Ergonomic pressure distribution combined outdoor jacket production process

Abstract

The invention relates to the technical field of mountaineering jacket production, in particular to a production process of a mountaineering jacket combined with ergonomic pressure distribution. Comprising the following steps: constructing a dynamic ergonomic model: collecting three-dimensional point cloud data of a target human body in a typical motion posture, and fusing to generate a dynamic three-dimensional digital human body model containing skin elongation and joint motion range information; designing a quantitative pressure distribution map; and based on the dynamic three-dimensional digital human body model, dividing the human body surface covered by the mountaineering jacket into a plurality of functional pressure areas. According to the invention, by constructing the dynamic ergonomic model, designing the quantitative pressure distribution map and combining simulation optimization, the conversion from static experience design to dynamic scientific planning is realized, so that the problems of poor dynamic suitability, unscientific pressure distribution and difficulty in accurate realization of the production process of the traditional outdoor jacket are systematically solved; the sports fitting degree, the scientific supporting performance, the wearing comfort and the overall performance of the clothes are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of outdoor jacket manufacturing technology, and more specifically, to a manufacturing process for outdoor jackets that incorporate ergonomic pressure distribution. Background Technology

[0002] A waterproof and breathable jacket is an outdoor functional outerwear piece made of waterproof and breathable fabric. Its core functions are windproof, waterproof, and breathable, making it suitable for activities such as mountaineering and hiking. Its name originates from the scene of mountaineers wearing light gear during the initial ascent to the summit. As a core functional garment in the outdoor sports field, the design of waterproof and breathable jackets has long focused on the protective properties of the fabric, including waterproofness, windproofness, and breathability, as well as the overall protective structure of the garment. Current manufacturing processes for waterproof and breathable jackets are relatively mature, typically involving a series of steps including fabric lamination (such as bonding a waterproof and breathable membrane), pattern design, cutting, sewing, seam sealing, and accessory assembly.

[0003] However, with the popularization of outdoor sports and the increasing demands of users for wearing experience, the existing production process of outdoor jackets has gradually revealed some problems and defects, especially in terms of the comfort of the clothing's dynamic fit to the human body.

[0004] For example, traditional manufacturing processes primarily rely on two-dimensional pattern design based on static human body dimensions, followed by cutting and sewing. While this method ensures a basic fit, it severely neglects the contraction and deformation patterns of muscles and joints in different parts of the body during movement (such as hiking, climbing, and running). As a result, rain jackets made in this way can easily cause unexpected pressure, strain, or wrinkles in key areas of movement such as the shoulders, elbows, knees, and armpits during user activity. This not only restricts freedom of movement but, with prolonged wear, can also lead to muscle fatigue or poor blood circulation due to excessive localized pressure, affecting athletic performance and comfort.

[0005] Furthermore, current manufacturing processes rarely incorporate pressure as a core design parameter. The pressure exerted on the body by clothing primarily stems from the garment's size and the use of elastic fabrics. However, this pressure is often applied evenly or empirically, lacking a scientific and quantifiable ergonomic pressure distribution design. While some styles using elastic fabrics offer a certain degree of fit, they fail to differentiate pressure planning and implementation for different body areas (such as the high-pressure shoulder straps, the core torso requiring moderate compression, and the sides and joints requiring less restriction). This results in clothing that is either too loose overall (lacking support for movement and efficient warmth) or too tight overall (impeding movement and breathing), failing to achieve an optimized pressure distribution that is neither too tight nor too loose when necessary.

[0006] Furthermore, even when ergonomics or pressure factors are considered in the design, traditional cutting and sewing processes struggle to accurately achieve complex three-dimensional curves and varying pressure requirements. For example, conventional flat cutting and straight-line sewing cannot perfectly fit the human body's curves. Using the same or simply gradient fabrics, padding, or elastic materials in different areas makes it impossible to precisely control local pressure values. Seam sealing strips, designed for waterproofing, often create rigid strips at seams, potentially generating additional hard pressure points in certain areas. The entire production process lacks effective technical means to systematically and repeatably translate a pre-defined ergonomic pressure distribution pattern through material selection, structural design, and sewing processes. Summary of the Invention

[0007] The purpose of this invention is to provide a manufacturing process for a rain jacket that incorporates ergonomic pressure distribution, in order to solve the problems of poor dynamic adaptability, unscientific pressure distribution, and difficulty in accurately implementing the manufacturing process in the existing rain jacket manufacturing processes mentioned in the background art.

[0008] To achieve the above objectives, the present invention aims to provide a manufacturing process for an ergonomically designed pressure-distribution rain jacket, comprising the following steps: S1. Construct a dynamic ergonomic model: Collect 3D point cloud data of the target human body in typical motion postures, and fuse them to generate a model that includes skin extensibility. A dynamic three-dimensional digital human body model with joint range of motion information; S2. Design a quantitative pressure distribution map: Based on the aforementioned dynamic three-dimensional digital human body model, divide the human body surface covered by the rain jacket into... The functional pressure zone, and for the first Set target pressure value for each functional pressure zone. This forms the initial pressure distribution map; S3. Material Mapping and Pressure Simulation Optimization: Based on the target pressure values ​​of each functional pressure zone... The dynamic surface curvature and expected deformation are matched with the corresponding fabric elastic modulus from a pre-set material database. With thickness The matching results and 3D clothing patterns are imported into the simulation system, and mechanical calculations are performed using a finite element model to simulate the pressure distribution of the clothing on a dynamic human body model, thus performing virtual wearing pressure distribution. calculate, ,in Let be the vector of the material's elastic modulus. Let the material thickness vector be... For the geometric parameter vector of the human body surface, To determine the expected strain field, based on simulation results and the target pressure value... Based on the differences, iteratively optimize the material matching scheme and 3D clothing pattern to generate the final pressure distribution-material mapping scheme and the optimized 3D clothing pattern; S4. Intelligent cutting: Based on the final pressure distribution-material mapping scheme, the CNC cutting bed is driven to automatically identify and precisely cut the differentiated materials corresponding to different functional pressure zones to obtain cut pieces; S5. Adaptive sewing and lamination: Sewing is performed using sewing tension and thread that matches the elasticity of the fabric in the functional pressure zone. In functional pressure zones that require localized reinforcement, a flexible support pad of a pre-designed shape is laminated using heat pressing or ultrasonic processes. S6. Seam sealing: Use an elastic waterproof seam sealing strip to seal the seam, and the elastic modulus of the seam sealing strip matches the elastic modulus of the adjacent fabric. S7. Finished Product Verification and Feedback: Produce finished sample garments and use a testing system with built-in pressure sensors to collect data on the actual wearing pressure distribution. Data, will Data and target pressure values The comparison is performed, and the difference data is fed back to steps S2 and S3 to optimize the pressure distribution model and material mapping rules. The test system is a flexible fabric pressure sensing garment worn on a standard pressure test dummy.

[0009] As a further improvement to this technical solution, the typical motion postures in step S1 include a static upright posture, a posture with both arms raised vertically, a lunge forward bend posture, a posture with both arms extended horizontally, and a simulated weight-bearing state.

[0010] As a further improvement to this technical solution, the specific steps for constructing the dynamic ergonomic model in step S1 are as follows: S11. Multi-pose 3D data acquisition: Use a 3D human body scanner to acquire 3D point cloud data of the entire surface of the target human body in typical motion postures; S12. Point cloud data preprocessing and registration: Denoise, smooth and fill holes in the collected point cloud data of each posture. At the same time, using the point cloud data of the static upright posture as the reference, the iterative nearest point algorithm is used to register the point cloud data of other moving postures to the same coordinate system to ensure that all posture data have a consistent topological structure and correspondence. S13. Calculation of Dynamic Skin Extensibility and Joint Range of Motion: On the registered multi-pose point cloud model, key anatomical markers and skin feature lines connecting these points are defined. By calculating the length change of the same skin feature line under different poses, skin extensibility is quantified. For the first A feature line, which in motion posture Elongation under It can be represented as: ,in This is the length of the feature line in a static orientation. For the feature line in motion posture The maximum length of the joint is determined, and the angular changes between adjacent segments at key joints are analyzed to form joint range of motion data. At the same time, its three-dimensional range of motion is calculated and recorded. S14. Dynamic 3D Digital Human Model Generation: The registered multi-pose point cloud data are fused to construct a geometric model that can represent the continuous changes of the skin surface with pose.

[0011] As a further improvement to this technical solution, in step S2 The functional pressure zones include a high-stability pressure zone, a medium-support and wrapping zone, a low-restraint and high-mobility zone, and a mechanical transition zone, among which a preset basic comfort pressure threshold is defined. Target pressure value in the high-stability pressurization zone > Target pressure value in low-constraint, high-activity zone < The target pressure value of the moderate support and containment zone Set at and The target pressure value in the mechanical transition zone is determined using a smooth transition function.

[0012] As a further improvement to this technical solution, the pre-set material database in step S3 includes the warp elastic modulus of the fabric. 2. Weft elastic modulus ,thickness gram , tensile recovery rate Poisson's ratio In addition to waterproof and breathable performance parameters, step S3 is based on the target pressure value of each functional pressure zone. The dynamic surface curvature and expected deformation are matched with the corresponding fabric elastic modulus from a pre-set material database. With thickness The specific matching principle is as follows: For the high-stability pressurization region, it satisfies > And its expected deformation Less than the preset first deformation threshold Then, materials that meet the requirements will be selected from the materials database. and All are greater than the preset high modulus threshold. And tensile recovery rate Within the preset response rate range The inner fabric.

[0013] For the low-constraint, high-activity zone, it satisfies < And its expected deformation Greater than the preset second deformation threshold (in > Then, materials that meet the requirements will be selected from the material database. and All are less than the preset low modulus threshold. And tensile recovery rate Greater than the preset high response rate threshold The fabric.

[0014] For the moderate support and containment zone and the mechanical transition zone, the expected deformation is... satisfy ≤ ≤ Then, it will be selected from the materials database. and Between and Between, and tensile recovery rate Within the preset response rate range The inner fabric.

[0015] As a further improvement to this technical solution, the specific operation steps of intelligent cropping in step S4 are as follows: S41. Cutting File Generation and Transmission: Input the final pressure distribution-material mapping scheme generated in step S3 and the optimized 3D garment pattern into the computer-aided manufacturing system. The computer-aided manufacturing system performs the following operations: Flattening process: Flattening the 3D garment pattern into a 2D pattern piece in a virtual state; Layout and path planning: Based on the specific fabric model corresponding to each cut piece, the layout is automatically performed while taking into account the fabric width, texture direction and material saving principles. At the same time, a cutting path file that can be recognized by the CNC cutting bed is generated for each cut piece. Information integration: The cutting path file integrates the unique identifier of each piece, the functional pressure zone number, the specified fabric model code, and the cutting sequence instructions; File transfer: The final cutting file is transmitted to the control system of the CNC cutting machine via the network; S42. Fabric loading and identification: Different types of fabric rolls specified in the final pressure distribution-material mapping scheme are loaded onto the corresponding feeding racks of the CNC cutting bed. Each roll of fabric is associated with the material performance parameters in the database through an RFID tag or QR code to achieve automatic identification. S43. Automatic Recognition and Cutting: After reading the cutting file, the CNC cutting bed control system drives the cutting bed to execute: Automatic material selection: According to the cutting instructions, the feeding system of the cutting bed automatically selects and positions the corresponding fabric roll.

[0016] Fabric laying and cutting: The fabric laying device lays the fabric as needed, and the cutting head uses a vibrating knife, laser or high-pressure water jet to cut the differentiated materials corresponding to different functional pressure zones according to the planned path. S44. Sorting and Labeling of Cut Pieces: After cutting, the cut pieces are sorted according to style, size and functional pressure zone based on the label. Each piece is attached with a label containing the fabric model to provide clear guidance for subsequent sewing processes.

[0017] As a further improvement to this technical solution, the specific operational steps of adaptive sewing and lamination in step S5 are as follows: S51. Differentiated Sewing Parameter Setting: Based on the characteristics of the functional pressure zone of the fabric pieces to be sewn, differentiated process parameters are pre-set on the digital sewing equipment, specifically including: Sewing tension: For low-restraint, high-activity areas, set lower bottom and top thread tensions to prevent the seams from restricting the fabric's elasticity. For high-stability, high-pressure areas, use standard or slightly higher tensions to ensure strong stitches. Thread selection: Use sewing thread that matches the elasticity of the fabric in the functional area; Stitch type and density: For seams that need to withstand greater tensile force, reinforced chain stitch or double needle stitch is used; for seams in active areas, four- or five-thread overlay stitch is used. S52. Piece Alignment and Sewing: According to the process sheet and piece markings, align the pieces from different functional areas in sequence and sew them according to the preset parameters. S53. Flexible Support Pad Composite: For functional pressure areas requiring localized reinforcement, a pre-shaped flexible support pad is composited onto the inner side of the corresponding cut piece using the following process: Padding positioning: Position the pre-cut flexible support pads according to the design shape in the designated area of ​​the cut piece; Hot-press lamination: Using a flatbed hot press or roller hot press equipment, the padding is hot-melted and bonded to the back of the fabric under set temperature, pressure and time. S54. Inspection of semi-finished products: Inspect the semi-finished products that have been sewn and laminated with padding, and check the quality of the stitches, the accuracy of the padding position, and whether there are any accidental wrinkles or twists caused by improper sewing.

[0018] As a further improvement to this technical solution, the specific operation steps of the pressure sealing in step S6 are as follows: S61. Selection and preparation of adhesive strips: Select an elastic waterproof adhesive strip that matches the elastic modulus of the adjacent fabric in the seam area. S62. Seam pretreatment and sealing: When treating the seam, ensure that the seam to be sealed is flat and clean. At the same time, use a special sealing machine to accurately deliver the selected sealing strip to the seam. Through the heating roller or hot press head, at a temperature of 120℃-180℃, the hot melt adhesive on the back of the sealing strip melts and is pressed onto the fabric at the seam to form a continuous sealing strip. S63. Cooling and Quality Inspection: After the adhesive is pressed, the part is cooled and shaped, and then a preliminary quality inspection is carried out to check the flatness of the adhesive strip, the adhesion strength, and whether there are defects such as missing adhesive and air bubbles.

[0019] As a further improvement to this technical solution, the specific operational steps for finished product verification and feedback in step S7 are as follows: S71. Test System Preparation and Attire: The flexible fabric pressure sensing garment with a built-in high-density flexible pressure sensor array is worn on the standard pressure test dummy. The dummy has a body shape and joint mobility that match the dynamic three-dimensional digital human body model. The spatial distribution of the sensor array covers all functional pressure zones. The finished sample of the down jacket is then worn on the test dummy equipped with the pressure sensing garment and adjusted to a natural wearing state. S72. Simulated Motion and Data Acquisition: The test dummy is driven to simulate typical motion posture cycles. During the stable phase of each typical motion posture, the real-time pressure distribution data transmitted from the pressure-sensing garment is synchronously recorded through the data acquisition system. , It is related to simulated pressure Spatial pressure field data corresponding to the dimension; S73. Data Comparison and Analysis: Compare and analyze the collected actual pressure distribution data. Spatially align and quantize the pressure distribution map with the initial pressure distribution map set in step S2, and calculate the actual average pressure within each functional pressure zone. With target pressure value deviation And analyze the consistency of the overall pressure distribution pattern; S74. Feedback and Optimization: Feedback of the difference data to steps S2 and S3 is used to optimize the pressure distribution model and material mapping rules.

[0020] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention, by setting up a dynamic ergonomic model construction step, transforms the basis of clothing design from static dimensions to multi-posture three-dimensional data that includes skin stretch rate and joint range of motion, thereby accurately reflecting the real deformation law of the human body in motion. This solves the problems of limited dynamic movement, local compression or wrinkle accumulation caused by traditional static tailoring, and significantly improves the fit and freedom of movement of the jacket in motion.

[0021] 2. This invention transforms the application of pressure in clothing from uniform, empirical pressure to a scientifically quantitative design based on functional zones and target pressure values ​​by setting up a quantitative pressure distribution map design and material mapping simulation optimization steps. Through finite element simulation and iterative optimization, it achieves a precise match between material properties and pressure targets, thereby realizing scientific support and pressure management for the human body, which is tight when it needs to be tight and loose when it needs to be loose. This comprehensively improves the clothing's movement support, warmth retention efficiency, wearing comfort, and protective function.

[0022] 3. This invention sets up intelligent cutting, adaptive sewing, and seam sealing steps based on the final pressure distribution-material mapping scheme, enabling differentiated material selection and complex three-dimensional curved surface design to be transformed into physical garments through precise cutting on a CNC cutting bed, differentiated sewing parameters, and matching elastic seam sealing technology. This solves the problem that traditional processes cannot accurately achieve differentiated pressure requirements and fit complex curved surfaces, thereby ensuring the high-fidelity realization of design intent in the manufacturing process.

[0023] 4. By setting up finished product pressure verification and closed-loop feedback steps, this invention enables the actual wearing pressure data collected by the pressure-sensing garment to be quantitatively compared with the initial design target, and feeds the difference data back to the pressure distribution model and material mapping rules, thereby forming a closed-loop process system of design-simulation-manufacturing-testing-optimization, and thus realizing the continuous self-optimization of production process parameters and the stable improvement of product performance. Attached Figure Description

[0024] Figure 1 This is a flowchart illustrating the overall process flow of the present invention.

[0025] Figure 2 This is a schematic diagram of the construction and pressure zoning of the dynamic human body model of the present invention.

[0026] Figure 3 This is a logic block diagram for pressure simulation optimization and material matching in this invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] In one specific embodiment, such as Figure 1 As shown, this invention provides a manufacturing process for a rain jacket incorporating ergonomic pressure distribution, specifically including the following steps: Step 1: Construct a dynamic ergonomic model: Collect 3D point cloud data of the target human body in typical motion postures, and fuse them to generate a model that includes skin extensibility. A dynamic 3D digital human body model with information on joint range of motion. Specifically: 1. Multi-pose 3D data acquisition: Using a 3D human body scanner (such as structured light or laser scanning equipment), 3D point cloud data of the entire surface of the target human body were acquired in various preset typical outdoor sports postures. These postures included at least: a static upright posture (baseline posture), a posture with arms raised vertically, a lunge posture, a posture with arms extended horizontally, and a posture simulating a weight-bearing state. During the acquisition of each posture, the human body was ensured to be at the stability limit or the endpoint of the common range of motion of that posture to obtain the maximum deformation data.

[0029] 2. Point cloud data preprocessing and registration: The acquired point cloud data for each attitude are denoised, smoothed, and hole-filled. Using the point cloud data of the static upright attitude as a reference, the point cloud data of other moving attitudes are registered to the same coordinate system using the iterative nearest point algorithm or other point cloud registration algorithms, ensuring that all attitude data have a consistent topological structure and correspondence.

[0030] 3. Calculation of dynamic skin stretch rate and joint range of motion: On the registered multi-pose point cloud model, a series of key anatomical landmarks (such as the acromion, elbow, and anterior superior iliac spine) and skin feature lines connecting these points (such as the axillary circumference and rotator cuff curve) are defined. Skin extensibility is quantified by calculating the length variation of the same skin feature line under different poses. For the first A feature line, which in motion posture Elongation under It can be represented as: ,in This is the length of the feature line in a static orientation. For the feature line in motion posture The maximum length below. By analyzing the angular changes between adjacent segments at key joints (such as the shoulder, elbow, and hip joints), joint range of motion data is generated, and its three-dimensional range of motion is calculated and recorded.

[0031] 4. Dynamic 3D digital human body model generation: The registered multi-pose point cloud data are fused to construct a geometric model that can represent the continuous changes of the skin surface with pose. This is achieved by constructing a parametric model or deformable mesh, where pose parameters (such as joint angles) are used as input and the corresponding surface shape is used as output. The calculated skin extensibility is then used. The range of motion data of the joints is used as attribute data and associated with the corresponding regions (mesh vertices or faces) of the digital human body model. The final generated model not only contains the geometry in a static state, but more importantly, it contains the skin's ability to stretch and deform during movement and the kinematic constraints of the joints, forming a dynamic three-dimensional digital human body model.

[0032] By collecting and registering multi-pose 3D data, the actual deformation of the human body during movement is directly measured rather than estimated, thus providing a precise and quantitative basis for the form and biomechanics of subsequent clothing design based on dynamic adaptation.

[0033] Step 2: Design a quantitative pressure distribution map: Based on the aforementioned dynamic three-dimensional digital human body model, the surface of the human body covered by the rain jacket is divided into... The functional pressure zone, and for the first Set target pressure value for each functional pressure zone. This forms an initial pressure distribution map, such as Figure 2 As shown. Specifically: 1. Functional pressure zone division: Based on the aforementioned dynamic three-dimensional digital human body model, and according to human anatomical structure, biomechanical characteristics, and the functional requirements of the rain jacket, the human body surface covered by the rain jacket (mainly the torso, shoulders, and upper limbs) is systematically divided into... Several interconnected functional pressure zones. The criteria for this division include, but are not limited to: Skin stretch rate in different regions during typical exercise ; The anatomical location and deformation characteristics of the main bones and muscle groups below during movement; The main functions that clothing needs to perform in this area (such as load-bearing, protection, warmth, and ensuring freedom of movement).

[0034] Typical divisions include, but are not limited to: a high-stability compression zone (covering the shoulder straps, upper back, and hem of clothing), a medium-support and wrapping zone (covering the chest and back core areas), a low-restraint, high-mobility zone (covering the armpits, inner elbows, and surrounding areas), and a biomechanical transition zone connecting the above zones.

[0035] 2. Target pressure value setting: Set a quantified target pressure value for each functional pressure zone. The unit is hectopascal (hPa) or millimeters of mercury (mmHg). Target pressure value. The design is based on ergonomic comfort studies, research on the impact of pressure on muscles and the circulatory system in sports medicine, and the functional requirements of clothing, such as: Target pressure value in the high stability pressurization zone Set to relatively high, and must meet the following requirements. > , The preset baseline comfort pressure threshold ( =20hPa (this value is a static pressure reference value that will not cause significant discomfort when worn for a long time), which is intended to provide stability when the backpack is under load and windproof sealing of the clothing hem.

[0036] Target pressure value in low-constraint, high-activity zone Set to a relatively low level, which must meet the following requirements. < This is to ensure that joint movement is not restricted and to avoid obstruction of blood circulation.

[0037] Target pressure value of moderate support and containment zone Set at and The design aims to provide adequate muscle coverage and support while ensuring smooth breathing.

[0038] The target pressure value in the mechanical transition zone is determined using a smooth transition function (such as linear or spline interpolation) to achieve a natural gradual change in pressure between adjacent functional pressure zones.

[0039] 3. Generation of initial pressure distribution map: The target pressure value set in the above steps This is done by associating and integrating the spatial location information of the divided functional pressure zones. Attribute data (i.e., target pressure values) is then added to the corresponding area mesh or surface patch of the dynamic 3D digital human body model. This process generates a spatially resolved initial pressure distribution map attached to the three-dimensional surface of the human body. This map, presented as a visual color map or a digital data array, clearly defines the specific pressure targets that clothing should ideally apply to different parts of the body. This map will serve as the core input and evaluation benchmark for subsequent material selection, structural design, and process optimization.

[0040] Step 3: Material Mapping and Pressure Simulation Optimization: Based on the target pressure values ​​of each functional pressure zone... The dynamic surface curvature and expected deformation are matched with the corresponding fabric elastic modulus from a pre-set material database. With thickness The matching results and 3D clothing patterns are imported into the simulation system, and mechanical calculations are performed using a finite element model to simulate the pressure distribution of the clothing on a dynamic human body model, thus performing virtual wearing pressure distribution. calculate, ,in Let be the vector of the material's elastic modulus. Let the material thickness vector be... For the geometric parameter vector of the human body surface, To determine the expected strain field, based on simulation results and the target pressure value... The differences are analyzed, and the material matching scheme and 3D clothing pattern are iteratively optimized to generate the final pressure distribution-material mapping scheme and the optimized 3D clothing pattern. For example... Figure 3 As shown, specifically: 1. Establish and call up the preset material database: based on the target pressure values ​​of each functional pressure zone. The dynamic surface curvature and expected deformation are matched with the corresponding fabric elastic modulus from a pre-set material database. With thickness Specifically: The system accesses a pre-built material database that stores standardized mechanical and physical property parameters for various functional fabrics. Each fabric's parameters include its warp modulus of elasticity. 2. Weft elastic modulus ,thickness gram , tensile recovery rate Poisson's ratio Including waterproof and breathable performance indicators. These parameters were pre-determined and recorded through standard material testing.

[0041] The first step is divided according to the above steps. Each functional pressure zone, combined with its target pressure value The average surface curvature of this region on the dynamic three-dimensional digital human body model and by skin extensibility The expected maximum deformation of the derived value (Expected maximum deformation) (Used to characterize the most extreme tensile or compressive strain in this region during target motion), a material matching algorithm is executed. The matching algorithm follows these principles: For the high-stability pressurization region, it satisfies > And its expected deformation Less than the preset first deformation threshold ( =0.08, below this threshold is considered to be small deformation, corresponding to regions such as high-stability pressurized areas), then materials that meet the requirements are selected from the material database. and All are greater than the preset high modulus threshold. ( =80MPa, fabrics meeting this condition are usually low-elasticity, abrasion-resistant base fabrics, such as high-density nylon or polyester fabrics, and have a tensile recovery rate of 80MPa. Within the preset response rate range ( =85%, =95%, the high stability zone still requires high deformation recovery ability of the fabric.

[0042] For the low-constraint, high-activity zone, it satisfies < And its expected deformation Greater than the preset second deformation threshold (in > , =0.15, above this threshold is considered to be a large deformation (corresponding to the low-constraint, high-activity region), then materials that meet the requirements are selected from the material database. and All are less than the preset low modulus threshold. ( =20MPa, fabrics meeting this condition are usually high-elasticity spandex blends or elastic knitted fabrics, and have a tensile recovery rate of 20MPa. Greater than the preset high response rate threshold ( =90%, low restraint zone requires the fabric to quickly return to its original shape after undergoing large deformation.

[0043] For the moderate support and containment zone and the mechanical transition zone, the expected deformation is... satisfy ≤ ≤ Then, it will be selected from the materials database. and Between and Between, and tensile recovery rate Within the preset response rate range ( =80%, =90%, the requirement for fabric recovery rate in the medium support zone can be slightly lower than that in the high activity zone.

[0044] The above threshold data are based on the performance test statistics of commonly used outdoor functional fabrics (according to standards such as GB / T 39176-2020 "Determination of Elasticity of Textile Fabrics"), biomechanical studies of human skin stretching (the safe stretching limit of skin is generally considered to be around 15%-20%), and studies on clothing pressure comfort (comfort pressure threshold range).

[0045] Based on the above rules, the algorithm outputs a recommended fabric model and its corresponding fabric elastic modulus for each functional pressure zone. With thickness Among them, the elastic modulus Based on the expected mechanical state of the region and the anisotropic properties of the fabric, the warp elastic modulus is... and latitudinal elastic modulus The weighted calculation is obtained, and the specific calculation formula is as follows: in, and Matching to the first The elastic modulus (in MPa or N / m) of the fabric in each functional pressure zone in its warp and weft directions. 2 ). and These are the meridional and zonal weighting coefficients corresponding to the functional pressure zone, respectively, and satisfy the following conditions: + =1.

[0046] Weighting coefficient and It is determined by the principal strain direction of the functional pressure zone under the target's motion posture.

[0047] First, based on the dynamic three-dimensional digital human body model and functional stress zones constructed in the above steps, simulation analysis or biomechanical models are used to predict the stress zones when the human body is in key movement postures (such as arm raising or lunge). The expected principal strain direction of the skin surface in each functional pressure zone.

[0048] Then, the expected principal strain direction is compared with the warp and weft directions of the fabric (usually defined as: the direction along the selvage is the warp direction, and the direction perpendicular to the selvage is the weft direction).

[0049] Next, the angle between the expected principal strain direction and the warp direction of the fabric is calculated. .

[0050] Finally, the weighting coefficients are determined based on the included angle. Simply allocate the resources. For example: , This allocation method is based on the cosine square law of modulus variation with direction for orthotropic materials under plane stress in mechanics of materials. It states that when the principal strain direction is perfectly aligned with the meridional direction (…),… At 0°, the elastic modulus Completely composed of meridional elastic modulus Contribution; and when it is completely consistent with the latitudinal direction ( At 90°, the elastic modulus Modulus of elasticity entirely in the latitudinal direction Contribution; from other perspectives, it is a weighted average of the two.

[0051] Furthermore, the surfaces of dynamic 3D digital human models are typically represented by triangular meshes. For the... The average surface curvature of the grid area covered by each functional pressure zone The specific calculation steps are as follows: Vertex Gaussian curvature and mean curvature calculation: For any grid vertex within the region A discrete curvature estimation algorithm based on Voronoi region or triangular area is employed. Its Gaussian curvature is calculated. and mean curvature For example, using a discrete differential geometry method based on the transformation of the normal vectors of vertex neighborhood triangles, the formula can be expressed as: in, Mesh vertices The set of adjacent vertices, Are adjacent triangles in The interior angle at that point, Mesh vertices Voronoi area or mixed area and Is with the edge Two opposite angles.

[0052] Calculation of average curvature of the region: This involves calculating the functional pressure zone. All Average curvature of vertices The average surface curvature of the region is obtained by performing an area-weighted average. The absolute value is used here because in clothing pressure analysis, the convexity or concavity (positive or negative) of curvature has different effects on contact pressure, and the magnitude of the absolute value represents the severity of the curvature bending, which is a key geometric parameter affecting the ease of fabric bonding and pressure distribution.

[0053] Expected maximum deformation The specific calculation steps are as follows: Characteristic line strain extraction: Based on the elongation calculated in the above steps For those that are entirely or primarily located in the first The first functional pressure zone A feature line, which in all simulated motion postures In the middle, take the maximum tensile normal strain. and maximum compressive negative strain (Usually negative values).

[0054] Determining the maximum deformation in a region: Compare the extreme strains of all characteristic lines within the region, and take the strain with the largest absolute value as the expected maximum deformation in that region. This ensures that the material matching can adapt to the most extreme deformation conditions. This value is dimensionless and is usually expressed as a percentage.

[0055] 2. Construct a finite element simulation model and calculate pressure distribution: Import the matching results and the 3D clothing pattern into the simulation system, use the finite element model to perform mechanical calculations, simulate the pressure distribution of the clothing on the dynamic human body model, and perform virtual wearing pressure distribution. calculate, ,in Let be the vector of the material's elastic modulus. Let the material thickness vector be... For the geometric parameter vector of the human body surface, This represents the expected strain field. Specifically: The material matching scheme obtained in the above steps (elastic modulus corresponding to each zone) With thickness Import the initial 3D clothing pattern (in the form of a curved mesh) and its attributes into the finite element analysis system. Construct a simulation model containing the following elements: Human body model: A dynamic three-dimensional digital human body model is used, and the surface layer (skin) of the model is given elastic material properties that conform to the characteristics of human soft tissue.

[0056] Clothing Model: The 3D clothing pattern is meshed, and the corresponding material properties (elastic modulus) are assigned to the units in different areas according to functional zones. ,thickness Poisson's ratio wait).

[0057] Contact and Constraints: Define the surface-to-surface contact between the inner surface of the clothing and the surface of the human skin, and set an appropriate coefficient of friction; constrain the joint degrees of freedom of the human body model or apply displacement boundary conditions according to the motion posture to be simulated.

[0058] Load: Applying a gravitational field.

[0059] The interfacial pressure distribution between the clothing model and the human body model under this posture was calculated using a finite element method. This pressure distribution is a vector of the material's elastic modulus. Material thickness vector Human body surface geometric parameter vector and the expected strain field determined by attitude Complex functions, i.e. .

[0060] 3. Iterative optimization of material scheme and template geometry: Based on simulation results and target pressure values... The differences were analyzed, and the material matching scheme and 3D garment pattern were iteratively optimized to generate the final pressure distribution-material mapping scheme and the optimized 3D garment pattern. Specifically: Extract the average simulated pressure value within each functional pressure zone from the simulation results. Calculate its relationship with the target pressure value. deviation Set allowable deviation tolerance. ( =2hPa, which is the basic comfort pressure threshold. 10% of the total.

[0061] If any functional pressure zone exists > Then, the optimization iteration loop will be started: Material rematching: based on Determine the sign and magnitude of the elastic modulus, return to the steps above, and reselect the elastic modulus from the candidate materials for the corresponding functional stress region. or thickness Superior fabrics to increase or decrease pressure in that area.

[0062] Pattern geometry adjustment: If adjusting the material alone cannot effectively reduce the deviation, then in the 3D garment CAD environment, the curvature, ease, or structural segmentation (such as adding or removing darts or dividing lines) of the pattern can be adjusted for specific areas to generate a new 3D garment pattern.

[0063] After each adjustment, update the model and re-execute the simulation calculations described above until the pressure deviations of all functional pressure zones meet the requirements. ≤ .

[0064] 4. Output the final solution: When the simulated pressure distribution meets the target requirements, lock the material matching scheme and the 3D garment pattern used in the current iteration, defining them as the final pressure distribution-material mapping scheme and the optimized 3D garment pattern, respectively. This final solution precisely specifies the specific materials required for each garment piece and their placement, providing direct input for subsequent intelligent cutting.

[0065] Step 4: Intelligent Cutting: Based on the final pressure distribution-material mapping scheme, the CNC cutting machine automatically identifies and precisely cuts the differentiated materials corresponding to different functional pressure zones to obtain cut pieces. Specifically: 1. Cutting File Generation and Transmission: Input the final pressure distribution-material mapping scheme and optimized 3D garment pattern generated in the above steps into the Computer-Aided Manufacturing (CAM) system. The CAM system performs the following operations: Flattening process: Flatten the 3D garment pattern into a 2D cut piece in a virtual state.

[0066] Layout and path planning: Based on the specific fabric model corresponding to each cut piece (derived from the material mapping scheme), automatic layout is performed while considering the fabric width, texture direction (warp / weft), and material conservation principles. Simultaneously, a precise cutting path file recognizable by the CNC cutting bed is generated for each cut piece.

[0067] Information integration: The cutting path file integrates the unique identifier of each piece, the functional pressure zone number, the specified fabric model code, and the cutting sequence instructions.

[0068] File transfer: The final cutting file is transmitted to the control system of the CNC cutting machine via the network.

[0069] 2. Fabric Loading and Identification: Different types of fabric rolls, as specified in the final pressure distribution-material mapping scheme, are loaded onto the corresponding feed racks on the CNC cutting machine. Each fabric roll can be linked to the database using an RFID tag or QR code to display material performance parameters (such as elastic modulus). ,thickness This association enables automatic identity recognition.

[0070] 3. Automatic Recognition and Precise Cutting: After reading the cutting file, the CNC cutting machine control system drives the cutting machine to execute the following: Automatic material selection: According to the cutting instructions, the feeding system of the cutting bed automatically selects and positions the corresponding fabric roll.

[0071] Fabric Laying and Cutting: The fabric laying device lays the fabric as needed, and the cutting head, according to the planned path, uses methods such as vibrating knives, lasers, or high-pressure water jets to perform high-precision cutting of the differentiated materials corresponding to different functional pressure zones. The cutting process ensures smooth edges on the cut pieces, controls dimensional and design errors within ±1mm, and strictly maintains the fabric's grain direction to meet design requirements to guarantee its mechanical properties. ) to achieve the expected results.

[0072] 4. Sorting and Labeling of Cut Pieces: After cutting, the automatic sorting system or manual sorting classifies the cut pieces according to style, size, and functional pressure zone based on the labels. Each cut piece can be attached with a label containing its attribute information (such as target pressure zone and fabric type) to provide clear guidance for subsequent sewing processes.

[0073] Step 5: Adaptive Sewing and Lamination: Using sewing tension and thread that matches the fabric elasticity of the functional pressure area, sew the fabric. In functional pressure areas requiring localized reinforcement, laminate a pre-shaped flexible support pad using heat pressing or ultrasonic processes. Specifically: 1. Differentiated Sewing Parameter Setting: Based on the functional pressure zone characteristics of the fabric pieces to be sewn, differentiated process parameters are pre-set on digital sewing equipment (such as intelligent sewing machines and patching machines): Sewing tension: For low-restraint, high-movement areas (high-elasticity fabrics), set lower bottom and top thread tensions to prevent the seams from restricting the fabric's elasticity; for high-stress, high-stress areas (low-elasticity fabrics), use standard or slightly higher tensions to ensure strong stitches.

[0074] Thread selection: Use sewing thread that matches the elasticity of the fabric in the functional area. For example, for high-elasticity areas, choose polyester core-spun thread or special elastic thread with good stretch.

[0075] Stitch type and density: For seams that need to withstand greater tensile force (such as shoulder seams), reinforced chain stitch or double needle stitch is used; for seams in moving areas, more flexible four- or five-thread overlay stitches can be used.

[0076] 2. Cutting Piece Alignment and Sewing: Operators or automated sewing systems align the cutting pieces from different functional areas sequentially according to the process sheet and piece markings. The equipment sews according to preset parameters, ensuring smooth and secure seams. Critical curved seams (such as armhole curves) can be completed using specialized equipment with curved sewing capabilities.

[0077] 3. Flexible support padding composite: For functional pressure areas requiring localized enhanced support (such as high-stability pressure areas or medium-support areas in the shoulders and elbows), a pre-designed flexible support pad is composited onto the inner side of the corresponding cut piece using the following process: Padding positioning: Precisely position the pre-cut flexible support pads (such as low-modulus TPU sheets, silicone mesh, or foam with specific elasticity) in the designated area of ​​the cut piece.

[0078] Hot-press lamination: Using a flatbed hot press or roller hot press, the padding is thermally bonded to the back of the fabric under set temperature, pressure, and time. Temperature and time must be strictly controlled to avoid damaging the fabric's functional coatings (such as waterproof and breathable membranes).

[0079] Ultrasonic welding: As an alternative or supplementary process, ultrasonic welding equipment is used to fuse the pad and the fabric together by the heat generated by high-frequency vibration. This method does not require glue and is suitable for certain synthetic materials.

[0080] 4. Inspection of semi-finished products: Inspect the semi-finished products that have been sewn and laminated with padding, and check the quality of the stitches, the accuracy of the padding position, and whether there are any accidental wrinkles or twists caused by improper sewing.

[0081] Step 6: Seam Seam Pressing: Seal the seams with an elastic, waterproof seam press strip. The elastic modulus of the seam press strip should match the elastic modulus of the adjacent fabric. Specifically: 1. Selection and preparation of adhesive strips: Select an elastic waterproof adhesive strip that matches the elastic modulus of the adjacent fabric in the seam area.

[0082] 2. Joint pretreatment and sealing: Joint treatment: Ensure that the joints to be sealed are flat and clean.

[0083] Glue application and pressing: A specialized glue pressing machine is used. The equipment precisely delivers the selected glue pressing strip to the seam. Through heated rollers or hot press heads, under precisely controlled temperature (usually between 120°C and 180°C) and pressure, the hot melt adhesive on the back of the glue pressing strip melts and is firmly pressed onto the fabric at the seam to form a continuous sealing strip.

[0084] Process control: For different areas (such as highly elastic underarm seams and low-elasticity main body seams), the temperature, pressure and speed of the equipment can be finely adjusted to ensure that the adhesive strip can achieve reliable waterproof sealing without restricting the elasticity of the fabric or creating local hard spots due to excessively hard or strong adhesion.

[0085] 3. Cooling and Quality Inspection: After pressing, the area is cooled and shaped. Then, a preliminary quality inspection is carried out to check the flatness of the adhesive strip, the strength of the adhesion, and whether there are defects such as insufficient adhesive or air bubbles.

[0086] Step 7: Finished Product Verification and Feedback: Create a finished sample garment and use a testing system with built-in pressure sensors to collect data on the actual wearing pressure distribution. Data, will Data and target pressure values A comparison is performed, and the difference data is fed back to the above steps to optimize the pressure distribution model and material mapping rules. The testing system is a flexible fabric pressure-sensing garment worn on a standard pressure testing dummy. Specifically: 1. Test System Preparation and Attire: A flexible fabric pressure sensing garment with a built-in high-density flexible pressure sensor array is worn on a standard pressure test dummy. This dummy has a body shape and joint mobility that match a dynamic three-dimensional digital human body model. The spatial distribution of the sensor array covers all functional pressure zones. A finished sample of a windbreaker is then worn on the test dummy equipped with the pressure sensing garment and adjusted to a natural wearing state.

[0087] 2. Simulated Motion and Data Acquisition: The test dummy is driven to simulate typical motion posture cycles. During the stable phase of each typical motion posture, the real-time pressure distribution data transmitted from the pressure-sensing garment is synchronously recorded through the data acquisition system. , It is related to simulated pressure Spatial pressure field data corresponding to the dimension.

[0088] 3. Data Comparison and Analysis: Compare and analyze the collected actual pressure distribution data. Spatially align and quantize the pressure distribution map with the initial pressure distribution map set in the above steps, and calculate the actual average pressure within each functional pressure zone. With target pressure value deviation And analyze the consistency of the overall pressure distribution pattern.

[0089] 4. Feedback and Optimization: Feedback the discrepancy data to the above steps to optimize the pressure distribution model and material mapping rules.

[0090] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A manufacturing process for a windproof jacket incorporating ergonomic pressure distribution, characterized in that, Includes the following steps: S1. Construct a dynamic ergonomic model: Collect 3D point cloud data of the target human body in typical motion postures, and fuse them to generate a model that includes skin extensibility. A dynamic three-dimensional digital human body model with joint range of motion information; S2. Design a quantitative pressure distribution map: Based on the aforementioned dynamic three-dimensional digital human body model, divide the human body surface covered by the rain jacket into... The functional pressure zone, and for the first Set target pressure value for each functional pressure zone. This forms the initial pressure distribution map; S3. Material Mapping and Pressure Simulation Optimization: Based on the target pressure values ​​of each functional pressure zone... The dynamic surface curvature and expected deformation are matched with the corresponding fabric elastic modulus from a pre-set material database. With thickness The matching results and 3D clothing patterns are imported into the simulation system, and mechanical calculations are performed using a finite element model to simulate the pressure distribution of the clothing on a dynamic human body model, thus performing virtual wearing pressure distribution. calculate, ,in Let be the vector of the material's elastic modulus. Let the material thickness vector be... For the geometric parameter vector of the human body surface, To determine the expected strain field, based on simulation results and the target pressure value... Based on the differences, iteratively optimize the material matching scheme and 3D clothing pattern to generate the final pressure distribution-material mapping scheme and the optimized 3D clothing pattern; S4. Intelligent cutting: Based on the final pressure distribution-material mapping scheme, the CNC cutting bed is driven to automatically identify and precisely cut the differentiated materials corresponding to different functional pressure zones to obtain cut pieces; S5. Adaptive sewing and lamination: Sewing is performed using sewing tension and thread that matches the elasticity of the fabric in the functional pressure zone. In functional pressure zones that require localized reinforcement, a flexible support pad of a pre-designed shape is laminated using heat pressing or ultrasonic processes. S6. Seam sealing: Use an elastic waterproof seam sealing strip to seal the seam, and the elastic modulus of the seam sealing strip matches the elastic modulus of the adjacent fabric. S7. Finished Product Verification and Feedback: Produce finished sample garments and use a testing system with built-in pressure sensors to collect data on the actual wearing pressure distribution. Data, will Data and target pressure values The comparison is performed, and the difference data is fed back to steps S2 and S3 to optimize the pressure distribution model and material mapping rules. The test system is a flexible fabric pressure sensing garment worn on a standard pressure test dummy.

2. The manufacturing process of the ergonomic pressure distribution jacket according to claim 1, characterized in that, The typical movement postures in step S1 include the static upright posture, the posture with both arms raised vertically, the forward lunge posture, the posture with both arms extended horizontally, and the simulated weight-bearing state.

3. The manufacturing process of the ergonomic pressure distribution jacket according to claim 2, characterized in that, The specific steps for constructing the dynamic ergonomic model in step S1 are as follows: S11. Multi-pose 3D data acquisition: Use a 3D human body scanner to acquire 3D point cloud data of the entire surface of the target human body in typical motion postures; S12. Point cloud data preprocessing and registration: Denoise, smooth and fill holes in the collected point cloud data of each posture. At the same time, using the point cloud data of the static upright posture as the reference, the iterative nearest point algorithm is used to register the point cloud data of other moving postures to the same coordinate system to ensure that all posture data have a consistent topological structure and correspondence. S13. Calculation of Dynamic Skin Extensibility and Joint Range of Motion: On the registered multi-pose point cloud model, key anatomical markers and skin feature lines connecting these points are defined. By calculating the length change of the same skin feature line under different poses, skin extensibility is quantified. For the first A feature line, which in motion posture Elongation under It can be represented as: ,in This is the length of the feature line in a static orientation. For the feature line in motion posture The maximum length of the joint is determined, and the angular changes between adjacent segments at key joints are analyzed to form joint range of motion data. At the same time, its three-dimensional range of motion is calculated and recorded. S14. Dynamic 3D Digital Human Model Generation: The registered multi-pose point cloud data are fused to construct a geometric model that can represent the continuous changes of the skin surface with pose.

4. The manufacturing process of the ergonomic pressure distribution jacket according to claim 1, characterized in that, In step S2 The functional pressure zones include a high-stability pressure zone, a medium-support and wrapping zone, a low-restraint and high-mobility zone, and a mechanical transition zone, among which a preset basic comfort pressure threshold is defined. Target pressure value in the high-stability pressurization zone > Target pressure value in low-constraint, high-activity zone < The target pressure value of the moderate support and containment zone Set at and The target pressure value in the mechanical transition zone is determined using a smooth transition function.

5. The manufacturing process of the ergonomic pressure distribution jacket according to claim 1, characterized in that, The pre-set material database in step S3 includes the warp elastic modulus of the fabric.

2. Weft elastic modulus ,thickness gram , tensile recovery rate Poisson's ratio In addition to waterproof and breathable performance parameters, step S3 is based on the target pressure value of each functional pressure zone. The dynamic surface curvature and expected deformation are matched with the corresponding fabric elastic modulus from a pre-set material database. With thickness The specific matching principle is as follows: For the high-stability pressurization region, it satisfies > And its expected deformation Less than the preset first deformation threshold Then, materials that meet the requirements will be selected from the materials database. and All are greater than the preset high modulus threshold. And tensile recovery rate Within the preset response rate range The inner fabric; For the low-constraint, high-activity zone, it satisfies < And its expected deformation Greater than the preset second deformation threshold (in > Then, materials that meet the requirements will be selected from the material database. and All are less than the preset low modulus threshold. And tensile recovery rate Greater than the preset high response rate threshold The fabric; For the moderate support and containment zone and the mechanical transition zone, the expected deformation is... satisfy ≤ ≤ Then, it will be selected from the materials database. and Between and Between, and tensile recovery rate Within the preset response rate range The inner fabric.

6. The manufacturing process of the ergonomic pressure distribution jacket according to claim 1, characterized in that, The specific steps for intelligent cropping in step S4 are as follows: S41. Cutting File Generation and Transmission: Input the final pressure distribution-material mapping scheme generated in step S3 and the optimized 3D garment pattern into the computer-aided manufacturing system. The computer-aided manufacturing system performs the following operations: Flattening process: Flattening the 3D garment pattern into a 2D pattern piece in a virtual state; Layout and path planning: Based on the specific fabric model corresponding to each cut piece, the layout is automatically performed while taking into account the fabric width, texture direction and material saving principles. At the same time, a cutting path file that can be recognized by the CNC cutting bed is generated for each cut piece. Information integration: The cutting path file integrates the unique identifier of each piece, the functional pressure zone number, the specified fabric model code, and the cutting sequence instructions; File transfer: The final cutting file is transmitted to the control system of the CNC cutting machine via the network; S42. Fabric loading and identification: Different types of fabric rolls specified in the final pressure distribution-material mapping scheme are loaded onto the corresponding feeding racks of the CNC cutting bed. Each roll of fabric is associated with the material performance parameters in the database through an RFID tag or QR code to achieve automatic identification. S43. Automatic Recognition and Cutting: After reading the cutting file, the CNC cutting bed control system drives the cutting bed to execute: Automatic material selection: According to the cutting instructions, the feeding system of the cutting bed automatically selects and positions the corresponding type of fabric roll; Fabric laying and cutting: The fabric laying device lays the fabric as needed, and the cutting head uses a vibrating knife, laser or high-pressure water jet to cut the differentiated materials corresponding to different functional pressure zones according to the planned path. S44. Sorting and Labeling of Cut Pieces: After cutting, the cut pieces are sorted according to style, size and functional pressure zone based on the label. Each piece is attached with a label containing the fabric model to provide clear guidance for subsequent sewing processes.

7. The manufacturing process of the ergonomic pressure distribution jacket according to claim 1, characterized in that, The specific operational steps for adaptive sewing and lamination in step S5 are as follows: S51. Differentiated Sewing Parameter Setting: Based on the characteristics of the functional pressure zone of the fabric pieces to be sewn, differentiated process parameters are pre-set on the digital sewing equipment, specifically including: Sewing tension: For low-restraint, high-activity areas, set lower bottom and top thread tensions to prevent the seams from restricting the fabric's elasticity. For high-stability, high-pressure areas, use standard or slightly higher tensions to ensure strong stitches. Thread selection: Use sewing thread that matches the elasticity of the fabric in the functional area; Stitch type and density: For seams that need to withstand greater tensile force, reinforced chain stitch or double needle stitch is used; for seams in active areas, four- or five-thread overlay stitch is used. S52. Piece Alignment and Sewing: According to the process sheet and piece markings, align the pieces from different functional areas in sequence and sew them according to the preset parameters. S53. Flexible Support Pad Composite: For functional pressure areas requiring localized reinforcement, a pre-shaped flexible support pad is composited onto the inner side of the corresponding cut piece using the following process: Padding positioning: Position the pre-cut flexible support pads according to the design shape in the designated area of ​​the cut piece; Hot-press lamination: Using a flatbed hot press or roller hot press equipment, the padding is hot-melted and bonded to the back of the fabric under set temperature, pressure and time. S54. Inspection of semi-finished products: Inspect the semi-finished products that have been sewn and laminated with padding, and check the quality of the stitches, the accuracy of the padding position, and whether there are any accidental wrinkles or twists caused by improper sewing.

8. The manufacturing process of the ergonomic pressure distribution jacket according to claim 1, characterized in that, The specific steps for pressure sealing in step S6 are as follows: S61. Selection and preparation of adhesive strips: Select an elastic waterproof adhesive strip that matches the elastic modulus of the adjacent fabric in the seam area. S62. Seam pretreatment and sealing: When treating the seam, ensure that the seam to be sealed is flat and clean. At the same time, use a special sealing machine to accurately deliver the selected sealing strip to the seam. Through the heating roller or hot press head, at a temperature of 120℃-180℃, the hot melt adhesive on the back of the sealing strip melts and is pressed onto the fabric at the seam to form a continuous sealing strip. S63. Cooling and Quality Inspection: After the adhesive is pressed, the part is cooled and shaped, and then a preliminary quality inspection is carried out to check the flatness of the adhesive strip, the adhesion strength, and whether there are defects such as missing adhesive and air bubbles.

9. The manufacturing process of the ergonomic pressure distribution jacket according to claim 1, characterized in that, The specific operational steps for finished product verification and feedback in step S7 are as follows: S71. Test System Preparation and Attire: The flexible fabric pressure sensing garment with a built-in high-density flexible pressure sensor array is worn on the standard pressure test dummy. The dummy has a body shape and joint mobility that match the dynamic three-dimensional digital human body model. The spatial distribution of the sensor array covers all functional pressure zones. The finished sample of the down jacket is then worn on the test dummy equipped with the pressure sensing garment and adjusted to a natural wearing state. S72. Simulated Motion and Data Acquisition: The test dummy is driven to simulate typical motion posture cycles. During the stable phase of each typical motion posture, the real-time pressure distribution data transmitted from the pressure-sensing garment is synchronously recorded through the data acquisition system. , It is related to simulated pressure Spatial pressure field data corresponding to the dimension; S73. Data Comparison and Analysis: Compare and analyze the collected actual pressure distribution data. Spatially align and quantize the pressure distribution map with the initial pressure distribution map set in step S2, and calculate the actual average pressure within each functional pressure zone. With target pressure value deviation And analyze the consistency of the overall pressure distribution pattern; S74. Feedback and Optimization: Feedback of the difference data to steps S2 and S3 is used to optimize the pressure distribution model and material mapping rules.

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