Personalized intelligent kneecap and monitoring system based on 3D printing and flexible sensor
By using 3D printing technology and flexible sensors in knee pads, the GYROID lattice structure and real-time monitoring system with energy absorption effect are designed, and the existing knee pad protection effect and function are insufficient, achieving more scientific protection and motion guidance.
Patent Information
- Application Number
- CN202421012423.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-10
- Publication Date
- 2025-02-07
- Estimated Expiration
- 2034-05-10
AI Technical Summary
The existing knee pads have shortcomings in terms of protective effects and functions, and cannot effectively detect impact during falls, and lack technical guidance for professional athletes during exercise.
Using a personalized intelligent knee pad design based on 3D printing and flexible sensors, including shell layer, buffer layer and skin layer. The buffer layer adopts a GYROID lattice structure with energy absorption effect, with the lattice wall thickness and unit cell number per unit volume as The thickness changes show a linear gradient, and the flexible sensor and wireless communication module can monitor the stress distribution and motion data of the knee in real time.
It achieves a more scientific protective effect, and can adjust the thickness and structure of the knee pad according to the stress distribution of the knee, providing comprehensive protection, and providing sports guidance data for professional athletes.
Smart Images
Figure CN222425405U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to a personalized intelligent kneepad and a monitoring system based on 3D printing and flexible sensors, belonging to the field of sports protective gear and medical auxiliary equipment. Background Art
[0002] Human exercise and aging can cause knee joint diseases, and the demand and market for personalized care and rehabilitation devices have increased dramatically. Studies have shown that knee pads can prevent the occurrence of knee joint diseases by reducing the angle of joint movement, absorbing and storing energy, reducing the peak reaction force, and keeping warm. At present, knee pads on the market are roughly divided into three models according to size. The protective effect on people of different body sizes is limited and affects comfort; the function of traditional knee pads is also limited, and the basic function is to protect joints and menisci. People who use knee pads are mainly the elderly and athletes. The elderly's physical functions gradually decline due to aging, which can easily lead to falls, and the consequences of falls are immeasurable. Traditional knee pads are high-frequency items used by the elderly to protect their knee joints, but they cannot detect the impact force when falling; athletes wear knee pads for sports protection, but in addition to this, traditional knee pads cannot provide more technical guidance for professional athletes during sports.
[0003] Based on the above problems, patent CN 112471638 A discloses a shock-absorbing 3D printed kneepad, which provides a kneepad with a hollow lattice structure. On the one hand, the hollow structure reduces the weight of the kneepad to a certain extent. On the other hand, compared with the traditional method of increasing the thickness to improve the absorption and dispersion of impact force, the lattice structure is adopted in the scheme. Under the premise of achieving the same buffering and energy absorption effect, the thickness of the kneepad is reduced; however, the cross lattice structure adopted in the scheme is a structure composed of crossed beams or rods. Although it can disperse and transmit force more effectively than the typical rod-shaped structure (composed of a series of parallel rods), it still has the inherent disadvantages of the rod-shaped structure itself, that is, stress concentration in certain areas, thereby affecting the uniform bearing capacity of the overall structure, and the protective effect needs to be further improved. For another example, patent CN 219661000 U discloses a new type of anti-collision kneepad, which uses an anti-collision sheet made of flexible TPU lattice, and divides the kneepad into an anti-collision area in the knee area and a support area on both sides of the knee. A low-density TPU lattice is used for the anti-collision area to provide good collision protection for the knee, while a high-density TPU lattice is used for the support area on both sides of the knee to provide longitudinal elastic support for the knee joint. Although this solution uses lattice densities that can achieve different functional effects for different areas of the knee, it only roughly divides the knee part into regions and only contains two lattice densities. Its protective effect needs to be further improved.
[0004] In summary, the protective effect of existing knee pads needs to be further improved, and the functions are relatively single. It is urgent to develop a knee pad product with multiple functions and more scientific protective effect. Utility Model Content
[0005] In order to provide a multifunctional kneepad product with a more scientific protective effect, the utility model provides a personalized intelligent kneepad and monitoring system based on 3D printing and flexible sensors.
[0006] The personalized intelligent knee pad based on 3D printing and flexible sensors provided by the utility model comprises an outer shell layer, a buffer layer and a skin-contacting layer, wherein a flexible sensor is arranged between the buffer layer and the skin-contacting layer, and the thickness of each part of the buffer layer changes linearly according to the stress condition at the corresponding knee part.
[0007] The stress condition at the corresponding knee area can be obtained by analyzing the stress distribution of the three-dimensional model of the knee under the preset bending deformation condition using finite element analysis software.
[0008] In one embodiment, the buffer layer is composed of a lattice structure with an energy-absorbing effect, and the lattice wall thickness and the number of unit cells per unit volume vary in a gradient manner with respect to the thickness.
[0009] The range of lattice wall thickness and the number of unit cells per unit volume are determined by actual tests to control the impact energy that can be absorbed per unit area to 1.09-2.11 J / cm 3 within the range.
[0010] In one embodiment, the lattice structure having the energy absorption effect includes but is not limited to a GYROID structure.
[0011] In one embodiment, the lattice wall thickness ranges from 0.8 to 1.2 mm, and the number of unit cells per unit volume ranges from 0.58 to 1 per cm 3 .
[0012] In one embodiment, the skin-contacting layer is provided with random points at locations where the stress value is less than a preset threshold value according to the stress distribution during knee bending, and ventilation holes are provided at the random points.
[0013] The preset threshold value can be determined based on experiments or experience.
[0014] In one embodiment, the flexible sensor includes but is not limited to a pressure sensor and a strain sensor, and is used to obtain the pressure at the corresponding position and the knee bending angle in real time.
[0015] In one embodiment, a plurality of the pressure sensors and strain sensors are provided and arranged in an array.
[0016] In one embodiment, the wireless communication module is disposed between the buffer layer and the skin-contacting layer.
[0017] In one embodiment, the knee pad is further provided with a wireless communication module to achieve real-time output of the data acquired by the sensor.
[0018] In one implementation, the wireless communication module may be a Wi-Fi module, a Bluetooth module, or the like.
[0019] In one embodiment, the outer shell layer and the skin-contacting layer of the kneepad are prepared by 3D printing technology based on three-dimensional scanning data of the knee of the kneepad wearer.
[0020] In one embodiment, the 3D printing technology is fused deposition modeling 3D printing technology.
[0021] In one embodiment, the outer shell layer is made of PLA material.
[0022] In one embodiment, the skin-friendly layer is made of TPU material.
[0023] In one embodiment, the pressure sensor is implemented by a flexible film pressure sensor MD30-60 model; and the strain sensor is implemented by a FLEX bending sensor.
[0024] The utility model provides a monitoring system based on 3D printing and flexible sensors, wherein the monitoring system comprises a terminal and the above-mentioned personalized intelligent knee pad, and the terminal and the personalized intelligent knee pad can realize data sharing through wireless communication.
[0025] In one embodiment, the personalized smart knee pad is also provided with an alarm module.
[0026] In one embodiment, the terminal includes a mobile phone, a wearable device, a tablet computer, a PC and a server, and the terminal is configured with a wireless communication module.
[0027] Advantages of the utility model:
[0028] The personalized intelligent kneepad based on 3D printing and flexible sensors provided by the utility model can accurately obtain the stress distribution of the knee bending process by stress analysis on the preset bending process of the knee, and then determine the thickness of the kneepad buffer layer based on the stress distribution and the impact force that different parts of the knee joint need to bear. At the same time, the buffer layer is filled with a designed lattice structure, such as a GYROID lattice. The lattice wall thickness of the GYROID lattice and the number of unit cells per unit volume are set to change with the thickness in a linear gradient, so that each part of the entire kneepad has a corresponding stress absorption function according to the stress distribution in the knee bending process, and effectively protects each part of the knee to the greatest extent and comprehensively. Furthermore, the kneepad provided by the utility model is pre-embedded with a pressure sensor and a curvature sensor, which can monitor the impact force received by the user when wearing the kneepad and the degree of bending of the knee during exercise, and provide accurate data for analyzing the force on the knee, thereby providing certain sports guidance for professional athletes. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] Figure 1 It is a schematic diagram of the final product of the kneepad provided by the utility model.
[0030] Figure 2 This is a schematic diagram of the cross-sectional structure of the knee pad provided by the utility model.
[0031] Figure 3 It is a stress-strain curve of the porous structure composed of different types of cells in the utility model during static compression.
[0032] Figure 4 It is the energy absorption curve of the porous structure composed of different types of cells in the utility model during the static compression process.
[0033] Figure 5 It is the energy absorption efficiency curve of the porous structure composed of different types of cells in the utility model during the static compression process.
[0034] Figure 6 It is a schematic diagram of the model (front and back) obtained by preprocessing in the present invention.
[0035] Figure 7 This is a schematic diagram of the preset bending deformation in the utility model.
[0036] Figure 8 It is a schematic diagram of stress point extraction in the utility model.
[0037] Fig. 9 It is a schematic diagram of the air permeability distribution (front and back) of the utility model.
[0038] Fig.10 This is a schematic diagram of the protective gear buffer module generation process in the utility model.
[0039] Fig.11 It is a schematic diagram of the GYROID lattice structure in the utility model.
[0040] Fig.12 It is a schematic cross-sectional view of the cushioning layer of the knee pad in the utility model.
[0041] Fig.13 It is a schematic diagram of the long-distance communication system in the utility model. DETAILED DESCRIPTION
[0042] The following is a specific description of the utility model.
[0043] Example 1
[0044] This embodiment provides a personalized smart knee brace based on 3D printing and flexible sensors, such as Figure 1 and Figure 2 As shown, the knee pad includes an outer shell layer, a buffer layer and a skin-contacting layer; a position for embedding a control circuit is reserved between the buffer layer and the skin-contacting layer, a sensor is arranged at the position, and air holes are arranged on the skin-contacting layer. The buffer layer is prepared by fused deposition modeling 3D printing technology, and the thickness of each part of the buffer layer is set according to the stress distribution during knee bending. The filling lattice structure of the buffer layer is GYROID, and the lattice wall thickness and the number of unit cells per unit volume change linearly with the thickness.
[0045] The stress distribution during knee bending can be obtained using finite element analysis software. First, a three-dimensional scan is performed on the knee of the knee pad user, and three-dimensional modeling is performed based on the three-dimensional scanning data to obtain a three-dimensional model of the knee pad. The three-dimensional model is imported into the finite element analysis software, and the corresponding stress analysis is obtained under the preset bending deformation. Subsequently, the thickness and structure of the buffer layer can be set according to the stress distribution under various bending deformations and the impact force that different parts of the knee joint need to withstand, and then the lattice wall thickness of the buffer layer filling lattice and the number of unit cells per unit volume are determined according to the determined thickness.
[0046] The outer shell of the kneepad is printed with PLA material, which has high hardness and good protective effect. There are round holes on it for ventilation. The skin-contacting layer is printed with TPU material, which has a soft texture and good skin-friendliness. Combined with the stress-strain distribution, random points are set in the area with small stress and strain of this layer, and polygons are filled in the random points to open ventilation holes. Fig. 9 shown.
[0047] The sensor includes a pressure sensor and a bending sensor, which are used to obtain the pressure at the corresponding position and the knee bending angle in real time. The pressure sensor is implemented by a flexible film pressure sensor MD30-60; the bending sensor is implemented by a FLEX bending sensor.
[0048] The reason why GYROID was chosen in this application is actually determined by comparing other lattice structures. The common Body centered cublic (hereinafter referred to as BCC) and Kelvin cell (hereinafter referred to as KELVIN) were selected. While controlling other factors the same, the stress-strain curves, specific energy absorption curves and energy absorption efficiency curves of the three lattice units were tested.
[0049] Figure 3 It reflects the stress-strain changes of porous structures composed of different types of cells during static compression, including BCC, KELVIN and GYROID cells used in this application. Figure 3 It can be found that during the entire compression process, the platform stress range of the GYROID structure is relatively wide, and it can absorb a large amount of energy while keeping the stress fluctuation within a small range;
[0050] Figure 4 It reflects the change of energy absorption of porous structures composed of different types of cells during static compression, including BCC, KELVIN and GYROID cells used in this application. Figure 4 It can be found that during the entire compression process, the specific energy absorption of the GYROID structure is significantly higher than that of the other two structures.
[0051] Figure 5 It reflects the change of energy absorption efficiency of porous structures composed of different types of cells during static compression, including BCC, KELVIN and GYROID cells used in this application. Figure 5 It can be found that during the entire compression process, the peak energy absorption efficiency of the GYROID structure is significantly higher than that of the other two structures, and the energy absorption efficiency is maintained at a high level in a wider strain range.
[0052] In order to determine the appropriate lattice wall thickness and the number of unit cells per unit volume, this application is based on the impact force, time and absorbed energy curves provided by "Li Ning, Jiang Yaming, Wu Yuke. Research on dynamic cushioning performance of knee protection materials [J]. Knitting Industry, 2016 (5): 9-13. DOI: 10.3969 / j.issn.1000-4033.2016.05.003." After multiple actual Gyroid sample printing and compression testing, the specific parameter range is shown in Table 1 below:
[0053] Table 1
[0054]
[0055] Example 2
[0056] This embodiment provides a method for preparing a personalized smart knee brace based on 3D printing and a flexible sensor, which is used to prepare the personalized smart knee brace provided in Example 1. The method comprises:
[0057] Step 1: Perform a three-dimensional scan on the knee of the knee brace wearer to obtain corresponding three-dimensional scanning data, and design a three-dimensional model based on the three-dimensional scanning data;
[0058] In order to overcome the problem that existing knee braces usually only provide three sizes, and some knee brace users find it uncomfortable to wear due to their different body sizes from ordinary people, a three-dimensional scan can be performed on the individual to obtain a more fitting knee brace product.
[0059] Step 2: Use finite element analysis software to analyze the stress distribution of each part of the 3D model under the preset bending deformation conditions, and record the maximum stress as σ max , the minimum stress is denoted as σ min ;
[0060] The preset bending deformation conditions can be determined according to common human body scenarios, such as various bending angles in the process of changing from standing to sitting, and the complete situation of the knee during a fall. Different bending angles can also be preset to analyze the stress distribution at different bending angles.
[0061] Determine the maximum stress σ based on the stress distribution under various bending deformation conditions max and the minimum stress σ min .
[0062] Set the maximum stress σ max The corresponding thickness h max , minimum stress σ min The corresponding thickness h min .
[0063] Step 3: Extract i stress points on the 3D model and record the stress at that point as σ i , the stress is calculated based on the set thickness ratio k as σ i The thickness value at each location is used to set the lattice wall thickness of the filling lattice and the number of unit cells per unit volume according to the thickness value at each location when the buffer layer is subsequently prepared by the fused deposition modeling 3D printing technology;
[0064] The setting of the thickness ratio k can be determined based on the stress value at the stress extraction point and the empirical boundary value of the buffer layer thickness under the selected lattice structure, where the empirical boundary value of the buffer layer thickness is the range boundary of the lattice wall thickness and the number of unit cells per unit volume obtained from actual tests.
[0065] The thickness ratio k can be calculated by linear interpolation or polynomial interpolation.
[0066] The thickness ratio k can also be directly calculated from the σ corresponding to the maximum stress point. max and h max And the corresponding σ at the minimum stress min and h min Determine, such as
[0067] The stress is σ i The corresponding thickness is h i = k(σ i -σ min )+h min .
[0068] Step 4: Set the stress threshold σ th , at stress value σ i <σ th Random points are set at the locations so that ventilation holes can be set at the corresponding skin-contacting layer and outer shell layer later;
[0069] Stress threshold σ th It can be determined empirically or based on the maximum stress σ max and the minimum stress σ min For example, when the maximum stress σ max and the minimum stress σ min If the difference is large, the stress threshold can be set to 30% of the difference between the two, or other percentage values.
[0070] The skin-contacting layer and the outer shell layer corresponding to the random points are filled with polygons, including Thiessen polygon lattices, triangular random lattices, etc., and air holes are opened to achieve good air permeability.
[0071] Step 5: According to the parameters determined in the above steps, the knee pad is prepared by using fused deposition modeling 3D printing technology. During the printing process, the parameters are set to preset a space between the buffer layer and the skin-contacting layer for subsequent placement of the flexible sensor.
[0072] A wireless communication module, such as a Wi-Fi module, can also be placed in the preset space to output the data acquired by the sensor to a mobile phone or other wearable device and a computing processor in real time, thereby providing corresponding raw data for other subsequent needs of the knee pad user.
[0073] During the printing process, each part of the knee pad can be printed separately and then assembled, or it can be achieved by integrated printing. According to the needs of different groups of people, the knee pad can be prepared in a detachable form or in an integrated wearable form.
[0074] For the outer shell layer and the skin-contacting layer, other materials can also be selected according to actual needs. For example, for the needs of the elderly, the selected materials have stability and fall resistance, which can effectively prevent the elderly from falling and getting injured. For young people, the sports function of the knee pad is emphasized. In the structural design of the knee pad, a breathable, sweat-absorbent, and soft structure is adopted to improve the comfort of the knee pad. At the same time, the design focuses on streamlines to adapt to the athlete's movement state to reduce interference or resistance during exercise. For people who are in the recovery stage of knee joint injuries or have weak lower limb strength, the side of the knee pad can be thickened in a targeted manner to provide protection and support for the human joints, effectively prevent impact injuries, and provide certain support for patients.
[0075] The utility model implants a sensor in the kneepad to measure and record the data when the kneepad is used, and judges the actual condition of the current user by sensing and transmitting the pressure and bending degree, and further transmits and analyzes the collected information. Fig.13 As shown, the hardware end is the sensor corresponding to the personalized smart knee pad provided in this application. The data acquired by the sensor is uploaded to the cloud platform through a router through the wireless communication module, and then uploaded to a smart phone, computer web page or tablet computer, and the corresponding analysis structure is presented to the user through analysis.
[0076] Example 3
[0077] This embodiment provides a specific process of a method for preparing a personalized smart knee brace based on 3D printing and flexible sensors, including:
[0078] Step 1: Use laser scanning to obtain a 3D model of the knee joint that the user needs;
[0079] Step 2: Import the 3D model obtained in the first step into the 3D design software, perform smoothing and model preprocessing, and obtain model 1, as shown in Figure 6 ;
[0080] Step 3: Import model 1 into the finite element analysis software, perform finite element analysis on the model under the preset bending deformation, and obtain the stress and strain distribution of model 1. The preset bending deformation is as follows: Figure 7 As shown, it includes the straight state shown in state 1 and the state with a bending angle of θ shown in state 2. The bending angle θ can be 30°, 45°, 60° and other different situations. More angle situations can also be set according to actual needs. The maximum stress σ is determined according to the stress distribution under various bending deformation conditions. max and the minimum stress σ min . Set the maximum stress σ max The corresponding thickness h max , minimum stress σ min The corresponding thickness hmin The thickness ratio k can be directly calculated from the σ corresponding to the maximum stress point. max and h max And the corresponding σ at the minimum stress mi n and h min Determine, such as
[0081] Step 4: Based on the third step, extract several stress points i at specific locations, such as Figure 8 , the maximum stress in the corresponding bending process is σ i , corresponding to the thickness h i = k(σ i -σ min )+h min The corresponding thickness of the extraction point of model 1 is set in the 3D design software, and the thickness distribution of the knee pad is generated by linear gradient to obtain model 2;
[0082] Step 5: Based on model 2, according to the stress distribution obtained in step 3, set random points in the area with less stress in the 3D design software, fill the random points with polygons, such as Thiessen polygon lattice, triangular random lattice, etc., open vents, and obtain model 3 as shown in the figure. Fig. 9 ;
[0083] Step 6: According to the user's needs for knee pad performance, personalized parameter settings are performed, including offset thickness, number of unit cells per unit volume, and dendrite thickness. The specific process is: in the 3D design software, the model 3 is offset outward by a certain thickness d, 4 auxiliary planes are set, and Boolean operations are performed on the planes and the knee pads, such as Fig.10 , and then the edge rounding and other processing are performed to obtain the buffer module 1 of the knee pad, and the GYROID lattice is filled in the area with the module 1 as the area, such as Fig.11 , get module 2, such as Fig.12 ), then perform Boolean operation on module 2 and model 3 to obtain model 4;
[0084] Step 7: Determine whether to add the knee pad support strip according to user needs. The specific establishment method is similar to step 6;
[0085] Step 8: Different types of sensors will correspond to different sizes of embedded spaces. The specific process is as follows: In the 3D design software, based on model 4, at the contact surface between the knee pad surface and module 2, stretch and cut out the pre-embedded space for the sensor, such as Figure 2 , and get model 5;
[0086] Step 9: Decide whether to segment the model based on the needs of different users. For example, for patients who are not suitable for walking, the model needs to be segmented for subsequent wearing and assembly; while for athletes and other groups, the knee brace remains intact and is formed in one piece;
[0087] Step 10: Import the above-obtained three-dimensional model of the knee pad into a slicing software for slicing to generate a print file containing printing information;
[0088] Step 11: Import the print file into the 3D printer for printing, and use printing materials of different hardness or a combination of soft and hard materials according to user needs;
[0089] Step 12: Print the solid knee pad, embed the flexible sensor into the reserved position of the knee pad, assemble the divided knee pad, and the one-piece knee pad can be worn directly.
[0090] Step 13: During the use of the knee brace, the test data is transmitted to the user end via the remote communication system. The remote communication system structure is as follows: Fig.13 shown.
[0091] Step 14: Perform debugging to ensure that the detected data is correct and can be transmitted to the user end normally.
[0092] Example 4
[0093] This embodiment provides a monitoring system based on 3D printing and flexible sensors. The monitoring system includes a terminal and the personalized smart knee pad provided in Embodiment 1. The terminal is equipped with a wireless communication module, and data sharing can be achieved between the terminal and the personalized smart knee pad through wireless communication.
[0094] The personalized smart knee pad is also equipped with an alarm module. When the pressure sensor and strain sensor detect that the pressure on the knee is greater than a certain value, an alarm message is sent to the terminal to remind the relevant personnel to take corresponding measures.
[0095] Terminals include mobile phones, wearable devices, tablets, PCs and servers.
[0096] The working principle of this utility model:
[0097] When the kneepad wearer wears the kneepad provided by the utility model, the pressure on the knee and the knee bending angle can be obtained in real time through the pressure sensor and the strain sensor, and transmitted to the terminal through the wireless communication module for data analysis and storage.
[0098] Although the present invention has been disclosed as above in terms of preferred embodiments, it is not intended to limit the present invention. Anyone familiar with the technology may make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the definition of the claims.
Claims
1. A personalized smart knee brace based on 3D printing and flexible sensors, characterized in that: The kneepad comprises an outer shell layer, a buffer layer and a skin-contacting layer, wherein a flexible sensor is arranged between the buffer layer and the skin-contacting layer, and the thickness of each part of the buffer layer changes linearly according to the stress condition at the corresponding knee part.
2. The personalized smart knee brace based on 3D printing and flexible sensors according to claim 1 is characterized in that: The buffer layer is composed of a lattice structure with an energy-absorbing effect, and the lattice wall thickness and the number of unit cells per unit volume vary in a gradient manner with respect to the thickness.
3. The personalized smart knee brace based on 3D printing and flexible sensors according to claim 2 is characterized in that: The lattice structure having the energy absorption effect includes but is not limited to a GYROID structure.
4. The personalized smart knee brace based on 3D printing and flexible sensors according to claim 3 is characterized in that: The skin-contacting layer is provided with random points at locations where the stress value is less than a preset threshold value according to the stress distribution during knee bending, and ventilation holes are opened at the random points.
5. The personalized smart knee brace based on 3D printing and flexible sensors according to claim 4, characterized in that: The flexible sensor includes but is not limited to a pressure sensor and a strain sensor.
6. The personalized smart knee brace based on 3D printing and flexible sensors according to claim 5, characterized in that: The knee pad is also provided with a wireless communication module.
7. The personalized smart knee brace based on 3D printing and flexible sensors according to claim 6, characterized in that: The outer shell layer and the skin-contacting layer of the kneepad are prepared by 3D printing technology based on three-dimensional scanning data of the knee of the kneepad wearer.
8. A monitoring system based on 3D printing and flexible sensors, characterized in that: The monitoring system comprises a terminal and the personalized smart knee brace according to any one of claims 1 to 7, and the terminal and the personalized smart knee brace can realize data sharing through wireless communication.
9. The monitoring system based on 3D printing and flexible sensors according to claim 8, characterized in that: The personalized intelligent knee pad is also provided with an alarm module.
10. The monitoring system based on 3D printing and flexible sensors according to claim 9, characterized in that: The terminal includes a mobile phone, a wearable device, a tablet computer, a PC and a server, and the terminal is equipped with a wireless communication module.