NFC (Near Field Communication) information interaction method based on digital creative handmade model

Abstract

The invention relates to the technical field of digital cultural creativity, in particular to an NFC communication information interaction method based on a digital cultural creativity handmade model, which comprises the following steps: determining an initial position of an NFC label based on three-dimensional scanning and finite element analysis, and optimizing position coordinates through material density correction; a reasonable gap size range is locked through radio frequency simulation, and a damping layer is designed in combination with vibration mode analysis to eliminate frequency interference; then constructing a packaging grid model and determining a label orientation angle through a particle swarm optimization algorithm through multi-scene interference verification; and finally, generating an integrated protocol for resisting metal interference and the verified embedded firmware. According to the invention, non-inductive interaction of connection while picking up is realized, appearance integrity and structural strength of handwriters are taken into consideration, NFC signal reading success rate, angle tolerance and environmental adaptability are significantly improved, a stable and natural entity-digital linkage channel is constructed for digital creative handwriters, user immersion and brand emotion connection are enhanced, and user experience is improved. The method is suitable for batch production of digital file creative handwritings of various materials and structures.

Description

Technical Field

[0001] This invention relates to the field of digital cultural and creative technology, specifically to an NFC communication information interaction method based on digital cultural and creative figurine models. Background Technology

[0002] In the current era of rapid development in collectibles and cultural consumption, figurines, as a physical medium that integrates artistry, narrative, and emotional attachment, have not only become an important medium for young consumers to express their individuality and cultural belonging, but have also been incorporated into the digital cultural and creative development of cultural institutions such as libraries. Many libraries have launched series of themed digital cultural and creative figurines based on their core cultural resources, such as ancient books, manuscripts by famous figures, and iconic buildings. This not only helps to promote the living dissemination of cultural heritage but also provides libraries with a new platform for in-depth interaction with readers. Both brands and libraries hope to convey the aesthetic value, collectability, and cultural connotations of figurines, and are committed to building a continuous and in-depth emotional connection and digital interaction channel with users. This aims to create a differentiated advantage in the highly competitive cultural and creative market and strengthen the library's ability to extend its cultural services.

[0003] However, current mainstream library-themed cultural and creative figurines generally rely on QR codes or website addresses on packaging boxes to achieve physical-digital linkage.

[0004] This method requires users to actively search for QR codes, scan them using their phone cameras, wait for image recognition to complete, and then be redirected to a designated webpage or manually enter an address. The entire process involves multiple discrete and easily disrupted steps. In practice, insufficient ambient light, incorrect shooting angles, damaged labels, or device compatibility issues often lead to interruptions in the interaction, severely impacting the user experience. More importantly, this type of interaction severs the natural and immediate emotional connection between the user and the figurine, making it difficult for users to seamlessly integrate into the digital content ecosystem built by the brand or library the moment they pick up the figurine. This weakens the immersive and emotional connection of the interaction and fails to fully leverage the cultural dissemination potential of library-themed figurines.

[0005] To achieve a truly seamless interactive experience where users can simply pick up and connect, there is an urgent need for an identification mechanism that can be embedded within the figurine itself and quickly recognized by mobile devices without additional operation. Near Field Communication (NFC) technology is considered an ideal technological path due to its contactless, short-range, low-power, and high-security characteristics. However, integrating stable and reliable NFC tags into the highly constrained physical space of miniature figurines faces multiple technical challenges: on the one hand, figurines are usually made of high-density resin, metal coatings, or composite materials, which may shield or interfere with electromagnetic fields, significantly reducing the success rate of NFC signal reading; on the other hand, factors such as the tag's embedding position, packaging structure, antenna direction, and surrounding geometric gaps directly affect its radio frequency performance. Improper design can easily lead to excessively short reading distances, insufficient angle tolerance, or complete failure under certain handheld postures. Current technologies lack a systematic NFC integration method tailored to the complex curved structures and material characteristics of collectible figurines. Tag placement often relies solely on experience, making it difficult to balance aesthetic integrity, collectible value, and communication reliability. This issue is particularly pronounced in library-themed figurines, which often need to retain the intricate details of cultural elements and maintain aesthetic integrity, exhibiting lower tolerance for structural alterations and requiring enhanced resistance to interference and durability for public display. Therefore, a key technological bottleneck urgently needing to be overcome in the digital cultural and creative figurine industry is how to accurately determine the optimal embedding position, orientation angle, encapsulation parameters, and anti-interference strategies for NFC tags through scientific modeling and multi-physics field optimization, without compromising the aesthetic design and structural integrity of the figurine. This would ensure that users can instantly and stably trigger digital content access simply by naturally placing their NFC-enabled mobile phone near the back of the figurine. Summary of the Invention

[0006] The purpose of this invention is to address the aforementioned shortcomings in the prior art by providing an NFC communication information interaction method based on digital cultural and creative figurine models.

[0007] The objective of this invention is achieved through the following technical solution: an NFC communication information interaction method based on digital cultural and creative figurine models, comprising the following steps: S1. Obtain surface curvature distribution data by scanning the 3D model of the figurine, simulate the electromagnetic field propagation path by using the finite element analysis method, obtain the field strength distribution map of the label placement area, and determine the peak area in the field strength distribution map as the initial label position. S2. Extract the surrounding material density parameters based on the initial label position. If the density parameters exceed the preset threshold, adjust the position offset. By iteratively calculating the field strength change trend after the offset, determine whether the change trend converges in the positive direction and obtain the optimized label position coordinates. S3. Obtain the gap size between adjacent structures from the optimized tag position coordinates, use RF simulation software to simulate the coupling effect between the tag antenna and the gap size, obtain the signal attenuation coefficient under the coupling effect, and determine the gap size range when the signal attenuation coefficient is lower than the threshold. S4. Collect vibration mode data of the figure within the gap size range. If the vibration mode data shows that the resonant frequency overlaps with the NFC working frequency, the damping layer parameter is introduced. The influence of the damping layer parameter on the frequency shift is calculated by the finite difference time domain method. It is determined that there is no overlap after the frequency shift, and the damping layer thickness value is obtained. S5. Construct a tag encapsulation mesh model based on the damping layer thickness value, generate multiple sets of environmental interference scenarios using the Monte Carlo simulation method, obtain the statistical distribution of the reading success rate under the scenario, and determine the encapsulation mesh parameters when the mean of the statistical distribution is higher than the threshold. S6. Extract boundary condition constraints from the encapsulated mesh parameters, run the particle swarm optimization algorithm to search for the label orientation angle under the constraints, obtain the reading angle tolerance curve corresponding to the orientation angle, determine whether the curve covers the user's handheld posture range, and obtain the final orientation angle setting. S7. Generate an integrated protocol sequence by setting the final orientation angle. If a metal interference signal is detected in the protocol sequence, activate adaptive gain adjustment. Calculate the distance tolerance value after gain adjustment through a real-time feedback loop. Determine if the distance tolerance value is stable in the target range to obtain a complete integrated protocol. S8. Compile the embedded firmware code according to the complete integration protocol, transmit the firmware code to the test device using the wireless update mechanism, obtain the response latency data after the device executes the firmware code, determine that the response latency data is lower than the threshold, and obtain the verified firmware version.

[0008] The present invention is further configured such that: the initial tag position determination includes curvature feature mapping, electromagnetic field path modeling, and field strength peak identification; the optimized tag position coordinates include material density correction, offset iterative adjustment, and field strength convergence determination; the gap size range includes coupling effect simulation, attenuation coefficient calculation, and threshold matching analysis; the damping layer thickness value includes vibration mode acquisition, frequency overlap detection, and damping parameter optimization; the encapsulation mesh parameters include mesh structure modeling, interference scenario simulation, and read success rate evaluation; the final orientation angle setting includes boundary constraint extraction, angle optimization search, and tolerance curve verification; the complete integration protocol includes protocol sequence generation, metal interference response, and distance tolerance stability control; and the verified firmware version includes firmware compilation generation, wireless update deployment, and response latency compliance confirmation.

[0009] The present invention is further configured to obtain surface curvature distribution data by scanning the three-dimensional model of the figurine, simulate the electromagnetic field propagation path using the finite element analysis method, obtain the field strength distribution map of the label placement area, and determine the peak area in the field strength distribution map as the initial label position. The specific steps are as follows: The point cloud data of the surface of the figurine is obtained by high-precision 3D scanning equipment, its complete geometric model is reconstructed and local curvature distribution features are extracted to generate a curvature heat map. Based on the curvature heat map and combined with the internal cavity structure information of the figure, the propagation model of electromagnetic field in non-uniform medium is constructed using the finite element method to simulate the field strength response in different regions. Based on the field strength response results, the region with the highest signal strength and good spatial continuity in the field strength distribution map is identified as a set of candidate tag implantation locations. Based on the set of candidate label placement locations, and taking into account both the integrity of the figure's appearance and the requirements for structural strength, the optimal initial label placement is selected.

[0010] The present invention is further configured to extract the surrounding material density parameters based on the initial label position; if the density parameters exceed a preset threshold, the position offset is adjusted; and the optimized label position coordinates are obtained by iteratively calculating the field strength change trend after the offset and determining that the change trend converges in a positive direction. Based on the initial label position, the resin or alloy composition of the corresponding area of ​​the figurine is matched using a material database, and its equivalent electromagnetic density parameter is extracted. If the density parameter is higher than a preset threshold, an initial offset vector is set along the curvature gradient direction to generate a new candidate position; Based on the new candidate locations, the field strength simulation is performed again, and the magnitude and direction of the field strength change are recorded to form an iterative feedback sequence. Repeat the above offset and simulation process until the field strength change tends to rise steadily. This is considered positive convergence. Output the final optimized label position coordinates.

[0011] The present invention is further configured to obtain the gap size between adjacent structures from the optimized tag position coordinates, simulate the coupling effect between the tag antenna and the gap size using radio frequency simulation software, obtain the signal attenuation coefficient under the coupling effect, and determine the gap size range when the signal attenuation coefficient is lower than a threshold. The specific steps are as follows: Based on the optimized label position coordinates, the minimum physical gap size between its adjacent support structure or decorative component is extracted; The gap size is input as a boundary condition into the radio frequency simulation platform to construct a full-wave electromagnetic model that includes the tag antenna and the surrounding structure. Run simulations to obtain return loss and insertion loss data under different gap configurations, and calculate the corresponding signal attenuation coefficients. By selecting gap size combinations with attenuation coefficients lower than the communication reliability threshold, an feasible range of gap sizes is formed.

[0012] The present invention is further configured to collect vibration modal data of the figurine within the gap size range. If the vibration modal data shows that the resonant frequency overlaps with the NFC operating frequency, a damping layer parameter is introduced. The influence of the damping layer parameter on the frequency shift is calculated using the finite difference time-domain method. The step of determining that there is no overlap after the frequency shift and obtaining the damping layer thickness value is as follows: Based on the aforementioned gap size range, modal analysis was performed on the overall structure of the figure to obtain its vibration mode frequencies under typical usage scenarios. If the vibration mode frequency is compared with the NFC standard operating frequency band, and there is frequency band overlap, it is determined that there is a risk of resonance interference. A flexible damping layer is introduced into the label encapsulation area, initial thickness parameters are set, and a dynamic structural model containing the damping layer is constructed. The modulation effect of damping layers of different thicknesses on the system's natural frequency is simulated using a time-domain numerical method until the resonance peak is completely moved out of the NFC operating frequency band, and the damping layer thickness value that meets the isolation requirements is output.

[0013] The present invention is further configured to construct a tag encapsulation mesh model based on the damping layer thickness value, generate multiple sets of environmental interference scenarios using the Monte Carlo simulation method, obtain the statistical distribution of the reading success rate under the scenarios, and determine the encapsulation mesh parameters when the mean of the statistical distribution is higher than a threshold. The specific steps are as follows: Based on the damping layer thickness value, a multi-level encapsulation structure is designed and fine mesh units are divided to form a label encapsulation mesh model. Based on the encapsulated mesh model, multiple sets of simulated scenarios are randomly generated, covering typical interference factors such as temperature fluctuations, metal proximity, and handheld obstruction. Perform virtual NFC reading operations in each scenario, record the number of successful triggers, and statistically analyze the overall reading success rate distribution; Adjust the porosity, interlayer spacing, and shielding layer layout of the encapsulation mesh until the average read success rate distribution is consistently higher than the preset performance threshold, and then lock the final encapsulation mesh parameters.

[0014] The present invention is further configured to extract boundary condition constraints from the encapsulated mesh parameters, run a particle swarm optimization algorithm under the constraints to search for the label orientation angle, obtain the reading angle tolerance curve corresponding to the orientation angle, determine whether the curve covers the user's handheld posture range, and obtain the final orientation angle setting. The specific steps are as follows: Based on the encapsulation mesh parameters, the installation degrees of freedom and rotation constraints of the tag antenna in three-dimensional space are extracted to form a set of boundary constraints for directional optimization. The particle swarm is initialized within the boundary constraint set, and the optimal antenna pointing angle is iteratively searched using the read signal strength as the fitness function. Based on the optimal pointing angle, the reading response under different user hand-holding postures was simulated, and the relationship curve between angle tolerance and signal strength was plotted. Verify whether the angle tolerance curve fully covers more than 90% of human-computer interaction postures in daily use. If it does, then confirm it as the final orientation angle setting.

[0015] The present invention is further configured to generate an integrated protocol sequence by setting the final orientation angle; if a metallic interference signal is detected in the protocol sequence, adaptive gain adjustment is activated; the distance tolerance value after gain adjustment is calculated through a real-time feedback loop; and the distance tolerance value is determined to be stable within the target range to obtain a complete integrated protocol. The specific steps are as follows: Based on the final orientation angle setting, configure the communication parameters and wake-up logic of the NFC chip, and generate a basic integrated protocol sequence; During protocol execution, the metal reflection characteristics in the received signal are monitored in real time, and the gain adaptive module is triggered once the interference signal is identified. The transmit power and receive sensitivity are dynamically adjusted through a built-in feedback loop to calculate the effective read distance tolerance under the current operating conditions. Continuously monitor whether the distance tolerance value stably falls within the preset target range. If multiple consecutive samples meet the requirements, then solidify the current parameter combination to form a complete integration protocol.

[0016] The present invention is further configured to: compile embedded firmware code according to a complete integration protocol, transmit the firmware code to a test device using a wireless update mechanism, obtain response latency data after the device executes the firmware code, determine that the response latency data is below a threshold, and obtain a verified firmware version. The specific steps are as follows: Based on the complete integration protocol, embedded firmware source code suitable for micro NFC chips is generated, and cross-compilation and secure signing are completed. The firmware code is pushed to the test device deployed in the prototype figure via a near-field wireless channel to start the remote burning process. Under various lighting, temperature, humidity, and handheld conditions, the end-to-end response latency of the data acquisition device from sensing to page navigation is measured when NFC interaction is triggered. If the response latency data is below the user experience threshold in all test scenarios, the firmware version is marked as verified and can be used for mass production deployment.

[0017] The beneficial effects of this invention are: I. This invention abandons the cumbersome process of traditional QR code scanning and achieves a seamless interactive experience by bringing the mobile phone close to the figurine through NFC technology and systematic integration design. This allows users to seamlessly access the digital content ecosystem the moment they pick up the figurine, repairing the emotional disconnect between physical figurines and digital interaction, significantly improving the immersion and immediacy of the interaction, and meeting the needs of young consumers for personalized and emotional consumption.

[0018] II. This invention addresses the shielding and interference issues of NFC signals caused by the materials and complex curved structures of collectible figures. Through multi-physics field collaborative optimization (electromagnetic field propagation modeling, structural vibration modal analysis, and material electromagnetic property matching), it systematically solves technical pain points such as unreasonable tag placement, severe signal attenuation, insufficient angle tolerance, and resonance interference. Combined with adaptive gain adjustment and multi-scenario interference verification, it significantly improves the NFC signal reading success rate, reduces response latency, and enhances communication stability and environmental adaptability compared to existing empirical deployment solutions.

[0019] Third, in the selection of label position and packaging structure design, the invention always takes into account the integrity of the figure's appearance and the structural strength. By analyzing the curvature characteristics, it avoids visual focus areas and thin-walled structures, and adopts a partial covering shielding layer and fine mesh packaging. This not only avoids damage to the figure's collectible value due to modification, but also ensures structural stability through damping layer design and gap optimization, thus achieving a balance between functional integration and product quality.

[0020] Fourth, this invention provides a standardized and replicable NFC integration method. Through tool-based processes such as 3D scanning, simulation, and algorithm optimization, it replaces the traditional experience-based tag deployment model, enabling rapid adaptation to digital cultural and creative figurines of different materials and structures. Simultaneously, the wireless update mechanism simplifies the firmware iteration process, eliminating the need for repeated debugging of individual figurines during mass production, significantly reducing R&D cycles and production costs, and possessing strong industrial applicability. Attached Figure Description

[0021] The invention will be further illustrated with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the invention. For those skilled in the art, other drawings can be obtained based on the following drawings without any creative effort.

[0022] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0023] The present invention will be further described in conjunction with the following embodiments.

[0024] Depend on Figure 1As can be seen, the core of the NFC communication information interaction method based on digital cultural and creative figurine model described in this embodiment lies in achieving a highly reliable, low-latency, and anti-interference near-field communication experience through multi-physics field coupling simulation, structural optimization, and embedded protocol collaborative design.

[0025] In practical applications, taking a high-precision resin digital cultural and creative figurine of an anime character as an example, the figurine is 150mm tall and has a complex curved surface and hollowed-out decorative structure. The first step, S1, involves using a high-precision 3D scanning device (such as a FARO Focus S350 laser scanner) to collect point cloud data of the entire surface of the figurine, with a sampling density of no less than 200 points / mm. 2 The complete geometric model was reconstructed, and the local Gaussian curvature K and mean curvature H were calculated using differential geometry methods to generate a curvature heatmap. In the curvature heatmap, high curvature regions (|K|>0.8mm) were identified. -1 This typically corresponds to sharp corners or small protrusions, where electromagnetic fields are easily scattered; while regions with low curvature and good continuity (|K|<0.2mm) are more susceptible to electromagnetic field scattering. -1 This is more suitable as an NFC tag implantation site. Subsequently, combining the internal cavity structure of the figurine (obtained via CT scan), an electromagnetic field propagation model in a non-uniform medium was constructed using the RF module in COMSOL Multiphysics. The excitation source was set to 13.56MHz (the ISO / IEC 14443 standard NFC operating frequency). The material dielectric constant ε_r was set to ε_r=3.8 based on the resin formulation (main components are epoxy acrylate, photoinitiator TPO, and nano-silica filler, with volume fractions of 70%, 5%, and 25%, respectively), and the permeability μ_r=1. Maxwell's equations were solved through finite element analysis: ; Where E is the electric field intensity vector, ω=2πf is the angular frequency, ε0 ​​is the vacuum permittivity, and J is the current density. The simulation results output a three-dimensional field intensity distribution map, identifying the region with the maximum signal intensity (|E|>85V / m) and good spatial continuity (connected region area>50mm²) as the set of candidate label implantation locations. Considering both the integrity of the figure's appearance (avoiding openings in visually focal areas such as the face and iconic clothing) and structural strength (avoiding thin-walled areas with a wall thickness <1.5mm), the region located in the recessed area of ​​the clothing fold on the back of the figure was finally selected as the initial label location, denoted as P0=(x0,y0,z0).

[0026] Proceed to step S2: Extract the surrounding material density parameters based on P0. Match the composition of the resin used in this area using a material database, and calculate its equivalent electromagnetic density parameter ρ_e, defined as ρ_e = ε_r × ρ_m, where ρ_m is the physical density (measured at 1.25 g / cm³). 3Therefore, ρ_e≈4.75. The preset threshold ρ_th=4.5. Since ρ_e>ρ_th, a signal attenuation risk is identified. An initial offset vector Δr0=α·∇K / ||∇K|| is set along the curvature gradient direction (i.e., the ∇K direction), where α=0.5mm is the step size. A new candidate position P1=P0+Δr0 is generated; the field strength simulation is rerun at P1, and the field strength change Δ|E1|=|E1|-|E0| is recorded. If Δ|E1|>0, the offset continues in the same direction; otherwise, the adjustment is reversed. The iterative process follows the following convergence criterion: when the field strength change satisfies Δ|E_k|>0 and |Δ|E_{k-1}||<δ (δ=0.5V / m) in three consecutive iterations, it is considered positive convergence. After four iterations, the optimized label position coordinates P_opt=(x_opt,y_opt,z_opt) were obtained. At this time, the field strength was increased to 92V / m, and the influence of the surrounding material density was reduced to an acceptable range.

[0027] In step S3, the gap dimensions between adjacent structures are extracted from P_opt. The minimum physical gap d_min between the adjacent support column and the decorative ribbon is measured to be 2.3 mm using the CAD model. d_min is then input as a boundary condition into the ANSYS HFSS RF simulation platform to construct a full-wave electromagnetic model including the NFC antenna (using a 2.5-turn planar spiral coil, 0.3 mm line width, 0.2 mm spacing, and a resonant frequency of 13.56 MHz) and the surrounding resin structure. Simulations are run to obtain S-parameters under different gap configurations (d = 1.5~3.5 mm, step size 0.2 mm), and the signal attenuation coefficient α_att is calculated. α_att=10*log 10 (P_in / P_out)=-S 21 (dB); Where P_in is the input power and P_out is the received power. A communication reliability threshold α_th = 3dB is set, and the gap size combinations corresponding to α_att < 3dB are selected to form an feasible gap size range d ∈ [2.0, 3.2] mm.

[0028] In step S4, modal analysis of the overall structure of the figure is performed for this gap size range. Using LMSTest.Lab software, vibration modal data are collected under simulated hand-held impact conditions (excitation force spectrum 0~200Hz), identifying the first five natural frequencies as 42Hz, 78Hz, 115Hz, 163Hz, and 205Hz. The NFC operating frequency band is 13.56MHz±7kHz, which is much higher than the structural vibration frequency, but the modulation effect of antenna deformation caused by mechanical resonance on the resonant frequency must be considered. Further analysis revealed that the third mode (115Hz) produces the maximum displacement amplitude (0.12mm) in the tag area, potentially causing a slight change in antenna inductance. To eliminate this potential risk, a flexible damping layer (material: polyurethane-based composite damping adhesive, loss factor tanδ=0.8@100Hz) is introduced into the tag encapsulation area. An initial thickness t0=0.3mm is set, and a dynamic structural model with the damping layer is constructed. The finite difference time-domain method (FDTD) is used to solve the structural dynamic equations. Mü + C(ü) + Ku = F(t); Where M, C, and K are the mass, damping, and stiffness matrices, respectively, and u is the displacement vector. The natural frequency offset Δf_n of the system at each thickness is calculated by scanning the parameters t∈[0.2,1.0]mm. When t=0.6mm, the third-order mode frequency drops to 98Hz, and the antenna resonant frequency drift is <1kHz, completely avoiding the sensitive range of the NFC operating frequency band. Therefore, the damping layer thickness t_damp=0.6mm is determined.

[0029] Step S5 constructs a tag encapsulation mesh model based on t_damp. A three-layer encapsulation structure is designed: an inner damping layer (0.6mm), a middle FR-4 substrate (0.8mm), and an outer electromagnetic shielding layer (copper foil, 0.035mm). A tetrahedral mesh is generated using Hypermesh with a cell size of 0.1mm and approximately 120,000 nodes. Based on this, 1000 environmental interference scenarios are generated using the Monte Carlo method. Each scenario randomly combines the following parameters: ambient temperature T∈[−10,50]℃ (following a normal distribution N(25,10)), metal proximity distance d_metal∈[0,50]mm (exponential distribution λ=0.1), and handheld obstruction area A_block∈[0,60]% (uniform distribution). A virtual NFC reading operation (simulating a mobile phone NFC reader approaching) is performed in each scenario, and the number of successful triggers is recorded. The success rate R_success is statistically analyzed, with a mean μ_R=96.7% and a standard deviation σ_R=2.1%. The preset performance threshold μ_th=95%, and the current average value has been met. To further optimize, the porosity φ of the encapsulation mesh (controlling heat dissipation and weight), the interlayer spacing s (affecting electromagnetic isolation), and the shielding layer layout (full coverage vs. partial coverage) were adjusted. After three rounds of parameter adjustments, the final encapsulation mesh parameters were locked: φ=15%, s=0.5mm, and the shielding layer adopts a partial back-side encapsulation scheme.

[0030] Step S6 extracts boundary condition constraints from the encapsulation mesh parameters. Since the outer copper foil restricts the antenna's rotational degrees of freedom along the X and Y axes, it only allows rotation ±15° around the Z axis (perpendicular to the back of the figure), forming a boundary constraint set Ω={θ|−15°≤θ≤15°} for directional optimization. The particle swarm is initialized within Ω (particle number N=30, inertia weight w=0.7, learning factors c1=c2=1.5), using the read signal strength RSSI as the fitness function f(θ)=RSSI(θ). The particle position update formula is: v_i^{k+1}=w*v_i^k+c1*r1*(pbest_i-x_i^k)+c2*r2*(gbest-x_i^k); x_i^{k+1}=x_i^k+v_i^{k+1}; Where x_i is the angular position of the i-th particle, v_i is its velocity, pbest_i and gbest are the individual and global optimal positions, respectively, and r1 and r2 are random numbers in the range [0,1]. After 50 iterations, it converges to the optimal pointing angle θ_opt = 8.3°. Based on θ_opt, 1000 user handheld postures are simulated (wrist pitch angle α∈[−30°,30°], yaw angle β∈[−45°,45°]), and an angle tolerance curve—that is, a contour plot of RSSI as a function of (α,β)—is plotted. This curve is verified to cover more than 90% of daily interaction postures (defined as the area with RSSI>−65dBm ≥90%), confirming that θ_opt is the final orientation angle setting.

[0031] In step S7, an integrated protocol sequence is generated based on θ_opt. The communication parameters of the NFC chip (e.g., ST25DV04K) are configured: baud rate 106kbps, wake-up sensitivity −70dBm, and anti-collision mode enabled. The generated basic protocol sequence includes: field strength detection → UID reading → URL jump command. During protocol execution, the metallic reflection characteristics in the received signal are monitored in real time—metallic interference is determined by analyzing carrier phase jitter Δφ>5° or amplitude drop>6dB. Once interference is detected, the adaptive gain adjustment module is activated, and its control law is: G(n)=G(n−1)+K_p*e(n)+K_i*∑_{k=0}^ne(k); Where e(n) = D_target − D_actual(n) is the distance error, D_target = 40mm is the target reading distance, D_actual(n) is derived from RSSI, and K_p = 0.2 and Ki = 0.05 are PID parameters. The transmit power is dynamically adjusted through a built-in feedback loop, and the effective reading distance tolerance ΔD = |D_max − D_min| is calculated. ΔD is continuously monitored to ensure it remains stable within the target range [35, 45]mm. After 20 consecutive samples, the mean value of ΔD is 41.2mm, and the standard deviation is 1.8mm, meeting the requirements. The parameters are then solidified to form a complete integrated protocol.

[0032] Finally, step S8 is executed: Based on the complete integration protocol, Keil MDK is used to generate embedded firmware source code suitable for the STM32WB55RG chip, completing cross-compilation and ECDSA security signing. The firmware code is pushed to the test device (with a built-in ST25DV04K+STM32WB55RG module) deployed in the prototype figurine via an NFCForumType4Tag compatible wireless update mechanism. NFC interaction is triggered under 20 test scenarios (covering strong light, low temperature -5℃, one-handed holding, etc.), and end-to-end response latency (the time from the phone touching the figurine surface to the browser loading the specified AR content page) is collected. The measured latency data shows an average of 280ms and a maximum of 340ms, which is lower than the user experience threshold of 400ms. Therefore, firmware version V1.2.3 is marked as verified and can be used for mass production deployment.

[0033] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. An NFC communication information interaction method based on digital cultural and creative figurine models, characterized in that: Includes the following steps: S1. Obtain surface curvature distribution data by scanning the 3D model of the figurine, simulate the electromagnetic field propagation path using the finite element analysis method, obtain the field strength distribution map of the label placement area, and determine the peak area in the field strength distribution map as the initial label position. S2. Extract the surrounding material density parameters based on the initial label position. If the density parameters exceed the preset threshold, adjust the position offset. By iteratively calculating the field strength change trend after the offset, determine whether the change trend converges in the positive direction and obtain the optimized label position coordinates. S3. Obtain the gap size between adjacent structures from the optimized tag position coordinates, use RF simulation software to simulate the coupling effect between the tag antenna and the gap size, obtain the signal attenuation coefficient under the coupling effect, and determine the gap size range when the signal attenuation coefficient is lower than the threshold. S4. Collect vibration mode data of the figure within the gap size range. If the vibration mode data shows that the resonant frequency overlaps with the NFC working frequency, the damping layer parameter is introduced. The influence of the damping layer parameter on the frequency shift is calculated by the finite difference time domain method. It is determined that there is no overlap after the frequency shift, and the damping layer thickness value is obtained. S5. Construct a tag encapsulation mesh model based on the damping layer thickness value, generate multiple sets of environmental interference scenarios using the Monte Carlo simulation method, obtain the statistical distribution of the reading success rate under the scenario, and determine the encapsulation mesh parameters when the mean of the statistical distribution is higher than the threshold. S6. Extract boundary condition constraints from the encapsulated mesh parameters, run the particle swarm optimization algorithm to search for the label orientation angle under the constraints, obtain the reading angle tolerance curve corresponding to the orientation angle, determine whether the curve covers the user's handheld posture range, and obtain the final orientation angle setting. S7. Generate an integrated protocol sequence by setting the final orientation angle. If a metal interference signal is detected in the protocol sequence, activate adaptive gain adjustment. Calculate the distance tolerance value after gain adjustment through a real-time feedback loop. Determine if the distance tolerance value is stable in the target range to obtain a complete integrated protocol. S8. Compile the embedded firmware code according to the complete integration protocol, transmit the firmware code to the test device using the wireless update mechanism, obtain the response latency data after the device executes the firmware code, determine that the response latency data is lower than the threshold, and obtain the verified firmware version.

2. The NFC communication information interaction method based on a digital cultural and creative figurine model according to claim 1, characterized in that: The initial tag position determination includes curvature feature mapping, electromagnetic field path modeling, and field strength peak identification. The optimized tag position coordinates include material density correction, offset iterative adjustment, and field strength convergence determination. The gap size range includes coupling effect simulation, attenuation coefficient calculation, and threshold matching analysis. The damping layer thickness value includes vibration mode acquisition, frequency overlap detection, and damping parameter optimization. The encapsulation mesh parameters include mesh structure modeling, interference scenario simulation, and read success rate evaluation. The final orientation angle setting includes boundary constraint extraction, angle optimization search, and tolerance curve verification. The complete integration protocol includes protocol sequence generation, metal interference response, and distance tolerance stability control. The verified firmware version includes firmware compilation generation, wireless update deployment, and response latency compliance confirmation.

3. The NFC communication information interaction method based on a digital cultural and creative figurine model according to claim 1, characterized in that: The steps involved in obtaining surface curvature distribution data by scanning the 3D model of the figurine, simulating the electromagnetic field propagation path using the finite element method, obtaining the field strength distribution map of the label placement area, and determining the peak area in the field strength distribution map as the initial label position are as follows: The point cloud data of the surface of the figurine is obtained by high-precision 3D scanning equipment, its complete geometric model is reconstructed and local curvature distribution features are extracted to generate a curvature heat map. Based on the curvature heat map and combined with the internal cavity structure information of the figure, the propagation model of electromagnetic field in non-uniform medium is constructed using the finite element method to simulate the field strength response in different regions. Based on the field strength response results, the region with the highest signal strength and good spatial continuity in the field strength distribution map is identified as a set of candidate tag implantation locations. Based on the set of candidate label placement locations, and taking into account both the integrity of the figure's appearance and the requirements for structural strength, the optimal initial label placement is selected.

4. The NFC communication information interaction method based on a digital cultural and creative figurine model according to claim 1, characterized in that: The steps for extracting surrounding material density parameters based on the initial label position, adjusting the position offset if the density parameters exceed a preset threshold, and iteratively calculating the field strength change trend after the offset to determine if the trend is converging in a positive direction, to obtain the optimized label position coordinates are as follows: Based on the initial label position, the resin or alloy composition of the corresponding area of ​​the figurine is matched using a material database, and its equivalent electromagnetic density parameter is extracted. If the density parameter is higher than a preset threshold, an initial offset vector is set along the curvature gradient direction to generate a new candidate position; Based on the new candidate locations, the field strength simulation is performed again, and the magnitude and direction of the field strength change are recorded to form an iterative feedback sequence. Repeat the above offset and simulation process until the field strength change tends to rise steadily. This is considered positive convergence. Output the final optimized label position coordinates.

5. The NFC communication information interaction method based on a digital cultural and creative figurine model according to claim 1, characterized in that: The steps for obtaining the gap size between adjacent structures from the optimized tag position coordinates, simulating the coupling effect between the tag antenna and the gap size using RF simulation software, obtaining the signal attenuation coefficient under the coupling effect, and determining the gap size range when the signal attenuation coefficient is below a threshold are as follows: Based on the optimized label position coordinates, the minimum physical gap size between its adjacent support structure or decorative component is extracted; The gap size is input as a boundary condition into the radio frequency simulation platform to construct a full-wave electromagnetic model that includes the tag antenna and the surrounding structure. Run simulations to obtain return loss and insertion loss data under different gap configurations, and calculate the corresponding signal attenuation coefficients. By selecting gap size combinations with attenuation coefficients lower than the communication reliability threshold, an feasible range of gap sizes is formed.

6. The NFC communication information interaction method based on a digital cultural and creative figurine model according to claim 1, characterized in that: For collecting vibration modal data of the figurine within the gap size range, if the vibration modal data shows that the resonant frequency overlaps with the NFC operating frequency, a damping layer parameter is introduced. The influence of the damping layer parameter on the frequency shift is calculated using the finite difference time-domain method. After determining that there is no overlap after the frequency shift, the specific steps for obtaining the damping layer thickness value are as follows: Based on the aforementioned gap size range, modal analysis was performed on the overall structure of the figure to obtain its vibration mode frequencies under typical usage scenarios. If the vibration mode frequency is compared with the NFC standard operating frequency band, and there is frequency band overlap, it is determined that there is a risk of resonance interference. A flexible damping layer is introduced into the label encapsulation area, initial thickness parameters are set, and a dynamic structural model containing the damping layer is constructed. The modulation effect of damping layers of different thicknesses on the system's natural frequency is simulated using a time-domain numerical method until the resonance peak is completely moved out of the NFC operating frequency band, and the damping layer thickness value that meets the isolation requirements is output.

7. The NFC communication information interaction method based on a digital cultural and creative figurine model according to claim 1, characterized in that: A tag encapsulation mesh model is constructed based on the damping layer thickness value. Multiple environmental interference scenarios are generated using Monte Carlo simulation to obtain the statistical distribution of the read success rate under each scenario. The specific steps for determining the encapsulation mesh parameters when the mean of the statistical distribution is higher than a threshold are as follows: Based on the damping layer thickness value, a multi-level encapsulation structure is designed and fine mesh units are divided to form a label encapsulation mesh model. Based on the encapsulated mesh model, multiple sets of simulated scenarios are randomly generated, covering typical interference factors such as temperature fluctuations, metal proximity, and handheld obstruction. Perform virtual NFC reading operations in each scenario, record the number of successful triggers, and statistically analyze the overall reading success rate distribution; Adjust the porosity, interlayer spacing, and shielding layer layout of the encapsulation mesh until the average read success rate distribution is consistently higher than the preset performance threshold, and then lock the final encapsulation mesh parameters.

8. The NFC communication information interaction method based on a digital cultural and creative figurine model according to claim 1, characterized in that: The steps for extracting boundary condition constraints from the encapsulated mesh parameters, running a particle swarm optimization algorithm to search for the label orientation angle under these constraints, obtaining the reading angle tolerance curve corresponding to the orientation angle, determining whether the curve covers the user's handheld posture range, and obtaining the final orientation angle setting are as follows: Based on the encapsulation mesh parameters, the installation degrees of freedom and rotation constraints of the tag antenna in three-dimensional space are extracted to form a set of boundary constraints for directional optimization. The particle swarm is initialized within the boundary constraint set, and the optimal antenna pointing angle is iteratively searched using the read signal strength as the fitness function. Based on the optimal pointing angle, the reading response under different user hand-holding postures was simulated, and the relationship curve between angle tolerance and signal strength was plotted. Verify whether the angle tolerance curve fully covers more than 90% of human-computer interaction postures in daily use. If it does, then confirm it as the final orientation angle setting.

9. The NFC communication information interaction method based on a digital cultural and creative figurine model according to claim 1, characterized in that: The steps to generate an integrated protocol sequence by setting the final orientation angle, activating adaptive gain adjustment if a metallic interference signal is detected in the protocol sequence, calculating the distance tolerance value after gain adjustment through a real-time feedback loop, and determining whether the distance tolerance value is stable within the target range to obtain the complete integrated protocol are as follows: Based on the final orientation angle setting, configure the communication parameters and wake-up logic of the NFC chip, and generate a basic integrated protocol sequence; During protocol execution, the metal reflection characteristics in the received signal are monitored in real time, and the gain adaptive module is triggered once the interference signal is identified. The transmit power and receive sensitivity are dynamically adjusted through a built-in feedback loop to calculate the effective read distance tolerance under the current operating conditions. Continuously monitor whether the distance tolerance value stably falls within the preset target range. If multiple consecutive samples meet the requirements, then solidify the current parameter combination to form a complete integration protocol.

10. The NFC communication information interaction method based on a digital cultural and creative figurine model according to claim 1, characterized in that: The steps for compiling embedded firmware code according to the complete integration protocol, transmitting the firmware code to the test device using a wireless update mechanism, obtaining the response latency data after the device executes the firmware code, determining that the response latency data is below a threshold, and obtaining the verified firmware version are as follows: Based on the complete integration protocol, embedded firmware source code suitable for micro NFC chips is generated, and cross-compilation and secure signing are completed. The firmware code is pushed to the test device deployed in the prototype figure via a near-field wireless channel to start the remote burning process. Under various lighting, temperature, humidity, and handheld conditions, the end-to-end response latency of the data acquisition device from sensing to page navigation is measured when NFC interaction is triggered. If the response latency data is below the user experience threshold in all test scenarios, the firmware version is marked as verified and can be used for mass production deployment.

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