Optimization method based on fusion fermentation of tea-containing components and beer

Abstract

The invention belongs to the technical field of beer brewing, and provides an optimization method based on fusion fermentation of a tea-containing component and beer, which comprises the following steps: performing comparative analysis on cooling data to obtain an analysis signal, performing processing analysis on a continuous time period and a cooling rate in the continuous time period to obtain a change performance value, and calculating a tea-containing component content according to the change performance value. Whether the change trend of the cooling rate needs to be analyzed or not is judged, so that the situation that the fermentation quality is affected due to the fact that the cooling rate continuously changes and exceeds a cooling rate threshold value is prevented, trend analysis is conducted on the cooling rate value in the continuous time period, a change rule value is obtained, the change type of the cooling rate value is judged, and the fermentation quality is improved based on the change type of the cooling rate value. The remaining time when the cooling rate value reaches the cooling rate threshold value is obtained, the remaining time is compared with the remaining cooling time, whether cooling control needs to be carried out or not is judged according to the comparison result, cooling optimization in the fermentation process is achieved, and the fermentation quality is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of beer brewing, and specifically relates to an optimization method based on the fusion fermentation of tea-containing components and beer. Background Art

[0002] Beer is an alcoholic beverage made from malt, with or without added gelatinized starchy raw materials, saccharified, and hops added during the boiling process, and then fermented by yeast. Adding some tea-containing components for fusion fermentation is beneficial to improving the nutritional value of beer. However, during the production process of beer, multiple processing steps will affect the quality and taste of beer fermentation. Therefore, it is of great significance to study an optimization method based on the fusion fermentation of tea-containing components and beer;

[0003] In the prior art, in the production of tea-containing beer, due to the addition of tea components, the processing steps of beer become complicated, and there are various influencing factors during the production process, such as temperature, acidity and alkalinity, etc. However, the prior art often lacks fine monitoring and analysis of these influencing factors, and cannot guarantee the quality of beer.

[0004] Therefore, the present invention provides an optimization method based on the fusion fermentation of tea-containing components and beer. Summary of the Invention

[0005] In order to make up for the deficiencies of the prior art and solve at least one technical problem proposed in the background art.

[0006] The technical solution adopted by the present invention to solve its technical problems is: an optimization method based on the fusion fermentation of tea-containing components and beer, including:

[0007] Step 1: During the cooling period, obtain the cooling data in real time when cooling before the secondary mixed fermentation. Among them, the cooling data includes the cooling rate. Based on the comparison and analysis of the cooling data, an analysis signal is obtained;

[0008] Step 2: Based on the analysis signal, obtain the time period during which the analysis signal continuously appears and mark it as the continuous period. Based on the processing and analysis of the continuous period and the cooling rate within the continuous period, a change performance value is obtained. Based on the change performance value, it is judged whether it is necessary to analyze the change trend of the cooling rate. If so, a re-analysis signal is generated;

[0009] Step 3: Based on the re-analysis signal, perform a trend analysis on the cooling rate values within the continuous period to obtain a change rule value. Based on the change rule value, judge the change type of the cooling rate value, where the change type includes regular growth change and irregular growth change;

[0010] Step 4: Based on the change type of the cooling rate value, obtain the remaining time when the cooling rate value reaches the cooling rate threshold, compare the remaining time with the remaining cooling time, and determine whether cooling control is required according to the comparison result.

[0011] As a further technical solution of the present invention: The generation method of the analysis signal is as follows:

[0012] Obtain the cooling rate during cooling before secondary mixed fermentation, and construct a cooling change curve;

[0013] On the Y-axis of the coordinate system where the cooling change curve is located, mark the cooling rate threshold as the first reference value and the cooling rate warning value as the second reference value. Draw a straight line parallel to the X-axis through the first reference value and mark it as the standard line; draw a straight line parallel to the X-axis through the second reference value and mark it as the warning line;

[0014] If the cooling change curve is higher than the warning line and lower than the standard line, an analysis signal is generated.

[0015] As a further technical solution of the present invention: The acquisition method of the change performance value is as follows:

[0016] During the cooling cycle, when an analysis signal appears, obtain the continuous time period when the analysis signal appears in real time and mark it as the continuous period. Process and analyze the continuous period to obtain the continuous duration ratio CX. Process and analyze the cooling rate values within the continuous period to obtain the cooling approaching value LJ;

[0017] Through the formula: Obtain the change performance value BH, where s1 and s2 are both preset proportionality coefficients, where s1 takes the value of 1.214 and s2 takes the value of 1.305.

[0018] As a further technical solution of the present invention: The acquisition method of the continuous duration ratio CX is as follows:

[0019] Perform a ratio process on the duration corresponding to the continuous period and the duration corresponding to the cooling cycle to obtain the continuous duration ratio and mark it as CX;

[0020] The acquisition method of the cooling approaching value LJ is as follows:

[0021] Divide the continuous period into several time analysis nodes with equal time intervals, obtain the cooling rate values at each time analysis node, sum and average them to obtain the cooling rate value within the continuous period. Perform a difference process on the cooling rate value within the continuous period and the cooling rate threshold, and take the absolute value of the difference to obtain the cooling rate deviation. Perform a ratio process on the cooling rate deviation and the cooling rate threshold to obtain the cooling approaching value and mark it as LJ.

[0022] A further technical solution of the present invention is that the generation method of the re-analysis signal is as follows:

[0023] If the change performance value BH is greater than the change performance threshold, a re-analysis signal is generated.

[0024] A further technical solution of the present invention is that the acquisition method of the change rule value is as follows:

[0025] In the two-dimensional rectangular coordinate system where the temperature drop change curve is located, obtain the partial temperature drop change curve corresponding to the continuous time period and mark it as the over-warning curve;

[0026] Divide the over-warning curve into several sub-curves and obtain the slope value of each sub-curve;

[0027] If the slope value of the sub-curve is greater than 0, mark the sub-curve as the growth sub-curve;

[0028] Based on the processing and analysis of the growth sub-curves, obtain the growth occupancy ratio ZC and the growth stability value FC;

[0029] Through the formula: Obtain the change rule value ZG, where a1 and a2 are both preset proportionality coefficients, a1 takes the value of 1.5248, and a2 takes the value of 1.3124.

[0030] A further technical solution of the present invention is that the acquisition method of the growth occupancy ratio ZC and the growth stability value FC is as follows:

[0031] Count the number of growth sub-curves and perform a ratio process with the total number of sub-curves to obtain the growth occupancy ratio and mark it as ZC;

[0032] Obtain the slope values of all growth sub-curves, integrate them into a slope data group, obtain the variance value of the slope data group, and obtain the growth stability value and mark it as FC.

[0033] A further technical solution of the present invention is that the process of judging the change type of the temperature drop rate value based on the change rule value is as follows:

[0034] Compare the change rule value ZG with the change rule threshold;

[0035] If the change rule value ZG is greater than the change rule threshold, it indicates that the change type of the temperature drop rate value is a regular growth change;

[0036] If the change rule value ZG is less than or equal to the change rule threshold, the change type of the temperature drop rate value is an irregular growth change.

[0037] A further technical solution of the present invention is that the acquisition method of the remaining time is as follows:

[0038] If the change type of the cooling rate value is a regular increasing change, within the continuous period, mark the cooling rate value at the time analysis node in the coordinate system where the cooling change curve is located, and fit all the marked cooling rate value data points by the least squares method to obtain a fitting straight line. Extend the fitting straight line to intersect with the standard line, obtain the time point corresponding to the intersection point on the X-axis, and mark it as the compliance point. Mark the time point corresponding to the end point of the over-warning curve on the X-axis as the actual time point, obtain the duration between the actual time point and the compliance point, and get the remaining time;

[0039] If the change type of the cooling rate value is an irregular increasing change, perform a difference process on the cooling rate value corresponding to the actual time point and the cooling rate threshold to obtain the remaining cooling rate change value, and perform a ratio process on the remaining cooling rate change value and the maximum slope value in the slope data group to obtain the remaining time.

[0040] As a further technical solution of the present invention: the process of judging whether cooling control is required according to the comparison result is:

[0041] Obtain the duration between the actual time point and the end time point of the cooling cycle to get the remaining cooling time;

[0042] Compare the remaining time with the remaining cooling time;

[0043] If the remaining time is greater than or equal to the remaining cooling time, it means that cooling control is not required;

[0044] If the remaining time is less than the remaining cooling time, it means that cooling control is required.

[0045] The beneficial effects of the present invention are as follows:

[0046] 1. During the cooling cycle, obtain the cooling data in real time when cooling before the secondary mixed fermentation. Among them, the cooling data includes the cooling rate. Based on the comparison and analysis of the cooling data, an analysis signal is obtained. Based on the analysis signal, obtain the time period during which the analysis signal continuously appears and mark it as the continuous period. Based on the processing and analysis of the continuous period and the cooling rate within the continuous period, a change performance value is obtained. Based on the change performance value, judge whether it is necessary to analyze the change trend of the cooling rate. If so, generate a re-analysis signal. The present invention judges whether it is necessary to analyze the change rate trend of the cooling change by analyzing the continuous time of the cooling rate exceeding the warning line within the cooling cycle and the degree of proximity to the cooling rate threshold, which is beneficial to preventing the cooling rate from continuing to change beyond the cooling rate threshold, thereby affecting the fermentation quality, realizing the optimization and improvement of the fusion fermentation of tea components and beer, and ensuring the fermentation quality.

[0047] 2. Based on the reanalysis signal, perform a trend analysis on the cooling rate values within a continuous time period to obtain the variation law values. Based on the variation law values, determine the variation type of the cooling rate values. Among them, the variation types include regular growth variation and irregular growth variation. Based on the variation type of the cooling rate values, obtain the remaining time for the cooling rate value to reach the cooling rate threshold. Compare the remaining time with the remaining cooling time, and determine whether cooling control is required according to the comparison result. By analyzing the variation type of the cooling rate values within the continuous time period after the cooling rate value exceeds the warning value, and based on the variation type, processing and analyzing to predict the time when the cooling rate value reaches the cooling rate threshold, and comparing it with the remaining cooling time to determine whether cooling control is required, the present invention is beneficial to realizing the cooling optimization in the fermentation process and improving the fermentation quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The present invention will be further described below with reference to the accompanying drawings.

[0049] Figure 1 is a flowchart of the steps of an optimization method for the fusion fermentation of tea-containing components and beer according to Embodiment 1 of the present invention;

[0050] Figure 2 is a flowchart of the steps of an optimization method for the fusion fermentation of tea-containing components and beer according to Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] In order to make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0052] Embodiment 1

[0053] As Figure 1 shown, an optimization method for the fusion fermentation of tea-containing components and beer according to an embodiment of the present invention includes:

[0054] S1, Saccharification: Crush the barley malt and mix it with water, perform saccharification by raising the temperature in stages, and obtain wort through a single filtration;

[0055] S2, Boiling: Boil the wort, add hops and dark tea, adjust the pH value, and then perform a secondary filtration;

[0056] S3, Batch cooling and oxygenation: Respectively take 60%-70% of the wort for cooling and oxygenation, load it into the No. 1 fermentation tank, take 30%-40% of the wort for cooling and oxygenation, and load it into the No. 2 fermentation tank;

[0057] S4, Batch fermentation for the first time: Saccharomyces cerevisiae is inoculated into the No. 1 fermentation tank, Eurotium cristatum is inoculated into the No. 2 fermentation tank, and white granulated sugar and dark tea are added. Fermentation is carried out separately in the No. 1 fermentation tank and the No. 2 fermentation tank;

[0058] S5, Secondary mixed fermentation: The fermented wort in the No. 2 fermentation tank is added to the No. 1 fermentation tank by flash sterilization, cooled to 18°C - 22°C after sterilization, then cooled down, and the temperature is reduced to 5°C - 8°C for secondary fermentation to obtain dark tea beer;

[0059] S6, Storage: After the secondary mixed fermentation is completed, the dark tea beer is cooled for storage.

[0060] Example 2

[0061] As Figure 2 shown, an optimization method based on the fusion fermentation of tea-containing components and beer described in the embodiments of the present invention includes:

[0062] Step 1: During the cooling period, the cooling data during the cooling before the secondary mixed fermentation is obtained in real time. Among them, the cooling data includes the cooling rate. Based on the comparative analysis of the cooling data, an analysis signal is obtained;

[0063] It should be noted that the cooling period is set in advance by those skilled in the art according to the cooling requirements;

[0064] Specifically, the cooling rate during the cooling before the secondary mixed fermentation is obtained in real time. Based on the obtained cooling rate in real time, a cooling change curve is constructed in the X-Y two-dimensional rectangular coordinate system, where the X-axis represents time and the Y-axis represents the cooling rate;

[0065] On the Y-axis of the coordinate system where the cooling change curve is located, the cooling rate threshold is used as the first reference value, and the cooling rate warning value is used as the second reference value for marking. A straight line parallel to the X-axis is drawn through the first reference value and marked as the standard line; a straight line parallel to the X-axis is drawn through the second reference value and marked as the warning line;

[0066] It should be noted that the cooling rate warning value is less than the cooling rate threshold. The cooling rate warning value is set by those skilled in the art according to experience, and the purpose is to prevent the cooling rate from exceeding the cooling rate threshold and set the warning value;

[0067] The cooling change curve is monitored in real time;

[0068] If the cooling change curve is higher than or flush with the standard line, an abnormal signal is generated;

[0069] If the cooling change curve is lower than or flush with the warning line, a normal signal is generated;

[0070] If the cooling rate change curve is above the warning line and below the standard line, an analysis signal is generated;

[0071] It should be noted that based on the abnormal signal, it means that the current cooling rate change rate exceeds the threshold, and cooling control is required. Based on the normal signal, no operation is performed;

[0072] It should also be noted that the meaning of the analysis signal is: the current cooling rate change curve is above the warning line and below the standard line. To prevent the cooling rate change rate from exceeding the threshold, it is necessary to analyze the change of the cooling rate;

[0073] Step 2: Based on the analysis signal, obtain the time period during which the analysis signal continuously appears and mark it as the continuous period. Based on the processing and analysis of the continuous period and the cooling rate values within the continuous period, obtain the change performance value. Based on the change performance value, determine whether it is necessary to analyze the change trend of the cooling rate. If so, generate a re-analysis signal;

[0074] Specifically, during the cooling cycle, when the analysis signal appears, the continuous time period when the analysis signal appears is obtained in real time and marked as the continuous period. The ratio of the duration corresponding to the continuous period to the duration corresponding to the cooling cycle is processed to obtain the continuous duration ratio and marked as CX;

[0075] The continuous period is divided into several time analysis nodes with equal time intervals. The cooling rate values at each time analysis node are obtained and summed and averaged to obtain the cooling rate value within the continuous period. The difference between the cooling rate value within the continuous period and the cooling rate threshold is processed, and the absolute value of the difference is taken to obtain the cooling rate deviation. The ratio of the cooling rate deviation to the cooling rate threshold is processed to obtain the cooling proximity value and marked as LJ;

[0076] The obtained continuous duration ratio CX and the cooling proximity value LJ are processed. Through the formula: The change performance value BH is obtained, where s1 and s2 are both preset proportionality coefficients. Among them, s1 takes the value of 1.214 and s2 takes the value of 1.305;

[0077] It should be noted that the meaning of the change performance value BH is: by analyzing the proportion of the continuous duration of the analysis signal in the cooling cycle and the proximity of the cooling rate value to the cooling rate threshold within the time period when the analysis signal continuously appears, it is determined whether it is necessary to analyze the change trend of the cooling rate, preventing the cooling rate from continuing to change beyond the cooling rate threshold, thereby affecting the cooling quality and ultimately affecting the fermentation quality;

[0078] Compare the change performance value BH with the change performance threshold;

[0079] If the change performance value BH is greater than the change performance threshold, a re-analysis signal is generated;

[0080] If the change performance value BH is less than or equal to the change performance threshold, no operation is performed;

[0081] The technical solution of the embodiment of the present invention is as follows: during the cooling period, the cooling data when cooling before the secondary mixed fermentation is obtained in real time, where the cooling data includes the cooling rate. Based on the comparative analysis of the cooling data, an analysis signal is obtained. Based on the analysis signal, the time period during which the analysis signal continuously appears is obtained and marked as the continuous period. Based on the processing and analysis of the continuous period and the cooling rate within the continuous period, a change performance value is obtained. Based on the change performance value, it is judged whether it is necessary to analyze the change trend of the cooling rate. If so, a re-analysis signal is generated. The present invention judges whether it is necessary to analyze the trend of the cooling change rate by analyzing the continuous time during which the cooling rate exceeds the warning line and the degree of proximity to the cooling rate threshold during the cooling period, which is beneficial to preventing the cooling rate from continuing to change beyond the cooling rate threshold, thereby affecting the fermentation quality, realizing the optimization and improvement of the fusion fermentation of tea components and beer, and ensuring the fermentation quality.

[0082] Embodiment 3

[0083] As Figure 2 shown, based on Embodiment 1, an optimization method based on the fusion fermentation of tea components and beer described in the embodiment of the present invention includes

[0084] Step three: Based on the re-analysis signal, perform a trend analysis on the cooling rate values within the continuous period to obtain a change rule value, and judge the change type of the cooling rate values based on the change rule value, where the change type includes regular growth change and irregular growth change;

[0085] Specifically, in the two-dimensional rectangular coordinate system where the cooling change curve is located, obtain the partial cooling change curve corresponding to the continuous period and mark it as the super-warning curve;

[0086] Divide the super-warning curve into several sub-curves, and obtain the slope value of each sub-curve;

[0087] If the slope value of the sub-curve is greater than 0, mark the sub-curve as a growth sub-curve;

[0088] If the slope value of the sub-curve is less than or equal to 0, mark the sub-curve as a non-growth sub-curve;

[0089] Count the number of growth sub-curves and perform a ratio process with the total number of sub-curves to obtain a growth occupancy ratio and mark it as ZC;

[0090] Obtain the slope values of all growth sub-curves, integrate them into a slope data group, obtain the variance value of the slope data group, get the growth stability value, and mark it as FC;

[0091] Perform data processing on the obtained growth ratio value ZC and the growth stability value FC through the formula: Obtain the change law value ZG, where a1 and a2 are both preset proportionality coefficients, a1 takes the value of 1.5248, and a2 takes the value of 1.3124;

[0092] It should be noted that the meaning represented by the change law value is: by analyzing the number of growth sub-curves in the over-warning curve and the slope stability of the growth sub-curves, it is judged whether the cooling change trend shows regularity and growth during the continuous period;

[0093] Compare the change law value ZG with the change law threshold;

[0094] If the change law value ZG is greater than the change law threshold, it indicates that the change type of the cooling rate value is regular growth change;

[0095] If the change law value ZG is less than or equal to the change law threshold, the change type of the cooling rate value is non-regular growth change;

[0096] Step 4: Based on the change type of the cooling rate value, obtain the remaining time when the cooling rate value reaches the cooling rate threshold, compare the remaining time with the remaining cooling time, and judge whether cooling control is required according to the comparison result;

[0097] Specifically, if the change type of the cooling rate value is regular growth change, within the continuous period, mark the cooling rate value at the time analysis node in the coordinate system where the cooling change curve is located, and perform fitting on all marked cooling rate value data points by the least squares method to obtain a fitting straight line. Extend the fitting straight line and intersect it with the standard line to obtain the time point corresponding to the intersection point on the X-axis, and mark it as the compliance point. Mark the time point corresponding to the end point of the over-warning curve on the X-axis as the actual time point, obtain the duration between the actual time point and the compliance point, and get the remaining time;

[0098] If the change type of the cooling rate value is non-regular growth change, perform a difference process on the cooling rate value corresponding to the actual time point and the cooling rate threshold to obtain the remaining cooling rate change value, and perform a ratio process on the remaining cooling rate change value and the maximum slope value in the slope data group to obtain the remaining time;

[0099] Obtain the duration between the actual time point and the end time point of the cooling cycle to get the remaining cooling time;

[0100] Compare the remaining time with the remaining cooling time;

[0101] If the remaining time is greater than or equal to the remaining cooling time, it means that within the remaining cooling time, the cooling rate value will not exceed the cooling rate threshold, and no cooling control is required;

[0102] If the remaining time is less than the remaining cooling time, it means that within the remaining cooling time, the cooling rate value will exceed the cooling rate threshold, and cooling control is required. Then, a cooling instruction is sent to the cooling system components within the remaining time;

[0103] The technical solution of the embodiment of the present invention is as follows: Based on the reanalysis signal, trend analysis is performed on the cooling rate value within a continuous period to obtain a change rule value. Based on the change rule value, the change type of the cooling rate value is judged. Among them, the change type includes regular growth change and irregular growth change. Based on the change type of the cooling rate value, the remaining time when the cooling rate value reaches the cooling rate threshold is obtained, and the remaining time is compared with the remaining cooling time. According to the comparison result, it is judged whether cooling control is required. By analyzing the change type of the cooling rate value within the continuous period after the cooling rate value exceeds the warning value, and according to the change type, the time when the cooling rate value reaches the cooling rate threshold is processed and predicted, and compared with the remaining cooling time to judge whether cooling control is required, which is beneficial to realizing the cooling optimization in the fermentation process and improving the fermentation quality.

[0104] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. An optimization method based on the fusion fermentation of tea-containing ingredients and beer, characterized in that: include: Step 1: In the cooling period, the cooling data of the cooling process before the secondary mixed fermentation is obtained in real time, wherein the cooling data includes the cooling rate, and an analysis signal is obtained based on comparative analysis of the cooling data; Step 2: Based on the analysis signal, obtain the time period in which the analysis signal appears continuously, and mark it as a continuous period, and process and analyze the continuous period and the cooling rate within the continuous period to obtain a change performance value, and determine whether it is necessary to analyze the change trend of the cooling rate based on the change performance value. If so, generate a reanalysis signal; Step 3: Based on the reanalysis signal, a trend analysis is performed on the cooling rate value within the continuous period to obtain a change law value, and the change type of the cooling rate value is determined based on the change law value, wherein the change type includes regular growth change and irregular growth change; Step 4: Based on the change type of the cooling rate value, obtain the remaining time for the cooling rate value to reach the cooling rate threshold, compare the remaining time with the remaining cooling time, and determine whether cooling control is needed based on the comparison result.

2. The optimization method based on the fusion fermentation of tea-containing ingredients and beer according to claim 1, characterized in that: The analysis signal is generated in the following manner: Obtain the cooling rate when cooling before secondary mixed fermentation, and construct a cooling change curve; On the Y axis of the coordinate system where the temperature drop change curve is located, the temperature drop rate threshold is used as the first reference value, and the temperature drop rate warning value is used as the second reference value for marking. A straight line parallel to the X axis is made through the first reference value and marked as the standard line. Draw a straight line parallel to the X-axis through the second reference value and mark it as the warning line; If the temperature drop curve is higher than the warning line and lower than the standard line, an analysis signal is generated.

3. The optimization method based on the fusion fermentation of tea-containing ingredients and beer according to claim 1, characterized in that: The method for obtaining the change performance value is as follows: During the cooling period, when the analysis signal appears, the duration of the analysis signal is obtained in real time and marked as a duration period. The duration period is processed and analyzed to obtain the duration ratio CX. The cooling rate value in the duration period is processed and analyzed to obtain the cooling proximity value LJ. By formula: The change performance value BH is obtained, wherein s1 and s2 are both preset proportional coefficients, wherein s1 is 1.214 and s2 is 1.

305.

4. The optimization method based on the fusion fermentation of tea-containing ingredients and beer according to claim 3, characterized in that: The method for obtaining the duration ratio CX is as follows: The duration corresponding to the continuous period is processed by ratio with the duration corresponding to the cooling period to obtain the duration ratio, which is marked as CX. The method for obtaining the cooling proximity value LJ is as follows: The continuous period is divided into several time analysis nodes with equal time intervals. The cooling rate value at each time analysis node is obtained, and the sum and average are taken to obtain the cooling rate value within the continuous period. The cooling rate value within the continuous period is processed by difference with the cooling rate threshold, and the absolute value of the difference is taken to obtain the cooling rate deviation. The cooling rate deviation is processed by ratio with the cooling rate threshold to obtain the cooling proximity value, which is marked as LJ.

5. The optimization method based on the fusion fermentation of tea-containing ingredients and beer according to claim 1, characterized in that: The reanalysis signal is generated in the following manner: If the change performance value BH is greater than the change performance threshold, a reanalysis signal is generated.

6. The optimization method based on the fusion fermentation of tea-containing ingredients and beer according to claim 1, characterized in that: The method for obtaining the change rule value is as follows: In the two-dimensional rectangular coordinate system where the temperature drop change curve is located, a portion of the temperature drop change curve corresponding to the duration period is obtained and marked as an excessive warning curve; Divide the super warning curve into several sub-curves, and obtain the slope value of each sub-curve; If the slope value of the sub-curve is greater than 0, the sub-curve is marked as a growth sub-curve; Based on the processing and analysis of the growth sub-curve, the growth proportion value ZC and the growth stability value FC are obtained; By formula: The change law value ZG is obtained, wherein a1 and a2 are both preset proportional coefficients, a1 is 1.5248, and a2 is 1.3124.

7. The optimization method based on the fusion fermentation of tea-containing ingredients and beer according to claim 6, characterized in that: The growth proportion value ZC and the growth stability value FC are obtained as follows: Count the number of growth sub-curves and compare them with the total number of sub-curves to get the growth ratio value, which is marked as ZC; Obtain the slope values ​​of all growth sub-curves and integrate them into a slope data group, obtain the variance value of the slope data group, obtain the growth stability value, and mark it as FC.

8. The optimization method based on the fusion fermentation of tea-containing ingredients and beer according to claim 1, characterized in that: The process of judging the change type of the cooling rate value based on the change law value is as follows: Compare the change rule value ZG with the change rule threshold; If the change law value ZG is greater than the change law threshold, it means that the change type of the cooling rate value is a regular growth change; If the change law value ZG is less than or equal to the change law threshold, the change type of the cooling rate value is set to irregular growth change.

9. The optimization method based on the fusion fermentation of tea-containing ingredients and beer according to claim 1, characterized in that: The remaining time is obtained as follows: If the change type of the cooling rate value is a regular growth change, then during the continuous period, the cooling rate value at the time analysis node is marked in the coordinate system where the cooling change curve is located, and all marked cooling rate value data points are fitted by the least squares method to obtain a fitting straight line, extend the fitting straight line and intersect it with the standard line, obtain the time point corresponding to the intersection on the X-axis, and mark it as the standard point, mark the time point corresponding to the end point of the super warning curve on the X-axis as the actual time point, obtain the duration between the actual time point and the standard point, and obtain the remaining time; If the change type of the cooling rate value is irregular growth change, the cooling rate value corresponding to the actual time point is subtracted from the cooling rate threshold to obtain the remaining cooling rate change value, and the remaining cooling rate change value is ratioed with the maximum slope value in the slope data group to obtain the remaining time.

10. The optimization method based on the fusion fermentation of tea-containing ingredients and beer according to claim 9, characterized in that: The process of judging whether cooling control is required according to the comparison result is as follows: Get the duration between the actual time point and the end time point of the cooling cycle to obtain the remaining cooling time; Compare the remaining time to the remaining cool-down time; If the remaining time is greater than or equal to the remaining cooling time, it means that cooling control is not required; If the remaining time is less than the remaining cooling time, it means that cooling control is required.

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