7 The scaling factor for C in the figure is 3, and this scaling does not affect the final result.

[0160] It should be noted that the size of the serial number of each step in the above embodiments does not mean the order of execution, the execution order of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0161] Referring to Figure 8 , a schematic diagram of a parameter determination device of an energy converging device is shown, which can specifically include a first parameter determination module 801, an operation module 802, and a second parameter determination module 803, wherein:

[0162] The first parameter determination module 801 is configured to determine a first structure parameter corresponding to a preset compression coefficient based on the preset compression coefficient; the first structure parameter is a value from the converging center of the energy converging device to the outer side wall of the converging device;

[0163] The operation module 802 is configured to solve a preset nonlinear refractive index equation set according to a preset refractive index condition and the first structure parameter, and generate at least one candidate parameter set; each candidate parameter set includes a first candidate parameter and a plurality of second candidate parameters corresponding to the first candidate parameter; the first candidate parameter is a candidate parameter corresponding to the first compressor in the energy converging device; the second candidate parameter is a candidate parameter corresponding to the second compressor in the energy converging device;

[0164] The second parameter determination module 803 is configured to take the second candidate parameter with the smallest value in all the candidate parameter sets as a third structure parameter of the energy converging device, and take the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value as a second structure parameter; the second structure parameter is a value from the converging center to the outer side wall of the first compressor; the third structure parameter is a value from the converging center to the outer side wall of the second compressor.

[0165] The operation module can also be configured to determine a nonlinear coordinate transformation equation set based on a nonlinear refractive index compression equation set and a linear coordinate transformation equation set, generate the angular progressive refractive index formula based on the nonlinear coordinate transformation equation set and an angular refractive index formula, generate the radial progressive refractive index formula based on the nonlinear coordinate transformation equation set and a radial refractive index formula, and generate the progressive refractive index distribution formula based on the nonlinear coordinate transformation equation set and a refractive index distribution formula.

[0166] The operation module can also be configured to input the first structure parameter into the progressive refractive index distribution formula to generate a first refractive index distribution equation set.

[0167] The progressive refractive index distribution formula is as follows:

[0168]

[0169] wherein, the r1 is used for representing the first structure parameter; the r3 is used for representing the second structure parameter; the R is used for representing the third structure parameter; the rr1 is used for representing a first nonlinear compression formula in the refractive index nonlinear compression equation group; the rr2 is used for representing a second nonlinear compression formula in the refractive index nonlinear compression equation group; the n bb (r′) is used for representing a radial refractive index corresponding to a radial distance of r′ from the center of the condenser;

[0170] determining a minimum refractive index corresponding to the first compressor and the second compressor based on the first refractive index distribution equation group; inputting the first structure parameter into the radial refractive index distribution formula to generate a second refractive index distribution equation group;

[0171] The radial progressive refractive index formula is as follows:

[0172]

[0173] The n rr′ (r′) is used for representing a radial refractive index corresponding to a radial distance value of r′ from the center of the condenser;

[0174] solving the first refractive index distribution equation group based on the minimum refractive index, taking a value of the second structure parameter as a first initial value of the first candidate parameter and a value of the third structure parameter as a second initial value of the second candidate parameter when the first refractive index distribution equation group satisfies the minimum refractive index; determining a first final value corresponding to the first initial value based on a preset first span value and determining a second final value corresponding to the second initial value based on a preset second span value; inputting the first initial value, the first final value, the second initial value, the second final value, the first structure parameter and the nonlinear refractive index equation group into a preset loop algorithm to generate the candidate parameter set.

[0175] The operation module can also be used to determine the total number of cycle rounds based on a preset first increment and the first final value; in the kth cycle round, based on the k, the first increment and the first initial value, determine the first candidate value of the kth candidate parameter set corresponding to the kth cycle round, and based on a preset second increment, the second initial value and the second final value, obtain at least one second candidate value of the kth candidate parameter set corresponding to the kth cycle round; the initial value of the k is 0; input the first structure parameter and the first candidate value into the gradual refractive index distribution formula to generate a third refractive index distribution equation group; input the first structure parameter and the first candidate value into the radial gradual refractive index formula to generate a fourth refractive index distribution equation group; input the first structure parameter, the first candidate value and the second candidate value into the angular gradual refractive index formula to generate a fifth refractive index distribution equation group;

[0176] The angular gradual refractive index formula in the nonlinear refractive index equation group is as follows:

[0177]

[0178] The n θθ′ (r') is used to represent the angular refractive index corresponding to the radial distance value r' from the center of the condenser;

[0179] Determine whether the third refractive index distribution equation group, the fourth refractive index distribution equation group and the fifth refractive index distribution equation group satisfy a refractive index condition;

[0180] The refractive index condition is as follows:

[0181] n rr′ (r') * n bb (r') ≥ 1

[0182] The first candidate value and the second candidate value when the third refractive index distribution equation group, the fourth refractive index distribution equation group and the fifth refractive index distribution equation group satisfy the refractive index condition are taken as the second candidate parameter and the first candidate parameter in the kth candidate parameter set; if the k is less than the total number of cycle rounds, increase the value of the k, and return to execute the step of determining the first candidate value of the kth candidate parameter set corresponding to the kth cycle round based on the k, the first increment and the initial value, obtaining at least one second candidate value of the kth candidate parameter set corresponding to the kth cycle round based on a preset second increment, the second initial value and the second final value, and subsequent steps thereof until the k is equal to or greater than the total number of cycle rounds.

[0183] The second parameter determination module can also be configured to input the first structure parameter and the second structure parameter into a preset material matrix to determine a first material type corresponding to the first compressor; and input the first structure parameter into the preset material matrix to determine a second material type corresponding to the concentrator.

[0184] For the device embodiments, since they are basically similar to the method embodiments, they are described more simply, and the relevant parts refer to the descriptions in the method embodiment part.

[0185] Referring to Figure 9 , a schematic diagram of a terminal device provided by an embodiment of the present application is shown. As shown in Figure 9 , the terminal device 900 in the embodiment of the present application includes a processor 910, a memory 920, and a computer program 921 stored in the memory 920 and executable on the processor 910. The processor 910 implements the steps in each of the embodiments of the parameter determination method of the energy concentration device when executing the computer program 921, such as the steps S301-S303 shown in Figure 3 . Alternatively, the processor 910 implements the functions of each module / unit in each of the device embodiments when executing the computer program 921, such as the functions of the modules 801-803 shown in Figure 8 .

[0186] For example, the computer program 921 can be divided into one or more modules / units, which are stored in the memory 920 and executed by the processor 910 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which can be used to describe the execution process of the computer program 921 in the terminal device 900. For example, the computer program 921 can be divided into a first parameter determination module, an operation module, and a second parameter determination module, and the specific functions of each module are as follows:

[0187] The first parameter determination module is configured to determine a first structure parameter corresponding to a preset compression coefficient based on the compression coefficient; the first structure parameter is a value from the center of the concentrator in the energy concentration device to the outer wall of the concentrator;

[0188] The operation module is configured to solve a preset nonlinear refractive index equation set according to a preset refractive index condition and the first structure parameter, and generate at least one candidate parameter set; each candidate parameter set includes a first candidate parameter and a plurality of second candidate parameters corresponding to the first candidate parameter; the first candidate parameter is a candidate parameter corresponding to the first compressor in the energy converging device; and the second candidate parameter is a candidate parameter corresponding to the second compressor in the energy converging device.

[0189] The second parameter determination module is configured to take a second candidate parameter with the minimum value in all the candidate parameter sets as a third structure parameter of the energy converging device, and take a first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the minimum value as a second structure parameter; the second structure parameter is a value from the converging device center to the outer sidewall of the first compressor; and the third structure parameter is a value from the converging device center to the outer sidewall of the second compressor.

[0190] The terminal device 900 can be a desktop computer, a cloud server, or the like. The terminal device 900 can include, but is not limited to, a processor 910 and a memory 920. Those skilled in the art can understand that the terminal device 900 can include more or fewer components than those shown, or can combine some components, or include different components, for example, the terminal device 900 can also include an input / output device, a network access device, a bus, and the like. Figure 9 The terminal device 900 shown in FIG. 9 is merely an example and does not limit the terminal device 900, and the terminal device 900 can include more or fewer components than those shown, or can combine some components, or include different components, for example, the terminal device 900 can also include an input / output device, a network access device, a bus, and the like.

[0191] The processor 910 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gates or transistor logic components, discrete hardware components, or the like. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0192] The memory 920 can be an internal storage unit of the terminal device 900, for example, a hard disk or a memory of the terminal device 900. The memory 920 can also be an external storage device of the terminal device 900, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, and the like equipped on the terminal device 900. Further, the memory 920 can also include both an internal storage unit and an external storage device of the terminal device 900. The memory 920 is used to store the computer program 921 and other programs and data required by the terminal device 900. The memory 920 can also be used to temporarily store data that has been output or will be output.

[0193] The embodiment of the present application further discloses a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to realize the parameter determination method of the energy harvesting device according to the foregoing embodiments.

[0194] The embodiment of the present application further discloses a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the parameter determination method of the energy harvesting device according to the foregoing embodiments.

[0195] The embodiment of the present application further discloses a computer program product, which, when running on a computer, enables the computer to execute the parameter determination method of the energy harvesting device according to the foregoing embodiments.

[0196] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than limit them. Although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalent features; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method for determining the parameters of an energy concentrating device, characterized in that, The energy converging device comprises a converging device, a first compressor and a second compressor, and the parameter determination method comprises: determining a first structure parameter corresponding to the compression coefficient based on the preset compression coefficient; the first structure parameter is a value from the center of the converging device to the outer side wall of the converging device in the energy converging device; solving a preset nonlinear refractive index equation set based on a preset refractive index condition and the first structure parameter to generate at least one candidate parameter set; each candidate parameter set comprises a first candidate parameter and a plurality of second candidate parameters corresponding to the first candidate parameter; the first candidate parameter is a candidate parameter corresponding to the first compressor in the energy converging device; the second candidate parameter is a candidate parameter corresponding to the second compressor in the energy converging device; taking the second candidate parameter with the minimum value in all the candidate parameter sets as a third structure parameter of the energy converging device, and taking the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the minimum value as a second structure parameter; the second structure parameter is a value from the center of the converging device to the outer side wall of the first compressor; the third structure parameter is a value from the center of the converging device to the outer side wall of the second compressor; the nonlinear refractive index equation set comprises a radial progressive refractive index formula, an angular progressive refractive index formula and a progressive refractive index distribution formula; before the step of solving the preset nonlinear refractive index equation set based on the preset refractive index condition and the first structure parameter to generate at least one candidate parameter set, the method comprises: determining a nonlinear coordinate transformation equation set based on a refractive index nonlinear compression equation set and a linear coordinate transformation equation set; generating the angular progressive refractive index formula based on the nonlinear coordinate transformation equation set and an angular refractive index formula; generating the radial progressive refractive index formula based on the nonlinear coordinate transformation equation set and a radial refractive index formula; generating the progressive refractive index distribution formula based on the nonlinear coordinate transformation equation set and a refractive index distribution formula; the step of solving the preset nonlinear refractive index equation set based on the preset refractive index condition and the first structure parameter to generate at least one candidate parameter set comprises: inputting the first structure parameter into the progressive refractive index distribution formula to generate a first refractive index distribution equation set; the progressive refractive index distribution formula is as follows: wherein, the r1 is used for representing the first structure parameter; the r3 is used for representing the second structure parameter; the R is used for representing the third structure parameter; the rr1 is used for representing a first nonlinear compression formula in the refractive index nonlinear compression equation group; the rr2 is used for representing a second nonlinear compression formula in the refractive index nonlinear compression equation group; the n bb (r′) is used for representing the refractive index corresponding to the radial distance r′ from the concentrator center; determining a refractive index minimum value corresponding to the first compressor and the second compressor based on the first refractive index distribution equation set; inputting the first structure parameter into the radial refractive index distribution formula to generate a second refractive index distribution equation set; the radial progressive refractive index formula is as follows: said n rr′ (r') for denoting the radial refractive index corresponding to a radial distance value of r' from the center of the concentrator; based on the refractive index minimum value, solving the first refractive index distribution equation set, taking a value of the second structure parameter when the first refractive index distribution equation set satisfies the refractive index minimum value as a first initial value of the first candidate parameter, and taking a value of the third structure parameter as a second initial value of the second candidate parameter; determining a first final value corresponding to the first initial value based on a preset first span value, and determining a second final value corresponding to the second initial value based on a preset second span value; inputting the first initial value, the first final value, the second initial value, the second final value, the first structure parameter and the nonlinear refractive index equation set into a preset loop algorithm to generate the candidate parameter set.

2. The method of claim 1, wherein, The step of inputting the first initial value, the first final value, the second initial value, the second final value, the first structure parameter and the nonlinear refractive index equation set into a preset loop algorithm to generate the candidate parameter set comprises: determining a total number of loop rounds based on a preset first increment and the first final value; in the kth loop round, determining a first candidate value of the kth candidate parameter set corresponding to the kth loop round based on the k, the first increment and the first initial value, and obtaining at least one second candidate value of the kth candidate parameter set corresponding to the kth loop round based on a preset second increment, the second initial value and the second final value; the initial value of the k is 0; inputting the first structure parameter and the first candidate value into the gradual refractive index distribution formula to generate a third refractive index distribution equation set; inputting the first structure parameter and the first candidate value into the radial gradual refractive index formula to generate a fourth refractive index distribution equation set; inputting the first structure parameter, the first candidate value and the second candidate value into the angular gradual refractive index formula to generate a fifth refractive index distribution equation set; the angular gradual refractive index formula in the nonlinear refractive index equation set is as follows: said n θθ′ (r') for denoting the angular refractive index corresponding to a radial distance value r' from the center of the concentrator; determining whether the third refractive index distribution equation set, the fourth refractive index distribution equation set and the fifth refractive index distribution equation set satisfy a refractive index condition; the refractive index condition is as follows: n rr′ (r′)*n bb (r′)≥1 taking the first candidate value and the second candidate value when the third refractive index distribution equation set, the fourth refractive index distribution equation set and the fifth refractive index distribution equation set satisfy the refractive index condition as the second candidate parameter and the first candidate parameter in the kth candidate parameter set; if the k is less than the total number of loop rounds, increasing the value of the k, and returning to execute the step of determining a first candidate value of the kth candidate parameter set corresponding to the kth loop round based on the k, the first increment and the initial value, and obtaining at least one second candidate value of the kth candidate parameter set corresponding to the kth loop round based on a preset second increment, the second initial value and the second final value and subsequent steps thereof until the k is equal to or greater than the total number of loop rounds.

3. The method according to claim 1 or 2, characterized in that, after taking the second candidate parameter with the smallest value in all the candidate parameter sets as the third structure parameter of the energy converging device, and taking the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value as the second structure parameter, comprising: inputting the first structure parameter and the second structure parameter into a preset material matrix to determine a first material type corresponding to the first compressor; Input the first structure parameter into a preset material matrix to determine a second material type corresponding to the concentrator.

4. A parameter determination device for an energy concentrating device, characterized in that, The energy concentration device includes a concentrator, a first compressor and a second compressor, and the parameter determination apparatus includes: a first parameter determination module configured to determine a first structure parameter corresponding to a preset compression coefficient based on the compression coefficient; the first structure parameter is a value from a center of the concentrator to an outer sidewall of the concentrator in the energy concentration device; an operation module configured to solve a preset nonlinear refractive index equation set based on a preset refractive index condition and the first structure parameter to generate at least one candidate parameter set; each candidate parameter set includes a first candidate parameter and a plurality of second candidate parameters corresponding to the first candidate parameter; the first candidate parameter is a candidate parameter corresponding to the first compressor in the energy concentration device; and the second candidate parameter is a candidate parameter corresponding to the second compressor in the energy concentration device; a second parameter determination module configured to take a second candidate parameter with the smallest value in all the candidate parameter sets as a third structure parameter of the energy concentration device, and take a first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value as a second structure parameter; the second structure parameter is a value from the center of the concentrator to an outer sidewall of the first compressor; and the third structure parameter is a value from the center of the concentrator to an outer sidewall of the second compressor; the nonlinear refractive index equation set includes a radial progressive refractive index formula, an angular progressive refractive index formula and a progressive refractive index distribution formula; the operation module is further configured to determine a nonlinear coordinate transformation equation set based on a refractive index nonlinear compression equation set and a linear coordinate transformation equation set; generate the angular progressive refractive index formula based on the nonlinear coordinate transformation equation set and an angular refractive index formula; generate the radial progressive refractive index formula based on the nonlinear coordinate transformation equation set and a radial refractive index formula; and generate the progressive refractive index distribution formula based on the nonlinear coordinate transformation equation set and a refractive index distribution formula; the operation module is further configured to input the first structure parameter into the progressive refractive index distribution formula to generate a first refractive index distribution equation set; the progressive refractive index distribution formula is as follows: wherein, the r1 is used for representing the first structure parameter; the r3 is used for representing the second structure parameter; the R is used for representing the third structure parameter; the rr1 is used for representing a first nonlinear compression formula in the refractive index nonlinear compression equation group; the rr2 is used for representing a second nonlinear compression formula in the refractive index nonlinear compression equation group; the n bb (r′) is used for representing the refractive index corresponding to the radial distance r′ from the concentrator center; determine a refractive index minimum value corresponding to the first compressor and the second compressor based on the first refractive index distribution equation set; input the first structure parameter into the radial refractive index distribution formula to generate a second refractive index distribution equation set; the radial progressive refractive index formula is as follows: said n rr′ (r') for denoting the radial refractive index corresponding to a radial distance value of r' from the center of the concentrator; solve the first refractive index distribution equation set based on the refractive index minimum value; when the first refractive index distribution equation set satisfies the refractive index minimum value, take a value of the second structure parameter as a first initial value of the first candidate parameter, and take a value of the third structure parameter as a second initial value of the second candidate parameter; determine a first final value corresponding to the first initial value based on a preset first span value, and determine a second final value corresponding to the second initial value based on a preset second span value; and determine a first final value corresponding to the first initial value based on a preset first span value, and determine a second final value corresponding to the second initial value based on a preset second span value. The first initial value, the first final value, the second initial value, the second final value, the first structure parameter and the nonlinear refractive index equation set are input into a preset loop algorithm to generate the candidate parameter set.

5. An energy-harvesting device, comprising: Comprise: The converger is in a cylindrical shape; The first compressor is arranged around the converger, and an inner side wall of the first compressor is attached to an outer side wall of the converger; The second compressor is arranged around the first compressor, and an inner side wall of the second compressor is attached to an outer side wall of the first compressor, and a part of an outer side wall of the second compressor away from the center of the converger is covered with a reflective layer; The first structure parameter of the converger, the second structure parameter of the first compressor and the third structure parameter of the second compressor are determined based on the parameter determination method of the energy converging device according to any one of claims 1-3.

6. The energy concentrating device of claim 5, wherein, The part of the second compressor covered with the reflective layer accounts for one half of a surface area of the outer side wall of the second compressor away from the center of the converger.

7. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the parameter determination method of the energy converging device according to any one of claims 1-3.

8. A computer-readable storage medium storing a computer program, the computer-readable storage medium comprising: The computer program is executed by the processor to implement the parameter determination method of the energy converging device according to any one of claims 1-3.

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