Package digital soft proofing VR interaction system and method

Abstract

The invention discloses a package digital soft proofing VR interaction system and method, and the system comprises a mobile terminal WebVR application which is provided with an interaction layer and a process simulation module; a cooperation and sharing module; and the intelligent recommendation module is used for carrying out packaging scheme recommendation. The 720-degree visualization and VR interaction technology of the mobile terminal packaging structure is achieved, the design iteration process is greatly accelerated, dependence on traditional physical sample piece manufacturing is reduced, the size deviation of a virtual sample piece and a final finished product is reduced, the accuracy of a design scheme is ensured, and through a multi-user real-time cooperative operation mode, the design efficiency is improved. Time delay and information deviation in traditional communication are reduced, meanwhile, by integrating VR / AR equipment, the immersive experience of previewing virtual packages in a real scene by a user is improved, and through an intelligent recommendation module, according to specific demand parameters input by the user and huge background package big data, the user can be recommended to the real scene. Therefore, a collaborative and sustainable packaging proofing digital interaction mode is constructed, and digital transformation and upgrading of the whole packaging industry are promoted.

Description

Technical Field

[0001] This invention relates to the field of digital packaging engineering technology, and in particular to a VR interactive system and method for digital packaging proofing. Background Technology

[0002] In the field of packaging design, especially in the prototyping, verification, and production stages of product packaging, numerous limitations have long existed. First, insufficient prototyping and verification is a common problem. Traditional physical prototyping methods, which involve creating packaging samples from actual materials, cannot detect potential defects in the packaging structure in real time and comprehensively, such as dimensional deviations, insufficient structural strength, or smoothness of opening and closing. This leads to a lag in the discovery of design problems, low efficiency in problem feedback, and a lengthy design iteration cycle. Second, in terms of presenting the packaging design effect, the limitations of process demonstration are another prominent pain point. Designers often rely on two-dimensional flat design drawings or simple renderings to showcase the effects of special printing processes (such as hot stamping, UV coating, etc.), making it difficult to realistically and three-dimensionally present the gloss, texture, and three-dimensionality brought by these processes. This can easily lead to a discrepancy between the customer's perception of the final product appearance and the actual effect, affecting customer satisfaction. Furthermore, while some existing virtual prototyping solutions have made some progress, they often suffer from poor mobile compatibility and heavily rely on professional and expensive virtual reality equipment, limiting their convenience, lightweight operation, and widespread application on mobile devices. There is a lack of corresponding solutions to these problems.

[0003] However, as packaging design and production move towards greater efficiency, intelligence, and collaboration, even with some solutions to the aforementioned problems, existing technologies and market demands still reveal shortcomings. During packaging design review and modification, there is a lack of efficient real-time collaboration mechanisms between design team members, clients, and production departments. Even with mobile visualization and process simulation, cross-regional communication still primarily relies on email, meetings, and document transfers, resulting in long information transmission chains, information delays, and misunderstandings, thus increasing communication costs and rework rates. Furthermore, while the digital process from virtual prototypes to digital sample-making equipment has been initially established, in practical applications, the generation of physical samples from virtual models still requires further optimization and tight integration. Even with digital sample-making equipment, the intermediate data conversion, transmission, and... The operational process may still result in time consumption and resource waste, making it impossible to achieve truly rapid physical prototyping. In the initial selection stage of packaging solutions, designers often lack intelligent auxiliary tools when faced with increasingly diverse product requirements and complex material and process combinations. As packaging designers, they find it difficult to quickly and effectively select the optimal solution, relying mainly on experience and manual searches, which significantly affects overall design efficiency and solution quality. For complex packaging composed of multiple components (such as inner trays, partitions, etc.), existing solutions lack comprehensive and dynamic simulation and verification of the assembly process in a virtual environment. Therefore, potential assembly problems (such as poor buckle fit and interference between components) often only emerge during actual production, causing unnecessary production delays and additional losses. Thus, there is an urgent need for a packaging digital soft prototyping VR interactive system and method. Summary of the Invention

[0004] The purpose of this invention is to address the deficiencies in the existing technology by proposing a VR interactive system and method for digital soft proofing of packaging.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] The packaging digital soft proofing VR interactive system includes:

[0007] A mobile WebVR application, configured with an interaction layer and a process simulation module;

[0008] The interaction layer is used to support gesture operation, two-finger zoom, single-finger rotation, and long press to open and close the packaging box. The long press to open and close the packaging box is used to trigger hinge movement simulation.

[0009] The process simulation module is used to simulate packaging process effects, including hot stamping, dynamic metallic luster rendering, die cutting, dotted line pre-cutting animation display, UV, and real-time high-gloss reflection effect adjustment, or multiple of them.

[0010] The collaboration and sharing module supports real-time collaborative operations among multiple users and provides permission management and version control functions.

[0011] Data interface and expansion module for connecting external VR devices and 3D printing equipment;

[0012] It also includes an intelligent recommendation module for recommending packaging solutions.

[0013] Furthermore, the data interface and expansion module includes a glasses integration module, which supports the access of VR / AR glasses devices and the creation of a virtual packaging model. After obtaining the virtual packaging, the virtual packaging is overlaid and displayed in the real environment. The glasses integration module supports users to interact with the virtual packaging through gestures, voice, or eye tracking.

[0014] Furthermore, the data interface and expansion module includes a 3D printing equipment connection module for transmitting the virtual packaging model data to the connected 3D printing equipment.

[0015] Furthermore, the intelligent recommendation module is used to analyze and process the input parameters and packaging big data based on the input parameters and packaging big data through preset rules and machine learning models, and generate recommended combinations of packaging structure, packaging materials and packaging processes.

[0016] Input parameters include product type, target market, and cost budget.

[0017] Furthermore, it also includes an assembly process simulation module, which provides virtual disassembly and assembly animation demonstrations for packages consisting of at least two components, and simulates the virtual engagement and disengagement of the connection methods between the package components, including snap-fit, tongue, and adhesive points.

[0018] Furthermore, the system further includes a core algorithm module for implementing lightweight rendering, wherein the lightweight rendering adopts a GLTF format compression model with a compression rate of 70%, and is dynamically loaded via WebGL.

[0019] Furthermore, the core algorithm module further includes a multi-user data synchronization algorithm to achieve real-time synchronization of multi-user operation data in a low-latency VR scene, and a physical simulation algorithm to simulate the physical behavior of packaging components during the assembly process, including collisions or deformations.

[0020] The VR interactive method for digital soft prototyping of packaging includes the following steps:

[0021] S1: Interact via a mobile WebVR application. The interaction includes gestures, two-finger zoom, single-finger rotation (360°×360° free view), and long press to open and close the packaging box, triggering a hinge motion simulation.

[0022] S2: Simulates packaging process effects, including hot stamping, dynamic metallic luster rendering, die-cutting, dotted line pre-cutting animation display, UV, and real-time specular reflection effect adjustment (or multiple effects).

[0023] S3: Enables real-time collaborative operations among multiple users;

[0024] S4: Connects to external VR / AR devices and 3D printing equipment;

[0025] S5: Recommend a packaging solution.

[0026] Furthermore, the multi-user real-time collaborative operation is achieved through a multi-user data synchronization algorithm to ensure the real-time consistency of operation data in the VR / AR virtual space;

[0027] The connection between the external VR / AR device and the 3D printing device simulates the assembly process of the virtual packaging components through a physical simulation algorithm;

[0028] The packaging scheme recommendation is generated by an intelligent recommendation algorithm based on the input parameters and packaging big data.

[0029] Furthermore, the method further includes: transmitting the virtual packaging model data to a connected 3D printing device to achieve rapid physical prototyping;

[0030] It also simulates the assembly process, providing virtual disassembly and assembly animations for packages composed of multiple parts, and simulating the connection methods between packaging components.

[0031] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0032] By enabling 720° visualization and VR interaction of the packaging structure on mobile devices, the design iteration process is greatly accelerated, the iteration time is reduced, and the reliance on traditional physical prototype production is reduced, as well as the number of physical prototypes produced for a single project is reduced, thereby saving costs and reducing packaging waste, resulting in significant environmental benefits.

[0033] By simulating processes such as hot stamping and UV coating, we can reduce the cognitive gap between the graphic design and the actual product, minimize the dimensional deviation between the virtual prototype and the final product, ensure the accuracy of the design, reduce errors in the production process, and enhance users' confidence and satisfaction with the design.

[0034] Through a multi-user real-time collaborative operation mode, designers, clients, and production personnel in different regions can simultaneously review, annotate, and modify packaging models in a VR / AR virtual space. This reduces time lag and information discrepancies in traditional communication, further accelerating the design decision-making process and effectively reducing project communication costs and rework rates. Simultaneously, by integrating VR / AR glasses, it enhances the immersive experience of previewing virtual packaging in real-world scenarios. Seamless connection with 3D printing equipment enables rapid conversion from virtual design to high-precision physical prototypes, shortening the physical verification cycle and further reducing the time and economic costs of physical prototyping, thus accelerating product launch. The intelligent recommendation module, based on user-inputted specific requirements and the vast backend packaging big data, uses intelligent algorithms to quickly filter and recommend optimal packaging structure, material, and process combinations. This enhances decision support capabilities, shortens the initial design selection time, improves overall design efficiency and solution quality, and ultimately builds a collaborative and sustainable digital interactive method for packaging prototyping, driving the digital transformation and upgrading of the entire packaging industry. Attached Figure Description

[0035] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0036] Figure 1 This is a schematic diagram of the architecture of the packaging digital soft proofing VR interactive system proposed in this invention;

[0037] Figure 2 This is a flowchart illustrating the VR interactive digital proofing method for packaging proposed in this invention.

[0038] Figure 3 This is a flowchart of the multi-user data synchronization algorithm in an embodiment of the present invention;

[0039] Figure 4 This is a flowchart illustrating the intelligent recommendation algorithm in an embodiment of the present invention. Detailed Implementation

[0040] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0041] In the description of this invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0042] Reference Figure 1-4 Example 1: Packaging digital soft proofing VR interactive system, including: a mobile WebVR application, configured with an interactive layer and a process simulation module;

[0043] The interaction layer is used to support gesture operation, two-finger zoom, single-finger rotation (360°×360° free view), and long press to open and close the packaging box. The long press to open and close the packaging box is used to trigger hinge movement simulation.

[0044] The process simulation module is used to simulate packaging process effects such as hot stamping, dynamic metallic luster rendering, die cutting, dotted line pre-cutting animation display, UV coating, and real-time high-gloss reflection effect adjustment.

[0045] The collaboration and sharing module supports real-time collaborative operations among multiple users and provides permission management and version control functions.

[0046] Data interface and expansion module for connecting external VR devices and 3D printing equipment;

[0047] And an intelligent recommendation module for recommending packaging solutions;

[0048] The system further includes a core algorithm module for implementing lightweight rendering, wherein the lightweight rendering uses a GLTF format compressed model with a compression rate of 70%, and is dynamically loaded via WebGL.

[0049] In this implementation, the system uses a mobile WebVR application developed based on HTML5, JavaScript and WebGL technologies; users can access the application through a browser on their smartphone or tablet without installing a dedicated app, achieving convenient and lightweight mobile operation;

[0050] Once a user loads a packaging model (such as a gift box model), the interaction layer provides various corresponding gesture operations:

[0051] Users can pinch or open their fingers on the screen to zoom in and out of the packaging model in real time; a single finger can be used to slide the screen to rotate the packaging model freely, supporting 360°×360° all-around viewing without blind spots. For example, users can rotate from the front to the back of the packaging, or from the top to the bottom, to check every detail.

[0052] Long-pressing a specific area of ​​the screen (such as the packaging box itself) can trigger a preset hinge movement simulation, simulating the opening and closing process of the packaging box, such as flipping the lid of the gift box or pulling out the drawer box, to verify its structural function.

[0053] Through the process simulation module, various packaging process effects are rendered in real time. For example, when the packaging surface is designed with hot stamping areas, the system will accurately simulate the metallic luster and reflection effect of the hot stamping area based on preset material parameters (such as metallicity and roughness) and real-time lighting environment. Users can drag the virtual light source or adjust the ambient light parameters to observe the changes in the hot stamping effect under different lighting conditions. For UV processes, the system can render the highlight reflection effect in the corresponding area of ​​the model in real time. Users can adjust the highlight intensity to intuitively feel the gloss of the local UV ink. The die-cutting effect is displayed by showing the dotted pre-cutting animation on the model, presenting the fold lines and cutting lines of the packaging, helping designers check the die-cutting accuracy and structural integrity.

[0054] Furthermore, the following algorithms are applied to achieve the above functions, including:

[0055] A lightweight rendering algorithm is used to efficiently process and render packaged 3D models to ensure a smooth interactive experience on mobile devices. The specific logic flow is as follows:

[0056] Step 1: The system receives raw 3D model data imported from external sources (e.g., OBJ, FBX format), converts it into an optimized GLTF (GL Transmission Format) format through the model processing module, and performs efficient compression of geometric data, material information and animation data during the conversion process. The compression rate can reach more than 70%, significantly reducing the size of the model file, and supports PBR (physically based rendering) material definition.

[0057] Step 2: Perform WebGL dynamic loading. The mobile WebVR application uses the browser's built-in WebGL graphics rendering interface to download and dynamically load the compressed GLTF model data over the network.

[0058] Step 3: Execute the optimized rendering strategy. Based on the model's hierarchical structure and viewport occlusion, the rendering algorithm employs culling and Level of Detail (LOD) techniques to render only the visible and necessary parts, thereby achieving high frame rate real-time rendering under the limited computing resources of mobile devices.

[0059] Step 4: Map the special process parameters defined in the packaging design (such as the metallicity, roughness, and color of the hot stamping area; the reflectivity and transparency of the UV varnish; and the depth and type of the die-cutting lines) to the corresponding properties of the PBR material, and calculate the lighting, surface normals, viewpoint, and material properties through the WebGL rendering pipeline to achieve a realistic simulation of these processes, thus completing the mapping of process parameters and PBR rendering.

[0060] A multi-user data synchronization algorithm is adopted to ensure that when multiple different terminal users are collaboratively operating the same virtual packaging model, operation data such as rotation, scaling, opening and closing, and annotation can be synchronized in real time with low latency. This maintains the consistency of the model state in the virtual space and ensures that what different terminal users see is what they get. The specific logic flow is as follows:

[0061] Step 1: Establish a bidirectional real-time communication channel between the client and the server based on the WebSocket protocol.

[0062] Step 2: When any client user performs an operation on the virtual model (such as rotation, scaling, opening / closing, or adding annotations), the operation is immediately captured and encapsulated into a standardized, lightweight operation data packet. This data packet contains the operation type, the target object ID, the operation parameters (such as rotation matrix, scaling factor, and annotation content), the timestamp of the operation, and the user ID, thus completing the data capture and encapsulation of the user's operation.

[0063] Step 3: After receiving the operation data packet, the server performs validity verification (such as permission check and data format verification), and then broadcasts the operation data packet to all other clients currently connected and participating in the same collaborative session.

[0064] Step 4: After receiving the broadcast data packet, each client parses the operation data and uses its local rendering engine to update the displayed model state in real time. It handles possible network latency or out-of-order operations through a mechanism based on timestamps or operation queues to ensure eventual consistency of operations.

[0065] It also includes physical simulation algorithms, which are applied to the assembly process simulation module to simulate the real physical behaviors of packaged components in a virtual environment, such as collisions, friction, and deformation, thereby improving the accuracy of assembly verification. The specific steps are as follows:

[0066] Step 1: Integrate a lightweight physics engine into the WebVR application (e.g., introduce Bullet Physics or Ammo.js) and configure the corresponding physical properties (such as mass, inertia, coefficient of friction, elasticity) for each component of the wrapper model.

[0067] Step 2: During the assembly simulation, the physics engine continuously detects potential collisions between the various packaging components, identifies areas that come into contact or overlap, and performs collision detection.

[0068] Step 3: Once a collision is detected, the physics engine calculates the collision force and simulates the actual collision response (such as bounce, slide or deformation) based on the physical properties of the component and the current force conditions, updates the rigid body dynamics, and performs collision response and rigid body dynamics simulation.

[0069] Step 4: For specific connection points between packaging components (such as snaps and tongues), the algorithm predefines their geometric constraints and contact conditions. When the assembly animation is played, the physics engine solves these constraints, simulates the meshing process of components such as snaps, and calculates the engagement force and tolerance range during meshing.

[0070] Step 5: Based on the physical simulation results, if abnormal situations such as structural interference, failure to mesh smoothly, or excessive looseness after meshing occur, the system will issue warnings through visual highlighting (e.g., displaying the conflict area as a flashing red) or prompting information, thus visualizing and warning of abnormal behavior.

[0071] To recommend suitable packaging structure, material, and process combinations based on user input and big data analysis, the intelligent recommendation module employs intelligent recommendation algorithms. These algorithms, grounded in machine learning (such as collaborative filtering and deep learning) and knowledge graph technologies, learn from and process massive amounts of packaging design data, industry standards, market preferences, material properties, and production costs. Through intelligent analysis of input parameters, the module matches and generates optimal or multiple sets of preferred packaging solutions. The specific logical flow includes the following:

[0072] Step 1: The system backend cleans and structures the massive packaging design data (including structure, materials, processes, cases, user preferences, etc.), and builds a knowledge graph to establish semantic relationships between various entities;

[0073] Step 2: Receive various requirement parameters input by the user (such as product type, target market, cost budget, environmental protection requirements, feature preferences, etc.), and obtain terminal information of the connected device. Perform natural language processing (NLP) and feature engineering on these inputs to transform them into computable multi-dimensional feature vectors.

[0074] Step 3: Filter candidate solutions in the packaging big data according to preset business rules (e.g., if the user specifies "biodegradable" conditions, relevant materials and structures are initially screened; if the budget is "low cost" conditions, solutions with lower cost coefficients are screened) to perform preliminary screening of candidate solutions;

[0075] Step 4: In the selected candidate solution set, a machine learning model (such as a content-based recommendation model, collaborative filtering model, or deep learning model) is used to match and calculate the similarity between the user demand feature vector and the candidate solution feature vector. The model learns the association patterns in historical data through offline training.

[0076] Step 5: Based on the similarity score and preset weights (e.g., the user's environmental protection needs are weighted higher than cost), the matched solutions are comprehensively ranked. Finally, a set of recommended solutions is generated and presented to the user. Each solution includes: a 3D model preview of the recommended packaging structure, main materials, key processes, preliminary cost estimates, and environmental benefit analysis.

[0077] Example 2:

[0078] Based on Embodiment 1, the data interface and expansion module includes a glasses integration module for supporting AR glasses device access and enabling the overlay display of the virtual packaging model in the real environment. The glasses integration module supports users to interact with the virtual packaging through gestures, voice, or eye tracking.

[0079] The data interface and expansion module include a glasses integration module, which supports AR glasses device access and enables the overlay display of the virtual packaging model in the real environment. The glasses integration module supports users to interact with the virtual packaging through gestures, voice, or eye tracking.

[0080] The core algorithm module further includes a multi-user data synchronization algorithm to achieve real-time synchronization of multi-user operation data in low-latency VR scenarios, and a physical simulation algorithm to simulate physical behaviors such as collisions and deformations of packaging components during assembly.

[0081] The VR interactive method for digital soft prototyping of packaging includes the following steps:

[0082] S1: Interact via a mobile WebVR application. The interaction includes gestures, two-finger zoom, single-finger rotation (360°×360° free view), and long press to open and close the packaging box, triggering a hinge motion simulation.

[0083] S2: Packaging process effects such as simulated hot stamping, dynamic metallic luster rendering, die-cutting, dotted line pre-cutting animation display, UV coating, and real-time high-gloss reflection effect adjustment.

[0084] S3: Enables real-time collaborative operations among multiple users;

[0085] S4: Connects to external VR devices and 3D printing equipment; and

[0086] S5: Recommend a packaging solution.

[0087] The connection to external VR devices includes connecting to VR glasses and interacting with them to overlay and display the packaged virtual model in the real environment.

[0088] In this embodiment, the system further integrates VR glasses and performs multi-user collaboration through a collaboration and sharing module, a data interface and extension module, and a multi-user data synchronization algorithm, specifically:

[0089] When a user wears VR glasses, the system communicates with them through the glasses' integrated module, accurately overlaying virtual packaging models onto the user's real-world environment. For example, a user can place a virtual milk carton model on a real supermarket shelf and observe its placement and size proportions in the actual environment through the VR glasses.

[0090] The VR glasses' interaction layer supports more natural interaction methods such as gestures, voice, or eye tracking: users can grasp and rotate virtual packaging with gestures; query packaging material information with voice commands; or focus on specific areas with eye tracking, and the system will highlight the relevant details. The VR glasses can also assist in size measurement, allowing users to directly measure the distance between any two points on the virtual model to ensure the adaptability of the design size to the actual environment.

[0091] Example 3:

[0092] Based on Embodiment 1 or Embodiment 2, the data interface and expansion module includes a 3D printing equipment connection module, used to transmit the virtual packaging model data to the connected 3D printing equipment to achieve rapid physical prototyping;

[0093] The intelligent recommendation module is used to analyze and process the input parameters and packaging big data based on input parameters and packaging big data through preset rules and / or machine learning models, and generate recommended packaging structure, material and process combination schemes.

[0094] Input parameters include product type, target market, and cost budget.

[0095] The core algorithm module further includes a multi-user data synchronization algorithm to achieve real-time synchronization of multi-user operation data in low-latency VR scenarios, and a physical simulation algorithm to simulate physical behaviors such as collisions and deformations of packaging components during assembly.

[0096] In this embodiment, once the packaging design scheme has been fully validated and finally confirmed in the virtual environment, a seamless transition from the virtual prototype to the digital sample production equipment can be achieved. Furthermore, an intelligent recommendation module is adopted to provide decision support in the early stages of design.

[0097] In one example: A small creative packaging design studio receives an urgent order to design a unique and cost-effective package for a new type of eco-friendly tea bag. The designers want to quickly obtain multiple options and produce a physical prototype as soon as the design is finalized.

[0098] The specific implementation process is as follows: Input parameters are collected through the intelligent recommendation module.

[0099] The designer input the following requirements into the system: product type is "tea bag", target market is "high-end environmental protection market", cost budget is "medium to low", environmental protection requirement is "biodegradable", and "requires irregular shape".

[0100] Packaging Big Data and Preset Rules: The packaging big data in the system backend includes:

[0101] Structure Database: Contains information such as geometric dimensions, unfolded diagrams, and assembly methods for thousands of common and irregularly shaped packaging structures (such as folding boxes, drawer boxes, irregularly shaped boxes, cans, soft bags, etc.);

[0102] Materials Database: Contains physical properties (thickness, stiffness, transparency, flexibility), environmental certifications, cost ranges, etc. of various packaging materials (such as corrugated paper, white cardboard, kraft paper, PLA biodegradable plastic, glass, etc.).

[0103] Process Database: Records the characteristics, applicable materials, cost coefficients, and visual effect data of processes such as hot stamping, UV coating, embossing, die cutting, and screen printing;

[0104] Market Case Library: Stores a large amount of data on the structure, materials, processes, and market feedback of successful packaging design cases;

[0105] Industry standards and regulations: such as standards for food contact materials, standards for transport packaging, etc.

[0106] The logical flow of intelligent recommendation:

[0107] Convert user-inputted text descriptions such as "tea bags", "high-end environmental protection market", "medium and low cost", "biodegradable", and "irregular structure" into computable feature vectors;

[0108] Based on preset rules (e.g., if the "environmental requirement" is "biodegradable", then materials such as "PLA biodegradable plastic" and "environmentally friendly paper" are initially screened; if the "product type" is "tea bag", then paper boxes or soft bags are preferred), the big data is initially filtered to narrow the search scope.

[0109] Machine learning models (e.g., through collaborative filtering or content-based recommendation algorithms) are used to calculate the similarity between the selected solutions and user needs, and the solutions are intelligently ranked. For example, for the need for "irregular structures," the model will prioritize matching packaging solutions that are marked as "irregular" in the structure database, and then weight the ranking based on factors such as cost and environmental friendliness.

[0110] Based on the ranking results, the system generates and recommends multiple preferred combinations of packaging structures, materials, and processes to designers (e.g., Option A: Triangular three-dimensional eco-friendly cardboard box + partial frosted UV coating; Option B: Fan-shaped drawer-style kraft paper box + hot stamping logo; Option C: PLA biodegradable bag + digital printing). Each option is accompanied by its structural diagram, recommended materials, process descriptions, and preliminary cost estimates and environmental benefit assessments.

[0111] The designer selected Option B from several intelligently recommended options. After confirming the option, the designer clicked the "3D Print" button. The 3D printing equipment connection module system automatically identified the desktop FDM 3D printer identified by the currently connected device terminal information acquisition module. The 3D printing equipment connection module automatically converted the packaging model data of Option B (such as a complex snap-fit ​​component) from GLTF format to the STL format compatible with the 3D printer and automatically generated the optimal slicing parameter file.

[0112] The system directly transfers STL data and slice files to the connected 3D printer via USB or Wi-Fi interface to start the printing process. Several hours later, high-precision physical snap-fit ​​components are available for real-world testing of physical strength and fit.

[0113] This embodiment provides intelligent assistance when faced with a vast array of choices, increasing the speed of solution decision-making and enabling the rapid conversion of virtual designs into physical prototypes for verification, thereby improving the efficiency and accuracy of the overall design process.

[0114] Example 4:

[0115] Based on the above embodiments, an assembly process simulation module is also included, which is used to provide virtual disassembly and assembly animation demonstrations for packages consisting of at least two components, and to simulate the virtual engagement and disengagement of the connection methods between the packaging components, including snap-fit, tongue, and adhesive point.

[0116] The method further includes: transmitting the virtual packaging model data to a connected 3D printing device to achieve rapid physical prototyping;

[0117] It also simulates the assembly process, providing virtual disassembly and assembly animations for packages composed of multiple parts, and simulating the connection methods between packaging components.

[0118] For complex packaging products consisting of multiple components, such as gift boxes with inner trays or multi-layered folding packaging, this system provides an assembly process simulation module to identify potential assembly problems during the design phase and avoid production rework.

[0119] Multi-component disassembly and assembly animation: Designers can select a multi-component packaging model for assembly simulation. The system will first virtually disassemble all the components of the packaging in animated form, and then demonstrate the installation process of each component step by step according to the preset assembly sequence. For example, it will first demonstrate the insertion of the inner tray, then the folding of the outer box, and finally the closing of the lid. This allows designers and production staff to intuitively understand the complex assembly steps and their interrelationships.

[0120] Snap-in and Connection Point Simulation: For connections between packaging components, such as snap-ins, tongues, adhesive points, or magnetic points, the system uses physical simulation algorithms for precise simulation. When two components approach and attempt to connect, the physical simulation algorithm calculates collisions and engagements. For example, when a snap-in is inserted into a slot, the system simulates smooth insertion or jamming and deformation caused by dimensional tolerance mismatch. If structural interference or poor connection occurs, the system will provide early warnings through visual highlighting (e.g., displaying the interference area in red) or prompts, helping designers to promptly identify and correct design flaws, thereby ensuring the accuracy of dimensional deviations between the virtual prototype and the final product. This significantly enhances the verification depth during the design phase, ensuring product manufacturability and assembly efficiency.

[0121] In an example scenario:

[0122] An electronics company designed a complex smartphone packaging box consisting of multiple components (outer box, inner liner, data cable storage slot, instruction manual compartment). The designer needed to ensure that all components could be assembled smoothly and would not become loose or damaged during transportation.

[0123] Specifically implemented as follows

[0124] The designer selected the smartphone packaging model and activated the "assembly simulation" function;

[0125] The system first uses clear animation to virtually disassemble all components of the packaging box (outer box, inner liner, storage slots, and dividers) one by one, showcasing their original separated state. Then, the system demonstrates the virtual assembly process step-by-step according to the preset production assembly sequence. For example, the animation shows how the inner liner slides precisely into the outer box, then how the data cable storage slot snaps into the pre-designed position in the inner liner, and finally, how the dividers snap onto the storage slots. During this process, users can pause, fast forward, rewind the assembly animation, and even view it frame by frame to gain a deeper understanding of the installation logic and precise fitting points of each component.

[0126] During assembly, the system will highlight the connection points between components, such as the buckles between the inner liner and the outer box, and the limiting points between the storage slot and the inner liner. The system uses physical simulation algorithms to simulate the virtual engagement and disengagement process of these connection points. When a buckle is about to be inserted into its corresponding slot, the system will calculate the collision and friction between the two and simulate the real insertion resistance based on the preset material hardness and elasticity parameters.

[0127] If dimensional deviations or structural interference exist in the design, causing the snap-fits to fail to engage smoothly, or to become too loose after engagement, the system will immediately issue a visually highlighted warning (e.g., displaying the conflict area as a flashing red) and pop up a prompt message ("The inner liner snap-fit ​​and the outer box slot are not sized correctly, which may cause assembly difficulties"). Based on these warnings, potential production problems are fed back in advance, avoiding production stoppages or product scrap due to assembly issues on the actual production line. Through physical simulation, the system can verify the dynamic behavior of the packaging structure under stress, ensuring the smooth assembly and structural stability of the final physical prototype, further guaranteeing the accuracy of the dimensional deviations between the virtual prototype and the final product.

[0128] This embodiment solves the problems of packaging appearance and process verification, and goes deeper into the verification of packaging structure and assembly, which greatly reduces production risks and subsequent rework costs.

[0129] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A packaging digital soft proofing VR interactive system, characterized in that, include: A mobile WebVR application, configured with an interaction layer and a process simulation module; The interaction layer is used to support gesture operation, two-finger zoom, single-finger rotation, and long press to open and close the packaging box. The long press to open and close the packaging box is used to trigger hinge movement simulation. The process simulation module is used to simulate packaging process effects, including hot stamping, dynamic metallic luster rendering, die cutting, dotted line pre-cutting animation display, UV, and real-time high-gloss reflection effect adjustment, or multiple of them. The collaboration and sharing module supports real-time collaborative operations among multiple users and provides permission management and version control functions. Data interface and expansion module for connecting external VR devices and 3D printing equipment; It also includes an intelligent recommendation module for recommending packaging solutions.

2. The packaging digital soft proofing VR interactive system according to claim 1, characterized in that, The data interface and expansion module include a glasses integration module, which supports the access of VR / AR glasses devices and connects to the packaging virtual model. After obtaining the virtual packaging data, the virtual packaging data is overlaid and displayed in the real environment. The glasses integration module supports users to interact with the virtual packaging through gestures, voice, or eye tracking.

3. The packaging digital soft proofing VR interactive system according to claim 2, characterized in that, The data interface and expansion module include a 3D printing equipment connection module, used to transmit the virtual packaging model data to the connected 3D printing equipment.

4. The packaging digital soft proofing VR interactive system according to claim 2, characterized in that, The intelligent recommendation module is used to analyze and process the input parameters and packaging big data based on input parameters and packaging big data through preset rules and machine learning models, and generate recommended combinations of packaging structure, packaging materials and packaging processes. Input parameters include product type, target market, and cost budget.

5. The packaging digital soft proofing VR interactive system according to claim 4, characterized in that, It also includes an assembly process simulation module, which provides virtual disassembly and assembly animation demonstrations for packages consisting of at least two components, and simulates the virtual engagement and disengagement of the connection methods between the package components, including snap-fit, tongue, and adhesive points.

6. The packaging digital soft proofing VR interactive system according to any one of claims 5, characterized in that, The system further includes a core algorithm module for implementing lightweight rendering, wherein the lightweight rendering uses a GLTF format compressed model with a compression rate of 70%, and is dynamically loaded via WebGL.

7. The packaging digital soft proofing VR interactive system according to claim 6, characterized in that, The core algorithm module further includes a multi-user data synchronization algorithm for achieving real-time synchronization of multi-user operation data in low-latency VR scenarios, and a physical simulation algorithm for simulating the physical behavior of packaging components during assembly, including collisions or deformations.

8. A VR interactive method for digital soft prototyping of packaging, characterized in that, The process, performed using the packaging digital soft proofing VR interactive system according to any one of claims 1-7, includes the following steps: S1: Interact via a mobile WebVR application. The interaction includes gestures, two-finger zoom, single-finger rotation, and long-press to open and close the packaging box, triggering a hinge motion simulation. S2: Simulates packaging process effects, including hot stamping, dynamic metallic luster rendering, die-cutting, dotted line pre-cutting animation display, UV, and real-time specular reflection effect adjustment (or multiple effects). S3: Enables real-time collaborative operations among multiple users; S4: Connects to external VR / AR devices and 3D printing equipment; S5: Recommend a packaging solution.

9. The packaging digital soft proofing VR interactive method according to claim 8, characterized in that, Real-time collaborative operation among multiple users is achieved through a multi-user data synchronization algorithm to ensure real-time consistency of operation data in the VR / AR virtual space; Connecting external VR / AR devices and 3D printing equipment, the assembly process of virtual packaging components is simulated using physical simulation algorithms; Packaging solution recommendations are generated using intelligent recommendation algorithms based on input parameters and big data on packaging.

10. The packaging digital soft proofing VR interactive method according to claim 8, characterized in that, The method further includes: transmitting virtual packaging model data to a connected 3D printing device to achieve rapid physical prototyping; It also simulates the assembly process, providing virtual disassembly and assembly animations for packages composed of multiple parts, and simulating the connection methods between packaging components.

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