Method for monitoring and controlling oxygen content of huang tea in huang tea yellowing equipment

Abstract

The application discloses a method for monitoring and controlling oxygen content of a yellow tea steaming equipment, and relates to the technical field of oxygen content monitoring. Experimental data of a yellow tea steaming process is obtained, including environmental experimental data and corresponding equipment oxygen content data. The relationship between the environmental experimental data and the equipment oxygen content is identified according to the experimental data of the yellow tea steaming process. The enzyme activity index in the yellow tea steaming process is monitored in real time to determine the steaming fermentation stage of the current yellow tea, and then the current equipment oxygen content is identified according to the relationship between the environmental experimental data and the equipment oxygen content. Whether the current equipment oxygen content needs to be adjusted is determined according to the steaming fermentation stage of the current yellow tea, and then the equipment oxygen content is adjusted according to the relationship between the environmental experimental data and the equipment oxygen content. The method realizes accurate control of the oxygen content in the yellow tea fermentation process, reduces the inconsistency caused by manual intervention, and ensures the steaming effect of the yellow tea in different production batches.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oxygen content monitoring, in particular to an oxygen content monitoring and control method for a yellow tea yellowing equipment. BACKGROUND

[0002] The production process of yellow tea includes withering, fixation, rolling, yellowing, drying and other steps. Among them, yellowing (also known as yellowing) is a key stage, which needs to be carried out in a specific oxygen environment to promote the chemical change of phenolic substances in 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 tea quality.

[0003] Traditional yellow tea yellowing equipment often relies on manual or rough adjustment of oxygen content, making it difficult to accurately regulate according to different stages of yellow tea fermentation, which can easily lead to excessive or insufficient oxygen content, affecting the fermentation effect and final quality of tea. The existing technology lacks accurate monitoring and dynamic adjustment means for oxygen content, resulting in unstable fermentation process and difficulty in ensuring tea quality. Moreover, many existing yellow tea yellowing equipment lack real-time monitoring and feedback mechanisms for key indicators during the fermentation process, making it impossible to respond to changes in the fermentation process in a timely manner, which can affect the quality and taste of tea.

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

[0005] In view of the deficiencies of the prior art, the present application provides an oxygen content monitoring and control method for a yellow tea yellowing equipment, which solves the problem of difficulty in accurately determining the fermentation stage of yellow tea, resulting in uneven or incomplete fermentation and affecting tea quality. Inappropriate oxygen content during the fermentation process can lead to poor fermentation results and unstable tea quality, and real-time oxygen content monitoring and adjustment is difficult.

[0006] To achieve the above purpose, the present application realizes the following technical scheme: an oxygen content monitoring and control method for a 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 according to the experimental data of the yellow tea yellowing process; determining the current yellow tea yellowing fermentation stage based on real-time monitoring of the enzyme activity index in the yellow tea yellowing process, and then identifying the current equipment oxygen content according to the relationship between the environmental experimental data and the equipment oxygen content; determining whether the current equipment oxygen content needs to be adjusted through the current yellow tea yellowing fermentation stage, and then adjusting the equipment oxygen content according to the relationship between the environmental experimental data and the equipment oxygen content.

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

[0008] Further, the specific analysis of identifying the relationship between the environmental experimental data and the equipment oxygen content according to the experimental data of the yellow tea yellowing process is as follows: a multiple regression equation between the gas exchange frequency, the equipment internal pressure, the nitrogen content and the equipment oxygen content is set, the undetermined coefficients in the multiple regression equation specifically include the regression coefficient of the gas exchange frequency, the regression coefficient of the equipment internal pressure and the regression coefficient of the nitrogen content; the experimental data of the yellow tea yellowing process is obtained, the experimental data covers different combinations of the gas exchange frequency, the equipment internal pressure and the nitrogen content, and the equipment oxygen content corresponding to different combinations of the gas exchange frequency, the equipment internal pressure and the 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 are further removed for dimensionality and standardized; the experimental data of the yellow tea yellowing process and the corresponding equipment oxygen content after the standardization are fitted by using the set multiple regression equation, the regression coefficient of the gas exchange frequency, the regression coefficient of the equipment internal pressure and the regression coefficient of the nitrogen content are obtained, and the relationship between the gas exchange frequency, the equipment internal pressure and the nitrogen content and the equipment oxygen content is quantified by using the regression coefficient of the gas exchange frequency, the regression coefficient of the equipment internal pressure and the regression coefficient of the nitrogen content respectively.

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

[0010] Further, the specific analysis of judging the current yellow tea fermentation stage based on the enzyme activity index in the process of yellow tea yellowing is as follows: obtaining the absolute value of 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 enzyme activity at each time point; obtaining the enzyme activity index threshold based on the enzyme activity index monitoring requirement in the process of yellow tea yellowing, wherein the enzyme activity index threshold specifically includes: enzyme activity absolute value trough threshold, enzyme activity absolute value peak-valley threshold, enzyme activity change rate trough threshold, enzyme activity change rate peak-valley threshold, and enzyme activity change rate floating balance point; comparing the absolute value of enzyme activity and the enzyme activity change rate at each time point with the corresponding enzyme activity index threshold, and identifying the current yellow tea yellowing fermentation stage, wherein the yellow tea yellowing fermentation stage specifically includes the initial stage, the middle stage and the late stage; the initial stage specifically refers to that the absolute value of enzyme activity is less than or equal to the enzyme activity absolute value trough threshold, and the enzyme activity change rate is greater than the enzyme activity change rate peak-valley threshold; the middle stage specifically refers to that the absolute value of enzyme activity is less than or equal to the enzyme activity absolute value peak-valley threshold and greater than the enzyme activity absolute value trough threshold, and the enzyme activity change rate is less than or equal to the enzyme activity change rate floating balance point; the late stage specifically refers to that the absolute value of enzyme activity is greater than the enzyme activity absolute value peak-valley threshold, and the enzyme activity change rate is less than or equal to the enzyme activity change rate trough threshold.

[0011] Further, the specific analysis of identifying the current device oxygen content according to the relationship between the environmental experimental data and the device oxygen content is as follows: obtaining real-time device environmental data, which specifically includes gas exchange frequency, device internal pressure and nitrogen content; analyzing the real-time obtained gas exchange frequency, device internal pressure and nitrogen content based on the multiple regression equation between the gas exchange frequency, device internal pressure and nitrogen content and the device oxygen content, and the regression coefficient of the gas exchange frequency, the regression coefficient of the device internal pressure and the regression coefficient of the nitrogen content, to obtain the current device oxygen content.

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

[0013] Further, the specific analysis of adjusting the oxygen content of the device according to the relationship between the environmental experimental data and the oxygen content of the device is as follows: taking the difference between the current oxygen content of the device and the upper and lower threshold values of the current oxygen demand range, and then comparing the difference between the current oxygen content of the device and the upper and lower threshold values of the current oxygen demand range, taking the minimum difference as the required adjustment amount of the current oxygen content of the device; then determining the required adjustment of the gas exchange frequency or the required adjustment of the internal pressure of the device or the required adjustment of the nitrogen content according to the multiple regression equation between the gas exchange frequency, the internal pressure of the device and the nitrogen content and the oxygen content of the device, and the regression coefficient of the gas exchange frequency, the regression coefficient of the internal pressure of the device, the regression coefficient of the nitrogen content and the required adjustment amount of the current oxygen content of the device; adjusting the gas exchange frequency according to the required adjustment of the gas exchange frequency or adjusting the internal pressure of the device according to the required adjustment of the internal pressure of the device or adjusting the nitrogen content according to the required adjustment of the nitrogen content, thereby realizing the adjustment of the oxygen content of the device.

[0014] The present application has the following advantages:

[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 of the enzyme activity index during the yellow tea yellowing process and combining the relationship between the environmental experimental data and the oxygen content of the device, ensuring the provision of the most suitable oxygen environment in different fermentation stages, which helps to improve the consistency of fermentation, reduce unnecessary oxygen fluctuations, and thus ensure 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 can avoid the adverse effects of excessive or insufficient oxygen on fermentation, not only improving the fermentation efficiency, but also preventing excessive oxidation or incomplete oxidation during the fermentation process of the yellow tea, so that the color, aroma, taste and nutritional components of the tea are better preserved and developed; accurate oxygen monitoring and adjustment can effectively reduce problems such as re-adjustment and equipment wear caused by improper oxygen content, reduce energy consumption and resource waste, improve production efficiency, and help achieve the goal of energy saving and environmental protection, while maintaining the high quality of yellow tea, reducing production costs; the whole process automation control from data collection, analysis to adjustment is realized, reducing the need for manual intervention and improving the intelligent level of the production process; the automatic control system can respond to changes in the environment and fermentation conditions in real time, ensuring that the oxygen content is always within the optimal range, thereby reducing human error, improving product consistency and production efficiency, meeting the needs of consumers for high-quality tea, enhancing brand value, and promoting the modernization development of yellow tea production.

[0016] Of course, implementing any product of the present application does not necessarily require achieving all the advantages described above at the same time. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1The oxygen content monitoring and control method flowchart of the yellow tea yellowing equipment. DETAILED DESCRIPTION

[0018] The application embodiment realizes accurate control of the oxygen content in the yellow tea fermentation process, reduces the inconsistency caused by manual intervention, and ensures the yellow tea yellowing effect between different production batches.

[0019] The general idea of the problem in the application embodiment is as follows:

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

[0021] Please refer to Figure 1 The application embodiment provides a technical solution: an oxygen content monitoring and control method of a yellow tea yellowing equipment, including the following steps: obtaining experimental data of a 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 according to the experimental data of the yellow tea yellowing process; determining the yellowing fermentation stage of the current yellow tea based on real-time monitoring of the enzyme activity index in the yellow tea yellowing process, and then identifying the current equipment oxygen content according to the relationship between the environmental experimental data and the equipment oxygen content; determining whether the current equipment oxygen content needs to be adjusted through the yellowing fermentation stage of the current yellow tea, and then adjusting the equipment oxygen content according to the relationship between the environmental experimental data and the equipment oxygen content.

[0022] Specifically, the environmental experimental data specifically include the gas exchange frequency, the internal pressure of the device, and the nitrogen content. The specific analysis of identifying the relationship between the environmental experimental data and the oxygen content of the device according to the experimental data of the yellow tea yellowing process is: a multiple regression equation between the gas exchange frequency, the internal pressure of the device, the nitrogen content, and the oxygen content of the device is set: O2= β0+ β1*F+ β2*P+ β3*N+ ω, wherein O2 represents the oxygen content of the device, F represents the gas exchange frequency, P represents the internal pressure of the device, N represents the nitrogen content, β0 represents a constant term, β1, β2, and β3 are respectively the regression coefficient of the gas exchange frequency, the regression coefficient of the internal pressure of the device, and the regression coefficient of the nitrogen content, and ω is an error term. 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 device, and the regression coefficient of the nitrogen content; the experimental data of the yellow tea yellowing process are obtained, the experimental data cover different combinations of the gas exchange frequency, the internal pressure of the device, and the nitrogen content, and the oxygen content of the device corresponding to different combinations of the gas exchange frequency, the internal pressure of the device, and the nitrogen content is obtained; the experimental data of the yellow tea yellowing process and the corresponding oxygen content of the device are subjected to missing value and abnormal value processing, and are further subjected to dimensionality reduction and standardization processing; the experimental data of the yellow tea yellowing process and the corresponding oxygen content of the device after the standardization processing are fitted by 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 device, and the regression coefficient of the nitrogen content, and the relationship between the gas exchange frequency, the internal pressure of the device, and the nitrogen content and the oxygen content of the device is quantified by using the regression coefficient of the gas exchange frequency, the regression coefficient of the internal pressure of the device, and the regression coefficient of the nitrogen content, respectively.

[0023] In the embodiment, the gas exchange frequency represents the replacement number or rate of the air in the device per unit time, which is specifically measured by a gas flow meter or a gas exchange device installed on the device, and the internal oxygen content of the device can be controlled by adjusting the gas exchange frequency; the internal pressure of the device represents the gas pressure in the yellow tea yellowing device, which is specifically measured in real time by a pressure sensor installed in the device, and the pressure adjustment can be achieved by increasing or decreasing the gas supply or adjusting the sealing property of the device; the nitrogen content represents the concentration of nitrogen in the device, which is specifically detected by a gas composition analyzer or a chemical sensor, and the nitrogen content can be achieved by adjusting the nitrogen supply amount or diluting gas.

[0024] An experimental scheme covering different combinations of gas exchange frequency, internal pressure of the device, and nitrogen content is designed to ensure that the experimental data are representative and extensive. In the experiment, the oxygen content inside the device is recorded as the response variable. The gas exchange frequency, internal pressure of the device, nitrogen content, and corresponding oxygen content data of the device during the yellowing process of the yellow tea are collected in real time through sensors or other measuring devices. The gas exchange frequency, internal pressure of the device, nitrogen content, and oxygen content of the device can be standardized by converting the data into a standard normal distribution with a mean of 0 and a standard deviation of 1, which helps to eliminate the influence of dimensional differences between different variables.

[0025] The multiple regression equation is fitted to obtain the regression coefficients of the gas exchange frequency, the regression coefficients of the internal pressure of the device, and the regression coefficients of the oxygen content of the device. Specifically, the least squares method (OLS) or other regression algorithms can be used. The preprocessed experimental data is substituted into the set multiple regression equation for fitting to obtain the estimated value of the regression coefficient. Further, the goodness of fit and statistical significance of the multiple regression equation are evaluated by the R-square value, residual analysis, F test, etc. to determine the effectiveness of the multiple regression equation. If the multiple regression equation is not effective, 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 is also estimated using the least squares method (OLS) or other regression analysis methods to minimize the squared 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. The residual error is obtained after regression analysis, which refers to the difference between the actual observation and the model prediction.

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

[0027] Specifically, the enzyme activity index during the yellowing process of yellow tea includes the enzyme activity change rate and the enzyme activity absolute value. Based on the real-time monitoring of the enzyme activity index during the yellowing process of yellow tea, the current yellowing fermentation stage of yellow tea is determined by analyzing the enzyme activity absolute value at each time point and the enzyme activity change rate at each time point according to the change of the enzyme activity absolute value at each time point. The enzyme activity index threshold value is obtained based on the monitoring requirement of the enzyme activity index during the yellowing process of yellow tea, and the enzyme activity index threshold value includes the enzyme activity absolute value trough threshold value, the enzyme activity absolute value peak-valley threshold value, the enzyme activity change rate trough threshold value, the enzyme activity change rate peak-valley threshold value, and the enzyme activity change rate floating balance point. The current yellowing fermentation stage of yellow tea is identified by comparing the enzyme activity absolute value and the enzyme activity change rate at each time point with the corresponding enzyme activity index threshold value. The yellowing fermentation stage of yellow tea includes the initial stage, the middle stage, and the late stage. The initial stage is that the enzyme activity absolute value is less than or equal to the enzyme activity absolute value trough threshold value, and the enzyme activity change rate is greater than the enzyme activity change rate peak-valley threshold value. The middle stage is that the enzyme activity absolute value is less than or equal to the enzyme activity absolute value peak-valley threshold value and greater than the enzyme activity absolute value trough threshold value, and the enzyme activity change rate is less than or equal to the enzyme activity change rate floating balance point. The late stage is that the enzyme activity absolute value is greater than the enzyme activity absolute value peak-valley threshold value, and the enzyme activity change rate is less than or equal to the enzyme activity change rate trough threshold value.

[0028] In the present embodiment, the enzyme activity absolute value represents the rate of enzymatic reaction per unit time, which is represented by the amount of product generated by enzyme catalysis or the amount of substrate consumed. The change of enzyme activity is detected in real time by a spectrometer or other biosensors, and the enzyme activity absolute value is calculated based on light absorption value or other biochemical signals. The enzyme activity change rate represents the change rate of enzyme activity absolute value per unit time, i.e., the change speed of enzyme activity. The enzyme activity change rate at each time point is calculated by differentiating the enzyme activity absolute value at consecutive time points.

[0029] The absolute value of enzyme activity trough threshold value represents the lower limit of the absolute value of enzyme activity in the initial or low active stage of fermentation. The average value or distribution interval of the lowest point of enzyme activity is found through statistical analysis of a large number of yellow tea yellowing experiment data, which is used as the trough threshold value. The absolute value of enzyme activity peak valley threshold value represents the upper limit of the absolute value of enzyme activity when the enzyme activity reaches the peak in the fermentation process. The average value or distribution interval of the peak of enzyme activity is found through statistical analysis of experimental data, which is used as the peak valley threshold value. The enzyme activity change rate trough threshold value represents the lower limit of the enzyme activity change rate when it is the lowest, which corresponds to the stage of slow enzyme activity change in the later fermentation. The average value or distribution interval when the change rate is the lowest is found through differential analysis of the experimental data of the enzyme activity change rate. The enzyme activity change rate peak valley threshold value represents the upper limit of the enzyme activity change rate when it is the highest, which corresponds to the initial or active stage of fermentation. The average value or distribution interval when the change rate is the highest is found through differential analysis of the experimental data of the enzyme activity change rate. The enzyme activity change rate floating balance point represents the change rate value when the enzyme activity tends to be stable, which is used to identify the stable stage in the middle of fermentation. The interval when the change rate gradually tends to be stable is found through time series analysis of the enzyme activity change rate, which is used as the reference value of the floating balance point.

[0030] By monitoring the absolute value and change rate of enzyme activity in real time, different fermentation stages in the yellow tea yellowing process can be accurately judged, which helps to optimize the control of oxygen content and improve the consistency and stability of tea quality. According to the change of enzyme activity in different fermentation stages, the oxygen content can be dynamically adjusted to ensure the optimization of the fermentation process and reduce manual intervention. Real-time monitoring and analysis of enzyme activity indicators make the production process more intelligent and automated, which can improve production efficiency and reduce energy consumption without affecting product quality.

[0031] Specific examples are as follows: assuming that the yellow tea is being fermented in the yellowing process, the enzyme activity index threshold value is set as follows: the absolute value of enzyme activity trough threshold value is 50 units, the absolute value of enzyme activity peak valley threshold value is 150 units, the enzyme activity change rate trough threshold value is-2 units / min, the enzyme activity change rate peak valley threshold value is 3 units / min, and the enzyme activity change rate floating balance point is 0 units / min. The absolute value of enzyme activity is 40 units, and the enzyme activity change rate is 4 units / min. Since the absolute value of enzyme activity (40 units) is lower than the trough threshold value (50 units), and the enzyme activity change rate (4 units / min) is higher than the peak valley threshold value (3 units / min), it is judged that the stage is the initial stage.

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

[0033] In the present embodiment, by obtaining real-time device environmental data and based on the established multiple regression model, the oxygen content in the current device can be quickly and accurately identified, and the real-time and accuracy help to ensure that the oxygen level in the yellow tea fermentation process is always in the best range, avoiding excessive oxidation or insufficient oxygen; the multiple regression equation constructed by using experimental data can better reflect the influence of complex environmental factors on the oxygen content of the device, unlike the traditional empirical adjustment method, this data-driven decision-making method is more scientific and reliable, which can reduce the error caused by human judgment.

[0034] Specifically, the specific analysis of determining whether the current device oxygen content needs to be adjusted by the current yellow tea fermentation stage is: obtaining the oxygen demand range of each stage based on the yellow tea fermentation demand, and then determining the current oxygen demand range according to the current yellow tea fermentation stage; comparing the current device oxygen content with the current oxygen demand range, when the current device oxygen content is within the current oxygen demand range, the current device oxygen content does not need to be adjusted; when the current device oxygen content is not within the current oxygen demand range, the current device oxygen content needs to be adjusted, and the device oxygen content is adjusted according to the relationship between the environmental experimental data and the device oxygen content.

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

[0036] By comparing the oxygen content of the device with the oxygen demand range of each stage of yellow tea fermentation, it can be accurately judged whether adjustment is needed to ensure that the oxygen content always meets the fermentation demand. Precise control helps to optimize fermentation effect and improve the quality of yellow tea. When the oxygen content is within the demand range, no additional adjustment is needed, avoiding unnecessary energy consumption and resource waste. Intelligent adjustment can effectively reduce production costs and improve resource utilization efficiency. The system can automatically judge and adjust the oxygen content without human intervention, improving the automation and intelligence level of the production process. The system can adapt to the needs of different fermentation stages, reducing human errors and ensuring the consistency and stability of the fermentation process. By precisely adjusting the oxygen content, it ensures that each fermentation stage is under optimal conditions, effectively improving the quality consistency of the product and avoiding quality fluctuations caused by improper oxygen adjustment.

[0037] For example, in a yellow tea fermentation device, a batch of tea is planned to be fermented, and the yellow tea fermentation is divided into three stages: initial, middle and late. Each stage has different oxygen demand ranges: the initial stage requires 5%-7% oxygen, the current oxygen content in the device is 8%, which exceeds the demand range of the initial stage and needs to be adjusted; the middle stage requires 3%-5% oxygen, and the current oxygen content is 4%, which is within the demand range and does not need any adjustment; the late stage requires 1%-3% oxygen, and the current oxygen content in the device is 4%, which is higher than the demand of the late stage and needs to be adjusted.

[0038] Specifically, the specific analysis of adjusting the device oxygen content according to the relationship between environmental experimental data and device oxygen content is as follows: take the difference between the current device oxygen content and the upper and lower threshold values of the current oxygen demand range, and then compare the difference between the current device oxygen content and the upper and lower threshold values of the current oxygen demand range, and take the minimum difference as the required adjustment amount of the current device oxygen content; then determine the required adjustment of gas exchange frequency or the required adjustment of device internal pressure or the required adjustment of nitrogen content according to the multiple regression equation between gas exchange frequency, device internal pressure and nitrogen content and device oxygen content, and the regression coefficient of gas exchange frequency, the regression coefficient of device internal pressure, the regression coefficient of nitrogen content and the required adjustment amount of current device oxygen content; adjust the gas exchange frequency according to the required adjustment of gas exchange frequency or adjust the device internal pressure according to the required adjustment of device internal pressure or adjust the nitrogen content according to the required adjustment of nitrogen content, and then realize the adjustment of device oxygen content.

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

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

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

[0042] By monitoring the enzyme activity index in real time and analyzing the relationship between the environmental experimental data and the oxygen content of the equipment, the oxygen content in the equipment can be accurately adjusted to maintain suitable yellowing fermentation conditions, thereby improving the quality and consistency of yellow tea; according to the relationship between enzyme activity and oxygen content, the fermentation stage of yellow tea can be accurately judged, thereby optimizing the fermentation process and improving 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 the equipment, reducing the uncertainty of manual intervention and experience judgment, thereby realizing a more stable and reliable production process; effective control of oxygen content can avoid excessive oxygen input, reduce energy consumption and resource waste, and at the same time avoid negative effects on the quality of yellow tea; supporting an automatic control system, through real-time data analysis and feedback mechanism, the degree of automation of the production process is improved, the complexity and error rate of manual operation are reduced, the standardization of the yellow tea production process is realized, the repeatability and consistency of production are improved, which helps to establish a more standardized production process.

[0043] Those skilled in the art will appreciate that embodiments of the application can be provided as methods. Accordingly, the application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer-readable program code.

[0044] The application is described with reference to flowcharts according to methods of embodiments of the application. It will be understood that each flow of the flowcharts 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 apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce an apparatus that implements the functions specified in the flowchart Figure 1 The apparatus that implements the functions specified in the flowchart

[0045] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific way, so that the instructions stored in the computer-readable memory produce a manufactured product including instruction apparatus, which implements the functions specified in the flowchart Figure 1 The apparatus that implements the functions specified in the flowchart

[0046] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide a process for implementing the functions specified in the flowchart Figure 1a step of a function specified in the one or more processes.

[0047] While the preferred embodiments of the application have been described, additional variations and modifications can be made to the preferred embodiments by those of skill in the art once they have the benefit of the present disclosure. Therefore, the appended claims are intended to encompass within their scope all possible variations and modifications of the preferred embodiments. 1

[0048] It is apparent that those skilled in the art can, without departing from the spirit and scope of the application, make various changes and modifications of the application. Thus, the present application is intended to encompass all such changes and modifications insofar as they come within the scope of the claims and their equivalents.

Claims

1. A method for monitoring and controlling the oxygen content in a yellow tea fermentation equipment, characterized in that, Includes the following steps: The experimental data on the yellowing process of yellow tea were obtained, including environmental experimental data and corresponding equipment oxygen content data. Based on experimental data from the yellow tea fermentation process, the relationship between environmental experimental data and equipment oxygen content was identified. Based on real-time monitoring of enzyme activity indicators during the yellowing process of yellow tea, the current yellowing and fermentation stage of yellow tea is determined, and then the current oxygen content of the equipment is identified based on the relationship between environmental experimental data and equipment oxygen content. Based on real-time monitoring of enzyme activity indicators during the yellowing process of yellow tea, the current stage of yellow tea fermentation is determined as follows: The absolute values ​​of enzyme activity at each time point are obtained, and then the rate of change of enzyme activity at each time point is obtained based on the changes in the absolute values ​​of enzyme activity at each time point. Based on the need to monitor enzyme activity during the yellowing process of yellow tea, enzyme activity index thresholds are obtained. The enzyme activity index thresholds specifically include: enzyme activity absolute value trough threshold, enzyme activity absolute value peak and trough threshold, enzyme activity change rate trough threshold, enzyme activity change rate peak and trough threshold, and enzyme activity change rate fluctuation equilibrium point. By comparing the absolute value of enzyme activity and the rate of change of enzyme activity at each time point with the corresponding enzyme activity index threshold, the current yellow tea fermentation stage is identified. The yellow tea fermentation stage specifically includes the initial stage, the middle stage and the later stage. The initial stage specifically refers to the following: the absolute value of enzyme activity is less than or equal to the trough threshold of the absolute value of enzyme activity, and the rate of change of enzyme activity is greater than the peak-trough threshold of the rate of change of enzyme activity. The intermediate stage is specifically defined as follows: the absolute value of enzyme activity is less than or equal to the peak-to-trough threshold of the absolute value of enzyme activity and greater than the trough threshold of the absolute value of enzyme activity, while the rate of change of enzyme activity is less than or equal to the equilibrium point of the rate of change of enzyme activity. The later stage specifically refers to the following: the absolute value of enzyme activity is greater than the peak-to-trough threshold of the absolute value of enzyme activity and the rate of change of enzyme activity is less than or equal to the trough threshold of the rate of change of enzyme activity. By determining whether the oxygen content of the equipment needs to be adjusted based on the current fermentation stage of the yellow tea, and then adjusting the oxygen content of the equipment according to the relationship between environmental experimental data and the oxygen content of the equipment.

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

3. The method for monitoring and controlling the oxygen content in the yellow tea fermentation equipment according to claim 1, characterized in that, The specific analysis of identifying the relationship between environmental experimental data and equipment oxygen content based on experimental data of the yellow tea fermentation process is as follows: A multiple regression equation was established between the gas exchange frequency, the internal pressure of the equipment, the nitrogen content, and the oxygen content of the equipment. The undetermined coefficients in the multiple regression equation specifically include the regression coefficients of the gas exchange frequency, the internal pressure of the equipment, and the nitrogen content. Experimental data on the yellowing process of yellow tea were obtained, covering different combinations of gas exchange frequency, internal pressure and nitrogen content in the equipment, and the oxygen content in the equipment corresponding to different combinations of gas exchange frequency, internal pressure and nitrogen content was also obtained. The experimental data on the yellowing process of yellow tea and the corresponding equipment oxygen content were processed to remove missing and outlier values, and then further standardized by removing dimensions. The experimental data of the standardized yellow tea fermentation process and the corresponding equipment oxygen content were fitted using a set multiple regression equation to obtain the regression coefficients of gas exchange frequency, equipment internal pressure and nitrogen content. The relationship between gas exchange frequency, equipment internal pressure and nitrogen content and equipment oxygen content was quantified using the regression coefficients of gas exchange frequency, equipment internal pressure and nitrogen content respectively.

4. The method for monitoring and controlling the oxygen content in the yellow tea fermentation equipment according to claim 1, characterized in that, The enzyme activity indicators during the yellow tea fermentation process specifically include the enzyme activity change rate and the absolute value of enzyme activity.

5. The method for monitoring and controlling the oxygen content in the yellow tea fermentation equipment according to claim 1, characterized in that, The specific analysis for identifying the current oxygen content of the equipment based on the relationship between environmental experimental data and equipment oxygen content is as follows: Acquire real-time equipment environmental data, which specifically includes gas exchange frequency, internal equipment pressure, and nitrogen content. Based on the multiple regression equations between gas exchange frequency, internal equipment pressure, nitrogen content, and oxygen content in the equipment, as well as the regression coefficients of gas exchange frequency, internal equipment pressure, and nitrogen content, the real-time acquired gas exchange frequency, internal equipment pressure, and nitrogen content are analyzed to obtain the current oxygen content of the equipment.

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

7. The method for monitoring and controlling the oxygen content in the yellow tea fermentation equipment according to claim 6, characterized in that, The specific analysis of adjusting the oxygen content of the equipment based on the relationship between environmental test data and equipment oxygen content is as follows: The difference between the current oxygen content of the equipment and the upper and lower limits of the current oxygen demand range is calculated. Then, the difference between the current oxygen content of the equipment and the upper and lower limits of the current oxygen demand range is compared, and the smallest difference is taken as the required adjustment amount of the current oxygen content of the equipment. Then, based on the multiple regression equation between gas exchange frequency, internal equipment pressure, nitrogen content and oxygen content in the equipment, as well as the regression coefficients of gas exchange frequency, internal equipment pressure, and nitrogen content, and the required adjustment amount of current oxygen content in the equipment, the required adjustment amount of gas exchange frequency, internal equipment pressure, or nitrogen content is determined. The oxygen content of the equipment can be adjusted by adjusting the gas exchange frequency according to the required gas exchange frequency, adjusting the internal pressure of the equipment according to the required internal pressure, or adjusting the nitrogen content according to the required nitrogen content.

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