Dietary nutritional ingredient determination method, system and equipment

By obtaining and analyzing the spectral curve to calculate the deviation coefficient and quantifying the stirring effect, the stratification problem caused by uneven stirring in the determination of dietary nutritional components is solved, and the rationality and accuracy of the measurement results are improved.

CN120064156AInactive Publication Date: 2025-05-30山东阳平食品有限公司
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Patent Information

Application Number
CN202510284382.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-11
Publication Date
2025-05-30
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the prior art, manual observation is used to judge that the measurement results of dietary nutritional components are inaccurate, and there is a stratification phenomenon caused by uneven stirring, which affects the rationality of the measurement results.

Method used

By obtaining the standard spectral curve and the target spectral curve of the initial sampling product, the deviation coefficient, overall deviation degree, stirring effect coefficient and component separation coefficient are calculated, and the sampling is corrected to quantify the stirring effect and improve the rationality of the measurement.

Benefits of technology

The stirring effect is objectively quantified, the rationality and accuracy of dietary nutritional components are improved, and the stability of product quality is ensured.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of nutritional ingredient determination, in particular to a dietary nutritional ingredient determination method, system and equipment, and the method comprises the following steps: obtaining a standard spectrum curve and target spectrum curves corresponding to initial sampling products at different preset depths; determining a deviation coefficient corresponding to each dietary nutritional ingredient in each initial sampling product, and determining an overall deviation degree corresponding to each initial sampling product; determining an initial stirring effect coefficient and an initial component separation coefficient; different preset depths are corrected, product sampling is carried out based on the corrected depth corresponding to the preset depth corresponding to each initial sampling product, and the overall deviation degree corresponding to the target product corresponding to each initial sampling product is determined; and determining a target layered stirring effect, and determining the dietary nutritional ingredients based on the target layered stirring effect. According to the invention, the determination of the dietary nutritional ingredients is realized, and the rationality of the determination of the dietary nutritional ingredients is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of nutritional component determination, and particularly relates to a method, a system and a device for determining dietary nutritional components. Background Art

[0002] During the food production process, it is often necessary to determine dietary nutritional components. For example, it is often necessary to determine the dietary nutritional components in meal replacement powder to evaluate the quality of the meal replacement powder. Among them, meal replacement powder refers to a kind of food that can replace part or all of the regular meals after raw material treatment, mixing and granulation of food materials.

[0003] In order to improve the accuracy of determining different dietary nutritional components, during the determination of dietary nutritional components, it is often necessary to stir the product evenly. Currently, it is often judged whether the product is stirred evenly by manual observation. However, when judging the even stirring by manual observation, the judgment result is often affected by subjective factors, resulting in poor rationality of the even stirring judgment. It may cause stratification of the stirred product due to uneven stirring, resulting in differences in the determination results of dietary nutritional components, and thus poor rationality of the determination of dietary nutritional components. Summary of the Invention

[0004] In order to solve the technical problem of poor rationality in the determination of dietary nutritional components, the present invention provides a method, a system and a device for determining dietary nutritional components.

[0005] In a first aspect, the present invention provides a method for determining dietary nutritional components, the method comprising:

[0006] Obtaining a standard spectral curve and target spectral curves corresponding to initial sampling products at different preset depths;

[0007] According to the standard spectral curve and the target spectral curves corresponding to each initial sampling product, determining a deviation coefficient corresponding to each dietary nutritional component in each initial sampling product, and determining an overall deviation degree corresponding to each initial sampling product;

[0008] Determining an initial stirring effect coefficient according to the differences between the deviation coefficients corresponding to different dietary nutritional components in all initial sampling products;

[0009] Determining an initial component separation coefficient according to the initial stirring effect coefficient and the deviation coefficients corresponding to preset main nutritional components in different initial sampling products, wherein the preset main nutritional components are screened dietary nutritional components;

[0010] According to the initial component separation coefficient, different preset depths are corrected, and product sampling is performed based on the corrected depths corresponding to the preset depths of each initial sampling product to obtain the target product corresponding to each initial sampling product, and the overall deviation degree corresponding to the target product corresponding to each initial sampling product is determined;

[0011] According to the difference between the initial sampling product and the overall deviation degree corresponding to its corresponding target product, the target layering stirring effect is determined, and the dietary nutrient components are measured based on the target layering stirring effect.

[0012] Combined with the above first aspect, in a possible implementation manner, the determining the deviation coefficient corresponding to each dietary nutrient component in each initial sampling product according to the standard spectral curve and the target spectral curve corresponding to each initial sampling product includes:

[0013] According to the standard spectral curve, the standard content corresponding to each dietary nutrient component is determined;

[0014] According to the target spectral curve corresponding to each initial sampling product, the actual content corresponding to each dietary nutrient component in each initial sampling product is determined;

[0015] According to the difference between the actual content corresponding to each dietary nutrient component in each initial sampling product and its corresponding standard content, the deviation coefficient corresponding to each dietary nutrient component in each initial sampling product is determined.

[0016] Combined with the above first aspect, in a possible implementation manner, the determining the overall deviation degree corresponding to each initial sampling product includes:

[0017] The mean value of the deviation coefficients corresponding to all dietary nutrient components in each initial sampling product is determined as the overall deviation degree corresponding to each initial sampling product.

[0018] Combined with the above first aspect, in a possible implementation manner, the determining the initial stirring effect coefficient according to the difference between the deviation coefficients corresponding to different dietary nutrient components in all initial sampling products includes:

[0019] All initial sampling products are sorted in ascending order according to the preset depths corresponding to different initial sampling products;

[0020] The dietary nutrient components with corresponding actual content not equal to 0 are screened out from each initial sampling product as the actually existing components, the set of actually existing components corresponding to each initial sampling product is obtained, and the number of actually existing components in the set of actually existing components corresponding to each initial sampling product is determined as the component existence number corresponding to each initial sampling product;

[0021] The absolute value of the difference between the existing quantities of the components corresponding to every two adjacent initial sampling products is determined as the target quantity difference between every two adjacent initial sampling products;

[0022] According to the target quantity difference between every two adjacent initial sampling products and the difference between the deviation coefficients corresponding to different dietary nutrients in every two adjacent initial sampling products, the nutrient content comparison coefficient between every two adjacent initial sampling products is determined;

[0023] According to the nutrient content comparison coefficients between all adjacent initial sampling products, the initial stirring effect coefficient is determined.

[0024] Combined with the first aspect above, in a possible implementation manner, the formula corresponding to the nutrient content comparison coefficient between two adjacent initial sampling products and the formula corresponding to the initial stirring effect coefficient are respectively:

[0025]

[0026] where, L i,i+1 is the nutrient content comparison coefficient between the i-th initial sampling product and the (i + 1)-th initial sampling product; X is the initial stirring effect coefficient; i is the serial number of the initial sampling product; R i,i+1 is the target quantity difference between the i-th initial sampling product and the (i + 1)-th initial sampling product; N is the number of different dietary nutrients; j is the serial number of the dietary nutrient; || is the absolute value function; θ ij is the deviation coefficient corresponding to the j-th dietary nutrient in the i-th initial sampling product; θ i+1,j is the deviation coefficient corresponding to the j-th dietary nutrient in the (i + 1)-th initial sampling product; norm() is the normalization function; n is the number of initial sampling products; L is the mean value of the nutrient content comparison coefficients between all adjacent initial sampling products.

[0027] Combined with the first aspect above, in a possible implementation manner, the determining the initial component separation coefficient according to the initial stirring effect coefficient and the deviation coefficients corresponding to the preset main nutrients in different initial sampling products includes:

[0028] Screen out the preset main nutrient with the largest corresponding deviation coefficient from each initial sampling product as the reference nutrient corresponding to each initial sampling product, and determine each preset main nutrient other than the reference nutrient in each initial sampling product as the secondary main nutrient;

[0029] The proportion of the deviation coefficient corresponding to the reference nutrient component of each initial sampled product in the sum of the deviation coefficients corresponding to all its preset major nutrient components is determined as the relative major deviation coefficient corresponding to each initial sampled product;

[0030] According to the difference between the relative major deviation coefficients corresponding to every two adjacent initial sampled products, and the difference between the deviation coefficients corresponding to the sub-major nutrient components in every two adjacent initial sampled products, determine the target increase coefficient between every two adjacent initial sampled products;

[0031] According to the target increase coefficients between all adjacent initial sampled products, and the initial stirring effect coefficient, determine the initial component separation coefficient.

[0032] Combined with the above first aspect, in a possible implementation manner, the formula corresponding to the target increase coefficient between two adjacent initial sampled products, and the formula corresponding to the initial component separation coefficient are respectively:

[0033]

[0034] wherein, F i,i+1 is the target increase coefficient between the i-th initial sampled product and the (i + 1)-th initial sampled product; S is the initial component separation coefficient; i is the serial number of the initial sampled product; k i+1 is the relative major deviation coefficient corresponding to the (i + 1)-th initial sampled product; k i is the relative major deviation coefficient corresponding to the i-th initial sampled product; N i is the number of sub-major nutrient components in the i-th initial sampled product; c is the serial number of the sub-major nutrient component in the i-th initial sampled product; ΔD i,i+1,c characterizes the deviation difference situation between the i-th initial sampled product and the (i + 1)-th initial sampled product under the c-th sub-major nutrient component; || is the absolute value function; k i,c is the relative deviation coefficient corresponding to the c-th sub-major nutrient component in the i-th initial sampled product; k i+1,c is the relative deviation coefficient corresponding to the c-th sub-major nutrient component in the (i + 1)-th initial sampled product; γ is a preset factor greater than 0; θz i,c is the deviation coefficient corresponding to the c-th sub-major nutrient component in the i-th initial sampled product; θμ i,c is the cumulative value of the deviation coefficients corresponding to all sub-major nutrient components in the i-th initial sampled product; X is the initial stirring effect coefficient; n is the number of initial sampled products; Δh i,i+1 is the absolute value of the difference between the preset depth corresponding to the i-th initial sampled product and the preset depth corresponding to the (i + 1)-th initial sampled product.

[0035] Combined with the above first aspect, in a possible implementation manner, the formula for correcting the corresponding preset depths according to the initial component separation coefficient is as follows:

[0036] h′ i = S×Δh i,i+1 + h i ; where h′ i is the depth value obtained after correcting the preset depth corresponding to the i-th initial sampling product; i is the serial number of the initial sampling product; S is the initial component separation coefficient; Δh i,i+1 is the absolute value of the difference between the preset depth corresponding to the i-th initial sampling product and the preset depth corresponding to the (i + 1)-th initial sampling product; h i is the preset depth corresponding to the i-th initial sampling product.

[0037] In a second aspect, the present invention provides a dietary nutrient component determination system, which includes:

[0038] A spectral curve acquisition module, configured to acquire a standard spectral curve and a target spectral curve corresponding to an initial sampling product at different preset depths;

[0039] A deviation determination module, configured to determine a deviation coefficient corresponding to each dietary nutrient component in each initial sampling product and determine an overall deviation degree corresponding to each initial sampling product according to the standard spectral curve and the target spectral curve corresponding to each initial sampling product;

[0040] An initial stirring effect coefficient determination module, configured to determine an initial stirring effect coefficient according to the differences between the deviation coefficients corresponding to different dietary nutrient components in all initial sampling products;

[0041] An initial component separation coefficient determination module, configured to determine an initial component separation coefficient according to the initial stirring effect coefficient and the deviation coefficients corresponding to the preset main nutrient components in different initial sampling products, where the preset main nutrient components are the screened dietary nutrient components;

[0042] A corrected sampling determination module, configured to correct different preset depths according to the initial component separation coefficient, perform product sampling based on the corrected depths corresponding to the preset depths corresponding to each initial sampling product to obtain a target product corresponding to each initial sampling product, and determine the overall deviation degree corresponding to the target product corresponding to each initial sampling product;

[0043] A determination and component measurement module, configured to determine a target layered stirring effect according to the difference between the overall deviation degree of the initial sampling product and the overall deviation degree of its corresponding target product, and perform dietary nutrient component measurement based on the target layered stirring effect.

[0044] In a third aspect, a server is provided, including a memory and a processor. The memory is used to store executable program code, and the processor is used to call and run the executable program code from the memory, so that the device executes the method in the first aspect or any possible implementation manner of the first aspect described above.

[0045] In a fourth aspect, a computer program product is provided, which includes: computer program code, when the computer program code runs on a computer, it causes the computer to execute the method in the first aspect or any possible implementation manner of the first aspect described above.

[0046] In a fifth aspect, a dietary nutrient component measuring device is provided, which stores computer program code, and when the computer program code runs on a computer, it causes the computer to execute the method in the first aspect or any possible implementation manner of the first aspect described above.

[0047] The present invention has the following beneficial effects:

[0048] A method for measuring dietary nutrient components of the present invention realizes the measurement of dietary nutrient components, solves the technical problem of poor rationality in the measurement of dietary nutrient components, and improves the rationality of the measurement of dietary nutrient components. In the process of measuring dietary nutrient components of the present invention, multiple characteristics related to the uniform mixing of the product are comprehensively considered, such as the deviation coefficient, the overall deviation degree, the initial mixing effect coefficient, and the initial component separation coefficient, etc., so as to objectively quantify the target stratified mixing effect representing the overall mixing effect of the product, and then improve the rationality of the subsequent judgment of the uniform mixing situation of the product, thereby improving the rationality of the measurement of dietary nutrient components. Description of the Drawings

[0049] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0050] Figure 1 It is a flowchart of a method for measuring dietary nutrient components of the present invention;

[0051] Figure 2 It is a schematic diagram of the composition structure of a dietary nutrient component measurement system of the present invention;

[0052] Figure 3 It is a schematic diagram of the structure of a computer device of the present invention. Detailed Embodiments

[0053] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following will, in conjunction with the accompanying drawings and preferred embodiments, detail the specific implementation manners, structures, features and their effects of the technical solutions proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0055] The embodiments of the present invention mainly aim at the defect that during the mixing and granulation in the component determination stage of meal replacement powder production, due to uneven stirring, stratification occurs, resulting in different component ratios in the packaged products and affecting the product quality. The embodiments of the present invention detect samples of the products after stirring and granulation, analyze the stratification situation of the products after stirring according to the component determination results of multi-position samples, compare the distribution change trends of the detection results at different positions, and analyze the required stirring intensity of the products based on the obtained stratification situation, thereby improving the standard degree of the component determination results of the products in different regions, and then realizing the on-line detection of the meal replacement powder finished products, so as to improve the quality control of the products.

[0056] By taking multi-position samples of the stirred products and analyzing the equivalence of the single stirring effect based on the component determination results of the nutritional components, and adjusting the secondary sampling depth according to the changes and depth differences of the main nutritional component determination results at different positions to better cover the sampling range in the stirring device and increase the sufficiency of sampling. Finally, by comparing the differences between the previous and subsequent detection results, the stratification situation of the powdered food after stirring is obtained, and then the on-line detection of the meal replacement powder finished products is realized, the quality control of the products is improved, and the stability of product production is ensured.

[0057] Reference Figure 1 , which shows the flow of some embodiments of a method for determining dietary nutritional components of the present invention. The method for determining dietary nutritional components includes the following steps:

[0058] Step S1, obtaining a standard spectral curve and a target spectral curve corresponding to the initial sampling products at different preset depths.

[0059] Among them, the standard spectral curve can be the spectral curve of a standard product. The standard product can be a product that meets the production requirements. The preset depth can be a depth set in advance. The initial sampling products can be products sampled at different preset depths. The target spectral curve can be the spectral curve of the initial sampling products.

[0060] It should be noted that products for which different dietary nutrient components need to be measured can be placed in a cylinder, and the products in the cylinder can be stirred by a blade, and samples can be taken from the stirred products at different preset depth positions in the cylinder, so as to facilitate subsequent analysis of these sampled products. Among them, these sampled products are the initial sampled products. In addition, in order to facilitate product sampling, a sampling device can be installed. Different lengths of sampling points can be installed on the sampling device, and product sampling can be carried out through each sampling point. Here, the length can correspond one-to-one with the above-mentioned preset depth.

[0061] As an example, the spectral curve of a standard product can be obtained through an online spectral detection device as the standard spectral curve. And the spectral curves of the stirred products at different preset depths can be obtained through the online spectral detection device as the target spectral curves.

[0062] Step S2: According to the standard spectral curve and the target spectral curves corresponding to each initial sampled product, determine the deviation coefficient corresponding to each dietary nutrient component in each initial sampled product, and determine the overall deviation degree corresponding to each initial sampled product.

[0063] Among them, the dietary nutrient components can be but are not limited to: moisture, protein, fat, fiber, and amino acids.

[0064] As an example, this step may include the following steps:

[0065] The first step: According to the above standard spectral curve, determine the standard content corresponding to each dietary nutrient component.

[0066] Among them, the standard content corresponding to the dietary nutrient component can be the content of the dietary nutrient component in the standard spectral curve.

[0067] The second step: According to the target spectral curves corresponding to each initial sampled product, determine the actual content corresponding to each dietary nutrient component in each initial sampled product.

[0068] Among them, the actual content corresponding to the dietary nutrient component can be the content of the dietary nutrient component in the target spectral curve.

[0069] The third step: According to the difference between the actual content and the corresponding standard content of each dietary nutrient component in each initial sampled product, determine the deviation coefficient corresponding to each dietary nutrient component in each initial sampled product.

[0070] For example, the formula for determining the deviation coefficient corresponding to the dietary nutrient component in the initial sampled product is:

[0071] where θ ijis the deviation coefficient corresponding to the j-th dietary nutrient component in the i-th initial sampling product. i is the serial number of the initial sampling product. j is the serial number of the dietary nutrient component. || is the absolute value function. p ij is the actual content corresponding to the j-th dietary nutrient component in the i-th initial sampling product. p j is the standard content corresponding to the j-th dietary nutrient component.

[0072] It should be noted that when |p ij -p j | is larger, it often indicates that the content of the j-th dietary nutrient component in the i-th initial sampling product deviates more from the standard content. Therefore, when θ ij is larger, it often indicates that the content of the j-th dietary nutrient component in the i-th initial sampling product deviates more from the standard content.

[0073] Step 4: Determine the overall deviation degree corresponding to each initial sampling product by taking the mean value of the deviation coefficients corresponding to all dietary nutrient components in each initial sampling product.

[0074] For example, the formula for determining the overall deviation degree corresponding to the initial sampling product can be:

[0075] where, T i is the overall deviation degree corresponding to the i-th initial sampling product. i is the serial number of the initial sampling product. N is the number of different dietary nutrient components. j is the serial number of the dietary nutrient component. θ ij is the deviation coefficient corresponding to the j-th dietary nutrient component in the i-th initial sampling product.

[0076] It should be noted that when θ ij is larger, it often indicates that the content of the j-th dietary nutrient component in the i-th initial sampling product deviates more from the standard content. Therefore, when T i is larger, it often indicates that the content of most dietary nutrient components in the i-th initial sampling product deviates more from the standard content.

[0077] Step S3: Determine the initial stirring effect coefficient according to the differences between the deviation coefficients corresponding to different dietary nutrient components in all initial sampling products.

[0078] As an example, this step may include the following steps:

[0079] Step 1: Sort all initial sampling products in ascending order according to the preset depths corresponding to different initial sampling products.

[0080] It should be noted that when the ranking of the initial sampling products is more backward, the corresponding preset depth of the initial sampling product is greater, which often indicates that the initial sampling product represents the composition of the stirred product deeper.

[0081] In the second step, screen out the dietary nutrient components with non-zero actual content from each initial sampling product as the actually existing components, obtain the set of actually existing components corresponding to each initial sampling product, and determine the number of existing components corresponding to each initial sampling product as the number of actually existing components in the set of actually existing components corresponding to each initial sampling product.

[0082] In the third step, determine the absolute value of the difference between the number of existing components corresponding to every two adjacent initial sampling products as the target quantity difference between every two adjacent initial sampling products.

[0083] In the fourth step, determine the nutrient content comparison coefficient between every two adjacent initial sampling products according to the target quantity difference between every two adjacent initial sampling products and the difference between the deviation coefficients corresponding to different dietary nutrient components in every two adjacent initial sampling products.

[0084] In the fifth step, determine the initial stirring effect coefficient according to the nutrient content comparison coefficients between all adjacent initial sampling products.

[0085] For example, the formula corresponding to the nutrient content comparison coefficient between two adjacent initial sampling products and the formula corresponding to the initial stirring effect coefficient can be respectively:

[0086]

[0087] Among them, L i,i+1 is the nutrient content comparison coefficient between the i-th initial sampling product and the (i + 1)-th initial sampling product. X is the initial stirring effect coefficient. i is the serial number of the initial sampling product. R i,i+1 is the target quantity difference between the i-th initial sampling product and the (i + 1)-th initial sampling product. N is the number of different dietary nutrient components. j is the serial number of the dietary nutrient component. || is the absolute value function. θ ij is the deviation coefficient corresponding to the j-th dietary nutrient component in the i-th initial sampling product. θ i+1,j is the deviation coefficient corresponding to the j-th dietary nutrient component in the (i + 1)-th initial sampling product. norm() is the normalization function. n is the number of initial sampling products. L is the mean value of the nutrient content comparison coefficients between all adjacent initial sampling products.

[0088] It should be noted that when the sampling products at different positions are more similar, it often indicates that the stirring effect is relatively better, and it often indicates that the stirred product is less likely to have powder stratification, and the subsequent determination results of nutritional components are relatively more accurate. When is larger, it often indicates that the types of nutritional components contained in the i-th initial sampling product and the (i + 1)-th initial sampling product are less similar. When |θ ij -θ i+1,j | is larger, it often indicates that the deviation coefficients between the i-th initial sampling product and the (i + 1)-th initial sampling product are less similar. Therefore, when L i,i+1 is larger, it often indicates that the i-th initial sampling product and the (i + 1)-th initial sampling product are less similar, it often indicates that the stirring effect is relatively worse, and it often indicates that the stirred product is more likely to have powder stratification. When X is smaller, it often indicates that the similarity between adjacent initial sampling products is closer, and it often indicates that the overall stirring effect is relatively better.

[0089] Step S4: Determine the initial component separation coefficient according to the initial stirring effect coefficient and the deviation coefficients corresponding to the preset main nutritional components in different initial sampling products.

[0090] Among them, the preset main nutritional components can be the selected main dietary nutritional components. The number of preset main nutritional components can be preset, and it can be less than or equal to the number of dietary nutritional components. For example, the preset main nutritional components can be, but are not limited to: protein, fat, and amino acids.

[0091] As an example, this step may include the following steps:

[0092] First step: Screen out the preset main nutritional component with the largest corresponding deviation coefficient from each initial sampling product as the reference nutritional component corresponding to each initial sampling product, and determine each preset main nutritional component other than the reference nutritional component in each initial sampling product as the secondary main nutritional component.

[0093] Second step: Determine the proportion of the deviation coefficient corresponding to the reference nutritional component of each initial sampling product in the total sum of the deviation coefficients corresponding to all its preset main nutritional components as the relative main deviation coefficient corresponding to each initial sampling product.

[0094] For example, the formula for determining the relative main deviation coefficient corresponding to the initial sampling product can be:

[0095] where k i is the relative main deviation coefficient corresponding to the i-th initial sampling product. i is the serial number of the initial sampling product. θz i is the deviation coefficient corresponding to the reference nutritional component of the i-th initial sampling product. θμi is the cumulative value of the deviation coefficients corresponding to all preset major nutrients in the i-th initial sampling product.

[0096] It should be noted that when k i is larger, it often indicates that the proportion of the deviation coefficient of the reference nutrient in the i-th initial sampling product is relatively larger, and it often indicates that the maximum deviation coefficient corresponding to the i-th initial sampling product is relatively larger.

[0097] Step 3: Determine the target increase coefficient between every two adjacent initial sampling products according to the difference between the relative major deviation coefficients corresponding to every two adjacent initial sampling products, and the difference between the deviation coefficients corresponding to the sub-major nutrients in every two adjacent initial sampling products.

[0098] Step 4: Determine the initial component separation coefficient according to the target increase coefficients between all adjacent initial sampling products and the above initial stirring effect coefficient.

[0099] For example, the formulas corresponding to the target increase coefficient between two adjacent initial sampling products and the formula corresponding to the initial component separation coefficient can be respectively:

[0100]

[0101] where, F i,i+1 is the target increase coefficient between the i-th initial sampling product and the (i + 1)-th initial sampling product. S is the initial component separation coefficient. i is the serial number of the initial sampling product. k i+1 is the relative major deviation coefficient corresponding to the (i + 1)-th initial sampling product. k i is the relative major deviation coefficient corresponding to the i-th initial sampling product. N i is the number of sub-major nutrients in the i-th initial sampling product. c is the serial number of the sub-major nutrient in the i-th initial sampling product. ΔD i,i+1,c represents the deviation difference between the i-th initial sampling product and the (i + 1)-th initial sampling product under the c-th sub-major nutrient. || is the absolute value function. k i,c is the relative deviation coefficient corresponding to the c-th sub-major nutrient in the i-th initial sampling product. k i+1,c is the relative deviation coefficient corresponding to the c-th sub-major nutrient in the (i + 1)-th initial sampling product. γ is a preset factor greater than 0, mainly used to prevent the denominator from being 0, and it can be 0.001. θz i,c is the deviation coefficient corresponding to the c-th sub-major nutrient in the i-th initial sampling product. θμ i,cis the cumulative value of the deviation coefficients corresponding to all secondary main nutrients in the i-th initial sampling product. X is the initial mixing effect coefficient. n is the number of initial sampling products. Δh i,i+1 is the absolute value of the difference between the preset depth corresponding to the i-th initial sampling product and the preset depth corresponding to the i+1-th initial sampling product.

[0102] It should be noted that when k i is larger, it often indicates that the proportion of the deviation coefficient of the reference nutrient in the i-th initial sampling product is relatively larger, and it often indicates that the maximum deviation coefficient corresponding to the i-th initial sampling product is relatively larger. When k i+1 -k i is larger, it often indicates that the degree of deviation is greater when going deeper, it often indicates that there is more likely to be stratification when going deeper, and it often indicates that product sampling and analysis should be carried out deeper to make the mixing effect analysis more comprehensive. When ΔD i,i+1,c is larger, it often indicates that the deviation situations of the i-th initial sampling product and the i+1-th initial sampling product under the c-th secondary main nutrient are less similar, it often indicates that the mixing effect is relatively worse, and it often indicates that the depth should be adjusted for re-sampling. Therefore, when F i,i+1 is larger, it often indicates that product sampling should be carried out deeper. When is larger, it often indicates that a large difference occurs in a relatively short path, it often indicates that there is more likely to be stratification at this time, and it often indicates that product sampling should be carried out deeper. When X is larger, it often indicates that the similarity between adjacent initial sampling products is less similar, and it often indicates that the overall mixing effect is relatively worse. Therefore, when S is larger, it often indicates that the overall mixing effect is relatively worse, and it often indicates that sampling should be carried out at deeper positions at each sampling point.

[0103] Step S5, according to the initial component separation coefficient, correct different preset depths, and perform product sampling based on the corrected depths corresponding to the preset depths of each initial sampling product to obtain the target product corresponding to each initial sampling product, and determine the overall deviation degree corresponding to the target product of each initial sampling product.

[0104] As an example, this step may include the following steps:

[0105] The first step, the formula for correcting different preset depths according to the initial component separation coefficient can be:

[0106] h′ i =S×Δh i,i+1 +h i ; where h′ iis the depth value obtained after correcting the preset depth corresponding to the i-th initial sampling product. i is the serial number of the initial sampling product. S is the initial component separation coefficient. Δh i,i+1 is the absolute value of the difference between the preset depth corresponding to the i-th initial sampling product and the preset depth corresponding to the (i + 1)-th initial sampling product. h i is the preset depth corresponding to the i-th initial sampling product.

[0107] It should be noted that if h′ i is less than 0, the corrected depth corresponding to the preset depth corresponding to the i-th initial sampling product is set to 0; if h′ i is greater than the maximum depth of the stirred product, the corrected depth corresponding to the preset depth corresponding to the i-th initial sampling product is set to the maximum depth of the stirred product. Secondly, when S is larger, it often indicates that the overall stirring effect is relatively worse, and it often indicates that sampling should be carried out at deeper positions at each sampling point. Therefore, h′ i can represent the depth at which secondary sampling is required.

[0108] In the second step, product sampling is carried out based on the corrected depth corresponding to the preset depth corresponding to each initial sampling product, and the target product corresponding to each initial sampling product is obtained.

[0109] It should be noted that at each corrected depth, the stirred product can be sampled, and the product obtained by sampling at this time is recorded as the target product.

[0110] In the third step, determining the overall deviation degree corresponding to the target product corresponding to each initial sampling product can include the following sub-steps:

[0111] The first sub-step is to determine the deviation coefficient corresponding to each dietary nutrient component in the target product corresponding to each initial sampling product.

[0112] Among them, the method for obtaining the deviation coefficient corresponding to each dietary nutrient component in the target product can be the same as the method for obtaining the deviation coefficient corresponding to each dietary nutrient component in the initial sampling product.

[0113] The second sub-step is to determine the mean value of the deviation coefficients corresponding to all dietary nutrient components in the target product corresponding to each initial sampling product as the overall deviation degree corresponding to the target product corresponding to each initial sampling product.

[0114] Step S6, according to the difference between the initial sampling product and the overall deviation degree corresponding to its corresponding target product, determine the target stratified stirring effect, and based on the target stratified stirring effect, conduct the determination of dietary nutrient components.

[0115] As an example, this step can include the following steps:

[0116] First step, determine the difference comparison coefficient corresponding to each initial sampling product according to the overall deviation degree corresponding to each initial sampling product and the overall deviation degree corresponding to the target product corresponding thereto.

[0117] For example, the formula for determining the difference comparison coefficient corresponding to the initial sampling product can be:

[0118] Wherein, is the difference comparison coefficient corresponding to the i-th initial sampling product. i is the serial number of the initial sampling product. || is the absolute value function. T i is the overall deviation degree corresponding to the i-th initial sampling product. T' i is the overall deviation degree corresponding to the target product corresponding to the i-th initial sampling product.

[0119] It should be noted that when T i is larger, it often indicates that the content of most dietary nutrients in the i-th initial sampling product deviates more from the standard content. When T' i is larger, it often indicates that the content of most dietary nutrients in the target product corresponding to the i-th initial sampling product deviates more from the standard content. Therefore, can characterize the similarity between the products obtained from the two samplings before and after. The larger its value, the smaller the similarity between the products obtained from the two samplings before and after.

[0120] Second step, determine the target stirring effect coefficient according to the differences between the deviation coefficients corresponding to different dietary nutrients in all target products.

[0121] It should be noted that the method for obtaining the target stirring effect coefficient can be the same as the method for obtaining the initial stirring effect coefficient. Specifically, the method for obtaining the target stirring effect coefficient can be: regarding the target product as the initial sampling product and executing step S3. At this time, the obtained initial stirring effect coefficient is the target stirring effect coefficient.

[0122] Third step, determine the target layered stirring effect according to the variance of the difference comparison coefficients corresponding to all initial sampling products, the initial stirring effect coefficient, and the target stirring effect coefficient.

[0123] For example, the formula for determining the target layered stirring effect can be:

[0124] Wherein, G is the target layered stirring effect. norm() is the normalization function. X is the initial stirring effect coefficient. X' is the target stirring effect coefficient. σ is the variance of the difference comparison coefficients corresponding to all initial sampling products.

[0125] It should be noted that when σ is larger, it often indicates that the distribution of similarity between products obtained from two consecutive samplings at different corresponding positions is more chaotic, often indicating that the stirring effect may be worse, and often indicating that it is more necessary to stir again. When X is larger, it often indicates that the similarity between adjacent initial sampling products is less similar, often indicating that the overall stirring effect during the first sampling is relatively worse. When X' is larger, it often indicates that the overall stirring effect during the second sampling is relatively worse. Therefore, when G is larger, it often indicates that the stirring effect is relatively worse, and it often indicates that it is more necessary to stir again.

[0126] Step 4, the determination of dietary nutrient components based on the target stratified stirring effect may include the following sub-steps:

[0127] The first sub-step, if the target stratified stirring effect is less than or equal to the preset stirring threshold, it is determined that the stirring effect is good, and secondary stirring is not required. The component determination can be directly performed through an on-line spectral detector.

[0128] Among them, the preset stirring threshold can be a threshold set in advance, and it can be 0.4.

[0129] The second sub-step, if the target stratified stirring effect is greater than the preset stirring threshold, it is determined that the stirring effect is poor, and the stratification between different powder foods may be serious. Secondary stirring is required, and the component determination is performed through an on-line spectral detector after secondary stirring.

[0130] Reference Figure 2 , based on the same inventive concept as the above method embodiment, the present invention provides a dietary nutrient component determination system, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the above computer program is executed by the processor, it realizes the steps of a dietary nutrient component determination method, which may specifically include:

[0131] A spectral curve acquisition module 201, configured to acquire a standard spectral curve and a target spectral curve corresponding to an initial sampling product at different preset depths;

[0132] A deviation determination module 202, configured to determine a deviation coefficient corresponding to each dietary nutrient component in each initial sampling product and determine an overall deviation degree corresponding to each initial sampling product according to the standard spectral curve and the target spectral curve corresponding to each initial sampling product;

[0133] An initial stirring effect coefficient determination module 203, configured to determine an initial stirring effect coefficient according to the difference between the deviation coefficients corresponding to different dietary nutrient components in all initial sampling products;

[0134] An initial component separation coefficient determination module 204 is configured to determine an initial component separation coefficient according to an initial stirring effect coefficient and deviation coefficients corresponding to preset main nutritional components in different initial sampling products, where the preset main nutritional components are screened dietary nutritional components;

[0135] A corrected sampling determination module 205 is configured to correct different preset depths according to the initial component separation coefficient, and perform product sampling based on the corrected depths corresponding to the preset depths of each initial sampling product to obtain a target product corresponding to each initial sampling product, and determine the overall deviation degree corresponding to the target product corresponding to each initial sampling product;

[0136] A determination and component measurement module 206 is configured to determine a target layered stirring effect according to the difference between the initial sampling product and the overall deviation degree corresponding to its corresponding target product, and perform dietary nutritional component measurement based on the target layered stirring effect.

[0137] Figure 3 It is a schematic structural diagram of a computer device provided by an embodiment of the present invention. Exemplarily, as Figure 3 shown, the computer device 300 includes: a memory 301, a processor 302, and a computer program 303 stored in the memory 301 and running on the processor 302. When the processor 302 executes the computer program 303, the computer device can execute any one of the foregoing dietary nutritional component measurement methods.

[0138] Based on the same inventive concept as the above method embodiment, the present invention provides a server, including a memory and a processor. The memory is used to store executable program code, and the processor is used to call and run the executable program code from the memory, so that the server executes any one of the above dietary nutritional component measurement methods.

[0139] Based on the same inventive concept as the above method embodiment, the present invention provides a computer program product, which includes: computer program code. When the computer program code runs on a computer, the computer executes any one of the above dietary nutritional component measurement methods.

[0140] Based on the same inventive concept as the above method embodiment, the present invention provides a dietary nutritional component measurement device, which stores computer program code. When the computer program code runs on a computer, the computer executes any one of the above dietary nutritional component measurement methods.

[0141] In summary, in the process of measuring dietary nutrient components, the present invention comprehensively considers multiple features related to the uniform mixing of the product, such as the deviation coefficient, the overall deviation degree, the initial mixing effect coefficient, and the initial component separation coefficient, etc., thereby objectively quantifying the target stratified mixing effect representing the overall mixing effect of the product, and further improving the rationality of judging the subsequent uniform mixing situation of the product, and thus improving the rationality of measuring dietary nutrient components.

[0142] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the various embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for determining dietary nutritional components, characterized in that: The following steps are involved: Obtaining a standard spectral curve and target spectral curves corresponding to initial sampling products at different preset depths; Determine the coefficient of deviation corresponding to each dietary nutrient component in each initial sampling product based on the standard spectral curve and the target spectral curve corresponding to each initial sampling product, and determine the overall deviation corresponding to each initial sampling product; Determine the initial stirring effect coefficient based on the difference between the deviation coefficients corresponding to different dietary nutrients in all the initial sampled products; Determining an initial component separation coefficient according to an initial stirring effect coefficient and a deviation coefficient corresponding to a preset main nutrient component in different initial sampled products, wherein the preset main nutrient component is a screened dietary nutrient component; According to the initial component separation coefficient, different preset depths are corrected, and product sampling is performed based on the corrected depth corresponding to the preset depth corresponding to each initial sampled product, to obtain the target product corresponding to each initial sampled product, and to determine the overall deviation corresponding to the target product corresponding to each initial sampled product; According to the difference between the overall deviations of the initial sampled product and its corresponding target product, the target stratified mixing effect is determined, and the dietary nutritional components are determined based on the target stratified mixing effect.

2. A method for determining dietary nutrients according to claim 1, characterized in that: The step of determining the deviation coefficient corresponding to each dietary nutrient component in each initial sampled product according to the standard spectral curve and the target spectral curve corresponding to each initial sampled product comprises: Determining the standard content of each dietary nutrient component according to the standard spectral curve; Determine the actual content of each dietary nutrient in each initial sampled product according to the target spectral curve corresponding to each initial sampled product; According to the difference between the actual content of each dietary nutrient in each initial sampling product and its corresponding standard content, the deviation coefficient corresponding to each dietary nutrient in each initial sampling product is determined.

3. A method for determining dietary nutrients according to claim 1, characterized in that: Determining the overall deviation corresponding to each initial sampling product includes: The mean of the coefficients of deviation corresponding to all dietary nutrients in each initial sampled product is determined as the overall deviation corresponding to each initial sampled product.

4. A method for determining dietary nutrients according to claim 2, characterized in that: The initial stirring effect coefficient is determined according to the difference between the deviation coefficients corresponding to different dietary nutrients in all the initial sampled products, including: According to the preset depths corresponding to different initial sampling products, all initial sampling products are sorted in ascending order; Selecting dietary nutrients with actual contents not equal to 0 from each initial sampled product as actual existing components, obtaining an actual existing component set corresponding to each initial sampled product, and determining the number of actual existing components in the actual existing component set corresponding to each initial sampled product as the existing component quantity corresponding to each initial sampled product; The absolute value of the difference between the existing quantities of the components corresponding to each two adjacent initial sampling products is determined as the target quantity difference between each two adjacent initial sampling products; Determine the nutrient content comparison coefficient between each two adjacent initial sampling products according to the target quantity difference between each two adjacent initial sampling products and the difference between the deviation coefficients corresponding to different dietary nutrients in each two adjacent initial sampling products; The initial stirring effect coefficient is determined based on the nutrient content comparison coefficient between all adjacent initial sampling products.

5. A method for determining dietary nutrients according to claim 4, characterized in that: The formulas corresponding to the nutrient content comparison coefficient between two adjacent initial sampled products and the formula corresponding to the initial stirring effect coefficient are: Among them, L i,i+1 is the nutrient content comparison coefficient between the i-th initial sampling product and the i+1-th initial sampling product; X is the initial stirring effect coefficient; i is the serial number of the initial sampling product; R i,i+1 is the target quantity difference between the i-th initial sampled product and the i+1-th initial sampled product; N is the number of different dietary nutrients; j is the serial number of the dietary nutrient; || is the absolute value function; θ ij is the coefficient of deviation corresponding to the jth dietary nutrient in the i-th initial sampled product; θ i+1,j is the deviation coefficient corresponding to the jth dietary nutrient in the i+1th initial sampling product; norm() is the normalization function; n is the number of initial sampling products; L is the mean of the nutrient content comparison coefficients between all adjacent initial sampling products.

6. A method for determining dietary nutritional components according to claim 1, characterized in that: The initial component separation coefficient is determined according to the initial stirring effect coefficient and the deviation coefficient corresponding to the preset main nutritional components in different initial sampled products, including: Screen out the preset main nutrient component with the largest corresponding deviation coefficient from each initial sampled product as the reference nutrient component corresponding to each initial sampled product, and determine each preset main nutrient component in each initial sampled product except the reference nutrient component as a secondary main nutrient component; The proportion of the deviation coefficient corresponding to the reference nutrient component corresponding to each initial sampled product in the sum of the deviation coefficients corresponding to all preset main nutrient components thereof is determined as the relative main deviation coefficient corresponding to each initial sampled product; Determine the target increase coefficient between each two adjacent initial sampling products according to the difference between the relative main deviation coefficients corresponding to each two adjacent initial sampling products and the difference between the deviation coefficients corresponding to the sub-main nutrients in each two adjacent initial sampling products; The initial component separation coefficient is determined based on the target increase coefficient between all adjacent initial sampling products and the initial stirring effect coefficient.

7. A method for determining dietary nutrients according to claim 6, characterized in that: The formulas corresponding to the target amplification factor between two adjacent initial sampling products and the formulas corresponding to the initial component separation factor are: Among them, F i,i+1 is the target increase coefficient between the i-th initial sampling product and the i+1-th initial sampling product; S is the initial component separation coefficient; i is the serial number of the initial sampling product; k i+1 is the relative main deviation coefficient corresponding to the i+1th initial sampling product; k i is the relative main deviation coefficient corresponding to the i-th initial sampling product; N i is the number of the secondary major nutrient in the i-th initial sampled product; c is the serial number of the secondary major nutrient in the i-th initial sampled product; ΔD i,i+1,c Characterizes the deviation difference between the i-th initial sampling product and the i+1-th initial sampling product under the c-th secondary main nutrient component; || is the absolute value function; k i,c is the relative deviation coefficient corresponding to the cth major nutrient in the i-th initial sample product; k i+1,c is the relative deviation coefficient corresponding to the cth major nutrient in the i+1th initial sample product; γ is a pre-set factor greater than 0; θz i,c is the coefficient of variation corresponding to the cth sub-nutrient in the i-th initial sample product; θμ i,c is the cumulative value of the deviation coefficients corresponding to all the secondary nutrients in the i-th initial sampling product; X is the initial stirring effect coefficient; n is the number of initial sampling products; Δh i,i+1 It is the absolute value of the difference between the preset depth corresponding to the i-th initial sampling product and the preset depth corresponding to the i+1-th initial sampling product.

8. A method for determining dietary nutrients according to claim 1, characterized in that: The formula corresponding to the correction of different preset depths according to the initial component separation coefficient is: h i ′ =S×Δh i,i+1 +h i ; Among them, h i ′ is the depth value obtained after correcting the preset depth corresponding to the i-th initial sampling product; i is the serial number of the initial sampling product; S is the initial component separation coefficient; Δh i,i+1 is the absolute value of the difference between the preset depth corresponding to the i-th initial sampling product and the preset depth corresponding to the i+1-th initial sampling product; h i is the preset depth corresponding to the i-th initial sampling product.

9. A dietary nutrient component determination system, characterized in that: The method comprises a processor and a memory, wherein the processor is used to process instructions stored in the memory to implement a method for determining dietary nutrient components according to any one of claims 1 to 8.

10. A dietary nutrient component determination device, characterized in that: The dietary nutrient component determination device stores a computer program code, and when the computer program code runs on a computer, the computer executes a dietary nutrient component determination method as described in any one of claims 1-8.