Tea industry fusion control method and system based on cooperation of first industry, second industry and third industry

Abstract

The invention provides a tea industry fusion control method and system based on cooperation of first, second and third industries, and the method comprises the steps: S1, collecting raw material parameters in a first industry link, S2, setting processing parameters in a second industry link, and setting a corresponding processing parameter interval according to the raw material parameters; s3, in the three-industry link, performing application and feedback collection on the processed tea leaf finished product; s4, analyzing the terminal feedback data, including performing association analysis on the terminal feedback data and the corresponding processing parameters, and establishing a mapping relationship between the processing parameters and terminal performance; s5, the machining parameters are cooperatively regulated and controlled according to the mapping relation, and the machining parameters of the subsequent remachining batches are adjusted according to the mapping relation; and S6, forming a cooperative control closed loop, including repeatedly executing the steps S1-S5 to form a continuously operated first-second-third industry cooperative control closed loop.

Description

Technical Field

[0001] This invention proposes a tea industry integration control method and system based on the synergy of primary, secondary and tertiary industries, which relates to the field of tea industry technology. Background Technology

[0002] In the tea industry, existing technologies typically include:

[0003] The technologies related to primary production include tea variety selection, fresh leaf picking standards, and raw material grading and processing.

[0004] The technologies related to secondary industry include tea processing procedures, the setting of processing parameters (temperature, humidity, time, etc.), and the processing methods corresponding to different types of tea.

[0005] Among the technologies related to the tertiary industry are the methods of tea production in stores, terminal equipment, or consumption scenarios, as well as sensory evaluation or collection of consumer feedback.

[0006] The aforementioned technologies are relatively mature in their respective industrial segments, but most are implemented independently in a single segment.

[0007] In existing technical solutions, there is a stand-alone tea processing control scheme. In this type of scheme: the primary production side only provides raw materials; the secondary production side sets processing parameters based on experience or fixed standards; and the tertiary production side sells or exports the finished products. Even if there is end-user feedback, it is mostly used for post-event evaluation and does not directly affect the setting of processing parameters.

[0008] Among the existing technical solutions, there is a second type of solution. In this type of solution, the processing optimization scheme is based on experience. Some existing technologies attempt to adjust the processing technology according to market feedback, but its implementation method is usually as follows:

[0009] The solutions rely on manual summarization of experience; unstructured parameter adjustments; and a lack of systematic mapping relationships in the adjustment process. Such solutions still depend on personal experience and are difficult to replicate as a technical path.

[0010] In summary, the shortcomings of existing technologies include:

[0011] The industrial chain is fragmented, with a lack of technical data connectivity between primary, secondary, and tertiary industries; parameters at each stage cannot be coordinated and regulated.

[0012] The processing parameter control is lagging, including the inability of terminal feedback to act on the processing parameters in real time or in a structured manner; the parameter adjustment is random.

[0013] Insufficient batch stability, including significant quality fluctuations between different processing batches; lack of a continuous optimization mechanism.

[0014] The technical solutions are not replicable, including those relying on human experience; standardized technical methods are difficult to develop. Summary of the Invention

[0015] In view of this, in order to fill the gaps and deficiencies in the existing technology, this invention proposes a tea industry integration control method and system based on the synergy of primary, secondary and tertiary industries, so as to form an implementable and replicable synergistic control relationship among the primary, secondary and tertiary industries of the tea industry, thereby improving the stability and consistency of product output.

[0016] This invention proposes a tea industry integration control method and system based on the synergy of primary, secondary, and tertiary industries, including the following:

[0017] This invention proposes a tea industry integration control method based on the synergy of primary, secondary, and tertiary industries, characterized by the following:

[0018] Step S1: In one industrial chain, raw material parameters are collected, including basic parameter information of tea raw materials;

[0019] Step S2: In the secondary industry stage, the processing parameters are set, including setting the corresponding processing parameter range based on the raw material parameters; then the tea processing procedure is executed to obtain the finished tea product.

[0020] Step S3: In the three-industry chain, the finished tea products are applied and feedback is collected, including applying the finished tea products at the end of the three-industry chain and then collecting terminal feedback data from end users.

[0021] Step S4: Analyze the terminal feedback data, including performing correlation analysis between the terminal feedback data and the corresponding processing parameters, and establishing a mapping relationship between the processing parameters and the terminal performance;

[0022] Step S5: Coordinate the control of processing parameters according to the mapping relationship, including adjusting the processing parameters of subsequent batches according to the mapping relationship;

[0023] Step S6: Achieve the formation of a collaborative control closed loop, including forming a continuously operating collaborative control closed loop for the primary, secondary, and tertiary industries by repeatedly executing steps S1–S5.

[0024] Further, step S1 includes the following:

[0025] Step S11: Collect basic parameter information of tea raw materials, including information on the variety of tea raw materials, the picking grade of tea raw materials, and the raw material condition indicators of tea raw materials.

[0026] Step S12: Based on the basic parameter information of the collected tea raw materials, establish a standardized raw material feature vector R*;

[0027] The expression for R* is:

[0028] ;

[0029] in, This represents the basic parameters of the nth type of tea raw material;

[0030] Among them, the basic parameters of each tea raw material have been normalized in terms of dimensions.

[0031] Further, step S2 includes the following:

[0032] Step S21: In the secondary industry segment, processing parameters are set, including: processing temperature range,

[0033] Processing humidity range, processing time range, and staged water loss control parameters;

[0034] Step S22: Establish the parametric model function P0, including:

[0035] ;

[0036] Where W is the weight matrix and b is the bias parameter.

[0037] Further, step S3 includes the following:

[0038] Step S31: Collect terminal feedback data from end users, including sensory evaluation results; product stability indicators; and user preference data.

[0039] Step S32: Establish the comprehensive scoring function Q i This includes the following:

[0040] ;

[0041] Among them, A i Indicates sensory evaluation results; S i Indicates product stability index; C i This represents user preference data;

[0042] Among them, α+β+γ=1 is the adjustment coefficient; α+β+γ=1;

[0043] Step S33: Perform stability fluctuation calculations, including solving for the mean and variance:

[0044] ;

[0045] ;

[0046] Where σQ It represents the arithmetic variance.

[0047] Further, step S4 includes the following:

[0048] Step S41: Establish the mapping relationship between processing parameters and terminal performance, including establishing the mapping function and error function;

[0049] Step S411: Establishing the mapping function includes:

[0050] ;

[0051] Q pred Represents a mapping function;

[0052] Step S412: Establishing the error function includes:

[0053] ;

[0054] Where E represents the error function.

[0055] Further, step S5 includes the following:

[0056] Step S51: Coordinated control of processing parameters includes establishing parameter update rules, wherein the parameter update rules include the following:

[0057] ;

[0058] in, Indicates new processing parameters; This indicates the processing parameters that have not been updated, and η represents the empirical parameters.

[0059] Further, step S6 includes the following:

[0060] Step S61: Set a threshold δ to achieve control loop formation, where the arithmetic variance satisfies σ Q ≤ When δ is reached, it is considered that the closed-loop convergence is satisfied.

[0061] According to a second aspect of the present invention, the present invention proposes a tea industry integration control system based on the synergy of primary, secondary and tertiary industries, comprising an electronic device, wherein the electronic device includes a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that, when the processor executes the computer program, it implements a tea industry integration control method based on the synergy of primary, secondary and tertiary industries as described in any one of the present invention.

[0062] According to a third aspect of the present invention, the present invention proposes a tea industry integration control system based on the synergy of primary, secondary and tertiary industries, comprising a computer-readable storage medium storing a computer program, characterized in that, when the computer program is executed by a processor, it implements a tea industry integration control method based on the synergy of primary, secondary and tertiary industries as described in any one of the present invention.

[0063] The present invention has the following advantages:

[0064] To achieve data connectivity and coordinated control across industrial sectors, including addressing the lack of technical data connectivity between primary, secondary, and tertiary industries; and to enable coordinated regulation of parameters across all sectors.

[0065] Real-time tracking of processing parameter control is achieved, including real-time or structured feedback from the terminal to the processing parameters; parameter adjustment is controllable.

[0066] Achieve batch stability, including maintaining stable quality fluctuations between different processing batches; and implement continuous optimization mechanisms.

[0067] The technical solution is replicable, including the formation of standardized technical methods. Attached Figure Description

[0068] Figure 1 This is a schematic diagram of the steps of the present invention. Detailed Implementation

[0069] The technical solution of the present invention will now be described in detail with reference to the accompanying drawings.

[0070] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0071] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments of the present invention; as used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise; furthermore, it should be understood that when the terms “comprising” and / or “including” are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0072] like Figure 1 As shown, this invention proposes a tea industry integration control method and system based on the synergy of primary, secondary, and tertiary industries, characterized by the following:

[0073] This invention proposes a tea industry integration control method based on the synergy of primary, secondary, and tertiary industries, characterized by the following:

[0074] Step S1: In one industrial chain, raw material parameters are collected, including basic parameter information of tea raw materials;

[0075] Step S2: In the secondary industry stage, the processing parameters are set, including setting the corresponding processing parameter range based on the raw material parameters; then the tea processing procedure is executed to obtain the finished tea product.

[0076] Step S3: In the three-industry chain, the finished tea products are applied and feedback is collected, including applying the finished tea products at the end of the three-industry chain and then collecting terminal feedback data from end users.

[0077] Step S4: Analyze the terminal feedback data, including performing correlation analysis between the terminal feedback data and the corresponding processing parameters, and establishing a mapping relationship between the processing parameters and the terminal performance;

[0078] Step S5: Coordinate the control of processing parameters according to the mapping relationship, including adjusting the processing parameters of subsequent batches according to the mapping relationship;

[0079] Step S6: Achieve the formation of a collaborative control closed loop, including forming a continuously operating collaborative control closed loop for the primary, secondary, and tertiary industries by repeatedly executing steps S1–S5.

[0080] Further, step S1 includes the following:

[0081] Step S11: Collect basic parameter information of tea raw materials, including information on the variety of tea raw materials, the picking grade of tea raw materials, and the raw material condition indicators of tea raw materials.

[0082] Step S12: Based on the basic parameter information of the collected tea raw materials, establish a standardized raw material feature vector R*;

[0083] The expression for R* is:

[0084] ;

[0085] in, This represents the basic parameters of the nth type of tea raw material;

[0086] Among them, the basic parameters of each tea raw material have been normalized in terms of dimensions.

[0087] Further, step S2 includes the following:

[0088] Step S21: In the secondary industry segment, processing parameters are set, including: processing temperature range,

[0089] Processing humidity range, processing time range, and staged water loss control parameters;

[0090] Step S22: Establish the parametric model function P0, including:

[0091] ;

[0092] Where W is the weight matrix and b is the bias parameter.

[0093] Further, step S3 includes the following:

[0094] Step S31: Collect terminal feedback data from end users, including sensory evaluation results; product stability indicators; and user preference data.

[0095] Step S32: Establish the comprehensive scoring function Q i This includes the following:

[0096] ;

[0097] Among them, A i Indicates sensory evaluation results; S i Indicates product stability index; C i This represents user preference data;

[0098] Among them, α+β+γ=1 is the adjustment coefficient; α+β+γ=1;

[0099] Step S33: Perform stability fluctuation calculations, including solving for the mean and variance:

[0100] ;

[0101] ;

[0102] Where σ Q It represents the arithmetic variance.

[0103] Further, step S4 includes the following:

[0104] Step S41: Establish the mapping relationship between processing parameters and terminal performance, including establishing the mapping function and error function;

[0105] Step S411: Establishing the mapping function includes:

[0106] ;

[0107] Q pred Represents a mapping function;

[0108] Step S412: Establishing the error function includes:

[0109] ;

[0110] Where E represents the error function.

[0111] Further, step S5 includes the following:

[0112] Step S51: Coordinated control of processing parameters includes establishing parameter update rules, wherein the parameter update rules include the following:

[0113] ;

[0114] in, Indicates new processing parameters; This indicates the processing parameters that have not been updated, and η represents the empirical parameters.

[0115] Further, step S6 includes the following:

[0116] Step S61: Set a threshold δ to achieve control loop formation, where the arithmetic variance satisfies σ Q ≤ When δ is reached, it is considered that the closed-loop convergence is satisfied.

[0117] According to a second aspect of the present invention, the present invention proposes a tea industry integration control system based on the synergy of primary, secondary and tertiary industries, comprising an electronic device, wherein the electronic device includes a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that, when the processor executes the computer program, it implements a tea industry integration control method based on the synergy of primary, secondary and tertiary industries as described in any one of the present invention.

[0118] According to a third aspect of the present invention, the present invention proposes a tea industry integration control system based on the synergy of primary, secondary and tertiary industries, comprising a computer-readable storage medium storing a computer program, characterized in that, when the computer program is executed by a processor, it implements a tea industry integration control method based on the synergy of primary, secondary and tertiary industries as described in any one of the present invention.

[0119] In addition to the above, the present invention also has related embodiments, including the following:

[0120] In one embodiment of the present invention, the step S1 of establishing a standardized raw material feature vector R* includes first establishing

[0121] The raw material parameter vector R, where the expression for the raw material parameter vector R is:

[0122] R = [V, G, M0, T0, H0];

[0123] Where V represents the variety code, G represents the harvesting grade, M0 represents the initial moisture content (%), T0 represents the initial temperature of the raw material (°C), and H0 represents the ambient humidity of the raw material (%RH).

[0124] In one embodiment of the present invention, the processing parameter vector in step S2 is rewritten as:

[0125] P = [Tp, Hp, tp, kd];

[0126] Where Tp represents the processing temperature, Hp represents the processing humidity, tp represents the processing time, and kd represents the water loss rate coefficient.

[0127] In one embodiment of the present invention, the terminal evaluation vector in step S3 is rewritten as:

[0128] Q=[A,S,C]

[0129] Where A represents the aroma score; S represents the taste stability; and C represents the batch consistency index.

[0130] In one embodiment of the present invention, a moisture control model is also established:

[0131] ;

[0132] ;

[0133] Where M(t) represents moisture control; M0 represents the original moisture value, M target (t) represents the target moisture control.

[0134] Furthermore, taking the stabilization processing of white peony as an example, the present invention includes the following:

[0135] Set the threshold δ=0.5.

[0136] The raw material parameter vector R is:

[0137] R = [V, G, M0, T0, H0];

[0138] R=[BD01, 2, 74%, 22℃, 62%;

[0139] Normalizing R, we get:

[0140] R*=[0.65,0.52,0.74,0.44,0.58];

[0141] The normalized generalized expression is:

[0142] ;

[0143] Used to standardize dimensions.

[0144] Initialize the mapping processing parameters to obtain

[0145] P = [Tp, Hp, tp, kd];

[0146] P0=[26℃, 63%, 18h, 0.28];

[0147] Execute the moisture model:

[0148] ;

[0149] Simplifying, we get M(t) = 74e−0.28t.

[0150] Finally, the terminal feedback value was obtained.

[0151] Take Table 1 below as an example:

[0152] Table 1 Parameter Table 1

[0153] batch Ai Si Ci 1 86 84 88 2 87 85 87 3 85 86 89

[0154] Step 1: Calculate Q i

[0155] ;

[0156] Get weights: α=0.4, β=0.3, γ=0.3;

[0157] Q1=0.4×86+0.3×84+0.3×88=34.4+25.2+26.4=86.0;

[0158] Q2=0.4×87+0.3×85+0.3×87=34.8+25.5+26.1=86.4;

[0159] Q3=0.4×85+0.3×86+0.3×89=34.0+25.8+26.7=86.5;

[0160] Step 2: Calculate the mean:

[0161] ;

[0162] Step 3: Calculate stability:

[0163] ;

[0164] ;

[0165] Finally, σ is obtained. Q =0.24<δ=0.5;

[0166] The result met the requirements, and no parameter adjustment was needed.

[0167] In one embodiment of the present invention, as shown in Table 2 below:

[0168] Table 2 Parameter Table 2

[0169] batch Ai Si Ci 1 78 80 79 2 92 90 88 3 76 79 78

[0170] Step 1: Calculate Qi

[0171] Q1=78.9; Q2=90.2; Q3=77.5;

[0172] Step 3: Calculate stability:

[0173] ;

[0174] Error: e=σ Q −δ=5.185; parameter adjustment is required.

[0175] Furthermore, based on P=[Tp, Hp, tp, kd], the parameter tuning formula is set as follows:

[0176] Tp(new) = Tp(old) − η;

[0177] Hp(new) = Hp(old) − ηh;

[0178] kd(new) = kd(old) − ηk;

[0179] Learning rates: η=0.05, ηh=0.025, ηk=0.01;

[0180] Assume the old processing parameters for this batch are:

[0181] Tp(old)=26.0, Hp(old)=65.0, kd(old)=0.28;

[0182] renew:

[0183] Tp(new)=26.0−0.05×5.185=26.0−0.259=25.741;

[0184] Hp(new)=65.0−0.025×5.185=65.0−0.1296=64.8704;

[0185] kd(new)=0.28−0.01×5.185=0.28−0.05185=0.22815;

[0186] (If you need to add a constraint interval, you can truncate it again: Tp∈[20,30],Hp∈[55,70], kd∈[0.1,0.6], all of which are within the interval in this example.)

[0187] The above is a case study of the formula calculation for "one closed-loop iteration": from terminal fluctuation → calculating stability → generating error → correcting processing parameters in reverse.

[0188] The above are preferred embodiments of the present invention. Any changes made to the technical solution of the present invention that do not exceed the scope of the technical solution of the present invention shall fall within the protection scope of the present invention.

Claims

1. A tea industry integration control method based on the synergy of primary, secondary, and tertiary industries, characterized in that, Includes the following: Step S1: In one industrial chain, raw material parameters are collected, including basic parameter information of tea raw materials; Step S2: In the secondary industry stage, the processing parameters are set, including setting the corresponding processing parameter range based on the raw material parameters; then the tea processing procedure is executed to obtain the finished tea product. Step S3: In the three-industry chain, the finished tea products are applied and feedback is collected, including applying the finished tea products at the end of the three-industry chain and then collecting terminal feedback data from end users. Step S4: Analyze the terminal feedback data, including performing correlation analysis between the terminal feedback data and the corresponding processing parameters, and establishing a mapping relationship between the processing parameters and the terminal performance; Step S5: Coordinate the control of processing parameters according to the mapping relationship, including adjusting the processing parameters of subsequent batches according to the mapping relationship; Step S6: Achieve the formation of a collaborative control closed loop, including forming a continuously operating collaborative control closed loop for the primary, secondary, and tertiary industries by repeatedly executing steps S1–S5.

2. The tea industry integration control method based on the synergy of primary, secondary, and tertiary industries as described in claim 1, characterized in that, Step S1 includes the following: Step S11: Collect basic parameter information of tea raw materials, including information on the variety of tea raw materials, the picking grade of tea raw materials, and the raw material condition indicators of tea raw materials. Step S12: Based on the basic parameter information of the collected tea raw materials, establish a standardized raw material feature vector R*; The expression for R* is: ； in, This represents the basic parameters of the nth type of tea raw material; Among them, the basic parameters of each tea raw material have been normalized in terms of dimensions.

3. The tea industry integration control method based on the synergy of primary, secondary, and tertiary industries according to claim 2, characterized in that, Step S2 includes the following: Step S21: In the secondary industry segment, processing parameters are set, including: processing temperature range, Processing humidity range, processing time range, and staged water loss control parameters; Step S22: Establish the parametric model function P0, including: ； Where W is the weight matrix and b is the bias parameter.

4. The tea industry integration control method based on the synergy of primary, secondary, and tertiary industries as described in claim 3, characterized in that, Step S3 includes the following: Step S31: Collect terminal feedback data from end users, including sensory evaluation results and product stability indicators; User preference data; Step S32: Establish the comprehensive scoring function Q i This includes the following: ； Among them, A i Indicates sensory evaluation results; S i Indicates product stability index; C i This represents user preference data; Among them, α+β+γ=1 is the adjustment coefficient; α+β+γ=1; Step S33: Perform stability fluctuation calculations, including solving for the mean and variance: ； ； Where σ Q It represents the arithmetic variance.

5. The tea industry integration control method based on the synergy of primary, secondary, and tertiary industries according to claim 4, characterized in that, Step S4 includes the following: Step S41: Establish the mapping relationship between processing parameters and terminal performance, including establishing the mapping function and error function; Step S411: Establishing the mapping function includes: ； Q pred Represents a mapping function; Step S412: Establishing the error function includes: ； Where E represents the error function.

6. The tea industry integration control method based on the synergy of primary, secondary, and tertiary industries according to claim 5, characterized in that, Step S5 includes the following: Step S51: Coordinated control of processing parameters includes establishing parameter update rules, wherein the parameter update rules include the following: ； in, Indicates new processing parameters; This indicates the processing parameters that have not been updated, and η represents the empirical parameters.

7. The tea industry integration control method based on the synergy of primary, secondary, and tertiary industries as described in claim 6, characterized in that, Step S6 includes the following: Step S61: Set a threshold δ to achieve control loop formation, where the arithmetic variance satisfies σ Q ≤ When δ is reached, it is considered that the closed-loop convergence is satisfied.

8. A tea industry integration control system based on the synergy of primary, secondary, and tertiary industries, comprising an electronic device, wherein the electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements a tea industry integration control method based on the synergy of primary, secondary, and tertiary industries as described in any one of claims 1 to 7.

9. A tea industry integration control system based on the synergy of primary, secondary, and tertiary industries, comprising a computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements a tea industry integration control method based on the synergy of primary, secondary and tertiary industries as described in any one of claims 1 to 7.

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