Detection method for mobile phone shell and related device

Abstract

The invention discloses a detection method for a mobile phone shell and a related device. The method comprises the following steps: performing position and angle correction in a reference plane according to a geometric reference relationship between an annular magnetic component and the shell to obtain an attitude reference; carrying out magnetic flux density acquisition on the annular region under the attitude reference, and dividing a plurality of sectors to obtain magnetic flux density and polarity information of each sector; generating a predicted value of a wireless power transmission coupling parameter according to the magnetic flux density and polarity information of each sector in combination with the geometrical relationship of the annular region; acquiring an actual measurement value of a wireless power transmission coupling parameter under a preset signal condition; and performing difference calculation on the predicted value and the measured value, and weighting and distributing the difference to each sector according to the angular position according to the magnetic flux density and polarity information of the sector to obtain a sector-level defect positioning result. According to the scheme, the consistency of the magnetic domain and the electric domain of the mobile phone shell with the annular magnetic component can be checked without depending on a real machine, and hidden defects such as pole dislocation, magnetic shortage, assembly deviation or abnormal spacing can be effectively identified.

Description

Technical Field

[0001] This invention relates to the field of mobile phone case testing and wireless power transmission consistency testing technology, and particularly to a testing method and related apparatus for mobile phone cases. Background Technology

[0002] Phone cases with MagSafe magnetic rings or metal sheets embed magnetic components that match the phone's magnetic system within the main material of the protective case (such as TPU, PC, silicone, leather, etc.) to achieve magnetic alignment and wireless charging. MagSafe (meaning a technology based on permanent magnet arrays for magnetic alignment and accessory fixation, while also accommodating wireless charging alignment) typically features a ring of magnets on the back of the phone. To ensure the stability of the attachment and the efficiency of wireless charging after assembly, a magnetic ring or a high-permeability sheet (commonly known as a metal sheet) is configured inside the phone case to form a complete magnetic circuit, ensuring the coupling performance between the phone, phone case, and external accessories.

[0003] Existing testing methods for this type of mobile phone case mainly include appearance and size inspection, magnetic field strength and polarity distribution testing (e.g., using a point-type gaussmeter or a two-dimensional Hall array), attraction or pull-off tests to assess magnetic stability, and wireless power coupling and temperature rise verification on actual devices or dedicated fixtures. These methods have advantages such as ease of implementation, low testing cost, and suitability for mass production applications, and can screen out obviously defective products. However, existing methods are mostly based on a single detection domain, such as relying solely on magnetic field distribution thresholds or solely on electrical coupling parameters, which lack a consistent correlation. This separate testing mode makes it difficult to identify some hidden defects in a timely manner. For example, local magnet polarity assembly errors or missing parts may not be effectively exposed in the overall magnetic field diagram, but may have already caused deviations in wireless coupling parameters; poor adhesion or misalignment of magnetic ring inserts has limited impact on magnetic flux amplitude, but may cause a decrease in coupling efficiency; differences in material thickness and dielectric materials may not change the magnetic attraction strength, but may cause reduced charging efficiency or heat generation problems. Single-domain detection methods cannot guarantee the consistency between magnetic field characteristics and electrical coupling performance, resulting in situations where the magnetic field characterization is normal but the electrical coupling is abnormal, making it impossible to reliably identify and locate defects during production line inspection. Therefore, how to accurately identify and locate hidden defects within a short inspection cycle without relying on actual equipment is a problem that urgently needs to be solved in this field. Summary of the Invention

[0004] The main objective of this invention is to solve the technical problems of existing mobile phone case inspection with ring magnetic components, which are usually limited to single parameter measurement in the magnetic or electric domains. These problems include the inability to quickly detect assembly offsets, lack of magnetism, or polarity abnormalities under production line conditions, insufficient detection dimensions for sector-level positioning, easy misjudgment of results, and difficulty in combining with geometric constraints.

[0005] To achieve the above objectives, embodiments of this application provide a method for detecting mobile phone cases, comprising: Based on the relationship between the ring magnetic component of the phone case and the geometric reference of the case, the position and angle of the phone case are corrected in the reference plane to obtain the attitude reference. Under the attitude reference, the magnetic flux density of the annular region corresponding to the annular magnetic component is collected, and the annular region is divided into multiple sectors to obtain the magnetic flux density and polarity information of each sector. Based on the magnetic flux density and polarity information of each sector, and combined with the geometric relationship of the annular region, predicted values ​​of wireless power transmission coupling parameters are generated, wherein the coupling parameters include at least one of resonant frequency, quality factor, or equivalent series resistance. Under preset signal conditions, the measured values ​​of the wireless power transmission coupling parameters of the mobile phone case were obtained. The difference between the predicted value and the measured value is calculated, and the difference is weighted and distributed to each sector according to the magnetic flux density and polarity information of each sector to obtain the sector-level defect location result of the annular magnetic component.

[0006] To achieve the above objectives, this application also proposes a detection device for mobile phone cases, comprising: The attitude correction module is used to correct the position and angle of the phone case in the reference plane based on the relationship between the ring magnetic component of the phone case and the geometric reference of the phone case, so as to obtain the attitude reference. The magnetic flux acquisition module is used to acquire the magnetic flux density of the annular region corresponding to the annular magnetic component under the attitude reference, and to divide the annular region into multiple sectors to obtain the magnetic flux density and polarity information of each sector. The prediction generation module is used to generate predicted values ​​of wireless power transmission coupling parameters based on the magnetic flux density and polarity information of each sector and the geometric relationship of the annular region. The coupling parameters include at least one of resonant frequency, quality factor, or equivalent series resistance. The measured acquisition module is used to acquire the measured values ​​of the wireless power transmission coupling parameters of the mobile phone case under preset signal conditions. The defect location module is used to calculate the difference between the predicted value and the measured value, and to distribute the difference to each sector in an angular position weighted manner according to the magnetic flux density and polarity information of each sector, so as to obtain the sector-level defect location result of the annular magnetic component.

[0007] To achieve the above objectives, this application also proposes a detection device for mobile phone cases, comprising: a memory and at least one processor, wherein the memory stores instructions, and the memory and the at least one processor are interconnected via a circuit; the at least one processor invokes the instructions in the memory to cause the detection device for mobile phone cases to perform the steps of the above-described detection method for mobile phone cases.

[0008] To achieve the above objectives, embodiments of this application also propose a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the steps of the above-described method for detecting mobile phone cases.

[0009] The technical solution provided in this application, based on the geometric reference relationship between the annular magnetic component and the housing, completes position and angle correction in a reference plane to obtain an attitude reference. Thus, the phone housing under test undergoes subsequent processing in the same coordinate system, eliminating angular and positional differences between samples caused by placement errors. Subsequently, under the attitude reference, magnetic flux density is collected in the annular region corresponding to the annular magnetic component, and divided into multiple sectors according to polarity reversal, forming an angular sequence containing magnetic flux density and polarity information. This sequence corresponds one-to-one with the annular geometry, preserving the constraint of the radial thin-walled structure on the near-field magnetic circuit while also depicting the distribution characteristics of alternating polarization in the angular direction. In the same reference plane, based on the sector magnetic flux density and polarity information combined with the annular geometric relationship, predicted values ​​of wireless power transmission coupling parameters are generated. The predicted values ​​are bound to the structural priors, representing the electrical response that the coupling should exhibit under the current attitude and annular distribution. Measured values ​​of the coupling parameters are obtained under preset signal conditions consistent with the aforementioned attitude, ensuring that the two types of quantities are in a comparable working condition. The difference between the predicted and measured values ​​is calculated, and the difference is weighted and distributed to each sector according to the magnetic flux density and polarity information of each sector, and the sector-level defect location result is output.

[0010] The key to solving the problem of identifying and locating hidden defects without relying on actual equipment lies in tightly constraining magnetic domain information, toroidal geometry, and electrical response within the same coordinate system and operating conditions. Attitude reference pulls each sample back to a unified reference, making subsequent magnetic domain acquisition and electrical quantity generation comparable. Sector-based magnetic flux density and polarity information explicitly transform the alternating polarization and ring width limitations of the toroidal component into an angular sequence, ensuring that the predicted quantity is not an empirical threshold but an expected value derived from the structure and magnetization distribution. The measured values ​​obtained under preset signal conditions have a one-to-one correspondence with the predicted values, and the difference is no longer mixed with attitude or operating condition variations. Weighting the difference by angular position and allocating it to sectors then returns cross-domain inconsistencies to specific structural coordinates: if the difference exhibits a pattern of polarity inconsistency and prominent amplitude in a few sectors, it points to polarity misalignment or lack of magnetism; if the difference changes in phase within a continuous angular interval and shows a continuous increase, it points to assembly misalignment or abnormal spacing. The entire link is constrained by ring geometry and sector sequence to verify the consistency between seemingly normal magnetic field distribution and abnormal coupling response. Within the acquisition and calculation intensity allowed by the production line cycle, the inconsistency is accurately assigned to sector-level coordinates, thereby achieving the discovery and location of hidden defects. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0012] Figure 1 This is a schematic diagram of one embodiment of the detection method for mobile phone cases in this invention; Figure 2 This is a schematic diagram of one embodiment of the detection device for mobile phone cases in this invention; Figure 3 This is a schematic diagram of one embodiment of a testing device for mobile phone cases according to an embodiment of the present invention.

[0013] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0014] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0015] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a specific posture. If the specific posture changes, the directional indicators will also change accordingly.

[0016] Furthermore, the use of terms such as "first" and "second" in this invention is for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the term "and / or" throughout the text includes three solutions; taking A and / or B as an example, it includes technical solution A, technical solution B, and a technical solution that simultaneously satisfies A and B. Furthermore, the technical solutions of various embodiments can be combined with each other, provided that they are feasible for those skilled in the art. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0017] In recent years, phone cases with MagSafe magnetic rings or metal plates have gradually become mainstream products in mobile terminal accessory design. The structural feature of these cases is the embedding of a set of ring-shaped permanent magnets within the main body material of the protective case (such as TPU, PC, silicone, or leather), or the placement of a high-permeability magnetically conductive sheet in corresponding positions. These components match the magnetic system on the back of the phone, and their core function is to achieve magnetic alignment, allowing the phone case to fit securely against the back of the phone, further ensuring spatial alignment and energy transfer efficiency during wireless charging. Because the MagSafe system itself has both mechanical fixing and electromagnetic coupling functions, phone cases with embedded magnetic rings or metal plates have become an important way to improve user experience and device compatibility, thus bringing new requirements for their testing and quality control.

[0018] While existing detection methods are widely used in actual production, they mostly remain at the level of separate detection, such as assessing polarity solely through magnetic field distribution or observing charging efficiency simply by applying a test current to a physical device. While these methods are simple to operate and cost-effective, they have significant shortcomings: single magnetic field detection is insufficient to reflect electrical anomalies in wireless power transmission, and single electrical tests often rely on physical devices and are difficult to directly pinpoint defects. Especially in mass production environments, some hidden problems are easily overlooked. For example, local magnet misalignment or missing magnets may be masked in the overall magnetic field image, but have already caused deviations in coupling parameters; loose or misaligned magnetic rings may not significantly change the magnetic flux amplitude, but can lead to a decrease in electrical response; variations in material thickness or dielectric inhomogeneity have limited impact on magnetic attraction, but can cause power loss and increased heat generation. The limitations of a single detection domain make it difficult to quickly identify and accurately locate contradictory situations where the magnetic field performance is normal but the electrical performance is abnormal in current processes.

[0019] Against this backdrop, it is particularly necessary to propose a method to establish a consistent correlation between magnetic domain information and electrical coupling parameters. This scheme acquires sector-based magnetic flux density data of a toroidal magnetic component under a unified attitude reference, generates predicted wireless power coupling parameters based on geometric relationships, and compares these parameters with measured parameters obtained under preset signal conditions. Then, sector-level defect localization is achieved through difference allocation. This not only overcomes the limitations of traditional single-domain detection but also stably reveals localized hidden defects within the production cycle without relying on actual devices (i.e., actual mobile phones, used for direct verification in real-world usage, but unsuitable for large-scale mass production), thus significantly improving the accuracy and reliability of detection.

[0020] Specifically, Figure 1 This is a flowchart illustrating a method for detecting a mobile phone case according to an embodiment of this application. In this embodiment, the method includes: Please see Figure 1 Based on the annular magnetic component of the phone case and the geometric reference relationship between the phone case and the case, the position and angle of the phone case are corrected in the reference plane to obtain the attitude reference. In one embodiment of the present invention, the step of correcting the position and angle of the phone case in a reference plane based on the annular magnetic component of the phone case and the geometric reference relationship of the phone case to obtain an attitude reference includes: Within the reference plane, the initial center position and angle zero point of the annular region corresponding to the annular magnetic component are determined based on the geometric reference relationship between the annular magnetic component and the lens opening and / or the edge of the housing. Based on the initial center position and angle zero point, and utilizing the concentricity constraint between the inner and outer edges of the annular area, the phone case is translated and rotated within the reference plane to obtain an attitude reference.

[0021] The following is a detailed description of the steps involved in the above embodiments: Specifically, the reference plane refers to the unified two-dimensional reference plane used for all geometric positioning and subsequent data processing; the annular region refers to the closed loop corresponding to the annular magnetic component within the reference plane; the initial center position refers to the coordinates of the center of the annular region within the reference plane; and the zero angle point refers to the reference direction pointing from the initial center position towards the geometric reference target of the housing. In implementation, the geometric contour data required for the geometric reference relationship between the annular magnetic component and the lens opening and / or the edge of the housing is first obtained, including the boundary point set of the inner and outer edges of the annular region, the outer boundary curve of the lens opening, and the baseline of the long or short side of the housing. According to the product drawing constraints, the relative position of the lens opening to the annular magnetic component is a fixed quantity, and a fixed relative relationship also exists between the edge of the housing and the annular region. Using this fixed relationship as a constraint, the initial center position of the annular region is calculated within the reference plane, and the zero angle point is determined by the direction pointing from the initial center position to the nearest boundary of the lens opening. When multiple openings exist, the reference vector formed by the main camera opening and the long side of the housing is selected to determine the zero angle point, ensuring consistency and reusability of the direction selection. For example, on a triple-camera phone case, the line connecting the center of the main camera aperture and the center of the annular area determines the zero angle point, and the long side of the case is used to eliminate directional ambiguity caused by left-right symmetry. This step unifies the benchmark differences caused by the placement, cutting, or edge shape of different parts into the same coordinate frame, making subsequent sector division and angular processing comparable. An equivalent implementation can use pre-set positioning marks or decorative grooves on the case as geometric reference targets. While maintaining a fixed geometric relationship with the annular magnetic component, the initial center position and zero angle point can also be determined, which is suitable for models without lens apertures or with the apertures obscured.

[0022] Inner and outer edges refer to the inner and outer boundary curves of the annular region; concentricity constraint means that the inner and outer edges share the same center in the reference plane and the ring width meets the product tolerance window; attitude reference refers to the unique position and angle state used for subsequent processing in the reference plane. During implementation, the initial center position and angle zero point obtained in the previous step are used as the starting solution. Translation and rotation registration are performed on the phone case in the reference plane: the radius values ​​of the inner and outer edges are collected at several angular sample positions, the radial deviation relative to the initial center position is calculated, and the radius dispersion of the inner and outer edges is minimized through translation correction, thus approximating the same center; after translation convergence, a small-angle rotation is performed around the initial center position to ensure that the angle zero point is consistent with the geometric reference target of the case, and it is checked whether the radius difference between the inner and outer edges falls within the preset tolerance range. If there are local gaps or local deformations, discontinuous arc segments are discarded, and the registration is completed only based on continuous arc segments. The output is an attitude reference, including translation and rotation angles within the reference plane, used to constrain subsequent magnetic flux density acquisition and sector angular sequence generation. This processing decouples translation and rotation errors by simultaneously utilizing information from both the inner and outer boundaries, ensuring unique center and direction, and maintaining a stable attitude state even with local boundary gaps. An equivalent implementation can perform registration using only the outer edge when the inner boundary is ambiguous, or only the inner edge when the outer edge is partially occluded. When both boundaries are available, joint registration using both boundaries achieves higher geometric consistency. All three methods output a consistent attitude reference while adhering to concentricity constraints and tolerance windows.

[0023] Please continue reading. Figure 1 Under the attitude reference, the magnetic flux density of the annular region corresponding to the annular magnetic component is collected, and the annular region is divided into multiple sectors to obtain the magnetic flux density and polarity information of each sector. In one embodiment of the present invention, the step of acquiring magnetic flux density of the annular region corresponding to the annular magnetic component under the attitude reference, and dividing the annular region into multiple sectors to obtain the magnetic flux density and polarity information of each sector includes: Under the stated attitude reference, the effective radial bandwidth is defined based on the inner and outer edges of the annular region, and the magnetic flux density of the annular region is collected within the effective radial bandwidth. Along the angular direction of the annular region, multiple sectors are divided according to the polarity reversal point of the magnetic flux density. Within each sector, the acquisition results within the effective radial bandwidth are normalized to determine the magnetic flux density and polarity information of the sector.

[0024] The following is a detailed description of the steps involved in the above embodiments: Specifically, the effective radial bandwidth refers to the radial interval enclosed by the inner and outer edges of the annular region under the attitude reference; magnetic flux density acquisition refers to obtaining data on the variation of the normal magnetic flux density of the annular region with the angular direction and radius under the condition that the reference plane is fixed and the attitude reference remains unchanged. In implementation, using the aforementioned initial center position and angular zero point as coordinate references, the inner and outer radii are calculated, and discrete radial sampling sequences are formed from the inner to the outer edges according to the radius, with sampling angles arranged at equal intervals along the angular direction. For each angle, the sampling radius is limited to fall only between the inner and outer edges, obtaining the radial magnetic flux density sequence for that angle. When there are gaps or unclear areas at the boundary, discontinuous arc segments are removed, and the radii within the continuous arc segments are interpolated and supplemented before sampling. To reduce boundary effects, a fixed proportion of inner and outer diameter safety margins can be introduced without changing the bandwidth definition, keeping the effective sampling radius away from boundary burrs. In batch testing, the safety margin can be set as a percentage of the ring width to balance anti-interference and coverage. The output of this step is a radial flux density sampling matrix arranged angularly, used for subsequent polarity reversal point search and sector processing. Since the sampling is strictly limited by the inner and outer edges, the collected data only reflects the near-field contribution of the toroidal magnetic component, avoiding the introduction of external decorations, supports, etc., into the results and ensuring the comparability of subsequent angular comparisons. In an equivalent implementation, radial sampling can be changed to taking values ​​on multiple equidistant concentric rings between the inner and outer edges; its output is equivalent to the radial discrete column, obtaining the same input for subsequent processing.

[0025] A polarity reversal point refers to the angular position where the sign of the normal magnetic flux density changes and the amplitude exceeds a preset noise threshold when traversing the angular direction of the annular region. A sector refers to a closed angular interval enclosed by two adjacent polarity reversal points. Normalization processing refers to the in-band scaling of radial magnetic flux density data at different angular positions under the same attitude reference, making different angular positions comparable to different samples. In implementation, the aforementioned sampling matrix is ​​first subjected to sign determination and noise suppression according to the angular position to obtain the principal polarity mark and effective samples in the band for each angular position. The zero-crossing position of the sign from positive to negative or from negative to positive is detected along the angular direction. Linear interpolation is used to determine the polarity reversal point angle, and the entire ring is divided into multiple sectors in sequence, with the beginning and end closed at 360 degrees. Subsequently, within each sector, in-band normalization is performed on each of its included corner positions: the in-band average or in-band integral of the radial flux density sequence for that corner position is calculated and divided by the bandwidth to obtain the representative value of the corner position; the algebraic average of the representative values ​​of the corner positions within the sector is used as the sector flux density information, and the sign with the higher frequency of occurrence of the dominant polarity within the sector is used as the sector polarity information. The output of this processing is sector flux density information and polarity information arranged in angular order, which are used to subsequently generate coupling parameter prediction values ​​and difference weighted allocation. The reason for using polarity reversal points to establish boundaries and performing in-band normalization is that toroidal magnetization exhibits alternating polarization and has a limited toroidal width. By using polarity-dominated partitioning and in-band scale unification, the influence of local noise and boundary spikes on angular comparisons can be minimized. In an equivalent implementation, the in-band representative value can also be replaced by the in-band median or in-band quantile to enhance robustness to isolated outliers. As long as the output is still sector flux density information and polarity information, and the beginning and end closure and the boundary of the flip point are maintained, the above equivalent scheme is functionally equivalent to this implementation.

[0026] Please continue reading. Figure 1 Based on the magnetic flux density and polarity information of each sector, and combined with the geometric relationship of the annular region, predicted values ​​of wireless power transmission coupling parameters are generated, wherein the coupling parameters include at least one of resonant frequency, quality factor, or equivalent series resistance. In one embodiment of the present invention, generating predicted values ​​of wireless power transmission coupling parameters based on the magnetic flux density and polarity information of each sector, combined with the geometric relationship of the annular region, includes: Based on the magnetic flux density information of each sector, the acquisition results within the radial interval defined by the inner and outer edges of the annular region are radially integrated to determine the equivalent gap factor. Based on the magnetic flux density and polarity information of each sector, the magnetic flux density information of each sector is weighted and accumulated in angular order and combined with the polarity direction to determine the equivalent coupling area, and the angular registration deviation is determined based on the peak angular position of the sector magnetic flux density and the polarity reversal boundary. The equivalent gap factor, the equivalent coupling area, and the angular registration deviation are combined to generate predicted values ​​for wireless power transmission coupling parameters, wherein the coupling parameters include at least one of resonant frequency, quality factor, or equivalent series resistance.

[0027] The following is a detailed description of the steps involved in the above embodiments: Specifically, the equivalent gap factor refers to a normalized quantity reflecting the equivalent air gap size of the annular magnetic component to the near-field magnetic circuit within a radial interval defined by the inner and outer edges of the annular region under attitude reference; radial integral refers to the numerical summation or area-based processing of the collected magnetic flux density data along the radial direction. In implementation, the radial magnetic flux density sampling sequence obtained in the previous steps is read on a sector-by-sector basis, with the sampling radius limited between the inner and outer edges, and numerical integration is performed at a fixed radius step size. To eliminate the influence of boundary burrs and shell surface undulations, a safety margin between the inner and outer diameters can be set without changing the bandwidth definition, allowing the integration interval to avoid the boundary by a small distance. The integration result is normalized according to the ring width or effective bandwidth to obtain a dimensionless scale independent of the sector; when isolated outliers exist within the same sector, trapezoidal integration is used in conjunction with outlier removal rules to make the integration insensitive to local anomalies. The output is a sequence of equivalent gap factors corresponding to each sector, which is used to subsequently combine with angular vectors to generate coupling quantities. The above processing can characterize the equivalent air gap because the thin-walled structure of the annular component allows the radial magnetic flux density variation with radius to directly reflect the average level of the magnetic circuit reluctance. Through integration and normalization, local fluctuations are converted into equivalent effects on the coupling distance, making it suitable for subsequent correlation with electrical parameters. In the equivalent implementation, the radial integral can also be approximated by the in-band average on several concentric sampling rings, or by the weighted average of the inner and outer representative points instead of the full-band integral. As long as the output is still the equivalent gap factor of the sector and is limited by the inner and outer edges, the same purpose can be achieved.

[0028] It should be noted that the equivalent coupling area refers to the angular algebraic area formed by the magnetic flux density information of each sector combined with the polarity direction under the attitude reference, reflecting the effective overlap strength of the ring component with the coupling coil; the angular registration deviation refers to the angular deviation of the peak angular position of the sector magnetic flux density relative to the angle zero point and the polarity reversal boundary, reflecting the alignment status of the ring component in the angular direction. In implementation, the magnetic flux density and polarity information of each sector are read sequentially along the angular direction. The magnetic flux density is assigned a positive or negative sign according to the polarity direction and weighted according to the sector angular width. Algebraic weighted summation is performed over the entire ring range to obtain the equivalent coupling area. Then, the angular registration deviation is calculated: the peak angular position of the signed sector magnetic flux density sequence is extracted and compared with the angle zero point to obtain the main offset; if the peak falls in the vicinity of the polarity reversal boundary, the angular position is corrected according to the ratio of the angular widths of the two sectors to avoid misjudgment caused by boundary crossing. For multi-peaked samples, the peak with the largest amplitude can be selected as the main peak, or the angular position with the greatest correlation to the fixture reference sequence can be used as the offset angle. The above output consists of two quantities: the equivalent coupling area and the angular registration bias. Using signed angular accumulation combines the positive and negative contributions of alternating polarization onto the same scale, directly reflecting the algebraic magnitude of the effective coupling surface. Introducing the angular registration bias quantifies the toroidal degree of freedom of rotational misalignment, facilitating subsequent quantification and prediction of different electrical parameters. In the equivalent implementation, the weights can be added to the angular width weights along with the sector representative value amplitude weights, or the sector sequence and the preset reference sequence can be angularly slid summed using a window correlation method to obtain the equivalent coupling area, which is equivalent to weighted accumulation.

[0029] The predicted values ​​of wireless power transmission coupling parameters refer to at least one of the following: resonant frequency, quality factor, or equivalent series resistance, derived from three types of quantities—equivalent gap factor, equivalent coupling area, and angular registration deviation—according to preset calculation rules under attitude reference and reference plane conditions. In implementation, firstly, the equivalent gap factor is used as a distance-related quantity to estimate the impact of the equivalent spacing of the coupling system on the resonant point; secondly, the equivalent coupling area is used as a coupling strength quantity to estimate the dominant term of energy exchange and loss; and thirdly, the angular registration deviation is used as a registration correction quantity to correct for the angular mismatch effect of frequency offset and quality factor. After normalization, the three types of quantities are substituted into the preset calculation rules: the prediction of the resonant frequency is based primarily on the equivalent gap factor, superimposed with the correction term for the angular registration deviation; the prediction of the quality factor is based primarily on the equivalent coupling area, superimposed with the registration correction term; and the prediction of the equivalent series resistance is based primarily on the combination of the equivalent coupling area and the equivalent gap factor, reflecting the combined impact of coupling strength and distance on the equivalent loss. The output is the predicted value of the coupling parameters consistent with the desired operating condition. The reason for using a three-dimensional approach is that the prior knowledge of the annular component in the radial, angular, and polar structures corresponds to three physical constraints: distance, effective overlap, and alignment, respectively. A single quantity cannot fully reflect the response of the coupled circuit. The above calculation rules can determine the coefficient range based on the known parameters of the standard sample during the fixture calibration stage, and remain unchanged after mass production, taking into account both reproducibility and cycle time requirements. In the equivalent implementation, one or two of the predicted quantities can be selected for output according to product family differences, or the weights of the above three quantities can be configured at the model level. As long as the equivalent gap factor, equivalent coupling area, and angular registration deviation are still used as inputs, and the output is at least one of the resonant frequency, quality factor, or equivalent series resistance, it is consistent with this scheme.

[0030] Please continue reading. Figure 1 Under preset signal conditions, the measured values ​​of the wireless power transmission coupling parameters of the mobile phone case are obtained. In one embodiment of the present invention, obtaining the measured value of the wireless power transmission coupling parameter of the mobile phone case under preset signal conditions includes: Under preset signal conditions, and at the zero angle and nominal normal distance corresponding to the attitude reference, the wireless power transmission coupling parameters are collected once to obtain the baseline measured value. Under preset signal conditions, while keeping the attitude reference and reference plane unchanged, symmetrical angular sweeping is performed with the zero angle point as the center according to the preset angular offset step size, and the first measured response of the wireless power transmission coupling parameters as the angular position changes is recorded. Under preset signal conditions, while keeping the attitude reference and reference plane unchanged, the nominal normal distance between the annular region and the reference plane is adjusted back and forth according to a preset spacing offset step, and the second measured response of the wireless power transmission coupling parameters as the normal distance changes is recorded. The baseline measured value, the first measured response, and the second measured response are combined to form a set of measured values ​​for the wireless power transmission coupling parameters.

[0031] The following is a detailed description of the steps involved in the above embodiments: Specifically, the preset signal conditions refer to the unified excitation and sampling settings used to collect wireless power transmission coupling parameters, including the excitation power level (e.g., 1W), frequency sweep window or fixed operating frequency (e.g., 100 kHz to 500 kHz range), sampling bandwidth, and sampling duration. These conditions remain consistent throughout the testing process to ensure the comparability of sampling results from different batches or locations. The baseline measured value refers to the reference quantity obtained by collecting wireless power transmission coupling parameters (at least one of resonant frequency, quality factor, or equivalent series resistance, or a combination thereof) under the conditions of the angular zero point and normal nominal distance corresponding to the attitude reference. During implementation, the phone case is fixed on the reference plane, the attitude reference is locked, and a stable sampling is completed after the preset signal conditions are applied. To suppress instantaneous fluctuations, 3 to 5 consecutive samplings can be performed within 1 second, and the median is taken as the baseline measured value. At the same time, the angular zero point and normal nominal distance are recorded as traceability conditions. This step outputs the baseline anchor point, providing a reference for subsequent alignment with the offset experiment. By obtaining a baseline under uniform attitude and operating conditions, the effects of excitation variations and attitude deviations can be eliminated, ensuring that the difference reflects only the characteristics of the toroidal magnetic component and the shell structure. In an equivalent implementation, a gradual frequency sweep and locking of the resonant point under constant power input can also be used to acquire the corresponding impedance readings. The baseline obtained is equivalent to the one described above in terms of purpose and effect.

[0032] The angular offset step size refers to the fixed angular increment when offsetting around the zero angular point, typically ranging from 0.5° to 5°, ensuring both resolution and sampling efficiency. The first measured response refers to the data set of wireless power transmission coupling parameters recorded at a series of angular offset positions, showing the changes in angular position. During implementation, the attitude reference and reference plane are kept constant. A symmetrical angular offset sequence is set with the zero angular point as the center, and adjustments are made point by point to the target angular position. Preset signal conditions are applied at each position, and parameter readings are collected. To avoid angular positioning errors caused by mechanical backlash, approximately 200 milliseconds are allowed to stand still after each positioning before sampling. To suppress the influence of environmental drift, two symmetrical sweeps in both the forward and reverse directions can be performed, and the average value of the readings at the same angular position is taken. This step outputs the first measured response, i.e., the corresponding sequence of angular position and coupling parameters, used to characterize the sensitivity of electrical parameters to changes in angular registration. Through symmetrical sweeping, the angular periodicity caused by the polarity reversal of the toroidal magnetic component can be directly revealed, providing angular degrees of freedom for subsequent difference decomposition. In an equivalent implementation, constant-speed continuous rotation and synchronous sampling can also be used, followed by diagonal resampling to obtain a discrete sequence, the result of which is consistent with point-by-point scanning.

[0033] The spacing offset step size refers to the fixed increment when offsetting around the nominal normal distance in the normal direction, typically set between 0.1 mm and 1 mm to ensure coverage of the effective response range without adding unnecessary sampling points. The second measured response refers to the data set of wireless power transmission coupling parameters varying with the normal distance at a series of normal positions. During implementation, keeping the attitude reference and reference plane constant, a symmetrical offset sequence is set around the nominal normal distance, and adjustments are made point-by-point to the target distance. Preset signal conditions are applied at each position, and parameter readings are collected. To reduce the impact of mechanical backlash or drive hysteresis, sampling is performed once in both the approaching and receding directions at each position, and the results are averaged. To ensure stability, sampling can be repeated 2 to 3 times at each position, and the median value is stored. This step outputs the second measured response, i.e., the corresponding sequence of normal distance and coupling parameters, used to characterize the sensitivity of electrical parameters to changes in the equivalent gap. Through iterative adjustment, deviations caused by unidirectional drive can be eliminated, and a stable response curve is obtained in the linear range. In an equivalent implementation, constant-speed reciprocating motion with synchronous sampling can also be used, and then the data can be resampled into discrete points based on the distance calibration curve. The resulting data is equivalent to the point-by-point reciprocating method.

[0034] The measured value set is a collection formed by merging baseline measured values, the first measured response, and the second measured response using a unified identifier. Each record includes angular position or normal distance, a preset signal condition identifier, and the corresponding coupling parameter reading. During implementation, firstly, the timestamps and operating condition identifiers of the three types of data are checked for consistency, and abnormal records that do not meet the preset signal conditions are removed. Secondly, the first measured response is sorted by angular position, and the second measured response is sorted by normal distance, and aligned with the angular zero point and nominal normal distance corresponding to the attitude reference. Finally, the baseline measured value is inserted as a reference point into the zero point position of the two types of responses, or it is retained independently in the data table. After merging, the measured value set can be stored in a two-dimensional table or database format for easy subsequent difference calculation and weighted allocation. The output of this step is a complete data set, enabling comparison between predicted and measured values ​​in the same coordinate system, thus ensuring the accuracy and traceability of the difference allocation. In an equivalent implementation, the measured value set can also be exported as a standardized file format (such as a CSV file) for direct integration with the production line inspection system, achieving the same effect as the storage method described above.

[0035] Please continue reading. Figure 1 The difference between the predicted value and the measured value is calculated, and the difference is weighted and distributed to each sector according to the magnetic flux density and polarity information of each sector to obtain the sector-level defect location result of the annular magnetic component.

[0036] In one embodiment of the present invention, the step of calculating the difference between the predicted value and the measured value, and distributing the difference to each sector in an angular position weighted manner according to the magnetic flux density and polarity information of each sector to obtain the sector-level defect location result of the annular magnetic component includes: Based on the predicted value and the measured value set, under preset signal conditions and while keeping the attitude reference unchanged, the difference in wireless power transmission coupling parameters is calculated to obtain the difference amount used for allocation. Based on the magnetic flux density and polarity information of each sector, the sector weight coefficients are calculated according to the angular order of the annular region, so that the sector weight coefficients simultaneously reflect the magnitude of the magnetic flux density and the polarity direction, and satisfy the beginning and end continuity constraint of the annular region in the angular direction, thus obtaining a weight sequence arranged in the angular position. Based on the difference amount and the weight sequence arranged by angular position, the difference amount is weighted and allocated by angular position to obtain the difference contribution sequence corresponding to each sector. Based on the difference contribution sequence and the polarity information of each sector, the distribution pattern of the difference contribution in the angular direction is identified. If a difference contribution with inconsistent polarity and prominent amplitude appears in a single sector or a few discrete sectors, the corresponding sector is determined to be a misalignment or magnetic deficiency positioning result. If a difference contribution with consistent polarity and continuously increasing amplitude appears in a continuous angular interval, the continuous angular interval is determined to correspond to an assembly offset or abnormal spacing positioning result. The output includes sector-level defect location results containing sector index and defect type.

[0037] The following is a detailed description of the steps involved in the above embodiments: It should be noted that the difference refers to the numerical deviation between the predicted value and the measured value set for the same coupling parameter under the same operating conditions, while maintaining the attitude reference unchanged and under preset signal conditions. The predicted value is derived from the results generated above based on sector magnetic flux density and polarity information combined with the geometric relationship of the annular region; the measured value set consists of the baseline measured value, the first measured response, and the second measured response. In practice, the coupling parameter to be compared (one of the resonant frequency, quality factor, or equivalent series resistance) is first selected. At the zero angle and the nominal normal distance corresponding to the attitude reference, the absolute difference or relative difference is calculated between the baseline measured value and the corresponding predicted value. To improve robustness, the median or three-point moving average is used for repeated sampling within a short time window before the difference is calculated. If multiple coupling parameters are processed simultaneously, their respective difference values ​​are obtained and then allocated and identified in parallel. This processing compresses the cross-domain inconsistencies caused by the ring-shaped component into a scalar or vector aligned with the reference attitude, ensuring that subsequent angular allocation is dominated only by structural factors. By adopting a unified operating condition and attitude, it avoids contamination of the differential quantity by power fluctuations, temperature drift, or mechanical vibration. In an equivalent implementation, the differential quantity can be expressed as a weighted relative difference, i.e., normalized based on the nominal parameter value or mass production calibration value, facilitating horizontal comparisons between different models or different parameter dimensions.

[0038] Sector weighting coefficients characterize the angular distribution ratio of the difference in each sector. Their composition must simultaneously reflect the magnitude of magnetic flux density and polarity direction, and satisfy the continuity constraint of the beginning and end of the ring region's angular direction. In implementation, the magnetic flux density and polarity information of the sectors arranged angularly are read. First, the magnetic flux density amplitude is normalized, and then a sign is assigned based on the polarity information, ensuring a continuous sequence of signed amplitudes across the entire ring. Subsequently, a continuity constraint is introduced, treating the first and last sectors equally in the angular direction. If necessary, linear allocation proportional to the angular width is applied to the neighborhood of the flip boundary to mitigate weight breaks caused by boundary jumps. Finally, the signed amplitudes are weighted according to the angular width of each sector and normalized overall, ensuring that the sector weighting coefficients are ordered algebraically and conserved geometrically, and outputting a weight sequence arranged angularly. This process encodes the ring width, polarity pattern, and angular coverage into the weights, ensuring that subsequent allocation follows the actual constraints of magnetic-geometric coupling. In an equivalent implementation, the signed magnitude can also be obtained by applying a sign function to the sector representative value, or by using an angular moving average to further smooth the weight sequence. As long as the beginning and end are continuous and consistent with the polarity assignment, an equivalent weight sequence can be obtained.

[0039] Weighted allocation refers to decomposing the difference amount into a difference contribution sequence corresponding to each sector in the angular direction based on the difference amount and a weight sequence arranged angularly. In implementation, the weight sequence is first normalized to ensure its algebraic sum across the entire loop is one. When the difference amount is a scalar, the difference contribution is obtained by multiplying the difference amount by the weight of each sector one by one. When the difference amount is a vector (multiple parameters are processed in parallel), the same allocation is performed on the difference amount for each parameter, and linear combinations or hierarchical outputs are performed along the parameter dimensions as needed. To avoid numerical drift, the summation of the difference contributions for each sector after allocation can be checked to ensure it returns to the original difference amount. To suppress occasional fluctuations at single points, a first-order angular smoothing can be applied to the difference contribution sequence, with a smoothing radius not exceeding the angular width of a single sector. This process decomposes global inconsistencies into local deviations based on structural priors, ensuring that any subsequent positioning conclusions can be traced back to specific sector coordinates. In an equivalent implementation, a cumulative quota can be allocated sector by sector along the angular direction until the difference is exhausted. The result is numerically equivalent to the proportional allocation.

[0040] Differential contribution pattern recognition is used to determine the type and extent of defects from the joint distribution of the differential contribution sequence and the polarity information of each sector. In implementation, a sector neighborhood window (e.g., one or two adjacent sectors) is first constructed, and the ratio and sign relationship between the differential contribution of each sector and the algebraic mean of its neighborhood are calculated. When the ratio of a single sector or a few discrete sectors is significantly higher than the threshold, and its sign is inconsistent with the polarity direction of adjacent sectors, it is determined to be a misalignment or lack of magnetism, and the location result is output using the sector index. When a differential contribution shows a monotonically or nearly monotonically increasing trend along the angular direction with the same polarity as neighboring sectors within a continuous angular interval, it is determined to be an assembly offset or spacing abnormality, and the location result is output using the start and end indices of this continuous interval. The threshold can be determined through production line calibration samples and fixed in the algorithm configuration in the form of percentiles or multiple factors. To avoid false alarms, a dual constraint of minimum interval length and minimum slope can be added to the trend judgment. This identification mechanism utilizes structural priors of polarity consistency and angular continuity to distinguish between discrete anomalies and banded anomalies, forming discrimination rules that match actual assembly problems. In an equivalent implementation, the neighborhood ratio can be replaced with a median deviation or quantile difference measure, or a threshold criterion based on the angular change rate can be used, without changing the identification results.

[0041] The sector-level defect location result is a structured output containing sector index and defect type, with traceability information such as difference contribution amplitude, continuous interval range, and processing batch when necessary. During implementation, the discrete sectors and continuous intervals obtained from pattern recognition are recorded as two types of entries: discrete entries contain sector index and defect type fields, while continuous entries contain start sector index, end sector index, and defect type fields. All entries, along with their corresponding coupling parameter categories, preset signal condition identifiers, and attitude reference identifiers, are stored and output in the detection interface or data file. To facilitate production line closed-loop processing, the sector index and defect type can be transcribed into concise release codes or rework instructions, enabling direct interface with the execution system. This output brings the calculation results of cross-domain consistency checks down to the executable information granularity, supporting both batch statistics and single-piece diagnosis. In an equivalent implementation, the output can take the form of database records, standard CSV files, or fieldbus messages, as long as they contain sector indexes and defect types and can be associated with the aforementioned attitude and operating condition identifiers, they are equivalent to the above output method.

[0042] In one embodiment of the present invention, the step of calculating sector weight coefficients according to the magnetic flux density and polarity information of each sector and in angular order of the annular region, so that the sector weight coefficients simultaneously reflect the magnitude of magnetic flux density and polarity direction, and satisfy the beginning-end continuity constraint of the annular region in the angular direction, to obtain a weight sequence arranged in angular position, includes: Based on the magnetic flux density information of each sector, the acquisition results within the radial interval defined by the inner and outer edges of the annular region are radially normalized, and the radially normalized sector magnetic flux density sequence arranged by sector is output. Based on the polarity information of each sector, the radially normalized sector magnetic flux density sequence is assigned a sign, and the magnetic flux density contribution across the polarity reversal boundary is distributed according to the angular width ratio of adjacent sectors, and the signed sector magnetic flux density sequence is output. Under the angular sequence of the annular region, the sign sector magnetic flux density sequence is subjected to the first and last continuity constraint, and is adjusted according to the total normalization condition that the algebraic sum of each sector weight coefficient in the angular direction of the entire ring is one, to obtain the initial sector weight coefficient sequence. Based on the angular center position and angular width of each sector, the initial sector weight coefficient sequence is mapped to the angular position coordinates, and the weight sequence arranged according to the angular position is output.

[0043] The following is a detailed description of the steps involved in the above embodiments: Specifically, radial normalization refers to scaling the collected magnetic flux density data as a function of radius within each sector, defined by the inner and outer edges of the annular region, under an attitude reference, to ensure comparability between different sectors. In practice, a radial sampling column is first read from each sector, and samples falling within small margins near the inner and outer edges are removed to suppress boundary spikes. Then, in-band areaization or in-band averaging is performed on the remaining samples at a fixed radius step size. Subsequently, normalization is performed using the radial bandwidth of the sector to obtain a dimensionless representative value of the sector's magnetic flux density. If local sampling gaps exist in a sector, points can be interpolated in the radial direction according to the nearest radius before normalization. The output is a radially normalized sector magnetic flux density sequence arranged by sector, which will serve as input for the next step of symbol assignment and cross-boundary allocation. Radial normalization eliminates the differences in ring width and sampling density, bringing the amplitude of each sector back to a uniform scale, so that subsequent angular comparisons only reflect differences in magnetization distribution. In an equivalent implementation, the in-band areaization can be replaced by the in-band mean of multiple concentric equidistant trajectories, as long as the calculation range is limited by the inner and outer edges and the result returns to a dimensionless scale, which is equivalent to the above method.

[0044] Sign assignment refers to multiplying the representative value of each sector in the radially normalized sector flux density sequence by a sign factor of the polarity direction based on the polarity information of each sector, so that the value simultaneously reflects both amplitude and direction. Polarity reversal boundaries refer to angular boundaries where adjacent sectors have opposite polarities. In implementation, the representative value of each sector is first assigned a positive or negative sign according to its polarity information to obtain an initial signed amplitude. Then, at each polarity reversal boundary, the flux density contribution across the boundary is linearly distributed according to the angular width ratio of adjacent sectors: the signed amplitude within the boundary neighborhood is split into left and right sectors according to the angular width ratio on both sides to ensure that the algebraic sum remains unchanged and to reduce spurious peaks caused by boundary jumps. The angular range of the boundary neighborhood can be set to a fixed proportion not exceeding the angular width of either sector to avoid excessive diffusion. The output is a sequence of signed sector flux densities arranged by sector, which serves as input for subsequent weighting coefficient calculations. This processing merges direction and amplitude information and performs conserved distribution at reversal points, effectively suppressing discretization errors at partition boundaries. In an equivalent implementation, linear apportionment can be replaced by a smooth transition by applying triangular or Hanning weights within the boundary neighborhood, as long as algebraic sum conservation and polarity consistency are maintained, which is equivalent to the above approach.

[0045] The head-to-tail continuity constraint treats the first and last sectors as adjacent throughout the entire angular direction of the ring region, ensuring the signed sequence forms a closed loop in the angular direction. The total normalization condition ensures that the algebraic sum of the weight coefficients of each sector is one throughout the entire ring's angular direction. In implementation, the magnetic flux density of the signed sector is first used as the base amplitude, and an initial sector weighting is performed based on the angular width of each sector. Then, a closed-loop average or periodic neighborhood smoothing is applied to the first and last sectors to ensure a continuous transition at both ends. Subsequently, algebraic normalization is performed on all weights, ensuring the sum of all ring weights equals one, while retaining the weight sign to inherit polarity. If necessary, a lower limit for the weights can be set to prevent numerical instability caused by extremely small weights. The output is the initial sector weight coefficient sequence, used for the next step of mapping to angular position coordinates. Through angular width weighting and the head-to-tail closed loop, the weights reflect both sector coverage and satisfy the periodic constraints of the ring geometry, ensuring that subsequent allocation according to angular position is conserved and without interface jumps. In an equivalent implementation, closed-loop continuity can be achieved by periodic convolution smoothing, and algebraic normalization can also be accomplished by introducing a uniform scaling factor. The effects of both are consistent with the above-described processing.

[0046] The angular center position refers to the central angle of a sector in the angular direction, and the angular width refers to the angular span of a sector. During implementation, the initial sector weight coefficient sequence is mapped to a weight sequence arranged by angular position according to the angular center position of the corresponding sector. When only sector granularity is needed, the weights can be directly output using the angular center position as the discrete corner point. When alignment with the measured angular position is required, the weights can be segmented into constant values ​​or linearly interpolated within the angular coverage area of ​​each sector according to its angular width, and half-weighted splicing is used at the overlap of adjacent sectors to ensure continuity and conservation in the angular coordinates. If the measured angular positions are denser than the sectors, the sector weights can be resampled to the measured angular position set through interpolation, making the weight sequence correspond one-to-one with the measured response. The output is a weight sequence arranged by angular position, directly used for the angular weighted allocation of the difference. This mapping step transforms the "sector-by-sector" weight coefficients into "angular-by-corner" weights, aligning the weight domain with the measured data domain and avoiding inconsistencies in indexes during subsequent allocation. In an equivalent implementation, the piecewise constants can be replaced by spline interpolation. As long as angular conservation and the beginning and end loops are maintained, the resulting weight sequence is equivalent to that in the above implementation.

[0047] The detection method for mobile phone cases in the embodiments of the present invention has been described above. The detection device for mobile phone cases in the embodiments of the present invention will be described below. Please refer to [link / reference]. Figure 2 One embodiment of the detection device for mobile phone cases of the present invention includes an attitude correction module 101, a magnetic flux acquisition module 102, a prediction generation module 103, a measurement acquisition module 104, and a defect location module 105. The attitude correction module 101 is used to correct the position and angle of the phone case in the reference plane according to the annular magnetic component of the phone case and the geometric reference relationship of the phone case, so as to obtain the attitude reference. The magnetic flux acquisition module 102 is used to acquire the magnetic flux density of the annular region corresponding to the annular magnetic component under the attitude reference, and divide the annular region into multiple sectors to obtain the magnetic flux density and polarity information of each sector. The prediction generation module 103 is used to generate predicted values ​​of wireless power transmission coupling parameters based on the magnetic flux density and polarity information of each sector and the geometric relationship of the annular region. The coupling parameters include at least one of resonant frequency, quality factor, or equivalent series resistance. The measured acquisition module 104 is used to acquire the measured values ​​of the wireless power transmission coupling parameters of the mobile phone case under preset signal conditions. The defect location module 105 is used to calculate the difference between the predicted value and the measured value, and to distribute the difference to each sector according to the magnetic flux density and polarity information of each sector, thereby obtaining the sector-level defect location result of the annular magnetic component.

[0048] above Figure 2 The detection device for mobile phone cases in the embodiments of the present invention will be described in detail from the perspective of modular functional entities. The detection equipment for mobile phone cases in the embodiments of the present invention will be described in detail from the perspective of hardware processing.

[0049] Figure 3 This is a schematic diagram of a mobile phone case detection device 200 provided in an embodiment of the present invention. The mobile phone case detection device 200 can vary significantly due to different configurations or performance. It may include one or more processors 210 (e.g., one or more processors) and a memory 220, and one or more storage media 230 (e.g., one or more mass storage devices) for storing application programs 233 or data 232. The memory 220 and storage media 230 can be temporary or persistent storage. The program stored in the storage media 230 may include one or more modules (not shown in the diagram), each module including a series of instruction operations on the mobile phone case detection device 200. Furthermore, the processor 210 may be configured to communicate with the storage media 230 and execute the series of instruction operations in the storage media 230 on the mobile phone case detection device 200 to implement the steps of the above-described mobile phone case detection method.

[0050] The testing device 200 for mobile phone cases may also include one or more power supplies 240, one or more wired or wireless network interfaces 250, one or more input / output interfaces 260, and / or one or more operating systems 231, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will understand that... Figure 3 The illustrated detection device structure for mobile phone cases does not constitute a limitation on the detection device for mobile phone cases provided by the present invention. It may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0051] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the steps of the detection method for a mobile phone case.

[0052] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system, device, or unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0053] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0054] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the present invention's specification and drawings under the inventive concept of the present invention, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A method for detecting mobile phone cases, characterized in that, Includes the following steps: Based on the relationship between the ring magnetic component of the phone case and the geometric reference of the case, the position and angle of the phone case are corrected in the reference plane to obtain the attitude reference. Under the attitude reference, the magnetic flux density of the annular region corresponding to the annular magnetic component is collected, and the annular region is divided into multiple sectors to obtain the magnetic flux density and polarity information of each sector. Based on the magnetic flux density and polarity information of each sector, and combined with the geometric relationship of the annular region, predicted values ​​of wireless power transmission coupling parameters are generated, wherein the coupling parameters include at least one of resonant frequency, quality factor, or equivalent series resistance. Under preset signal conditions, the measured values ​​of the wireless power transmission coupling parameters of the mobile phone case were obtained. The difference between the predicted value and the measured value is calculated, and the difference is weighted and distributed to each sector according to the magnetic flux density and polarity information of each sector to obtain the sector-level defect location result of the annular magnetic component.

2. The detection method for mobile phone cases according to claim 1, characterized in that, The step of correcting the position and angle of the phone case in a reference plane based on the geometric reference relationship between the ring magnetic component and the phone case to obtain an attitude reference includes: Within the reference plane, the initial center position and angle zero point of the annular region corresponding to the annular magnetic component are determined based on the geometric reference relationship between the annular magnetic component and the lens opening and / or the edge of the housing. Based on the initial center position and angle zero point, and utilizing the concentricity constraint between the inner and outer edges of the annular area, the phone case is translated and rotated within the reference plane to obtain an attitude reference.

3. The detection method for mobile phone cases according to claim 1, characterized in that, Under the stated attitude reference, magnetic flux density is acquired in the annular region corresponding to the annular magnetic component, and the annular region is divided into multiple sectors to obtain the magnetic flux density and polarity information of each sector, including: Under the stated attitude reference, the effective radial bandwidth is defined based on the inner and outer edges of the annular region, and the magnetic flux density of the annular region is collected within the effective radial bandwidth. Along the angular direction of the annular region, multiple sectors are divided according to the polarity reversal point of the magnetic flux density. Within each sector, the acquisition results within the effective radial bandwidth are normalized to determine the magnetic flux density and polarity information of the sector.

4. The detection method for mobile phone cases according to claim 1, characterized in that, The step of generating predicted values ​​for wireless power transmission coupling parameters based on the magnetic flux density and polarity information of each sector, combined with the geometric relationship of the annular region, includes: Based on the magnetic flux density information of each sector, the acquisition results within the radial interval defined by the inner and outer edges of the annular region are radially integrated to determine the equivalent gap factor. Based on the magnetic flux density and polarity information of each sector, the magnetic flux density information of each sector is weighted and accumulated in angular order and combined with the polarity direction to determine the equivalent coupling area, and the angular registration deviation is determined based on the peak angular position of the sector magnetic flux density and the polarity reversal boundary. The equivalent gap factor, the equivalent coupling area, and the angular registration deviation are combined to generate predicted values ​​for the wireless power transmission coupling parameters.

5. The detection method for mobile phone cases according to claim 1, characterized in that, The step of obtaining the measured values ​​of the wireless power transmission coupling parameters of the mobile phone case under preset signal conditions includes: Under preset signal conditions, and at the zero angle and nominal normal distance corresponding to the attitude reference, the wireless power transmission coupling parameters are collected once to obtain the baseline measured value. Under preset signal conditions, while keeping the attitude reference and reference plane unchanged, symmetrical angular sweeping is performed with the zero angle point as the center according to the preset angular offset step size, and the first measured response of the wireless power transmission coupling parameters as the angular position changes is recorded. Under preset signal conditions, while keeping the attitude reference and reference plane unchanged, the nominal normal distance between the annular region and the reference plane is adjusted back and forth according to a preset spacing offset step, and the second measured response of the wireless power transmission coupling parameters as the normal distance changes is recorded. The baseline measured value, the first measured response, and the second measured response are combined to form a set of measured values ​​for the wireless power transmission coupling parameters.

6. The detection method for mobile phone cases according to claim 1, characterized in that, The step of calculating the difference between the predicted value and the measured value, and then weighting the difference according to the magnetic flux density and polarity information of each sector to distribute it to each sector in an angular position to obtain the sector-level defect location result of the annular magnetic component, includes: Based on the predicted value and the measured value set, under preset signal conditions and while keeping the attitude reference unchanged, the difference in wireless power transmission coupling parameters is calculated to obtain the difference amount used for allocation. Based on the magnetic flux density and polarity information of each sector, the sector weight coefficients are calculated according to the angular order of the annular region, so that the sector weight coefficients simultaneously reflect the magnitude of the magnetic flux density and the polarity direction, and satisfy the beginning and end continuity constraint of the annular region in the angular direction, thus obtaining a weight sequence arranged in the angular position. Based on the difference amount and the weight sequence arranged by angular position, the difference amount is weighted and allocated by angular position to obtain the difference contribution sequence corresponding to each sector. Based on the difference contribution sequence and the polarity information of each sector, the distribution pattern of the difference contribution in the angular direction is identified. If a difference contribution with inconsistent polarity and prominent amplitude appears in a single sector or a few discrete sectors, the corresponding sector is determined to be a misalignment or magnetic deficiency positioning result. If a difference contribution with consistent polarity and continuously increasing amplitude appears in a continuous angular interval, the continuous angular interval is determined to correspond to an assembly offset or abnormal spacing positioning result. The output includes sector-level defect location results containing sector index and defect type.

7. The method for detecting mobile phone cases according to claim 6, characterized in that, Based on the magnetic flux density and polarity information of each sector, the sector weight coefficients are calculated according to the angular order of the annular region. These sector weight coefficients simultaneously reflect both the magnitude and polarity direction of the magnetic flux density and satisfy the continuity constraint of the annular region's angular direction, resulting in a weight sequence arranged by angular position, including: Based on the magnetic flux density information of each sector, the acquisition results within the radial interval defined by the inner and outer edges of the annular region are radially normalized, and the radially normalized sector magnetic flux density sequence arranged by sector is output. Based on the polarity information of each sector, the radially normalized sector magnetic flux density sequence is assigned a sign, and the magnetic flux density contribution across the polarity reversal boundary is distributed according to the angular width ratio of adjacent sectors, and the signed sector magnetic flux density sequence is output. Under the angular sequence of the annular region, the sign sector magnetic flux density sequence is subjected to the first and last continuity constraint, and is adjusted according to the total normalization condition that the algebraic sum of each sector weight coefficient in the angular direction of the entire ring is one, to obtain the initial sector weight coefficient sequence. Based on the angular center position and angular width of each sector, the initial sector weight coefficient sequence is mapped to the angular position coordinates, and the weight sequence arranged according to the angular position is output.

8. A detection device for mobile phone cases, characterized in that, The device includes: The attitude correction module is used to correct the position and angle of the phone case in the reference plane based on the relationship between the ring magnetic component of the phone case and the geometric reference of the phone case, so as to obtain the attitude reference. The magnetic flux acquisition module is used to acquire the magnetic flux density of the annular region corresponding to the annular magnetic component under the attitude reference, and to divide the annular region into multiple sectors to obtain the magnetic flux density and polarity information of each sector. The prediction generation module is used to generate predicted values ​​of wireless power transmission coupling parameters based on the magnetic flux density and polarity information of each sector and the geometric relationship of the annular region. The coupling parameters include at least one of resonant frequency, quality factor, or equivalent series resistance. The measured acquisition module is used to acquire the measured values ​​of the wireless power transmission coupling parameters of the mobile phone case under preset signal conditions. The defect location module is used to calculate the difference between the predicted value and the measured value, and to distribute the difference to each sector in an angular position weighted manner according to the magnetic flux density and polarity information of each sector, so as to obtain the sector-level defect location result of the annular magnetic component.

9. A testing device for mobile phone cases, characterized in that, The detection device for mobile phone cases includes: a memory and at least one processor, wherein the memory stores instructions; The at least one processor invokes the instructions in the memory to cause the detection device for the phone case to perform the steps of the detection method for the phone case as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing instructions thereon, characterized in that, When the instructions are executed by the processor, they implement the steps of the detection method for mobile phone cases as described in any one of claims 1 to 7.

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