Intelligent body armor containing self-repairing micro-channels and damage monitoring method
By using self-healing microchannels and a three-dimensional damage analysis module, the problem of sensor breakage under strong impact in smart bulletproof vests has been solved, achieving stable signal transmission and rapid and accurate damage assessment, and supporting the optimized allocation of battlefield emergency medical resources.
Patent Information
- Application Number
- CN202610033759.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-12
- Publication Date
- 2026-04-07
AI Technical Summary
Existing smart bulletproof vests are prone to sensor network breakage under strong impact scenarios, leading to monitoring system failure and inability to upload injury information in a timely manner, which affects the rapid judgment of command centers and medical personnel.
Employing a self-healing microfluidic structure, including micro-strain gauges, temperature-sensitive units, and conductive hydrogel wires, combined with a three-dimensional damage analysis module, the sensor achieves self-repair and stable signal transmission, and provides real-time damage assessment through edge computing and a visualization interaction layer.
It enables the sensor to self-repair and transmit signals stably under strong impact, ensuring the integrity and reliability of damage data, providing rapid and accurate damage assessment and emergency response level determination, and supporting the optimized allocation of battlefield emergency medical resources.
Smart Images
Figure CN121804273A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of intelligent protective equipment technology, specifically relating to an intelligent bulletproof vest with self-healing microchannels and a damage monitoring method. Background Technology
[0002] In modern warfare, bomb disposal operations, and high-risk security scenarios, bulletproof vests are core protective equipment for individual soldiers. Their technological development has evolved from traditional passive protection to integrated protection and monitoring. Traditional bulletproof vests mainly rely on high-performance fiber or ceramic composite materials to construct a multi-layered protective structure, achieving protection against projectile penetration through physical blocking. They are widely used in military and police individual equipment, security personnel protection, and high-risk operations personnel. Their core advantages are strong impact resistance and low surface density.
[0003] However, the existing bulletproof vests have certain defects. The existing smart bulletproof vests generally use copper wires or ordinary flexible wires to connect the sensor network. Under strong impact scenarios such as projectile impact and shrapnel impact, they are very prone to irreversible breakage, causing the monitoring system to be paralyzed instantly. It is difficult to analyze the wearer's impact status. At the same time, the failure to upload data in time can make it difficult for the command center and medical personnel to quickly determine the severity of the injury. To avoid the aforementioned technical problems, it is indeed necessary to provide an intelligent bulletproof vest with self-healing microchannels and a damage monitoring method to overcome the deficiencies in the prior art. Summary of the Invention
[0004] The purpose of this invention is to provide an intelligent bulletproof vest with self-healing microchannels and a damage monitoring method to solve the problems mentioned in the background art.
[0005] To achieve the above objectives, the present invention provides the following technical solution: a smart bulletproof vest with self-healing microchannels and a damage monitoring method, comprising a sensing array layer, including micro-strain gauges and temperature-sensitive units embedded in the composite material layer of the bulletproof vest, for synchronously acquiring impact energy, bulletproof layer deformation rate, and local frictional temperature rise. The microfluidic self-healing signal bus layer includes a liquid metal microfluidic circuit connected to the sensor array layer and a parallel backup microfluidic channel; The computational processing layer includes an edge computing unit, an adaptive calibration unit, and a three-dimensional damage analysis module. The computational processing layer is connected to the microchannel self-healing signal convergence layer and dynamically adjusts the parameters of the three-dimensional damage localization and energy model according to the real-time strain of the bulletproof layer and the ambient temperature. The visualization and interaction layer is connected to the computing and processing layer to display injury assessment-related information, automatically mark red, yellow, and green emergency levels and provide anatomical location prompts; The three-dimensional damage analysis module performs analysis based on shock wave propagation time difference, energy attenuation curve, ballistic depth, three-dimensional coordinates of damage, and three-dimensional deformation of the bulletproof layer in the damaged area.
[0006] As a preferred embodiment, the composite material layer includes a composite structure of an impact-resistant reinforcing layer, an intermediate buffer layer, and a body-fitting layer, with micro-strain gauges and temperature-sensitive units embedded at the interface between the intermediate buffer layer and the body-fitting layer.
[0007] As a preferred embodiment, the microchannel is encapsulated with conductive hydrogel wires. The conductive hydrogel uses acrylic acid or acrylamide as monomers and achieves synergistic repair of the structure and conductive pathways through reversible reconstruction of internal hydrogen bonds and dynamic covalent bonds.
[0008] As a preferred embodiment, the three-dimensional damage analysis module calculates the ballistic depth based on a depth model.
[0009] As a preferred implementation, the three-dimensional damage analysis module simultaneously calculates the three-dimensional deformation of the ballistic protective layer in the damaged area, and outputs the results by combining the in-plane radial deformation and thickness direction compression deformation with the ballistic depth model data.
[0010] As a preferred implementation, the three-dimensional damage analysis module generates damage degree, damage location and damage risk based on the corrected ballistic depth and deformation data, and constructs an emergency treatment level by combining human safety thresholds, namely red emergency treatment level, yellow emergency treatment level and green safety level.
[0011] A damage monitoring method for a smart bulletproof vest containing self-healing microchannels, comprising the following steps: S1: Impact signal acquisition. When a bullet impacts the composite material layer, the sensor array layer simultaneously initiates multi-dimensional acquisition. S2: Data preprocessing, the computational processing layer performs targeted purification of the raw data to eliminate interference signals and ensure the accuracy of subsequent calculations; S3: Damage core parameter calculation. The three-dimensional damage analysis module calls the multi-parameter coupled energy-strain co-inversion model to calculate the ballistic depth DDS, the three-dimensional coordinates (x,y,z) of the impact point, and calculate the three-dimensional deformation data. S4: Results output and feedback. The visualization and interaction layer outputs damage deformation distribution, damage grading and anatomical location information in the form of hierarchical labels. The data can be synchronized to the mobile terminal via encrypted Bluetooth. The microchannel self-healing signal confluence layer synchronously feeds back the self-healing status, forming a complete monitoring closed loop.
[0012] Compared with the prior art, the beneficial effects of the present invention are: This invention, through the layout design of the sensor array layer, effectively avoids the problem of data loss caused by the damage of a single node, significantly improving the sampling reliability of the spatiotemporal distribution data of shock waves. At the same time, the composite material layer adopts a layered composite structure, with the impact-resistant surface reinforcement layer, the intermediate buffer layer, and the close-fitting adaptation layer using a combination of high-performance fiber and resin materials. Through a reasonable structural ratio, it enhances the impact resistance and protection performance while taking into account the comfort and fit during wearing, achieving a deep synergy between protective performance and monitoring needs, and solving the problem of poor compatibility between sensors and protective materials in traditional smart bulletproof vests.
[0013] This invention utilizes a microchannel self-healing signal manifold layer with conductive hydrogel as the core transmission medium. Even when the channel breaks due to a strong impact, it can quickly restore signal transmission function. Simultaneously, when the main channel fails due to damage, the backup channel can automatically switch to continue transmission. Structurally, this ensures uninterrupted signal transmission and solves the technical defects of existing smart bulletproof vests, such as easy signal transmission breakage, weak anti-interference ability, and limited transmission distance. It provides stable support for the operation of the entire monitoring system.
[0014] This invention, through a three-dimensional damage analysis module based on a multi-parameter coupling model, can accurately analyze ballistic depth, three-dimensional coordinates of damage, and regional deformation. Combined with a graded emergency rescue assessment system constructed using human safety thresholds, it can quickly output the degree, location, and risk level of injury. Through anatomical location mapping, it provides clear injury assessment criteria for command centers and medical personnel. At the same time, the visualization interaction layer is automatically synchronized to ensure the integrity and security of damage data, providing stable data support for the optimized allocation of battlefield emergency rescue resources. Attached Figure Description
[0015] Figure 1 A schematic diagram of a smart bulletproof vest with self-healing microchannels; Figure 2 This is a diagram illustrating the self-healing process of the microchannels in this invention. Figure 3 This is a flowchart illustrating the damage monitoring data processing logic of the present invention. Figure 4 This is a flowchart illustrating the emergency response level determination logic of the present invention.
[0016] In the figure: 1. Microchannel self-healing signal busbar layer; 2. Impact-resistant surface enhancement layer; 3. Intermediate buffer layer; 4. Sensor array layer; 5. Fitting layer. Detailed Implementation
[0017] The present invention will be further described below with reference to embodiments.
[0018] The following embodiments are used to illustrate the present invention, but should not be used to limit the scope of protection of the present invention. The conditions in the embodiments can be further adjusted according to specific conditions, and simple improvements to the method of the present invention under the premise of the concept of the present invention are all within the scope of protection claimed by the present invention.
[0019] Please see Figure 1-4 The present invention provides a smart bulletproof vest with self-healing microchannels and a damage monitoring method, including a sensing array layer 4, which includes micro strain gauges and temperature sensitive units embedded in the composite material layer of the bulletproof vest, for synchronous acquisition of impact energy, bulletproof layer deformation rate and local friction temperature rise. Miniature strain gauges and temperature-sensitive units are deployed in a 2×2cm area, including one set of main sensing nodes and two sets of backup nodes, to avoid data loss due to single node failure and to improve the sampling accuracy of shock wave spatiotemporal distribution data. The microchannel self-healing signal busbar 1 includes a microchannel circuit connected to the sensor array layer 4 and a parallel backup microchannel. The outer layer of the channel is provided with a nickel-copper alloy nano electromagnetic shielding coating. When the main channel fails due to damage, the backup channel can automatically switch to continue the transmission. Structurally, this ensures uninterrupted signal transmission and solves the technical defects of existing smart bulletproof vests, such as easy signal transmission breakage, weak anti-interference ability, and limited transmission distance. It provides key support for the stable operation of the entire monitoring system. Furthermore, a miniature signal relay unit is deployed every 5cm to achieve attenuation-free transmission up to 20m. The computational processing layer includes an edge computing unit, an adaptive calibration unit, and a three-dimensional damage analysis module. The computational processing layer is connected to the microchannel self-healing signal confluence layer 1 and dynamically adjusts the parameters of the three-dimensional damage location and energy model according to the real-time strain of the bulletproof layer and the ambient temperature. The computational processing layer adopts a time-sharing parallel computing strategy, allocating computing power to the impact signal preprocessing, three-dimensional positioning, and weapon identification tasks in a time-sharing manner. The visualization interaction layer, which is communicatively connected to the computing and processing layer, is used to display damage assessment-related information, automatically mark red, yellow, and green emergency response levels and provide anatomical location prompts. The visualization interaction layer is automatically synchronized to ensure the integrity and security of damage data, and provides stable data support for the optimized allocation of battlefield emergency medical resources. The visualization interaction layer supports offline data storage. In the case of disconnection, ≥500 damage records are stored locally and automatically synchronized to the cloud after reconnection. The three-dimensional damage analysis module is based on the shock wave propagation time difference, energy attenuation curve, ballistic depth, three-dimensional coordinates of the damage, and three-dimensional deformation of the bulletproof layer in the damaged area. The composite material layer includes a composite structure of a projectile-facing reinforcement layer 2, an intermediate buffer layer 3, and a body-fitting layer 5, with micro-strain gauges and temperature-sensitive units embedded at the interface between the intermediate buffer layer 3 and the body-fitting layer 5. The anti-ballistic reinforcement layer 2 is made of aramid III woven fabric, the intermediate buffer layer 3 is made of aramid III chopped fibers or epoxy resin composite material, and the close-fitting layer 5 is made of aramid III non-woven fabric. The mass ratio of the three layers is 2:3:5. The microchannel is encapsulated with conductive hydrogel wires. The conductive hydrogel uses acrylic acid or acrylamide as monomers and carbon nanotubes as dopants. The conductive hydrogel achieves synergistic repair of structure and conductive pathway through reversible reconstruction of internal hydrogen bonds and dynamic covalent bonds. The three-dimensional damage analysis module calculates the ballistic depth based on a depth model; in, The fixed medium correction coefficient for the composite material layer was determined by static ballistic experiments on the aramid III composite structure. The multi-parameter coupling coefficient integrates local friction temperature rise data collected by the temperature-sensitive unit; , The peak temperature rise after impact is expressed in °C. This is the impact angle correction factor. , The angle between the incident direction of the projectile and the normal to the composite material layer, ranging from 0° to 60°; This is the strain correction factor. , The strain calibration factor is 0.02 / , The average dynamic strain value collected by the micro strain gauge and conductive hydrogel sensing unit utilizes the high-frequency response of the metal strain gauge and combines it with the flexible fit of the hydrogel to achieve a strain transfer efficiency of ≥92%, which can effectively reduce the measurement deviation caused by the slippage of the sensor and composite material layer interface. For the normalized energy decay integral, Assuming the initial kinetic energy of the projectile, a database of typical projectile types is pre-set. Let be the impact energy absorbed by the composite material layer at time t, derived from the strain energy conversion formula; The shock initiation time is the moment the shock wave reaches the first sensing node. The stopping time of the projectile is the moment when the strain signal tends to stabilize. The normalized instantaneous energy absorption percentage is calculated by integrating the time interval from the start of the impact to the point where the projectile stops, and then calculating the cumulative value of the energy absorption percentage throughout the entire impact process. Finally, a dimensionless quantized result is output, ranging from 0 to... - This is used to reflect the intensity of the process in energy absorption; The initial kinetic energy of the projectile is obtained by matching a pre-set database of typical projectile types, such as 7.62mm ordinary steel core bullets and 9mm pistol bullets, without the need for real-time measurement. The database covers the kinetic energy range of common projectile types from 200 to 2000J, which can ensure the universality of the model under the impact of different projectile types. The impact energy absorbed by the composite material layer at time t is not a directly measured value, but is derived through the strain energy conversion formula. The dynamic strain is collected in real time by the sensing array layer (4). ; By combining known parameters such as the elastic modulus and areal density of the composite material layer, the strain energy calculation theory in mechanics of materials is used to invert the data, thus realizing the conversion of strain signals into energy data. - The time point is defined by the characteristics of the sensor signal. The moment when the shock wave first triggers any sensing node corresponds to the start of the shock. The moment when the strain signals of all sensing nodes recover to the stable value before impact corresponds to the moment when the projectile stops penetrating, ensuring that the integral interval accurately covers the entire process of the projectile's action; pass Achieving energy normalization to eliminate different types of ammunition The interference of differences is then addressed by quantifying the time-cumulative effect of energy absorption through integration. A larger integral result indicates higher efficiency and more complete process in the absorption of projectile kinetic energy by the composite material layer, which is positively correlated with the ballistic depth. As the core bridge connecting energy absorption and physical penetration depth in the model, the ordinate of the energy decay curve represents the normalized instantaneous absorbed energy. The horizontal axis represents the impact time. - .
[0020] The three-dimensional damage analysis module synchronously calculates the three-dimensional deformation of the ballistic protective layer in the damaged area, specifically through in-plane radial deformation and thickness direction compression deformation, and outputs the result after combining it with the ballistic depth model data. ; Where DDS is the ballistic depth. It is the maximum strain value in the damaged area. It is the angle between the direction of the projectile impact and the direction perpendicular to the surface of the bulletproof vest, ranging from 0° to 60°; The farther away from the damage center, the smaller the deformation; and the more extreme the impact angle, the narrower the deformation diffusion range. By integrating key influencing factors, we can ensure accurate calculations. The compression deformation in the thickness direction of the bulletproof vest is calculated using the following formula: ; Wherein, 0.83 is a simplification coefficient determined by experimental data. When the experimental projectile stops, the corresponding ballistic depth DDS will extend the compressive effect on the composite material layer to 1.2 times DDS. Substituting 1.2DDS into the equation; To reduce the real-time computational load on subsequent embedded chips, the intelligent bulletproof vest's processing layer needs to output results within seconds while ensuring controllable errors. Take an approximate value of 0.83; z is the distance from that position to the frontal surface of the body armor, ranging from 0 to the ballistic depth DDS. The dynamic strain correction factor is used to eliminate measurement errors and ensure that the calculated compressive deformation is consistent with the actual deformation. The deformation data of the above-mentioned radial deformation and thickness compression deformation are integrated into an intuitive three-dimensional deformation distribution map, i.e., deformation cloud map, through spatial coordinate transformation. This ensures that the calculation error is controllable, with the horizontal deformation error not exceeding 0.3cm and the thickness deformation error not exceeding 0.2cm. Using the three-dimensional coordinates of the damage, calculated from the time difference of shock wave propagation, with X0, Y0, and Z0 as the global origin, a Cartesian coordinate system dedicated to the bulletproof vest is established. The XY plane is parallel to the body-contact surface of the bulletproof vest and corresponds to the in-plane direction. The Z-axis is along the thickness direction of the bulletproof vest, from the impact surface to the body-contact surface, which is the positive Z-direction.
[0021] The three-dimensional damage analysis module generates damage degree, location and risk based on the corrected ballistic depth and deformation data, and constructs an emergency treatment level by combining human safety thresholds, which are red emergency treatment level, yellow emergency treatment level and green safety level. Maximum in-plane deformation at ballistic depth DDS and maximum compressive deformation in the thickness direction Using human safety thresholds as the core indicator, a three-level judgment rule is constructed, and the thresholds are compared with the corresponding emergency response levels below. Red Emergency Level: DDS ≥ 20mm or ≥3cm or If the injury is ≥2cm, the above is simplified to A and it is judged as a severe injury; Yellow Emergency Level: 10mm ≤ DDS < 20mm and 1cm ≤ <3cm and 1cm≤ <2cm, simplify the above content to B, and judge it as moderate injury; Green safety rating: DDS < 10mm and <1cm and <1cm, simplify the above content to C, and judge it as a minor injury; By using the pre-made spatial coordinates of the bulletproof vest and the human anatomical position mapping database, the three-dimensional coordinates of the injury X0, Y0, Z0 are matched with the corresponding anatomical positions, such as the middle and lower part of the sternum, the 4th-5th intercostal space of the left chest, etc. The matching accuracy error is ≤1cm, covering the protection area of key organs in the chest and abdomen. Structured information, including emergency level labels, autopsy locations, and core data, is output to a visual interactive layer. Red levels are highlighted with flashing warning boxes and accompanied by immediate emergency prompts. Yellow levels are marked with a highlighted border and include a priority inspection prompt; Green levels are displayed in regular text, with a note indicating that no urgent action is required. It supports one-click synchronization to battlefield emergency medical terminals, providing medical personnel with accurate injury location and treatment priority. Through a graded emergency medical assessment system built with human safety thresholds, it can quickly output the degree of injury, location and risk level. And through the anatomical location mapping function, it provides command centers and medical personnel with clear basis for injury assessment.
[0022] It also includes an energy management module, which uses a combination of flexible solar thin film and energy storage battery to establish a power supply connection with the computing layer, sensor array layer 4 and visualization interaction layer to ensure continuous system operation; The copper indium gallium selenide (CIGS) flexible thin-film battery is encapsulated with a light-transmitting protective coating and then attached to non-core protective areas such as the back and shoulders of bulletproof vests. The film thickness is ≤0.8mm and the areal density is ≤30g / ㎡. It comes with a 2000mAh ultra-thin lithium polymer battery with a thickness of ≤3mm, and a 50mAh miniature spare button battery pack.
[0023] A damage monitoring method for a smart bulletproof vest containing self-healing microchannels, comprising the following steps: S1: Impact signal acquisition. When a bullet impacts the composite material layer, sensor array layer 4 simultaneously initiates multi-dimensional acquisition. Pressure sensors record the shock wave trigger times at each node to generate propagation time difference data, while strain gauges acquire dynamic strain in the damaged area. The temperature-sensitive unit captures the peak temperature rise due to impact friction. The data is transmitted to the computing layer via the microchannel self-healing signal busbar layer 1; S2: Data preprocessing. The computational processing layer performs targeted purification of the raw data to eliminate interference signals and ensure the accuracy of subsequent calculations. An adaptive wavelet threshold filtering algorithm is used for filtering, based on the db4 wavelet basis. The threshold is dynamically adjusted by the local variance of the signal, which can accurately preserve the characteristics of the shock wave signal in the range of 2-8kHz. At the same time, it adaptively filters out human motion electromyography interference in the range of 50-500Hz, low-frequency vibration interference on the battlefield in the range of <1kHz, and high-frequency electromagnetic noise in the range of >10kHz. The signal-to-noise ratio of the filtered signal is improved to more than 40dB, and the distortion is ≤2%. Calculate the impact angle based on the preprocessed data. ; Thermosensitive energy coupling coefficient ; Dynamic strain correction factor and instantaneous energy absorption ; S3: Damage core parameter calculation; the three-dimensional damage analysis module calculates the ballistic depth DDS and the three-dimensional coordinates (x, y, z) of the impact point, simultaneously... , Formulas are used to calculate three-dimensional deformation data.
[0024] S4: Results output and feedback. The visualization and interaction layer outputs damage deformation distribution, damage grading and anatomical location information in the form of hierarchical labels. The data can be synchronized to the mobile terminal via encrypted Bluetooth. The microchannel self-healing signal confluence layer 1 synchronously feeds back the self-healing status, forming a complete monitoring closed loop.
[0025] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A damage monitoring system for an intelligent bulletproof vest containing self-healing microchannels, characterized in that, include: The sensing array layer (4) includes micro-strain gauges and temperature-sensitive units embedded in the composite material layer of the bulletproof vest, which are used to simultaneously collect impact energy, deformation rate of the bulletproof layer, and local friction temperature rise. The microfluidic self-healing signal bus layer (1) includes a liquid metal microfluidic circuit connected to the sensing array layer (4) and a parallel backup microfluidic channel; The computational processing layer includes an edge computing unit, an adaptive calibration unit, and a three-dimensional damage analysis module. The computational processing layer is connected to the microchannel self-healing signal confluence layer (1) and dynamically adjusts the parameters of the three-dimensional damage location and energy model according to the real-time strain of the bulletproof layer and the ambient temperature. The visualization and interaction layer is connected to the computing and processing layer to display injury assessment-related information, automatically mark red, yellow, and green emergency levels and provide anatomical location prompts; The three-dimensional damage analysis module performs analysis based on shock wave propagation time difference, energy attenuation curve, ballistic depth, three-dimensional coordinates of damage, and three-dimensional deformation of the bulletproof layer in the damaged area.
2. The damage monitoring system for an intelligent bulletproof vest with self-healing microchannels according to claim 1, characterized in that: The composite material layer includes a composite structure of a projectile-facing reinforcement layer (2), an intermediate buffer layer (3), and a body-fitting layer (5), with micro-strain gauges and temperature-sensitive units embedded at the interface between the intermediate buffer layer (3) and the body-fitting layer (5).
3. The damage monitoring system for the intelligent bulletproof vest with self-healing microchannels according to claim 1, characterized in that: The microchannel is encapsulated with conductive hydrogel wires. The conductive hydrogel uses acrylic acid or acrylamide as monomers and achieves synergistic repair of structure and conductive pathways through reversible reconstruction of internal hydrogen bonds and dynamic covalent bonds.
4. The damage monitoring system for the intelligent bulletproof vest with self-healing microchannels according to claim 3, characterized in that: The three-dimensional damage analysis module calculates the ballistic depth based on a depth model.
5. The damage monitoring system for the intelligent bulletproof vest with self-healing microchannels according to claim 3, characterized in that: The three-dimensional damage analysis module synchronously calculates the three-dimensional deformation of the ballistic protective layer in the damaged area, and outputs the results by combining the in-plane radial deformation and thickness direction compression deformation with the ballistic depth model data.
6. The damage monitoring system for the intelligent bulletproof vest with self-healing microchannels according to claim 5, characterized in that: The three-dimensional damage analysis module generates damage degree, damage location and damage risk based on the corrected ballistic depth and deformation data, and constructs an emergency treatment level by combining human safety thresholds, namely red emergency treatment level, yellow emergency treatment level and green safety level.
7. A damage monitoring method for a smart bulletproof vest with self-healing microchannels, comprising the damage monitoring system for a smart bulletproof vest with self-healing microchannels as described in any one of 1-6, characterized in that: Includes the following steps: S1: Impact signal acquisition. When the bullet hits the composite material layer, the sensor array layer (4) simultaneously starts multi-dimensional acquisition: S2: Data preprocessing, the computational processing layer performs targeted purification of the raw data to eliminate interference signals and ensure the accuracy of subsequent calculations; S3: Damage core parameter calculation. The three-dimensional damage analysis module calls the multi-parameter coupled energy-strain co-inversion model to calculate the ballistic depth DDS, the three-dimensional coordinates (x,y,z) of the impact point, and calculate the three-dimensional deformation data. S4: Results output and feedback. The visualization interaction layer outputs damage deformation distribution, damage grading and anatomical location information in the form of hierarchical labels. The data can be synchronized to the mobile terminal via encrypted Bluetooth. The microchannel self-healing signal confluence layer (1) synchronously feeds back the self-healing status to form a complete monitoring closed loop.