Application for reducing skin effect of conductor based on electron deep protective agent

Abstract

The invention discloses an application for reducing a conductor skin effect based on an electron deep protective agent, and relates to the technical field of current distribution regulation. Through real-time monitoring and self-adaptive regulation, current density is transited to a deep position layer by layer, a surface layer concentration phenomenon is remarkably reduced, dynamic response can be realized in a frequency change environment, and the current density is reduced. Meanwhile, an electron deep protection layer is introduced, current distribution can be stabilized and direct impact of frequency fluctuation can be relieved in a high-frequency environment, the anti-loss capability of the surface layer of the conductor is improved, the overall stability of the conductor is enhanced, the service life of equipment is prolonged, in addition, a closed-loop feedback control mechanism is adopted, and the service life of the equipment is prolonged. The adaptive filter monitors the current concentration condition in real time and automatically adjusts the current distribution, so that the current density always tends to a uniform and smooth transition state, the smoothness and stability of the current distribution are improved, and transient loss caused by current concentration under frequency fluctuation can be reduced.

Description

Technical Field

[0001] The invention relates to the technical field of current distribution regulation, in particular to an application of reducing the skin effect of a conductor based on an electronic depth protection agent. Background Art

[0002] At present, in order to reduce the skin effect of conductors, methods such as structural optimization and material optimization are widely used in engineering. Typical structural optimization includes the use of multi-stranded wires, hollow conductors, hollow designs, etc., which disperse the concentration effect of high-frequency current by increasing the effective surface area of ​​the conductor to reduce the loss caused by the skin effect. At the same time, low-resistivity materials such as copper are selected to reduce resistance and suppress conductor losses. Such methods can effectively disperse the current density at a certain frequency and make the current more evenly distributed on the surface and inside. However, as the frequency in the application scenario increases further, the influence of the skin effect becomes more significant, and the suppression effect of these methods gradually decays.

[0003] To further address the unevenness of the skin effect at high frequencies as it changes with frequency, some solutions also use composite material structures. Common methods include silver or copper plating on the surface of the conductor, or adjusting the electromagnetic response of the conductor through a multilayer composite structure of copper, aluminum and other materials. Composite materials can effectively guide the current to be distributed along the surface at higher frequencies by providing a high conductivity layer on the surface, so that the current density forms a relatively stable transition between the surface and the interior of the conductor. However, in actual use of this multi-material structure, the difference in thermal expansion coefficients between different materials will cause microcracks in the interface layer, which will in turn affect the long-term stability of the conductor. In addition, this type of composite design is costly and it is difficult to achieve stable performance in complex cable structures or large-scale power equipment.

[0004] It can be seen that the traditional solution has a good effect in suppressing the skin effect under static or low frequency conditions, but it is difficult to respond to real-time frequency fluctuations in application scenarios with high frequency or dynamic frequency changes; in the case of large frequency jumps or fluctuations, the current will still quickly concentrate on the surface of the conductor, resulting in increased losses and affecting the overall efficiency of the equipment. Therefore, there is an urgent need for an application solution based on electronic depth protection agent to reduce the skin effect of conductors to solve such problems. Summary of the invention

[0005] In view of the above existing problems, the present invention is proposed.

[0006] The present invention provides an application solution for reducing the skin effect of conductors based on an electronic depth protector to solve the problem that traditional solutions lack the ability to adaptively adjust current density when facing a high-frequency dynamic environment, and are difficult to effectively suppress high-frequency losses.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] The present invention provides an application of reducing the skin effect of a conductor based on an electronic depth protection agent, which comprises:

[0009] Step S1, current concentration trend detection,

[0010] Adopt adaptive filter to monitor the frequency change of current in conductor in real time, predict and capture the current concentration trend caused by frequency fluctuation based on the monitored frequency data, and generate dynamic data of current current density distribution;

[0011] Step S2, adaptive adjustment of current density distribution,

[0012] Based on the current distribution data provided in step S1, a current distribution control algorithm is used to dynamically adjust the current density in the conductor;

[0013] Step S3, electronic depth protection layer loss suppression,

[0014] An electronic depth protection layer is introduced on the conductor surface; the electronic depth protection layer has high conductivity characteristics and can stabilize the current density distribution on the surface under high-frequency current environment. This protection layer not only reduces the direct impact of high-frequency frequency fluctuations on the surface, but also provides anti-loss ability and enhances the conductor's loss resistance in frequency fluctuations; the electronic depth protection layer further stabilizes the adjusted current distribution and reduces the conductor's surface loss in frequency mutations;

[0015] Step S4, adaptive adjustment cycle,

[0016] By introducing a feedback mechanism, the adaptive filter continuously monitors the current concentration caused by frequency fluctuations and dynamically adjusts the current distribution trend.

[0017] Furthermore, in step S1, the current concentration trend detection method is:

[0018] Assume that the frequency of the high-frequency current is f(t), and its change with time is defined as: f(t) = f0 + Δf(t), where f(t) represents the instantaneous frequency at a certain time t, f0 is the reference frequency, and Δf(t) is the offset of the instantaneous frequency;

[0019] Real-time filtering is used to obtain the distribution function of current density J(d,t), where d is the conductor depth and t is the time, satisfying the relationship: Where J(d,t) is the current density at depth d at time t, J0 is the initial current density on the conductor surface, and α(d) is the depth attenuation factor of the conductor material, defined as Where μ is the magnetic permeability of the material, σ is the electrical conductivity of the material;

[0020] Based on the relationship between the instantaneous frequency change Δf(t) and the current density gradient, an adaptive filter is used to analyze the current concentration trend at the current frequency, and the current concentration trend parameter is defined as Among them, C(t) represents the magnitude of the concentration trend of the surface current. The larger the value, the stronger the trend of increasing surface current density. represents the current density gradient at the surface location;

[0021] The filter performs continuous detection and dynamically updates the current density distribution J(d, t) to generate a transient current density distribution data matrix, J(t) = [J(d1, t), J(d2, t), …, J(d n ,t)], where J(t) is the depth of different i The instantaneous current density data matrix at i = [1, n], d i Different discrete depth points in the conductor reflect the distribution of current density in the entire depth range; thereby generating dynamic current density distribution data under the current frequency fluctuation conditions.

[0022] Furthermore, the dynamic adjustment method in step S2 is:

[0023] The current density is distributed layer by layer, so that the current presents a smooth depth transition inside the conductor, reducing the phenomenon of instantaneous current concentration on the surface under high-frequency fluctuations; the adjusted current distribution forms a gradient of internal and external transition, effectively reducing the skin effect and improving current concentration.

[0024] Furthermore, in step S2, the current density distribution is adaptively adjusted in the following manner:

[0025] Based on the real-time current distribution data matrix J(t) in step S1, define the target current density distribution J target (d, t), so that the current density at depth d satisfies the smooth distribution of layer-by-layer attenuation, and the error calculation is performed:

[0026] J target (d,t)=J0·e -β·d , where J target (d, t) represents the target current density at the depth d of the conductor at time t, J0 represents the initial current density of the surface layer, which is the measurement data of step S1, and β is the smooth attenuation coefficient, which controls the attenuation speed of the current density in the depth direction;

[0027] Real-time calculation of current current density distribution J(d,t) and target distribution J target The error E(d, t) of (d, t) is defined, and the error function is defined at the conductor depth d, E(d, t) = J(d, t)-J target(d, t), where E(d, t) is the current density error at depth d and time t, and J(d, t) is the current density measured in real time, which comes from step S1.

[0028] Furthermore, in step S2, the error E(d, t) is adjusted using a depth distribution control algorithm to achieve the target distribution, the adjustment factor ΔJ(d, t) is calculated, and the current density distribution at each depth inside the conductor is dynamically calculated based on the error E(d, t):

[0029] Where ΔJ(d,t) represents the current density adjustment at depth d, and η is the adjustment step size, which determines the adjustment speed. is the gradient of the error function at depth d, indicating the rate of change of the error along the depth direction;

[0030] Based on the superposition adjustment factor ΔJ(d,t), the current density J(d,t) is updated, and adaptive adjustment is performed to update the current density to obtain a new current density distribution: J new (d, t) = J(d, t) + ΔJ(d, t), where J new (d, t) is the updated current density distribution, J(d, t) is the current current density distribution, and ΔJ(d, t) is the adjustment value calculated based on the error;

[0031] Repeat error calculation, adjustment factor calculation and current density update, real-time update of J(d,t) and J new (d, t), gradually make the current density distribution tend to the target value J target (d, t), so that the conductor has a smooth depth transition inside, thereby reducing the influence of skin effect on the surface concentration of current.

[0032] Furthermore, in step S3, the electronic depth protection layer is introduced as follows:

[0033] A material with a higher conductivity than the conductor body is used as the protective layer, and the thickness of the protective layer is set to 1-2 times the skin depth;

[0034] Electroplating, chemical vapor deposition CVD and physical vapor deposition PVD are used to attach the protective layer to the surface of the conductor.

[0035] Furthermore, in step S4, once the adaptive filter detects the trend of the current re-concentrating on the surface, the feedback mechanism is activated, and the electronic depth protection layer is combined to maintain a long-term skin effect suppression effect.

[0036] Furthermore, in step S4, real-time frequency monitoring is performed based on an adaptive filter:

[0037] The function f(t) of the real-time monitoring frequency and the instantaneous current density gradient G(d,t) are set for feedback judgment. The relationship between the current density gradient and the frequency is defined as:

[0038] Among them, G(d,t) represents the current density gradient at depth d at time t, which is used to determine the concentration trend of the current, and J(d,t) is the current density distribution. The adaptive filter monitors the changes of G(d,t) and captures the immediate impact of frequency fluctuations on the current distribution, which serves as the basis of the feedback mechanism.

[0039] The feedback signal S(t) is calculated based on G(d,t) to adjust the current distribution trend. When the current density is concentrated on the surface, S(t) becomes larger, triggering the feedback mechanism:

[0040]

[0041] Among them, S(t) is the feedback signal at time t, which is used to monitor the overall current concentration trend, d max is the total depth of the conductor, dd represents the differential element at depth d, which means integrating the depth d; S(t) represents the overall intensity of the current density concentration trend. Once it exceeds the set threshold, feedback will be triggered.

[0042] Furthermore, in step S4, the feedback signal S(t) is used to control the dynamic adjustment coefficient γ(t) to adaptively adjust the current distribution trend, and the relationship between the adjustment coefficient and the feedback signal is defined as:

[0043] γ(t)=γ0+k·(S(t)-S th ),

[0044] Among them, γ(t) is the adjustment coefficient of current distribution, which is used to adjust the current density in real time, γ0 is the initial adjustment coefficient, k is the feedback gain, and controls the adjustment sensitivity, S th is the threshold of the feedback signal. Once S(t)>S th , start enhanced regulation; when the feedback signal S(t) exceeds the threshold S th When , the feedback mechanism increases the adjustment coefficient γ(t) and reduces the skin effect.

[0045] Furthermore, in step S4, the current distribution is adaptively updated:

[0046] According to the adjustment coefficient γ(t), the distribution trend of the current density J(d,t) is updated in real time to obtain the new distribution J new (d,t):

[0047] J new (d,t)=J(d,t)·(1-γ(t)·e -λ·d ), where Jnew (d, t) is the updated current density distribution, λ is the depth attenuation coefficient, and the layer-by-layer attenuation is adjusted. The current distribution is dynamically affected by adjusting the coefficient γ(t), so that the current transitions layer by layer in a high-frequency environment, effectively reducing the surface concentration phenomenon of the skin effect;

[0048] The whole feedback mechanism forms a closed loop, adaptively optimizing the current distribution in a frequency-varying environment. Once the current concentration trend caused by the frequency fluctuation weakens, the feedback signal S(t) will be lower than the threshold S th , the adjustment coefficient γ(t) automatically falls back to the initial state.

[0049] The beneficial effects of the present invention are:

[0050] The present invention, through real-time monitoring and adaptive adjustment, transitions the current density layer by layer to the depth, significantly reducing the surface concentration phenomenon. Compared with the traditional method of simply increasing the conductor cross-section or reducing the frequency, it can dynamically respond in a frequency-changing environment and effectively reduce high-frequency losses. By introducing an electronic depth protection layer, it can stabilize the current distribution in a high-frequency environment and alleviate the direct impact of frequency fluctuations. It not only improves the anti-loss ability of the conductor surface, but also enhances the overall stability of the conductor and extends the life of the equipment.

[0051] The present invention adopts a closed-loop feedback control mechanism, and the adaptive filter monitors the current concentration in real time and automatically adjusts the current distribution, so that the current density always tends to a uniform and smooth transition state, which not only improves the smoothness and stability of the current distribution, but also can reduce the transient loss caused by current concentration under frequency fluctuations.

[0052] The present invention combines current distribution optimization with a protective layer, and can achieve excellent suppression effects without significantly increasing the cross-sectional area of ​​the conductor. Under the same power conditions, the amount of conductor material used is reduced, thereby improving the economy and lightweight advantages of the application. It can also maintain the stability of the current distribution in application scenarios with high frequency and large frequency fluctuations, making the conductor suitable for use in a variety of fields such as power electronics, radio frequency transmission, and high-frequency transformers. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0054] Figure 1 The present invention is a schematic flow chart of the application method of reducing the skin effect of a conductor based on an electron depth protectant. DETAILED DESCRIPTION

[0055] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0056] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0057] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0058] Example 1, reference Figure 1 This embodiment provides an application of reducing the conductor skin effect based on an electron depth protector, comprising the following steps:

[0059] Step S1, current concentration trend detection, using an adaptive filter to monitor the frequency change of the current in the conductor in real time, predicting and capturing the current concentration trend caused by frequency fluctuations based on the monitored frequency data, and generating dynamic data of the current current density distribution;

[0060] In step S1, the current concentration trend detection method is:

[0061] Assume that the frequency of the high-frequency current is f(t), and its change with time is defined as: f(t) = f0 + Δf(t), where f(t) represents the instantaneous frequency at a certain time t, f0 is the reference frequency, and Δf(t) is the offset of the instantaneous frequency;

[0062] Real-time filtering is used to obtain the distribution function of current density J(d,t), where d is the conductor depth and t is the time, satisfying the relationship: Where J(d,t) is the current density at depth d at time t, J0 is the initial current density on the conductor surface, and α(d) is the depth attenuation factor of the conductor material, defined as Where μ is the magnetic permeability of the material, σ is the electrical conductivity of the material;

[0063] Based on the relationship between the instantaneous frequency change Δf(t) and the current density gradient, an adaptive filter is used to analyze the current concentration trend at the current frequency, and the current concentration trend parameter is defined as Among them, C(t) represents the magnitude of the concentration trend of the surface current. The larger the value, the stronger the trend of increasing surface current density. represents the current density gradient at the surface location;

[0064] The filter performs continuous detection and dynamically updates the current density distribution J(d, t) to generate a transient current density distribution data matrix, J(t) = [J(d1, t), J(d2, t), …, J(d n ,t)], where J(t) is the depth of different i The instantaneous current density data matrix at i = [1, n], d i Different discrete depth points in the conductor reflect the distribution of current density in the entire depth range; thus generating dynamic current density distribution data under the current frequency fluctuation conditions;

[0065] Specifically, real-time frequency monitoring is performed through an adaptive filter to quickly detect the impact of frequency changes on current concentration. When the high-frequency current frequency fluctuates, the current density of the conductor will be re-concentrated on the surface, resulting in greater energy loss. In the present invention, the adaptive filter can not only capture the changing trend, but also generate the current current density distribution data, adjust the current distribution trend in real time, and greatly improve the timeliness of current density regulation.

[0066] Step S2, adaptively adjusting the current density distribution, based on the current distribution data provided in step S1, using a current distribution control algorithm to dynamically adjust the current density in the conductor;

[0067] The dynamic adjustment method in step S2 is: distribute the current density layer by layer, so that the current presents a smooth depth transition inside the conductor, reducing the phenomenon of instantaneous current concentration on the surface under high-frequency fluctuations; the adjusted current distribution forms a gradient of internal and external transition, effectively reducing the skin effect and improving the current concentration;

[0068] In step S2, the current density distribution is adaptively adjusted in the following manner:

[0069] Based on the real-time current distribution data matrix J(t) in step S1, define the target current density distribution J target (d, t), so that the current density at depth d satisfies the smooth distribution of layer-by-layer attenuation, and the error calculation is performed:

[0070] J target (d,t)=J0·e -β·d , where J target (d, t) represents the target current density at the depth d of the conductor at time t, J0 represents the initial current density of the surface layer, which is the measurement data of step S1, and β is the smooth attenuation coefficient, which controls the attenuation speed of the current density in the depth direction;

[0071] Real-time calculation of current current density distribution J(d,t) and target distribution Jtarget The error E(d, t) of (d, t) is defined, and the error function is defined at the conductor depth d, E(d, t) = J(d, t)-J target (d, t), where E(d, t) is the current density error at depth d and time t, and J(d, t) is the current density measured in real time, from step S1;

[0072] In step S2, the error E(d, t) is adjusted using the depth distribution control algorithm to achieve the target distribution, the adjustment factor ΔJ(d, t) is calculated, and the current density distribution at each depth inside the conductor is dynamically calculated based on the error E(d, t):

[0073] Where ΔJ(d,t) represents the current density adjustment at depth d, and η is the adjustment step size, which determines the adjustment speed. is the gradient of the error function at depth d, indicating the rate of change of the error along the depth direction;

[0074] Based on the superposition adjustment factor ΔJ(d,t), the current density J(d,t) is updated, and adaptive adjustment is performed to update the current density to obtain a new current density distribution: J new (d, t) = J(d, t) + ΔJ(d, t), where J new (d, t) is the updated current density distribution, J(d, t) is the current current density distribution, and ΔJ(d, t) is the adjustment value calculated based on the error;

[0075] Repeat error calculation, adjustment factor calculation and current density update, real-time update of J(d,t) and J new (d, t), gradually make the current density distribution tend to the target value J target (d, t), so that the conductor has a smooth depth transition, thereby reducing the skin effect on the surface concentration of current;

[0076] Specifically, by adjusting the current distribution layer by layer, the current forms a smooth gradient with decreasing depth in the conductor, which weakens the skin effect. The traditional skin effect control method relies on reducing the frequency or increasing the conductor cross-section, which is difficult to achieve in the high-frequency field. In the present invention, through the depth distribution control algorithm, the current transitions to the depth layer by layer, disperses the concentrated characteristics of the surface current, reduces the energy loss caused by current concentration at high frequencies, and greatly reduces the problem of increased conductor surface impedance.

[0077] Step S3, electron depth protection layer loss suppression, introduce an electron depth protection layer on the conductor surface; the electron depth protection layer has high conductivity characteristics, can stabilize the current density distribution of the surface layer under high-frequency current environment, this protection layer not only reduces the direct impact of high-frequency frequency fluctuations on the surface layer, but also provides anti-loss ability, enhances the conductor's loss resistance in frequency fluctuations; the electron depth protection layer further stabilizes the adjusted current distribution, and reduces the conductor's surface loss in frequency mutations;

[0078] In step S3, the electronic depth protection layer is introduced by using a material with a higher conductivity than the conductor body as the protection layer, and the thickness of the protection layer is set to 1-2 times the skin depth;

[0079] Electroplating, chemical vapor deposition CVD and physical vapor deposition PVD are used to attach the protective layer to the conductor surface;

[0080] Specifically, an electronic depth protection layer is introduced on the surface of the conductor to effectively absorb the impact caused by surface frequency fluctuations. When the frequency changes drastically, the protection layer acts as a buffer layer, so that the current will not be instantly concentrated on the surface of the conductor.

[0081] Step S4, adaptive regulation loop, introducing feedback mechanism, the adaptive filter continuously monitors the current concentration caused by frequency fluctuation and dynamically adjusts the current distribution trend;

[0082] In step S4, once the adaptive filter detects the trend of the current re-concentrating toward the surface, the feedback mechanism is activated, and the electronic depth protection layer is combined to maintain a long-term skin effect suppression effect;

[0083] In step S4, real-time frequency monitoring is performed based on an adaptive filter:

[0084] The function f(t) of the real-time monitoring frequency and the instantaneous current density gradient G(d,t) are set for feedback judgment. The relationship between the current density gradient and the frequency is defined as:

[0085] Among them, G(d,t) represents the current density gradient at depth d at time t, which is used to determine the concentration trend of the current, and J(d,t) is the current density distribution. The adaptive filter monitors the changes of G(d,t) and captures the immediate impact of frequency fluctuations on the current distribution, which serves as the basis of the feedback mechanism.

[0086] The feedback signal S(t) is calculated based on G(d,t) to adjust the current distribution trend. When the current density is concentrated on the surface, S(t) becomes larger, triggering the feedback mechanism:

[0087]

[0088] Among them, S(t) is the feedback signal at time t, which is used to monitor the overall current concentration trend, d max is the total depth of the conductor, dd represents the differential element at depth d, which means the integration of depth d; S(t) represents the overall intensity of the concentration trend of current density, and once it exceeds the set threshold, feedback will be triggered;

[0089] In step S4, the feedback signal t(t) is used to control the dynamic adjustment coefficient γ(t) to adaptively adjust the current distribution trend. The relationship between the adjustment coefficient and the feedback signal is defined as:

[0090] γ(t)=γ0+k·(S(t)-S th ),

[0091] Among them, γ(t) is the adjustment coefficient of current distribution, which is used to adjust the current density in real time, γ0 is the initial adjustment coefficient, k is the feedback gain, and controls the adjustment sensitivity, S th is the threshold of the feedback signal. Once S(t)>S th , start enhanced regulation; when the feedback signal S(t) exceeds the threshold S th When , the feedback mechanism increases the adjustment coefficient γ(t) to reduce the skin effect;

[0092] In step S4, the current distribution is adaptively updated:

[0093] According to the adjustment coefficient γ(t), the distribution trend of the current density J(d,t) is updated in real time to obtain the new distribution J new (d,t):

[0094] J new (d,t)=J(d,t)·(1-γ(t)·e -λ·d ), where J new (d, t) is the updated current density distribution, λ is the depth attenuation coefficient, and the layer-by-layer attenuation is adjusted. The current distribution is dynamically affected by adjusting the coefficient γ(t), so that the current transitions layer by layer in a high-frequency environment, effectively reducing the surface concentration phenomenon of the skin effect;

[0095] The whole feedback mechanism forms a closed loop, adaptively optimizing the current distribution in a frequency-varying environment. Once the current concentration trend caused by the frequency fluctuation weakens, the feedback signal S(t) will be lower than the threshold S th , the adjustment coefficient γ(t) automatically falls back to the initial state;

[0096] Specifically, the adaptive filter continuously monitors the current distribution through feedback signals and adjusts the distribution trend of the current density according to the feedback signals. Once the frequency change causes the current concentration to increase, the feedback mechanism is immediately activated to enhance the adjustment force and prevent the current from re-concentrating on the surface.

[0097] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An application of reducing the skin effect of conductors based on an electronic depth protection agent, characterized in that: The application steps include, Step S1, current concentration trend detection, using an adaptive filter to monitor the frequency change of the current in the conductor in real time, predicting and capturing the current concentration trend caused by frequency fluctuations based on the monitored frequency data, and generating dynamic data of the current current density distribution; Step S2, adaptively adjusting the current density distribution, based on the current distribution data provided in step S1, using a current distribution control algorithm to dynamically adjust the current density in the conductor; Step S3, electron depth protection layer loss suppression, introducing an electron depth protection layer on the conductor surface; Step S4, an adaptive adjustment loop, introduces a feedback mechanism, and the adaptive filter continuously monitors the current concentration caused by frequency fluctuations and dynamically adjusts the current distribution trend.

2. The application of reducing the skin effect of conductors based on an electron depth protection agent according to claim 1, characterized in that: In step S1, the current concentration trend detection method is: Assume that the frequency of the high-frequency current is f(t), and its change with time is defined as: f(t) = f0 + Δf(t), where f(t) represents the instantaneous frequency at a certain time t, f0 is the reference frequency, and Δf(t) is the offset of the instantaneous frequency; Real-time filtering is used to obtain the distribution function of current density J(d,t), where d is the conductor depth and t is the time, satisfying the relationship: Where J(d,t) is the current density at depth d at time t, J0 is the initial current density on the conductor surface, and α(d) is the depth attenuation factor of the conductor material, defined as Where μ is the magnetic permeability of the material, σ is the electrical conductivity of the material; Based on the relationship between the instantaneous frequency change Δf(t) and the current density gradient, an adaptive filter is used to analyze the current concentration trend at the current frequency, and the current concentration trend parameter is defined as Among them, C(t) represents the magnitude of the concentration trend of the surface current, represents the current density gradient at the surface location; The filter performs continuous detection and dynamically updates the current density distribution J(d, t) to generate a transient current density distribution data matrix, J(t) = [J(d1, t), J(d2, t), …, J(d n ,t)], where J(t) is the depth of different i The instantaneous current density data matrix at i = [1, n], d i The depths of the conductors are different discrete depth points, reflecting the distribution of current density in the entire depth range.

3. The application of reducing the conductor skin effect based on the electron depth protection agent according to claim 2 is characterized in that: The dynamic adjustment method in step S2 is: The current density is distributed layer by layer, so that the current presents a smooth depth transition inside the conductor.

4. The application of reducing the skin effect of conductors based on an electron depth protection agent according to claim 3, characterized in that: In step S2, the current density distribution is adaptively adjusted in the following manner: Based on the real-time current distribution data matrix J(t) in step S1, define the target current density distribution J target (d, t), so that the current density at depth d satisfies the smooth distribution of layer-by-layer attenuation, and the error calculation is performed: J target (d,t)=J0·e -β·d , where J target (d, t) represents the target current density at the depth d of the conductor at time t, J0 represents the initial current density of the surface layer, which is the measurement data of step S1, and β is the smooth attenuation coefficient, which controls the attenuation speed of the current density in the depth direction; Real-time calculation of current current density distribution J(d,t) and target distribution J target The error E(d, t) of (d, t) is defined, and the error function is defined at the conductor depth d, E(d, t) = J(d, t)-J target (d, t), where E(d, t) is the current density error at depth d and time t, and J(d, t) is the current density measured in real time, which comes from step S1.

5. The application of reducing the conductor skin effect based on the electron depth protection agent according to claim 4 is characterized in that: In step S2, the error E(d, t) is adjusted using the depth distribution control algorithm to achieve the target distribution, the adjustment factor ΔJ(d, t) is calculated, and the current density distribution at each depth inside the conductor is dynamically calculated based on the error E(d, t): Where ΔJ(d,t) represents the current density adjustment at depth d, and η is the adjustment step size, which determines the adjustment speed. is the gradient of the error function at depth d, indicating the rate of change of the error along the depth direction; Based on the superposition adjustment factor ΔJ(d,t), the current density J(d,t) is updated, and adaptive adjustment is performed to update the current density to obtain a new current density distribution: J new (d, t) = J(d, t) + ΔJ(d, t), where J new (d, t) is the updated current density distribution, J(d, t) is the current current density distribution, and ΔJ(d, t) is the adjustment value calculated based on the error; Repeat error calculation, adjustment factor calculation and current density update, real-time update of J(d,t) and J new (d, t), gradually make the current density distribution tend to the target value J target (d,t).

6. The application of reducing the skin effect of conductors based on an electron depth protection agent according to claim 5, characterized in that: In step S3, the electronic depth protection layer is introduced as follows: A material with a higher conductivity than the conductor body is used as the protective layer, and the thickness of the protective layer is set to 1-2 times the skin depth; Electroplating, chemical vapor deposition CVD and physical vapor deposition PVD are used to attach the protective layer to the surface of the conductor.

7. The use of an electron depth protection agent to reduce the conductor skin effect according to claim 6, characterized in that: In step S4, once the adaptive filter detects the trend of the current concentrating toward the surface again, the feedback mechanism is started.

8. The application of reducing the conductor skin effect based on the electron depth protection agent according to claim 7 is characterized in that: In step S4, real-time frequency monitoring is performed based on an adaptive filter: The function f(t) of the real-time monitoring frequency and the instantaneous current density gradient G(d,t) are set for feedback judgment. The relationship between the current density gradient and the frequency is defined as: Where G(d,t) represents the current density gradient at depth d at time t, which is used to determine the concentration trend of the current, and J(d,t) is the current density distribution; The feedback signal S(t) is calculated based on G(d,t) to adjust the current distribution trend. When the current density is concentrated on the surface, S(t) becomes larger, triggering the feedback mechanism: Among them, S(t) is the feedback signal at time t, which is used to monitor the overall current concentration trend, d max is the total depth of the conductor, dd represents the differential element at depth d, and represents the integration of depth d.

9. The use of an electron depth protection agent to reduce the conductor skin effect according to claim 8, characterized in that: In step S4, the feedback signal S(t) is used to control the dynamic adjustment coefficient γ(t) to adaptively adjust the current distribution trend. The relationship between the adjustment coefficient and the feedback signal is defined as: γ(t)=γ0+k·(S(t)-S th ), Among them, γ(t) is the adjustment coefficient of current distribution, which is used to adjust the current density in real time, γ0 is the initial adjustment coefficient, k is the feedback gain, and controls the adjustment sensitivity, S th is the threshold of the feedback signal. Once S(t)>S th , start enhanced regulation.

10. The application of reducing the skin effect of conductors based on an electron depth protection agent according to claim 9, characterized in that: In step S4, the current distribution is adaptively updated: According to the adjustment coefficient γ(t), the distribution trend of the current density J(d,t) is updated in real time to obtain the new distribution J new (d,t): J new (d,t)=J(d,t)·(1-γ(t)·e -λ·d ), where J new (d, t) is the updated current density distribution, λ is the depth attenuation coefficient, and adjusts the layer-by-layer attenuation; The whole feedback mechanism forms a closed loop, adaptively optimizing the current distribution in a frequency-varying environment. Once the current concentration trend caused by the frequency fluctuation weakens, the feedback signal S(t) will be lower than the threshold S th , the adjustment coefficient γ(t) automatically falls back to the initial state.

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