A corrugated box design optimization method and system based on model data

Abstract

The present application relates to the technical field of data processing, and provides a corrugated box design optimization method and system based on model data, which comprises the following steps: calculating an environmental comprehensive influence coefficient; constructing a material strength correction coefficient considering dynamic changes of the environment; calculating a dynamic bearing capacity optimization coefficient; determining an optimization target value according to the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient; determining a comprehensive performance index for verifying the optimization result of the performance evaluation index representing the corrugated box according to the optimization target value; establishing a dynamic feedback correction system according to a time decay mechanism to determine a correction parameter of the comprehensive performance index; and optimizing the environmental 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 box to obtain a design optimization result. The present application can improve the design performance of the corrugated box.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to a corrugated box design optimization method and system based on model data and an electronic device. BACKGROUND

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

[0003] However, existing design methods often overlook dynamic optimization based on actual use conditions and the comprehensive use of model data. Traditional design methods rely heavily on static empirical data and lack the adaptability and fine-tuning of box performance in different transportation environments. SUMMARY

[0004] The present application provides a corrugated box design optimization method and system based on model data that can improve the performance of corrugated box design.

[0005] The technical solution to the above technical problem is as follows:

[0006] The present application provides a corrugated box design optimization method based on model data, which comprises:

[0007] An environmental impact coefficient model is constructed, including the temperature, humidity and vibration parameters of the environment in which the corrugated box is located, and the environmental comprehensive impact coefficient is calculated;

[0008] According to the environmental comprehensive impact coefficient, a material strength correction coefficient considering dynamic changes in the environment is constructed;

[0009] According to the material properties and box geometry parameters of the corrugated box, a dynamic load capacity optimization coefficient is calculated;

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

[0011] According to the optimization target value, the comprehensive performance index of the performance evaluation index of the corrugated box is determined to verify the optimization result;

[0012] A dynamic feedback correction system is established according to the time decay mechanism to determine the correction parameters of the comprehensive performance index;

[0013] According to the correction coefficient, the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient are optimized, and the design parameters of the corrugated box are adaptively adjusted to obtain a design optimization result.

[0014] Further, the calculation of the environmental comprehensive influence coefficient includes:

[0015] The current environmental temperature, humidity and transportation vibration frequency of the environment where the corrugated box is located are obtained.

[0016] The standard environmental temperature, humidity and transportation vibration frequency of the environment where the corrugated box is located are obtained.

[0017] According to the standard environmental temperature, humidity and transportation vibration frequency, the current environmental temperature, humidity and transportation vibration frequency of the environment where the corrugated box is located are processed to obtain the environmental comprehensive influence coefficient.

[0018] Further, the material strength correction coefficient considering the dynamic change of the environment is constructed according to the environmental comprehensive influence coefficient, including:

[0019] An initial strength coefficient representing the strength reference value of the material of the corrugated box under standard environment is obtained.

[0020] An environmental sensitivity representing the sensitivity of the material strength of the corrugated box to the environmental comprehensive influence coefficient is obtained.

[0021] The service life of the corrugated box, a periodic parameter representing the periodic characteristics of the material strength of the corrugated box over time, and a fluctuation amplitude coefficient representing the periodic fluctuation amplitude over time are obtained.

[0022] The actual stress borne by the material strength of the corrugated box in actual use is obtained.

[0023] According to the initial strength coefficient, environmental sensitivity, service life, periodic parameter, fluctuation amplitude coefficient and actual stress corresponding to the corrugated box, combined with the environmental comprehensive influence coefficient, the material strength correction coefficient of the corrugated box is determined.

[0024] Further, the dynamic bearing capacity optimization coefficient is calculated according to the material properties and box geometry parameters of the corrugated box, including:

[0025] The reference 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 are obtained.

[0026] According to the reference bearing value, the corrugated structure coefficient of each layer and the corrugated angle, the corrugated structure enhancement value of the corrugated box is determined.

[0027] determine a geometric proportion correction value of a box height and a box width ratio of the corrugated box on the bearing capacity according to the box height, the box width and the geometric correction index of the corrugated box;

[0028] obtain a structure compensation value of a structure other than the corrugated structure in the corrugated box on the bearing capacity compensation;

[0029] calculate the dynamic bearing capacity optimization coefficient according to the corrugated structure reinforcement value, the geometric proportion correction value and the structure compensation value of the corrugated box.

[0030] Further, the determination of the optimization target value according to the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient comprises:

[0031] According to the use time length of the corrugated box, the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient are integrated to determine a time integral term;

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

[0033] According to the time integral term and the spatial distribution term, the optimization target value is determined.

[0034] Further, the determination of the comprehensive performance index representing the performance evaluation index of the corrugated box verifying the optimization result according to the optimization target value comprises:

[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 each error factor representing the influence of each error in the optimization process on the comprehensive performance index;

[0038] According to the optimization target value, the reference optimization value, the convergence coefficient and the error factor, the comprehensive performance index is determined.

[0039] Further, the dynamic feedback correction system is established according to the time decay mechanism, and the correction parameter of the comprehensive performance index is determined, comprising:

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

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

[0042] obtaining weight coefficients representing the contribution degrees of the state parameters to the correction coefficients;

[0043] determining the correction parameters according to the time decay coefficients, the weight coefficients and the state parameters.

[0044] The application also provides a corrugated box design optimization system based on model data, which comprises:

[0045] An environment coefficient module is configured to construct an environment influence coefficient model comprising temperature, humidity and vibration parameters of an environment where the corrugated box is located, and calculate an environment comprehensive influence coefficient.

[0046] A material coefficient module is configured to construct a material strength correction coefficient considering dynamic changes of the environment according to the environment comprehensive influence coefficient.

[0047] A bearing coefficient module is configured to calculate a dynamic bearing capacity optimization coefficient according to material properties and box geometry parameters of the corrugated box.

[0048] An optimization value module is configured to determine an optimization target value according to the environment comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient.

[0049] An optimization verification module is configured to determine a comprehensive performance index representing a performance evaluation index of the corrugated box to verify the optimization result according to the optimization target value.

[0050] A feedback correction module is 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 is configured to optimize the environment comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient according to the correction coefficient, and adaptively adjust design parameters of the corrugated box to obtain a design optimization result.

[0052] The application has the following advantages:

[0053] (1) The application adjusts the design in real time through a dynamic environment parameter model (such as temperature, humidity and vibration, etc.), overcomes the limitation of traditional design methods which only rely on static standards, and enables the design of the corrugated box to be optimized according to changes in the actual transportation and storage environment, ensuring the reliability and stability of the corrugated box under different environmental conditions.

[0054] (2) The application improves the material usage efficiency by constructing a corrugated box material property response function and correcting the material strength according to environmental factors. Under the premise of ensuring the bearing capacity, the material strength is optimized, which can reduce the material cost without affecting the actual performance of the corrugated box, and improves the production efficiency.

[0055] (3) The application adopts a dynamic bearing capacity calculation method, optimizes the bearing coefficient according to multiple factors (such as box height, box width, corrugated angle, etc.), so as to ensure that the paper box can bear more load and will not be damaged or fail during transportation. This optimization not only improves the safety of the paper box, but also avoids damage to the goods due to insufficient bearing capacity of the paper box.

[0056] In summary, the application can not only improve the performance of the paper box, but also improve the production efficiency, reduce the cost, and promote environmental protection and sustainable development. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 A scenario diagram of a corrugated paper box design optimization method based on model data provided by the application;

[0058] Figure 2 A flowchart of a corrugated paper box design optimization method based on model data provided by the application;

[0059] Figure 3 A structural schematic diagram of a corrugated paper box design optimization system based on model data provided by the application;

[0060] Figure 4 A hardware structure schematic diagram of a possible electronic device provided by the application. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the application.

[0062] Please refer to Figure 1 , Figure 1 A scenario diagram of a corrugated paper box design optimization method based on model data provided by the application. As shown in Figure 1 , the terminal and the server are connected through a network, such as a wired or wireless network connection, etc. The terminal can include but is not limited to a mobile phone, a tablet computer, and other portable terminals installed with various network platform applications, as well as computers, inquiry machines, and advertising machines, etc. fixed terminal. The server provides various service services for users, including service push server, user recommendation server, etc.

[0063] It should be noted that Figure 1The scenario diagram of one of the corrugated box design optimization methods based on model data shown is only an example, the terminal, server and application scenario described in the embodiments of the present application are used to more clearly illustrate the technical solutions of the embodiments of the present application, and do not generate limitations on the technical solutions provided by the embodiments of the present application, and those skilled in the art can know that with the evolution of the system and the appearance of new business scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0064] The terminal can be used for:

[0065] An environment influence coefficient model including temperature, humidity and vibration parameters of an environment where the corrugated box is located is constructed, and an environment comprehensive influence coefficient is calculated.

[0066] According to the environment comprehensive influence coefficient, a material strength correction coefficient considering dynamic changes of the environment is constructed.

[0067] According to the material properties and the box geometry parameters of the corrugated box, a dynamic carrying capacity optimization coefficient is calculated.

[0068] According to the environment comprehensive influence coefficient, the material strength correction coefficient and the dynamic carrying capacity optimization coefficient, an optimization target value is determined.

[0069] According to the optimization target value, a comprehensive performance index representing a performance evaluation index of the corrugated box is determined to verify the optimization result.

[0070] According to the time decay mechanism, a dynamic feedback correction system is established to determine a correction parameter of the comprehensive performance index.

[0071] According to the correction coefficient, the environment comprehensive influence coefficient, the material strength correction coefficient and the dynamic carrying capacity optimization coefficient are optimized, and the design parameters of the corrugated box are adaptively adjusted to obtain a design optimization result.

[0072] Please refer to Figure 2 , a flowchart of a corrugated box design optimization method based on model data is provided, including the following steps:

[0073] Step S201, an environment influence coefficient model including temperature, humidity and vibration parameters of an environment where the corrugated box is located is constructed, and an environment comprehensive influence coefficient is calculated.

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

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

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

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

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

[0079]

[0080] where 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, γ are the first weight, the second weight, and the third weight respectively, T0 is the standard ambient temperature, H0 is the standard ambient humidity, and V0 is the standard transportation vibration frequency.

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

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

[0083] T is the ambient temperature, which is the temperature of the environment where the box is located, with the unit of Celsius (℃) or other temperature units.

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

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

[0086] T0, H0, V0 are standard environmental parameters, which are the standard ambient temperature, the standard ambient humidity, and the standard transportation vibration frequency respectively. These values are reference benchmarks for standardizing the actual environmental parameters.

[0087] α, β, γ are weight coefficients, which represent the contribution weight of temperature, humidity, and vibration frequency to the comprehensive influence coefficient E respectively. The size of the weight coefficient can be adjusted according to the specific application scenario, 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 impact of temperature on the performance of the carton is nonlinear, with an exponent of 2.3 indicating that the impact of temperature increases significantly as the ratio of actual temperature to standard temperature increases. For example, when T > T0, the impact of temperature increases rapidly.

[0089] Humidity impact term The impact of humidity on the performance of the carton is also nonlinear, with an exponent of 1.7 indicating that the impact of humidity increases as the ratio of actual humidity to standard humidity increases, but at a slightly lower rate than temperature. High humidity environments can cause the carton material to absorb moisture, reducing its strength.

[0090] Vibration frequency impact term The impact of vibration frequency on the performance of the carton is relatively weak, with an exponent of 1.4 indicating that the impact of vibration increases slowly as the ratio of actual vibration frequency to standard vibration frequency increases. High-frequency vibrations can cause the carton structure to fatigue, affecting its load-bearing capacity.

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

[0092] The exponents for temperature, humidity, and vibration frequency are 2.3, 1.7, and 1.4, respectively, reflecting the nonlinear nature of the impact of different environmental factors on the performance of the carton. Temperature has the most significant impact, followed by humidity, and vibration frequency has a relatively small impact.

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

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

[0095] Assume that the standard environmental parameters T0 = 25°C, H0 = 50%, and V0 = 10 Hz.

[0096] The actual environmental parameters T = 35°C, H = 70%, and 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] The comprehensive influence coefficient: E = 1.38 + 0.69 + 0.38 = 2.45.

[0101] In summary, the present application quantifies the influence of temperature, humidity and vibration frequency on the performance of the carton as a comprehensive index by weighted summation. The design fully considers the nonlinear characteristics of different environmental factors, and realizes flexible adjustment through weight coefficients. The formula provides an important theoretical basis for the design optimization of corrugated boxes, and can effectively overcome the limitations of traditional static design methods.

[0102] Step S202, according to the environmental comprehensive influence coefficient, the material strength correction coefficient considering the dynamic change of environment is constructed.

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

[0104] Obtaining an initial strength coefficient representing the strength reference value of the material of the corrugated box under standard environment;

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

[0106] Obtaining the service time of the corrugated box, and a periodic parameter representing the periodic characteristics of the material strength of the corrugated box with time, and a fluctuation amplitude coefficient representing the fluctuation amplitude with time;

[0107] Obtaining the actual stress borne by the material strength of the corrugated box in actual use;

[0108] According to the initial strength coefficient, the environmental sensitivity, the service time, the periodic parameter, the fluctuation amplitude coefficient and the actual stress of the corrugated box, combined with the environmental comprehensive influence coefficient, the material strength correction coefficient of the corrugated box is determined.

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

[0110]

[0111] Wherein, M is the material strength correction coefficient, K1 is the initial strength coefficient, λ is the environmental sensitivity, t is the service time, τ is the periodic parameter, σ is the actual stress, σ0 is the standard stress, and n is the nonlinear index.

[0112] In a specific implementation, the formula is used to calculate the material strength correction coefficient M, which comprehensively considers the influence of environmental factors, time periodicity and stress state on the material strength of the corrugated box. The value of M is used to correct the initial strength of the material to reflect the strength change under actual use conditions.

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

[0114] L1 is the initial strength coefficient, indicating the initial strength of the material under standard environmental conditions, which is a reference value.

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

[0116] E is the environmental comprehensive influence coefficient, calculated by the formula above, reflecting the comprehensive influence of environmental factors (temperature, humidity, vibration frequency) on the material.

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

[0118] τ is the periodic parameter, indicating the periodic characteristics of the material strength change over time, such as seasonal changes or the influence of 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, indicating the stress size that the material bears in actual use. σ0 is the standard stress, indicating the stress value of the material under standard test conditions, which is a reference benchmark.

[0121] n is the non-linear index, indicating the non-linear degree of the influence of stress on material strength. The larger the n value, the more significant the influence of stress on strength.

[0122] The initial strength term K1 represents the initial strength of the material under standard environmental conditions, which is the benchmark value of material strength.

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

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

[0125] The stress influence modification term represents the influence of actual stress on material strength. is the ratio of actual stress to standard stress, and n controls the non-linear degree of stress influence.

[0126] Through the exponential function e -λEDescribes the attenuation effect of environmental factors on material strength, reflecting the nonlinear influence of environment on material strength. Through the sine function Describes the periodic characteristics of material strength changes over time, such as the influence of diurnal temperature difference or seasonal changes on material strength. Through the power function Describes the nonlinear influence of actual stress on material strength, reflecting the cumulative effect of stress on material strength. The formula combines the initial strength K1 with environmental influence, time periodicity and stress state, comprehensively reflecting the change law of material strength under actual use conditions.

[0127] By calculating M, the strength change of the material under actual environmental and use conditions can be evaluated, providing a basis for carton design. By analyzing the 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, prolonging its service life.

[0128] Example calculation, assuming:

[0129] Initial strength coefficient K1 = 1.0;

[0130] Environmental sensitivity λ = 0.2;

[0131] Environmental comprehensive influence coefficient E = 2.45;

[0132] Amplitude coefficient ω = 0.1;

[0133] Use time t = 30 days;

[0134] Periodic parameter τ = 60 days;

[0135] Actual stress σ = 50 MPa;

[0136] Standard stress σ0 = 40 MPa;

[0137] Nonlinear index n = 1.5.

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

[0139] In summary, the present application comprehensively considers environmental factors, time periodicity and stress state, fully reflecting the change law of corrugated carton material strength under actual use conditions. Its design fully considers the nonlinear characteristics of different factors, and realizes flexible adjustment through parameters. The formula provides an important theoretical basis for material strength evaluation and carton design optimization.

[0140] Step S203, according to the material properties and box geometry parameters of the corrugated carton, calculate the dynamic bearing capacity optimization coefficient.

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

[0142] obtaining a reference bearing value, a corrugated structure coefficient of each layer, a corrugated angle, a box height, a box width, and a geometric correction index of the corrugated box;

[0143] determining a corrugated structure enhancement value of the corrugated box according to the reference bearing value, the corrugated structure coefficient of each layer, and the corrugated angle;

[0144] determining a geometric proportion correction value of the box height and the box width ratio on the bearing capacity according to the box height, the box width, and the geometric correction index of the corrugated box;

[0145] obtaining a structure compensation value of other structures in the corrugated box other than the corrugated structure on the bearing capacity compensation;

[0146] calculating a dynamic bearing capacity optimization coefficient according to the corrugated structure enhancement value, the geometric proportion correction value, and the structure compensation value of the corrugated box.

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

[0148]

[0149] wherein P is the dynamic bearing capacity optimization coefficient, R0 is the reference bearing value, δ i is the corrugated structure coefficient of each layer, θ i is the corrugated angle, h is the box height, w is the box width, m is the geometric correction index, and F(x) is the structure compensation function.

[0150] In a specific implementation, the formula is used to calculate the dynamic bearing capacity optimization coefficient P, which comprehensively considers the influence of material strength, corrugated structure, box geometry, and structure compensation on the bearing capacity of the corrugated box. The P value is used to evaluate the bearing capacity of the corrugated box under actual use conditions and provides a basis for design optimization.

[0151] P is the dynamic bearing capacity optimization coefficient, which represents the bearing capacity of the corrugated box under actual use conditions. The larger the P value, the stronger the bearing capacity of the corrugated box. M is the material strength correction coefficient, which is calculated by the formula in the previous text and reflects the strength change of the material under actual environment and use conditions. R0 is the reference bearing value, which represents the bearing capacity of the corrugated box under standard conditions and is a reference benchmark. δ i is the corrugated structure coefficient of each layer, which represents the contribution of the structure characteristics of each layer of corrugated structure to the bearing capacity. Different layers of corrugated structure may have different structure coefficients. θ iis the corrugation angle, representing the angle of each layer of corrugation in the carton, affecting the structural strength and stability of the corrugation. h is the box height, i.e. the height of the carton, with units of centimeters (cm) or other length units. w is the box width, i.e. the width of the carton, with units of centimeters (cm) or other length units. m is the geometric correction index, representing the nonlinear effect of the ratio of box height to width on the carrying capacity. F(x) is the structure compensation function, representing the compensatory effect of other structural features of the carton (such as reinforcing ribs, joint design, etc.) on the carrying capacity.

[0152] Specifically, the material strength correction term M reflects the strength changes of the material under actual environmental and usage conditions, directly affecting the carrying capacity of the carton.

[0153] The corrugation structure enhancement term R0+∑(δ i ·cosθ i) , R0 is the reference carrying value, representing the carrying capacity of the carton under standard conditions. ∑(δ i ·cosθ i ) represents the enhancement effect of the corrugation structure of each layer on the carrying capacity. δ i ·cosθ i reflects the contribution of the corrugation angle to the structural strength.

[0154] The geometric proportion correction term represents the effect of the ratio of box height to width on the carrying capacity. m controls the degree of nonlinearity of the geometric proportion effect.

[0155] The structure compensation term F(x) represents the compensatory effect of other structural features of the carton on the carrying capacity. F(x) can be a linear or nonlinear function, with the specific form determined according to the design features of the carton.

[0156] By introducing the material strength changes through M into the carrying capacity calculation, it ensures that the formula can reflect the influence of actual environmental and usage conditions on the performance of the carton. By R0+∑(δ i ·cosθ i ), the structural characteristics of each layer of corrugation are considered comprehensively, reflecting the contribution of the corrugation angle to the carrying capacity. By reflects the nonlinear effect of the ratio of box height to width on the carrying capacity, ensuring that the formula is applicable to cartons of different sizes. F(x) introduces the influence of other structural features, making the formula more comprehensive in reflecting the carrying capacity of the carton.

[0157] By calculating P, the influence of different design parameters (such as corrugation structure, box size) on the carrying capacity of the carton can be evaluated, providing a basis for design optimization. By analyzing the trend of P, the carrying capacity of the carton under actual usage conditions can be evaluated, ensuring that it meets the requirements of transportation and storage. By adjusting the corrugation structure coefficient δ i and the angle θ iThe structure design of the carton can be optimized, and the carrying capacity thereof is improved.

[0158] Example calculation, assuming:

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

[0160] Reference carrying value: R0=1000N;

[0161] Corrugated structure coefficients: δ1, δ2, and δ3 are 50, 60, and 40, respectively.

[0162] Corrugated angle: θ1, θ2, and θ3 are 30°, 45°, and 60°, respectively;

[0163] Carton height: h=6cm;

[0164] Carton width: w=40cm;

[0165] Geometric correction index: m=1.2;

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

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

[0168] In summary, the present application comprehensively considers material strength, corrugated structure, carton geometric size and structural compensation, and comprehensively reflects the influencing factors of the carrying capacity of the carton. The design fully considers the nonlinear characteristics of different factors, and realizes flexible adjustment through parameters. The formula provides an important theoretical basis for carton design optimization and carrying capacity evaluation.

[0169] Step S204, according to the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic carrying capacity optimization coefficient, the optimization target value is determined.

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

[0171] According to the service life of the corrugated carton, the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic carrying capacity optimization coefficient are integrated to determine the time integral term;

[0172] Obtain the space distribution term representing the performance difference of the corrugated carton in space distribution;

[0173] According to the time integral term and the space distribution term, the optimization target value is determined.

[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 a specific implementation, this formula is used to calculate the optimization target value Z, which takes into account the bearing capacity, environmental impact, material strength variation rate, and spatial distribution of the impact on the performance of the carton. The Z value is used to evaluate the overall performance of the carton design and provide a target function for optimization design.

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

[0179] P is the optimization bearing coefficient, calculated by the formula above, reflecting the bearing capacity of the carton under actual use conditions.

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

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

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

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

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

[0185] Time integral term This part takes into account the contribution of bearing capacity, environmental impact, material strength, and environmental change rate to the optimization target value.

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

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

[0188] The time integral term takes into account the changes of carrying capacity, environmental impact, material strength and environmental change rate over time through integration operation, ensuring that the formula can reflect the performance of the carton under dynamic environment.

[0189] The influence of environmental change rate is introduced by The influence of environmental change rate is introduced to reflect the immediate impact of dynamic environmental 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, and the objective function for design optimization can be provided. By analyzing the trend of Z over time, the adaptability of the carton under dynamic environment can be evaluated. By adjusting the parameters of Ψ(x, y), the performance differences of the carton in spatial distribution can be optimized.

[0192] Example calculation, assuming:

[0193] Optimized carrying coefficient: P = 1967.5 N;

[0194] Environmental comprehensive influence 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 application comprehensively considers carrying capacity, environmental impact, material strength change rate and spatial distribution, and fully reflects the comprehensive performance of carton design. Its design fully considers the influence of dynamic environment and spatial distribution, and realizes flexible adjustment through parameters ξ and Ψ(x, y). The formula provides an important theoretical basis for carton design optimization.

[0202] Step S205, according to the optimization target value, determine the performance evaluation index of the corrugated carton to verify the comprehensive performance index of the optimization result.

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

[0204] obtaining a reference 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] obtaining error factors representing the influence of various errors on the comprehensive performance index during the optimization process;

[0207] determining the comprehensive performance index according to the optimization target value, the reference optimization value, the convergence coefficient, and the error factors.

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

[0209]

[0210] where Q is the comprehensive performance index, Z0 is the reference optimization value, κ is the convergence coefficient, ∈ i are error factors.

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

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

[0213] Z is the optimization target value, calculated by the formula above, reflecting the comprehensive performance of the carton design.

[0214] Z0 is the reference optimization value, representing the optimization target value of the carton under standard conditions, which is a reference benchmark.

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

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

[0217] ∈ i are error factors, representing the influence of various errors on the comprehensive performance index during the optimization process. ∈ i values can be positive or negative, representing positive or negative effects of errors, respectively.

[0218] Optimization target value proportion term represents the proportion of the current optimization target value Z to the reference optimization value Z0, reflecting the relative advantages and disadvantages of the design performance.

[0219] Time convergence term: 1-e-kt , indicating the characteristic that the optimization objective value converges over time. -kt It is an exponentially decaying function, reflecting the convergence speed of the optimization process.

[0220] Error product term: ∏(1+∈ i ), representing the cumulative impact of each error on the overall performance index. ∈ i These are the various error factors, which can be positive or negative.

[0221] Optimize target value ratio term The current optimization target value is compared with the benchmark value to reflect the relative superiority or inferiority of the design performance.

[0222] The time convergence term passes through 1-e -kt Describe the convergence characteristics of the optimization objective value over time to ensure that the formula can reflect the dynamic changes in the optimization process.

[0223] The error product term passes through ∏(1+∈ i Taking into account the impact of various errors on the overall performance index, we ensure that the formula can reflect the reliability of the optimization results.

[0224] Calculating Q allows us to verify whether the optimization results meet design requirements and provides a basis for subsequent adjustments. Analyzing the trend of Q's changes allows us to evaluate the overall performance of the carton design, ensuring it meets practical usage requirements. Adjusting ∈ i The value of can be used to analyze the impact of various errors on the overall performance index and optimize the design process.

[0225] Assumption:

[0226] Optimization target value: Z = 45406.05;

[0227] Baseline optimized value: Z0 = 50000;

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

[0229] Time: t = 10h;

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

[0231] Overall performance indicators:

[0232] Q=0.9081×0.6321×1.039=0.596.

[0233] In summary, the application comprehensively reflects the comprehensive performance of the carton design by comprehensively considering the optimization target value, time convergence and various errors. The design fully considers the dynamic characteristics and error influence of the optimization process, and adjusts the parameters κ and ∈ i Flexible adjustment is realized. The formula provides an important theoretical basis for optimization result verification and performance evaluation.

[0234] Step S206, a dynamic feedback correction system is established according to the time decay mechanism, and a correction parameter of the comprehensive performance index is determined.

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

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

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

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

[0239] According to the time decay coefficient, the weight coefficient and the state parameter, the correction parameter is determined.

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

[0241]

[0242] Wherein 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 value of C can feedback multiple parameters in the foregoing optimization process, such as affecting the material strength correction coefficient M, adjusting the dynamic load capacity optimization coefficient P, and correcting the comprehensive optimization function Z. The adaptive adjustment of each parameter can also be performed through the value of C, 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] Through this mechanism, adaptive optimization of design parameters is realized, avoiding overdesign or insufficient strength.

[0247] The formula is used to calculate the feedback correction coefficient C, which comprehensively considers the comprehensive performance index, the time decay effect and the dynamic adjustment requirement of the system state on the design parameter. The value of C is used to feedback multiple parameters in the optimization process, realizing adaptive optimization of design parameters.

[0248] C is the feedback correction coefficient, indicating the degree of design parameter adjustment. C>1 indicates that the design strength needs to be improved, and C<1 indicates that the material usage can be appropriately reduced.

[0249] Q is the comprehensive performance index, calculated by the formula above, reflecting the comprehensive performance of the carton design.

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

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

[0252] t0 is the reference time, indicating the reference benchmark for time decay, usually a fixed value.

[0253] ρ i is the weight coefficient, indicating the contribution weight of each state parameter S i to the correction coefficient.

[0254] S i is the state parameter, indicating the real-time state of the system, such as environmental temperature, humidity, vibration frequency, etc.

[0255] The comprehensive performance index term Q represents the comprehensive performance of the current design, which is the basis for the correction coefficient.

[0256] The time decay term represents the influence of time on the correction coefficient. is a logarithmic function, reflecting the time decay effect.

[0257] The state parameter weighting term ∑(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] By introducing the comprehensive performance index Q into the correction coefficient calculation, it ensures that the correction coefficient can reflect the actual performance of the design. By describing the influence of time on the correction coefficient, it reflects the dynamic changes of the optimization process. By ∑(ρ i ·S i ), the influence of each state parameter is considered comprehensively, ensuring that the correction coefficient can reflect the real-time state of the system.

[0259] By adjusting the material strength correction coefficient M, the dynamic load capacity optimization coefficient P, and the comprehensive optimization function Z through the C value feedback, the adaptive optimization of design parameters is realized.

[0260] When C>1, the design strength is improved; when C<1, the material usage is appropriately reduced to avoid overdesign or insufficient strength.

[0261] By S i Real-time monitoring of system state, dynamic adjustment of design parameters, ensure that the performance of the carton meets the actual use requirements.

[0262] Example calculation, assuming:

[0263] Comprehensive performance index: Q=0.596;

[0264] Time attenuation coefficient:

[0265] Current time: t=10h;

[0266] Reference time: t0=5h;

[0267] State parameters: S1=1.2, S2=0.8, S3=1.0;

[0268] Weight coefficient: p1=0.4, p2=0.3, p3=0.3;

[0269] Feedback correction coefficient:

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

[0271] In summary, the present application realizes the adaptive optimization of design parameters by comprehensively considering the comprehensive performance index, time attenuation effect and system state. The design fully considers the dynamic characteristics of the optimization process and the influence of real-time state, and adjusts the parameters p i and S i Realize flexible adjustment. The formula provides an important theoretical basis for the adaptive optimization of design parameters.

[0272] Step S207, according to the correction coefficient, the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient are optimized, and the design parameters of the corrugated paper box are adaptively adjusted, and the design optimization result is obtained.

[0273] Specifically, the C value will feedback the multiple parameters in the foregoing optimization process, for example, it will affect the material strength correction coefficient M, and after correction, M'=M*C. For example, adjust the optimization bearing coefficient P, and after correction, P'=P / C, 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 the material strength correction coefficient M needs to be improved, the dynamic bearing capacity optimization coefficient P needs to be adjusted, and the comprehensive optimization function Z needs to be corrected. 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] Referring to Figure 3 , Figure 3 A structural schematic diagram of a corrugated box design optimization system based on model data provided by the present application.

[0276] As Figure 3 shown, the corrugated box design optimization system based on model data provided by the embodiment of the present application comprises:

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

[0278] A material coefficient module 302 is configured to construct a material strength correction coefficient considering dynamic changes of the environment according to the environmental comprehensive influence coefficient.

[0279] A bearing coefficient module 303 is configured to calculate a dynamic bearing capacity optimization coefficient according to material properties and box geometry parameters of the corrugated box.

[0280] An optimization value module 304 is configured to determine an optimization target value according to the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient.

[0281] An optimization verification module 305 is configured to determine a comprehensive performance index for verifying an optimization result of a performance evaluation index of the corrugated box according to the optimization target value.

[0282] A feedback correction module 306 is 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 is configured to optimize the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient according to the correction coefficient, and to adaptively adjust design parameters of the corrugated box to obtain a design optimization result.

[0284] Referring to Figure 4 , Figure 4 An embodiment schematic diagram of an electronic device provided by the embodiment of the present application. As Figure 4As shown, the embodiment of the present application provides an electronic device 400, comprising a memory 410, a processor 420, and a computer program 411 stored in the memory 410 and executable on the processor 420, and the processor 420 implements the following steps when executing the computer program 411:

[0285] An environmental influence coefficient model is constructed, which comprises temperature, humidity and vibration parameters of an environment where the corrugated box is located, and a comprehensive environmental influence coefficient is calculated;

[0286] According to the comprehensive environmental influence coefficient, a material strength correction coefficient is constructed considering dynamic changes of the environment;

[0287] According to the material properties and the box geometry parameters of the corrugated box, a dynamic carrying capacity optimization coefficient is calculated;

[0288] According to the comprehensive environmental influence coefficient, the material strength correction coefficient and the dynamic carrying capacity optimization coefficient, an optimization target value is determined;

[0289] According to the optimization target value, a comprehensive performance index is determined, which represents a performance evaluation index of the corrugated box and verifies the optimization result;

[0290] A dynamic feedback correction system is established according to a time decay mechanism, and a correction parameter of the comprehensive performance index is determined;

[0291] According to the correction coefficient, the comprehensive environmental influence coefficient, the material strength correction coefficient and the dynamic carrying capacity optimization coefficient are optimized, and the design parameters of the corrugated box are adaptively adjusted to obtain a design optimization result.

[0292] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

Claims

1. A method for optimizing a corrugated box design based on model data, characterized by, The method comprises: constructing an environmental influence coefficient model including temperature, humidity and vibration parameters of an environment where the corrugated box is located, and calculating an environmental comprehensive influence coefficient; According to the environmental comprehensive influence coefficient, a material strength correction coefficient considering dynamic changes of the environment is constructed, including: obtaining an initial strength coefficient representing a strength benchmark value of the material of the corrugated box under a standard environment; obtaining an environmental sensitivity representing a sensitivity degree of the material strength of the corrugated box to the environmental comprehensive influence coefficient; obtaining a use duration of the corrugated box, a period parameter representing a periodic characteristic of the material strength of the corrugated box changing over time, and a fluctuation amplitude coefficient representing a fluctuation amplitude over time; obtaining an actual stress borne by the material strength of the corrugated box in actual use; and determining the material strength correction coefficient of the corrugated box according to the initial strength coefficient, the environmental sensitivity, the use duration, the period parameter, the fluctuation amplitude coefficient and the actual stress of the corrugated box in combination with the environmental comprehensive influence coefficient, wherein the material strength correction coefficient is represented as: wherein M is the material strength correction coefficient, is the initial strength coefficient, is the environmental sensitivity, and t is the use duration, is the period parameter, is the actual stress, is a standard stress, and n is a nonlinear index. calculating a dynamic load capacity optimization coefficient according to material properties and box geometry parameters of the corrugated box; determining an optimization target value according to the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic load capacity optimization coefficient; determining a comprehensive performance index representing performance evaluation indexes of the corrugated box to verify the optimization result according to the optimization target value; According to the time decay mechanism, a dynamic feedback correction system is established to determine the correction parameter of the comprehensive performance index, comprising: obtaining a time decay coefficient representing the influence degree of time on the correction parameter; obtaining a state parameter representing the real-time state of the system; obtaining a weight coefficient representing the contribution degree of each state parameter to the correction parameter; and determining the correction parameter according to the time decay coefficient, the weight coefficient and the state parameter, wherein the correction parameter is represented as: wherein C is the correction parameter, is the time decay coefficient, is the weight coefficient, is the state parameter. According to the correction parameter, the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient are optimized, and the design parameters of the corrugated box are adaptively adjusted to obtain a design optimization result, including: according to the correction parameter, the environmental comprehensive influence coefficient is corrected, and the corrected environmental comprehensive influence coefficient is According to the correction parameter, the material strength correction coefficient is corrected, and the corrected material strength correction coefficient is According to the correction parameter, the dynamic bearing capacity optimization coefficient is corrected, and the corrected dynamic bearing capacity optimization coefficient is =P / C, wherein C is the correction parameter, Z is the environmental comprehensive influence coefficient, M is the material strength correction coefficient, and P is the dynamic bearing capacity optimization coefficient.

2. The method for designing and optimizing a corrugated box based on model data according to claim 1, wherein, The calculation of the environmental comprehensive influence coefficient comprises: obtaining the current environmental temperature, environmental humidity and transportation vibration frequency of the environment where the corrugated box is located; obtaining the standard environmental temperature, standard environmental humidity and standard transportation vibration frequency of the environment where the corrugated box is located; processing 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 influence coefficient.

3. The method for designing and optimizing a corrugated box based on model data according to claim 2, wherein, The calculation of the dynamic load capacity optimization coefficient according to the material properties and the box geometry parameters of the corrugated box comprises: obtaining the reference load 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; determining the corrugated structure enhancement value of the corrugated box according to the reference load value, the corrugated structure coefficient of each layer and the corrugated angle; determining the geometric proportion correction value of the box height to the box width ratio of the corrugated box according to the box height, the box width and the geometric correction index of the corrugated box; obtaining the structure compensation value of other structures in the corrugated box except the corrugated structure to the load capacity compensation; calculating the dynamic load capacity optimization coefficient according to the corrugated structure enhancement value, the geometric proportion correction value and the structure compensation value of the corrugated box.

4. The method for designing and optimizing a corrugated box based on model data according to claim 3, wherein, The determination of the optimization target value according to the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic load capacity optimization coefficient comprises: integrating the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic load capacity optimization coefficient according to the service life of the corrugated box to determine a time integral term; obtaining a spatial distribution term representing performance differences of the corrugated box in spatial distribution; determining the optimization target value according to the time integral term and the spatial distribution term.

5. The method for designing and optimizing a corrugated box based on model data according to claim 4, wherein, The determination of the comprehensive performance index representing the performance evaluation indexes of the corrugated box to verify the optimization result according to the optimization target value comprises: obtaining a reference optimization value corresponding to the optimization target value; obtaining a convergence coefficient representing the convergence speed of the optimization target value over time; obtaining error factors representing the influence of errors in the optimization process on the comprehensive performance index; determining the comprehensive performance index according to the optimization target value, the reference optimization value, the convergence coefficient and the error factors.

6. A corrugated box design optimization system based on model data, characterized by, The system comprises: an environmental coefficient module configured to construct an environmental influence coefficient model including temperature, humidity and vibration parameters of an environment where the corrugated box is located, and calculate an environmental comprehensive influence coefficient; The material coefficient module is configured to construct a material strength correction coefficient considering dynamic changes of the environment according to the environmental comprehensive influence coefficient, and is further configured to obtain an initial strength coefficient representing a strength benchmark value of the material of the corrugated case under a standard environment, obtain an environmental sensitivity representing a sensitivity degree of the material strength of the corrugated case to the environmental comprehensive influence coefficient, obtain a service time length of the corrugated case, a periodic parameter representing a periodic characteristic of the material strength of the corrugated case changing over time, and a fluctuation amplitude coefficient representing a fluctuation amplitude of the material strength of the corrugated case changing over time, and obtain an actual stress borne by the material strength of the corrugated case in actual use. The material strength correction coefficient of the corrugated case is determined according to the initial strength coefficient, the environmental sensitivity, the service time length, the periodic parameter, the fluctuation amplitude coefficient and the actual stress of the corrugated case in combination with the environmental comprehensive influence coefficient, and is represented as: wherein M is the material strength correction coefficient, is the initial strength coefficient, is the environmental sensitivity, and t is the service time length, is the periodic parameter, is the actual stress, is a standard stress, and n is a nonlinear index. A bearing coefficient module is configured to calculate a dynamic bearing capacity optimization coefficient according to material properties and box geometry parameters of the corrugated box. An optimization value module is configured to determine an optimization target value according to the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient. An optimization verification module is configured to determine a comprehensive performance index for verifying an optimization result of a performance evaluation index of the corrugated box according to the optimization target value. The feedback correction module is configured to establish a dynamic feedback correction system according to a time decay mechanism, determine a correction parameter of the comprehensive performance index, and obtain a time decay coefficient representing an influence degree of time on the correction parameter; obtain a state parameter representing a real-time state of the system; obtain a weight coefficient representing a contribution degree of each state parameter to the correction parameter; and determine the correction parameter according to the time decay coefficient, the weight coefficient, and the state parameter, wherein the correction parameter is represented as: wherein C is the correction parameter, is the time decay coefficient, is the weight coefficient, is the state parameter. The design optimization module is configured to optimize the environmental comprehensive influence coefficient, the material strength correction coefficient and the dynamic bearing capacity optimization coefficient according to the correction parameter, and to adaptively adjust the design parameters of the corrugated case to obtain a design optimization result. The design optimization module is also configured to correct the environmental comprehensive influence coefficient according to the correction parameter, and to correct the material strength correction coefficient according to the correction parameter The material strength correction coefficient is corrected according to the correction parameter, and the corrected material strength correction coefficient is The dynamic bearing capacity optimization coefficient is corrected according to the correction parameter, and the corrected dynamic bearing capacity optimization coefficient is P / C, wherein C is the correction parameter, Z is the environmental comprehensive influence coefficient, M is the material strength correction coefficient, and P is the dynamic bearing capacity optimization coefficient.

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