Intelligent data-based agricultural product packaging design generation method and system

Abstract

The application relates to the field of packaging design, and discloses a smart data-based agricultural product packaging design generation method and system, which is used for solving the problem that agricultural products are damaged due to packaging deformation caused by changes in external environment when agricultural product packaging design is performed, and comprises the following steps: collecting agricultural product characteristic parameters, evaluating to obtain a damageable coefficient, performing damageable judgment according to the damageable coefficient, obtaining environmental data and initial packaging parameters if the agricultural products are prone to damage in the damageable judgment, evaluating to obtain a packaging deformation risk index, judging whether the agricultural products will be damaged due to packaging changes according to the packaging deformation risk index, adjusting the initial packaging parameters according to the packaging deformation risk index if it is judged that the agricultural products will be damaged due to packaging changes, obtaining actual packaging parameters, and obtaining a complete packaging design according to the actual packaging parameters, so that the safety of the agricultural products in the transportation process is effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of packaging design, more particularly to a method and system for generating agricultural product packaging design based on intelligent data. BACKGROUND

[0002] Agricultural product packaging design is the design of suitable packaging solutions based on the physical characteristics and preservation needs of agricultural products, including material selection, structure design and appearance design, aiming to protect the quality and safety of agricultural products during transportation, storage and sales, while enhancing the market appeal and brand value of the products, and taking into account environmental friendliness and economy.

[0003] The existing agricultural product packaging design method generally includes demand analysis, material selection, structure design, performance testing, market research and production implementation, etc. By selecting suitable materials and design solutions according to the type, characteristics and storage and transportation needs of agricultural products, functional verification such as compression resistance, moisture resistance and freshness preservation is carried out, the appearance is designed in combination with market preferences, and finally converted into mass production to meet the stability and efficiency requirements during transportation and storage.

[0004] For example, the design content push method disclosed in the patent CN115391668A includes a database that stores product information of various agricultural products, style label information of various agricultural products and packaging cover information of various agricultural products. The method further includes the following steps: obtaining the product information and geographic location information of the user; identifying the product information of the user; pushing the style label information of the product to the user according to the product information and geographic location information; obtaining the style label information selected by the user; matching the packaging cover information according to the selected style label information and the identified product information, and pushing it to the user. This solves the problem of lack of agricultural product design talent, resulting in long design time, high cost and low efficiency of agricultural product design, and the invention is mainly used for online agricultural product design.

[0005] For example, the information push method disclosed in the patent CN116151901A includes a database that stores packaging cover information of various agricultural products. The method further includes the following steps: counting the number of clicks and views of the packaging cover information by the user; generating a trend ranking list in descending order of the number of clicks and views according to the number of clicks and views of the packaging cover information by the user; and pushing the generated trend ranking list to the user. This solves the problem of agricultural product design related learners being able to learn design content online, designers being able to find design inspiration online, and consumers being able to make online comparisons and selections according to their needs, and the invention is mainly used for online push of agricultural product design.

[0006] But in the process of implementing the technical scheme of the embodiments of the present application, the above-mentioned technology at least has the following technical problems:

[0007] In actual application, after packaging, agricultural products usually need to be transported to a distant area for sale. The existing agricultural product packaging design method is difficult to effectively cope with complex transportation environment and variable climate conditions. Changes in transportation environment and climate can easily cause packaging deformation and damage, thereby damaging agricultural products. At the same time, the traditional design method usually relies on manual experience, lacks intelligent and data-driven support, and is difficult to quickly respond to the individual needs of specific agricultural products. SUMMARY

[0008] In order to overcome the above-mentioned defects of the prior art, the present application provides an agricultural product packaging design generation method and system based on intelligent data to solve the problems existing in the above background art.

[0009] To achieve the above-mentioned purpose, the present application provides the following technical scheme:

[0010] The agricultural product packaging design generation method based on intelligent data comprises the following steps: step 1: collecting agricultural product characteristic parameters, evaluating the damage coefficient according to the agricultural product characteristic parameters, setting the damage threshold, and judging the damage of the agricultural product according to the damage coefficient and the damage threshold; step 2: if the damage of the agricultural product is judged to be easy to occur, the environmental data and the initial packaging parameters are obtained, and the packaging deformation risk index is evaluated according to the environmental data, the initial packaging parameters and the damage coefficient; step 3: setting a risk threshold, judging whether the agricultural product will be damaged due to packaging changes according to the packaging deformation risk index and the risk threshold; step 4: if it is judged that the agricultural product will be damaged due to packaging changes, a warning prompt is given, and the initial packaging parameters are adjusted according to the packaging deformation risk index and the risk threshold to obtain the actual packaging parameters; step 5: based on the target market consumer preference, a packaging appearance design is generated, which includes color and pattern, etc., and a complete packaging design is obtained according to the packaging appearance design and the actual packaging parameters.

[0011] Preferably, the step of obtaining the vulnerability coefficient is as follows: n agricultural products are randomly selected as data acquisition objects; the physical characteristics of each data acquisition object are acquired; the average physical characteristics of each data acquisition object are calculated by averaging the physical characteristics; the compressibility is evaluated based on the average physical characteristics; the volume data of each data acquisition object is acquired; the average volume data of each data acquisition object is calculated by averaging the volume data of each data acquisition object, and this is recorded as the crop volume data; the surface friction coefficient of each data acquisition object is measured using the inclined plane method; the average surface friction coefficient of each data acquisition object is calculated by averaging the surface friction coefficient, and this is recorded as the crop surface friction coefficient; the compressibility, crop volume data, and crop surface friction coefficient are normalized; the vulnerability coefficient is evaluated based on the normalized compressibility, crop volume data, and crop surface friction coefficient. The specific steps are as follows: In the formula, Expressed as the fragility coefficient, This is expressed as resistance to compression. Represented as crop volume data, It is expressed as the coefficient of friction of the crop surface.

[0012] Preferably, the step of obtaining the degree of compression resistance is as follows: a hardness tester is used to measure the hardness of each data acquisition object, and the average hardness is calculated by averaging the measurement results of each data acquisition object; a compression tester is used to obtain the crop elastic modulus of each data acquisition object, and the average crop elastic modulus is calculated by averaging the crop elastic modulus of each data acquisition object; a compression tester is used to test each data acquisition object to obtain brittleness data, and the average brittleness data of each data acquisition object is calculated by averaging the brittleness data of each data acquisition object; the average hardness, average crop elastic modulus, and average brittleness data are normalized, and the degree of compression resistance is obtained based on the normalized average hardness, average crop elastic modulus, and average brittleness data.

[0013] Preferably, the step of judging the fragility of agricultural products based on the fragility coefficient and the fragility threshold is as follows: comparing the fragility coefficient with the fragility threshold; if the fragility coefficient is greater than or equal to the fragility threshold, the agricultural product is judged to be easily damaged; if the fragility coefficient is less than the fragility threshold, the agricultural product is judged to be not easily damaged.

[0014] Preferably, the packaging deformation risk index obtaining step is: obtaining environmental data and initial packaging parameters, the environmental data including air pressure, temperature, humidity of the origin and destination of the agricultural products and the transportation time required, the initial packaging parameters including the elastic modulus, compressive strength, thickness, sealing property, packaging volume and moisture resistance of the packaging; obtaining an environmental influence coefficient according to the environmental data; obtaining an initial packaging stability coefficient according to the initial packaging parameters; performing normalization processing on the environmental influence coefficient, the initial packaging stability coefficient and the vulnerability coefficient, and obtaining the packaging deformation risk index according to the normalized environmental influence coefficient, the normalized initial packaging stability coefficient and the normalized vulnerability coefficient, and the specific obtaining steps are: ; wherein, represents the packaging deformation risk index, represents the environmental influence coefficient, represents the initial packaging stability coefficient, represents the vulnerability coefficient, , , represents the weight coefficient of the environmental influence coefficient, the initial packaging stability coefficient and the vulnerability coefficient.

[0015] Preferably, the environmental influence coefficient obtaining step is: obtaining air pressure, temperature and humidity data of the origin and destination; obtaining the transportation time required from the origin to the destination; performing normalization processing on the air pressure, temperature, humidity data and the transportation time required, and obtaining the environmental influence coefficient according to the normalized air pressure, temperature, humidity data and the transportation time required.

[0016] Preferably, the initial packaging stability coefficient obtaining step is: obtaining the elastic modulus, compressive strength, thickness and packaging volume of the initial packaging through initial packaging design parameters; obtaining the sealing property of the initial packaging through the gas leakage method, and obtaining the moisture resistance of the initial packaging through the moisture permeation test method; performing normalization processing on the elastic modulus, compressive strength, thickness, packaging volume, sealing property and moisture resistance of the initial packaging, and obtaining the initial packaging stability coefficient according to the normalized elastic modulus, compressive strength, thickness, packaging volume, sealing property and moisture resistance of the initial packaging.

[0017] Preferably, the step of judging whether the agricultural products will be damaged due to packaging change according to the packaging deformation risk index and the risk threshold is: comparing the packaging deformation risk index with the risk threshold, if the packaging deformation risk index is less than the risk threshold, it is judged that the agricultural products will not be damaged due to packaging change; if the packaging deformation risk index is greater than or equal to the risk threshold, it is judged that the agricultural products will be damaged due to packaging change.

[0018] Preferably, the step of adjusting the initial packaging parameters according to the packaging deformation risk index and the risk threshold to obtain the actual packaging parameters is: calculating the adjustment factor by ratio of the packaging deformation risk index and the risk threshold; calculating the elastic modulus, the compression strength, the thickness and the moisture resistance of the actual packaging by product of the adjustment factor and the elastic modulus, the compression strength, the thickness and the moisture resistance of the initial packaging respectively; calculating the packaging volume and the sealing property of the actual packaging by ratio of the adjustment factor and the packaging volume and the sealing property of the initial packaging respectively; integrating the elastic modulus, the compression strength, the thickness, the moisture resistance, the packaging volume and the sealing property of the actual packaging to obtain the actual packaging parameters.

[0019] Preferably, the system for intelligent data-based agricultural product packaging design generation comprises: an easy-to-damage evaluation module, configured to obtain agricultural product characteristic parameters, evaluate an easy-to-damage coefficient according to the agricultural product characteristic parameters, and perform easy-to-damage judgment on the agricultural product according to the easy-to-damage coefficient; a packaging deformation risk acquisition module, configured to acquire environmental data and initial packaging parameters in a case where the agricultural product is easy to be damaged, and evaluate a packaging deformation risk index according to the environmental data, the initial packaging parameters and the easy-to-damage coefficient; an agricultural product damage judgment module, configured to judge whether the packaging will damage the agricultural product according to the packaging deformation risk index; an actual packaging parameter acquisition module, configured to evaluate actual packaging parameters according to the packaging deformation risk index; and a packaging design module, configured to perform packaging design according to the actual packaging parameters.

[0020] The one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0021] 1. Collecting agricultural product characteristic parameters, evaluating an easy-to-damage coefficient according to the agricultural product characteristic parameters, setting an easy-to-damage threshold, and performing easy-to-damage judgment on the agricultural product according to the easy-to-damage coefficient and the easy-to-damage threshold, which helps to accurately identify the protection needs of different agricultural products. Such a method can scientifically quantify the easy-to-damage property of agricultural products according to their physical characteristics and environmental adaptability, and provide clear basis for packaging design. By comparing the easy-to-damage coefficient with the threshold, individualized optimization of packaging design can be achieved, which not only effectively avoids cost increase caused by over-packaging, but also ensures the quality and safety of agricultural products during transportation and storage, and improves the efficiency and reliability of packaging design.

[0022] 2、If the agricultural product is susceptible to damage, the environmental data and initial packaging parameters are obtained, and a packaging deformation risk index is evaluated based on the environmental data, initial packaging parameters, and susceptibility coefficient. The multiple influences of agricultural product characteristics, packaging design, and environmental conditions are comprehensively considered, making the risk assessment more scientific and comprehensive. Through the quantitative risk index, the key factors leading to packaging failure can be clearly identified, providing data support for subsequent optimization of packaging design, thereby effectively reducing the loss rate of agricultural products, improving the safety and adaptability of packaging, and avoiding resource waste and additional costs caused by blind design.

[0023] 3、A risk threshold is set, and whether the agricultural product will be damaged due to packaging changes is determined based on the packaging deformation risk index and the risk threshold. The safety and applicability of the packaging can be scientifically evaluated by combining the characteristics of the agricultural product, the packaging parameters, and the environmental conditions. Through the setting of the risk threshold, it is ensured that the packaging design is neither overly conservative nor overly risky. This process can help designers quickly screen and optimize packaging solutions, improve design efficiency, and significantly reduce the loss rate of agricultural products during transportation and storage, providing a reliable basis for the whole-process quality assurance of agricultural products.

[0024] 4、If it is determined that the agricultural product will be damaged due to packaging changes, a warning prompt is given, and the initial packaging parameters are adjusted based on the packaging deformation risk index and the risk threshold to obtain actual packaging parameters. This can quickly identify potential risks and prompt designers to take targeted improvement measures in a timely manner, ensuring that the packaging adapts to the specific characteristics of the agricultural product and the transportation environment. By adjusting parameters such as elastic modulus, compressive strength, and sealing performance, a safer and more reliable packaging solution is generated, effectively preventing agricultural products from being damaged due to packaging failure, optimizing resource utilization, reducing excessive design and unnecessary cost investment, and improving the scientificity and practicality of packaging design. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 A flowchart of the agricultural product packaging design generation method based on intelligent data provided by the embodiments of the present application.

[0026] Figure 2 A schematic diagram of the fluctuation trend of each vital sign in the embodiments of the present application.

[0027] Figure 3 A system structure diagram of the agricultural product packaging design generation system based on intelligent data provided by the embodiments of the present application. DETAILED DESCRIPTION

[0028] The technical solutions in the present application will be described clearly and completely below in combination with the drawings in the present application. In addition, the forms of each structure described in the following embodiments are only examples, and the intelligent data-based agricultural product packaging design generation method and system involved in the present application are not limited to each structure described in the following embodiments. All other embodiments obtained by those skilled in the art without creative labor belong to the scope of protection of the present application.

[0029] The present application provides an intelligent data-based agricultural product packaging design generation method, as shown in the specification, comprising the following steps: Figure 1

[0030] Step 1: Collecting agricultural product characteristic parameters, evaluating the damage coefficient according to the agricultural product characteristic parameters, setting the damage threshold, and judging the damage of the agricultural product according to the damage coefficient and the damage threshold;

[0031] In this embodiment, it needs to be specifically pointed out that the damage coefficient obtaining step is:

[0032] Randomly selecting n agricultural products in the agricultural products as data acquisition objects, obtaining the physical characteristics of each data acquisition object, performing mean value calculation on the physical characteristics of each data acquisition object to obtain the average physical characteristics, and evaluating the anti-extrusion degree according to the average physical characteristics;

[0033] Obtaining the volume data of each data acquisition object, performing mean value calculation on the volume data of each data acquisition object to obtain the average volume data, and recording the crop volume data;

[0034] Measuring the surface friction coefficient of each data acquisition object by the inclined plane method, performing mean value calculation on the surface friction coefficient of each data acquisition object to obtain the average surface friction coefficient, and recording the crop surface friction coefficient;

[0035] The inclined plane method is an experimental method for calculating the friction coefficient between an object and an inclined plane by measuring the critical angle at which the object starts to slide on the adjustable inclined plane. The specific steps are as follows: placing the object to be measured (such as agricultural products) on the inclined plane, gradually increasing the inclination angle of the inclined plane until the object just overcomes the static friction force and starts to slide, recording the inclination angle at this time, and calculating the surface friction coefficient by the formula The inclined plane method is simple and efficient, and is suitable for evaluating the stacking stability and anti-skid performance of agricultural products in transportation or packaging scenarios.

[0036] The anti-extrusion degree, crop volume data and crop surface friction coefficient are normalized, and the damage coefficient is evaluated according to the normalized anti-extrusion degree, crop volume data and crop surface friction coefficient. The specific obtaining steps are as follows:

[0037] ​ ;

[0038] In the formula, is expressed as the vulnerability coefficient, is expressed as the degree of resistance to extrusion, reflecting its surface pressure resistance, the higher the degree of resistance to extrusion, the less vulnerable the crop, is expressed as the crop volume data, reflecting its size, the larger the volume, the more uniform the pressure distribution per unit area, the less vulnerable, is expressed as the crop surface friction coefficient, reflecting its stability in stacking and transportation, the higher the friction coefficient, the stronger the stacking stability, the less vulnerable.

[0039] In this embodiment, it needs to be specifically pointed out that the degree of resistance to extrusion acquisition step is:

[0040] Use a hardness tester to measure the hardness of each data acquisition object, and calculate the average hardness of each data acquisition object by averaging the measurement results;

[0041] Hardness tester is an instrument for measuring the hardness of material surface, by testing the resistance of object surface to the pressure into the object, evaluating its pressure resistance or deformation resistance. In crop hardness measurement, usually use Shore hardness tester or indentation hardness tester, these devices use spherical or conical probe to apply certain pressure to the surface of crop, calculate the hardness according to the indentation depth or required pressure value.

[0042] Place each data acquisition object between the two compression test instrument pressure plates, slowly apply pressure, record the deformation and corresponding pressure value, and calculate the crop modulus of elasticity according to the deformation and corresponding pressure value, and calculate the average crop modulus of elasticity of each data acquisition object by averaging the crop modulus of elasticity of each data acquisition object. The specific acquisition steps of crop modulus of elasticity are:

[0043] ;

[0044] In the formula, is the crop modulus of elasticity, is the applied force, is the contact area, is the deformation, is the original length;

[0045] Compression tester is a device for measuring the compressive strength, deformation behavior and modulus of elasticity of materials under compression, by applying vertical pressure to evaluate the mechanical properties of objects. In crop testing, compression tester is usually composed of two parallel pressure plates, the crop sample is placed between them, the pressure is gradually applied and the force and deformation generated during compression are recorded, and finally the compressive strength and modulus of elasticity are calculated.

[0046] The data acquisition object is tested using a compression tester, the pressure is slowly increased until the surface or structure of the data acquisition object breaks, the pressure value and deformation at the time of breaking are recorded, and the brittleness data is calculated according to the pressure value and deformation at the time of breaking, and the average brittleness data is obtained by averaging the brittleness data of each data acquisition object. The specific steps for obtaining the brittleness data are:

[0047] ;

[0048] In the formula, is represented as brittleness data, is represented as the pressure value at the time of breaking, is represented as the deformation;

[0049] Table 1 Data acquisition object brittleness data value

[0050]

[0051] As shown in Table 1, in one specific embodiment, by recording and analyzing the pressure value, deformation and brittleness data of the data acquisition object, the deformation and breaking characteristics of different data acquisition objects under pressure can be found. For example, the brittleness data of data acquisition object 2 is higher, indicating that it can break at a smaller deformation, showing higher brittleness, while the brittleness data of data acquisition object 3 is lower, indicating that it will break at a larger deformation, showing lower brittleness. These test data can reflect the differences in deformation and breaking characteristics of the same crop under stress, and provide a scientific basis for evaluating the packaging design needs of crops. Through analysis of these characteristics, packaging materials and structures can be optimized to effectively reduce the risk of damage to crops during transportation and storage.

[0052] The average hardness, average crop elastic modulus and average brittleness data are normalized, and the degree of resistance to extrusion is obtained according to the normalized average hardness, average crop elastic modulus and average brittleness data. The specific steps are:

[0053] ;

[0054] In the formula, is represented as the degree of resistance to extrusion, is represented as the average hardness, reflecting the resistance of the crop surface to the indenter, the greater the average hardness, the stronger the resistance of the crop to extrusion, and the less likely it is to be damaged by external extrusion, is represented as the average crop elastic modulus, the elastic modulus reflecting the ratio of stress and strain in the elastic deformation stage, reflecting the rigidity of the material, the higher the elastic modulus, the less likely the material is to deform, and the stronger the resistance to extrusion, The average brittleness data is used to reflect the degree of material breakage under external force. The higher the brittleness, the weaker the resistance to extrusion.

[0055] In this embodiment, it needs to be specifically pointed out that the damageable judgment step of the agricultural product according to the damageable coefficient and the damageable threshold value is:

[0056] The damageable coefficient is compared with the damageable threshold value. If the damageable coefficient is greater than or equal to the damageable threshold value, it is judged that the agricultural product is easy to be damaged; if the damageable coefficient is less than the damageable threshold value, it is judged that the agricultural product is not easy to be damaged.

[0057] Step 2: If the damageable judgment agricultural product is easy to be damaged, the environment data and the initial packaging parameter are obtained, and the packaging deformation risk index is evaluated according to the environment data, the initial packaging parameter and the damageable coefficient;

[0058] In this embodiment, it needs to be specifically pointed out that the packaging deformation risk index obtaining step is:

[0059] The environment data and the initial packaging parameter are obtained. The environment data includes the air pressure, temperature, humidity and transportation time of the agricultural product sending place and the destination. The initial packaging parameter includes the elastic modulus, compressive strength, thickness, sealing property, packaging volume and moisture resistance of the packaging;

[0060] The environment influence coefficient is evaluated according to the environment data;

[0061] The initial packaging stability coefficient is evaluated according to the initial packaging parameter;

[0062] The environment influence coefficient, the initial packaging stability coefficient and the damageable coefficient are normalized. The packaging deformation risk index is evaluated according to the normalized environment influence coefficient, the initial packaging stability coefficient and the damageable coefficient. The specific obtaining steps are:

[0063] ;

[0064] In the formula, The packaging deformation risk index is represented as, The environment influence coefficient is represented as. The packaging deformation risk will increase with the adverse change of the environmental conditions, that is, the more severe the environment, the more likely the packaging will be affected. For example, in the transportation path with large air pressure change, the high sealing property packaging may expand or shrink due to the pressure difference between inside and outside; in long-distance transportation, continuous vibration or multiple impacts will accumulate material fatigue, reducing the packaging stability. Therefore, the increase of the environment influence coefficient means that the packaging needs higher adaptability and strength to cope with external conditions, otherwise the deformation risk index will increase, which may cause the agricultural product to be damaged or the packaging to fail, represents the initial package stability coefficient, the higher the stability of the package, the lower the risk of deformation under complex transportation and storage conditions. The initial package stability coefficient reflects the comprehensive compression resistance and deformation resistance of the packaging material and structure. When the initial stability coefficient is high, the package can better maintain its shape and function, reducing the risk of damage to the internal agricultural products. Conversely, if the initial stability coefficient is low, the package may be prone to problems such as rupture, swelling or shrinkage, thereby increasing the package deformation risk index, represents the vulnerability coefficient, which comprehensively reflects the physical properties, surface properties, and size of the agricultural products. For example, agricultural products with a high vulnerability coefficient have a fragile or soft skin that is prone to damage such as rupture or extrusion deformation when the package is compressed or deformed. In this case, even slight deformation of the package can have a significant impact on the quality of the agricultural products. Therefore, agricultural products with high vulnerability require more stable packaging design to reduce the risk of damage during transportation and storage. Conversely, for agricultural products with a low vulnerability coefficient, the product integrity can be maintained even if the package deforms to some extent, and the deformation risk index is relatively low, 、 、 represents the weight coefficient of the environmental impact coefficient, the initial package stability coefficient, and the vulnerability coefficient, and , 、 、 The specific values are determined by professionals according to actual conditions, for example, 、 、 may be 0.5, 0.3, 0.2.

[0065] In this embodiment, it needs to be specifically pointed out that the environmental impact coefficient acquisition step is:

[0066] real-time acquisition of atmospheric pressure, temperature and humidity data of the sending place and the destination place from the meteorological service platform;

[0067] acquire the transportation time from the sending place to the destination place according to the transportation distance and mode;

[0068] normalize the atmospheric pressure, temperature, humidity data and transportation time, and evaluate the environmental impact coefficient according to the normalized atmospheric pressure, temperature, humidity data and transportation time, the specific acquisition steps are:

[0069] ;

[0070] wherein, represents the environmental impact coefficient, is the atmospheric pressure of the sending place, is the atmospheric pressure of the destination place, is the temperature of the sending place, temperature of the destination, humidity of the destination, humidity of the destination, time required for transportation.

[0071] In this embodiment, it needs to be specifically pointed out that the initial packaging stability coefficient obtaining step is:

[0072] The elastic modulus, compressive strength, thickness, and packaging volume of the initial packaging are obtained through the initial packaging design parameters;

[0073] The sealing property of the initial packaging is obtained through the gas leakage method, and the moisture resistance of the initial packaging is obtained through the moisture permeation test method;

[0074] The gas leakage method is an experimental method for evaluating the sealing performance of packaging by measuring the gas leakage rate inside the packaging. The packaging is placed in a high or low pressure environment, and the amount of gas escaping from the inside of the packaging or the change in internal pressure per unit time is measured using a gas leakage detection device. The lower the leakage rate, the higher the sealing property. This method is suitable for evaluating packaging types such as vacuum packaging and modified atmosphere packaging that require high sealing properties.

[0075] The moisture permeation test method is an experimental method for evaluating the moisture resistance of packaging materials by measuring the amount of water vapor passing through the material per unit time to calculate its moisture permeation performance. Specifically, a constant humidity (such as a saturated water vapor environment) is maintained on one side of the material, and the other side is kept dry or low humidity. The change in water vapor mass passing through the material over a period of time is recorded, usually expressed in terms of moisture permeation per unit area per day. The lower the moisture permeation, the better the moisture resistance of the material. This method is widely used in the testing of moisture resistance of food packaging and agricultural product packaging materials.

[0076] The elastic modulus, compressive strength, thickness, packaging volume, sealing property, and moisture resistance of the initial packaging are normalized, and the initial packaging stability coefficient is obtained based on the normalized elastic modulus, compressive strength, thickness, packaging volume, sealing property, and moisture resistance of the initial packaging. The specific obtaining steps are:

[0077] ;

[0078] In the formula, represents the initial packaging stability coefficient, represents the elastic modulus of the initial packaging, represents the compressive strength, represents the thickness, represents the moisture resistance, represents the sealing property, represents the packaging volume.

[0079] Step 3: Set a risk threshold, and determine whether the agricultural products will be damaged due to packaging changes according to the packaging deformation risk index and the risk threshold;

[0080] In this embodiment, it needs to be specifically pointed out that the step of determining whether the agricultural products will be damaged due to packaging changes according to the packaging deformation risk index and the risk threshold is:

[0081] The packaging deformation risk index is compared with the risk threshold. If the packaging deformation risk index is less than the risk threshold, it is determined that the agricultural products will not be damaged due to packaging changes. If the packaging deformation risk index is greater than or equal to the risk threshold, it is determined that the agricultural products will be damaged due to packaging changes.

[0082] Step 4: If it is determined that the agricultural products will be damaged due to packaging changes, a warning prompt is given to remind the packaging designer that the current packaging is not suitable for this batch of agricultural products, and the initial packaging parameters are adjusted according to the packaging deformation risk index and the risk threshold to obtain the actual packaging parameters;

[0083] In this embodiment, it needs to be specifically pointed out that the step of adjusting the initial packaging parameters according to the packaging deformation risk index and the risk threshold to obtain the actual packaging parameters is:

[0084] The packaging deformation risk index and the risk threshold are calculated to obtain an adjustment factor;

[0085] The adjustment factor is multiplied by the elastic modulus, compressive strength, thickness, and moisture resistance of the initial packaging to obtain the elastic modulus, compressive strength, thickness, and moisture resistance of the actual packaging;

[0086] The packaging volume and sealing property of the initial packaging are calculated by the adjustment factor to obtain the packaging volume and sealing property of the actual packaging;

[0087] The elastic modulus, compressive strength, thickness, moisture resistance, packaging volume, and sealing property of the actual packaging are integrated to obtain the actual packaging parameters.

[0088] Step 5: Based on the target market consumer preference, a packaging appearance design is generated, including color, pattern, brand information, etc., and a complete packaging design is obtained according to the packaging appearance design and the actual packaging parameters.

[0089] In this embodiment, it needs to be specifically pointed out that, as shown in Figure 3 The agricultural product packaging design generation system based on intelligent data includes:

[0090] The fragile evaluation module is used to obtain the agricultural product characteristic parameters, and the fragile coefficient is obtained according to the agricultural product characteristic parameters. The fragile evaluation module is used to evaluate the fragile coefficient and judge the fragile coefficient of the agricultural product;

[0091] The packaging deformation risk acquisition module is configured to acquire environmental data and initial packaging parameters when the agricultural products are prone to damage, and to obtain a packaging deformation risk index according to the environmental data, the initial packaging parameters, and a damage-prone coefficient;

[0092] The agricultural product damage judgment module is configured to judge whether the packaging will damage the agricultural products according to the packaging deformation risk index.

[0093] The actual packaging parameter acquisition module is configured to obtain actual packaging parameters according to the packaging deformation risk index.

[0094] The packaging design module is configured to perform packaging design according to the actual packaging parameters.

[0095] Finally, the above description is only the preferred embodiments of the present application, and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0096] The above description is only the specific implementation of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which shall be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for generating agricultural product packaging design based on intelligent data, characterized in that, The method comprises the following steps: Step 1: collecting the characteristic parameters of the agricultural products, evaluating the damage coefficient according to the characteristic parameters of the agricultural products, setting a damage threshold, and judging the damage of the agricultural products according to the damage coefficient and the damage threshold; The damage coefficient obtaining step is: Randomly selecting n agricultural products in the agricultural products as data acquisition objects, obtaining the physical characteristics of each data acquisition object, performing mean value calculation on the physical characteristics of each data acquisition object to obtain average physical characteristics, and evaluating the crushing resistance degree according to the average physical characteristics; Obtaining the volume data of each data acquisition object, performing mean value calculation on the volume data of each data acquisition object to obtain average volume data, and recording the average volume data as crop volume data; Obtaining the surface friction coefficient of each data acquisition object by measuring the surface friction coefficient of each data acquisition object by the inclined plane method, and performing mean value calculation on the surface friction coefficient of each data acquisition object to obtain an average surface friction coefficient, which is recorded as crop surface friction coefficient; The crushing resistance degree, the crop volume data and the crop surface friction coefficient are normalized, and the damage coefficient is evaluated according to the normalized crushing resistance degree, the normalized crop volume data and the normalized crop surface friction coefficient, and the specific obtaining steps are: ； wherein is expressed as a vulnerability coefficient, is expressed as a degree of resistance to crushing, is expressed as a crop volume data, is expressed as a crop surface friction coefficient; The crushing resistance degree obtaining step is: Using a hardness tester to measure the hardness of each data acquisition object, and performing mean value calculation on the measurement results of each data acquisition object to obtain an average hardness; Using a compression tester to obtain the crop elastic modulus of each data acquisition object, and performing mean value calculation on the crop elastic modulus of each data acquisition object to obtain an average crop elastic modulus; Using a compression tester to test each data acquisition object to obtain brittleness data, and performing mean value calculation on the brittleness data of each data acquisition object to obtain average brittleness data; The average hardness, the average crop elastic modulus and the average brittleness data are normalized, and the crushing resistance degree is obtained according to the normalized average hardness, the normalized average crop elastic modulus and the normalized average brittleness data; Step 2: if the agricultural products are likely to be damaged, obtaining environmental data and initial packaging parameters, and evaluating the packaging deformation risk index according to the environmental data, the initial packaging parameters and the damage coefficient; Step 3: setting a risk threshold, and judging whether the agricultural products will be damaged due to packaging changes according to the packaging deformation risk index and the risk threshold; Step 4: if it is judged that the agricultural products will be damaged due to packaging changes, a warning prompt is given, and the initial packaging parameters are adjusted according to the packaging deformation risk index and the risk threshold to obtain actual packaging parameters; Step 5: generating a packaging appearance design based on the target market consumer preference, the packaging appearance design including color and pattern, and obtaining a complete packaging design according to the packaging appearance design and the actual packaging parameters.

2. The smart data-based agricultural product package design generation method of claim 1, wherein, The damage judgment step of the agricultural products according to the damage coefficient and the damage threshold is: Comparing the damage coefficient with the damage threshold, if the damage coefficient is greater than or equal to the damage threshold, it is judged that the agricultural products are likely to be damaged; if the damage coefficient is less than the damage threshold, it is judged that the agricultural products are not likely to be damaged.

3. The intelligent data-based agricultural product package design generation method according to claim 1, characterized in that: The packaging deformation risk index obtaining step is: Obtain environmental data and initial packaging parameters, the environmental data including air pressure, temperature, humidity and transportation time of the agricultural products from the sending place to the destination, and the initial packaging parameters including elastic modulus, compressive strength, thickness, sealing property, packaging volume and moisture resistance of the packaging; Obtain environmental data and initial packaging parameters, the environmental data including air pressure, temperature, humidity and transportation time of the agricultural products from the sending place to the destination, and the initial packaging parameters including elastic modulus, compressive strength, thickness, sealing property, packaging volume and moisture resistance of the packaging; Obtain environmental data and initial packaging parameters, the environmental data including air pressure, temperature, humidity and transportation time of the agricultural products from the sending place to the destination, and the initial packaging parameters including elastic modulus, compressive strength, thickness, sealing property, packaging volume and moisture resistance of the packaging; The environmental influence coefficient obtaining step is: ； wherein is expressed as a packaging deformation risk index, is expressed as an environmental impact coefficient, is expressed as an initial packaging stability coefficient, is expressed as a vulnerability coefficient, , , is expressed as a weight coefficient of the environmental impact coefficient, the initial packaging stability coefficient and the vulnerability coefficient.

4. The intelligent data-based agricultural product package design generation method of claim 3, wherein: Obtain air pressure, temperature and humidity data of the sending place and the destination; Obtain transportation time from the sending place to the destination; Obtain air pressure, temperature and humidity data of the sending place and the destination; Obtain transportation time from the sending place to the destination; 5. The intelligent data based agro-product packaging design generation method according to claim 3, wherein: The initial packaging stability coefficient obtaining step is: Obtain elastic modulus, compressive strength, thickness and packaging volume of the initial packaging through initial packaging design parameters; Obtain sealing property of the initial packaging through gas leakage method, and obtain moisture resistance of the initial packaging through moisture permeation test method; Obtain elastic modulus, compressive strength, thickness, packaging volume, sealing property and moisture resistance of the initial packaging, and obtain initial packaging stability coefficient through normalization processing of the elastic modulus, compressive strength, thickness, packaging volume, sealing property and moisture resistance of the initial packaging.

6. The intelligent data-based agricultural product package design generation method of claim 1, wherein: The step of judging whether the agricultural products will be damaged due to packaging change according to the packaging deformation risk index and the risk threshold value is: Compare the packaging deformation risk index with the risk threshold value, if the packaging deformation risk index is less than the risk threshold value, it is judged that the agricultural products will not be damaged due to packaging change; If the packaging deformation risk index is greater than or equal to the risk threshold value, it is judged that the agricultural products will be damaged due to packaging change.

7. The intelligent data-based agricultural product package design generation method according to claim 1, characterized by: The step of adjusting the initial packaging parameters according to the packaging deformation risk index and the risk threshold value to obtain actual packaging parameters is: Calculate the ratio of the packaging deformation risk index and the risk threshold value to obtain an adjustment factor; Calculate the product of the adjustment factor and the elastic modulus, compressive strength, thickness and moisture resistance of the initial packaging to obtain the elastic modulus, compressive strength, thickness and moisture resistance of the actual packaging; Calculate the ratio of the adjustment factor and the packaging volume and sealing property of the initial packaging to obtain the packaging volume and sealing property of the actual packaging; Integrate the elastic modulus, compressive strength, thickness, moisture resistance, packaging volume and sealing property of the actual packaging to obtain actual packaging parameters.

8. A smart data-based agricultural product package design generation system for implementing the smart data-based agricultural product package design generation method according to any one of claims 1-7, characterized in that: The system comprises: The damage evaluation module is used for obtaining agricultural product characteristic parameters, and obtaining a damage coefficient according to the agricultural product characteristic parameters, and judging the damage of the agricultural products according to the damage coefficient; The packaging deformation risk obtaining module is used for obtaining environmental data and initial packaging parameters when the agricultural products are prone to damage, and obtaining a packaging deformation risk index according to the environmental data, the initial packaging parameters and the damage coefficient. The agricultural product damage judgment module is configured to judge whether the packaging will damage the agricultural product according to the packaging deformation risk index. The actual packaging parameter acquisition module is configured to obtain the actual packaging parameter according to the packaging deformation risk index evaluation. The packaging design module is configured to perform packaging design according to the actual packaging parameter.

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