Energy convergence device, parameter determination method and device of energy convergence device, terminal equipment and storage medium

Abstract

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

Description

Technical Field

[0001] The embodiments of the present application belong to the field of transformation optics technology, and in particular, relate to an energy convergence device, a method and apparatus for determining parameters of the energy convergence device, a terminal device, and a storage medium. Background Art

[0002] With the research and development of transformation optics, a large number of metamaterial electromagnetic devices with broad application prospects and novel functions have emerged, such as electromagnetic wave convergence devices, invisible cloaks, concentrators, curved waveguides and illusion devices. Among them, the convergence device based on transformation optics is a high-efficiency electromagnetic wave or sound wave energy collection and capture technology designed using the principles of transformation optics. This convergence device can optimize the concentration effect of electromagnetic waves or sound waves, thereby efficiently converging electromagnetic wave energy or sound wave energy. However, during use, the convergence devices designed based on the existing technology require media such as water or stainless steel as the backplane material and cannot be used directly in the air. Therefore, the usage scenario is small and has certain major limitations. Summary of the invention

[0003] In view of this, the embodiments of the present application provide an energy convergence device, a method for determining parameters of the energy convergence device, an apparatus, a terminal device and a storage medium, so as to provide an energy convergence device that can be used in an air medium, thereby expanding the use scenarios of the energy convergence device.

[0004] A first aspect of an embodiment of the present application provides an energy convergence device, including:

[0005] A concentrator, wherein the concentrator is cylindrical;

[0006] A first compressor is arranged around the concentrator, and the inner side wall of the first compressor is in contact with the outer side wall of the concentrator;

[0007] A second compressor is arranged around the first compressor, the inner side wall of the second compressor is in contact with the outer side wall of the first compressor, and a portion of the outer side wall of the second compressor away from the center of the concentrator is covered with a reflective layer;

[0008] The first structural parameter of the concentrator 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 group.

[0009] In a possible implementation manner of the first aspect, the partial area of ​​the second compressor covered with the reflective layer occupies one half of the surface area of ​​the outer side wall of the second compressor away from the center of the concentrator.

[0010] In the first aspect of the embodiment of the present application, since in the energy convergence device, 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 group, therefore, in the energy convergence device provided in the present embodiment, the radial refractive index inside the first compressor and the second compressor is always greater than 1, and therefore, there is no need to adjust the radial refractive index inside the first compressor and the second compressor through the back plate material, so that the energy convergence device provided by the embodiment of the present application can be used in the air; further, since the second compressor of the energy convergence device is coated with a reflective layer on a partial area on the side away from the center of the concentrator, when the energy convergence device converges sound waves or electromagnetic waves, it can not only converge through the first compressor and the second compressor, but also converge through the reflective layer, thereby achieving a double convergence effect, thereby increasing the convergence efficiency of the energy convergence device.

[0011] A second aspect of an embodiment of the present application provides a method for determining parameters of an energy convergence 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 a preset compression coefficient, determining a first structural parameter corresponding to the compression coefficient; the first structural parameter is a value from the center of the concentrator to the outer side wall of the concentrator in the energy concentrating device;

[0014] According to the preset refractive index condition and the first structural parameter, a preset nonlinear refractive index equation group is solved to generate at least one candidate parameter set; each of the candidate parameter sets 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 used as the third structural parameter of the energy convergence device, and the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value is used as the second structural parameter; the second structural parameter is the value from the center of the concentrator to the outer wall of the first compressor; the third structural parameter is the value from the center of the concentrator to the outer wall of the second compressor.

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

[0017] Before solving the preset nonlinear refractive index equation group according to the preset refractive index condition and the first structural parameter to generate at least one candidate parameter set, the method includes:

[0018] Determine a nonlinear coordinate transformation equation group based on the refractive index nonlinear compression equation group and the linear coordinate transformation equation group;

[0019] Based on the nonlinear coordinate transformation equation group and the angular refractive index formula, generating the angular progressive refractive index formula;

[0020] Based on the nonlinear coordinate transformation equation group and the radial refractive index formula, generating the radial progressive refractive index formula;

[0021] The progressive refractive index distribution formula is generated based on the nonlinear coordinate transformation equation group and the refractive index distribution formula.

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

[0023] Inputting the first structural parameter into the progressive refractive index distribution formula to generate a first refractive index distribution equation group;

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

[0025]

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

[0027] Determining minimum refractive index values ​​corresponding to the first compressor and the second compressor based on the first refractive index distribution equation group;

[0028] Inputting the first structural parameter into the radial refractive index distribution formula to generate a second refractive index distribution equation group;

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

[0030]

[0031] Therr′ (r′) is used to represent the radial refractive index corresponding to the radial distance value r′ from the center of the concentrator;

[0032] Solving the first refractive index distribution equation group based on the minimum refractive index value, and when the first refractive index distribution equation group satisfies the minimum refractive index value, using the value of the second structural parameter as the first initial value of the first candidate parameter, and using the value of the third structural parameter as the second initial value of the second candidate parameter;

[0033] 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;

[0034] The first initial value, the first final value, the second initial value, the second final value, the first structural parameter and the nonlinear refractive index equation group are input into a preset loop algorithm to generate the candidate parameter set.

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

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

[0037] In a kth cycle, based on k, the first increment and the first initial value, a first candidate value of a kth candidate parameter set corresponding to the kth cycle is determined, and based on a preset second increment, the second initial value and the second final value, at least one second candidate value of a kth candidate parameter set corresponding to the kth cycle is obtained; the initial value of k is 0;

[0038] Inputting the first structural parameter and the first candidate value into the progressive refractive index distribution formula to generate a third refractive index distribution equation group;

[0039] Inputting the first structural parameter and the first candidate value into the radial progressive refractive index formula to generate a fourth refractive index distribution equation group;

[0040] Inputting the first structural 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 group;

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

[0042]

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

[0044] Determining whether 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;

[0045] The refractive index conditions are as follows:

[0046] n rr′ (r′)*n bb (r′)≥1

[0047] taking 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 as the second candidate parameter and the first candidate parameter in the kth candidate parameter set;

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

[0049] In a possible implementation manner of the second aspect, after taking the second candidate parameter with the smallest value in all the candidate parameter sets as the third structural parameter of the energy convergence 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 structural parameter, the method includes:

[0050] Inputting the first structural parameter and the second structural parameter 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 the second material type corresponding to the concentrator.

[0052] A third aspect of an embodiment of the present application provides a parameter determination device for an energy convergence device, including:

[0053] A first parameter determination module, used to determine a first structural parameter corresponding to the compression coefficient based on a preset compression coefficient; the first structural parameter is a value from the center of the concentrator to the outer side wall of the concentrator in the energy concentrating device;

[0054] A calculation module, used for solving a preset nonlinear refractive index equation group according to a preset refractive index condition and the first structural parameter to generate at least one candidate parameter set; each of the candidate parameter sets 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 convergence device; the second candidate parameter is a candidate parameter corresponding to the second compressor in the energy convergence device;

[0055] The second parameter determination module is used to take the second candidate parameter with the smallest value in all the candidate parameter sets as the third structural parameter of the energy convergence device, and take the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value as the second structural parameter; the second structural parameter is the value from the center of the concentrator to the outer wall of the first compressor; the third structural parameter is the value from the center of the concentrator to the outer wall of the second compressor.

[0056] The fourth aspect of an embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for determining parameters of an energy convergence device as described in the first aspect above is implemented.

[0057] A fifth aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for determining parameters of an energy convergence device as described in the first aspect above is implemented.

[0058] A sixth aspect of the embodiments of the present application provides a computer program product. When the computer program product is run on a computer, the computer is enabled to execute the method for determining parameters of an energy convergence device as described in the first aspect.

[0059] Compared with the prior art, the embodiments of the present application have the following advantages:

[0060] In the second aspect of the embodiment of the present application, when the terminal device determines the parameters of the energy convergence device, it can solve the nonlinear refractive index equation group according to the refractive index condition and the first structural parameter pre-set by the R&D personnel to generate at least one candidate parameter set; then, the terminal device can use the second candidate parameter with the smallest value in all candidate parameter sets as the third structural parameter of the energy convergence device, and use the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value as the second structural parameter. Since the second structural parameter and the third structural parameter of the energy convergence device are obtained by the terminal device solving the nonlinear refractive index equation group according to the refractive index condition, the structural parameters determined by the terminal device can ensure that the radial refractive index inside the energy convergence device is always greater than 1, so that when the energy convergence device is in use, there is no need to further adjust the refractive index inside the energy convergence device through the backplane material. The energy convergence device made according to the structural parameters determined in this embodiment can be used directly in the air, so that it has a wider range of usage scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or prior art descriptions. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

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

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

[0064] Figure 3 is a schematic diagram of a method for determining parameters of an energy convergence device provided in an embodiment of the present application;

[0065] Figure 4 is a schematic diagram of another method for determining parameters of an energy convergence device provided in an embodiment of the present application;

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

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

[0068] Figure 7 This is a radial refractive index distribution diagram of an energy focusing device under different refractive indexes provided in an embodiment of the present application;

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

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

[0071] In the following description, specific details such as specific system structures, technologies, etc. are proposed for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from hindering the description of the present application.

[0072] Converging devices based on transformation optics are a highly efficient electromagnetic wave or acoustic wave energy collection and capture technology designed using the principles of transformation optics. Transformation optics is an electromagnetic theory based on the covariance of Maxwell's equations under arbitrary coordinate transformations. Its core idea is to simulate or realize the electromagnetic field distribution effect in virtual space by filling the physical space with materials with special parameter distribution. Virtual space can be a theoretical, idealized electromagnetic space. It can be of any shape, size and material, and is used to describe the electromagnetic space that R&D personnel need to design. See Figure 1 , shows a conversion schematic diagram of an energy convergence device provided in an embodiment of the present application. Among them, Figure 1 The dashed line in the middle can be used to represent the size of the concentrator in the real space when it is mapped in the virtual space, and r2 can be used to represent the radius of the concentrator after it is mapped in the virtual space. Figure 1 As shown, when designing energy convergence devices, researchers can use transformation functions to map virtual space or part of virtual space to the physical space of actual application, so as to realize the corresponding functions of virtual space in actual physical space. Figure 1 In the energy concentrator device shown, when designing, the researchers need to compress the r2 area in the virtual space to the r1 area 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 equations used in the solution proposed by Rahm et al. are as follows:

[0073]

[0074] φ′=φ 0≤φ≤π

[0075] z′=z -∞≤z≤∞

[0076] Among them, (r′, φ′, z′) can be used to represent values ​​in physical space. Specifically, r′ can be used to represent the radial distance from a certain point on the energy convergence device to the center of the concentrator in the virtual space. φ′ can be used to represent the angle value between two points on any circular plane on the energy convergence device in the virtual space. z′ can be used to represent the height of the energy convergence device in the virtual space. (r, φ, z) can be used to represent values ​​in real space. Specifically, r can be used to represent the radial distance from a certain point on the energy convergence device to the center of the concentrator in the real space. φ can be used to represent the angle value between two points on any circular plane on the energy convergence device in the real space. z can be used to represent the height of the energy convergence device in the real space. r1 can be used to represent the first structural parameter of the energy convergence 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 convergence device.

[0077] When the researchers compress the r2 area in the virtual space to the r1 area, since the overall size of the energy convergence device is fixed, the annular area between r2 and r3 is expanding to the annular area between r1 and r3. It can be seen from the above formula that in the existing scheme, the linear coordinate transformation equations used by the researchers in designing the energy convergence device are linear functions, 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 value less than 1. This requirement cannot be achieved in reality within a wide frequency range. Therefore, in order to adjust the radial refractive index inside the first compressor in the energy convergence device, the convergence devices designed by the prior art require a medium such as water or stainless steel as the backplane material during use and cannot be used directly in the air.

[0078] The technical solution of the present application is described below through specific embodiments.

[0079] Reference Figure 2 , shows a schematic diagram of an energy concentrator provided in an embodiment of the present application. The energy concentrator can be a cylindrical device, so, Figure 1 This is a top view of the energy converging device. Figure 2 As shown, the energy convergence device can be mainly composed of two regions, a convergence region and a transition region. The convergence region can include a concentrator 1. The transition region can include a first compressor 2, a second compressor 3 and a reflective layer 4. Specifically, the concentrator 1 in the energy convergence device can be cylindrical. The first structural parameter r1 of the concentrator 1 in the energy convergence device can be determined according to the compression coefficient that the energy convergence device needs to achieve.

[0080] Both the first compressor 2 and the second compressor 3 can be annular structural members. The first compressor 2 can be arranged around the concentrator 1, and the inner wall of the first compressor 2 can fit with the outer wall of the concentrator 1. The second structural parameter r3 corresponding to the first compressor 2 in the energy converging device can be determined according to the compression coefficient and the nonlinear refractive index equation set pre-set by the R&D personnel. The second compressor 3 can be arranged around the first compressor 2, and the inner wall of the second compressor 3 can fit with the outer wall of the first compressor 2. Furthermore, a partial area of ​​the outer wall of the second compressor 3 away from the center of the concentrator 1 can be covered with a reflective layer. Among them, the reflective layer 4 can be formed by applying a reflective material to the outer wall of the second compressor 3.

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

[0082] In a possible implementation, the reflective layer 4 may be a cylinder covering the outer wall of the second compressor 3 , the directrix of the cylinder is an arc concentric with the concentrator 1 , and the radian of the arc may be π.

[0083] In a possible implementation, the reflective layer 4 may be covered on the outer side wall of the second compressor 3 in the direction of the electromagnetic wave or sound wave emission. Exemplarily, when the electromagnetic wave or sound wave is incident from the left side of the energy convergence device and emitted from the right side of the energy convergence device, the reflective layer 4 may be covered on the outer side wall on the right side of the second compressor 3 to reflect the energy of the concentrator 1, thereby compressing it again, achieving a double convergence effect and improving the convergence efficiency.

[0084] In a possible implementation, the reflective layer coated on the second compressor 3 may be a highly conductive metal, a superconducting material, a special structural material or a composite material, wherein the highly conductive metal may be silver, copper, gold, etc., the superconducting material may be copper oxide, iron-based superconducting material, etc., the special structural material may be graphene, etc., the composite material may be a gold-plated material, a silver-plated material, etc., and any of the above materials can simulate a perfect electrical conductor (PEC) material.

[0085] Reference Figure 3 , showing a schematic diagram of a parameter determination method for an energy convergence device provided in an embodiment of the present application, the parameter determination method can be used to determine Figure 2 The structural parameters of the energy convergence device shown. The parameter determination method of the energy convergence device may specifically include the following steps:

[0086] S301. Based on a preset compression coefficient, determine a 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 according to the compression coefficient input by the R&D personnel, that is, Figure 2 r1 in. Among them, the first structural parameter can be used to represent the value from the center of the concentrator in the energy convergence device to the outside of the concentrator, that is, the first structural parameter can be used to represent the radius of the concentrator in the energy convergence device. Specifically, the compression coefficient input by the R&D personnel can be used to represent the ratio of the wavelength of the electromagnetic wave or sound wave before and after being compressed inside the energy convergence device. For example, if the R&D personnel need the energy convergence device to be able to compress the wavelength of the electromagnetic wave or sound wave to the original 1 / a, then a here can be the compression coefficient.

[0088] In a possible implementation, a first parameter conversion table preset by a developer may be stored in the terminal device. The first parameter conversion table may store a plurality of different compression coefficients and first structural parameters corresponding to each compression coefficient. After the developer inputs the compression coefficient, the terminal device may query the first structural parameter corresponding to the current compression coefficient according to the first parameter conversion table. For example, when the compression coefficient is 2, the first structural parameter corresponding to the aggregator may be 1.

[0089] S302: Solve a preset nonlinear refractive index equation group according to a preset refractive index condition and a first structural parameter 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 equation group according to the refractive index condition and the first structural parameter pre-set by the R&D personnel to generate 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 convergence device. The second candidate parameter in the candidate parameter set can be a candidate parameter corresponding to the second compressor in the energy convergence device.

[0091] In a possible implementation, after determining the first structural parameter corresponding to the compression coefficient, the terminal device can also query the second parameter conversion table preset by the R&D personnel according to the first structural parameter and the compression coefficient to determine the value of the first structural parameter mapped in the virtual space, that is, determine the virtual space parameter corresponding to the first structural parameter according to the second parameter conversion table, that is, Figure 1 r2 in.

[0092] In a possible implementation, the terminal device may generate a set of candidate parameters by solving the nonlinear refractive index equations, and may also include a third candidate parameter corresponding to each second candidate parameter, wherein the third candidate parameter may be a candidate parameter corresponding to the expansion coefficient of the energy converging device.

[0093] In a possible implementation, the terminal device can also determine the nonlinear refractive index equation group before solving the preset nonlinear refractive index equation group and generating at least one candidate parameter set. Among them, the nonlinear refractive index equation group can be composed of three parts: the angular progressive refractive index formula, the radial progressive refractive index formula and the progressive refractive index distribution formula. Specifically, the terminal device can determine the nonlinear coordinate transformation equation group according to the refractive index nonlinear compression equation group and the linear coordinate transformation equation group input by the R&D personnel. Specifically, the refractive index nonlinear compression equation group may include a first nonlinear compression formula and a second nonlinear compression formula. The terminal device can replace the first nonlinear compression formula in the refractive index nonlinear compression equation group with r1 in the linear coordinate transformation equation group, and replace the second nonlinear compression formula in the refractive index nonlinear compression equation group with r2 in the linear coordinate transformation equation group to generate a nonlinear refractive index equation group. Among them, the specific formula of the linear coordinate transformation equation group is troublesome to refer to the relevant content in this application, which will not be repeated here.

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

[0095]

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

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

[0098]

[0099] Wherein, r3 can be used to represent the second structural parameter, and m can be used to represent the expansion coefficient.

[0100] Specifically, the nonlinear coordinate transformation equations can be shown 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 based on the nonlinear coordinate transformation equation group and the refractive index distribution formula.

[0105] The formula for the graded refractive index profile can be shown as follows.

[0106]

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

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

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

[0110]

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

[0112]

[0113] Among them, n θθ′ (r′) can be used to represent the angular refractive index corresponding to the radial distance value r′ from the center of the concentrator.

[0114] The terminal device can also generate a radial progressive refractive index formula based on the nonlinear coordinate transformation equation group and the radial refractive index formula.

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

[0116]

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

[0118]

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

[0120] S303: taking the second candidate parameter with the smallest value in all candidate parameter sets as the third structural parameter of the energy focusing 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 structural parameter.

[0121] In this embodiment, after the terminal device solves the nonlinear refractive index equation group according to the refractive index condition and the first structural parameter to generate a candidate parameter set, it can select the second candidate parameter with the smallest value from all the solved candidate parameter sets as the third structural parameter of the energy convergence device, that is, Figure 2 The terminal device may also use the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value as the second structural parameter, that is, Figure 2 r3 in.

[0122] Through the method provided by this embodiment, since the second structural parameter and the third structural parameter of the energy convergence device are obtained by the terminal device solving the nonlinear refractive index equation group according to the refractive index condition, the structural parameters determined by the terminal device can ensure that the radial refractive index inside the energy convergence device always meets the condition that the radial refractive index is greater than 1, so that when the energy convergence device is in use, there is no need to further adjust the refractive index inside the energy convergence device through the backplane material. The energy convergence device made according to the structural parameters determined in this embodiment can be used directly in the air, so it has a wider range of usage scenarios.

[0123] In a possible implementation, after determining the second structural parameter and the third structural parameter, the terminal device may also input the first structural parameter and the second structural parameter into a material matrix pre-set by the R&D personnel to 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 concentrator. Specifically, the first material type may include the dielectric constant and relative magnetic permeability corresponding to the first compressor. The second material type may include the dielectric constant and relative magnetic permeability corresponding to the concentrator.

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

[0125]

[0126] in, Can represent the dielectric constant. It can be expressed as relative magnetic permeability. η r′ The formula can be shown as follows.

[0127]

[0128] Figure 4The specific implementation flow chart of a parameter determination method S302 of an energy convergence device provided in the third embodiment of the present application is shown. Figure 4 , compared to Figure 3 In the embodiment, in a method for determining parameters of an energy convergence device provided in this embodiment, S302 includes: S3021 to S3025, which are described in detail as follows:

[0129] S3021. Input the first structural parameter into the progressive refractive index distribution formula to generate a first refractive index distribution equation group.

[0130] In this embodiment, after determining the first structural parameter and the nonlinear refractive index equation group, the terminal device can input the first structural parameter and the virtual space parameter corresponding to the first structural parameter into the progressive refractive index distribution formula to generate the first refractive index distribution equation group. The specific expression of the progressive refractive index distribution formula is referred to the content in the first embodiment of the present application, which will not be 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 group.

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

[0133] Exemplarily, when the compression coefficient n is 2, the first structural parameter r1 of the energy convergence device can be 1, and the virtual space parameter r2 corresponding to the first structural parameter can be 2. After the terminal device inputs r1 as 1 and r2 as 2 into the progressive refractive index distribution formula to generate the first refractive index distribution equation group, the value range of the independent variable r' in the first refractive index distribution equation group in the transition region is r1 to r3. Therefore, after the terminal device solves the first refractive index distribution equation group for the maximum value, it can be determined that the maximum refractive index of the transition region in the energy convergence device at this time is 1.38. The terminal device can determine that the minimum refractive index of the current transition region is 1 / 1.38=0.73 based on the concentrator extreme value conversion function.

[0134] S3023. Input the first structural parameters into the radial refractive index distribution formula to generate a second refractive index distribution equation group.

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

[0136] S3024. Solve the first refractive index distribution equation group based on the minimum refractive index value. When the first refractive index distribution equation group satisfies the minimum refractive index value, the value of the second structural parameter is used as the first initial value of the first candidate parameter, and the value of the third structural parameter is used as the second initial value of the second candidate parameter.

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

[0138] In a possible implementation, exemplarily, when the compression coefficient n is 2, the first structural parameter r1 of the energy convergence device is 1, and the virtual space parameter r2 corresponding to the first structural parameter is 2, the minimum refractive index of the transition zone is 0.73. When the first refractive index distribution equation group satisfies the minimum refractive index, the value of the second structural parameter r3 is 5.5, and the expansion coefficient m is 1.4. Therefore, the terminal device can use 5.5 as the first initial value of the first candidate parameter and 1.4 as the third initial value of the third candidate parameter. Theoretically, during the expansion process of the annular area between r2 and r3, that is, during the expansion process of the first compressor, when the first compressor expands to the limit, the first compressor can occupy the entire transition zone of the energy convergence device. At this time, the energy convergence device may not include the second compressor. Therefore, the second initial value of the second candidate parameter can also be 5.5.

[0139] S3025. 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.

[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, thereby determining 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, thereby determining 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] Exemplarily, 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 preset by the developer is 0.5, the second span value is 3, and the third final value is r2=2, then 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. When the terminal device generates the candidate parameter set, the value range of the first candidate parameter is [5.5, 6], 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] S3026. Input the first initial value, the first final value, the second initial value, the second final value, the first structural parameter, and the nonlinear refractive index equation group 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 structural parameter and the nonlinear refractive index equation group into a 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 for the terminal device to generate a candidate parameter set through a cyclic algorithm can be described 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. Among them, the first increment can be used to represent the increment corresponding to 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. Exemplarily, 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. At the same time, the first candidate value in the k+1th loop round can be 0.1 more than the first candidate value in the kth loop round. Among them, the initial value of k can be 0.

[0145] In the kth cycle round, the terminal device may 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 may 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 pre-set by the R&D personnel. The terminal device may 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 pre-set by the R&D personnel.

[0146] In the kth cycle, the terminal device may input the first structural parameter, the first candidate value corresponding to the kth cycle, and each third candidate value in the kth cycle into the progressive refractive index distribution formula to generate a third refractive index distribution equation group. Further, the terminal device may input the first structural parameter, the first candidate value corresponding to the kth cycle, and each third candidate value in the kth cycle into the radial progressive refractive index formula to generate a fourth refractive index distribution equation group. Then, the terminal device may input the first structural parameter, the first candidate value in the kth cycle, each second candidate value in the kth cycle, and each third candidate value in the kth cycle into the angular progressive refractive index formula to generate at least one fifth refractive index distribution equation group. Wherein, the specific forms of the progressive refractive index distribution formula, the radial progressive refractive index formula, and the angular progressive refractive index formula refer to the relevant contents in the first method embodiment of the present application, which will not be repeated here. Finally, the terminal device can use the first candidate value, the second candidate value and the third 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 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 shown as follows:

[0148] n rr′ (r′)*n bb (r′)≥1

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

[0150] See also Figure 5 , shows a schematic diagram of a cycle provided by an embodiment of the present application. Figure 5 As shown, in the kth cycle, the first structural parameter r1 of the energy convergence 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 is 5.5+0.1*k. When the terminal device starts to execute the kth cycle, it can first use the second initial value as the current second candidate value and 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 loop. 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 may perform an operation of adding a second increment to the current second candidate value according to the second increment preset by the R&D personnel, and return to perform the above-mentioned operation of determining whether the current second candidate value is within the value range of the second candidate parameter and its 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 may input the current first candidate value, the second candidate value, the third candidate value, the first structural parameter and the virtual space parameter into the progressive refractive index distribution formula, the radial progressive refractive index formula and the angular progressive refractive index formula, respectively, to generate the third refractive index distribution equation group, the fourth refractive index distribution equation group and the fifth refractive index distribution equation group.

[0153] Then, the terminal device can determine whether the current third refractive index distribution equation group, the fourth refractive index distribution equation group and the fifth refractive index distribution equation group meet the refractive index condition. If the current third refractive index distribution equation group, the fourth refractive index distribution equation group and the fifth refractive index distribution equation group do not meet the refractive index condition, the terminal device can perform the operation of increasing the third increment on the current third candidate value according to the third increment pre-set by the R&D personnel, and return to perform the above-mentioned operation of determining whether the current third candidate value is within the value range of the third candidate parameter and its subsequent operations. If the current third refractive index distribution equation group, the fourth refractive index distribution equation group and the fifth refractive index distribution equation group meet the refractive index condition, the terminal device can use 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 the operation of increasing the third increment on the current third candidate value according to the third increment pre-set by the R&D personnel, and return to perform the above-mentioned operation of determining whether the current third candidate value is within the value range of the third candidate parameter and its subsequent operations.

[0154] In order to prove the effectiveness of this plan, the R&D personnel conducted a verification experiment using the structural parameters determined when the compression coefficient is 2 as an example. The specific contents of the verification experiment are as follows.

[0155] In the verification experiment, the researchers used the ratio of the energy density of the concentrating area (i.e., the area formed by the first compressor and the second compressor) to the energy density of the entire device as a reference to calculate the relationship between the compression coefficient n and the concentrating efficiency η of the ideal concentrator. Figure 6 , which shows a schematic diagram of the relationship between a compression coefficient n and a convergence efficiency η provided in an embodiment of the present application. Figure 6 As shown, Figure 6 The vertical axis in the graph can represent the convergence efficiency, the horizontal axis can represent the compression factor, the solid dots can represent the convergence efficiency and compression factor corresponding to the theoretical values, and the squares can represent the convergence efficiency and compression factor corresponding to the actual values. It can be seen that Figure 6 As shown by the dotted line in the figure, as the compression coefficient n = r2 / r1 gradually increases, the convergence efficiency η also increases rapidly. When the compression coefficient n = 5, the area within the virtual space parameter r2 = 5 will be compressed to the area r1 = 1, and the compression efficiency n is close to 80%. When the compression coefficient n = 5.8, the compression efficiency η is 100%. It can be seen that in this scheme, by changing the third structural parameter R and the expansion coefficient m, the following can be achieved: Figure 6 The actual values ​​shown in the square blocks correspond to the convergence efficiency and compression factor, where the highest value of the actual convergence efficiency is close to 50%. At this time, the actual compression factor n is equivalent to 3.3 in the ideal case.

[0156] See Table 1 below, which shows a structural parameter table corresponding to different compression coefficients n provided in an embodiment of the present application.

[0157] m <![CDATA[r1]]> <![CDATA[r2]]> <![CDATA[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=2 corresponding to the first structural parameter, 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, which is Figure 6 The equivalent result of the ideal compression coefficient n=3.3 is shown in FIG.

[0159] See also Figure 7 , shows a radial refractive index distribution diagram of an energy convergence device provided by an embodiment of the present application under different compression coefficients. According to Table 1, it can be seen that as the compression coefficient n continues to increase, the required size R of the energy convergence device also continues to increase. Therefore, Figure 7 A in the figure can be the energy convergence device corresponding to the structural parameters determined according to the embodiment of the present application when the compression coefficient n=2. Figure 7 B in the figure may be an energy convergence device corresponding to the structural parameters determined according to the embodiment of the present application when the compression coefficient n=3. Figure 7 C in the figure can be the energy convergence device corresponding to the structural parameters determined according to the embodiment of the present application when the compression coefficient n=4. Further, Figure 7 The gradient coordinate axis on the far right can represent different radial refractive indices. Therefore, it can be seen that Figure 7 The radial refractive index distribution in the three cases can be seen from the structural parameters determined by the method provided in this embodiment, the radial refractive index when the compression coefficient n=2, 3, 4 has met the initial requirement of being greater than 1, so the method provided in this embodiment can be implemented in practical applications. It should be noted that in order to facilitate the comparison of devices of different sizes, Figure 7 The three energy convergence devices are scaled accordingly. Specifically, Figure 7 The scaling factors of A in are 1, Figure 7 The scaling factors of B in are 2, Figure 7 The scaling factors of C in are 3 respectively, and this scaling does not affect the final result.

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

[0161] Reference Figure 8 , shows a schematic diagram of a parameter determination device for an energy convergence device provided in an embodiment of the present application, which may specifically include a first parameter determination module 801, a calculation module 802, and a second parameter determination module 803, wherein:

[0162] A first parameter determination module 801 is used to determine a first structural parameter corresponding to the compression coefficient based on a preset compression coefficient; the first structural parameter is a value from the center of the concentrator to the outer side wall of the concentrator in the energy concentrating device;

[0163] The operation module 802 is used to solve the preset nonlinear refractive index equation group according to the preset refractive index condition and the first structural parameter to generate at least one candidate parameter set; each of the candidate parameter sets 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 used to take the second candidate parameter with the smallest value in all the candidate parameter sets as the third structural parameter of the energy convergence device, and take the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value as the second structural parameter; the second structural parameter is the value from the center of the concentrator to the outer wall of the first compressor; the third structural parameter is the value from the center of the concentrator to the outer wall of the second compressor.

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

[0166] The operation module can also be used to input the first structural parameter into the progressive refractive index distribution formula to generate a first refractive index distribution equation group;

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

[0168]

[0169] Wherein, r1 is used to represent the first structural parameter; r3 is used to represent the second structural parameter; R is used to represent the third structural parameter; rr1 is used to represent the first nonlinear compression formula in the refractive index nonlinear compression equation group; rr2 is used to represent the second nonlinear compression formula in the refractive index nonlinear compression equation group; n bb (r′) is used to represent the refractive index corresponding to the radial distance r′ from the center of the concentrator;

[0170] Determine the minimum refractive index corresponding to the first compressor and the second compressor based on the first refractive index distribution equation group; input the first structural 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 rr′ (r′) is used to represent the radial refractive index corresponding to the radial distance value r′ from the center of the concentrator;

[0174] The first refractive index distribution equation group is solved based on the minimum refractive index value. When the first refractive index distribution equation group satisfies the minimum refractive index value, the value of the second structural parameter is used as the first initial value of the first candidate parameter, and the value of the third structural parameter is used as the second initial value of the second candidate parameter; a first final value corresponding to the first initial value is determined based on a preset first span value, and a second final value corresponding to the second initial value is determined 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 structural parameter and the nonlinear refractive index equation group are input 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 cycles based on a preset first increment and the first final value; in a kth cycle, based on k, the first increment and the first initial value, determine a first candidate value of a kth candidate parameter set corresponding to the kth cycle, and based on a preset second increment, the second initial value and the second final value, obtain at least one second candidate value of a kth candidate parameter set corresponding to the kth cycle; the initial value of k is 0; the first structural parameter and the first candidate value are input into the progressive refractive index distribution formula to generate a third refractive index distribution equation group; the first structural parameter and the first candidate value are input into the radial progressive refractive index formula to generate a fourth refractive index distribution equation group; the first structural parameter, the first candidate value and the second candidate value are input into the angular progressive refractive index formula to generate a fifth refractive index distribution equation group;

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

[0177]

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

[0179] Determining whether 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;

[0180] The refractive index conditions are 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 used 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 the loop rounds, the value of the k is increased, and the steps of determining the 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 in the kth loop round, 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 are returned to execute, until the k is equal to or greater than the total number of the loop rounds.

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

[0184] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment part.

[0185] Reference Fig. 9 , shows a schematic diagram of a terminal device provided by an embodiment of the present application. Fig. 9 As shown, 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. When the processor 910 executes the computer program 921, the steps in each embodiment of the parameter determination method of the energy convergence device are implemented, such as Figure 3 Alternatively, when the processor 910 executes the computer program 921, the functions of each module / unit in the above-mentioned device embodiments are realized, for example Figure 8 Functions of modules 801 to 803 are shown.

[0186] Exemplarily, the computer program 921 may 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 may be a series of computer program instruction segments capable of completing specific functions, which may be used to describe the execution process of the computer program 921 in the terminal device 900. For example, the computer program 921 may be divided into a first parameter determination module, a calculation module, and a second parameter determination module, and the specific functions of each module are as follows:

[0187] A first parameter determination module, used to determine a first structural parameter corresponding to the compression coefficient based on a preset compression coefficient; the first structural parameter is a value from the center of the concentrator to the outer side wall of the concentrator in the energy concentrating device;

[0188] A calculation module, used for solving a preset nonlinear refractive index equation group according to a preset refractive index condition and the first structural parameter to generate at least one candidate parameter set; each of the candidate parameter sets 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 convergence device; the second candidate parameter is a candidate parameter corresponding to the second compressor in the energy convergence device;

[0189] The second parameter determination module is used to take the second candidate parameter with the smallest value in all the candidate parameter sets as the third structural parameter of the energy convergence device, and take the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value as the second structural parameter; the second structural parameter is the value from the center of the concentrator to the outer wall of the first compressor; the third structural parameter is the value from the center of the concentrator to the outer wall of the second compressor.

[0190] The terminal device 900 may be a computing device such as a desktop computer or a cloud server. The terminal device 900 may include, but is not limited to, a processor 910 and a memory 920. Those skilled in the art will appreciate that Fig. 9 It is only an example of the terminal device 900 and does not constitute a limitation of the terminal device 900. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device 900 may also include input and output devices, network access devices, buses, etc.

[0191] The processor 910 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0192] The memory 920 may be an internal storage unit of the terminal device 900, such as a hard disk or memory of the terminal device 900. The memory 920 may also be an external storage device of the terminal device 900, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 900. Further, the memory 920 may also include both an internal storage unit of the terminal device 900 and an external storage device. 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 may also be used to temporarily store data that has been output or is to be output.

[0193] An embodiment of the present application also discloses a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for determining parameters of the energy convergence device as described in the aforementioned embodiments is implemented.

[0194] The embodiments of the present application further disclose a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for determining parameters of an energy convergence device as described in the above embodiments is implemented.

[0195] The embodiments of the present application further disclose a computer program product. When the computer program product is run on a computer, the computer is enabled to execute the parameter determination method of the energy convergence device described in the above embodiments.

[0196] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application is described in detail with reference to the above-mentioned embodiments, a person skilled in the art should understand that the technical solutions described in the above-mentioned embodiments can still be modified, or some of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of 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. An energy converging device, characterized in that: include: A concentrator, wherein the concentrator is cylindrical; A first compressor is arranged around the concentrator, and the inner side wall of the first compressor is in contact with the outer side wall of the concentrator; A second compressor is arranged around the first compressor, the inner side wall of the second compressor is in contact with the outer side wall of the first compressor, and a portion of the outer side wall of the second compressor away from the center of the concentrator is covered with a reflective layer; The first structural parameter of the concentrator 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 group.

2. The energy converging device according to claim 1, characterized in that: The partial area of ​​the second compressor covered with the reflective layer occupies one half of the surface area of ​​the outer side wall of the second compressor away from the center of the concentrator.

3. A method for determining parameters of an energy convergence device, characterized in that: The energy converging device includes a converging device, a first compressor and a second compressor, and the parameter determination method includes: Based on a preset compression coefficient, determining a first structural parameter corresponding to the compression coefficient; the first structural parameter is a value from the center of the concentrator to the outer side wall of the concentrator in the energy concentrating device; According to the preset refractive index condition and the first structural parameter, a preset nonlinear refractive index equation group is solved to generate at least one candidate parameter set; each of the candidate parameter sets 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; The second candidate parameter with the smallest value in all the candidate parameter sets is used as the third structural parameter of the energy convergence device, and the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value is used as the second structural parameter; the second structural parameter is the value from the center of the concentrator to the outer wall of the first compressor; the third structural parameter is the value from the center of the concentrator to the outer wall of the second compressor.

4. The method according to claim 3, characterized in that The nonlinear refractive index equation group includes a radial progressive refractive index formula, an angular progressive refractive index formula and a progressive refractive index distribution formula; Before solving the preset nonlinear refractive index equation group according to the preset refractive index condition and the first structural parameter to generate at least one candidate parameter set, the method includes: Determine a nonlinear coordinate transformation equation group based on the refractive index nonlinear compression equation group and the linear coordinate transformation equation group; Based on the nonlinear coordinate transformation equation group and the angular refractive index formula, generating the angular progressive refractive index formula; Based on the nonlinear coordinate transformation equation group and the radial refractive index formula, generating the radial progressive refractive index formula; The progressive refractive index distribution formula is generated based on the nonlinear coordinate transformation equation group and the refractive index distribution formula.

5. The method according to claim 4, characterized in that The step of solving a preset nonlinear refractive index equation group according to the preset refractive index condition and the first structural parameter to generate at least one candidate parameter set includes: Inputting the first structural parameter into the progressive refractive index distribution formula to generate a first refractive index distribution equation group; The formula for the progressive refractive index distribution is as follows: Wherein, r1 is used to represent the first structural parameter; r3 is used to represent the second structural parameter; R is used to represent the third structural parameter; rr1 is used to represent the first nonlinear compression formula in the refractive index nonlinear compression equation group; rr2 is used to represent the second nonlinear compression formula in the refractive index nonlinear compression equation group; n bb (r′) is used to represent the refractive index corresponding to the radial distance r′ from the center of the concentrator; Determining minimum refractive index values ​​corresponding to the first compressor and the second compressor based on the first refractive index distribution equation group; Inputting the first structural parameter into the radial refractive index distribution formula to generate a second refractive index distribution equation group; The radial progressive refractive index formula is as follows: The rr′ (r′) is used to represent the radial refractive index corresponding to the radial distance value r′ from the center of the concentrator; Solving the first refractive index distribution equation group based on the minimum refractive index value, and when the first refractive index distribution equation group satisfies the minimum refractive index value, using the value of the second structural parameter as the first initial value of the first candidate parameter, and using the value of the third structural parameter as the 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; The first initial value, the first final value, the second initial value, the second final value, the first structural parameter and the nonlinear refractive index equation group are input into a preset loop algorithm to generate the candidate parameter set.

6. The method according to claim 5, characterized in that The step of inputting the first initial value, the first final value, the second initial value, the second final value, the first structural parameter, and the nonlinear refractive index equation group into a preset loop algorithm to generate the candidate parameter set includes: Determining a total number of loop rounds based on a preset first increment and the first final value; In a kth cycle, based on k, the first increment and the first initial value, a first candidate value of a kth candidate parameter set corresponding to the kth cycle is determined, and based on a preset second increment, the second initial value and the second final value, at least one second candidate value of a kth candidate parameter set corresponding to the kth cycle is obtained; the initial value of k is 0; Inputting the first structural parameter and the first candidate value into the progressive refractive index distribution formula to generate a third refractive index distribution equation group; Inputting the first structural parameter and the first candidate value into the radial progressive refractive index formula to generate a fourth refractive index distribution equation group; Inputting the first structural 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 group; The angular progressive refractive index formula in the nonlinear refractive index equation group is as follows: The θθ′ (r′) is used to represent the angular refractive index corresponding to the radial distance value r′ from the center of the concentrator; Determining whether 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; The refractive index conditions are 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 group, the fourth refractive index distribution equation group and the fifth refractive index distribution equation group 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 the loop rounds, the value of k is increased, and the steps of determining, in the kth loop round, based on the k, the first increment and the initial value, a first candidate value of the kth candidate parameter set corresponding to the kth loop round, and obtaining, based on a preset second increment, the second initial value and the second final value, at least one second candidate value of the kth candidate parameter set corresponding to the kth loop round and subsequent steps are returned to be executed until the k is equal to or greater than the total number of the loop rounds.

7. The method according to any one of claims 3 to 6, characterized in that: After taking the second candidate parameter with the smallest value in all the candidate parameter sets as the third structural parameter of the energy convergence 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 structural parameter, the method includes: Inputting the first structural parameter and the second structural parameter into a preset material matrix to determine a first material type corresponding to the first compressor; The first structural parameter is input into a preset material matrix to determine the second material type corresponding to the concentrator.

8. A parameter determination device for an energy convergence device, characterized in that: include: A first parameter determination module, used to determine a first structural parameter corresponding to a preset compression coefficient based on the compression coefficient; The first structural parameter is a value from the center of the concentrator to the outer side wall of the concentrator in the energy concentrating device; A calculation module, used for solving a preset nonlinear refractive index equation group according to a preset refractive index condition and the first structural parameter to generate at least one candidate parameter set; each of the candidate parameter sets 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 convergence device; the second candidate parameter is a candidate parameter corresponding to the second compressor in the energy convergence device; The second parameter determination module is used to take the second candidate parameter with the smallest value in all the candidate parameter sets as the third structural parameter of the energy convergence device, and take the first candidate parameter in the candidate parameter set corresponding to the second candidate parameter with the smallest value as the second structural parameter; the second structural parameter is the value from the center of the concentrator to the outer wall of the first compressor; the third structural parameter is the value from the center of the concentrator to the outer wall of the second compressor.

9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method for determining parameters of the energy convergence device as described in any one of claims 3 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for determining parameters of an energy convergence device as described in any one of claims 3 to 7 is implemented.

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