Corrugated carton design optimization method and system based on model data

Abstract

The invention relates to the technical field of data processing, and provides a corrugated carton design optimization method and system based on model data, and the method comprises the steps: calculating an environment comprehensive influence coefficient; constructing a material strength correction coefficient considering the dynamic change of the environment; calculating a dynamic bearing capacity optimization coefficient; determining an optimization target value according to the environment comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient; according to the optimization target value, determining a comprehensive performance index representing a performance evaluation index verification optimization result of the corrugated carton; establishing a dynamic feedback correction system according to a time decay mechanism, and determining correction parameters of the comprehensive performance indexes; and optimizing the environment comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient according to the correction coefficient, and adaptively adjusting the design parameters of the corrugated carton to obtain a design optimization result. The design performance of the corrugated carton can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a corrugated cardboard box design optimization method, system and electronic device based on model data. Background Art

[0002] As an important part of the modern packaging industry, corrugated cardboard boxes are widely used in the transportation and storage of goods. Traditional corrugated cardboard box design methods usually rely on empirical formulas and manual calculations, and these methods mainly design based on factors such as the size of the cardboard box, the type of corrugation, and the strength of the paper material.

[0003] However, existing design methods often ignore dynamic optimization based on actual usage conditions and the comprehensive use of model data. Traditional design methods mostly rely on static empirical data and lack adaptability and fine adjustment to the performance of cardboard boxes in different transportation environments. Summary of the Invention

[0004] In view of the technical problems existing in the prior art, the present invention provides a corrugated cardboard box design optimization method, system and electronic device based on model data that can improve the design performance of corrugated cardboard boxes.

[0005] The technical solution of the present invention to solve the above technical problems is as follows:

[0006] The present invention provides a corrugated cardboard box design optimization method based on model data, and the method includes:

[0007] Construct an environmental impact coefficient model including temperature, humidity and vibration parameters of the environment where the corrugated cardboard box is located, and calculate the comprehensive environmental impact coefficient;

[0008] According to the comprehensive environmental impact coefficient, construct a material strength correction coefficient considering dynamic environmental changes;

[0009] According to the material characteristics and box geometric parameters of the corrugated cardboard box, calculate the dynamic load-bearing capacity optimization coefficient;

[0010] According to the comprehensive environmental impact coefficient, the material strength correction coefficient and the dynamic load-bearing capacity optimization coefficient, determine the optimization target value;

[0011] According to the optimization target value, determine a comprehensive performance index for characterizing the performance evaluation index of the corrugated cardboard box to verify the optimization result;

[0012] Establish a dynamic feedback correction system according to the time decay mechanism, and determine the correction parameters of the comprehensive performance index;

[0013] Optimize the environmental comprehensive impact coefficient, the material strength correction coefficient, and the dynamic load-bearing capacity optimization coefficient according to the correction coefficient, and adaptively adjust the design parameters of the corrugated box to obtain the design optimization result.

[0014] Further, calculating the environmental comprehensive impact coefficient includes:

[0015] Obtain the current environmental temperature, environmental humidity, and transportation vibration frequency of the environment where the corrugated box is located;

[0016] Obtain the standard environmental temperature, standard environmental humidity, and standard transportation vibration frequency of the environment where the corrugated box is located;

[0017] Process the current environmental temperature, environmental humidity, and transportation vibration frequency of the environment where the corrugated box is located according to the standard environmental temperature, the standard environmental humidity, and the standard transportation vibration frequency to obtain the environmental comprehensive impact coefficient.

[0018] Further, constructing the material strength correction coefficient considering the dynamic change of the environment according to the environmental comprehensive impact coefficient includes:

[0019] Obtain the initial strength coefficient representing the strength reference value of the material of the corrugated box in the standard environment;

[0020] Obtain the environmental sensitivity representing the sensitivity of the material strength of the corrugated box to the environmental comprehensive impact coefficient;

[0021] Obtain the service life of the corrugated box, the period parameter representing the periodic characteristics of the change of the material strength of the corrugated box with time, and the fluctuation amplitude coefficient of the periodic fluctuation with time;

[0022] Obtain the actual stress borne by the material strength of the corrugated box in actual use;

[0023] Determine the material strength correction coefficient of the corrugated box according to the initial strength coefficient, environmental sensitivity, service life, period parameter, fluctuation amplitude coefficient, and actual stress corresponding to the corrugated box, in combination with the environmental comprehensive impact coefficient.

[0024] Further, calculating the dynamic load-bearing capacity optimization coefficient according to the material characteristics and box geometric parameters of the corrugated box includes:

[0025] Obtain the reference load-bearing value, the corrugated structure coefficient of each layer, the corrugated angle, the box height, the box width, and the geometric correction index of the corrugated box;

[0026] Determine the corrugated structure enhancement value of the corrugated box according to the reference load-bearing value, the corrugated structure coefficient of each layer, and the corrugated angle;

[0027] Determine a geometric ratio correction value for the influence of the ratio of the box height to the box width of the corrugated cardboard box on the load-bearing capacity according to the box height, box width, and geometric correction index of the corrugated cardboard box;

[0028] Obtain a structural compensation value for the compensation of the load-bearing capacity by other structures except the corrugated structure in the corrugated cardboard box;

[0029] Calculate the dynamic load-bearing capacity optimization coefficient according to the corrugated structure enhancement value, geometric ratio correction value, and structural compensation value of the corrugated cardboard box.

[0030] Further, determining the optimization target value according to the comprehensive environmental influence coefficient, the material strength correction coefficient, and the dynamic load-bearing capacity optimization coefficient includes:

[0031] Perform an integration process on the comprehensive environmental influence coefficient, the material strength correction coefficient, and the dynamic load-bearing capacity optimization coefficient according to the service duration of the corrugated cardboard box to determine a time integration term;

[0032] Obtain a spatial distribution term representing the performance difference of the corrugated cardboard box in spatial distribution;

[0033] Determine the optimization target value according to the time integration term and the spatial distribution term.

[0034] Further, determining a comprehensive performance index for verifying the optimization result of the performance evaluation index of the corrugated cardboard box according to the optimization target value includes:

[0035] Obtain a reference optimization value corresponding to the optimization target value;

[0036] Obtain a convergence coefficient representing the convergence speed of the optimization target value over time;

[0037] Obtain various error factors representing the influence of various errors in the optimization process on the comprehensive performance index;

[0038] Determine the comprehensive performance index according to the optimization target value, the reference optimization value, the convergence coefficient, and the various error factors.

[0039] Further, establishing a dynamic feedback correction system according to the time decay mechanism to determine the correction parameter of the comprehensive performance index includes:

[0040] Obtain a time decay coefficient representing the degree of influence of time on the correction coefficient;

[0041] Obtain state parameters representing the real-time state of the system;

[0042] Obtain a weight coefficient representing the contribution degree of each of the state parameters to the correction coefficient;

[0043] Determine the correction parameter according to the time decay coefficient, the weight coefficient, and the state parameter.

[0044] The present invention also provides a corrugated cardboard box design optimization system based on model data, and the system includes:

[0045] An environmental coefficient module, configured to construct an environmental impact coefficient model including temperature, humidity, and vibration parameters of the environment where the corrugated cardboard box is located, and calculate an environmental comprehensive impact coefficient;

[0046] A material coefficient module, configured to construct a material strength correction coefficient considering dynamic environmental changes according to the environmental comprehensive impact coefficient;

[0047] A load-bearing coefficient module, configured to calculate a dynamic load-bearing capacity optimization coefficient according to the material characteristics and box geometric parameters of the corrugated cardboard box;

[0048] An optimization value module, configured to determine an optimization target value according to the environmental comprehensive impact coefficient, the material strength correction coefficient, and the dynamic load-bearing capacity optimization coefficient;

[0049] An optimization verification module, configured to determine a comprehensive performance index characterizing the performance evaluation index of the corrugated cardboard box to verify the optimization result according to the optimization target value;

[0050] A feedback correction module, configured to establish a dynamic feedback correction system according to a time decay mechanism, and determine a correction parameter of the comprehensive performance index;

[0051] A design optimization module, configured to optimize the environmental comprehensive impact coefficient, the material strength correction coefficient, and the dynamic load-bearing capacity optimization coefficient according to the correction coefficient, and adaptively adjust the design parameters of the corrugated cardboard box to obtain a design optimization result.

[0052] The beneficial effects of the present invention are:

[0053] (1) The present invention makes real-time adjustments to the design through a dynamic environmental parameter model (such as temperature, humidity, and vibration, etc.), overcomes the limitations of traditional design methods that only rely on static standards, enables the design of the cardboard box to be optimized according to changes in the actual transportation and storage environment, and ensures the reliability and stability of the cardboard box under different environmental conditions.

[0054] (2) The present invention constructs a response function of the cardboard box material characteristics, corrects the material strength for environmental factors, and improves the material utilization efficiency. On the premise of ensuring the load-bearing capacity, by optimizing the material strength, the material cost can be reduced without affecting the actual performance of the cardboard box, and the production efficiency can be improved.

[0055] (3) The present invention adopts a dynamic bearing capacity calculation method, optimizes the bearing coefficient according to multiple factors (such as box height, box width, corrugation angle, etc.), so as to ensure that the cardboard box can carry more loads and will not be damaged or fail during transportation. This optimization not only improves the safety of the cardboard box, but also avoids damage to items caused by insufficient bearing capacity of the cardboard box.

[0056] In summary, the present invention can not only improve the performance of the cardboard box, but also improve production efficiency, reduce costs, and promote environmental protection and sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a scenario diagram of an optimized corrugated cardboard box design method based on model data provided by the present invention;

[0058] Figure 2 It is a flowchart of an optimized corrugated cardboard box design method based on model data provided by the present invention;

[0059] Figure 3 It is a schematic structural diagram of an optimized corrugated cardboard box design system based on model data provided by the present invention;

[0060] Figure 4 It is a schematic hardware structure diagram of a possible electronic device provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0061] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present invention.

[0062] Please refer to Figure 1 , Figure 1 It is a scenario diagram of an optimized corrugated cardboard box design method based on model data provided by the present invention. As Figure 1 shown, the terminal and the server are connected through a network, for example, through a wired or wireless network connection, etc. Among them, the terminal can include but is not limited to portable terminals such as mobile phones and tablets installed with various network platform applications, as well as fixed terminals such as computers, inquiry machines, and advertising machines. Among them, the server provides various business services for users, including service push servers, user recommendation servers, etc.

[0063] It should be noted that Figure 1The scenario diagram of an optimization method for corrugated box design based on model data shown is merely an example. The terminals, servers, and application scenarios described in the embodiments of the present invention are for more clearly illustrating the technical solutions of the embodiments of the present invention, and do not impose limitations on the technical solutions provided by the embodiments of the present invention. As can be known to those of ordinary skill in the art, with the evolution of the system and the emergence of new business scenarios, the technical solutions provided by the embodiments of the present invention are equally applicable to similar technical problems.

[0064] Among them, the terminal can be used for:

[0065] Construct an environmental impact coefficient model including the temperature, humidity, and vibration parameters of the environment where the corrugated box is located, and calculate the comprehensive environmental impact coefficient;

[0066] According to the comprehensive environmental impact coefficient, construct a material strength correction coefficient considering the dynamic changes of the environment;

[0067] According to the material characteristics and box geometric parameters of the corrugated box, calculate the dynamic load-bearing capacity optimization coefficient;

[0068] According to the comprehensive environmental impact coefficient, the material strength correction coefficient, and the dynamic load-bearing capacity optimization coefficient, determine the optimization target value;

[0069] According to the optimization target value, determine the comprehensive performance index for characterizing the performance evaluation index of the corrugated box to verify the optimization result;

[0070] Establish a dynamic feedback correction system according to the time decay mechanism, and determine the correction parameters of the comprehensive performance index;

[0071] According to the correction coefficient, optimize the comprehensive environmental impact coefficient, the material strength correction coefficient, and the dynamic load-bearing capacity optimization coefficient, and adaptively adjust the design parameters of the corrugated box to obtain the design optimization result.

[0072] Please refer to Figure 2 , which provides a flowchart of an optimization method for corrugated box design based on model data of the present invention, including the following steps:

[0073] Step S201, construct an environmental impact coefficient model including the temperature, humidity, and vibration parameters of the environment where the corrugated box is located, and calculate the comprehensive environmental impact coefficient.

[0074] In some embodiments, step S201 may include:

[0075] Obtain the current environmental temperature, environmental humidity, and transportation vibration frequency of the environment where the corrugated box is located;

[0076] Obtain the standard ambient temperature, standard ambient humidity, and standard transportation vibration frequency of the environment where the corrugated cardboard box is located;

[0077] Based on the standard ambient temperature, standard ambient humidity, and standard transportation vibration frequency, process the current ambient temperature, ambient humidity, and transportation vibration frequency of the environment where the corrugated cardboard box is located to obtain the environmental comprehensive influence coefficient.

[0078] In some embodiments, the environmental comprehensive influence coefficient is expressed as:

[0079]

[0080] Among them, E is the environmental comprehensive influence coefficient, T is the ambient temperature, H is the ambient humidity, V is the transportation vibration frequency, α, β, and γ are the first weight, the second weight, and the third weight respectively, and T 0 is the standard ambient temperature, H 0 is the standard ambient humidity, V 0 is the standard transportation vibration frequency.

[0081] In specific implementation, this formula is used to calculate the environmental comprehensive influence coefficient E, which comprehensively considers the influences of the ambient temperature T, ambient humidity H, and transportation vibration frequency V on the performance of the corrugated cardboard box. The formula quantifies the influences of the three environmental factors into a comprehensive index E through weighted summation for subsequent material strength correction and load-bearing capacity optimization.

[0082] E is the environmental comprehensive influence coefficient, indicating the comprehensive influence degree of environmental factors on the performance of the corrugated cardboard box. The larger the value of E, the more significant the influence of the environment on the cardboard box.

[0083] T is the ambient temperature, which is the ambient temperature where the cardboard box is located, with the unit of degree Celsius (°C) or other temperature units.

[0084] H is the ambient humidity, which is the ambient humidity where the cardboard box is located, usually expressed as relative humidity (%).

[0085] V is the transportation vibration frequency, which is the vibration frequency that the cardboard box receives during transportation, with the unit of Hertz (Hz) or other frequency units.

[0086] T 0 、H 0 、V 0 are the standard environmental parameters, which are the standard ambient temperature, standard ambient humidity, and standard transportation vibration frequency respectively. These values are reference benchmarks for standardizing the actual environmental parameters.

[0087] α, β, and γ are the weight coefficients, indicating the contribution weights of temperature, humidity, and vibration frequency to the comprehensive influence coefficient E respectively. The magnitudes of the weight coefficients can be adjusted according to specific application scenarios. For example, in a high-temperature and high-humidity environment, the values of α and β can be appropriately increased.

[0088] Temperature influence term The influence of temperature on the performance of the cardboard box is non - linear. The exponent 2.3 indicates that the influence of temperature increases significantly as the ratio of the actual temperature to the standard temperature increases. For example, when T > T 0 The influence of temperature will increase rapidly.

[0089] Humidity influence term The influence of humidity on the performance of the cardboard box is also non - linear. The exponent 1.7 indicates that the influence of humidity increases as the ratio of the actual humidity to the standard humidity increases, but the increase rate is slightly lower than that of temperature. A high - humidity environment may cause the cardboard box material to absorb moisture, reducing its strength.

[0090] Vibration frequency influence term The influence of vibration frequency on the performance of the cardboard box is relatively weak. The exponent 1.4 indicates that the influence of vibration increases slowly as the ratio of the actual vibration frequency to the standard vibration frequency increases. High - frequency vibration may cause the cardboard box structure to fatigue, affecting its load - bearing capacity.

[0091] In the formula Comparing the actual environmental parameters with the standard values eliminates the influence of dimensions, enabling different environmental factors to be weighted and summed on the same scale.

[0092] The exponents of temperature, humidity, and vibration frequency are 2.3, 1.7, and 1.4 respectively, reflecting the non - linear characteristics of the influence of different environmental factors on the performance of the cardboard box. The influence of temperature is the most significant, followed by humidity, and the influence of vibration frequency is relatively small.

[0093] α, β, and γ are used to adjust the contribution ratios of different environmental factors. For example, in a high - temperature and high - humidity environment, the values of α and β can be increased to more accurately reflect the influence of the environment on the performance of the cardboard box.

[0094] By calculating E, the influence of environmental factors on the performance of the cardboard box can be quantified, providing a basis for subsequent material strength correction and load - bearing capacity optimization. Under different environmental conditions (such as high temperature, high humidity, high - frequency vibration), calculating the value of E can evaluate the environmental adaptability of the cardboard box, helping to design more durable cardboard boxes. By analyzing the influence of vibration frequency on E, the transportation conditions (such as reducing the vibration frequency) can be optimized to extend the service life of the cardboard box.

[0095] Assume that the standard environmental parameters T 0 = 25°C, H 0 = 50%, V 0 = 10 Hz;

[0096] The actual environmental parameters are T = 35°C, H = 70%, V = 15 Hz;

[0097] The weight coefficients α, β, and γ are 0.5, 0.3, and 0.2 respectively.

[0098] The calculation is as follows:

[0099]

[0100] Comprehensive influence coefficient: E = 1.38 + 0.69 + 0.38 = 2.45.

[0101] In summary, the present invention quantifies the influences of temperature, humidity, and vibration frequency on the performance of the carton into a comprehensive index by means of weighted summation. Its design fully considers the non-linear characteristics of different environmental factors and enables flexible adjustment through the weight coefficients. This formula provides an important theoretical basis for the design optimization of corrugated cartons and can effectively overcome the limitations of traditional static design methods.

[0102] Step S202: Construct a material strength correction coefficient considering the dynamic changes of the environment according to the comprehensive environmental influence coefficient.

[0103] In some embodiments, step S202 may include:

[0104] Obtain an initial strength coefficient representing the strength reference value of the material of the corrugated carton in the standard environment;

[0105] Obtain an environmental sensitivity representing the sensitivity of the material strength of the corrugated carton to the comprehensive environmental influence coefficient;

[0106] Obtain the service life of the corrugated carton, as well as a period parameter representing the periodic characteristics of the change of the material strength of the corrugated carton over time, and a fluctuation amplitude coefficient representing the amplitude of the periodic fluctuation over time;

[0107] Obtain the actual stress borne by the material strength of the corrugated carton during actual use;

[0108] Determine the material strength correction coefficient of the corrugated carton according to the initial strength coefficient, environmental sensitivity, service life, period parameter, fluctuation amplitude coefficient, and actual stress corresponding to the corrugated carton, in combination with the comprehensive environmental influence coefficient.

[0109] In some embodiments, the material strength correction coefficient is expressed as:

[0110]

[0111] where M is the material strength correction coefficient, K 1 is the initial strength coefficient, λ is the environmental sensitivity, t is the service life, τ is the period parameter, σ is the actual stress, σ 0 is the standard stress, and n is the non-linear index.

[0112] In specific implementations, this formula is used to calculate the material strength correction factor M, which comprehensively considers the effects of environmental factors, time periodicity, and stress state on the strength of corrugated box materials. The M value is used to correct the initial strength of the material to reflect the strength changes under actual usage conditions.

[0113] M is the material strength correction factor, indicating the strength changes of the material under actual environmental and usage conditions. The smaller the M value, the more severe the attenuation of the material strength.

[0114] L 1 is the initial strength coefficient, representing the initial strength of the material in the standard environment and serving as a reference value.

[0115] λ is the environmental sensitivity, indicating the sensitivity of the material strength to the comprehensive environmental impact coefficient E. The larger the λ value, the more significant the influence of the environment on the material strength.

[0116] E is the comprehensive environmental impact coefficient, calculated from the formula in the previous text, reflecting the comprehensive impact of environmental factors (temperature, humidity, vibration frequency) on the material.

[0117] t is the usage duration, representing the usage duration of the material, with the unit of hours, days, or other time units.

[0118] τ is the period parameter, indicating the periodic characteristics of the material strength change over time, such as the influence of seasonal changes or diurnal temperature differences.

[0119] ω is the fluctuation amplitude coefficient, indicating the amplitude of the periodic fluctuation of the material strength over time. The larger the ω value, the more obvious the fluctuation.

[0120] σ is the actual stress, representing the stress magnitude borne by the material during actual usage. σ 0 is the standard stress, representing the stress value of the material under standard test conditions and serving as a reference benchmark.

[0121] n is the nonlinear exponent, indicating the nonlinear degree of the influence of stress on the material strength. The larger the n value, the more significant the influence of stress on the strength.

[0122] The initial strength term K 1 represents the initial strength of the material in the standard environment and is the reference value of the material strength.

[0123] The environmental impact attenuation term e -λE , indicating the attenuation effect of environmental factors on the material strength. The larger the E value (the harsher the environment), the more significant the attenuation; the larger the λ value, the more sensitive the material to the environment.

[0124] The time periodic fluctuation term indicates the periodic fluctuation of the material strength over time. The sin function introduces the periodic change, τ controls the period length, and ω controls the fluctuation amplitude.

[0125] Stress influence correction term Indicates the influence of the actual stress on the material strength. It is the ratio of the actual stress to the standard stress, and n controls the nonlinear degree of the stress influence.

[0126] Through the exponential function e -λE Describes the attenuation effect of environmental factors on the material strength, reflecting the nonlinear influence of the environment on the material strength. Through the sine function Describes the periodic characteristics of the material strength changing with time, such as the influence of day-night temperature difference or seasonal variation on the material strength. Through the power function Describes the nonlinear influence of the actual stress on the material strength, reflecting the cumulative effect of the stress on the material strength. The formula combines the initial strength K 1 with environmental influence, time periodicity and stress state, comprehensively reflecting the change law of the material strength under actual use conditions.

[0127] By calculating M, the strength change of the material under actual environment and use conditions can be evaluated, providing a basis for carton design. By analyzing the change trend of M with time t, the service life of the material can be predicted. By adjusting the actual stress σ, the use conditions of the material can be optimized to extend its service life.

[0128] Example calculation, assume:[[]]

[0129] Initial strength coefficient K 1 = 1.0;

[0130] Environmental sensitivity λ = 0.2;

[0131] Comprehensive environmental influence coefficient E = 2.45;

[0132] Fluctuation amplitude coefficient ω = 0.1;

[0133] Service time t = 30 days;

[0134] Period parameter τ = 60 days;

[0135] Actual stress σ = 50 MPa;

[0136] Standard stress σ 0 = 40 MPa;

[0137] Nonlinear exponent n = 1.5.

[0138] Then the material strength correction coefficient can be calculated as: M = 1.0·0.613·1.1·1.397 ≈ 0.941.

[0139] In summary, by comprehensively considering environmental factors, time periodicity, and stress states, the present invention fully reflects the variation law of the material strength of corrugated cardboard boxes under actual usage conditions. Its design fully takes into account the non-linear characteristics of different factors and enables flexible adjustment through parameters. This formula provides an important theoretical basis for material strength evaluation and carton design optimization.

[0140] Step S203: Calculate the dynamic load-bearing capacity optimization coefficient according to the material properties and box body geometric parameters of the corrugated cardboard box.

[0141] In some embodiments, step S203 may include:

[0142] Obtain the reference load-bearing value, the corrugated structure coefficient of each layer, the corrugation angle, the box height, the box width, and the geometric correction index of the corrugated cardboard box;

[0143] Determine the corrugated structure enhancement value of the corrugated cardboard box according to the reference load-bearing value, the corrugated structure coefficient of each layer, and the corrugation angle;

[0144] Determine the geometric ratio correction value of the influence of the ratio of the box height to the box width on the load-bearing capacity of the corrugated cardboard box according to the box height, the box width, and the geometric correction index of the corrugated cardboard box;

[0145] Obtain the structural compensation value of other structures except the corrugated structure in the corrugated cardboard box for compensating the load-bearing capacity;

[0146] Calculate the dynamic load-bearing capacity optimization coefficient according to the corrugated structure enhancement value, the geometric ratio correction value, and the structural compensation value of the corrugated cardboard box.

[0147] In some embodiments, the dynamic load-bearing capacity optimization coefficient can be expressed as:

[0148]

[0149] where P is the dynamic load-bearing capacity optimization coefficient, R 0 is the reference load-bearing value, δ i is the corrugated structure coefficient of each layer, θ i is the corrugation angle, h is the box height, w is the box width, m is the geometric correction index, and F(x) is the structural compensation function.

[0150] In specific implementation, this formula is used to calculate the dynamic load-bearing capacity optimization coefficient P, comprehensively considering the influence of material strength, corrugated structure, box body geometric dimensions, and structural compensation on the load-bearing capacity of the carton. The P value is used to evaluate the load-bearing capacity of the carton under actual usage conditions and provides a basis for design optimization.

[0151] P is the dynamic load - bearing capacity optimization coefficient, representing the load - bearing capacity of the carton under actual use conditions. The larger the P value, the stronger the load - bearing capacity of the carton. M is the material strength correction coefficient, calculated by the formula in the previous text, reflecting the strength change of the material under actual environment and use conditions. R 0 is the reference load - bearing value, representing the load - bearing capacity of the carton under standard conditions, which is a reference benchmark. δ i is the corrugated structure coefficient of each layer, representing the contribution of the corrugated structure characteristics of each layer of the carton to the load - bearing capacity. Different layers of corrugations may have different structure coefficients. θ i is the corrugation angle, representing the angle of each layer of corrugations in the carton, which affects the structural strength and stability of the corrugations. h is the box height, that is, the height of the carton, with the unit of centimeter (cm) or other length units. w is the box width, that is, the width of the carton, with the unit of centimeter (cm) or other length units. m is the geometric correction index, representing the non - linear influence of the ratio of the box height to the width on the load - bearing capacity. F(x) is the structural compensation function, representing the compensation effect of other structural characteristics of the carton (such as reinforcing ribs, seam design, etc.) on the load - bearing capacity.

[0152] Specifically, the material strength correction term M reflects the strength change of the material under actual environment and use conditions, and directly affects the load - bearing capacity of the carton.

[0153] The corrugated structure enhancement term R 0 +∑(δ i ·cosθ i) , R 0 is the reference load - bearing value, representing the load - bearing capacity of the carton under standard conditions. ∑(δ i ·cosθ i ) represents the enhancement effect of the corrugated structure of each layer on the load - bearing capacity. δ i ·cosθ i reflects the contribution of the corrugation angle to the structural strength.

[0154] The geometric ratio correction term represents the influence of the ratio of the box height to the width on the load - bearing capacity. m controls the non - linear degree of the geometric ratio influence.

[0155] The structural compensation term F(x) represents the compensation effect of other structural characteristics of the carton on the load - bearing capacity. F(x) can be a linear or non - linear function, and its specific form is determined according to the design characteristics of the carton.

[0156] The change of material strength is introduced into the load - bearing capacity calculation through M, ensuring that the formula can reflect the influence of the actual environment and use conditions on the performance of the carton. Through R 0 +∑(δ i ·cosθ i ) comprehensively considers the structural characteristics of each layer of corrugations, reflecting the contribution of the corrugation angle to the load - bearing capacity. Through Reflect the non-linear influence of the ratio of the height to the width of the box body on the bearing capacity, and ensure that the formula is applicable to cartons of different sizes. F(x) introduces the influence of other structural features, enabling the formula to more comprehensively reflect the bearing capacity of the carton.

[0157] By calculating P, the influence of different design parameters (such as corrugated structure, box body size) on the bearing capacity of the carton can be evaluated, providing a basis for design optimization. By analyzing the change trend of P, the bearing capacity of the carton under actual use conditions can be evaluated to ensure that it meets the transportation and storage requirements. By adjusting the corrugated structure coefficient δ i and the angle θ i , the structural design of the carton can be optimized to improve its bearing capacity.

[0158] Example calculation, assuming:

[0159] Material strength correction coefficient: M = 0.941;

[0160] Benchmark bearing value: R 0 = 1000N;

[0161] Corrugated structure coefficient: δ 1 、δ 2 、δ 3 Are 50, 60 and 40 respectively.

[0162] Corrugated angle: θ 1 、θ 2 、θ 3 Are 30°, 45° and 60° respectively;

[0163] Box height: h = 6cm;

[0164] Box width: w = 40cm;

[0165] Geometric correction index: m = 1.2;

[0166] Structural compensation function: F(x) = 1.1;

[0167] Dynamic bearing capacity optimization coefficient: P = 0.941×1105.72×1.718×1.1 = 1967.5N.

[0168] In summary, the present invention comprehensively considers material strength, corrugated structure, box body geometry and structural compensation, and comprehensively reflects the influencing factors of the bearing capacity of the carton. Its design fully considers the non-linear characteristics of different factors and realizes flexible adjustment through parameters. This formula provides an important theoretical basis for carton design optimization and bearing capacity evaluation.

[0169] Step S204: Determine the optimization target value according to the comprehensive environmental impact coefficient, the material strength correction coefficient, and the dynamic load-carrying capacity optimization coefficient.

[0170] In some embodiments, step S204 may include:

[0171] Integrate the comprehensive environmental impact coefficient, the material strength correction coefficient, and the dynamic load-carrying capacity optimization coefficient according to the service life of the corrugated cardboard box to determine the time integral term;

[0172] Obtain the spatial distribution term representing the performance difference of the corrugated cardboard box in spatial distribution;

[0173] Determine the optimization target value according to the time integral term and the spatial distribution term.

[0174] In some embodiments, the optimization target value can be expressed as:

[0175]

[0176] where Z is the optimization target value, ξ is the time weight coefficient, and Ψ(x, y) is the spatial distribution function.

[0177] In specific implementation, this formula is used to calculate the optimization target value Z, comprehensively considering the load-carrying capacity, environmental impact, material strength change rate, and the impact of spatial distribution on the performance of the cardboard box. The Z value is used to evaluate the comprehensive performance of the cardboard box design and provide an objective function for the optimization design.

[0178] Z is the optimization target value, representing the comprehensive performance index of the cardboard box design. The smaller the Z value, the better the design.

[0179] P is the optimization load-carrying coefficient, calculated by the previous formula, reflecting the load-carrying capacity of the cardboard box under actual use conditions.

[0180] E is the comprehensive environmental impact coefficient, calculated by the previous formula, reflecting the comprehensive impact of environmental factors (temperature, humidity, vibration frequency) on the performance of the cardboard box.

[0181] M is the material strength correction coefficient, calculated by the previous formula, reflecting the strength change of the material under actual environmental and use conditions.

[0182] ξ is the time weight coefficient, representing the contribution weight of the environmental change rate to the optimization target value. The larger the ξ value, the more significant the impact of the environmental change rate on the design optimization.

[0183] is the change rate of the comprehensive environmental impact coefficient, representing the change rate of the comprehensive environmental impact coefficient E over time, reflecting the impact of environmental dynamic changes on the performance of the cardboard box.

[0184] Ψ(x, y) is a spatial distribution function, representing the performance differences in the spatial distribution of the carton, such as stress distribution or temperature distribution at different positions.

[0185] Time integral term This part comprehensively considers the contributions of load-bearing capacity, environmental impact, material strength, and environmental change rate to the optimization target value.

[0186] P·E·M represents the combined effect of load-bearing capacity, environmental impact, and material strength. Represents the dynamic impact of the environmental change rate on the optimization target value.

[0187] Spatial distribution term Ψ(x, y), which represents the performance differences in the spatial distribution of the carton, such as stress distribution or temperature distribution at different positions.

[0188] The time integral term incorporates the changes in load-bearing capacity, environmental impact, material strength, and environmental change rate over time into the calculation of the optimization target value through integral operations, ensuring that the formula can reflect the performance of the carton in a dynamic environment.

[0189] The impact of the environmental change rate, through Introducing the impact of the environmental change rate reflects the immediate impact of environmental dynamic changes on the performance of the carton.

[0190] The spatial distribution term introduces the influence of spatial distribution through Ψ(x, y), ensuring that the formula can reflect the performance differences of the carton at different positions.

[0191] By calculating Z, the influence of different design parameters on the comprehensive performance of the carton can be evaluated, providing an objective function for design optimization. By analyzing the change trend of Z over time, the adaptability of the carton in a dynamic environment can be evaluated. By adjusting the parameters of Ψ(x, y), the performance differences in the spatial distribution of the carton can be optimized.

[0192] Example calculation, assuming:

[0193] Optimized load-bearing coefficient: P = 1967.5 N;

[0194] Comprehensive environmental impact coefficient E = 2.45;

[0195] Material strength correction coefficient: M = 0.941;

[0196] Time weight coefficient: ξ = 0.1;

[0197] Environmental change rate:

[0198] Spatial distribution function: Ψ(x, y) = 50.

[0199] Optimization target value:

[0200] Z=4535.6×10+0.005×10+50=45356+0.05+50=45406.05.

[0201] In summary, the present invention comprehensively reflects the comprehensive performance of carton design by comprehensively considering the load-bearing capacity, environmental impact, material strength change rate and spatial distribution. Its design fully considers the impact of dynamic environment and spatial distribution, and realizes flexible adjustment through parameters ξ and Ψ(x, y). This formula provides an important theoretical basis for carton design optimization.

[0202] Step S205: According to the optimization target value, determine the comprehensive performance index that characterizes the performance evaluation index of the corrugated box and verifies the optimization result.

[0203] In some embodiments, step S205 may include:

[0204] Obtain a benchmark optimization value corresponding to the optimization target value;

[0205] Obtaining a convergence coefficient representing the convergence speed of the optimization target value over time;

[0206] Obtain various error factors that represent the impact of various errors on comprehensive performance indicators during the optimization process;

[0207] The comprehensive performance index is determined based on the optimization target value, benchmark optimization value, convergence coefficient and various error factors.

[0208] In some embodiments, the comprehensive performance index can be expressed as:

[0209]

[0210] Among them, Q is the comprehensive performance index, Z 0 is the benchmark optimization value, κ is the convergence coefficient, ∈ i are various error factors.

[0211] In the specific implementation, the formula is used to calculate the comprehensive performance index Q, which comprehensively considers the optimization target value, time convergence and the impact of various errors on the carton performance. The Q value is used to evaluate the comprehensive performance of the carton design and provide a basis for the verification of the optimization results.

[0212] Q is a comprehensive performance index, which indicates the comprehensive performance evaluation result of carton design. The smaller the Q value, the better the design performance.

[0213] Z is the optimization target value, calculated by the previous formula, which reflects the comprehensive performance of the carton design.

[0214] Z 0 It is the benchmark optimization value, which represents the optimization target value of the carton under standard conditions and is a reference benchmark.

[0215] κ is the convergence coefficient, representing the speed at which the optimization objective value converges over time. The larger the value of k, the faster the convergence.

[0216] t is the time, representing the time of the optimization process, with the unit of hour (h) or other time units.

[0217] ∈ i is the error factor for each item, representing the impact of each error in the optimization process on the comprehensive performance index. ∈ i The value can be positive or negative, representing the positive or negative impact of the error respectively.

[0218] Proportional term of the optimization objective value represents the ratio of the current optimization objective value Z to the benchmark optimization value Z 0 and reflects the relative quality of the design performance.

[0219] Time convergence term: 1 - e -kt , representing the characteristic of the optimization objective value converging over time. e -kt is an exponential decay function, reflecting the convergence speed of the optimization process.

[0220] Error product term: ∏(1 + ∈ i ), representing the cumulative impact of each error on the comprehensive performance index. ∈ i is the error factor for each item, which can be positive or negative.

[0221] The proportional term of the optimization objective value compares the current optimization objective value with the benchmark value, reflecting the relative quality of the design performance.

[0222] The time convergence term is described by 1 - e -kt to represent the characteristic of the optimization objective value converging over time and ensure that the formula can reflect the dynamic changes of the optimization process.

[0223] The error product term comprehensively considers the impact of each error on the comprehensive performance index through ∏(1 + ∈ i ) to ensure that the formula can reflect the reliability of the optimization result.

[0224] By calculating Q, it can be verified whether the optimization result meets the design requirements and provide a basis for subsequent adjustments. By analyzing the change trend of Q, the comprehensive performance of the carton design can be evaluated to ensure that it meets the actual use requirements. By adjusting the value of ∈ i , the impact of each error on the comprehensive performance index can be analyzed to optimize the design process.

[0225] Hypothesis:

[0226] Optimization objective value: Z = 45406.05;

[0227] Benchmark optimization value: Z 0 = 50000;

[0228] Convergence coefficient: k = 0.1h -1 ;

[0229] Time: t = 10h;

[0230] Error factor: ∈ 1 = 0.05, ∈ 2 = -0.02, ∈ 3 = 0.01;

[0231] Comprehensive performance index:

[0232] Q = 0.9081 × 0.6321 × 1.039 = 0.596.

[0233] In summary, the present invention comprehensively considers the optimization target value, time convergence, and various errors, and comprehensively reflects the comprehensive performance of the carton design. Its design fully considers the dynamic characteristics and error effects of the optimization process, and realizes flexible adjustment through the parameters κ and ∈ i This provides an important theoretical basis for verifying the optimization results and evaluating the performance.

[0234] Step S206, establish a dynamic feedback correction system according to the time decay mechanism, and determine the correction parameters of the comprehensive performance index.

[0235] In some embodiments, step S206 may include:

[0236] Obtain the time decay coefficient representing the influence degree of time on the correction coefficient;

[0237] Obtain the state parameter representing the real-time state of the system;

[0238] Obtain the weight coefficient representing the contribution degree of each state parameter to the correction coefficient;

[0239] Determine the correction parameters according to the time decay coefficient, weight coefficient, and state parameter.

[0240] In some embodiments, the correction coefficient can be expressed as:

[0241]

[0242] where C is the correction coefficient, is the time decay coefficient, ρ i is the weight coefficient, S i is the state parameter.

[0243] In specific implementation, the C value can feedback multiple parameters that affect the aforementioned optimization process, such as affecting the material strength correction factor M, adjusting the dynamic bearing capacity optimization factor P, and correcting the comprehensive optimization function Z. The C value can also be used to adaptively adjust each parameter, for example:

[0244] When C>1, it indicates that the design strength needs to be improved;

[0245] When C<1, it indicates that the material usage can be appropriately reduced.

[0246] This mechanism enables adaptive optimization of design parameters to avoid over-design or insufficient strength.

[0247] This formula is used to calculate the feedback correction coefficient C, which takes into account the comprehensive performance indicators, time decay effect and system state dynamic adjustment requirements for design parameters. The C value is used to feedback multiple parameters in the optimization process to achieve adaptive optimization of design parameters.

[0248] C is the feedback correction coefficient, which indicates the degree to which the design parameters need to be adjusted. C>1 means that the design strength needs to be improved, and C<1 means that the material usage can be appropriately reduced.

[0249] Q is a comprehensive performance index, calculated by the previous formula, which reflects the comprehensive performance of the carton design.

[0250] is the time attenuation coefficient, which indicates the influence of time on the correction coefficient. The larger the value, the more significant the time decay effect.

[0251] t is the current time, which indicates the time of the optimization process, in hours (h) or other time units.

[0252] t 0 It is the reference time, which represents the reference benchmark of time decay and is usually a fixed value.

[0253] ρ i is the weight coefficient, indicating the state parameters S i Contribution weight to the correction factor.

[0254] S i It is a state parameter that indicates the real-time state of the system, such as ambient temperature, humidity, vibration frequency, etc.

[0255] The comprehensive performance index item Q represents the comprehensive performance of the current design and is the basis of the correction coefficient.

[0256] Time decay term Indicates the effect of time on the correction factor. is a logarithmic function that reflects the time decay effect.

[0257] The weighted term of state parameters ∑(ρ i ·S i ) represents the comprehensive influence of each state parameter on the correction coefficient. ρ i is the weight coefficient, and S i is the state parameter.

[0258] The comprehensive performance index is introduced into the calculation of the correction coefficient through Q to ensure that the correction coefficient can reflect the actual performance of the design. By describing the influence of time on the correction coefficient, the dynamic changes in the optimization process are reflected. By ∑(ρ i ·S i ), the influence of each state parameter is comprehensively considered to ensure that the correction coefficient can reflect the real-time state of the system.

[0259] The correction coefficient M of material strength, the optimization coefficient P of dynamic bearing capacity, and the comprehensive optimization function Z are adjusted by the feedback of the C value to achieve the adaptive optimization of design parameters.

[0260] When C > 1, the design strength is increased; when C < 1, the material consumption is appropriately reduced to avoid over-design or insufficient strength.

[0261] By S i monitoring the system state in real time and dynamically adjusting the design parameters to ensure that the performance of the carton meets the actual usage requirements.

[0262] Example calculation, assume:

[0263] Comprehensive performance index: Q = 0.596;

[0264] Time decay coefficient:

[0265] Current time: t = 10h;

[0266] Reference time: t 0 = 5h;

[0267] State parameter: S 1 = 1.2, S 2 = 0.8, S 3 = 1.0;

[0268] Weight coefficient: ρ 1 = 0.4, ρ 2 = 0.3, ρ 3 = 0.3;

[0269] Feedback correction coefficient:

[0270] C = 0.596 × 1.1386 × 1.02 = 0.691.

[0271] In summary, by comprehensively considering comprehensive performance indicators, time decay effects, and system states, the present invention realizes the adaptive optimization of design parameters. Its design fully considers the dynamic characteristics of the optimization process and the influence of real-time states, and through parameters ρ i and S i flexible adjustment is achieved. This formula provides an important theoretical basis for the adaptive optimization of design parameters.

[0272] Step S207: Optimize the comprehensive environmental impact coefficient, material strength correction coefficient, and dynamic load-bearing capacity optimization coefficient according to the correction coefficient, and adaptively adjust the design parameters of the corrugated box to obtain the design optimization result.

[0273] Specifically, the value of C will feedback and affect multiple parameters in the aforementioned optimization process. For example, it affects the material strength correction coefficient M, and after correction, M' = M·C. For example, adjust and optimize the load-bearing coefficient P, and after correction, P' = P / C, and correct the comprehensive optimization function Z, and after correction, Z' = Z·(1 ± lnC).

[0274] In some embodiments, when C > 1, it indicates that the current design strength is insufficient, and it is necessary to increase the material strength correction coefficient M, adjust the dynamic load-bearing capacity optimization coefficient P, and correct the comprehensive optimization function Z. When C < 1, it indicates that the current design strength is too high, and the material usage can be appropriately reduced to optimize the design cost.

[0275] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of a corrugated box design optimization system based on model data provided by the present invention.

[0276] As Figure 3 shown, a corrugated box design optimization system based on model data proposed in an embodiment of the present invention includes:

[0277] An environmental coefficient module 301, configured to construct an environmental impact coefficient model including temperature, humidity, and vibration parameters of the environment where the corrugated box is located, and calculate the comprehensive environmental impact coefficient;

[0278] A material coefficient module 302, configured to construct a material strength correction coefficient considering environmental dynamic changes according to the comprehensive environmental impact coefficient;

[0279] A load-bearing coefficient module 303, configured to calculate a dynamic load-bearing capacity optimization coefficient according to the material characteristics and box geometry parameters of the corrugated box;

[0280] An optimization value module 304, configured to determine an optimization target value according to the comprehensive environmental impact coefficient, the material strength correction coefficient, and the dynamic load-bearing capacity optimization coefficient;

[0281] An optimization verification module 305, configured to determine a comprehensive performance index characterizing the verification optimization result of the performance evaluation index of the corrugated cardboard box according to the optimization target value;

[0282] A feedback correction module 306, configured to establish a dynamic feedback correction system according to a time decay mechanism and determine a correction parameter of the comprehensive performance index;

[0283] A design optimization module 307, configured to optimize the environmental comprehensive impact coefficient, the material strength correction coefficient, and the dynamic load-bearing capacity optimization coefficient according to the correction coefficient, and adaptively adjust the design parameters of the corrugated cardboard box to obtain a design optimization result.

[0284] Please refer to Figure 4 , Figure 4 which is a schematic diagram of an embodiment of an electronic device provided by an embodiment of the present invention. As Figure 4 shown, an embodiment of the present invention provides an electronic device 400, including a memory 410, a processor 420, and a computer program 411 stored on the memory 410 and executable on the processor 420. When the processor 420 executes the computer program 411, the following steps are implemented:

[0285] Construct an environmental impact coefficient model including the temperature, humidity, and vibration parameters of the environment where the corrugated cardboard box is located, and calculate the environmental comprehensive impact coefficient;

[0286] According to the environmental comprehensive impact coefficient, construct a material strength correction coefficient considering the dynamic change of the environment;

[0287] According to the material characteristics and box geometry parameters of the corrugated cardboard box, calculate the dynamic load-bearing capacity optimization coefficient;

[0288] According to the environmental comprehensive impact coefficient, the material strength correction coefficient, and the dynamic load-bearing capacity optimization coefficient, determine the optimization target value;

[0289] According to the optimization target value, determine a comprehensive performance index characterizing the verification optimization result of the performance evaluation index of the corrugated cardboard box;

[0290] Establish a dynamic feedback correction system according to the time decay mechanism and determine the correction parameter of the comprehensive performance index;

[0291] According to the correction coefficient, optimize the environmental comprehensive impact coefficient, the material strength correction coefficient, and the dynamic load-bearing capacity optimization coefficient, and adaptively adjust the design parameters of the corrugated cardboard box to obtain a design optimization result.

[0292] It should be noted that in the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

Claims

1. A corrugated box design optimization method based on model data, characterized in that: The method comprises: Construct an environmental impact coefficient model including the temperature, humidity and vibration parameters of the environment where the corrugated box is located, and calculate the comprehensive environmental impact coefficient; According to the comprehensive environmental impact coefficient, a material strength correction coefficient that takes into account dynamic changes in the environment is constructed; Calculating the dynamic load-bearing capacity optimization coefficient according to the material properties and box geometry parameters of the corrugated box; Determining an optimization target value according to the comprehensive environmental impact coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient; According to the optimization target value, determining a comprehensive performance index characterizing the performance evaluation index of the corrugated paper box to verify the optimization result; Establishing a dynamic feedback correction system according to the time decay mechanism to determine the correction parameters of the comprehensive performance index; The comprehensive environmental impact coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient are optimized according to the correction coefficient, and the design parameters of the corrugated box are adaptively adjusted to obtain a design optimization result.

2. The method for optimizing the design of corrugated paperboard based on model data according to claim 1, characterized in that: The calculation environment comprehensive impact coefficient includes: Obtaining the current ambient temperature, ambient humidity and transport vibration frequency of the environment where the corrugated paper box is located; Obtaining the standard ambient temperature, standard ambient humidity and standard transport vibration frequency of the environment where the corrugated paper box is located; According to the standard ambient temperature, the standard ambient humidity and the standard transport vibration frequency, the current ambient temperature, ambient humidity and transport vibration frequency of the environment where the corrugated paper box is located are processed to obtain the comprehensive environmental impact coefficient.

3. The method for optimizing the design of corrugated paperboard based on model data according to claim 2, characterized in that: The material strength correction coefficient considering the dynamic change of the environment is constructed according to the comprehensive environmental impact coefficient, including: Obtaining an initial strength coefficient representing a strength reference value of the material of the corrugated paper box under a standard environment; Obtaining environmental sensitivity indicating the sensitivity of the material strength of the corrugated paper box to the comprehensive environmental impact coefficient; Obtaining the usage time of the corrugated paper box, as well as the periodic parameters representing the periodic characteristics of the material strength of the corrugated paper box changing with time, and the fluctuation amplitude coefficient of the periodic fluctuation amplitude with time; Obtaining the actual stress borne by the material strength of the corrugated paper box in actual use; The material strength correction coefficient of the corrugated paper box is determined according to the initial strength coefficient, environmental sensitivity, usage time, cycle parameters, fluctuation amplitude coefficient and actual stress corresponding to the corrugated paper box, combined with the comprehensive environmental impact coefficient.

4. The method for optimizing the design of corrugated paperboard based on model data according to claim 3, characterized in that: The step of calculating the dynamic load-bearing capacity optimization coefficient according to the material properties and box body geometric parameters of the corrugated box comprises: Obtaining the reference load value, corrugation structural coefficient of each layer, corrugation angle, box height, box width and geometric correction index of the corrugated box; Determining the corrugated structure reinforcement value of the corrugated paper box according to the reference load value, the corrugated structure coefficient of each layer and the corrugated angle; Determine the geometric ratio correction value of the effect of the ratio of the height to the width of the corrugated paper box on the load-bearing capacity according to the box height, box width and geometric correction index of the corrugated paper box; Obtaining structural compensation values ​​for load-bearing capacity compensation of other structures in the corrugated paper box except the corrugated structure; The dynamic bearing capacity optimization coefficient is calculated according to the corrugated structure reinforcement value, geometric proportion correction value and structural compensation value of the corrugated paper box.

5. The method for designing and optimizing corrugated paperboard based on model data according to claim 4, characterized in that: The step of determining the optimization target value according to the comprehensive environmental impact coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient comprises: According to the usage time of the corrugated paper box, the comprehensive environmental impact coefficient, the material strength correction coefficient and the dynamic load-bearing capacity optimization coefficient are integrated to determine a time integral term; Obtaining a spatial distribution item representing a performance difference of the corrugated paper box in spatial distribution; The optimization target value is determined according to the time integral term and the spatial distribution term.

6. The method for designing and optimizing corrugated paperboard based on model data according to claim 5, characterized in that: The method of determining, according to the optimization target value, a comprehensive performance index characterizing the performance evaluation index of the corrugated paper box and verifying the optimization result includes: Obtaining a benchmark optimization value corresponding to the optimization target value; Obtaining a convergence coefficient representing a convergence speed of the optimization target value over time; Obtaining various error factors representing the impact of various errors in the optimization process on the comprehensive performance index; The comprehensive performance index is determined according to the optimization target value, the benchmark optimization value, the convergence coefficient and the various error factors.

7. The method for optimizing the design of corrugated paperboard based on model data according to claim 6, characterized in that: The step of establishing a dynamic feedback correction system according to the time decay mechanism and determining the correction parameters of the comprehensive performance index comprises: Obtaining a time attenuation coefficient representing the degree of influence of time on the correction coefficient; Get the status parameters to represent the real-time status of the system; Obtaining a weight coefficient representing the contribution degree of each of the state parameters to the correction coefficient; The correction parameter is determined according to the time attenuation coefficient, the weight coefficient and the state parameter.

8. A corrugated box design optimization system based on model data, characterized in that: The system comprises: Environmental coefficient module, used to build an environmental impact coefficient model including the temperature, humidity and vibration parameters of the environment where the corrugated box is located, and calculate the comprehensive environmental impact coefficient; A material coefficient module, used to construct a material strength correction coefficient that takes into account dynamic changes in the environment according to the comprehensive environmental impact coefficient; A load coefficient module, used to calculate the dynamic load capacity optimization coefficient according to the material properties and box geometry parameters of the corrugated box; An optimization value module, used to determine an optimization target value according to the comprehensive environmental impact coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient; An optimization verification module, used to determine, according to the optimization target value, a comprehensive performance index characterizing the performance evaluation index of the corrugated paper box to verify the optimization result; A feedback correction module, used to establish a dynamic feedback correction system according to a time decay mechanism and determine correction parameters of the comprehensive performance index; The design optimization module is used to optimize the comprehensive environmental impact coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient according to the correction coefficient, and to adaptively adjust the design parameters of the corrugated box to obtain a design optimization result.

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