Agricultural product package design generation method and system based on intelligent data

Abstract

The invention relates to the field of packaging design, and discloses an agricultural product packaging design generation method and system based on intelligent data, which are used for solving the problem that agricultural products are damaged due to change of external environment and deformation of packaging during agricultural product packaging design, and comprises the following steps: collecting characteristic parameters of the agricultural products, and evaluating to obtain vulnerability coefficients; carrying out vulnerability judgment according to the vulnerability coefficient, if the vulnerability judgment result shows that the agricultural product is easily damaged, acquiring environmental data and initial packaging parameters, evaluating to obtain a packaging deformation risk index, judging whether the agricultural product is damaged due to packaging change according to the packaging deformation risk index, and if the agricultural product is damaged due to packaging change, judging whether the agricultural product is damaged due to packaging change. If yes, the initial packaging parameters are adjusted according to the packaging deformation risk index, actual packaging parameters are obtained, a complete packaging design is obtained according to the actual packaging parameters, and the safety of the agricultural products in the transportation process is effectively improved.

Description

Technical Field

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

[0002] The packaging design of agricultural products is to design a suitable packaging solution according to the physical characteristics and preservation requirements of agricultural products, including material selection, structural design, and appearance design, aiming to protect the quality and safety of agricultural products during transportation, storage, and sales, while enhancing the market attractiveness and brand value of the products, and taking into account environmental protection and economy.

[0003] Existing methods for packaging design of agricultural products generally include links such as requirement analysis, material selection, structural design, performance testing, market research, and production implementation. By selecting suitable materials and design solutions according to the types, characteristics, and storage and transportation requirements of agricultural products, functional verifications such as compression resistance, moisture protection, and freshness preservation are carried out. At the same time, the appearance is designed in combination with market preferences and finally transformed into mass production to meet the stability and efficiency requirements during transportation and storage.

[0004] For example, a design content push method disclosed in the invention patent with the publication number: 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; and the following steps: an acquisition step of acquiring the product information and geographical location information of the user; an identification step of identifying the product information of the user; a push step of pushing the style label information of the product to the user according to the product information and geographical location information; an acquisition step of acquiring the style label information selected by the user; and a matching step of 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 problems of long time, high cost, and low efficiency in the cultural and creative design of agricultural products caused by the lack of relevant design talents for agricultural products. The present invention is mainly used for online cultural and creative design of agricultural products.

[0005] For example, an information push method disclosed in the invention patent with the publication number: CN116151901A includes a database and the following steps. The database stores packaging cover information of various types of agricultural products; a statistics step of counting the number of clicks and views of the user on the packaging cover information; a list generation step of generating a trendy ranking list in descending order of the number of clicks and views of the user on the packaging cover information; and a push step of pushing the generated trendy ranking list to the user. This solves the problems that learners related to the cultural and creative design of agricultural products can learn the content of cultural and creative design online, designers can find design inspiration online, and consumers can make online comparisons and selections according to their needs. The present invention is mainly used for online push of cultural and creative design of agricultural products.

[0006] However, in the process of implementing the inventive technical solution in the embodiments of the present application, it is found that the above technologies have at least the following technical problems: In practical applications, agricultural products usually need to be transported to distant areas for sale after packaging. The existing agricultural product packaging design methods are difficult to effectively cope with complex transportation environments and changing climatic conditions. The changes in the transportation environment and climate are likely to cause packaging deformation and damage, thereby damaging the agricultural products. At the same time, traditional design methods usually rely on manual experience and lack intelligent and data-driven support, making it difficult to quickly respond to the personalized needs of specific agricultural products. Summary of the Invention

[0007] In order to overcome the above defects of the prior art, the present invention provides a method and system for generating agricultural product packaging design based on intelligent data to solve the problems existing in the above background technology.

[0008] To achieve the above object, the present invention provides the following technical solutions: A method for generating agricultural product packaging design based on intelligent data, comprising the following steps: Step 1: Collect agricultural product characteristic parameters, evaluate a vulnerability coefficient according to the agricultural product characteristic parameters, set a vulnerability threshold, and perform a vulnerability judgment on the agricultural product according to the vulnerability coefficient and the vulnerability threshold; Step 2: If the vulnerability judgment shows that the agricultural product is prone to damage, obtain environmental data and initial packaging parameters, and evaluate a packaging deformation risk index according to the environmental data, the initial packaging parameters, and the vulnerability coefficient; Step 3: Set a risk threshold, and judge 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, give a warning prompt, and adjust the initial packaging parameters according to the packaging deformation risk index and the risk threshold to obtain actual packaging parameters; Step 5: Generate a packaging appearance design based on the preferences of consumers in the target market. The packaging appearance design includes colors, patterns, etc., and obtain a complete packaging design according to the packaging appearance design and the actual packaging parameters.

[0009] Preferably, the steps for obtaining the vulnerability coefficient are as follows: Randomly select n agricultural products from the agricultural products as data acquisition objects, obtain the physical properties of each data acquisition object, calculate the average physical properties by averaging the physical properties of each data acquisition object, and evaluate the anti-extrusion degree based on the average physical properties; obtain the volume data of each data acquisition object, calculate the average volume data by averaging the volume data of each data acquisition object, and denote it as the crop volume data; measure the surface friction coefficient of each data acquisition object by the inclined plane method, calculate the average surface friction coefficient by averaging the surface friction coefficients of each data acquisition object, and denote it as the crop surface friction coefficient; normalize the anti-extrusion degree, crop volume data, and crop surface friction coefficient, and evaluate the vulnerability coefficient based on the normalized anti-extrusion degree, crop volume data, and crop surface friction coefficient. The specific acquisition steps are as follows: ; In the formula, is denoted as the vulnerability coefficient, is denoted as the anti-extrusion degree, is denoted as the crop volume data, is denoted as the crop surface friction coefficient.

[0010] Preferably, the steps for obtaining the anti-extrusion degree are as follows: Use a hardness tester to measure the hardness of each data acquisition object, and calculate the average hardness by averaging the measurement results of each data acquisition object; use a compression tester to obtain the crop elastic modulus of each data acquisition object, and calculate the average crop elastic modulus by averaging the elastic moduli of the crops of each data acquisition object; use a compression tester to test each data acquisition object to obtain brittle data, and calculate the average brittle data by averaging the brittle data of each data acquisition object; normalize the average hardness, average crop elastic modulus, and average brittle data, and obtain the anti-extrusion degree based on the normalized average hardness, average crop elastic modulus, and average brittle data.

[0011] Preferably, the steps for judging the vulnerability of agricultural products according to the vulnerability coefficient and the vulnerability threshold are as follows: Compare the vulnerability coefficient with the vulnerability threshold. If the vulnerability coefficient is greater than or equal to the vulnerability threshold, it is judged that the agricultural product is likely to be damaged; if the vulnerability coefficient is less than the vulnerability threshold, it is judged that the agricultural product is not likely to be damaged.

[0012] Preferably, the steps for obtaining the packaging deformation risk index are as follows: Obtain environmental data and initial packaging parameters. The environmental data includes the air pressure, temperature, humidity, and transportation time required from the place where the agricultural products are sent to the destination. The initial packaging parameters include the elastic modulus, compressive strength, thickness, sealing performance, packaging volume, and moisture resistance of the packaging; Evaluate the environmental impact coefficient based on the environmental data; Evaluate the initial packaging stability coefficient based on the initial packaging parameters; Normalize the environmental impact coefficient, the initial packaging stability coefficient, and the vulnerability coefficient, and evaluate the packaging deformation risk index based on the normalized environmental impact coefficient, initial packaging stability coefficient, and vulnerability coefficient. The specific obtaining steps are as follows: ; In the formula, is expressed as the packaging deformation risk index, is expressed as the environmental impact coefficient, is expressed as the initial packaging stability coefficient, is expressed as the vulnerability coefficient, , , are expressed as the weight coefficients of the environmental impact coefficient, the initial packaging stability coefficient, and the vulnerability coefficient.

[0013] Preferably, the steps for obtaining the environmental impact coefficient are as follows: Obtain the air pressure, temperature, and humidity data of the place where the products are sent and the destination; Obtain the transportation time required from the place where the products are sent to the destination; Normalize the air pressure, temperature, humidity data, and transportation time required, and evaluate the environmental impact coefficient based on the normalized air pressure, temperature, humidity data, and transportation time required.

[0014] Preferably, the steps for obtaining the initial packaging stability coefficient are as follows: Obtain the elastic modulus, compressive strength, thickness, and packaging volume of the initial packaging through the initial packaging design parameters; Obtain the sealing performance of the initial packaging through the gas leakage method, and obtain the moisture resistance of the initial packaging through the moisture permeability test method; Normalize the elastic modulus, compressive strength, thickness, packaging volume, sealing performance, and moisture resistance of the initial packaging, and evaluate the initial packaging stability coefficient based on the normalized elastic modulus, compressive strength, thickness, packaging volume, sealing performance, and moisture resistance of the initial packaging.

[0015] Preferably, the steps for judging whether the agricultural products will be damaged due to packaging changes based on the packaging deformation risk index and the risk threshold are as follows: Compare 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 changes; 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 changes.

[0016] 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 as follows: calculating the ratio of the packaging deformation risk index to the risk threshold to obtain an adjustment factor; multiplying the adjustment factor by the elastic modulus, compressive strength, thickness, and moisture resistance of the initial packaging respectively to obtain the elastic modulus, compressive strength, thickness, and moisture resistance of the actual packaging; calculating the ratio of the packaging volume and tightness of the initial packaging to the adjustment factor respectively to obtain the packaging volume and tightness of the actual packaging; integrating the elastic modulus, compressive strength, thickness, moisture resistance, packaging volume, and tightness of the actual packaging to obtain the actual packaging parameters.

[0017] Preferably, for the agricultural product packaging design generation system based on intelligent data, the system includes: a vulnerability assessment module, configured to obtain the agricultural product characteristic parameters, evaluate a vulnerability coefficient according to the agricultural product characteristic parameters, and perform a vulnerability judgment on the agricultural product according to the vulnerability coefficient; a packaging deformation risk acquisition module, configured to obtain environmental data and initial packaging parameters in the case where the agricultural product is likely to be damaged, and evaluate a packaging deformation risk index according to the environmental data, the initial packaging parameters, and the vulnerability 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 the actual packaging parameters according to the packaging deformation risk index; and a packaging design module, which performs packaging design according to the actual packaging parameters.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Collecting the agricultural product characteristic parameters, evaluating the vulnerability coefficient according to the agricultural product characteristic parameters, setting a vulnerability threshold, and performing a vulnerability judgment on the agricultural product according to the vulnerability coefficient and the vulnerability threshold helps to accurately identify the protection needs of different agricultural products. Such a method can scientifically quantify the vulnerability of agricultural products based on their physical characteristics and environmental adaptability, providing a clear basis for packaging design. By comparing the vulnerability coefficient with the threshold, personalized optimization of packaging design can be achieved, effectively avoiding the cost increase caused by over-packaging, ensuring the quality and safety of agricultural products during transportation and storage, and improving the efficiency and reliability of packaging design.

[0019] 2. If it is judged that the agricultural product is likely to be damaged during the vulnerability judgment, obtain the environmental data and the initial packaging parameters, and evaluate the packaging deformation risk index according to the environmental data, the initial packaging parameters, and the vulnerability coefficient, comprehensively considering the multiple influences of agricultural product characteristics, packaging design, and environmental conditions, 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.

[0020] 3. Set a risk threshold, and judge whether the agricultural products will be damaged due to packaging changes according to the packaging deformation risk index and the risk threshold. It can combine the characteristics of agricultural products, packaging parameters and environmental conditions to scientifically evaluate the safety and applicability of the packaging. By setting the risk threshold, ensure 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 at the same time significantly reduce the loss rate of agricultural products during transportation and storage, providing a reliable basis for the whole-process quality guarantee of agricultural products.

[0021] 4. If it is judged that the agricultural products will be damaged due to packaging changes, give a warning prompt, and adjust the initial packaging parameters according to the packaging deformation risk index and the risk threshold to obtain the actual packaging parameters. It can quickly identify potential risks and timely prompt designers to take targeted improvement measures to ensure that the packaging adapts to the specific characteristics of agricultural products and the transportation environment. By adjusting parameters such as elastic modulus, compressive strength, and sealing performance, generate a safer and more reliable packaging solution, which not only effectively avoids the damage of agricultural products due to packaging failure, but also optimizes resource utilization, reduces over-design and unnecessary cost investment, and improves the scientificity and practicality of packaging design. Description of the Drawings

[0022] Figure 1 It is a flowchart of the method for generating an agricultural product packaging design based on intelligent data provided by an embodiment of the present application.

[0023] Figure 2 It is a schematic diagram of the fluctuation trend of each vital sign in an embodiment of the present application.

[0024] Figure 3 It is a structural diagram of the system for generating an agricultural product packaging design based on intelligent data provided by an embodiment of the present application. Detailed Embodiment

[0025] Next, the technical solutions in the present invention will be clearly and completely described in conjunction with the drawings in the present invention. In addition, the forms of each structure described in the following embodiments are only examples, and the method and system for generating an agricultural product packaging design based on intelligent data involved in the present invention are not limited to the structures described in the following embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0026] The present invention provides a method for generating an agricultural product packaging design based on intelligent data, as Figure 1 shown, including the following steps: Step 1: Collect the characteristic parameters of agricultural products, evaluate the vulnerability coefficient based on the characteristic parameters of agricultural products, set the vulnerability threshold, and perform vulnerability judgment on agricultural products according to the vulnerability coefficient and the vulnerability threshold; In this embodiment, it should be specifically noted that the steps for obtaining the vulnerability coefficient are as follows: Randomly select n agricultural products from the agricultural products as data acquisition objects, obtain the physical characteristics of each data acquisition object, calculate the average physical characteristics by averaging the physical characteristics of each data acquisition object, and evaluate the anti-extrusion degree based on the average physical characteristics; Obtain the volume data of each data acquisition object, calculate the average volume data by averaging the volume data of each data acquisition object, and denote it as the volume data of agricultural crops; Measure the surface friction coefficient of each data acquisition object by the inclined plane method, calculate the average surface friction coefficient by averaging the surface friction coefficients of each data acquisition object, and denote it as the surface friction coefficient of agricultural crops; 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 when the object just starts to slide on an inclined plane with an adjustable inclination angle. The specific steps are to place the object to be measured (such as agricultural products) on the inclined plane, gradually increase the inclination angle of the inclined plane until the object just overcomes the static friction and starts to slide, record the inclination angle at this time, and calculate the surface friction coefficient through the formula It is simple and efficient to calculate the surface friction coefficient, and is suitable for evaluating the stacking stability and anti-slip performance of agricultural products in transportation or packaging scenarios.

[0027] Normalize the anti-extrusion degree, the volume data of agricultural crops, and the surface friction coefficient of agricultural crops, and evaluate the vulnerability coefficient based on the normalized anti-extrusion degree, the volume data of agricultural crops, and the surface friction coefficient of agricultural crops. The specific acquisition steps are as follows: ; In the formula, represents the vulnerability coefficient, represents the anti-extrusion degree, reflecting its surface compressive ability. The higher the anti-extrusion degree, the less vulnerable the agricultural product is, represents the volume data of agricultural crops, reflecting its size. The larger the volume, the more evenly the pressure is distributed per unit area, and the less vulnerable it is, represents the surface friction coefficient of agricultural crops, reflecting its stability during stacking and transportation. The higher the friction coefficient, the stronger the stacking stability and the less vulnerable it is.

[0028] In this embodiment, it should be specifically noted that the steps for obtaining the anti-extrusion degree are as follows: Use a hardness tester to measure the hardness of each data acquisition object, and calculate the average hardness by averaging the measurement results of each data acquisition object; A durometer is an instrument used to measure the surface hardness of materials. By testing the resistance of the object's surface to the indenter, its compressive or anti-deformation ability is evaluated. In the measurement of crop hardness, a Shore durometer or an indentation hardness tester is usually used. These devices apply a certain pressure to the crop surface using a spherical or conical probe, and calculate the hardness based on the indentation depth or the required pressure value.

[0029] Use a compression tester to place each data acquisition object between the two pressure plates of the compression tester, slowly apply pressure, record the deformation amount and the corresponding pressure value, and calculate the elastic modulus of the crop based on the deformation amount and the corresponding pressure value. Then calculate the average crop elastic modulus by taking the average of the crop elastic moduli of each data acquisition object. The specific steps for obtaining the crop elastic modulus are as follows: ; In the formula, is the elastic modulus of the crop, is the applied force, is the contact area, is the deformation amount, is the original length; A compression tester is a device used to measure the compressive strength, deformation behavior, and elastic modulus of materials under compressive stress. By applying a vertical pressure, the mechanical properties of the object are evaluated. In crop testing, a compression tester usually consists of two parallel upper and lower pressure plates. Place the crop sample between them, gradually apply pressure and record the force and deformation amount generated during compression, and finally calculate the compressive strength and elastic modulus.

[0030] Use a compression tester to test each data acquisition object, slowly increase the pressure until the surface or structure of the data acquisition object breaks, record the pressure value and the deformation amount at the time of rupture, and calculate the brittleness data based on the pressure value and the deformation amount at the time of rupture. Then calculate the average brittleness data by taking the average of the brittleness data of each data acquisition object. The specific steps for obtaining the brittleness data are as follows: ; In the formula represents the brittleness data, represents the pressure value at the time of rupture, represents the deformation amount; Table 1 Brittleness data values of data acquisition objects

[0031] As shown in Table 1, in a specific embodiment, by recording and analyzing the pressure value, deformation amount, and brittleness data of the data acquisition object, the deformation and rupture characteristics of different data acquisition objects under pressure can be discovered. For example, the brittleness data of data acquisition object 2 is relatively high, indicating that it can rupture under a relatively small deformation amount, showing higher brittleness. While the brittleness data of data acquisition object 3 is relatively low, indicating that it will rupture under a relatively large deformation amount, showing lower brittleness. These test data can reflect the differences in the deformation and rupture characteristics of the same kind of crop under force, and provide a scientific basis for evaluating the packaging design requirements of the crop. By analyzing these characteristics, the packaging materials and structures can be optimized to effectively reduce the damage risk of the crop during transportation and storage.

[0032] Normalize the average hardness, average crop elastic modulus, and average brittleness data, and obtain the anti-extrusion degree based on the normalized average hardness, average crop elastic modulus, and average brittleness data. The specific acquisition steps are as follows: ; In the formula, represents the anti-extrusion degree, represents the average hardness, which reflects the resistance of the crop surface to the indenter. The greater the average hardness, the stronger the anti-extrusion ability of the crop, and the less likely it is to be damaged due to external extrusion. represents the average crop elastic modulus. The elastic modulus reflects the ratio of stress to strain in the elastic deformation stage of the material, reflecting the rigidity of the material. The higher the elastic modulus, the less likely the material is to deform, and the stronger the anti-extrusion ability. represents the average brittleness data, which reflects the degree of easy fragmentation of the material under external force. The higher the brittleness, the weaker the anti-extrusion ability.

[0033] In this embodiment, it should be specifically noted that the steps for judging the vulnerability of agricultural products according to the vulnerability coefficient and vulnerability threshold are as follows: Compare the vulnerability coefficient with the vulnerability threshold. If the vulnerability coefficient is greater than or equal to the vulnerability threshold, it is judged that the agricultural product is likely to be damaged; if the vulnerability coefficient is less than the vulnerability threshold, it is judged that the agricultural product is not likely to be damaged.

[0034] Step 2: If it is judged that the vulnerable agricultural product is likely to be damaged, obtain the environmental data and initial packaging parameters, and evaluate the packaging deformation risk index based on the environmental data, initial packaging parameters, and vulnerability coefficient; In this embodiment, it should be specifically noted that the steps for obtaining the packaging deformation risk index are as follows: Obtain environmental data and initial packaging parameters. The environmental data includes the air pressure, temperature, humidity, and transportation time required between the place where the agricultural products are sent and the destination. The initial packaging parameters include the elastic modulus, compressive strength, thickness, sealing performance, packaging volume, and moisture resistance of the packaging; Evaluate the environmental impact coefficient based on the environmental data; Evaluate the initial packaging stability coefficient based on the initial packaging parameters; Normalize the environmental impact coefficient, the initial packaging stability coefficient, and the vulnerability coefficient, and evaluate the packaging deformation risk index based on the normalized environmental impact coefficient, initial packaging stability coefficient, and vulnerability coefficient. The specific acquisition steps are as follows: ; In the formula, represents the packaging deformation risk index, represents the environmental impact coefficient. The packaging deformation risk increases with the adverse changes in environmental conditions, that is, the harsher the environment, the more easily the packaging is affected. For example, in a transportation route with large air pressure changes, a highly sealed packaging may expand or contract due to the internal and external pressure difference; during long-distance transportation, continuous vibration or multiple impacts will accumulate material fatigue and reduce the packaging stability. Therefore, an increase in the environmental impact coefficient means that the packaging needs higher adaptability and strength to cope with external conditions, otherwise the deformation risk index will increase accordingly, which may lead to damage to agricultural products or packaging failure, represents the initial packaging stability coefficient. The higher the packaging stability, the lower the risk of deformation under complex transportation and storage conditions. The initial packaging stability coefficient reflects the comprehensive compressive and anti-deformation capabilities of the packaging material and structure. When the initial stability coefficient is high, the packaging can better maintain its shape and function, reducing the risk of damage to the internal agricultural products. On the contrary, if the initial stability coefficient is low, the packaging may easily have problems such as cracking, expansion, or contraction, resulting in an increase in the packaging deformation risk index, represents the vulnerability coefficient. The vulnerability coefficient comprehensively reflects factors such as the physical properties, surface properties, and dimensions of agricultural products. For example, agricultural products with a high vulnerability coefficient have a brittle or soft epidermis and are prone to damage such as cracking and extrusion deformation when the packaging is compressed or deformed. In this case, even a slight deformation of the packaging may have a greater impact on the quality of agricultural products. Therefore, agricultural products with a high vulnerability require a more stable packaging design to reduce the risk of damage during transportation and storage. On the contrary, for agricultural products with a low vulnerability coefficient, even if the packaging is deformed to a certain extent, the product integrity can be maintained, and the deformation risk index is relatively low, 、 、 represent the weight coefficients of the environmental impact coefficient, the initial packaging stability coefficient, and the vulnerability coefficient, and , , , The specific values are determined by professionals according to the actual situation. For example, , , they can be 0.5, 0.3, 0.2.

[0035] In this embodiment, it should be specifically noted that the steps for obtaining the environmental impact coefficient are as follows: Obtain the air pressure, temperature, and humidity data of the departure place and the destination place from the meteorological service platform in real time; Obtain the transportation time required from the departure place to the destination place according to the transportation distance and mode; Normalize the air pressure, temperature, humidity data, and the transportation time required. Evaluate and obtain the environmental impact coefficient based on the normalized air pressure, temperature, humidity data, and the transportation time required. The specific obtaining steps are as follows: ; In the formula, represents the environmental impact coefficient, is the air pressure at the departure place, is the air pressure at the destination place, is the temperature at the departure place, is the temperature at the destination place, is the humidity at the departure place, is the humidity at the destination place, is the transportation time required.

[0036] In this embodiment, it should be specifically noted that the steps for obtaining the initial packaging stability coefficient are as follows: Obtain the elastic modulus, compressive strength, thickness, and packaging volume of the initial packaging through the initial packaging design parameters; Obtain the sealing performance of the initial packaging through the gas leakage method, and obtain the moisture-proof performance of the initial packaging through the moisture permeability test method; The gas leakage method is an experimental method for evaluating the sealing performance of packaging by measuring the gas leakage rate inside the packaging. Place the packaging in a high-pressure or low-pressure environment, and use gas leakage detection equipment to measure the amount of gas escaping from inside the packaging or the change in internal pressure per unit time. The lower the leakage rate, the higher the sealing performance. This method is applicable to evaluating packaging types with high sealing requirements such as vacuum packaging and modified atmosphere packaging.

[0037] The moisture permeability test method is an experimental method used to evaluate the moisture-proof performance of packaging materials. It calculates the moisture permeability performance by measuring the amount of water vapor passing through the material per unit time. The specific operation is to maintain a constant humidity (such as a saturated water vapor environment) on one side of the material, and keep the other side dry or at a low humidity condition, and record the change in the mass of water vapor passing through the material over a period of time, usually expressed as the moisture permeability per unit area per day. The lower the moisture permeability, the better the moisture-proof property of the material. This method is widely used in the moisture-proof performance testing of food packaging and agricultural product packaging materials.

[0038] Normalize the elastic modulus, compressive strength, thickness, packaging volume, sealing performance, and moisture-proof property of the initial packaging, and evaluate the initial packaging stability coefficient based on the normalized elastic modulus, compressive strength, thickness, packaging volume, sealing performance, and moisture-proof property of the initial packaging. The specific acquisition steps are as follows: ; 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-proof property, represents the sealing performance, represents the packaging volume.

[0039] Step 3: Set the risk threshold, and judge whether the agricultural products will be damaged due to packaging changes according to the packaging deformation risk index and the risk threshold; In this embodiment, it should be specifically noted that the steps to judge whether the agricultural products will be damaged due to packaging changes according to the packaging deformation risk index and the risk threshold are as follows: Compare 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 changes; 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 changes.

[0040] Step 4: If it is judged that the agricultural products will be damaged due to packaging changes, give a warning prompt to remind the packaging designers that the current packaging is not suitable for this batch of agricultural products, and adjust the initial packaging parameters according to the packaging deformation risk index and the risk threshold to obtain the actual packaging parameters; In this embodiment, it should be specifically noted that the steps to adjust the initial packaging parameters according to the packaging deformation risk index and the risk threshold to obtain the actual packaging parameters are as follows: Calculate the ratio of the packaging deformation risk index to the risk threshold to obtain an adjustment factor; Multiply the adjustment factors by the elastic modulus, compressive strength, thickness, and moisture resistance of the initial packaging respectively to obtain the elastic modulus, compressive strength, thickness, and moisture resistance of the actual packaging; Divide the packaging volume and tightness of the initial packaging by the adjustment factor respectively to obtain the packaging volume and tightness of the actual packaging; Integrate the elastic modulus, compressive strength, thickness, moisture resistance, packaging volume, and tightness of the actual packaging to obtain the actual packaging parameters.

[0041] Step 5: Generate a packaging appearance design based on the preferences of consumers in the target market, including colors, patterns, brand information, etc., and obtain a complete packaging design based on the packaging appearance design and the actual packaging parameters.

[0042] In this embodiment, it should be specifically noted that, as Figure 3 shown, the agricultural product packaging design generation system based on intelligent data includes: A vulnerability assessment module, which is used to obtain the characteristic parameters of agricultural products, evaluate the vulnerability coefficient based on the characteristic parameters of agricultural products, and make a vulnerability judgment on agricultural products according to the vulnerability coefficient; A packaging deformation risk acquisition module, which is used to obtain environmental data and initial packaging parameters in the case where agricultural products are likely to be damaged, and evaluate the packaging deformation risk index based on the environmental data, initial packaging parameters, and vulnerability coefficient; An agricultural product damage judgment module, which is used to judge whether the packaging will damage agricultural products according to the packaging deformation risk index; An actual packaging parameter acquisition module, which is used to evaluate the actual packaging parameters according to the packaging deformation risk index; A packaging design module, which conducts packaging design according to the actual packaging parameters.

[0043] Finally: The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

[0044] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, and all of them should be covered by the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claimed rights.

Claims

1. A method for generating agricultural product packaging design based on intelligent data, characterized in that: The following steps are involved: Step 1: Collect characteristic parameters of agricultural products, evaluate the vulnerability coefficient based on the characteristic parameters of agricultural products, set the vulnerability threshold, and make a vulnerability judgment on agricultural products based on the vulnerability coefficient and the vulnerability threshold; Step 2: If the agricultural product is prone to damage, the environmental data and initial packaging parameters are obtained, and the packaging deformation risk index is obtained based on the environmental data, initial packaging parameters and the fragility coefficient; Step 3: Set a risk threshold and determine whether agricultural products will be damaged due to packaging changes based on the packaging deformation risk index and the risk threshold; Step 4: If it is determined that the agricultural products will be damaged due to packaging changes, an early warning prompt is issued, 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: Generate a packaging design based on target market consumer preferences, wherein the packaging design includes color and pattern, etc., and obtain a complete packaging design based on the packaging design and actual packaging parameters.

2. The method for generating agricultural product packaging design based on intelligent data according to claim 1, characterized in that: The steps for obtaining the vulnerability coefficient are: Randomly select n agricultural products from the agricultural products as data acquisition objects, obtain the physical properties of each data acquisition object, calculate the average of the physical properties of each data acquisition object to obtain the average physical properties, and evaluate the degree of anti-extrusion according to the average physical properties; Acquire volume data of each data acquisition object, perform mean calculation on the volume data of each data acquisition object to obtain average volume data, which is recorded as crop volume data; The surface friction coefficient of each data acquisition object is measured by the inclined plane method, and the surface friction coefficient of each data acquisition object is averaged to obtain the average surface friction coefficient, which is recorded as the crop surface friction coefficient; The degree of anti-extrusion, crop volume data and crop surface friction coefficient are normalized, and the vulnerability coefficient is obtained based on the normalized degree of anti-extrusion, crop volume data and crop surface friction coefficient. The specific acquisition steps are as follows: ； In the formula, Expressed as the vulnerability coefficient, Expressed as the degree of resistance to extrusion, Represented as crop volume data, Expressed as the coefficient of friction on the crop surface.

3. The method for generating agricultural product packaging design based on intelligent data according to claim 2, characterized in that: The steps for obtaining the degree of anti-extrusion are: Using a hardness tester to measure the hardness of each data acquisition object, and calculating the average of the measurement results of each data acquisition object to obtain an average hardness; Using a compression tester to obtain the elastic modulus of the crop of each data acquisition object, and calculating the average elastic modulus of the crop 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 calculation on the brittleness data of each data acquisition object to obtain average brittleness data; The average hardness, average crop elastic modulus and average brittleness data are normalized, and the degree of anti-extrusion is obtained based on the normalized average hardness, average crop elastic modulus and average brittleness data.

4. The method for generating agricultural product packaging design based on intelligent data according to claim 1, characterized in that: The steps of determining the vulnerability of agricultural products according to the vulnerability coefficient and the vulnerability threshold are as follows: The vulnerability coefficient is compared with the vulnerability threshold. If the vulnerability coefficient is greater than or equal to the vulnerability threshold, it is judged that the agricultural products are prone to damage; if the vulnerability coefficient is less than the vulnerability threshold, it is judged that the agricultural products are not prone to damage.

5. The method for generating agricultural product packaging design based on intelligent data according to claim 1, characterized in that: The steps for obtaining the packaging deformation risk index are as follows: Obtain environmental data and initial packaging parameters. Environmental data includes the air pressure, temperature, humidity and transportation time of the agricultural products’ origin and destination. Initial packaging parameters include the elastic modulus, compressive strength, thickness, sealing, packaging volume and moisture resistance of the packaging. Obtain environmental impact coefficients based on environmental data assessment; The initial packaging stability coefficient is obtained according to the initial packaging parameter evaluation; The environmental impact coefficient, initial packaging stability coefficient and fragility coefficient are normalized, and the packaging deformation risk index is obtained according to the normalized environmental impact coefficient, initial packaging stability coefficient and fragility coefficient. The specific acquisition steps are as follows: ； In the formula, Expressed as the packaging deformation risk index, Expressed as the environmental impact coefficient, Expressed as the initial packaging stability coefficient, Expressed as the vulnerability coefficient, , , It is expressed as the weight coefficient of the environmental impact coefficient, the initial packaging stability coefficient and the fragility coefficient.

6. The method for generating agricultural product packaging design based on intelligent data according to claim 5 is characterized in that: The steps for obtaining the environmental impact coefficient are: Obtain the air pressure, temperature and humidity data of the origin and destination; Get the time required for transportation from the place of origin to the place of destination; The air pressure, temperature, humidity data and the time required for transportation are normalized, and the environmental impact coefficient is evaluated based on the normalized air pressure, temperature, humidity data and the time required for transportation.

7. The method for generating agricultural product packaging design based on intelligent data according to claim 5, characterized in that: The steps for obtaining the initial packaging stability coefficient are: Obtaining elastic modulus, compressive strength, thickness and packaging volume of the initial packaging through initial packaging design parameters; The airtightness of the initial packaging is obtained by the gas leakage method, and the moisture resistance of the initial packaging is obtained by the moisture permeability test method; The elastic modulus, compressive strength, thickness, packaging volume, sealing and moisture resistance of the initial packaging are normalized, and the initial packaging stability coefficient is evaluated based on the elastic modulus, compressive strength, thickness, packaging volume, sealing and moisture resistance of the normalized initial packaging.

8. The method for generating agricultural product packaging design based on intelligent data according to claim 1, characterized in that: The steps of judging whether agricultural products will be damaged due to packaging changes based on the packaging deformation risk index and the risk threshold are as follows: Compare the packaging deformation risk index 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 judged that the agricultural products will be damaged due to packaging changes.

9. The method for generating agricultural product packaging design based on intelligent data according to claim 1, characterized in that: The steps of adjusting the initial packaging parameters according to the packaging deformation risk index and the risk threshold to obtain the actual packaging parameters are: The adjustment factor is calculated by calculating the ratio of the packaging deformation risk index to the risk threshold; The adjustment factor is respectively multiplied with the elastic modulus, compressive strength, thickness and moisture resistance of the initial package to obtain the elastic modulus, compressive strength, thickness and moisture resistance of the actual package; The packaging volume and sealing performance of the initial packaging are calculated by ratio with the adjustment factor to obtain the packaging volume and sealing performance of the actual packaging; The elastic modulus, compressive strength, thickness, moisture resistance, packaging volume and sealing of the actual packaging are integrated to obtain the actual packaging parameters.

10. A system for generating agricultural product packaging design based on intelligent data, used to implement the method for generating agricultural product packaging design based on intelligent data according to any one of claims 1 to 9, characterized in that: The system comprises: A vulnerability assessment module is used to obtain characteristic parameters of agricultural products, obtain vulnerability coefficients based on the characteristic parameters of agricultural products, and make vulnerability judgments on agricultural products based on the vulnerability coefficients; The packaging deformation risk acquisition module is used to obtain environmental data and initial packaging parameters when agricultural products are prone to damage, and obtain the packaging deformation risk index based on the environmental data, initial packaging parameters and vulnerability coefficient evaluation; The agricultural product damage judgment module is used to judge whether the packaging will damage the agricultural products based on the packaging deformation risk index; An actual packaging parameter acquisition module is used to obtain actual packaging parameters according to the packaging deformation risk index assessment; Packaging design module, which performs packaging design based on actual packaging parameters.

Images