Oxygen content monitoring and control method of yellow tea heaping yellowing equipment

Abstract

The invention discloses an oxygen content monitoring and control method of yellow tea heaping yellowing equipment, and relates to the technical field of oxygen content monitoring, experimental data of a yellow tea heaping yellowing process are obtained, and the experimental data comprise environmental experimental data and corresponding equipment oxygen content data; identifying the relationship between the environment experiment data and the equipment oxygen content according to the experiment data of the yellow tea heaping yellowing process; the heaping yellowing fermentation stage of the current yellow tea is judged on the basis of enzyme activity indexes monitored in real time in the heaping yellowing process of the yellow tea, and then the current equipment oxygen content is recognized according to the relation between environmental experiment data and the equipment oxygen content; whether the oxygen content of the current equipment needs to be adjusted or not is judged according to the heaping yellowing fermentation stage of the current yellow tea, and then the oxygen content of the equipment is adjusted according to the relation between environmental experiment data and the oxygen content of the equipment. The oxygen content in the yellow tea fermentation process is accurately controlled, the inconsistency caused by manual intervention is reduced, and the heaping yellowing effect of the yellow tea in different production batches is guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of oxygen content monitoring, in particular to an oxygen content monitoring and control method for yellow tea yellowing equipment. Background Art

[0002] The production process of yellow tea includes withering, killing green leaves, rolling, yellowing, drying and other steps. Among them, yellowing (or yellowing) is a key stage. This process needs to be carried out in a specific oxygen environment to promote chemical changes in phenolic substances in the tea leaves, thereby forming a unique color and flavor. Since the fermentation process is very sensitive to oxygen content, accurate monitoring and control of oxygen content is crucial to ensure the quality of tea.

[0003] Traditional yellow tea steaming equipment often relies on manual or rough methods to adjust the oxygen content, which is difficult to accurately control according to the different stages of yellow tea fermentation, easily resulting in excessive or insufficient oxygen content, affecting the fermentation effect and final quality of the tea. The existing technology lacks precise monitoring and dynamic adjustment methods for oxygen content, resulting in an unstable fermentation process and difficulty in ensuring the quality of the tea. In addition, many yellow tea steaming equipment in the existing technology lack real-time monitoring and feedback mechanisms for key indicators in the fermentation process, resulting in an inability to respond to changes in the fermentation process in a timely manner, which will cause adverse reactions in the fermentation process to affect the quality and taste of the tea.

[0004] Therefore, in view of the above problems, there is an urgent need for a method for monitoring and controlling the oxygen content of yellow tea yellowing equipment. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method for monitoring and controlling the oxygen content in yellow tea yellowing equipment, which solves the problems that it is difficult to accurately judge the fermentation stage of yellow tea, which leads to uneven or incomplete fermentation and affects the quality of tea leaves, and that inappropriate oxygen content during the fermentation process may lead to poor fermentation effect, unstable tea quality, and difficulty in real-time oxygen content monitoring and adjustment.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for monitoring and controlling the oxygen content of yellow tea yellowing equipment, comprising the following steps: obtaining experimental data of the yellow tea yellowing process, the experimental data including environmental experimental data and corresponding equipment oxygen content data; identifying the relationship between the environmental experimental data and the equipment oxygen content based on the experimental data of the yellow tea yellowing process; judging the current yellowing fermentation stage of the yellow tea based on real-time monitoring of enzyme activity indicators during the yellow tea yellowing process, and then identifying the current equipment oxygen content based on the relationship between the environmental experimental data and the equipment oxygen content; judging whether the current equipment oxygen content needs to be adjusted based on the current yellow tea yellowing fermentation stage, and then adjusting the equipment oxygen content based on the relationship between the environmental experimental data and the equipment oxygen content.

[0007] Furthermore, the environmental experimental data specifically include gas exchange frequency, equipment internal pressure and nitrogen content.

[0008] Furthermore, the specific analysis of the relationship between the environmental experimental data and the equipment oxygen content identified based on the experimental data of the yellow tea yellowing process is as follows: a multiple regression equation is set between the gas exchange frequency, the internal pressure of the equipment and the nitrogen content and the equipment oxygen content, and the undetermined coefficients in the multiple regression equation specifically include the regression coefficient of the gas exchange frequency, the regression coefficient of the internal pressure of the equipment and the regression coefficient of the nitrogen content; the experimental data of the yellow tea yellowing process is obtained, and the experimental data covers different combinations of gas exchange frequencies, internal pressures of the equipment and nitrogen content, and the equipment oxygen content corresponding to the different combinations of gas exchange frequencies, internal pressures of the equipment and nitrogen content is obtained; the experimental data of the yellow tea yellowing process and the corresponding equipment oxygen content are processed for missing values ​​and outliers, and further dimension removal is performed for standardization; the standardized experimental data of the yellow tea yellowing process and the corresponding equipment oxygen content are fitted using the set multiple regression equation to obtain the regression coefficient of the gas exchange frequency, the regression coefficient of the internal pressure of the equipment and the regression coefficient of the nitrogen content, and the relationship between the gas exchange frequency, the internal pressure of the equipment and the nitrogen content and the equipment oxygen content is quantified using the regression coefficient of the gas exchange frequency, the regression coefficient of the internal pressure of the equipment and the regression coefficient of the nitrogen content.

[0009] Furthermore, the enzyme activity index during the yellow tea yellowing process specifically includes the enzyme activity change rate and the enzyme activity absolute value.

[0010] Furthermore, the specific analysis of judging the current yellow tea yellowing fermentation stage based on the real-time monitoring of the enzyme activity index during the yellowing fermentation process is as follows: obtaining the absolute value of the enzyme activity at each time point, and then obtaining the enzyme activity change rate at each time point according to the change of the absolute value of the enzyme activity at each time point; obtaining the enzyme activity index threshold based on the monitoring demand of the enzyme activity index during the yellowing fermentation process, and the enzyme activity index threshold specifically includes: the enzyme activity absolute value trough threshold, the enzyme activity absolute value peak-to-valley threshold, the enzyme activity change rate trough threshold, the enzyme activity change rate peak-to-valley threshold and the enzyme activity change rate floating balance point; based on the absolute value of the enzyme activity at each time point and the enzyme activity change rate and the corresponding The enzyme activity index threshold is compared to identify the current yellow tea yellowing fermentation stage, and the yellow tea yellowing fermentation stage specifically includes an initial stage, a middle stage and a late stage; the initial stage is specifically: the absolute value of the enzyme activity is less than or equal to the absolute value trough threshold of the enzyme activity, and the enzyme activity change rate is greater than the enzyme activity change rate peak-to-valley threshold; the middle stage is specifically: the absolute value of the enzyme activity is less than or equal to the absolute value peak-to-valley threshold of the enzyme activity and greater than the absolute value trough threshold of the enzyme activity, and the enzyme activity change rate is less than or equal to the enzyme activity change rate floating balance point; the late stage is specifically: the absolute value of the enzyme activity is greater than the absolute value peak-to-valley threshold of the enzyme activity and the enzyme activity change rate is less than or equal to the enzyme activity change rate trough threshold.

[0011] Furthermore, the specific analysis of identifying the current equipment oxygen content based on the relationship between environmental experimental data and equipment oxygen content is: obtaining real-time equipment environmental data, the real-time equipment environmental data specifically includes gas exchange frequency, equipment internal pressure and nitrogen content; based on the multivariate regression equation between gas exchange frequency, equipment internal pressure and nitrogen content and equipment oxygen content and the regression coefficient of gas exchange frequency, the regression coefficient of equipment internal pressure and the regression coefficient of nitrogen content, the real-time acquired gas exchange frequency, equipment internal pressure and nitrogen content are analyzed to obtain the current equipment oxygen content.

[0012] Furthermore, the specific analysis of judging whether the oxygen content of the current equipment needs to be adjusted according to the current yellow tea yellowing fermentation stage is as follows: obtaining the oxygen demand range of each stage based on the yellow tea yellowing demand, and then determining the current oxygen demand range according to the current yellow tea yellowing fermentation stage; comparing the current equipment oxygen content with the current oxygen demand range, when the current equipment oxygen content is within the current oxygen demand range, the current equipment oxygen content does not need to be adjusted; when the current equipment oxygen content is not within the current oxygen demand range, the current equipment oxygen content needs to be adjusted, and the equipment oxygen content is adjusted according to the relationship between the environmental experiment data and the equipment oxygen content.

[0013] Furthermore, the specific analysis of adjusting the oxygen content of the equipment according to the relationship between the environmental experimental data and the oxygen content of the equipment is as follows: taking the difference between the current equipment oxygen content and the upper and lower limit thresholds of the current oxygen demand range, respectively, and then comparing the difference between the current equipment oxygen content and the upper and lower limit thresholds of the current oxygen demand range, and taking the minimum difference as the required adjustment amount of the current equipment oxygen content; and then determining the gas exchange frequency to be adjusted or the equipment internal pressure to be adjusted or the nitrogen content to be adjusted according to the multivariate regression equation between the gas exchange frequency, the equipment internal pressure and the nitrogen content and the equipment oxygen content and the regression coefficient of the gas exchange frequency, the regression coefficient of the equipment internal pressure, the regression coefficient of the nitrogen content and the required adjustment amount of the current equipment oxygen content; adjusting the gas exchange frequency according to the gas exchange frequency to be adjusted, or adjusting the equipment internal pressure according to the equipment internal pressure to be adjusted, or adjusting the nitrogen content according to the nitrogen content to be adjusted, thereby achieving the adjustment of the oxygen content of the equipment.

[0014] The present invention has the following beneficial effects:

[0015] The oxygen content monitoring and control method of the yellow tea yellowing equipment can accurately identify and adjust the oxygen content in the equipment by real-time monitoring the enzyme activity index during the yellow tea yellowing process and combining the relationship between environmental experimental data and the oxygen content of the equipment, so as to ensure that the most suitable oxygen environment is provided at different fermentation stages, which helps to improve the consistency of fermentation and reduce unnecessary oxygen fluctuations, thereby ensuring the stability and improvement of the quality of yellow tea; dynamically adjusting the oxygen content according to the different fermentation stages of the yellow tea to avoid the adverse effects of excessive or insufficient oxygen on the fermentation, which can not only improve the fermentation efficiency, but also prevent excessive oxidation or incomplete oxidation during the fermentation of the yellow tea, so that the color, aroma, taste and nutritional components of the tea leaves are better preserved. and development; precise oxygen monitoring and regulation can effectively reduce problems such as readjustment and equipment loss caused by improper oxygen content, reduce energy consumption and resource waste, improve production efficiency, and help achieve the goal of energy conservation and environmental protection, while maintaining the high quality of yellow tea and reducing production costs; it realizes automatic control of the entire process from data collection, analysis to adjustment, reduces the need for manual intervention, and improves the intelligence level of the production process. The automated control system can respond to changes in the environment and fermentation conditions in real time to ensure that the oxygen content is always within the optimal range, thereby reducing human errors, improving product consistency and production efficiency, meeting consumers' demand for high-quality tea, enhancing brand value, and promoting the modernization of yellow tea production.

[0016] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1The present invention is a flow chart of the oxygen content monitoring and control method of the yellow tea yellowing equipment. DETAILED DESCRIPTION

[0018] The embodiment of the present application realizes precise control of the oxygen content in the yellow tea fermentation process through the oxygen content monitoring and control method of the yellow tea yellowing equipment, reduces the inconsistency caused by human intervention, and ensures the yellowing effect of the yellow tea between different production batches.

[0019] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0020] At different stages of the yellowing process of yellow tea, environmental experimental data and equipment oxygen content data are collected, and the collected experimental data are statistically analyzed and modeled to identify the relationship between environmental factors and the oxygen content of the equipment; during the yellowing process of yellow tea, enzyme activity indicators are monitored in real time to determine the fermentation stage of yellow tea, and the relationship model between environmental experimental data and equipment oxygen content is used to identify and calculate the current oxygen content in the equipment; based on the current fermentation stage of the yellow tea and the oxygen content measured in the equipment, it is determined whether adjustments are needed, and then the oxygen content in the equipment is adjusted based on the relationship model.

[0021] See also Figure 1 The embodiment of the present invention provides a technical solution: a method for monitoring and controlling the oxygen content of yellow tea yellowing equipment, comprising the following steps: obtaining experimental data of the yellow tea yellowing process, the experimental data including environmental experimental data and corresponding equipment oxygen content data; identifying the relationship between the environmental experimental data and the equipment oxygen content based on the experimental data of the yellow tea yellowing process; judging the current yellowing fermentation stage of the yellow tea based on the real-time monitoring of the enzyme activity index during the yellow tea yellowing process, and then identifying the current equipment oxygen content based on the relationship between the environmental experimental data and the equipment oxygen content; judging whether the current equipment oxygen content needs to be adjusted according to the current yellow tea yellowing fermentation stage, and then adjusting the equipment oxygen content based on the relationship between the environmental experimental data and the equipment oxygen content.

[0022] Specifically, the environmental experimental data specifically include gas exchange frequency, equipment internal pressure and nitrogen content. The specific analysis of identifying the relationship between environmental experimental data and equipment oxygen content based on the experimental data of the yellow tea yellowing process is as follows: set the multiple regression equation between gas exchange frequency, equipment internal pressure and nitrogen content and equipment oxygen content: O2=β0+β1*F+β2*P+β3*N+ω, where O2 represents the equipment oxygen content, F represents the gas exchange frequency, P represents the equipment internal pressure, N represents the nitrogen content, β0 represents the constant term, β1, β2, β3 are the regression coefficients of gas exchange frequency, equipment internal pressure and nitrogen content respectively, ω is the error term, and the undetermined coefficients in the multiple regression equation specifically include the regression coefficient of gas exchange frequency, equipment internal pressure and nitrogen content; obtain the experimental data of the yellow tea yellowing process, experimental data Different combinations of gas exchange frequency, equipment internal pressure and nitrogen content are covered, and the equipment oxygen content corresponding to different combinations of gas exchange frequency, equipment internal pressure and nitrogen content are obtained; the experimental data of the yellow tea yellowing process and the corresponding equipment oxygen content are processed for missing values ​​and outliers, and further dimension removal is performed for standardization; the standardized experimental data of the yellow tea yellowing process and the corresponding equipment oxygen content are fitted using the set multivariate regression equation to obtain the regression coefficient of gas exchange frequency, the regression coefficient of equipment internal pressure and the regression coefficient of nitrogen content, and the relationship between gas exchange frequency, equipment internal pressure and nitrogen content and equipment oxygen content is quantified using the regression coefficient of gas exchange frequency, the regression coefficient of equipment internal pressure and the regression coefficient of nitrogen content.

[0023] In this implementation scheme, the gas exchange frequency indicates the number of times or rate at which the air inside the equipment is replaced per unit time, and is usually measured by a gas flow meter or ventilation device installed on the equipment. The equipment can control the internal oxygen content by adjusting the gas exchange frequency; the internal pressure of the equipment indicates the gas pressure inside the yellow tea steaming equipment, and is measured in real time by a pressure sensor installed inside the equipment. Pressure regulation can be achieved by increasing or decreasing the gas supply or adjusting the airtightness of the equipment; the nitrogen content indicates the concentration of nitrogen inside the equipment, and is detected by a gas composition analyzer or a chemical sensor to detect the nitrogen concentration inside the equipment. The nitrogen content can be achieved by adjusting the nitrogen supply or diluting the gas.

[0024] An experimental scheme covering different combinations of gas exchange frequencies, internal pressures of the equipment, and nitrogen contents was designed to ensure that the experimental data were representative and extensive. During the experiment, the oxygen content inside the equipment was recorded as the response variable. The gas exchange frequency, internal pressure of the equipment, nitrogen content, and corresponding equipment oxygen content data during the yellow tea steaming process were collected in real time through sensors or other measuring devices. The gas exchange frequency, internal pressure of the equipment, nitrogen content, and equipment oxygen content were standardized. Specifically, the data can be converted into a standard normal distribution with a mean of 0 and a standard deviation of 1, which helps to eliminate the impact of dimensional differences between different variables.

[0025] Fit the multiple regression equation to obtain the regression coefficients of gas exchange frequency, internal pressure of the equipment, and oxygen content of the equipment. The least squares method (OLS) or other regression algorithms can be used. The preprocessed experimental data are substituted into the set multiple regression equation for fitting to obtain the estimated values ​​of the regression coefficients. The goodness of fit and statistical significance of the multiple regression equation are further evaluated by R square value, residual analysis, F test and other methods to judge the validity of the multiple regression equation. If the multiple regression equation does not work well, consider adding interaction terms, nonlinear terms or other variables. The size and sign of the regression coefficient can reveal the positive and negative contributions of each factor to the oxygen content and their relative importance. The constant term also uses the least squares method (OLS) or other regression analysis methods for parameter estimation, minimizing the square error between the predicted value and the actual value to estimate the specific value of the constant term; the error term represents the random difference between the predicted value of the model and the actual observed value, reflecting the part that the model cannot explain, and is obtained through the residual after regression analysis. The residual refers to the difference between the actual observed value and the model predicted value.

[0026] Multiple regression analysis can quantitatively analyze the relationship between gas exchange frequency, internal pressure of equipment, nitrogen content and oxygen content of equipment, rather than relying on qualitative judgment, making equipment control more scientific and accurate; compared with single factor analysis, multiple regression takes into account the combined effect of multiple factors, which can more comprehensively reflect the complex situation in actual production and improve the accuracy and adaptability of prediction; by establishing a multiple regression equation, the equipment can automatically adjust the oxygen content, dynamically adjust the control strategy according to real-time monitoring data, reduce manual intervention, and improve the automation and intelligence level of the production process.

[0027] Specifically, the enzyme activity index during the yellow tea yellowing process includes the enzyme activity change rate and the absolute value of enzyme activity. The specific analysis based on real-time monitoring of the enzyme activity index during the yellow tea yellowing process to judge the current yellow tea yellowing fermentation stage is as follows: obtain the absolute value of the enzyme activity at each time point, and then obtain the enzyme activity change rate at each time point according to the change of the absolute value of the enzyme activity at each time point; obtain the enzyme activity index threshold based on the enzyme activity index monitoring needs during the yellow tea yellowing process, and the enzyme activity index threshold specifically includes: enzyme activity absolute value trough threshold, enzyme activity absolute value peak-to-valley threshold, enzyme activity change rate trough threshold, enzyme activity change rate peak-to-valley threshold and enzyme activity change rate floating balance point; based on the absolute value of the enzyme activity at each time point and the enzyme activity change rate and the corresponding The enzyme activity index threshold is compared to identify the current yellow tea fermentation stage, which specifically includes the initial stage, the middle stage and the late stage; the initial stage is as follows: the absolute value of the enzyme activity is less than or equal to the absolute value trough threshold of the enzyme activity, and the enzyme activity change rate is greater than the enzyme activity change rate peak-to-valley threshold; the middle stage is as follows: the absolute value of the enzyme activity is less than or equal to the absolute value peak-to-valley threshold of the enzyme activity and greater than the absolute value trough threshold of the enzyme activity, and the enzyme activity change rate is less than or equal to the enzyme activity change rate floating balance point; the late stage is as follows: the absolute value of the enzyme activity is greater than the absolute value peak-to-valley threshold of the enzyme activity and the enzyme activity change rate is less than or equal to the enzyme activity change rate trough threshold.

[0028] In this embodiment, the absolute value of enzyme activity represents the rate of enzymatic reaction per unit time, which is expressed as the amount of product generated by enzyme catalysis or the amount of substrate consumed. Specifically, the change in enzyme activity is detected in real time by a spectrometer or other biosensor, and the absolute value of enzyme activity is calculated based on the light absorption value or other biochemical signals. The enzyme activity change rate represents the rate of change of the absolute value of enzyme activity per unit time, that is, the speed of change of enzyme activity. The enzyme activity change rate at each moment is calculated by performing differential operations on the absolute values ​​of enzyme activity at consecutive time points.

[0029] The trough threshold of the absolute value of enzyme activity indicates the lower limit of the absolute value of enzyme activity in the early or low-activity stage of fermentation. By statistically analyzing a large number of yellow tea yellowing experimental data, the average value or distribution range of the lowest point of enzyme activity is found as the trough threshold; the peak-to-valley threshold of the absolute value of enzyme activity indicates the upper limit of the absolute value when the enzyme activity reaches a peak during the fermentation process. By statistically analyzing the experimental data, the average value or distribution range of the peak of enzyme activity is found as the peak-to-valley threshold; the trough threshold of the enzyme activity change rate indicates the lower limit when the enzyme activity change rate is the lowest, corresponding to the stage in the late fermentation when the enzyme activity changes slowly. By differentially analyzing the experimental data of the enzyme activity change rate, the average value or distribution range when the change rate is the lowest is statistically analyzed; the peak-to-valley threshold of the enzyme activity change rate indicates the upper limit when the enzyme activity change rate is the highest, corresponding to the early or active stage of fermentation. By differentially analyzing the experimental data of the enzyme activity change rate, the average value or distribution range with the highest change rate is found; the floating balance point of the enzyme activity change rate indicates the change rate value when the enzyme activity change tends to be stable, which is used to identify the stable stage in the middle of fermentation; by analyzing the time series of the enzyme activity change rate, the interval where the change rate gradually tends to be stable is found as the reference value of the floating balance point.

[0030] By real-time monitoring of the absolute value and change rate of enzyme activity, the different fermentation stages of yellow tea during the yellowing process can be accurately determined, which helps to optimize the control of oxygen content, thereby improving the consistency and stability of tea quality; according to the changes in enzyme activity at different fermentation stages, the oxygen content can be dynamically adjusted to ensure the optimization of the fermentation process and reduce human intervention; real-time monitoring and analysis of enzyme activity indicators makes the production process more intelligent and automated, which can improve production efficiency and reduce energy consumption without affecting product quality.

[0031] A specific example is: assuming that the fermentation process of yellow tea is in progress, the enzyme activity index threshold is set as follows: the enzyme activity absolute value valley threshold is 50un its, the enzyme activity absolute value peak-to-valley threshold is 150un its, the enzyme activity change rate valley threshold is -2un its / min; the enzyme activity change rate peak-to-valley threshold is 3un its / min; the enzyme activity change rate floating balance point is 0un its / min. The enzyme activity absolute value is 40un its, and the enzyme activity change rate is 4un its / min. Since the enzyme activity absolute value (40un its) is lower than the valley threshold (50un its), and the enzyme activity change rate (4un its / min) is higher than the peak-to-valley threshold (3un its / min), this stage is judged to be the initial stage.

[0032] Specifically, the specific analysis for identifying the current equipment oxygen content based on the relationship between environmental experimental data and the equipment oxygen content is as follows: obtaining real-time equipment environmental data, the real-time equipment environmental data specifically includes gas exchange frequency, equipment internal pressure and nitrogen content; based on the multivariate regression equation between gas exchange frequency, equipment internal pressure and nitrogen content and equipment oxygen content and the regression coefficient of gas exchange frequency, the regression coefficient of equipment internal pressure and the regression coefficient of nitrogen content, the real-time acquired gas exchange frequency, equipment internal pressure and nitrogen content are analyzed to obtain the current equipment oxygen content.

[0033] In this implementation scheme, by acquiring equipment environmental data in real time and based on the established multiple regression model, the oxygen content in the current equipment can be identified quickly and accurately. The real-time and accuracy help to ensure that the oxygen level in the yellow tea steaming process is always in the optimal range to avoid excessive oxidation or insufficient oxygen. The multiple regression equation constructed using experimental data can better reflect the impact of complex environmental factors on the oxygen content of the equipment. Different from the traditional experience-based adjustment method, this data-driven decision-making method is more scientific and reliable, and can reduce errors caused by human judgment.

[0034] Specifically, the specific analysis of judging whether the current equipment oxygen content needs to be adjusted according to the current yellow tea yellowing fermentation stage is as follows: based on the yellow tea yellowing demand, the oxygen demand range of each stage is obtained, and then the current oxygen demand range is determined according to the current yellow tea yellowing fermentation stage; the current equipment oxygen content is compared with the current oxygen demand range, and when the current equipment oxygen content is within the current oxygen demand range, the current equipment oxygen content does not need to be adjusted; when the current equipment oxygen content is not within the current oxygen demand range, the current equipment oxygen content needs to be adjusted, and the equipment oxygen content is adjusted according to the relationship between the environmental experiment data and the equipment oxygen content.

[0035] In this embodiment, the specific method for obtaining the oxygen demand range of each stage is as follows: the oxygen demand data of each stage in the yellow tea fermentation process is obtained through a large number of experiments, and the oxygen demand range of each stage is determined based on these data, including analyzing the relationship between tea quality and oxygen content in different fermentation stages to determine the optimal oxygen level; the historical production data and empirical rules of yellow tea fermentation can be used, combined with actual production conditions, to statistically analyze and summarize the oxygen demand range of different fermentation stages; or a simulation model can be used to simulate the gas exchange and oxygen consumption in the yellow tea fermentation process, predict the oxygen demand in different fermentation stages, and then determine the demand range.

[0036] By comparing the oxygen content of the equipment with the oxygen demand range of each stage of yellow tea fermentation, it is possible to accurately determine whether adjustment is needed to ensure that the oxygen content always meets the fermentation requirements. Accurate control helps to optimize the fermentation effect and improve the quality of yellow tea. When the oxygen content is within the required range, no additional adjustment is required, avoiding unnecessary energy consumption and waste of resources. The intelligent adjustment method can effectively reduce production costs and improve resource utilization efficiency. The system is allowed to automatically determine and adjust the oxygen content without human intervention, which improves the automation and intelligence level of the production process. The system can adapt to the needs of different fermentation stages, reduce human errors, and ensure the consistency and stability of the fermentation process. By accurately adjusting the oxygen content, each fermentation stage is ensured to be under optimal conditions, which can effectively improve the quality consistency of the product and avoid quality fluctuations caused by improper oxygen regulation.

[0037] A specific example is: in a yellow tea fermentation equipment, a batch of tea leaves is planned to be fermented. The fermentation of yellow tea is divided into three stages: initial, middle and late stages. The oxygen content requirement range in each stage is different: the oxygen demand range in the initial stage is 5%-7%, and the oxygen content in the equipment in the current stage is detected to be 8%, which exceeds the demand range in the initial stage and needs to be adjusted; the oxygen demand range in the middle stage is 3%-5%, and in the current stage, the oxygen content is detected to be 4%, which is just within the demand range and does not require any adjustment; the oxygen demand range in the late stage is 1%-3%, and the oxygen content in the equipment in the current stage is detected to be 4%, which is higher than the demand in the late stage and needs to be adjusted.

[0038] Specifically, the specific analysis of adjusting the oxygen content of the equipment according to the relationship between the environmental experimental data and the oxygen content of the equipment is as follows: taking the difference between the current equipment oxygen content and the upper and lower limit thresholds of the current oxygen demand range, and then comparing the difference between the current equipment oxygen content and the upper and lower limit thresholds of the current oxygen demand range, and taking the minimum difference as the required adjustment amount of the current equipment oxygen content; and then determining the gas exchange frequency to be adjusted or the equipment internal pressure to be adjusted or the nitrogen content to be adjusted according to the multivariate regression equation between the gas exchange frequency, the equipment internal pressure and the nitrogen content and the equipment oxygen content and the regression coefficient of the gas exchange frequency, the regression coefficient of the equipment internal pressure, the regression coefficient of the nitrogen content and the required adjustment amount of the current equipment oxygen content; adjusting the gas exchange frequency according to the gas exchange frequency to be adjusted, or adjusting the equipment internal pressure according to the equipment internal pressure to be adjusted, or adjusting the nitrogen content according to the nitrogen content to be adjusted, thereby achieving the adjustment of the oxygen content of the equipment.

[0039] In this embodiment, the gas exchange frequency is adjusted according to the gas exchange frequency to be adjusted, or the internal pressure of the device is adjusted according to the internal pressure of the device to be adjusted, or the nitrogen content is adjusted according to the nitrogen content to be adjusted, so as to adjust the oxygen content of the device. When adjusting the gas exchange frequency, the internal pressure of the device, or the nitrogen content, the other two factors are taken as constants, and the multiple regression equation can be regarded as: O2 = β x *X+A, where β x represents the regression coefficient of the gas exchange frequency or the regression coefficient of the internal pressure of the device or the regression coefficient of the oxygen content of the device, X represents the gas exchange frequency or the internal pressure of the device or the oxygen content of the device, A represents the constant term of the multiple regression equation, and when the gas exchange frequency is adjusted, X represents the gas exchange frequency, β x Represents the regression coefficient of gas exchange frequency, then O2=β1*F+A, then the gas exchange frequency to be adjusted is: ΔO2 represents the amount of adjustment required for the current oxygen content of the device; when the internal pressure of the device is adjusted, X represents the internal pressure of the device, β x Represents the regression coefficient of the internal pressure of the equipment, then O2=β2*P+A, then the internal pressure of the equipment to be adjusted is: When the nitrogen content is adjusted, X represents the nitrogen content, β x Represents the regression coefficient of nitrogen content, then O2=β3*N+A, then the nitrogen content to be adjusted is:

[0040] By comparing the difference between the current oxygen content of the equipment and the upper and lower limits of the required range, the required adjustment amount can be accurately calculated to avoid excessive or insufficient adjustment, ensuring that the oxygen content is within the optimal range; based on real-time environmental data, the system can dynamically adjust the operating parameters of the equipment according to different fermentation stages and real-time environmental changes to keep the oxygen content within the optimal range; oxygen content is controlled by adjusting multiple parameters such as gas exchange frequency, internal pressure of the equipment and nitrogen content, which increases the flexibility and accuracy of adjustment; precise control of oxygen content during the fermentation process can improve the fermentation quality of yellow tea, and ultimately improve the flavor and quality of the tea.

[0041] In summary, this application has at least the following effects:

[0042] By real-time monitoring of enzyme activity indicators and analyzing the relationship between environmental experimental data and equipment oxygen content, the oxygen content in the equipment can be precisely adjusted to maintain appropriate yellowing fermentation conditions, thereby improving the quality and consistency of yellow tea; based on the relationship between enzyme activity and oxygen content, the fermentation stage of yellow tea can be accurately determined, thereby optimizing the fermentation process and enhancing the flavor and aroma of yellow tea; the model established based on experimental data can provide a scientific basis for the operation and adjustment of equipment, reduce the uncertainty of manual intervention and experience-based judgment, and thus achieve a more stable and reliable production process; effectively controlling oxygen content can avoid excessive oxygen input, reduce energy consumption and resource waste, and avoid negative impacts on the quality of yellow tea; support automated control systems, through real-time data analysis and feedback mechanisms, improve the degree of automation of the production process, reduce the complexity and error rate of manual operations, achieve standardization of the yellow tea production process, improve production repeatability and consistency, and help establish a more standardized production process.

[0043] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0044] The present invention is described with reference to a flowchart of a method according to an embodiment of the present invention. It should be understood that the combination of each process in the flowchart can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the flowchart. Figure 1 A device that specifies functions in a process or multiple processes.

[0045] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A function specified in a process or multiple processes.

[0046] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1The steps of a specified function in a process or multiple processes.

[0047] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0048] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for monitoring and controlling oxygen content in yellow tea steaming equipment, characterized in that: The following steps are involved: Obtain the experimental data of the yellow tea yellowing process, including environmental experimental data and corresponding equipment oxygen content data; Based on the experimental data of the yellow tea yellowing process, the relationship between the environmental experimental data and the oxygen content of the equipment is identified; Based on the real-time monitoring of the enzyme activity index during the yellow tea fermentation process, the current yellow tea fermentation stage is judged, and then the current equipment oxygen content is identified based on the relationship between environmental experimental data and equipment oxygen content; The current yellow tea fermentation stage is used to determine whether the current oxygen content of the equipment needs to be adjusted, and then the oxygen content of the equipment is adjusted based on the relationship between the environmental experimental data and the oxygen content of the equipment.

2. The method for monitoring and controlling oxygen content in yellow tea yellowing equipment according to claim 1, characterized in that: The environmental experimental data specifically include gas exchange frequency, equipment internal pressure and nitrogen content.

3. The method for monitoring and controlling oxygen content in yellow tea yellowing equipment according to claim 1, characterized in that: The specific analysis of the relationship between the experimental data of the yellow tea yellowing process and the oxygen content of the equipment is as follows: A multiple regression equation is set between the gas exchange frequency, the internal pressure of the equipment, the nitrogen content and the oxygen content of the equipment, wherein the undetermined coefficients in the multiple regression equation specifically include the regression coefficient of the gas exchange frequency, the regression coefficient of the internal pressure of the equipment and the regression coefficient of the nitrogen content; Obtain experimental data of the yellow tea yellowing process, which covers different gas exchange frequencies, equipment internal pressures and nitrogen content combinations, and obtain equipment oxygen content corresponding to different gas exchange frequencies, equipment internal pressures and nitrogen content combinations; The experimental data of the yellow tea yellowing process and the corresponding equipment oxygen content were processed for missing values ​​and outliers, and further standardized by removing dimensions; The experimental data of the standardized yellow tea yellowing process and the corresponding equipment oxygen content were fit using the set multivariate regression equation to obtain the regression coefficients of gas exchange frequency, internal pressure of the equipment and nitrogen content. The regression coefficients of gas exchange frequency, internal pressure of the equipment and nitrogen content were used to quantify the relationship between gas exchange frequency, internal pressure of the equipment and nitrogen content and equipment oxygen content.

4. The method for monitoring and controlling oxygen content in yellow tea yellowing equipment according to claim 1, characterized in that: The enzyme activity index during the yellow tea yellowing process specifically includes the enzyme activity change rate and the enzyme activity absolute value.

5. The method for monitoring and controlling oxygen content in yellow tea yellowing equipment according to claim 1, characterized in that: The specific analysis of judging the current yellow tea fermentation stage based on real-time monitoring of enzyme activity indexes during the yellow tea fermentation process is as follows: Obtaining the absolute value of the enzyme activity at each time point, and then obtaining the enzyme activity change rate at each time point according to the change of the absolute value of the enzyme activity at each time point; Based on the enzyme activity index monitoring requirements during the yellowing process of yellow tea, the enzyme activity index thresholds are obtained, wherein the enzyme activity index thresholds specifically include: enzyme activity absolute value valley threshold, enzyme activity absolute value peak-valley threshold, enzyme activity change rate valley threshold, enzyme activity change rate peak-valley threshold and enzyme activity change rate floating balance point; Based on the comparison of the absolute value of enzyme activity and the enzyme activity change rate at each time point with the corresponding enzyme activity index threshold, the current yellow tea fermentation stage is identified, and the yellow tea fermentation stage specifically includes the initial stage, the middle stage and the late stage; The initial stage is specifically: the absolute value of the enzyme activity is less than or equal to the absolute value trough threshold of the enzyme activity, and the enzyme activity change rate is greater than the enzyme activity change rate peak-to-trough threshold; The mid-term stage is specifically: the absolute value of the enzyme activity is less than or equal to the peak-valley threshold of the absolute value of the enzyme activity and greater than the trough threshold of the absolute value of the enzyme activity, and at the same time, the enzyme activity change rate is less than or equal to the floating balance point of the enzyme activity change rate; The later stage is specifically as follows: the absolute value of the enzyme activity is greater than the peak-valley threshold of the absolute value of the enzyme activity and the enzyme activity change rate is less than or equal to the enzyme activity change rate trough threshold.

6. The method for monitoring and controlling oxygen content in yellow tea yellowing equipment according to claim 1, characterized in that: The specific analysis of identifying the current equipment oxygen content based on the relationship between environmental experimental data and equipment oxygen content is as follows: Obtain real-time equipment environment data, including gas exchange frequency, equipment internal pressure and nitrogen content; Based on the multiple regression equation between gas exchange frequency, equipment internal pressure and nitrogen content and equipment oxygen content and the regression coefficient of gas exchange frequency, equipment internal pressure and nitrogen content, the gas exchange frequency, equipment internal pressure and nitrogen content acquired in real time are analyzed to obtain the current equipment oxygen content.

7. The method for monitoring and controlling oxygen content in yellow tea yellowing equipment according to claim 1, characterized in that: The specific analysis of judging whether the oxygen content of the current equipment needs to be adjusted according to the current yellow tea fermentation stage is as follows: Based on the yellow tea fermentation requirements, the oxygen demand range of each stage is obtained, and then the current oxygen demand range is determined according to the current yellow tea fermentation stage; Compare the current equipment oxygen content with the current oxygen demand range. When the current equipment oxygen content is within the current oxygen demand range, the current equipment oxygen content does not need to be adjusted; When the current equipment oxygen content is not within the current oxygen demand range, the current equipment oxygen content needs to be adjusted, and the equipment oxygen content is adjusted according to the relationship between the environmental test data and the equipment oxygen content.

8. The method for monitoring and controlling oxygen content in yellow tea yellowing equipment according to claim 7, characterized in that: The specific analysis of adjusting the oxygen content of the equipment based on the relationship between the environmental experimental data and the oxygen content of the equipment is as follows: The difference between the current device oxygen content and the upper and lower limit thresholds of the current oxygen demand range is taken respectively, and then the difference between the current device oxygen content and the upper and lower limit thresholds of the current oxygen demand range is compared, and the minimum difference is taken as the required adjustment amount of the current device oxygen content; Then, the gas exchange frequency to be adjusted, the internal pressure of the equipment to be adjusted, or the nitrogen content to be adjusted is determined according to the multiple regression equation between the gas exchange frequency, the internal pressure of the equipment, the nitrogen content, and the oxygen content of the equipment, the regression coefficient of the gas exchange frequency, the regression coefficient of the internal pressure of the equipment, the regression coefficient of the nitrogen content, and the required adjustment amount of the current oxygen content of the equipment; The gas exchange frequency is adjusted according to the gas exchange frequency that needs to be adjusted, or the internal pressure of the equipment is adjusted according to the internal pressure of the equipment that needs to be adjusted, or the nitrogen content is adjusted according to the nitrogen content that needs to be adjusted, thereby achieving the adjustment of the oxygen content of the equipment.

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