Dynamic control methods and systems for packaging design that adapt to product form

Abstract

This invention discloses a method and system for dynamic control of packaging design based on adaptive product form, relating to the field of data processing technology. The method includes: on a packaging design platform, performing a 3D scan of the target product using the platform's scanning end, and determining a lightweight product form diagram through lightweight reconstruction; importing the lightweight product form diagram into a configuration planning module, executing first-order configuration planning based on a packaging rule base, and second-order configuration planning based on stress field application, combining correlation and causality to optimize the packaging design, generating a product packaging configuration, and displaying it in multiple modes on the platform's display port. This invention solves the technical problem that existing technologies cannot flexibly adapt to changes in complex product forms and transportation environments, leading to packaging designs being unable to cope with the protection needs of different stress fields. It achieves the technical effect of adaptively and dynamically controlling the packaging design by referring to changes in product form and the influence of stress fields, ensuring effective product protection.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, in particular to a dynamic regulation method and system for adaptive product form packaging design. BACKGROUND

[0002] In modern industrial production and logistics transportation, the packaging design of products is crucial to ensure the safety and integrity of products during transportation, storage and sales. Especially for large and complex precision products, such as aerospace parts, high-end electronic products or large mechanical equipment, the packaging design not only needs to consider the size, shape and weight of the product, but also needs to consider the precision structure and vulnerability of the product. However, traditional packaging design methods mostly rely on manual experience or static rules, which are difficult to cope with complex and variable product forms, especially in the process of transportation and storage, which is prone to product damage or packaging that does not meet actual needs. In addition, existing design tools often lack flexibility and adaptability, making it difficult to optimize in combination with actual application scenarios, resulting in poor packaging design results and ineffective product protection. SUMMARY

[0003] The present application provides a dynamic regulation method and system for adaptive product form packaging design, which solves the technical problem that existing technology cannot flexibly adapt to changes in complex product form and transportation environment, resulting in packaging design that cannot meet the protection needs of different stress fields.

[0004] In a first aspect of the present application, a dynamic regulation method for adaptive product form packaging design is provided, which comprises: in a packaging design platform, performing three-dimensional scanning on a target product according to a platform scanning end, and determining a lightweight product form graph through lightweight reconstruction; importing the lightweight product form graph into a configuration planning module, executing first-order configuration planning based on a packaging rule library, and executing second-order configuration planning based on a stress field, to generate a product packaging configuration; displaying the product packaging configuration on a platform display port, wherein the display mode includes multi-mode switching; wherein the second-order configuration planning executes a filtering reconstruction of the lightweight product form graph based on relevance and causality, and iteratively optimizes the configuration under the first-order configuration planning.

[0005] The second aspect of this application provides a dynamic control system for adaptive product form packaging design. The system includes: a lightweight reconstruction module, used to perform a 3D scan of the target product on a packaging design platform using the platform's scanning end, and determine a lightweight product form diagram through lightweight reconstruction; a configuration planning module, which imports the lightweight product form diagram into the configuration planning module, executes first-order configuration planning based on a packaging rule base, and second-order configuration planning based on stress field application, to generate a product packaging configuration. The second-order configuration planning performs filtering and reconstruction of the lightweight product form diagram based on correlation and causality, and iterative optimization of the configuration under first-order configuration planning; and a packaging configuration display module, used to display the product packaging configuration on a platform display port, wherein the display mode includes multi-mode switching.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The adaptive product form packaging design dynamic control method and system provided in this application relates to the field of data processing technology. It generates product form diagrams through 3D scanning and lightweight reconstruction, performs first-order configuration planning based on a packaging rule base, and performs second-order configuration planning considering the influence of stress fields. It optimizes the packaging design by combining correlation and causality, and provides dynamic control and precise packaging solutions through configuration iteration optimization and multi-mode display. It solves the technical problem that existing technologies cannot flexibly adapt to changes in complex product forms and transportation environments, resulting in packaging designs that cannot cope with the protection needs of different stress fields. It achieves the technical effect of adaptive dynamic control of packaging design by referring to changes in product form and the influence of stress fields, ensuring that the product is effectively protected. Attached Figure Description

[0008] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 A schematic flowchart of the adaptive product form packaging design dynamic adjustment method provided in the embodiments of this application;

[0010] Figure 2 A schematic diagram of the adaptive product form packaging design dynamic control system provided in the embodiments of this application.

[0011] Figure labeling: Lightweight reconstruction module 11, configuration planning module 12, packaging configuration display module 13. Detailed Implementation

[0012] This application provides a dynamic control method and system for packaging design that adapts to product form, in order to solve the technical problem that existing technologies cannot flexibly adapt to changes in complex product forms and transportation environments, resulting in packaging designs being unable to meet the protection requirements of different stress fields.

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0014] It should be noted that the terms "first," "second," etc., in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices.

[0015] Example 1, as Figure 1 As shown, this application provides a method for dynamically adjusting packaging design to adapt to product form, the method comprising:

[0016] P10: On the packaging design platform, the target product is 3D scanned using the platform's scanning end, and a lightweight product form diagram is determined through lightweight reconstruction.

[0017] Furthermore, step P10 in this embodiment of the application also includes:

[0018] P11: Scan the target product to determine its 3D model; P12: Trigger the 3D reconstruction engine to perform graph segmentation on the product's 3D model based on local geometry and material properties, determining the first node topology, wherein the spatial phase distribution of the first node topology is related to the product's 3D model. Figure 1 Each product segmentation diagram corresponds to a node; P13: Based on the connection relationship and interaction force, establish the second side feature, wherein the connection relationship represents the assembly relationship between the local graphs of the nodes, and the interaction force includes the interaction force between nodes and external stress; P14: Based on the first node topology and the second side feature, construct a lightweight product form diagram.

[0019] It should be understood that, firstly, on the packaging design platform, a comprehensive 3D scan of the target product is performed using the platform's scanning terminal to obtain the product's precise 3D geometric information. Through high-precision 3D scanning equipment, the system can capture the product's surface point cloud data, thereby generating a detailed 3D model of the product.

[0020] Next, the 3D reconstruction engine is triggered to further process the product model. Based on the product's local geometric features and material properties, the engine performs graph segmentation on the 3D model. Graph segmentation decomposes a complex 3D model into multiple sub-regions with similar features, each sub-region corresponding to a node. In this way, the complex product structure is simplified into a combination of basic units, facilitating subsequent analysis and processing. During graph segmentation, the system determines the first node topology, i.e., the spatial distribution and connection relationships between the nodes. The spatial phase distribution of the first node topology is related to the product's 3D model. Figure 1 This ensures that the position and orientation of each node match the actual geometry of the product. This topology provides the basic framework for subsequent analysis of connections and interaction forces.

[0021] Next, based on the first node topology, the second edge feature is further established. Edge features refer to the connection relationships between nodes and the interaction forces between nodes and the external environment. Connection relationships characterize the assembly relationships between the local graphs of nodes. For example, some nodes may be combined by mechanical connections (such as bolts or welding), while others may be assembled by nesting or interlocking. Interaction forces include the interaction forces between nodes (such as friction and support forces) and external stresses (such as gravity and vibration forces during transportation). By analyzing these connection relationships and interaction forces, the system can more accurately simulate the stress conditions of products during actual use and transportation, thus providing a more reliable basis for packaging design.

[0022] Finally, by combining the topology of the first node and the features of the second side, a lightweight form diagram of the product is constructed. This process, based on the topological relationships and connection features of the nodes, involves filtering, reconstructing, and optimizing to form a simplified product model, removing redundant details while retaining key structural and mechanical properties. The lightweight product form diagram is a model optimized and simplified from the original 3D diagram, while retaining the product's key geometric features and structural information. It not only significantly reduces data volume and improves processing efficiency but also better adapts to the needs of dynamic adjustment in subsequent packaging configuration planning.

[0023] P20: Import the lightweight product form diagram into the configuration planning module, execute first-order configuration planning based on the packaging rule base, and second-order configuration planning based on the stress field to generate the product packaging configuration; wherein, the second-order configuration planning performs filtering and reconstruction of the lightweight product form diagram based on correlation and causality, and configuration iterative optimization under the first-order configuration planning.

[0024] Specifically, the generated lightweight product form diagram is imported into the configuration planning module for further processing.

[0025] First, the lightweight product form diagram obtained after lightweight reconstruction is imported into the configuration planning module. The configuration planning module is a crucial part of the entire packaging design system. Its function is to generate preliminary packaging configuration schemes based on the input product form information and a predefined packaging rule library. The packaging rule library contains basic principles and constraints of packaging design, such as material selection, size limitations, stability requirements, and cost control. These rules provide clear design directions and boundary conditions for configuration planning, ensuring that the generated packaging configuration not only meets the product's protection needs but can also be implemented in actual production.

[0026] Based on the packaging rule base, the configuration planning module performs first-order configuration planning. In this stage, the system generates a preliminary packaging configuration based on the geometric features of the lightweight product's form and the requirements of the packaging rule base. This configuration primarily considers the product's basic dimensions, shape, and the basic properties of the packaging materials, aiming to provide a packaging design solution that meets basic functional requirements. The result of the first-order configuration planning is a relatively coarse packaging configuration, providing a basic framework for subsequent optimization.

[0027] Next, the second-order configuration planning stage begins. In this stage, the system incorporates stress field analysis to optimize the initially generated packaging configuration. The purpose of stress field analysis is to simulate various stress conditions that the packaging may experience during actual use, such as vibration, compression, and impact during transportation. By applying a stress field, the stability and reliability of the packaging configuration under different stress conditions are evaluated, and adjustments are made accordingly. The core of second-order configuration planning lies in filtering and reconstructing the lightweight product form diagram based on correlation and causality, and iteratively optimizing the results of the first-order configuration planning.

[0028] Specifically, the screening and reconstruction process identifies the most important aspects of the packaging design based on the product's key features and stress distribution. This process can be based on correlation analysis, which analyzes the relationship between product morphology features and stress distribution to determine which features have a decisive impact on the stability and reliability of the packaging. Simultaneously, causal analysis considers the interactions between these features and their impact on the overall packaging configuration. Through screening and reconstruction, redundant information is removed, key features are retained, resulting in a more efficient and compact packaging configuration.

[0029] Based on the screening and reconstruction, and combined with the results of the first-order configuration planning, iterative optimization of the configuration is carried out. Iterative optimization is a process of gradual adjustment and improvement. The system continuously adjusts the size, shape, material distribution, and other parameters of the packaging configuration according to the results of stress field analysis until the optimal design is achieved. Each iteration brings the packaging configuration closer to the ideal state, and the final product packaging configuration not only effectively protects the product but also achieves the best balance in terms of cost and space utilization.

[0030] Furthermore, before importing the lightweight product form diagram into the configuration planning module, in order to construct the configuration planning module, step P20 of this application embodiment further includes:

[0031] P21a: Construct a first planning layer and a second planning layer as the planning architecture; P22a: Use packaging rule base matching and the first adaptive planning group as the first planning logic, and topology reconstruction and asymmetric optimization group under correlation and causality judgment as the second planning logic, and perform supervised training on the planning architecture until convergence to determine the configuration planning module; P23a: Embed the configuration planning module in the packaging design platform.

[0032] In one possible embodiment of this application, in order to achieve efficient and accurate product packaging configuration planning, the construction and deployment process of the configuration planning module can be further refined to ensure that the configuration planning module can adapt to the packaging needs of complex products and operate efficiently in practical applications.

[0033] Before importing lightweight product form diagrams into the configuration planning module, the module's planning architecture must first be constructed, specifically including building a first planning layer and a second planning layer. The first planning layer is mainly responsible for preliminary configuration planning based on the packaging rule base, while the second planning layer focuses on optimization planning based on stress field analysis and topological reconstruction. This layered architecture design enables the configuration planning module to efficiently handle complex packaging design tasks while taking into account both design accuracy and optimization requirements.

[0034] The core of the first planning layer is the packaging rule base, which stores the basic principles and constraints of packaging design, such as material selection, size limitations, stability requirements, and cost control. These rules provide clear design directions and boundary conditions for configuration planning, ensuring that the generated packaging configuration not only meets the product's protection needs but can also be implemented in actual production. The second planning layer introduces stress field analysis and topology reconstruction techniques. Stress field analysis is used to simulate various stress conditions that packaging may experience during actual use, such as vibration, compression, and impact during transportation. Through stress field analysis, the system can evaluate the stability and reliability of the packaging configuration under different stress conditions and adjust the configuration accordingly. Topology reconstruction, based on correlation and causality analysis, filters and reconstructs the form diagram of lightweight products, removing redundant information and retaining key features, thereby generating a more efficient and compact packaging configuration.

[0035] After constructing the first and second planning layers, the entire planning architecture needs to undergo supervised training. Through extensive sample data and feedback mechanisms, the parameters and logic of the planning architecture are optimized to accurately generate packaging configurations that meet the requirements. Supervised training includes two main planning logics: the first planning logic is based on packaging rule base matching and the first adaptive planning group. In this stage, the system performs preliminary configuration planning on the input lightweight product form diagram according to the rules in the packaging rule base. The first adaptive planning group then dynamically adjusts the planning parameters based on different product characteristics and design requirements to generate a preliminary packaging configuration. The goal of this stage is to generate a packaging design scheme that meets basic functional requirements.

[0036] The second planning logic centers on topological morphology reconstruction and asymmetric optimization based on correlation and causality determination. In this stage, the system introduces stress field analysis and topological morphology reconstruction techniques to optimize the initially generated packaging configuration. Correlation and causality determination analyzes the relationship between product morphological features and stress distribution, determining which features have a decisive impact on the stability and reliability of the packaging. Based on these analysis results, topological morphology reconstruction filters and reconstructs the lightweight product morphology diagram, removing redundant information and retaining key features. The asymmetric optimization group is responsible for finding the optimal configuration parameters during the optimization process, ensuring that the final packaging configuration meets functional requirements while achieving an optimal balance between cost and space utilization. Through supervised training, the system continuously adjusts and optimizes the parameters and logic of the first and second planning logics until the entire planning architecture converges, generating a stable configuration planning module. The supervised training process requires a large amount of sample data and a feedback mechanism to ensure the accuracy and reliability of the module.

[0037] After completing supervised training and defining the configuration planning module, it needs to be embedded into the packaging design platform. Embedded deployment means the configuration planning module will function as a core component of the platform, tightly integrated with other functional modules (such as 3D scanning and display modules) to achieve seamless integration and collaborative operation. The advantages of embedded deployment are that the configuration planning module can directly utilize the data and resources provided by the packaging design platform, such as lightweight product form diagrams and stress field analysis results, thereby improving the efficiency and responsiveness of the entire packaging design system. Simultaneously, embedded deployment also enables the configuration planning module to receive user input and feedback in real time, further optimizing the design process.

[0038] Furthermore, in the embodiment of this application, step P20 further includes performing first-order configuration programming based on the packaging rule base:

[0039] P21: Establish a packaging rule base, wherein the packaging rule base stores a rule set and a condition set, and the packaging rule base interacts with the configuration planning module; P22: In the first planning layer, identify the lightweight product form diagram, traverse the packaging rule base to perform rule and condition matching, and integrate them as the first planning set; P23: According to the first planning set, execute the first adaptive planning based on the lightweight product form diagram to determine the first packaging configuration.

[0040] Specifically, in order to achieve first-order configuration planning based on the packaging rule base, the establishment of the packaging rule base and the interaction process with the configuration planning module can be further refined to ensure that the configuration planning module can efficiently utilize the information in the packaging rule base to generate a preliminary packaging configuration that meets the requirements.

[0041] Before executing first-order configuration planning based on the packaging rule base, the packaging rule base must first be established. The packaging rule base is the core component of the configuration planning module, storing rule sets and condition sets. Rule sets define the basic principles and constraints of packaging design, such as material selection, size limitations, stability requirements, and cost control. Condition sets contain the specific conditions that trigger these rules, such as the product's size range, weight, and shape characteristics. An interaction mechanism is established between the packaging rule base and the configuration planning module to ensure that the configuration planning module can access and apply these rules and conditions in real time.

[0042] Next, in the first planning layer, the lightweight product form diagram is identified, and the packaging rule base is traversed to match rules and conditions. Specifically, the geometric features, material properties, and other relevant parameters of the lightweight product form diagram are analyzed, and each is compared with the rules and conditions in the packaging rule base. The combination of rules and conditions applicable to the current product is selected and integrated as the first planning set. The first planning set is the basis for the configuration planning module to generate the preliminary packaging configuration in the first stage.

[0043] Based on the first planning set, perform the first adaptive planning based on the lightweight product form diagram. The purpose of the first adaptive planning is to dynamically adjust the packaging design parameters according to the specific characteristics of the product and the rules in the packaging rule base to generate a preliminary packaging configuration. This process can consider factors such as the product's size, shape, and weight, while also taking into account the properties and cost constraints of the packaging materials, to ensure that the generated packaging configuration not only meets the product's protection needs but is also feasible in actual production. Finally, the first packaging configuration is determined, providing a basic framework for subsequent optimization planning.

[0044] Furthermore, in performing second-order configuration planning based on the applied stress field, step P20 of this embodiment also includes:

[0045] P24: In the second planning layer, a first stress field is introduced, wherein the first stress field is environmental stress and belongs to interval stress; P25: Based on the first stress field, the nodes in the lightweight product morphology diagram are subjected to a first correlation screening to determine a first-order reconstructed morphology diagram; P26: The nodes in the first-order reconstructed morphology diagram are subjected to a second causal screening to determine a first reconstructed morphology diagram.

[0046] Optionally, the process of second-order configuration planning based on stress field application can be further refined to ensure that the packaging configuration can accurately adapt to the stress environment that the product may face in actual use during the optimization process, while avoiding over-adjustment.

[0047] First, a first stress field is introduced in the second planning layer. This stress field refers to the forces or stresses applied to the product by the external environment, typically including vibrations, impacts, and pressures that may occur during transportation. These external environmental factors can cause product deformation, damage, or failure; therefore, the impact of these stresses must be considered in packaging design. The first stress field belongs to interval stress, that is, the stress distribution within a specific range. It considers multiple stress sources applied by the environment and is used to simulate the mechanical states that the product may experience under different transportation conditions. By introducing this stress field, the system can take into account the influence of these external stresses, providing necessary mechanical support for subsequent optimization design.

[0048] Next, a first correlation screening is performed on each node in the lightweight product form diagram based on the introduced first stress field. The purpose of correlation screening is to identify and eliminate nodes that are unrelated to or have a minor impact on the stress field, while reinforcing key nodes that may undergo significant deformation or experience high stress under the stress field. Specifically, the response of each node in the stress field can be analyzed to determine which nodes' geometric features, material properties, or locations have a significant impact on the overall stress distribution. Through the first correlation screening, nodes that play a crucial role in packaging configuration optimization can be identified, effectively reducing unnecessary computation and allowing for focused optimization of parts significantly affected by the stress field.

[0049] Subsequently, a second causal screening is performed on each node in the first-order reconstructed morphological diagram. Causal screening differs from correlation screening; it focuses not only on the correlation between nodes but also on the causal relationship of their mechanical interactions. For example, some nodes may deform under external stress, and this deformation, in turn, affects the stress and deformation states of other nodes. Therefore, it is necessary to further optimize the product morphological diagram by analyzing the causal relationships between nodes, avoiding unnecessary design changes due to over-adjustment. Through the second causal screening, it is possible to more accurately determine which nodes require further adjustment, thus determining the final first reconstructed morphological diagram. This ensures that the packaging design meets stress field requirements while avoiding unnecessary complexity caused by over-adjustment.

[0050] Furthermore, after determining the first reconstructed morphological diagram, step P26 of this application embodiment also includes:

[0051] P26-1a: Identify the first reconstructed morphological diagram, solve for the balance between morphological variables and packaging adjustment amount, perform multiple rounds of adjustment iterations, and determine the second packaging configuration; P26-2a: Scan the second packaging configuration, perform packaging geometric smoothing processing based on the packaging rule base, and determine the product packaging configuration.

[0052] Specifically, after determining the first reconstructed morphological diagram, the process of multiple rounds of adjustment and iteration based on morphological variables and packaging adjustment amounts can be further refined, as well as the geometric smoothing process based on the packaging rule base, to ensure that the packaging configuration can achieve a balance between form and function during the optimization process, and ultimately generate a product packaging configuration that meets the design requirements.

[0053] First, the initial reconstructed morphological diagram is identified, and multiple rounds of adjustment iterations are conducted with the goal of achieving a balance between morphological variables and packaging adjustment amounts. Morphological variables encompass geometric parameters that may change during the optimization process, such as size, shape, and thickness; while packaging adjustment amounts refer to the extent of adjustment required to meet packaging functional requirements (such as protection, stability, and cost control). In these multiple rounds of adjustment iterations, morphological variables are gradually adjusted based on the initial state of the initial reconstructed morphological diagram, and changes in packaging adjustment amounts are monitored in real time to ensure a balance between the two. For example, if an adjustment of a morphological variable causes the packaging adjustment amount to exceed a reasonable range, the system will automatically revert and try other adjustment strategies. This process can be implemented using an iterative optimization algorithm, including key steps such as initial state analysis, iterative adjustment, balance evaluation, and convergence judgment. When the balance between morphological variables and packaging adjustment amounts reaches its optimal state, or when the number of iterations reaches a preset upper limit, the system stops iterating and determines the second packaging configuration.

[0054] Subsequently, the second packaging configuration is scanned, and geometric smoothing is performed based on a packaging rule library. Geometric smoothing eliminates irregular geometric features that may appear during the optimization process, ensuring the smoothness and consistency of the packaging surface. Specifically, the geometric features of the second packaging configuration are analyzed and adjusted according to the rules in the packaging rule library, covering aspects such as surface smoothing, edge treatment, size adjustment, and material compatibility checks. Surface smoothing eliminates irregular protrusions or depressions on the packaging surface; packaging edges are optimized to avoid potential product damage or safety hazards caused by sharp edges; the dimensions of the packaging configuration are fine-tuned according to the size constraints in the packaging rule library to ensure they meet production requirements; and the optimized packaging configuration is matched with the physical properties of the selected packaging material, such as strength and flexibility.

[0055] Finally, after smoothing and rule base verification, the product packaging configuration was determined. This configuration was not only optimized in terms of geometry to meet all design standards, but also fully verified in terms of mechanics and stress distribution to ensure that the product is adequately protected during transportation and storage.

[0056] Furthermore, in order to balance the morphological variables and packaging adjustment amounts, step P26-1a of this application embodiment also includes:

[0057] P26-11a: Traverse the first reconstructed morphological graph to determine multiple greedy control groups, wherein each greedy control group contains a node in the first reconstructed morphological graph - a node morphological variable - a node packaging adjustment amount; P26-12a: Identify the first greedy control group among the multiple greedy control groups, and perform node packaging adjustment amount decision under multiple rounds of perturbation with random perturbation of the node morphological variable to determine multiple adjustment schemes, wherein the random perturbation is constrained by the first stress field, and the node packaging adjustment amount is based on the first packaging configuration; P26-13a: Based on the multiple adjustment schemes, take the intersection of the adjustments as the first node scheme.

[0058] In one possible embodiment of this application, in order to achieve a balanced solution of morphological variables and packaging adjustment amounts, the multi-round perturbation decision process can be further refined. Through local optimization and random perturbation, a stable and reliable packaging configuration can be generated under complex stress conditions.

[0059] First, the initial reconstructed form diagram is traversed, and multiple greedy control groups are identified. This process utilizes the greedy optimization principle to perform targeted optimization on each local region requiring optimization. Within each local region, a locally optimal solution is selected for optimization, thereby progressively advancing the overall optimization. Each greedy control group consists of a node, the node's morphological variables, and the node's packaging adjustment amount. A node represents an independent functional unit or geometric region of the product in the reconstructed form diagram; the morphological variables describe the node's geometric characteristics (e.g., size, shape); and the packaging adjustment amount refers to the morphological adjustments required to optimize the node's packaging design. These greedy control groups provide a basis for local optimization in subsequent optimization steps, enabling a more refined optimization process that progressively optimizes each node individually.

[0060] After identifying multiple greedy control groups, the first greedy control group is further identified. For this control group, based on random perturbations of the node morphological variables, the system executes multi-round perturbation decisions regarding node packaging adjustments. Specifically, the system randomly perturbs the node morphological variables under the constraint of the first stress field. The purpose of the random perturbation is to simulate various stress changes that may be encountered in actual use, thereby evaluating the adaptability and stability of the packaging configuration under different conditions. After each perturbation, the system calculates the corresponding node packaging adjustment amount based on the first packaging configuration and generates multiple adjustment schemes.

[0061] Finally, based on the results of multiple adjustment schemes, the intersection of adjustments is selected as the final optimization result. The adjustment intersection refers to the region where, under multiple rounds of random perturbation, all perturbation schemes can achieve a consistent local adjustment effect. These local adjustment schemes satisfy all perturbation constraints and optimization objectives, and therefore can be retained in the final packaging design as the first node scheme after optimization. This intersection scheme ensures that in subsequent optimization processes, all nodes adjusted by perturbation can produce effective adjustments under consistent constraints, avoiding optimization failure due to excessive conflicts and inconsistencies.

[0062] Furthermore, after multiple rounds of adjustment and iteration to determine the second packaging configuration, step P26-1a of this embodiment also includes:

[0063] P26-14a: Traverse the multiple greedy control groups, perform multiple rounds of perturbation decision-making for each group, and determine the Nth node scheme, where N is the total number of control nodes; P26-15a: Based on the first node scheme up to the Nth node scheme, determine a one-step optimized configuration; P26-16a: For the one-step optimized configuration, perform global configuration coordination optimization as the second packaging configuration.

[0064] Optionally, to further optimize the packaging design, multiple greedy control groups are traversed group by group, and multiple rounds of perturbation decisions are made for each control group. Specifically, for each greedy control group, the system repeatedly executes an optimization process similar to that of the first greedy control group, that is, by randomly perturbing the node morphological variables, it performs multiple rounds of perturbation decisions on the node packaging adjustment amount, and finally determines the node scheme corresponding to each control group. This process continues until all control groups (i.e., the Nth control group, where N is the total number of control nodes) have been optimized, thereby determining the Nth node scheme. In this way, it can be ensured that the local optimization scheme of each node has undergone sufficient perturbation testing and verification, thus providing a reliable foundation for global optimization.

[0065] After all the solutions for node N are generated, these solutions are combined, and a one-step optimization configuration is formed based on the optimization results of each node. The one-step optimization configuration is the result of summarizing the solutions from node 1 to node N. This configuration represents the best local optimization solution achieved through multiple rounds of adjustments at local nodes. However, although these local optimizations can meet certain packaging requirements, further global coordination optimization is needed to ensure the consistency and optimization of the packaging design globally.

[0066] Next, a global configuration coordination optimization is performed on the optimized configuration to ensure that all local adjustments and packaging design schemes are coordinated globally. This means ensuring the mechanical stability and space utilization efficiency of each local scheme and avoiding design conflicts or inconsistencies caused by local optimization. Global optimization will adjust the overall layout of the packaging to ensure that the entire packaging configuration achieves an optimal balance in terms of mechanical performance, space utilization, and cost-effectiveness. Specifically, global optimization may include adjustments to the size, shape, and material distribution of the packaging configuration to ensure its stability and reliability in actual use.

[0067] Finally, through global coordination and optimization, a second packaging configuration was obtained. This configuration not only meets the mechanical and stress field requirements, but also ensures the structural stability of the packaging, material savings, and efficient space utilization, providing an optimized solution for product transportation and storage in practical applications.

[0068] P30: The product packaging configuration is displayed on the platform display port, and the display method includes multiple mode switching.

[0069] Furthermore, step P30 in this embodiment of the application also includes:

[0070] P31: Assemble the target product and the product packaging configuration to determine the first display mode; P32: Visualize the first display mode on the platform display port.

[0071] It should be understood that the product packaging configuration will be displayed on the platform's display interface, allowing users to intuitively view and evaluate the packaging design. The display will include multiple mode switching options, enabling users to view different perspectives and details of the packaging configuration according to their specific needs.

[0072] First, the target product is assembled with the generated product packaging configuration. This process simulates the combination of the product and packaging configuration to ensure that the packaging design perfectly fits the product form. During assembly, the product and its corresponding packaging configuration are virtually combined, visually demonstrating the overall appearance and structure of the product in its packaged state. Through precise geometric matching, assembly relationship verification, and stress analysis, the compatibility between the product and packaging configuration is ensured, avoiding dimensional inconsistencies or assembly conflicts, and verifying the reliability of the packaging in actual use.

[0073] Once the target product and packaging configuration are successfully assembled, the primary display mode is determined. This involves selecting an appropriate display perspective and presentation method based on the actual conditions of the product and packaging. This mode may include different view modes, such as 3D views, cut views, and rotated views, which help users comprehensively understand the integration of packaging design and product from multiple angles, ensuring that all design details are clearly displayed.

[0074] Next, the platform's display port visualizes the first display mode, providing various display tools and functions to allow users to easily view and evaluate the packaging configuration. Users can switch between different display modes as needed, such as 2D views, 3D views, and sectional views, to gain a more comprehensive understanding of the packaging configuration's design details. Furthermore, the system allows users to add annotations and notes to the display interface, pointing out key design points or areas for improvement. Through interactive operations such as dragging, rotating, and zooming, users can examine the displayed packaging configuration in detail, thereby better evaluating its design rationality and practicality.

[0075] Through the above steps, not only can the product packaging configuration be displayed, but also the user's ability to evaluate and optimize the packaging design can be enhanced through multi-mode switching and visualization functions. This provides users with intuitive, flexible and practical tools to ensure that the final packaging design can meet the product's protection needs and actual usage requirements.

[0076] In summary, the embodiments of this application have at least the following technical effects:

[0077] This application utilizes 3D scanning and lightweight reconstruction technology to automatically generate product form diagrams, significantly improving the efficiency and accuracy of packaging design. Combining first- and second-order configuration planning, and considering the influence of stress fields and product form characteristics, it automatically optimizes packaging solutions to ensure product safety during transportation and storage. Based on the form and stress requirements of different products, it provides adaptive packaging designs, solving the problem of traditional methods being unable to effectively handle complex product packaging. The platform display offers multi-mode switching, allowing users to view packaging designs from different angles, enhancing the visualization of packaging solution evaluation and optimization. Through multiple rounds of iterative optimization and correlation and causal analysis, it ensures that the packaging design protects the product while optimizing material usage and reducing costs.

[0078] This technology achieves the effect of adaptively and dynamically adjusting packaging design by referring to changes in product form and the influence of stress field, thus ensuring effective protection of the product.

[0079] Example 2, based on the same inventive concept as the adaptive product form packaging design dynamic control method in the foregoing examples, such as... Figure 2 As shown, this application provides a dynamic control system for packaging design that adapts to product form. The system and method embodiments in this application are based on the same inventive concept. The system includes:

[0080] The lightweight reconstruction module 11 is used to perform a 3D scan of the target product on the packaging design platform based on the platform's scanning end, and determine the lightweight product form diagram through lightweight reconstruction.

[0081] Configuration planning module 12 imports the lightweight product form diagram into the configuration planning module, performs first-order configuration planning based on the packaging rule base and second-order configuration planning based on the stress field application, and generates product packaging configuration. The second-order configuration planning performs filtering and reconstruction of the lightweight product form diagram based on correlation and causality, and configuration iterative optimization under the first-order configuration planning.

[0082] The packaging configuration display module 13 is used to display the product packaging configuration on the platform display port, wherein the display mode includes multiple mode switching.

[0083] Furthermore, the lightweight reconstruction module 11 is also used to perform the following steps:

[0084] Scan the target product to determine its 3D model; trigger the 3D reconstruction engine to perform graph segmentation on the product's 3D model based on local geometry and material properties, and determine the first node topology, wherein the spatial phase distribution of the first node topology is related to the product's 3D model. Figure 1 Each product segmentation diagram corresponds to a node; based on the connection relationship and interaction force, a second edge feature is established, wherein the connection relationship represents the assembly relationship between the local graphs of the nodes, and the interaction force includes the interaction force between nodes and external stress; based on the first node topology and the second edge feature, a lightweight product form diagram is constructed.

[0085] Furthermore, the configuration planning module 12 is also used to perform the following steps:

[0086] A first planning layer and a second planning layer are constructed as the planning architecture; the first planning logic is based on packaging rule base matching and a first adaptive planning group, and the second planning logic is based on topology reconstruction and asymmetric optimization group under correlation and causality judgment. The planning architecture is supervised and trained until convergence to determine the configuration planning module; the configuration planning module is embedded and deployed on the packaging design platform.

[0087] Furthermore, the configuration planning module 12 is also used to perform the following steps:

[0088] A packaging rule base is established, wherein the packaging rule base stores a rule set and a condition set, and the packaging rule base interacts with the configuration planning module; in the first planning layer, the lightweight product form diagram is identified, the packaging rule base is traversed to perform rule and condition matching, and integrated as a first planning set; according to the first planning set, a first adaptive planning based on the lightweight product form diagram is executed to determine the first packaging configuration.

[0089] Furthermore, the configuration planning module 12 is also used to perform the following steps:

[0090] In the second planning layer, a first stress field is introduced, wherein the first stress field is environmental stress and belongs to interval stress; based on the first stress field, a first correlation screening is performed on each node in the lightweight product morphology diagram to determine a first-order reconstructed morphology diagram; a second causal screening is performed on each node in the first-order reconstructed morphology diagram to determine a first reconstructed morphology diagram.

[0091] Furthermore, the configuration planning module 12 is also used to perform the following steps:

[0092] The first reconstructed morphological diagram is identified, and a balance between morphological variables and packaging adjustment amounts is achieved through multiple rounds of adjustment iterations to determine the second packaging configuration. The second packaging configuration is then scanned, and packaging geometric smoothing is performed based on the packaging rule base to determine the product packaging configuration.

[0093] Furthermore, the configuration planning module 12 is also used to perform the following steps:

[0094] Traverse the first reconstructed morphological graph to determine multiple greedy control groups, each of which includes a node in the first reconstructed morphological graph, a node morphological variable, and a node packaging adjustment amount. Identify the first greedy control group among the multiple greedy control groups, and use random perturbations of the node morphological variable to perform node packaging adjustment amount decisions under multiple rounds of perturbations to determine multiple adjustment schemes. The random perturbations are constrained by the first stress field, and the node packaging adjustment amount is based on the first packaging configuration. Based on the multiple adjustment schemes, take the intersection of the adjustments as the first node scheme.

[0095] Furthermore, the configuration planning module 12 is also used to perform the following steps:

[0096] The multiple greedy control groups are traversed, and multiple rounds of perturbation decisions are performed for each group to determine the Nth node scheme, where N is the total number of control nodes; based on the first node scheme up to the Nth node scheme, a one-step optimization configuration is determined; for the one-step optimization configuration, global configuration coordination optimization is performed as the second packaging configuration.

[0097] Furthermore, the packaging configuration display module 13 is also used to perform the following steps:

[0098] Assemble the target product and the product packaging configuration to determine a first display mode; visualize the first display mode on the platform display port.

[0099] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0100] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0101] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application intends to include such modifications and variations.

Claims

1. A dynamic regulation method of packaging design of adaptive product form, characterized in that, The method comprises: In the packaging design platform, a three-dimensional scan of the target product is performed according to a platform scanning end, and a lightweight product morphology diagram is determined through lightweight reconstruction; The lightweight product morphology diagram is imported into a configuration planning module, a first-order configuration planning based on a packaging rule library is performed, and a second-order configuration planning based on a stress field is applied to generate a product packaging configuration; The product packaging configuration is displayed on a platform display port, wherein the display mode includes multi-mode switching; The second-order configuration planning performs correlation and causality-based filtering reconstruction of the lightweight product morphology diagram and configuration iterative optimization under the first-order configuration planning; The lightweight product morphology diagram is determined through lightweight reconstruction, comprising: Scanning the target product to determine the product three-dimensional diagram; Triggering a three-dimensional reconstruction engine, performing graph segmentation on the product three-dimensional diagram according to local geometry and material properties, and determining a first node topology, wherein the spatial phase distribution of the first node topology is consistent with the product three-dimensional diagram, and each product segmentation graph corresponds to a node; According to the connection relationship and the interaction force, the second edge feature is established, wherein the connection relationship represents the assembly relationship between the node local graph, and the interaction force includes the interaction force between the nodes and the external stress; According to the first node topology and the second edge feature, the lightweight product morphology diagram is constructed; Before the lightweight product morphology diagram is imported into the configuration planning module, the configuration planning module is constructed, comprising: Building a first planning layer and a second planning layer as a planning architecture; Taking the packaging rule library matching and the first adaptive planning group as the first planning logic, and taking the topology morphology reconstruction and the asymmetric optimization group under the correlation and causality judgment as the second planning logic, the planning architecture is supervised and trained to convergence to determine the configuration planning module; The configuration planning module is embedded and deployed in the packaging design platform; The first-order configuration planning based on the packaging rule library comprises: Establishing a packaging rule library, wherein the packaging rule library stores a rule set and a condition set, and the packaging rule library and the configuration planning module have interaction; In the first planning layer, the lightweight product morphology diagram is identified, the packaging rule library is traversed for rule and condition matching, and the first planning set is integrated; According to the first planning set, the first adaptive planning based on the lightweight product morphology diagram is performed to determine the first packaging configuration; The second-order configuration planning based on the stress field comprises: In the second planning layer, a first stress field is introduced, wherein the first stress field is an environmental stress and belongs to an interval stress; According to the first stress field, each node in the lightweight product morphology diagram is first filtered based on correlation to determine a first reconstruction morphology diagram; Each node in the first reconstruction morphology diagram is second filtered based on causality to determine a first reconstruction morphology diagram.

2. The dynamic adaptive product form packaging design method of claim 1, wherein, After determining the first reconstruction morphology diagram, comprising: The first reconstruction morphology diagram is identified to balance the morphology variables and the packaging adjustment amount, and multiple rounds of adjustment iteration are performed to determine the second packaging configuration; The second packaging configuration is scanned, and packaging geometry smoothing processing is performed based on the packaging rule library to determine the product packaging configuration.

3. The dynamic adaptive product form packaging design method of claim 2, wherein, Balancing the morphological variables and the package adjustment amount, performing multiple rounds of adjustment iteration, including: Traverse the first reconstructed morphological graph to determine multiple greedy control groups, wherein each greedy control group contains a node-node morphological variable-node package adjustment amount in the first reconstructed morphological graph; Identify the first greedy control group in the multiple greedy control groups, perform node package adjustment amount decision under multiple rounds of perturbation with random perturbation of node morphological variables, and determine multiple adjustment schemes, wherein the random perturbation is constrained by the first stress field, and the node package adjustment amount is based on the first package configuration; Based on the multiple adjustment schemes, take the adjustment intersection as the first node scheme.

4. The dynamic adaptive product form packaging design method of claim 3, wherein, Traverse the multiple greedy control groups and perform multiple rounds of perturbation decision for each group to determine the Nth node scheme, wherein N is the total number of control nodes; Based on the first node scheme to the Nth node scheme, determine a one-step optimization configuration; For the one-step optimization configuration, perform global configuration coordination optimization as the second package configuration.

5. The dynamic adaptive product form packaging design method of claim 1, wherein, Assemble the target product and the product package configuration to determine the first display mode; Visualize the first display mode on the platform display port.

6. The dynamic regulation system of packaging design of adaptive product form, characterized in that, The system is used to implement the adaptive product morphological package design dynamic control method of any one of claims 1-5, and the system comprises: A lightweight reconstruction module is used to perform three-dimensional scanning of a target product based on a platform scanning port on a package design platform, and to determine a lightweight product morphological graph through lightweight reconstruction; A configuration planning module is used to import the lightweight product morphological graph into the configuration planning module, perform first-order configuration planning based on a package rule library, and perform second-order configuration planning based on a stress field, to generate a product package configuration, wherein the second-order configuration planning performs filtering reconstruction of the lightweight product morphological graph based on correlation and causality, and configuration iteration optimization under the first-order configuration planning; A package configuration display module is used to display the product package configuration on a platform display port, wherein the display mode includes multiple mode switching.

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