Liupao tea leaf processing control method and system

Abstract

The embodiment of the invention provides a Liupao tea leaf processing control method and system. The method comprises the following steps: measuring the initial water content and leaf thickness of Liupao tea leaves subjected to fixation to obtain basic parameters of the tea leaves; determining the initial pressure and the predicted duration in the rolling process according to the basic parameters; the change data of the tea leaf cell breakage rate in the rolling process is collected in real time through online monitoring equipment; and dynamically adjusting rolling pressure and duration based on the change data so as to optimize the taste richness of the tea leaves. According to the scheme of the embodiment of the invention, the problem that the taste richness is influenced by the improper breakage rate of tea leaf cells can be solved.

Description

Technical Field

[0001] This application relates to the technical field of tea processing, and particularly to a method and system for controlling the processing of Liubao tea. Background Art

[0002] The processing of Liubao tea mainly improves the quality and taste of Liubao tea by optimizing and precisely controlling the key parameters in the processing process. It covers multiple processes such as tea leaf picking, fixation, rolling, and piling. For the rolling step, traditional methods often have difficulty precisely controlling the pressure and duration during rolling, resulting in an inappropriate rate of tea cell breakage and affecting the richness of the final tea taste. Therefore, how to intelligently adjust these parameters to make the proportion of damaged tea cells appropriate and maintain good extraction and conversion of its flavor substances has become an important problem to be solved by this method. Summary of the Invention

[0003] In view of this, embodiments of the present disclosure provide a method and system for controlling the processing of Liubao tea, which at least partially solve the problems existing in the prior art.

[0004] A method for controlling the processing of Liubao tea in this application includes:

[0005] Measuring the initial moisture content and leaf thickness of the Liubao tea leaves after fixation to obtain the basic parameters of the tea leaves;

[0006] Determining the initial pressure and the expected duration during the rolling process according to the basic parameters;

[0007] Using an on-line monitoring device to collect the change data of the tea cell breakage rate in real time during the rolling process;

[0008] Dynamically adjusting the rolling pressure and duration based on the change data to optimize the richness of the tea taste.

[0009] In a specific embodiment, the dynamically adjusting the rolling pressure and duration based on the change data to optimize the richness of the tea taste further includes:

[0010] Collecting the cell breakage rate D in the current time period in real time;

[0011] Estimating the ideal breakage rate D_ideal in the next time period based on the change trend of the cell breakage rate;

[0012] Dynamically adjusting the rolling pressure P through the formula P = k1×(D_ideal - D)+P0, where P0 is the initial rolling pressure and k1 is an adjustment coefficient used to represent the response degree to the difference between the target breakage rate and the actual breakage rate;

[0013] If D > Dth, reduce the duration t; otherwise, extend the duration to keep the tea leaf cell breakage within an appropriate range, where Dt is the predetermined threshold of cell breakage rate.

[0014] In a specific embodiment, the dynamically adjusting the rolling pressure and duration based on the change data to optimize the richness of tea taste further includes:

[0015] Record the cell breakage rate R_old before the previous adjustment point and the current cell breakage rate R_current in real time;

[0016] Judge whether the increasing trend of the breakage rate is stable based on the record: ΔR = |R_old - R_current| / R_old;

[0017] When ΔR is less than the set proportional parameter a and the continuous monitoring times exceed the set times b, it is considered that the current breakage trend is stable; otherwise, the parameters need to be adjusted again;

[0018] Calculate the optimal time T_best to be maintained based on the adjusted breakage rate.

[0019] In a specific embodiment, the dynamically adjusting the rolling pressure and duration based on the change data to optimize the richness of tea taste further includes:

[0020] Monitor the cell breakage speed V_broken during each rolling process and calculate the cumulative amount C_accu within a period of time as the basis for adjustment;

[0021] In the middle stage of rolling, use the cumulative amount feedback to decide whether to increase or decrease the pressure. Specifically, C_reflex = max(C_accu - C_std, 0), where C_std is the standard cumulative value;

[0022] When C_accu >= threshold2 in the later stage of rolling, start the protection mechanism;

[0023] If C_accu >= threshold2, determine the pressure reduction coefficient A through the formula A = exp(k2 × (V_broken / V_max)), where k2 is the attenuation rate factor and V_max represents the maximum acceptable breakage speed, so as to reduce the risk of damage to the tea leaves.

[0024] In a specific embodiment, the dynamically adjusting the rolling pressure and duration based on the change data to optimize the richness of tea taste further includes:

[0025] Set up a phased threshold array S[i] to mark the desired cell breakage levels at different stages;

[0026] During each stage, the difference E_i = D_stage - S[i] between the existing cell breakage level and the expected threshold is compared in real time, where D_stage represents the real-time cell breakage rate at the current stage;

[0027] If it is found before the end of a certain stage that the actual deviation exceeds the tolerance limit E_limit, the ideal time for the next stage is calculated through the formula T_next = (S[i + 1] - D_stage) × f(E_ratio, E_i) to compensate for the previous error; E_ratio is used to characterize the proportion of the previous breakage rate deviation, and the f function describes the linear growth law of the compensation time;

[0028] Switch to the next processing parameter configuration combination earlier or later according to the calculation results.

[0029] In a specific embodiment, the dynamic adjustment of the rolling pressure and duration based on the change data to optimize the richness of the tea taste further includes:

[0030] Set a specific performance weight w[i] for each stage of the rolling process;

[0031] Construct a comprehensive evaluation index based on multiple factors Calculate the quality score completed in the current process, where S_goal is the standard value of the target state;

[0032] Use the formula F_adj = g(CI_last, CI_curr, w_adj) to adjust the rolling force adjustment ratio, where F_adj represents the strength ratio of this adjustment, CI_last and CI_curr respectively represent the CI index values calculated in the last two times, and w_adj is the specific gravity function that controls the maximum correction amplitude each time.

[0033] In a specific embodiment, the dynamic adjustment of the rolling pressure and duration based on the change data to optimize the richness of the tea taste further includes:

[0034] Estimate the future optimal breakage state through the change trend of the tea cell breakage rate;

[0035] Set the target cell breakage rate range based on the estimated breakage state, and adjust the current rolling conditions accordingly;

[0036] If CBR_current >= CBR_target + ΔCBR × K and CBR_previous <= CBR_target - ΔCBR / (K + Δ), then reduce the rolling pressure; otherwise, increase the rolling pressure, where CBR_current represents the currently detected cell breakage rate, CBR_target is the target cell breakage rate, ΔCBR is the cell breakage rate threshold difference, K is the weight factor, and Δ is a small positive value set to prevent division by zero;

[0037] When the target range is reached, the system automatically takes this set of rolling conditions as the basic parameters for subsequent processing of the same type of tea.

[0038] In a specific embodiment, setting the target cell breakage rate range based on the estimated rupture state and adjusting the current rolling conditions accordingly further includes:

[0039] Collect real-time cell breakage rate data points once every fixed period T;

[0040] Predict the cell structure destruction process based on the preset time window W and step size S;

[0041] If W / S × N > R, where W represents the width of the time window, S is the step size, N is the number of samples within the time window, and R is a scaling factor, then extend the next measurement period T = γ * T, otherwise maintain the original period unchanged, where γ > 1 and is the adjustment coefficient.

[0042] This application also provides a Liubao tea processing control system, including:

[0043] A measuring device that obtains the basic parameters of the tea by measuring the initial moisture content and leaf thickness of the Liubao tea;

[0044] A parameter determination module that determines the initial pressure and expected duration during the rolling process based on the basic parameters;

[0045] A collection module that uses on-line monitoring equipment to collect the change data of the cell breakage rate of the tea during the rolling process in real time;

[0046] An adjustment module that dynamically adjusts the rolling pressure and duration based on the change data to optimize the taste richness of the tea.

[0047] An embodiment of the present disclosure provides a method for controlling the processing of Liubao tea leaves, including: obtaining the basic parameters of the tea leaves by measuring the initial moisture content and leaf thickness of the Liubao tea leaves after the fixation treatment; determining the initial pressure and the expected duration during the rolling process according to the basic parameters; using an on-line monitoring device to collect the change data of the cell breakage rate of the tea leaves in real time during the rolling process; dynamically adjusting the rolling pressure and duration based on the change data to optimize the taste richness of the tea leaves. Through the solution of the embodiment of the present disclosure, the problem that the inappropriate cell breakage rate of the tea leaves affects the taste richness can be solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present disclosure, the following will briefly introduce the drawings required in the embodiments. It should be understood that the following drawings only show some embodiments of the present disclosure, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can also be obtained based on these drawings without creative efforts.

[0049] Figure 1 is a flowchart of a method for controlling the processing of Liubao tea leaves;

[0050] Figure 2 is a flowchart of dynamically adjusting the rolling pressure and duration based on the change data to optimize the taste richness of the tea leaves in the second embodiment of the present application;

[0051] Figure 3 is a flowchart of dynamically adjusting the rolling pressure and duration based on the change data to optimize the taste richness of the tea leaves in the third embodiment of the present application;

[0052] Figure 4 is a flowchart of dynamically adjusting the rolling pressure and duration based on the change data to optimize the taste richness of the tea leaves in the fourth embodiment of the present application;

[0053] Figure 5 is a flowchart of dynamically adjusting the rolling pressure and duration based on the change data to optimize the taste richness of the tea leaves in the fifth embodiment of the present application;

[0054] Figure 6 is a flowchart of dynamically adjusting the rolling pressure and duration based on the change data to optimize the taste richness of the tea leaves in the sixth embodiment of the present application;

[0055] Figure 7 is a flowchart of dynamically adjusting the rolling pressure and duration based on the change data to optimize the taste richness of the tea leaves in the seventh embodiment of the present application;

[0056] Figure 8It is a flowchart of the present application for setting a target cell breakage rate range based on the estimated rupture state and adjusting the current rolling conditions accordingly;

[0057] Figure 9 It is a structural diagram of the Liubao tea processing control system of the present application. Detailed implementation manners

[0058] The following describes the embodiments of the present disclosure in detail with reference to the accompanying drawings.

[0059] The following illustrates the embodiments of the present disclosure through specific specific examples. Those skilled in the art can easily understand other advantages and effects of the present disclosure from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments. The present disclosure can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present disclosure without creative efforts belong to the scope of protection of the present disclosure.

[0060] It should be noted that the following describes various aspects of the embodiments within the scope of the appended claims. It should be obvious that the aspects described herein can be embodied in a wide variety of forms, and any specific structure and / or function described herein is illustrative only. Based on the present disclosure, those skilled in the art should understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects described herein can be used to implement the device and / or practice the method. In addition, this device and / or this method can be implemented using other structures and / or functions in addition to one or more of the aspects described herein.

[0061] It should also be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present disclosure schematically. The diagrams only show the components related to the present disclosure and are not drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and ratio of each component in its actual implementation can be an arbitrary change, and the component layout type may also be more complex.

[0062] In addition, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, those skilled in the art will understand that the described aspects can be practiced without these specific details.

[0063] Next, with reference to the accompanying drawings, a method and system for controlling the processing of Liubao tea leaves of the present invention will be described.

[0064] First, with reference to Figure 1 , a method for controlling the processing of Liubao tea leaves of the present invention will be described. The method includes:

[0065] S101: Measure the initial water content and leaf thickness of the Liubao tea leaves after fixation to obtain the basic parameters of the tea leaves. Specifically, before entering the rolling stage, a high-precision water content measuring device is used to sample and analyze the Liubao tea leaf samples that have undergone fixation treatment. The measuring tool can directly contact the leaves and record the average value of multi-point data in real time to obtain accurate data representing the initial moisture of the entire batch of tea leaves. For the measurement of leaf thickness, image processing technology and ultrasonic detection are combined to scan the leaf structure in a fast and non-destructive manner to ensure that the thickness of each layer is accurately measured.

[0066] In a specific embodiment, a microwave moisture meter can be used to measure the water content of the Liubao tea leaves after fixation, record the initial water content W0, and a leaf thickness meter can be used to measure the leaf thickness of the tea leaves and record the leaf thickness T; then the initial water content W0 can be compared with a preset water content threshold Wth. If W0 > Wth, it is marked as high-water-content tea leaves, otherwise it is marked as low-water-content tea leaves; and according to the leaf thickness T and a preset thickness threshold Tth, if T > Tth, it is marked as thick-leaf tea leaves, otherwise it is marked as thin-leaf tea leaves.

[0067] S102: Determine the initial pressure and the expected duration during the rolling process according to the basic parameters. The core of this step is to use a pre-constructed database or algorithm model to calculate a suitable starting parameter combination. The database contains a large amount of growth characteristics of tea leaves of different types and under different environments and their corresponding optimal processing conditions. According to the obtained specific indicators such as the initial water content and the thickness of the leaves, with the support of a mathematical algorithm, the initial configuration that best suits the characteristics of the tea leaves to be processed can be found. For example, for a batch of Liubao tea primary processing raw materials with high tenderness, a smaller pressure starting value is given to avoid excessive damage to the cell structure and affect the taste. And, this stage will also consider factors such as the finished product requirements and market demand to set a general target cycle range for subsequent adjustment.

[0068] In a more specific embodiment, the initial pressure P0 is calculated according to the initial water content W0 and the leaf thickness T. If W0 > Wth and T > Tth, then P0 = Phigh; if W0 ≤ Wth and T ≤ Tth, then P0 = Plow; in other cases, P0 = Pmid. Then, according to the initial water content W0, the predicted duration t is calculated, where t = t0 + k × (W0 - Wref), where t0 is the reference time, k is the proportionality coefficient, and Wref is the reference water content. And if the leaf thickness T > Tth, the predicted duration t is increased by Δt. And if the initial water content W0 is lower than the set minimum water content threshold Wmin, the initial pressure P0 is reduced to Pmin.

[0069] S103: Use an on-line monitoring device to collect the change data of the tea leaf cell breakage rate in real time during the rolling process. Here, a group of micro sensors installed inside the manipulator or close to the periphery of the rolling disc can be used, and through the built-in algorithm, it is converted into a form that is easy to recognize and understand, such as directly showing the breakage percentage, the number of intact units, or a color-coded graph, to intuitively reflect the current damage situation. In addition, relevant information such as temperature and humidity should also be included in the collection list, so as to form a more three-dimensional and complete evaluation criterion for dynamic regulation. This measure ensures that the production team can grasp the product quality trend in the first time and then take actions quickly.

[0070] In a specific embodiment, a pressure sensor and an image acquisition device can be installed on the rolling equipment to monitor the rolling pressure and the tea leaf morphology in real time. And at every fixed time interval Δt, a tea leaf image is collected and the cell breakage rate Cn is calculated. Specifically, the processed leaf can be photographed, then the background is removed using the Otsu method, the leaf area is cropped, and the target color (such as the color of tea pigment) is selected for similarity evaluation. Finally, the cell breakage area is segmented by a fixed threshold, and the ratio of the breakage area to the outer contour area of the leaf is calculated to obtain the cell breakage rate. In this application, if the change amount of the cell breakage rate ΔC = Cn - Cn-1 between two adjacent acquisitions is greater than the preset threshold ΔCth, it is marked as the rapid breakage stage. If the cell breakage rate Cn reaches the set target breakage rate Ctarget, the acquisition is stopped and the final breakage rate is recorded.

[0071] S104: Dynamically adjust the rolling pressure and duration based on the change data to optimize the richness of the tea taste. In this application, once it is found that the cell breakage ratio is lower than expected, the pressure is appropriately reduced and the process interval time is extended, so that the material can release the internal quality components more fully without being overly damaged and losing the natural flavor characteristics. On the contrary, if the monitoring result indicates that it has reached the upper limit of the warning line, the external force needs to be immediately reduced and the total duration is reduced according to the specific situation to avoid further exacerbation of the deterioration risk. Every detail in the entire process closed-loop is carefully controlled to achieve the perfect quality balance point.

[0072] In a specific embodiment, the pressure adjustment amount ΔP = kp×ΔC can be calculated according to the difference ΔC = Ctarget - Cn between the cell breakage rate Cn and the preset target breakage rate Ctarget, where kp is the pressure adjustment coefficient; if ΔC > ΔCth, the rolling pressure Pn = Pn-1 + ΔP is increased; otherwise, the rolling pressure Pn = Pn-1 - ΔP is decreased; in addition, if the cell breakage rate Cn reaches the target breakage rate Ctarget, it is judged according to the remaining time Tre and the preset minimum time threshold tmin. If Tre > tmin, the rolling time is shortened; if the cell breakage rate does not reach the target breakage rate and the remaining time is insufficient, the final pressure is adjusted according to the formula Pf = Pn + kf×(Ctarget - Cn), and the rolling time is extended to the minimum time threshold.

[0073] Next, refer to Figure 2 to describe the steps of dynamically adjusting the rolling pressure and duration based on the changing data to optimize the richness of the tea taste in the second embodiment of the present invention.

[0074] S201: Real-time collect the cell breakage rate D within the current time period. This step means that during the processing of Liubao tea, the cell breakage rate of the tea sample is detected at specific time intervals through a sensor installed in the machine, so as to obtain the exact value at this time point.

[0075] In a specific embodiment, at the start of the current time period, the cell breakage rate detection device is started, and the initial cell breakage rate D0 is recorded; within the current time period, the cell breakage rate Di is collected every time interval Δt, where i is the number of collections, i≥1; the average cell breakage rate D within the current time period is calculated, and the formula is where n is the number of collections within the current time period; and it is judged whether D satisfies the formula D≥Dmin, where Dmin is the minimum threshold of the cell breakage rate. If it is satisfied, D is used as the cell breakage rate within the current time period.

[0076] S202: Estimate the ideal breakage rate D_ideal in the next time period based on the change trend of the cell breakage rate. This operation relies on a series of previous monitoring data, and the upcoming value is calculated through historical data analysis and modeling, aiming to make the rolling process better meet the expected goal.

[0077] In a specific embodiment, the change rate ΔD of the cell breakage rate within the current time period can be calculated, and the formula is where ΔT is the duration of the current time period; based on the change rate ΔD, the change trend of the cell breakage rate is judged. If ΔD > 0, the cell breakage rate shows an upward trend; if ΔD < 0, the cell breakage rate shows a downward trend; according to the change trend, the adjustment coefficient k2 of the ideal breakage rate D_ideal is set. If the cell breakage rate shows an upward trend, then k2 = k2_up; if the cell breakage rate shows a downward trend, then k2 = k2_down, where k2_up and k2_down are preset adjustment coefficients; according to the formula D_ideal = D + k2×ΔD, the ideal breakage rate D_ideal in the next time period is calculated. If D_ideal > Dmax, then Dmax is taken as the ideal breakage rate, where Dmax is the maximum threshold of the cell breakage rate.

[0078] S203: Through the formula P = k1 × (D_ideal - D) + P0 to dynamically adjust the rolling pressure P, where P0 is the initial rolling pressure and k1 is the adjustment coefficient, which is used to represent the response degree to the difference between the target breakage rate and the actual breakage rate. To dynamically adjust the rolling pressure P, the formula P = k1 × (D_ideal - D) + P0 is used to achieve automatic control. Here, P represents the new rolling pressure setting; k1, as the adjustment coefficient, determines the response speed of the system to the difference between the actual value and the target. Its value should be selected within [0,1] to ensure fast and stable adjustment without excessive oscillation; D_ideal - D reflects the gap between the two, and P0 represents the base value set under the initial conditions, usually equal to the default starting configuration parameters of the machine.

[0079] In a more specific embodiment, the difference ΔD_diff between the target breakage rate and the actual breakage rate can be calculated first. The formula is ΔD_diff = D_ideal - D; then it is judged whether ΔD_diff satisfies the formula |ΔD_diff| ≤ ΔD_th, where ΔD_th is the threshold of the breakage rate difference. If it is satisfied, the current rolling pressure P0 remains unchanged; if ΔD_diff > ΔD_th, the rolling pressure P is increased according to the formula P = P0 + k1×ΔD_diff; if ΔD_diff < -ΔD_th, the rolling pressure P is decreased according to the formula P = P0 - k1×ΔD_diff. Finally, it is also necessary to judge whether the adjusted rolling pressure P satisfies the formula Pmin ≤ P ≤ Pmax, where Pmin and Pmax are the minimum and maximum values of the rolling pressure respectively. If it is not satisfied, P is restricted between Pmin and Pmax.

[0080] S204: If D > Dth, reduce the duration t; otherwise, extend the duration t so that the tea leaf cell breakage is within an appropriate range, where Dt is the predetermined threshold of the cell breakage rate. When the cell breakage rate D exceeds the predefined threshold Dt, it indicates that the rolling may be too intense, so the duration t is appropriately reduced to avoid excessive damage to the tea leaf cells. On the other hand, if the detected cell breakage rate is lower than this predetermined level, an appropriate increase in the duration can be considered to bring the cell breakage closer to the optimal region.

[0081] Specifically, the magnitude relationship between the current cell breakage rate D and the predetermined threshold Dth of the cell breakage rate can be judged; if D > Dth, according to the formula t_new = t_old×(1 - α), reduce the duration t, where t_old is the current duration and α is the time adjustment coefficient, 0 < α < 1; if D ≤ Dth, according to the formula t_new = t_old×(1 + β), extend the duration t, where β is the time adjustment coefficient, 0 < β < 1; and it is necessary to judge whether the adjusted duration t_new satisfies the formula t_min ≤ t_new ≤ t_max, where t_min and t_max are the minimum and maximum values of the duration respectively. If not satisfied, t_new is restricted between t_min and t_max, that is, the duration is set to t_min or t_max respectively.

[0082] In one embodiment, assume that a standard process is to roll a batch of newly picked tender leaves. At the beginning, the initial rolling pressure is set to 10 kg / cm 2 (P0 = 10), and an appropriate adjustment factor k1 = 0.5 is determined. At this time, the actual breakage rate D = 8% measured at the first sampling moment is recorded by the monitoring device, and at the same time, the ideal degree D_ideal = 12% that should be achieved after the next measurement cycle is preset according to the existing model. According to the above formula, it is calculated that the rolling force to be applied during this period should be adjusted to P = 0.5*(12% - 8%) + 10 = 12 kg / cm 2 , and continue to observe the effect for the next round of optimization.

[0083] This process based on the feedback mechanism ensures that the entire rolling period is within a reasonable and controllable range, which can not only improve work efficiency but also ensure that the product quality is always at a high standard level.

[0084] Next, refer to Figure 3 , and describe the steps of dynamically adjusting the rolling pressure and duration based on the changing data to optimize the richness of the tea taste in the third embodiment of the present invention.

[0085] S301: Record the cell breakage rate R_old before the previous adjustment point and the current cell breakage rate R_current in real time. During the processing of Liubao tea, the real-time monitoring system continuously tracks tea samples during the rolling process. The system first saves the data values of two variables, the cell breakage rate R_old at the previous moment and the current detected value R_current, for subsequent comparison. Here, the cell breakage rate is an important indicator for evaluating the impact of the rolling process, reflecting the situation of the cell walls of tea greens being broken under mechanical action. It usually ranges from 0 (undamaged) to 100%, and the ideal value depends on the type of tea being made. However, if it is too high, the tea soup may be too strong or have astringency, and if it is too low, it may not meet the requirements for sufficient fermentation.

[0086] S302: Judge whether the trend of the increasing breakage rate is stable based on the record: ΔR = |R_old - R_current| / R_old. Then the system will apply the formula ΔR = |R_old - R_current| / R_old to calculate the change amplitude ratio of the cell breakage rate, where ΔR represents the absolute amount of relative breakage increase or decrease per unit time divided by the breakage level in the previous period. Here, R_old must be non-zero to prevent the denominator from being 0. The set proportional parameter a generally ranges in the interval (0, 1), that is, less than 100%, and the preferred range is around 2% - 15%.

[0087] S303: When ΔR is less than the set proportional parameter a and the number of consecutive monitoring times exceeds the set number b, it is considered that the current breakage trend is stable; otherwise, the parameters need to be adjusted again. The threshold b for the number of consecutive monitoring times depends on the operating characteristics of the rolling equipment and process requirements, and may be about 3 - 8 times. The purpose of this is to ensure that there is sufficient evidence to prove that the impact of the current operation on the tea sample indeed conforms to the expected pattern and is not caused by accidental fluctuations. If the breakage rate trend is not stable enough, after determining that ΔR is always greater than or equal to a for at least b times, the parameter adjustment mechanism is started. This can avoid unnecessary changes caused by short-term errors and ensure product quality consistency. For example, in an embodiment, when it is found that the breakage signs showing a significant increase exceed the set limit in four consecutive detections, it is considered that the parameters need to be recalibrated.

[0088] That is to say, in this application, when ΔR < a, record the current change rate ΔR and increment the monitoring times n by 1; judge whether the monitoring times n exceed the set number b, where b is the preset threshold for the number of consecutive monitoring times, b ≥ 1; if n ≤ b, continue to monitor the cell breakage rate and re-record the cell breakage rate; if n > b, it is considered that the current cell breakage rate trend is stable, and proceed to the next step to calculate the optimal time T_best.

[0089] S304: Calculate the optimal time \(T_{best}\) to be maintained based on the adjusted breakage rate. Finally, under the condition of determining stability, the above information will be used to guide the work setting of the next cycle. For example, in a specific case, if the breakage rate reaches a stable level, it means that enough effective substances have been properly released. At this time, an ideal kneading maintenance time \(T_{best}\) can be obtained according to the accumulated experience value or experimental model, and the work strategy for a period of time in the future can be planned accordingly. Specifically, for example, through multiple small-batch trials of a certain high-grade Liubao tea, it is summarized that when the breakage rate is 46.7%, continuing light kneading for 9 minutes can obtain the best aroma and taste effects. Therefore, this time period is set as the new target parameter and executed until the next detection and adjustment opportunity appears.

[0090] In a more specific embodiment, the adjustment coefficient \(k\) of the breakage rate can be calculated based on the stable cell breakage rate \(R_{current}\) and the preset target breakage rate \(R_{target}\), and the formula is \(k = R_{target} / R_{current}\); then, according to the adjustment coefficient \(k\), calculate the optimal time \(T_{best}\) to be maintained, and the formula is \(T_{best}=k\times T_{base}\), where \(T_{base}\) is the preset base time; and determine whether the calculated optimal time \(T_{best}\) satisfies the formula \(T_{min}\leq T_{best}\leq T_{max}\), where \(T_{min}\) and \(T_{max}\) are the preset minimum and maximum durations respectively; if \(T_{best}\) is not within the range of \([T_{min},T_{max}]\), then limit \(T_{best}\) within this range, and use the adjusted \(T_{best}\) as the new estimated duration.

[0091] Next, refer to Figure 4 , and describe the steps of dynamically adjusting the kneading pressure and duration based on the change data to optimize the richness of the tea taste in the fourth embodiment of the present invention.

[0092] S401: Monitor the speed \(V_{broken}\) of cell breakage during each kneading process, and calculate the cumulative amount \(C_{accu}\) within a period of time as the adjustment basis. For example, in a specific kneading process of Liubao tea, the breakage speed of the current batch of tea leaves and its total accumulation within the previous 15 minutes are collected and calculated every 5 minutes to determine whether it is necessary to change the kneading parameters.

[0093] S402: In the middle stage of rolling, cumulative amount feedback is used to determine whether to increase or decrease the pressure. Specifically, C_reflex = max(C_accu - C_std, 0), where C_std is the standard cumulative value. After the rolling enters the middle stage, the rolling pressure is adjusted through the existing cumulative amount feedback information. The specific adjustment method is to calculate the maximum deviation from the relative standard damage value, C_reflex = max(C_accu - C_std, 0). Here, C_std represents the expected damage standard cumulative value during the preset normal rolling process. This index ensures that the rolling is sufficient while avoiding excessive damage to the tea leaves and maintaining an appropriate breakage rate.

[0094] More specifically, in the present application, first calculate the cumulative amount deviation ΔC = C_accu - C_std, and determine whether ΔC is greater than 0. If ΔC ≤ 0, then C_reflex = 0, and the current pressure remains unchanged; if ΔC > 0, then calculate the feedback value according to the formula C_reflex = ΔC; and adjust the rolling pressure according to C_reflex. If C_reflex > C_th, where C_th is a preset threshold, then reduce the pressure; if C_reflex < C_th, then increase the pressure.

[0095] S403: When in the late stage of rolling where C_accu >= threshold2, start the protection mechanism. When it is determined that the rolling is approaching the late stage, that is, when the cumulative damage degree exceeds the set threshold threshold2, the protection measures will be triggered.

[0096] S404: If C_accu >= threshold2, determine the pressure reduction coefficient A through the formula A = exp(k2 * (V_broken / V_max)), where k2 is the attenuation rate factor and V_max represents the maximum acceptable breakage speed, so as to reduce the risk of damage to the tea leaves. Once C_accu >= threshold2, it indicates that the optimal processing range may have been reached or even exceeded. At this time, measures should be taken to slow down or stop applying greater force to avoid irreversible damage to the tea leaves, and determine specifically how much to reduce through a special formula: the pressure reduction coefficient is set to A = exp(k2 × (V_broken / V_max)), where the exponential form ensures that A is always positive and decreases as the ratio increases. In this expression, k2 is the attenuation rate factor reflecting the difficulty of cell repair after damage; generally, k2 takes a positive value, and through multiple experiments, it is confirmed that more ideal pressure reduction effects can be obtained when it is between 0.05 and 0.1. On the other hand, V_max identifies the maximum allowable instantaneous breakage rate for the entire process, and being used as the denominator normalizes the ratio. This design can flexibly adjust the working intensity of the rolling machine according to real-time situations, effectively reduce the occurrence of over-rolling, and thus enhance the taste complexity and aroma level of the final product.

[0097] For example, when kneading Liubao spring tea, in the initial stage, the system automatically monitors and obtains a relatively low cell damage rate. Therefore, in the initial stage, it operates at a relatively high power to ensure sufficient crushing of the materials and promote the release of internal components. After reaching a certain time node, according to the evaluation result of the accumulated damage level, the intensity is adjusted to a milder state in a timely manner, so that while the leaves maintain good integrity, the release of flavor substances is achieved, and better processing quality control is achieved. During this period, if the detected value approaches the limit threshold, the force applied to the raw materials is rapidly reduced according to the predetermined algorithm, and gradually restored to a relatively stable operation mode to ensure the final product consistency.

[0098] Next, refer to Figure 5 , and describe the steps of dynamically adjusting the kneading pressure and duration based on the change data to optimize the richness of the tea taste in the fifth embodiment of the present invention.

[0099] S501: Set up a phased threshold array S[i] to mark the desired cell damage levels at different stages. First, during the kneading process, according to the desired cell damage levels at different stages, set up a group of phased threshold arrays S[i]. Each threshold S[i] corresponds to the target damage rate of a kneading stage. This is aimed at ensuring that during the tea processing in each stage, the degree of damage to the cell structure can be gradually increased according to the pre-designed levels. For example, 4 main stages are set, with thresholds: mild crushing is S[1]=10%, moderate is S[2]=30%, medium is S[3]=60%, and high crushing is the target S[4]=85%. Each item represents the specific damage degree expected to be achieved within these four different time periods.

[0100] S502: Compare the gap E_i = D_stage - S[i] between the existing cell damage level and the expected threshold in real time at each stage, where D_stage represents the real-time cell damage rate of the current stage. Then, at each specific stage, the system will monitor and compare in real time whether there is a gap between the currently measured cell damage rate D_stage and the ideal value S[i] corresponding to this interval. That is, the difference expression E_i = D_stage - S[i] is used to reflect how much the actual damage situation differs from the theoretical model.

[0101] S503: If it is found before the end of a certain stage that the actual deviation exceeds the tolerance limit E_limit, immediately calculate the ideal time for the next stage through the formula T_next = (S[i + 1] - D_stage) × f(E_ratio, E_i) to compensate for the previous error; E_ratio is used to represent the proportion of the previous damage rate deviation, and the f function describes the linear growth law of the compensation time.

[0102] Specifically, when it is monitored that E_i > E_limit, calculate the ratio of the deviation of the previous breakage rate E_ratio = E_i / S[i]; according to E_ratio and E_i, calculate the compensation time through the compensation function f(E_ratio, E_i) = a1 × E_ratio + b1 × E_i, where a1 and b1 are compensation coefficients used to adjust the relationship between the compensation time and the deviation; calculate the ideal time T_next of the next stage according to the formula T_next = (S[i + 1] - D_stage) × f(E_ratio, E_i); and it can also be determined whether T_next satisfies the formula T_min ≤ T_next ≤ T_max, where T_min and T_max are the minimum and maximum values of the time of the next stage respectively. If not, limit T_next within this range. It should be understood that f(E_ratio, E_i) can also be other linear functions.

[0103] Specifically, if it is indeed observed that the deviation exceeds the allowable limit, immediately enable the formula T_next = (S[i + 1] - D_stage) × f(E_ratio, E_i) before moving to the next step to calculate the optimal kneading duration for the next period to adjust and make up for the previous changes. Among them, the proportional factor E_ratio represents the proportional relationship of the deviation of the previous damage from the target, and f(E_ratio, E_i) is defined as a relationship function that linearly increases the compensation time with the increase of the excess amount; the meaning of this equation is to determine how to correct the time of the subsequent process based on the size of the problems existing in the early stage, so as to minimize the negative effects brought by the accumulation of cumulative error effects to the final tea product.

[0104] Specifically, in an example demonstration, when it is found that the second link is about to be completed, the detection shows that the existing cell rupture rate is only 27%, which is 3 percentage points behind the originally planned 30%. At this time, calculate the appropriate residence period required for the next stage according to the formula and extend it appropriately to offset the disadvantages brought by the previous deficiencies.

[0105] S504: Advance or postpone switching to the next processing parameter configuration combination according to the calculation result. Finally, immediately respond after obtaining the new optimal solution plan, either start the next configuration change action earlier or slightly later, so as to maintain the overall production schedule at a relatively stable rhythm. This helps to maintain the consistency and stability of the tea flavor of each batch. For example, implement calibration measures through various combination means such as fine-tuning the parameters of the rolling machine, extending the time, or reducing the weight.

[0106] In a specific embodiment, the calculated ideal time T_next for the next stage is compared with the remaining time T_remain of the current stage; if T_next < T_remain, the switch to the next processing parameter configuration combination is advanced to shorten the duration of the current stage; if T_next > T_remain, the switch to the next processing parameter configuration combination is postponed to extend the duration of the current stage; after switching to the next processing parameter configuration combination, the stage threshold array S[i] and the cell breakage rate D_stage of the current stage are updated, and real-time monitoring and adjustment continue.

[0107] In summary, in each specific Liubao tea processing process, using this intelligent control mode based on dynamic data feedback to optimize each key step can greatly improve the aroma, flavor and richness of the tea soup, and thus create high-quality products with higher quality.

[0108] Next, refer to Figure 6 to describe the steps of dynamically adjusting the rolling pressure and duration based on changing data to optimize the richness of the tea taste in the sixth embodiment of the present invention.

[0109] S601: Set specific performance weights w[i] for each level of the rolling process, that is, assign corresponding values according to the importance and characteristics of the rolling process requirements at different levels and stages. These weights reflect the influence degree of different stages on the final tea quality. For example, in the initial rolling stage of Liubao tea, since this stage lays the foundation for the initial form and basic taste of the tea, it may be assigned a relatively large weight, such as 0.4, while in the subsequent several light rolling processes, it may decrease to 0.15 or other reasonable values.

[0110] S602: Construct a comprehensive evaluation index based on multi-factor consideration Calculate the quality score completed in the current process, where S_goal is the standard value of the target state. For example, a comprehensive evaluation index (ComprehensiveIndex, CI) can be established based on multiple relevant factors such as humidity, temperature, etc. Here, S_goal represents the expected ideal state or parameter standard value, while D_real represents the state distance obtained from actual measurement. The meaning of this formula is to evaluate the completion status of each process by measuring the reciprocal of the square of the gap between the ideal and the real and multiplying it by the weight. Using this method can more objectively reflect whether each link in the entire production process reaches the established goal, ensuring the consistency and high-quality output of the product. Usually, S_goal should be strictly determined in advance according to experience and scientific test results, and it varies with the characteristics of specific tea varieties. When CI shows a downward trend, especially when significant regression is found during continuous monitoring, an alarm signal will be triggered to prompt manual inspection of whether there is a fault in the system or other abnormal conditions interfering with the normal processing flow. In a specific embodiment, D_real can be the current actual cell breakage rate monitored in real time at each stage, and S_goal is the corresponding target cell breakage rate S_goal.

[0111] S603: Adjust the kneading force adjustment ratio using the formula F_adj = g(CI_last, CI_curr, w_adj), where F_adj represents the force ratio of this adjustment, CI_last and CI_curr respectively represent the CI index values calculated in the last two times, and w_adj is a specific gravity function that controls the maximum correction amplitude each time, ensuring that the automatic control system can achieve smooth transition and precise calibration. In the subsequent kneading operation, an adjustment algorithm is used to achieve precise control of the kneading force and smoothness. F_adj, as the proportional factor of this force adjustment, is calculated through a specific function g(CI_last, CI_curr, w_adj), which depends on the difference between the CI index CI_last obtained from the previous calculation and the new index CI_curr obtained now, as well as a specific gravity function w_adj of the maximum allowable adjustment amplitude preset by the user. Specifically, whenever it is detected that the current CI is lower than the previous period or exceeds a certain range, this formula will be used to apply an appropriate correction amount to the kneading in the next step. However, considering factors such as mechanical inertia that may cause overshoot, an upper limit, that is, the maximum adjustable rate each time, is set to ensure that the whole process always maintains a smooth transition without sudden fluctuations. This can not only enable the tea to obtain ideal pressing at each kneading level but also prevent the equipment or product quality from getting out of control.

[0112] In an example, assume that the initially set standard kneading intensity is 65 kg / cm 2, and dynamically fine-tune according to the principles mentioned above. In a processing experiment, due to humid weather, the raw materials became sticky, increasing the resistance. When it was detected that the CI decreased by more than 0.03 compared to the previous period, the force was immediately increased moderately to 70 kg / cm according to the pre-designed calculation rules. 2 , so as to restore it to the excellent standard range.

[0113] In a specific embodiment, in two consecutive comprehensive evaluation index calculations, the current CI value CI_curr and the previous CI value CI_last are recorded; according to CI_last and CI_curr, the change rate r of CI is calculated as r = ΔCI / CI_last. If r < w_adj, the rolling force in the next stage is adjusted according to the ratio r. If r > w_adj, the rolling force in the next stage is regulated using the specific gravity function w_adj.

[0114] This method based on data feedback and real-time parameter adjustment enables sensitive responses according to the actual situation throughout the tea-making process, greatly improving work efficiency and product quality stability while maintaining the essence of traditional techniques, and also reflecting the application advantages of automation and intelligent technologies in the field of fine processing of agricultural products.

[0115] Next, refer to Figure 7 , and describe the steps of dynamically adjusting the rolling pressure and duration based on change data in the seventh embodiment of the present invention to optimize the richness of the tea taste.

[0116] S701: Estimate the future optimal rupture state through the change trend of the tea leaf cell breakage rate. In the first step, monitor the change trend of the tea leaf cell breakage rate to estimate the future optimal rupture state. This means that the system collects data on the tea leaves at different rolling stages in real time and uses this data for analysis and prediction. Specifically, during the processing of Liubao tea, the current cell breakage rate of the tea leaves is obtained by sampling and testing the tea leaves at regular intervals during the rolling process, and then the trend of the cell breakage rate is analyzed based on historical data, so as to estimate the optimal rupture state that the tea leaves may reach within the future rolling time.

[0117] S702: Set a target cell breakage rate range based on the predicted breakage state, and adjust the current rolling conditions accordingly. Subsequently, set a target cell breakage rate range based on the predicted breakage state, and adjust the current rolling conditions accordingly. For example, in one embodiment, when the predicted tea leaf cell breakage rate is close to 70% in the future, which is considered the optimal breakage level, 70% is set as the lower limit of the target cell breakage rate, and a certain percentage of fluctuation is allowed as the threshold difference ΔCBR. The purpose of this setting is to ensure a flexible space in actual operation and prevent deviation from the expected results due to minor fluctuations. Then, reconfigure the current rolling parameters such as pressure intensity and rolling duration according to this range to ensure closer proximity to the ideal effect.

[0118] S703: If CBR_current >= CBR_target + ΔCBR × K and CBR_previous <= CBR_target - ΔCBR / (K + Δ), then reduce the rolling pressure; otherwise, increase the rolling pressure, where CBR_current represents the currently detected cell breakage rate, CBR_target is the target cell breakage rate, ΔCBR is the cell breakage rate threshold difference, K is the weighting factor, and Δ is a small positive value set to prevent division by zero. Specifically, if the currently detected cell breakage rate CBR_current is greater than or equal to the target cell breakage rate CBR_target plus the threshold difference ΔCBR multiplied by the weighting factor K (usually K ranges between 0.8 and 1.2), and the previously detected cell breakage rate CBR_previous is not greater than the target breakage rate minus the threshold difference divided by K plus the small positive value Δ (to prevent the denominator from being zero in mathematical calculations, which can be set as any very small positive number such as 0.01), then take measures to reduce the rolling pressure; otherwise, increase the rolling pressure. The reasonable setting of the parameters ensures that even with slight changes in the external environment, a relatively constant state can be maintained, making the tea taste more plump and round without losing its flavor characteristics due to over-rolling.

[0119] S704: When the target range is reached, the system automatically sets this set of rolling conditions as the basic parameters for subsequent processing of the same type of tea. Finally, once the rolling process achieves the desired results within the defined cell breakage range above, the system automatically saves the currently used parameter combination and designates it as the basic condition standard for subsequent batches of this type of fresh tea. Specifically, if a set of rolling pressure and time ratio can make a batch of Liubao tea fall exactly within the previously set target range after being rolled for a specific time, this parameter becomes the standard template for the production process of subsequent teas with similar tenderness and composition.

[0120] In summary, this method effectively improves the consistency of product quality, maximally explores the sensory characteristics of Liubao tea, and ensures that the tea leaves in each package reaching consumers can reflect excellent and stable quality.

[0121] Next, refer to Figure 8 , to describe the step of setting the target cell breakage rate range based on the predicted breakage state in the present invention and adjusting the current rolling conditions based on this.

[0122] S801: Collect real-time cell breakage rate data points once every fixed period T. This step ensures that the cell breakage state during the rolling of Liubao tea leaves is always dynamically monitored. T is a fixed time interval, set according to equipment performance and process requirements. On this basis, the online monitoring device feeds the data collected each time to the control system. This real-time feedback mechanism enables the control system to immediately grasp the actual progress of cell breakage and make a quick response to optimize the rolling conditions.

[0123] S802: Predict the cell structure damage process based on the preset time window W and step size S. Here, W represents a time span, and S represents the interval length moved or skipped within this time period. The purpose of selecting these two parameters is to enable the model to more accurately capture the changing trend of cell breakage and make effective predictions. For example, in the early stage of rolling, a smaller time window and a shorter step size may be set to more sensitively perceive the initial cell breakage situation; while in the later stage, as the damage trend becomes relatively stable, the time window width W is appropriately widened and the step size S is increased. Such an arrangement can ensure sensitivity throughout the rolling process without resulting in excessive invalid data sampling.

[0124] S803: If W / S×N>R, where W represents the time window width, S is the step size, N is the number of sample points within the time window, and R is a proportionality factor, then extend the next measurement period T = γ*T, otherwise maintain the original period unchanged. Here, γ>1 and is an adjustment coefficient. Here, the formula is used to adjust the measurement frequency, where W is the time window width mentioned above, S refers to the step size discussed previously, N indicates the number of data samples within the selected time window, R defines the desired target ratio factor, and it is required to be greater than 0 and less than 1. Specifically, when it is found through calculation that the proportion of the number of sample points within the current time exceeds the set limit, it means that the current measurement frequency is already high enough and there is no need to maintain the original density. Therefore, the new period can be made longer than before by increasing γ (i.e., the adjustment coefficient). This can avoid wasting system resources due to overly frequent data collection while not affecting the monitoring of the rolling effect. Conversely, if max(0,W / S × N)<=R, then maintain the existing T unchanged.

[0125] In one embodiment, for the Liubao tea leaves being processed, a sampling unit of every 5 minutes (T) is set for real-time monitoring during the initial rolling stage. As the process progresses, through algorithm analysis, it is confirmed that a window width of 20 minutes and a step size of advancing every 5 minutes (i.e., W = 20, S = 5) should be used for data processing and predicting future trends. After a period of data accumulation, it is found that the measurement density within a certain period has exceeded the reasonable threshold. Then, according to the pre-set rules, the measurement interval for subsequent batches is increased to 1.5 times the original (assuming γ is taken as 1.5). In this way, the measurement efficiency is maximized while the overall control is made more economical and practical.

[0126] Specifically, this self-adaptive rolling condition control mechanism helps to achieve an ideal control of the cell rupture degree during the production of Liubao tea, which not only promotes the effective release of tea flavor substances, but also saves energy costs and improves economic benefits. In addition, with the help of intelligent online monitoring and automatic adjustment, this traditional technique can also meet the requirements of modern large-scale production.

[0127] In addition, as Figure 9 shown, the present application also provides a Liubao tea processing control system 900, including:

[0128] A measuring device 901 that obtains the basic parameters of the tea leaves by measuring the initial moisture content and leaf thickness of the Liubao tea leaves after fixation;

[0129] A parameter determination module 902 that determines the initial pressure and expected duration during the rolling process according to the basic parameters;

[0130] A collection module 903 that uses an online monitoring device to collect the change data of the tea leaf cell breakage rate in real time during the rolling process;

[0131] An adjustment module 904 that dynamically adjusts the rolling pressure and duration based on the change data to optimize the richness of the tea taste.

[0132] The functions of each module of the Liubao tea processing control system 900 of the present application have been described above with reference to the appendix Figure 1-8 and will not be elaborated here.

[0133] The above is the preferred embodiment of the present application. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle described in the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A processing control method for Liubao tea leaves, characterized in that, Including: Obtaining the basic parameters of the Liubao tea leaves by measuring the initial moisture content and leaf thickness of the tea leaves after withering; Determining the initial pressure and expected duration during the rolling process according to the basic parameters; Using an on-line monitoring device to collect the change data of the cell breakage rate of the tea leaves in real time during the rolling process; Dynamically adjusting the rolling pressure and duration based on the change data to optimize the richness of the tea taste.

2. The method for controlling the processing of Liubao tea leaves according to claim 1, wherein The dynamically adjusting the rolling pressure and duration based on the change data to optimize the richness of the tea taste further includes: Collecting the cell breakage rate D in the current time period in real time; Estimating the ideal breakage rate D_ideal in the next time period based on the change trend of the cell breakage rate; Dynamically adjusting the rolling pressure P through the formula P = k1×(D_ideal - D)+P0, where P0 is the initial rolling pressure and k1 is an adjustment coefficient used to represent the response degree to the difference between the target breakage rate and the actual breakage rate; If D > Dth, then reduce the duration t, otherwise extend the duration, so that the cell breakage of the tea leaves is within an appropriate range, where Dt is the predetermined threshold of the cell breakage rate.

3. A processing control method for Liubao tea leaves according to claim 1, characterized in that The dynamically adjusting the rolling pressure and duration based on the change data to optimize the richness of the tea taste further includes: Recording the cell breakage rate R_old before the previous adjustment point and the current cell breakage rate R_current in real time; Judging whether the increasing trend of the breakage rate is stable based on the record: ΔR = |R_old - R_current| / R_old; When ΔR is less than the set ratio parameter a and the continuous monitoring times exceed the set times b, it is considered that the current breakage trend is stable, otherwise the parameters need to be adjusted again; Calculating the optimal time T_best to be maintained through the adjusted breakage rate.

4. The processing control method of Liubao tea leaves according to claim 1, characterized in that, The dynamically adjusting the rolling pressure and duration based on the change data to optimize the richness of the tea taste further includes: Monitoring the cell breakage speed V_broken in each rolling process and calculating the cumulative amount C_accu within a period of time as the adjustment basis; In the middle stage of rolling, using the cumulative amount feedback to decide whether to increase or decrease the pressure, specifically C_reflex = max(C_accu - C_std, 0), where C_std is the standard cumulative value; When C_accu >= threshold2 in the later stage of rolling, start the protection mechanism; If C_accu >= threshold2, then determine the pressure reduction coefficient A through the formula A = exp(k2×(V_broken / V_max)), where k2 is the attenuation rate factor and V_max represents the maximum acceptable breakage speed, so as to reduce the risk of damage to the tea leaves.

5. A method for controlling the processing of Liubao tea leaves according to claim 1, characterized in that, The dynamically adjusting the rolling pressure and duration based on the change data to optimize the richness of the tea taste further includes: Setting up a phased threshold array S[i] to mark the expected cell breakage levels at different stages; Comparing the gap E_i = D_stage - S[i] between the existing cell breakage level and the expected threshold in real time at each stage, where D_stage represents the real-time cell breakage rate at the current stage; If the actual deviation is found to exceed the tolerance limit E_limit before the end of a certain stage, the ideal time of the next stage is calculated by the formula T_next = (S[i+1]-D_stage) × f(E_ratio, E_i) to compensate for the previous error; E_ratio is used to characterize the proportion of the previous breakage rate deviation, and the f function describes the linear growth law of the compensation time; According to the calculation results, the switch to the next processing parameter configuration combination is advanced or delayed.

6. The processing control method of Liubao tea leaves according to claim 1, characterized in that The method of dynamically adjusting the kneading pressure and duration based on the change data to optimize the richness of the tea taste further includes: Set a specific performance weight w[i] for each level of rolling process; Construct a comprehensive evaluation index based on multiple factors Calculate the quality score of the current process completed, where S_goal is the standard value of the target state; The formula F_adj=g(CI_last, CI_curr, w_adj) is used to adjust the kneading force adjustment ratio, where F_adj represents the force ratio of this adjustment, CI_last and CI_curr represent the CI index values calculated for the last two times, and w_adj controls the weight function of each maximum correction amplitude.

7. A processing control method for Liubao tea leaves according to claim 1, characterized in that The dynamically adjusting the kneading pressure and duration based on the change data to optimize the richness of the tea taste further includes: The optimal rupture state in the future can be estimated through the changing trend of tea cell breakage rate; The target cell breakage rate range is set based on the estimated breakage state, and the current rolling conditions are adjusted accordingly; If CBR_current>=CBR_target+ΔCBR×K and CBR_previous<=CBR_target-ΔCBR / (K+Δ), then reduce the kneading pressure; otherwise increase the kneading pressure, where CBR_current represents the currently detected cell breakage rate, CBR_target is the target cell breakage rate, ΔCBR is the cell breakage rate threshold difference, K is the weight factor, and Δ is a small positive value set to prevent the divisor from being zero; When the target range is reached, the system automatically uses this set of rolling conditions as the basic parameters for subsequent processing of the same type of tea.

8. A method for controlling the processing of Liubao tea leaves according to claim 7, characterized in that, The step of setting a target cell breakage rate range based on the estimated rupture state and adjusting the current kneading conditions based on the estimated rupture state further includes: Real-time cell damage rate data points are collected every fixed period T; Predict the process of cell structure destruction based on the preset time window W and step size S; If W / S×N>R, where W represents the time window width, S is the step size, N is the number of sample points in the time window, and R is a proportional factor, then the next round of measurement period T=γ*T is extended, otherwise the original period is maintained unchanged. Here γ>1 and is the adjustment coefficient.

9. A processing control system for Liubao tea leaves, characterized in that, include: A measuring device is used to obtain basic parameters of the tea leaves by measuring the initial water content and leaf thickness of the Liubao tea leaves after withering; A parameter determination module, which determines the initial pressure and the estimated duration in the kneading process according to the basic parameters; The collection module uses online monitoring equipment to collect real-time data on the change in tea cell damage rate during the rolling process; The adjustment module dynamically adjusts the kneading pressure and duration based on the change data to optimize the richness of the tea taste.

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