Probiotic composition network regulation method and system based on intestinal environmental homeostasis

Abstract

The present invention discloses a network control method and system for a probiotic composition based on intestinal environmental homeostasis, and relates to the technical field of biological preparation supervision and regulation. The method first extracts the strain preparation sample data of the probiotic complex for processing, and then screens the specified strain preparation sample of the probiotic complex. Then, during the preparation process, the agitator and the vacuum freeze dryer are adaptively adjusted according to the characteristics of the probiotic composition, thereby solving the problems of insufficient adjustment accuracy and poor adaptability caused by the current biological preparation with only a single mode of control switching. The present invention not only promotes the enhancement of the overall consistency and stability of the preparation of the probiotic composition, but also can protect the biological activity and functionality of the probiotics to the maximum extent.

Description

Technical Field

[0001] The present invention relates to the technical field of biological formulation supervision and regulation, and in particular to a probiotic composition network regulation method and system based on intestinal environmental homeostasis. Background Art

[0002] A probiotic composition is composed of a variety of probiotic strains, which can regulate the balance of intestinal flora, promote nutrient absorption, and enhance human immunity. The probiotic function of a probiotic composition is often better than that of a single strain. Since the preparation of a probiotic composition involves multiple technical links, in order to ensure the efficiency and safety of the preparation of the probiotic composition, strict supervision is required during the actual preparation process.

[0003] Prior art, such as the invention patent with announcement number CN117075467B, is a self-adaptive automatic adjustment control system suitable for bio-oil preparation, comprising: a control device; and an self-adaptive control system arranged inside the control device; the self-adaptive control system is provided with a preparation module and a combination module. The patent provides a control system that can automatically switch the operation mode of the reaction system according to the reaction amount and reaction time, that is, it can automatically adjust from the series mode to the parallel mode of any mode according to the increase of the reaction amount and reaction time, and switch between different parallel modes, and it can switch from the parallel mode of any mode to the series mode according to the gradual reduction of the reaction amount and reaction time, so as to achieve the purpose of self-adaptation.

[0004] Existing technologies, such as the invention patent with announcement number CN116449809B, are a fault handling method, device, electronic device and storage medium, which involve the field of biological detection technology. This method divides the fault handling of biological detection equipment into fault handling of equipment modules, fault handling of detection processes and fault handling of process nodes. By configuring different fault handling strategies for the three, a complete equipment fault handling process can be flexibly configured. This fault handling mechanism covers the uncertainty and diversity of scenarios, avoiding the need to solidify fixed processing processes in the code based on some assumed fault scenarios, and does not require recompiling and burning the program every time it is modified, thereby improving the efficiency of fault handling.

[0005] In summary, the current limitations in biological preparation supervision are as follows: First, the adjustments in the preparation supervision process are often just single-mode control switching; second, the focus of supervision is placed on the preparation equipment. Since biological preparation needs to take into account different biological characteristics, the differences in biological characteristics also lead to inconsistencies in the requirements for preparation adjustments, and a single-mode control adjustment cannot fully adapt to specific biological preparation needs. Therefore, in the current biological preparation supervision, there are problems of insufficient adjustment accuracy and poor adaptability. Summary of the invention

[0006] In view of the deficiencies of the prior art, the present invention provides a probiotic composition network regulation method and system based on intestinal environmental homeostasis, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: First, a network regulation method for a probiotic composition based on intestinal environmental homeostasis is provided, including: counting a number of complexes in the probiotic composition, recorded as probiotic complexes, and extracting strain preparation sample data of the probiotic complex from the regulatory cloud center and inputting it into a data processing server.

[0008] The data processing server takes over the strain preparation sample data of the probiotic complex for processing, simultaneously screens the designated strain preparation samples of the probiotic complex, and extracts the pre-formulated strains of the probiotic complex therefrom.

[0009] The pre-formulated strains of the probiotic complex are mixed and stirred by a stirrer, and the stirring operation of the stirrer is sensed and adjusted, and the liquid after the mixing and stirring is marked as a liquid probiotic composition.

[0010] The liquid probiotic composition is processed by a vacuum freeze dryer, and the operation of the vacuum freeze dryer is adjusted by sensing, and the solid matter after vacuum freeze drying is recorded as a solid probiotic composition.

[0011] As a preferred technical solution, the strain preparation sample data of the probiotic complex includes scanning electron microscopic images corresponding to the culture dishes inoculated with each activated strain.

[0012] As a preferred technical solution, the screening of designated strain preparation samples of the probiotic complex comprises the following specific processes: counting scanning electron microscopic images corresponding to the culture dishes inoculated with each activated strain of the probiotic complex, and extracting characteristic data from the scanning electron microscopic images, thereby generating strain quality inspection indicator coefficients corresponding to the culture dishes inoculated with each activated strain of the probiotic complex based on the characteristic data, and the strain quality inspection indicator coefficients are used to quantitatively characterize the strain quality in the culture dishes inoculated with the activated strains.

[0013] According to the strain quality inspection indicator coefficient corresponding to the culture dish inoculated with each activated strain of the probiotic complex, an activated strain verification label is generated and transmitted to the regulatory cloud center for autonomous prompting, wherein the activated strain verification label includes samples of each defective strain and samples of each qualified strain.

[0014] The strain quality inspection indicator coefficient corresponding to each qualified strain sample is counted, and the qualified strain sample corresponding to the maximum value of the strain quality inspection indicator coefficient is extracted and recorded as the designated strain preparation sample of the probiotic complex.

[0015] As a preferred technical solution, the feature data is extracted from the scanning electron microscopic image, and the specific process is: based on the scanning electron microscopic image corresponding to the culture dish inoculated with each activated strain of the probiotic complex, the position of each monomer colony is located therefrom, and the colony density, colony surface positive value difference, colony average diameter and each monomer colony microscopic image are counted.

[0016] The colony density, colony surface positive value difference, and colony average diameter are collectively marked as the first characteristic element data.

[0017] Based on the microscopic images of each monomer colony, the center point of each monomer colony is located, and the straight-line distance between the center point of each monomer colony and the center point of the culture dish inoculated with the corresponding activated strain is extracted, recorded as the center distribution distance of each monomer colony, and marked as the second characteristic element data.

[0018] Each monomer colony microscopic image is compared with a monomer colony standard microscopic image pre-defined in a database, and the outer edge contour line length difference and the average grayscale difference between each monomer colony microscopic image and the monomer colony standard microscopic image are extracted and marked together as the third characteristic element data.

[0019] The first characteristic element data, the second characteristic element data, and the third characteristic element data are collectively defined as characteristic data.

[0020] As a preferred technical solution, the preformulated strains of the probiotic complex are mixed and stirred by a stirrer, and the stirring operation of the stirrer is sensed and adjusted. The specific process is: the suspension composed of the preformulated strains of the probiotic complex is recorded as the initial probiotic suspension, and the mixing parameters of the initial probiotic suspension are counted, and the mixing parameters include viscosity, density and volume.

[0021] The mixing comparison parameters of the initial probiotic suspension are counted from the database, and the mixing comparison parameters include a target mixing viscosity, a target mixing density, and a reference mixing volume.

[0022] Based on the mixing parameters and mixing comparison parameters of the initial probiotic suspension, the deviation between the mixing parameters and the mixing comparison parameters is statistically calculated and recorded as the mixing deviation parameter of the initial probiotic suspension, and a mixing deviation comprehensive ratio value of the initial probiotic suspension is generated. The mixing deviation comprehensive ratio value is used to characterize the mixing and stirring complexity of the initial probiotic suspension.

[0023] Based on the comprehensive ratio value of the mixing deviation of the initial probiotic suspension, the value is imported into a bilateral symmetric model predefined in a database to extract the stirring execution parameters of the initial probiotic suspension, wherein the stirring execution parameters include stirring speed and stirring time.

[0024] Based on the stirring execution parameters of the initial probiotic suspension, the stirring operation of the stirrer is controlled to be sensor-regulated.

[0025] As a preferred technical solution, the liquid probiotic composition is processed by a vacuum freeze dryer, and the operation of the vacuum freeze dryer is sensed and adjusted. The specific process is: obtaining the placement data of the liquid probiotic composition, and the placement data includes the total placement weight and the placement spreading area.

[0026] The placement data of each existing prepared finished product composition is collected from the database, and the placement similarity between the liquid probiotic composition and each existing prepared finished product composition is obtained through comparative analysis. The placement data is compared with the placement similarity threshold in the database, and several existing prepared finished product compositions with placement similarity higher than the placement similarity threshold are screened and recorded as reference prepared finished product compositions.

[0027] Based on the vacuum freeze-drying execution parameters of each existing formulated finished product composition stored in the database, the vacuum freeze-drying execution parameters of each reference formulated finished product composition are screened out, and the vacuum freeze-drying execution parameters include pre-freezing parameters, primary drying parameters and secondary drying parameters.

[0028] The vacuum freeze-drying execution parameters of each reference formulated finished product composition were averaged to obtain the vacuum freeze-drying execution parameters of the liquid probiotic composition.

[0029] Based on the vacuum freeze drying execution parameters of the liquid probiotic composition, the control performs sensory adjustment on the operation of the vacuum freeze dryer.

[0030] As a preferred technical solution, the probiotic composition network regulation method based on intestinal environmental homeostasis also includes: based on the solid probiotic composition, obtaining an inspection label of the solid probiotic composition through detection, wherein the inspection label indicates a qualified inspection or a failed inspection.

[0031] The inspection label is based on the solid probiotic composition and transmitted to the regulatory cloud center for management.

[0032] As a preferred technical solution, the inspection label of the solid probiotic composition is obtained by detection, and the specific process is: the finished product yield and the finished product moisture content of the solid probiotic composition are obtained by detection, and are marked as G and H respectively.

[0033] The defined finished product yield and the defined finished product moisture content are extracted from the database and recorded as ΔG and ΔH respectively.

[0034] After comparison, if (G>ΔG)∧(H<ΔH) exists, the inspection label of the solid probiotic composition is defined as passed the inspection; if (G≤ΔG)∨(H≥ΔH) exists, the inspection label of the solid probiotic composition is defined as failed the inspection.

[0035] As a preferred technical solution, the strain quality inspection indicator coefficient corresponding to the inoculation culture dish of each activated strain of the probiotic complex is specifically generated under the following conditions:

[0036]

[0037] Among them, δ j represents the strain quality inspection index coefficient corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, α j represents the quality inspection index coefficient of the first strain corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, β j represents the quality inspection index coefficient of the second strain corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, α max Indicates the maximum value of the first strain quality inspection indicator coefficient, β max represents the maximum value of the second strain quality inspection indicator coefficient, ε1 represents the weight of the first strain quality inspection indicator coefficient, ε2 represents the weight of the second strain quality inspection indicator coefficient, j is the number of each activated strain inoculation culture dish, j=1,2,...,n, n represents the number of activated strain inoculation culture dishes.

[0038] Secondly, a network regulation system for a probiotic composition based on intestinal environmental homeostasis is provided, including: a strain preparation sample data extraction module, which is used to count a number of complexes in the probiotic composition, recorded as probiotic complexes, and extract the strain preparation sample data of the probiotic complex from the regulatory cloud center and input it into the data processing server.

[0039] The strain preparation sample data processing module is used to take over the strain preparation sample data of the probiotic complex through the data processing server for processing, synchronously screen the designated strain preparation samples of the probiotic complex, and extract the pre-formulated strains of the probiotic complex therefrom.

[0040] The agitator sensing and regulating module is used to mix and stir the pre-formulated strains of the probiotic complex through the agitator, and to perform sensing and regulation on the stirring operation of the agitator, so as to mark the mixed and stirred liquid as a liquid probiotic composition.

[0041] The vacuum freeze dryer sensing and regulating module is used to process the liquid probiotic composition through the vacuum freeze dryer, and to perform sensing and regulation on the operation of the vacuum freeze dryer, and to record the solid matter after vacuum freeze drying as the solid probiotic composition.

[0042] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects:

[0043] (1) The present invention provides a network control method and system for a probiotic composition based on intestinal environmental homeostasis. The method first extracts the strain preparation sample data of the probiotic complex for processing, and then screens the specified strain preparation sample of the probiotic complex. Then, during the preparation process, the agitator and the vacuum freeze dryer are adaptively adjusted according to the characteristics of the probiotic composition, thereby solving the problems of insufficient adjustment accuracy and poor adaptability caused by the current biological preparation using only a single mode of control switching.

[0044] (2) The present invention screens the designated strain preparation samples of the probiotic complex and extracts the pre-formulated strains of the probiotic complex therefrom, thereby selecting the strain preparation samples with the best quality for strain extraction. High-quality strains usually have stronger biological activity and stability. The quality and efficacy of the prepared strains can be ensured through screening, thereby promoting the enhancement of the overall consistency and stability of the preparation of the probiotic composition.

[0045] (3) The present invention mixes and stirs the pre-formulated strains of the probiotic complex through an agitator, and performs sensing and adjustment on the stirring operation of the agitator. In the early stage of sensing, the stirring execution parameters are obtained according to the mixing parameters of the initial probiotic suspension. This can effectively improve the rationality of resource utilization, avoid strain loss caused by excessive or insufficient stirring, protect the activity and functionality of the probiotics, further ensure that the probiotic suspension can reach the optimal mixing state, and also make the sensing adjustment of the agitator have higher adaptability and flexibility.

[0046] (4) The present invention processes the liquid probiotic composition through a vacuum freeze dryer, and performs sensor adjustment on the operation of the vacuum freeze dryer. By processing the placement data of the liquid probiotic composition, vacuum freeze drying execution parameters are obtained, which can maximize the protection of the biological activity and functionality of the probiotics, make the overall drying process more efficient, effectively reduce the drying time, and reduce energy consumption.

[0047] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of the method flow of the present invention;

[0049] Figure 2 It is a schematic diagram of the system module of the present invention;

[0050] Figure 3 It is a schematic diagram of a bilateral symmetric model involved in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "all around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0053] See also Figure 1 As shown, the first aspect of an embodiment of the present invention provides a network regulation method for a probiotic composition based on intestinal environmental homeostasis, including: counting a number of complexes in the probiotic composition, recorded as probiotic complexes, and extracting strain preparation sample data of the probiotic complex from a regulatory cloud center and inputting it into a data processing server.

[0054] It should be added that the network regulation of probiotic compositions helps maintain the homeostasis of the intestinal environment. This regulatory mechanism includes balancing the intestinal microbiota by promoting the growth of beneficial bacteria and inhibiting the reproduction of harmful bacteria.

[0055] In this embodiment, the plurality of complexes include Lactobacillus reuteri J1, Lactobacillus gasseri JM1, Lactobacillus paracasei JY062, Lactobacillus paracasei JY039 (with a deposit number of GDMCC.No.62990), Lactobacillus plantarum JY039, and Lactobacillus rhamnosus J20.

[0056] The regulatory cloud center is a platform based on cloud computing technology that can collect, transmit and analyze various data, and can also provide a real-time monitoring interface so that managers can understand the preparation and production status and related data of probiotics at any time, so as to discover and solve problems in time.

[0057] The data processing server is a dedicated computer data processing tool used to perform complex data processing tasks.

[0058] Specifically, the strain preparation sample data of the probiotic complex includes scanning electron microscopic images corresponding to the culture dishes inoculated with each activated strain.

[0059] It should be noted that the activated strain inoculation culture dish is a round or square flat-bottomed glass container for culturing microorganisms, usually covered with a transparent lid to control the oxygen and humidity of the culture environment. The culture dish is lined with culture medium to support the growth of microorganisms and the formation of colonies. In this embodiment, the activated strain inoculation culture dish is placed with activated strains.

[0060] The data processing server takes over the strain preparation sample data of the probiotic complex for processing, simultaneously screens the designated strain preparation samples of the probiotic complex, and extracts the pre-formulated strains of the probiotic complex therefrom.

[0061] It should be understood that the preformulated strains of the above-mentioned probiotic complex are specifically extracted at a preset extraction ratio, and the preset extraction ratio is preset by the preparer and stored in the database. The probiotic complexes involved in this embodiment are: Lactobacillus reuteri J1, Lactobacillus gasseri JM1, Lactobacillus paracasei JY062, Lactobacillus paracasei JY039 (preservation number is GDMCC.No.62990), Lactobacillus plantarum JY039, Lactobacillus rhamnosus J20, based on these 6 probiotic complexes, the extraction ratio is pre-set to any one of the three ratios of 1:1:1:1:1:1, 1:2:7:4:1:2, and 1:9:1:8:5:3, and at the same time, the minimum number of viable bacteria extracted is not less than 10 8 CFU / mL. For example, when the above six probiotic complexes were extracted in a ratio of 1:9:1:8:5:3, the viable counts of Lactobacillus reuteri J1 and Lactobacillus paracasei JY062 were not less than 10 8 CFU / mL.

[0062] Specifically, the screening of the designated strain preparation samples of the probiotic complex comprises the following steps: counting the scanning electron microscopic images corresponding to the culture dishes inoculated with each activated strain of the probiotic complex, and extracting characteristic data from the scanning electron microscopic images.

[0063] Furthermore, the feature data is extracted from the scanning electron microscopic image. The specific process is as follows: based on the scanning electron microscopic image corresponding to the culture dish inoculated with each activated strain of the probiotic complex, the position of each monomer colony is located, and the colony density (referring to the number of colonies per unit area, the unit is CFU / mm 2 ), colony surface positive value difference (refers to the difference between the highest single colony surface area and the lowest single colony surface area, unit is μm 2 ), average colony diameter (referring to the average diameter of the colony in the horizontal direction, in μm) and microscopic images of each individual colony.

[0064] The colony density, colony surface positive value difference, and colony average diameter are collectively marked as the first characteristic element data.

[0065] Based on the microscopic images of each monomer colony, the center point of each monomer colony is located therefrom, and the straight-line distance between the center point of each monomer colony and the center point of the culture dish inoculated with the corresponding activated strain is extracted, recorded as the center distribution spacing of each monomer colony, and marked as the second characteristic element data.

[0066] Each monomer colony microscopic image is compared with a monomer colony standard microscopic image pre-defined in a database, and the outer edge contour line length difference and the average grayscale difference between each monomer colony microscopic image and the monomer colony standard microscopic image are extracted and marked together as the third characteristic element data.

[0067] The first characteristic element data, the second characteristic element data, and the third characteristic element data are collectively defined as characteristic data.

[0068] In this embodiment, according to the first characteristic element data, the first strain quality inspection indicator coefficient corresponding to each activated strain inoculated culture dish of the probiotic complex is processed and generated. The first strain quality inspection indicator coefficient is used to quantitatively characterize the first characteristic element data. The specific generation conditions are as follows:

[0069]

[0070] In the formula, α j represents the quality inspection index coefficient of the first strain corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, ρ j represents the colony density corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, S j The positive value difference of the colony surface corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, R j represents the average colony diameter corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, ρ0, S0, R0 represent the reference colony density, the extreme difference of the colony surface area, and the reference colony diameter stored in the database respectively, γ1, γ2, γ3 represent the weight of the colony density, the weight of the colony surface area, and the weight of the colony diameter respectively, e is a natural constant, j is the number of the culture dish inoculated with each activated strain, j=1,2,...,n, and n represents the number of the culture dishes inoculated with the activated strain.

[0071] It should be explained that the colony density weight, colony surface area weight, and colony expansion diameter weight all have value ranges between 0 and 1. The preset values ​​can be directly extracted from the database, or the colony density, colony surface area, colony expansion diameter, and the first strain quality inspection indicator coefficient in the historical preparation information can be used to construct a mapping comparison set of colony density, colony surface area, colony expansion diameter and weight. In the embodiment, the actual colony density, colony surface area, and colony expansion diameter are input into the corresponding mapping comparison set one by one to obtain the colony density weight, colony surface area weight, and colony expansion diameter weight.

[0072] The colony surface positive value difference, that is, the difference between the highest single colony surface area and the lowest single colony surface area in a culture dish inoculated with an activated strain, has the largest colony surface positive value difference, indicating that the colony morphology in the culture dish inoculated with this activated strain is quite different, and the corresponding colony quality is relatively low. At this time, the first strain quality inspection indicator coefficient is also smaller.

[0073] It should also be explained that the present embodiment obtains the first strain quality inspection indicator coefficient corresponding to each activated strain inoculated culture dish of the probiotic complex by comprehensively processing the colony density, colony surface area, and colony expansion diameter. This is based on the consideration of certain mutual influences and correlations between them. For example, a higher colony density usually means that more colonies grow in the same area, which may lead to competition between colonies for nutrients and space, which may affect the growth rate and final surface area of ​​each colony. At the same time, a higher colony density may lead to a decrease in the expansion diameter of individual colonies because competition between colonies limits their lateral expansion. Combined with the analysis of colony density, colony surface area, and colony expansion diameter, the colony growth and quality of each activated strain inoculated culture dish can be evaluated more comprehensively and accurately.

[0074] In this embodiment, according to the second characteristic element data and the third characteristic element data, the second strain quality inspection indicator coefficient corresponding to each activated strain inoculated culture dish of the probiotic complex is processed and generated. The second strain quality inspection indicator coefficient is used to quantitatively characterize the second characteristic element data and the third characteristic element data. The specific generation conditions are as follows:

[0075]

[0076] Among them, β j The quality inspection index coefficient of the second strain corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, L jm represents the center distribution distance of the mth monomer colony in the culture dish inoculated with the jth activated strain of the probiotic complex, C jmThe length difference of the outer edge contour line of the mth single colony in the culture dish inoculated with the jth activated strain of the probiotic complex, D jm represents the average grayscale difference of the mth individual colony of the culture dish inoculated with the jth activated strain of the probiotic complex, ΔL, ΔC, and ΔD represent the reference deviation of the colony center distribution spacing, the allowable length difference of the colony outer edge contour line, and the allowable grayscale difference of the colony stored in the database respectively, γ4, γ5, and γ6 represent the colony center distribution spacing weight, the colony outer edge contour line length weight, and the colony grayscale weight respectively, j is the number of the culture dish inoculated with each activated strain, j=1,2,...,n, n represents the number of the culture dishes inoculated with the activated strain, m is the number of each individual colony, m=1,2,...,u, u represents the number of individual colonies, and e is a natural constant.

[0077] It should be explained that the weight of the colony center distribution spacing, the weight of the colony outer edge contour line length, and the colony grayscale weight all have a value range between 0 and 1. The preset value can be directly extracted from the database, or the colony center distribution spacing, the colony outer edge contour line length, the colony grayscale and the second strain quality inspection indicator coefficient in the historical preparation information can be used to construct a mapping comparison set of the colony center distribution spacing, the colony outer edge contour line length, the colony grayscale and the weight. In the embodiment, the actual colony center distribution spacing, the colony outer edge contour line length, and the colony grayscale are input into the corresponding mapping comparison set one by one to obtain the colony center distribution spacing weight, the colony outer edge contour line length, and the colony grayscale weight.

[0078] It should also be explained that, in this embodiment, the quality inspection indicator coefficient of the second strain corresponding to the inoculated culture dish of each activated strain of the probiotic complex is obtained by analyzing the comprehensive colony center distribution spacing, the colony outer edge contour line length, and the colony grayscale. This is to take into account the mutual influence and correlation between them. For example, the center distribution spacing reflects the distribution of the colonies on the culture dish. A larger spacing usually means that the distance between the colonies is farther, which may lead to more regular colony edge contour lines. On the contrary, a smaller spacing may cause the colonies to approach each other or even overlap, resulting in a more complex outer edge contour line. The center distribution spacing will also affect The optical properties of the colonies: a larger spacing gives each colony more growth space and resources, which may lead to a more uniform grayscale distribution, while a smaller spacing may lead to competition between colonies, affecting the uniformity of the grayscale distribution. At the same time, the complexity of the outer edge contour lines of the colonies may affect the internal structure and optical properties of the colonies. More complex edges may cause uneven scattering and absorption of light, thereby affecting the grayscale distribution. By simultaneously analyzing the colony center distribution spacing, the outer edge contour line length difference and the average grayscale difference, we can have a more comprehensive understanding of the morphology and optical properties of the colonies, which helps to more accurately evaluate the colony quality and growth.

[0079] By extracting characteristic data from the scanning electron microscopic image, the strain quality inspection indicator coefficient corresponding to each activated strain inoculated culture dish of the probiotic complex is generated based on the characteristic data, and the strain quality inspection indicator coefficient is used to quantitatively characterize the strain quality in the activated strain inoculated culture dish.

[0080] Furthermore, the strain quality inspection indicator coefficient corresponding to the culture dish inoculated with each activated strain of the probiotic complex is specifically generated under the following conditions:

[0081]

[0082] Among them, δ j represents the strain quality inspection index coefficient corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, α j represents the quality inspection index coefficient of the first strain corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, β j represents the quality inspection index coefficient of the second strain corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, α max Indicates the maximum value of the first strain quality inspection indicator coefficient, β max represents the maximum value of the second strain quality inspection indicator coefficient, ε1 represents the weight of the first strain quality inspection indicator coefficient, ε2 represents the weight of the second strain quality inspection indicator coefficient, j is the number of each activated strain inoculation culture dish, j=1,2,...,n, n represents the number of activated strain inoculation culture dishes.

[0083] It should be explained that the first strain quality inspection indicator coefficient weight and the second strain quality inspection indicator coefficient weight both have a value range between 0 and 1. The preset value can be directly extracted from the database, or a mapping comparison set of the first strain quality inspection indicator coefficient and the second strain quality inspection indicator coefficient and the weight can be constructed based on the relationship between the first strain quality inspection indicator coefficient and the second strain quality inspection indicator coefficient in the historical preparation information and the strain quality inspection indicator coefficient. In the embodiment, the actual first strain quality inspection indicator coefficient and the second strain quality inspection indicator coefficient are input one by one into the corresponding mapping comparison set to obtain the first strain quality inspection indicator coefficient weight and the second strain quality inspection indicator coefficient weight.

[0084] In this embodiment, the quality inspection index coefficient of the first strain corresponding to the culture dish inoculated with each activated strain of the probiotic complex and the quality inspection index coefficient of the second strain corresponding to the culture dish inoculated with each activated strain of the probiotic complex are analyzed, wherein the processing of the quality inspection index coefficient of the first strain depends on the colony density, the surface area of ​​the colony, and the diameter of the colony, and the processing of the quality inspection index coefficient of the second strain depends on the distribution spacing of the colony center, the length of the contour line of the outer edge of the colony, and the grayscale of the colony. These basic variables may affect each other. For example, a higher density means that the distance between the colonies is The closer the colony is, the smaller the center distribution spacing is. A larger colony surface area may reflect a more complex or longer outer edge contour line, resulting in an increase in the line length difference. The relationship between these basic variables reflects the complex interaction of colonies in the growth process. Colony density, colony surface area, colony diameter, colony center distribution spacing, colony outer edge contour line length and colony average grayscale not only independently affect the state presentation characteristics of the colony, but also affect the overall quality and performance of the colony through mutual correlation. Comprehensive consideration of these basic variables can more comprehensively evaluate and control the growth and quality of probiotics.

[0085] The weights of the first strain quality inspection indicator coefficient and the second strain quality inspection indicator coefficient are assigned values ​​of 0.4 and 0.6 respectively. Taking the five groups of activated strain inoculated culture dishes involved in this embodiment as example objects, the strain quality inspection indicator coefficients finally outputted are as follows:

[0086] Table 1 Examples of indicator coefficients for strain quality inspection

[0087]

[0088] Combined with the above table, it can be seen that the strain quality inspection indicator coefficient of activated strain inoculated culture dish 4 is at the highest value, indicating that compared with the other 4 groups of activated strain inoculated culture dishes, the strain quality level of activated strain inoculated culture dish 4 is the highest. Higher quality strains usually mean that under the same conditions, their growth rate and reproduction ability are stronger, and therefore they can provide more colonies in the same time. Using the highest quality strains for preparation can reduce operational errors because these strains are relatively more stable and reliable, and can provide more consistent and reliable results.

[0089] According to the strain quality inspection indicator coefficient corresponding to the culture dish inoculated with each activated strain of the probiotic complex, an activated strain verification label is generated and transmitted to the regulatory cloud center for autonomous prompting. The activated strain verification label includes samples of each defective strain and samples of each qualified strain. The regulatory cloud center can realize real-time update and viewing of the label information, so that relevant personnel can obtain the latest activated strain verification label at any time, thereby timely managing and monitoring the strain status.

[0090] In this embodiment, the specific generation process of the activated strain verification label is as follows: based on the strain quality inspection indicator coefficient corresponding to each activated strain inoculation culture dish of the probiotic complex, and compared with the strain quality inspection indicator threshold value pre-defined in the database, if the strain quality inspection indicator coefficient corresponding to a certain activated strain inoculation culture dish of the probiotic complex is lower than or equal to the strain quality inspection indicator threshold value, then the verification label of the activated strain inoculation culture dish is marked as a defective strain sample; conversely, if the strain quality inspection indicator coefficient corresponding to a certain activated strain inoculation culture dish of the probiotic complex is higher than the strain quality inspection indicator threshold value, then the verification label of the activated strain inoculation culture dish is marked as a qualified strain sample, and the strain quality inspection indicator coefficients corresponding to each activated strain inoculation culture dish of the probiotic complex are traversed in turn, and the defective strain samples and the qualified strain samples are collectively defined as the activated strain verification label.

[0091] The strain quality inspection indicator coefficient corresponding to each qualified strain sample is counted, and the qualified strain sample corresponding to the maximum value of the strain quality inspection indicator coefficient is extracted and recorded as the designated strain preparation sample of the probiotic complex.

[0092] In an embodiment, the present invention can select the strain preparation sample with the best quality for strain extraction by screening the designated strain preparation sample of the probiotic complex and extracting the pre-formulated strain of the probiotic complex therefrom. The high-quality strains usually have stronger biological activity and stability. The quality and efficacy of the prepared strains can be ensured through screening, thereby promoting the enhancement of the overall consistency and stability of the preparation of the probiotic composition.

[0093] The pre-formulated strains of the probiotic complex are mixed and stirred by a stirrer, and the stirring operation of the stirrer is sensed and adjusted, and the liquid after the mixing and stirring is marked as a liquid probiotic composition.

[0094] The stirrer utilizes the interaction between a magnetic stirrer and an external magnetic field to cause the magnetic stirrer in a liquid sample to rotate on a platform, thereby achieving mixing and stirring of the liquid sample. The stirrer is usually composed of a platform, an electric motor, a magnetic stirrer and a controller, and the stirring speed of the stirrer can be adjusted by the controller.

[0095] Specifically, the preformulated strains of the probiotic complex are mixed and stirred by a stirrer, and the stirring operation of the stirrer is sensed and adjusted. The specific process is: the suspension composed of the preformulated strains of the probiotic complex is recorded as the initial probiotic suspension, and the mixing parameters of the initial probiotic suspension are counted, and the mixing parameters include viscosity (measured by a viscometer, the unit is Pa·s), density (measured by a densitometer, the unit is g / cm 3 ) and volume (measured by a volumeter in mL).

[0096] The probiotic initial suspension is composed of pre-formulated strains of extracted probiotic complexes and physiological saline.

[0097] The mixing comparison parameters of the initial probiotic suspension are counted from the database, and the mixing comparison parameters include a target mixing viscosity, a target mixing density, and a reference mixing volume.

[0098] The target mixing viscosity and target mixing density are the ideal viscosity and density that the initial probiotic suspension needs to achieve after mixing, which are different from the reference mixing volume. The reference mixing volume is only used as a volume reference value and is usually set as an adaptation volume value for mixing.

[0099] Based on the mixing parameters and mixing comparison parameters of the initial probiotic suspension, the deviation between the mixing parameters and the mixing comparison parameters is statistically calculated and recorded as the mixing deviation parameter of the initial probiotic suspension, and a mixing deviation comprehensive ratio value of the initial probiotic suspension is generated. The mixing deviation comprehensive ratio value is used to characterize the mixing and stirring complexity of the initial probiotic suspension.

[0100] In this embodiment, the mixing deviation comprehensive ratio value of the initial suspension of probiotics is specifically generated by the following process: according to the mixing deviation parameters of the initial suspension of probiotics, wherein the mixing deviation parameters include mixing viscosity difference, mixing density difference and mixing volume difference, the mixing viscosity difference is ratioed with the reference mixing viscosity difference in the database to obtain a mixing viscosity deviation ratio value, the mixing density difference is ratioed with the reference mixing density difference in the database to obtain a mixing density deviation ratio value, the mixing volume difference is ratioed with the reference mixing volume difference in the database to obtain a mixing volume deviation ratio value, and the mixing viscosity deviation ratio value, the mixing density deviation ratio value and the mixing volume deviation ratio value are added to obtain the mixing deviation comprehensive ratio value of the initial suspension of probiotics.

[0101] Based on the comprehensive ratio value of the mixing deviation of the initial probiotic suspension, the value is imported into a bilateral symmetric model predefined in a database to extract the stirring execution parameters of the initial probiotic suspension, wherein the stirring execution parameters include stirring speed and stirring time.

[0102] In one embodiment, the bilaterally symmetrical model is a dual y-axis linear curve, the horizontal axes of the model construction are the comprehensive proportion of the mixing deviation, the dual y-axes are constructed by the stirring speed and the stirring time, respectively, and the linear curves corresponding to the stirring speed and the stirring time in the bilaterally symmetrical model satisfy the following functional relationship with the comprehensive proportion of the mixing deviation, respectively: Y1=62.5X+25, Y2=2.33X+10.33, wherein Y1 and Y2 represent the stirring speed and the stirring time, respectively, and X represents the comprehensive proportion of the mixing deviation.

[0103] Reference Figure 3 As shown, it is a schematic diagram of the bilateral symmetrical model involved in another embodiment. It can be seen in the figure that it is a dual y-axis linear model diagram, the horizontal axis is the comprehensive ratio of the mixing deviation, and the dual y-axes are the stirring speed and the stirring time, respectively. In the figure, the solid line represents the stirring speed, and the dotted line represents the stirring time. The larger the comprehensive ratio of the mixing deviation, the higher the corresponding stirring speed and stirring time. This is because when the comprehensive ratio of the mixing deviation is larger, the complexity of the stirring is higher, and it is necessary to appropriately increase the stirring speed and stirring time to allow the initial suspension of the probiotics to be fully and evenly stirred.

[0104] Based on the stirring execution parameters of the initial probiotic suspension, the stirring operation of the stirrer is controlled to be sensor-regulated.

[0105] The control performs sensing and adjustment on the stirring operation of the stirrer, that is, controls the stirrer to perform stirring operation at a stirring speed in the stirring execution parameters, and controls to stop stirring after the stirring time is satisfied.

[0106] In an embodiment, the present invention mixes and stirs the pre-formulated strains of the probiotic complex through a stirrer, and senses and adjusts the stirring operation of the stirrer. In the early stage of sensing, the stirring execution parameters are analyzed according to the mixing parameters of the initial probiotic suspension, which can effectively improve the rationality of resource utilization, avoid strain loss caused by excessive or insufficient stirring, protect the activity and functionality of the probiotics, further ensure that the probiotic suspension can reach the optimal mixing state, and make the sensing adjustment of the stirrer have higher adaptability and flexibility.

[0107] The liquid probiotic composition is processed by a vacuum freeze dryer, and the operation of the vacuum freeze dryer is adjusted by sensing, and the solid matter after vacuum freeze drying is recorded as a solid probiotic composition.

[0108] The vacuum freeze dryer is a device used to remove moisture from a liquid or wet liquid sample. Its main principle is to use low-temperature freezing and vacuum dehydration methods to convert the moisture in the sample into solid ice for direct sublimation, thereby drying the sample into powder without changing the structure and activity of the sample. In this embodiment, a freeze-drying protective agent needs to be added before the liquid probiotic composition is processed by the vacuum freeze dryer.

[0109] Specifically, the liquid probiotic composition is processed by a vacuum freeze dryer, and the operation of the vacuum freeze dryer is adjusted by sensing. The specific process is: obtaining the placement data of the liquid probiotic composition, the placement data including the total placement weight (measured by a weight sensor, in g) and the placement spreading area (measured by a scanner, in cm 2 ).

[0110] The placement data of each existing prepared finished product composition is collected from the database, and the placement similarity between the liquid probiotic composition and each existing prepared finished product composition is obtained through comparative analysis. The placement data is compared with the placement similarity threshold in the database, and several existing prepared finished product compositions with placement similarity higher than the placement similarity threshold are screened and recorded as reference prepared finished product compositions.

[0111] It should be noted that each of the existing formulated finished product compositions has been formulated and certified as an effectively formulated finished product composition.

[0112] In this embodiment, the placement similarity between the liquid probiotic composition and each existing prepared finished product composition, the specific comparison and analysis conditions are as follows:

[0113]

[0114] In the formula, Similarity(θ b ) is the placement similarity between the liquid probiotic composition and the bth existing prepared finished product composition, F is the total placement weight of the liquid probiotic composition, S is the placement spreading area of ​​the liquid probiotic composition, and F b is the total weight of the bth existing prepared product composition, S b is the placement spread area of ​​the bth existing prepared finished product combination, F0 is the placement weight reference value in the database, S0 is the placement spread area reference value in the database, b is the serial number of each existing prepared finished product combination, b=1, 2, ..., k, k is the number of existing prepared finished product combinations.

[0115] It should be noted that in the processing of the placement similarity between the above-mentioned liquid probiotic composition and each existing formulated finished product composition, the total placement weight and the placement spreading area of ​​the liquid probiotic composition are comprehensively considered. The effects of the placement weight and the spreading area on the similarity are synergistic. Considering both at the same time can more comprehensively reflect the physical properties of the composition, making the calculation of the similarity more accurate and reliable.

[0116] Based on the vacuum freeze-drying execution parameters of each existing formulated finished product composition stored in the database, the vacuum freeze-drying execution parameters of each reference formulated finished product composition are screened out, and the vacuum freeze-drying execution parameters include pre-freezing parameters, primary drying parameters and secondary drying parameters.

[0117] In this embodiment, the pre-freezing parameters include pre-freezing temperature and pre-freezing time, the primary drying parameters include cold trap temperature, primary vacuum degree, primary tray temperature and primary drying time, and the secondary drying parameters include secondary tray temperature, secondary vacuum degree and secondary drying time.

[0118] It is also worth noting that the operation of the vacuum freeze dryer in this embodiment is divided into three stages, namely the pre-freezing stage, the primary drying stage, and the secondary drying stage. Through the precise control of the above-mentioned vacuum freeze drying execution parameters, the smooth progress of the vacuum freeze drying process can be effectively ensured, and a high-quality solid probiotic composition can be obtained.

[0119] The vacuum freeze-drying execution parameters of each reference formulated finished product composition were averaged to obtain the vacuum freeze-drying execution parameters of the liquid probiotic composition.

[0120] As an example, the vacuum freeze-drying execution parameters of each reference prepared finished product composition are averaged, and the pre-freezing temperature in the pre-freezing parameter is taken as an example, the pre-freezing temperature of each reference prepared finished product composition is counted, and the summed average processing is performed to obtain the average execution pre-freezing temperature. In this way, the average execution pre-freezing time, the average execution cold trap temperature, the average execution primary vacuum degree, the average execution primary tray temperature, the average execution primary drying time, the average execution secondary tray temperature, the average execution secondary vacuum degree and the average execution secondary drying time are obtained one by one, and combined as the vacuum freeze-drying execution parameters of the liquid probiotic composition.

[0121] Based on the vacuum freeze drying execution parameters of the liquid probiotic composition, the control performs sensory adjustment on the operation of the vacuum freeze dryer.

[0122] The control performs sensing and regulation on the operation of the vacuum freeze dryer, that is, through the automatic control system of the vacuum freeze dryer, the parameters of the corresponding control device are adjusted to the corresponding predetermined values ​​in the vacuum freeze drying execution parameters in the pre-freezing stage, the primary drying stage and the secondary drying stage.

[0123] In an embodiment, the present invention processes the liquid probiotic composition through a vacuum freeze dryer, and performs sensor adjustment on the operation of the vacuum freeze dryer. By processing the placement data of the liquid probiotic composition, vacuum freeze drying execution parameters are obtained, which can maximize the protection of the biological activity and functionality of the probiotics, make the overall drying process more efficient, effectively reduce the drying time, and reduce energy consumption.

[0124] As a preferred embodiment, the probiotic composition network regulation method based on intestinal environmental homeostasis further includes: based on the solid probiotic composition, obtaining an inspection label of the solid probiotic composition through detection, wherein the inspection label indicates whether the inspection is qualified or unqualified.

[0125] The inspection label is based on the solid probiotic composition and transmitted to the regulatory cloud center for management.

[0126] In this embodiment, the inspection label based on the solid probiotic composition is transmitted to the supervision cloud center for management, specifically: if the inspection label of the solid probiotic composition is qualified, the solid probiotic composition is marked as a valid preparation composition, and the stirring execution parameters and vacuum freeze-drying execution parameters of the effective preparation composition are stored in the database for archiving; if the inspection label of the solid probiotic composition is unqualified, the solid probiotic composition is marked as an invalid preparation composition, and the warning information generated by the invalid preparation composition is transmitted to the receiving end of the relevant personnel through the supervision cloud center for preparation failure reminder.

[0127] Furthermore, the specific process of obtaining the inspection label of the solid probiotic composition through detection is: obtaining the finished product yield and the finished product moisture content of the solid probiotic composition through detection, and marking them as G and H respectively.

[0128] In this embodiment, the finished product yield refers to the ratio between the weight of the dry product finally obtained in the preparation process and the original weight of the liquid probiotic composition, and the finished product moisture content refers to the percentage of moisture contained in the dried product, which can be measured by a moisture meter.

[0129] The defined finished product yield and the defined finished product moisture content are extracted from the database and recorded as ΔG and ΔH respectively.

[0130] After comparison, if (G>ΔG)∧(H<ΔH) exists, the inspection label of the solid probiotic composition is defined as passed the inspection; if (G≤ΔG)∨(H≥ΔH) exists, the inspection label of the solid probiotic composition is defined as failed the inspection.

[0131] See also Figure 2 As shown, the second aspect of an embodiment of the present invention provides a probiotic composition network regulation system based on intestinal environmental homeostasis, including: a strain preparation sample data extraction module, which is used to count a number of complexes in the probiotic composition, recorded as probiotic complexes, and extract the strain preparation sample data of the probiotic complex from the supervision cloud center and input it into the data processing server.

[0132] The strain preparation sample data processing module is used to take over the strain preparation sample data of the probiotic complex through the data processing server for processing, synchronously screen the designated strain preparation samples of the probiotic complex, and extract the pre-formulated strains of the probiotic complex therefrom.

[0133] The agitator sensing and regulating module is used to mix and stir the pre-formulated strains of the probiotic complex through the agitator, and to perform sensing and regulation on the stirring operation of the agitator, so as to mark the mixed and stirred liquid as a liquid probiotic composition.

[0134] The vacuum freeze dryer sensing and regulating module is used to process the liquid probiotic composition through the vacuum freeze dryer, and to perform sensing and regulation on the operation of the vacuum freeze dryer, and to record the solid matter after vacuum freeze drying as the solid probiotic composition.

[0135] It should also be added that the probiotic composition network control system based on intestinal environmental homeostasis also includes a database in the embodiment, and the database is used to store various verification data, such as the standard microscopic image of the monomer colony involved in this embodiment, the mixing comparison parameters of the initial probiotic suspension, and the bilateral symmetry model, etc. The various verification data are verified by personnel through data collection and uploaded and stored in the database.

[0136] In an embodiment, the present invention provides a network regulation method and system for a probiotic composition based on intestinal environmental homeostasis, which first extracts the strain preparation sample data of the probiotic complex for processing, and then screens the specified strain preparation samples of the probiotic complex. Then, during the preparation process, the agitator and the vacuum freeze dryer are adaptively adjusted according to the characteristics of the probiotic composition, thereby solving the problems of insufficient regulation accuracy and poor adaptability caused by the current biological preparation using only a single mode of control switching.

[0137] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0138] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. A probiotic composition network regulation method based on intestinal environmental homeostasis, characterized in that: include: Counting a number of complexes in the probiotic composition, recording them as probiotic complexes, and extracting strain preparation sample data of the probiotic complexes from the regulatory cloud center and inputting them into the data processing server; The data processing server takes over the strain preparation sample data of the probiotic complex for processing, simultaneously screens the designated strain preparation samples of the probiotic complex, and extracts the pre-formulated strains of the probiotic complex therefrom; The preformulated strains of the probiotic complex are mixed and stirred by a stirrer, and the stirring operation of the stirrer is adjusted by sensing, and the liquid after the mixing and stirring is marked as a liquid probiotic composition; The liquid probiotic composition is processed by a vacuum freeze dryer, and the operation of the vacuum freeze dryer is adjusted by sensing, and the solid matter after vacuum freeze drying is recorded as a solid probiotic composition; The pre-formulated strains of the probiotic complex are mixed and stirred by a stirrer, and the stirring operation of the stirrer is sensed and adjusted. The specific process is as follows: The suspension composed of the preformulated strains of the probiotic complex is recorded as the initial probiotic suspension, and the mixing parameters of the initial probiotic suspension are counted, wherein the mixing parameters include viscosity, density and volume; Counting mixing comparison parameters of the initial probiotic suspension from a database, wherein the mixing comparison parameters include a target mixing viscosity, a target mixing density, and a reference mixing volume; Based on the mixing parameters and the mixing comparison parameters of the initial probiotic suspension, the deviation between the mixing parameters and the mixing comparison parameters is statistically calculated and recorded as the mixing deviation parameter of the initial probiotic suspension, and a mixing deviation comprehensive ratio value of the initial probiotic suspension is generated, and the mixing deviation comprehensive ratio value is used to characterize the mixing and stirring complexity of the initial probiotic suspension; Based on the comprehensive ratio value of the mixing deviation of the initial probiotic suspension, the value is imported into a bilateral symmetric model predefined in the database to extract the stirring execution parameters of the initial probiotic suspension, wherein the stirring execution parameters include stirring speed and stirring time; Based on the stirring execution parameters of the initial probiotic suspension, the stirring operation of the stirrer is controlled to be sensor-regulated.

2. The method for controlling the probiotic composition network based on intestinal environment homeostasis according to claim 1, characterized in that: The strain preparation sample data of the probiotic complex includes scanning electron microscopic images corresponding to the culture dishes inoculated with each activated strain.

3. The method for controlling the probiotic composition network based on the intestinal environment homeostasis according to claim 2, characterized in that: The specific process of preparing the sample of the designated strain of the screening probiotic complex is as follows: Counting scanning electron microscopic images corresponding to the culture dishes inoculated with each activated strain of the probiotic complex, and extracting characteristic data from the scanning electron microscopic images, thereby generating strain quality inspection indicator coefficients corresponding to the culture dishes inoculated with each activated strain of the probiotic complex based on the characteristic data, wherein the strain quality inspection indicator coefficients are used to quantitatively characterize the strain quality in the culture dishes inoculated with the activated strains; According to the strain quality inspection indicator coefficient corresponding to the culture dish inoculated with each activated strain of the probiotic complex, an activated strain verification label is generated and transmitted to the regulatory cloud center for autonomous prompting, wherein the activated strain verification label includes each defective strain sample and each qualified strain sample; The strain quality inspection indicator coefficient corresponding to each qualified strain sample is counted, and the qualified strain sample corresponding to the maximum value of the strain quality inspection indicator coefficient is extracted and recorded as the designated strain preparation sample of the probiotic complex.

4. The method for controlling the probiotic composition network based on intestinal environmental homeostasis according to claim 3, characterized in that: The specific process of extracting feature data from the scanning electron microscope image is as follows: Based on the scanning electron microscopic images corresponding to the culture dishes inoculated with each activated strain of the probiotic complex, the positions of each single colony are located, and the colony density, colony surface positive value difference, colony average diameter and each single colony microscopic image are counted; The colony density, the colony surface positive value difference, and the colony average diameter are collectively marked as the first characteristic element data; Based on the microscopic images of each monomer colony, the center point of each monomer colony is located therefrom, and the straight-line distance between the center point of each monomer colony and the center point of the culture dish inoculated with the corresponding activated strain is extracted, recorded as the center distribution distance of each monomer colony, and marked as the second characteristic element data; Compare each monomer colony microscopic image with a monomer colony standard microscopic image pre-defined in a database, extract the outer edge contour line length difference and the average grayscale difference between each monomer colony microscopic image and the monomer colony standard microscopic image, and mark them together as the third characteristic element data; The first characteristic element data, the second characteristic element data, and the third characteristic element data are collectively defined as characteristic data.

5. The method for network regulation of a probiotic composition based on intestinal environmental homeostasis according to claim 1, characterized in that: The liquid probiotic composition is processed by a vacuum freeze dryer, and the operation of the vacuum freeze dryer is sensed and adjusted. The specific process is as follows: Acquiring placement data of the liquid probiotic composition, wherein the placement data includes a total placement weight and a placement spreading area; Collecting the placement data of each existing prepared finished product composition from the database, obtaining the placement similarity between the liquid probiotic composition and each existing prepared finished product composition through comparison and analysis, and comparing with the placement similarity threshold in the database, screening a number of existing prepared finished product compositions with placement similarity higher than the placement similarity threshold, and recording them as reference prepared finished product compositions; Based on the vacuum freeze-drying execution parameters of each existing formulated finished product composition stored in the database, the vacuum freeze-drying execution parameters of each reference formulated finished product composition are screened out, wherein the vacuum freeze-drying execution parameters include pre-freezing parameters, primary drying parameters, and secondary drying parameters; The vacuum freeze-drying execution parameters of each reference formulated finished product composition are averaged to obtain the vacuum freeze-drying execution parameters of the liquid probiotic composition; Based on the vacuum freeze drying execution parameters of the liquid probiotic composition, the control performs sensory adjustment on the operation of the vacuum freeze dryer.

6. The method for network regulation of a probiotic composition based on intestinal environmental homeostasis according to claim 1, characterized in that: Also includes: Based on the solid probiotic composition, obtaining a test label of the solid probiotic composition through testing, wherein the test label indicates that the test is qualified or unqualified; The inspection label is based on the solid probiotic composition and transmitted to the regulatory cloud center for management.

7. The method for network regulation of a probiotic composition based on intestinal environmental homeostasis according to claim 6, characterized in that: The specific process of obtaining the inspection label of the solid probiotic composition by detection is as follows: The finished product yield and the finished product moisture content of the solid probiotic composition are obtained by testing and marked as G and H respectively; Extract the defined finished product yield and the defined finished product moisture content from the database and record them as ΔG and ΔH respectively; After comparison, if (G>ΔG)∧(H<ΔH) exists, the inspection label of the solid probiotic composition is defined as passed the inspection; if (G≤ΔG)∨(H≥ΔH) exists, the inspection label of the solid probiotic composition is defined as failed the inspection.

8. The method for network regulation of a probiotic composition based on intestinal environmental homeostasis according to claim 3, characterized in that: The strain quality inspection indicator coefficient corresponding to the inoculation culture dish of each activated strain of the probiotic complex is specifically generated under the following conditions: Among them, δ j represents the strain quality inspection index coefficient corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, α j represents the quality inspection index coefficient of the first strain corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, β j represents the quality inspection index coefficient of the second strain corresponding to the culture dish inoculated with the jth activated strain of the probiotic complex, α max Indicates the maximum value of the first strain quality inspection indicator coefficient, β max represents the maximum value of the second strain quality inspection indicator coefficient, ε1 represents the weight of the first strain quality inspection indicator coefficient, ε2 represents the weight of the second strain quality inspection indicator coefficient, j is the number of each activated strain inoculation culture dish, j=1,2,...,n, n represents the number of activated strain inoculation culture dishes.

9. A system using the probiotic composition network control method based on intestinal environment homeostasis as claimed in any one of claims 1 to 8, characterized in that: include: The strain preparation sample data extraction module is used to count a number of complexes in the probiotic composition, record them as probiotic complexes, and extract the strain preparation sample data of the probiotic complex from the supervision cloud center and input them into the data processing server; The strain preparation sample data processing module is used to take over the strain preparation sample data of the probiotic complex through the data processing server for processing, synchronously screen the designated strain preparation samples of the probiotic complex, and extract the pre-formulated strains of the probiotic complex therefrom; A stirrer sensing and regulating module, used for mixing and stirring the pre-formulated strains of the probiotic complex by means of a stirrer, sensing and regulating the stirring operation of the stirrer, and marking the mixed and stirred liquid as a liquid probiotic composition; The vacuum freeze dryer sensing and regulating module is used to process the liquid probiotic composition through the vacuum freeze dryer, and to perform sensing and regulation on the operation of the vacuum freeze dryer, and to record the solid matter after vacuum freeze drying as the solid probiotic composition.

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