Extraction and detection system for stevioside production

Abstract

The invention relates to the technical field of stevioside extraction and detection, in particular to an extraction and detection system for stevioside production, comprising: a defect analysis unit used for determining the detection state of stevioside to be analyzed according to a quality characterization value and a sweet release comparison degree, and determining a defect analysis mode according to the detection state; the quality optimization unit is used for determining a first optimization mode in response to a setting condition; the monitoring optimization unit is used for determining an adjustment mode according to the cavitation abnormality and the basis change influence coefficient; the ultrasonic adjusting unit is used for determining an ultrasonic adjusting mode according to the cavitation sensitive threshold value; the instability adjusting unit is used for determining a monitoring point setting mode according to the extracted abnormal coefficient and the production comparison deviation and adjusting the ultrasonic temperature of the instability monitoring point according to an abnormal deviation threshold value; the proportion detection unit is used for determining a second optimization mode according to a glycoside isomerization proportion coefficient in proportion detection analysis; according to the method, the stevioside extraction quality and efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of stevioside extraction and detection, in particular to an extraction and detection system for stevioside production. Background Art

[0002] As the market for natural sweeteners continues to expand, stevia, as a highly effective, low-calorie sweetener, is attracting increasing attention. The extraction process for stevia is complex, involving multiple physical and chemical steps, including solvent extraction, separation, and purification. The production of stevia suffers from shortcomings such as low production efficiency, significant loss of stevia components, and low yield and quality. Therefore, optimizing the stevia extraction process based on stevia extraction test results to improve the quality and efficiency of stevia extraction is a pressing technical challenge for those skilled in the art.

[0003] Chinese patent publication number CN119688924A discloses a real-time detection system for stevia extraction process, comprising: an extraction module for extracting stevia from an extract; a detection module connected to the extraction module, comprising a concentration sensor arranged at the output end of the extraction tank for detecting the concentration of stevia in the extract, a temperature sensor connected to the extraction tank for detecting the temperature of the extract in the extraction tank, and a pH sensor arranged inside the extraction tank for detecting the pH value of the extract; a communication module connected to the detection module for verifying the collected detection signal and transmitting it to a display screen; a control module connected to the extraction module, the detection module, and the communication module respectively for determining the sampling window size of the detection signal according to the loss rate of the detection signal. It can be seen that the above technical solution has the following problems: it is impossible to perform targeted defect analysis and optimization adjustments based on the detection status of stevia, and it is difficult to effectively improve the quality and efficiency of stevia extraction. Summary of the Invention

[0004] To this end, the present invention provides an extraction and detection system for stevia production, which is used to overcome the problem in the prior art that it is impossible to perform targeted defect analysis and optimization adjustments according to the detection status of stevia, and it is difficult to effectively improve the quality and efficiency of stevia extraction.

[0005] To achieve the above objectives, the present invention provides an extraction and detection system for stevia production, comprising:

[0006] A defect analysis unit is used to determine the detection status of the stevia to be analyzed based on the quality characterization value and the sweetness release comparison, and to determine whether the defect analysis method is quality optimization analysis or ratio detection analysis based on the detection status;

[0007] a quality optimization unit connected to the defect analysis unit and configured to, in the quality optimization analysis, respond to the set conditions to determine a first optimization method, which is to determine an adjustment method based on the cavitation abnormality degree and the base change influence coefficient, or to adjust the ultrasonic extraction time according to the maturity influence threshold;

[0008] A monitoring and optimization unit, connected to the quality optimization unit, for determining whether the adjustment mode is ultrasonic adjustment or instability monitoring point adjustment according to the cavitation anomaly degree and the base change influence coefficient;

[0009] An ultrasonic adjustment unit, connected to the monitoring and optimization unit, is used to determine, during ultrasonic adjustment, whether to adjust the ultrasonic extraction time or the ultrasonic power according to the cavitation sensitivity threshold;

[0010] an instability adjustment unit connected to the monitoring optimization unit, for determining, during instability monitoring point adjustment, a monitoring point setting method based on the extracted abnormality coefficient and the production comparison deviation, and adjusting the ultrasonic temperature of the instability monitoring point based on the abnormality deviation threshold;

[0011] The ratio detection unit is connected to the defect analysis unit and is used to determine, in the ratio detection analysis, according to the glycoside isomerization ratio coefficient, that the second optimization method is to reduce the engineering bacteria inoculation amount or the drying temperature.

[0012] Furthermore, when the detection state is that the quality characterization value is greater than or equal to the preset quality characterization value and the sweetness release contrast is less than the preset sweetness release contrast, the defect analysis unit determines that the defect analysis method is quality optimization analysis.

[0013] Furthermore, when the quality characterization value of the detection state is less than a preset quality characterization value, the defect analysis unit determines that the defect analysis method is proportional detection analysis.

[0014] Furthermore, if the setting condition of the quality optimization unit response is that the yield reference value is greater than or equal to the preset yield reference value or the raw material comparison coefficient is less than the preset raw material comparison coefficient, it is determined that the first optimization method is to determine the adjustment method according to the cavitation abnormality degree and the base change influence coefficient;

[0015] If the cavitation abnormality degree is greater than or equal to the preset cavitation abnormality degree and the base change influence coefficient is greater than or equal to the preset base change influence coefficient, then the adjustment method is determined to be ultrasonic adjustment;

[0016] If the cavitation abnormality degree is less than the preset cavitation abnormality degree or the base change influence coefficient is less than the preset base change influence coefficient, it is determined that the adjustment method is instability monitoring point adjustment.

[0017] Furthermore, if the setting condition of the quality optimization unit response is that the yield reference value is less than the preset yield reference value and the raw material comparison coefficient is greater than or equal to the preset raw material comparison coefficient, it is determined that the first optimization method is to increase the ultrasonic extraction time according to the maturity impact threshold;

[0018] The increase in the ultrasonic extraction time is positively correlated with the maturity impact threshold.

[0019] Furthermore, the ratio detection unit determines a second optimization method according to the glycoside isomerization ratio coefficient, including:

[0020] If the glycoside isomerization ratio coefficient is greater than or equal to the preset glycoside isomerization ratio coefficient, it is determined that the second optimization method is to increase the inoculum amount of the engineered bacteria;

[0021] If the glycoside isomerization ratio coefficient is less than the preset glycoside isomerization ratio coefficient, it is determined that the second optimization method is to reduce the drying temperature.

[0022] Furthermore, the ultrasonic adjustment unit determines the ultrasonic adjustment mode according to the cavitation sensitivity threshold, including:

[0023] If the cavitation sensitivity threshold is greater than or equal to the preset cavitation sensitivity threshold, the ultrasonic adjustment method is to reduce the ultrasonic extraction time;

[0024] If the cavitation sensitivity threshold is less than the preset cavitation sensitivity threshold, the ultrasonic adjustment method is to reduce the ultrasonic power.

[0025] Furthermore, the instability adjustment unit determines that the monitoring point setting mode is interval setting when the extraction abnormality coefficient is greater than or equal to the preset extraction abnormality coefficient or the production comparison deviation is greater than or equal to the preset production comparison deviation.

[0026] Furthermore, the instability adjustment unit determines that the monitoring point setting mode is an associated setting when the extraction abnormality coefficient is less than a preset extraction abnormality coefficient and the production comparison deviation is less than a preset production comparison deviation.

[0027] Furthermore, the instability adjustment unit adjusts the ultrasonic temperature of the instability monitoring point according to the abnormal deviation threshold value;

[0028] The decrease value of the ultrasonic temperature corresponding to a single instability monitoring point is positively correlated with the abnormal deviation threshold corresponding to the instability monitoring point;

[0029] The instability monitoring point is a monitoring point where the abnormal reference value is greater than a preset abnormal reference value.

[0030] Compared with the prior art, the beneficial effect of the present invention lies in that, in the technical solution of the present invention, the detection status of the stevioside to be analyzed is determined according to the quality characterization value and the sweetness release comparison, and the production effect of the extracted stevioside is effectively reflected by the quality characterization value and the sweetness release comparison, and then different defect analysis methods are adaptively selected according to the detection status, so that the selection of the defect analysis method is more in line with the actual application scenario. Through the ratio detection analysis, the ratio of different steviol glycoside components can be optimized according to the sweetness release characteristics of steviol glycosides to improve the sweetness release effect, thereby improving the sweetness release and improving the sweetness quality. Through the quality optimization analysis, impurities in the stevioside extract can be removed, and the loss of stevioside in the extraction process can be reduced, thereby improving the extraction rate and product yield.

[0031] Furthermore, in the quality optimization analysis, the quality optimization unit of the present invention effectively reflects the yield status of stevia extraction and the influence of the raw materials of stevia being produced by setting conditions, and then adaptively selects different first optimization methods according to the set conditions, so that the selection of the first optimization method is more in line with the actual application scenario, can improve the extraction quality, and can ensure that the extraction process ends at the optimal time point, thereby improving the extraction rate and purity of stevia.

[0032] Furthermore, in the present invention, the proportion of steviol glycoside components is effectively reflected by the glycoside isomerization ratio coefficient, and different second optimization methods are adaptively selected according to the glycoside isomerization ratio coefficient, so that the selected second optimization method can be adjusted by reducing the inoculation amount of the engineered bacteria when the glycoside isomerization ratio coefficient is large, thereby optimizing the composition of steviol glycosides to improve the sweetness quality. By lowering the drying temperature, the decrease in the sweet amino acid content in steviol glycosides can be suppressed, thereby improving the sweetness quality.

[0033] Furthermore, the present invention effectively reflects the intensity and distribution of the ultrasonic cavitation effect during the stevioside extraction process through the cavitation anomaly degree and the base change influence coefficient, and then adaptively selects different adjustment methods according to the judgment conditions, thereby avoiding excessive cavitation or excessive power during the ultrasonic treatment process, thereby reducing the potential damage to the stevioside components, improving the extraction purity of stevioside, reducing the dissolution of impurities, and maintaining its sweetness and quality.

[0034] Furthermore, the present invention effectively reflects abnormal conditions in the extraction process by extracting abnormal coefficients and production comparison deviations, and then adaptively selects different monitoring point setting methods according to the extraction abnormal coefficients and production comparison deviations, so that the selection of the monitoring point setting method can accurately identify unstable factors in the extraction process, and then effectively identify unstable monitoring points, which can reduce the generation of impurities and improve the purity of stevia. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1This is a unit connection diagram of the extraction and detection system for stevia production of the present invention;

[0036] Figure 2 This is a flow chart of the present invention for determining a first optimization method according to setting conditions;

[0037] Figure 3 This is a flow chart of the present invention for determining an adjustment method based on the cavitation anomaly degree and the base change influence coefficient;

[0038] Figure 4 The present invention is a flow chart for determining the second optimization method according to the glycoside isomerization ratio coefficient. DETAILED DESCRIPTION

[0039] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0040] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0041] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0042] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0043] See also Figures 1 to 4 As shown, the present invention provides an extraction and detection system for stevia production, comprising:

[0044] A defect analysis unit is used to determine the detection status of the stevia to be analyzed based on the quality characterization value and the sweetness release comparison, and to determine whether the defect analysis method is quality optimization analysis or ratio detection analysis based on the detection status;

[0045] a quality optimization unit connected to the defect analysis unit and configured to, in the quality optimization analysis, respond to the set conditions to determine a first optimization method, which is to determine an adjustment method based on the cavitation abnormality degree and the base change influence coefficient, or to adjust the ultrasonic extraction time according to the maturity influence threshold;

[0046] A monitoring and optimization unit, connected to the quality optimization unit, for determining whether the adjustment mode is ultrasonic adjustment or instability monitoring point adjustment according to the cavitation anomaly degree and the base change influence coefficient;

[0047] An ultrasonic adjustment unit, connected to the monitoring and optimization unit, is used to determine, during ultrasonic adjustment, whether to adjust the ultrasonic extraction time or the ultrasonic power according to the cavitation sensitivity threshold;

[0048] an instability adjustment unit connected to the monitoring optimization unit, for determining, during instability monitoring point adjustment, a monitoring point setting method based on the extracted abnormality coefficient and the production comparison deviation, and adjusting the ultrasonic temperature of the instability monitoring point based on the abnormality deviation threshold;

[0049] The ratio detection unit is connected to the defect analysis unit and is used to determine, in the ratio detection analysis, according to the glycoside isomerization ratio coefficient, that the second optimization method is to reduce the engineering bacteria inoculation amount or the drying temperature.

[0050] The application scenario of the present invention is the optimization of stevioside production and extraction. In the present invention, several historical records are correspondingly provided, and any historical record records the quality characterization value, sweetness release comparison degree, yield reference value, raw material comparison coefficient and glycoside isomerization ratio coefficient, etc. in the historical process of at least one stevioside production and extraction optimization. And each historical record corresponds to a qualified mark, which records whether the process of stevioside production and extraction optimization meets the user's needs. The qualified mark can be recorded manually. It is understandable that the user can determine whether the process of stevioside production and extraction optimization meets the needs according to the self-set indicators. The self-set indicators can be but not limited to purity, which will not be elaborated here. Among them, the purity is detected by high performance liquid chromatography, which is easy for those skilled in the art to understand and will not be elaborated on in detail.

[0051] The initial production and extraction process of stevia in the present invention comprises: grinding dry stevia leaves and passing them through an 80-mesh sieve to obtain stevia leaf powder; pre-soaking the stevia leaf powder in an 80% methanol solution for 2 hours; setting the ultrasonic power to 200W, the extraction temperature to 80°C, and the ultrasonic extraction time to 30 minutes; performing three consecutive extractions, each time for 30 minutes; combining the extracts to obtain a total extract; adding glycosyltransferase engineered bacteria to the total extract; inoculating the engineered bacteria at a rate of 5% (v / v); performing reduced-pressure distillation on the total extract after 2 hours to remove the solvent; and drying the concentrated extract at 60°C to a moisture content of 5%.

[0052] Specifically, when the detection state is that the quality characterization value is greater than or equal to the preset quality characterization value and the sweetness release contrast is less than the preset sweetness release contrast, the defect analysis unit determines that the defect analysis method is quality optimization analysis.

[0053] Among them, the detection state includes a first detection state, a second detection state and a third detection state. The first detection state is that the quality characterization value is greater than or equal to the preset quality characterization value and the sweetness release contrast is less than the preset sweetness release contrast. The second detection state is that the quality characterization value is less than the preset quality characterization value. The third detection state is that the quality characterization value is greater than or equal to the preset quality characterization value and the sweetness release contrast is greater than or equal to the preset sweetness release contrast. It should be noted that in the third detection state, stevia is produced according to the initial production and extraction process.

[0054] The stevia produced by the batch that has been extracted before the current moment and whose production time is closest to the present moment is recorded as the stevia to be analyzed; the stevia produced by the first batch planned for extraction after the current moment and not yet entering the extraction process is recorded as the stevia to be extracted; the stevia produced by the batch corresponding to each historical record is recorded as the produced stevia;

[0055] Quality characterization value = purity of stevia to be analyzed + yield reference value, yield reference value = quality of stevia to be analyzed / quality of dry stevia leaves used to produce stevia to be analyzed;

[0056] 1 g of stevia to be analyzed was weighed and dissolved in 100 ml of pure water to obtain a stevia solution to be analyzed. The potential value of the stevia solution to be analyzed was collected every 1 second using a lipid membrane sensor for 1 minute. A sweetness release curve was plotted with time as the abscissa and the potential value of the stevia solution to be analyzed as the ordinate. The first point in the sweetness release curve where the potential value of the stevia solution to be analyzed no longer changed was recorded as the initial stable point.

[0057] Sweetness release comparison degree = average value of sweetness release reference values ​​of stevia produced in various historical records that can meet user needs - sweetness release reference value of stevia to be analyzed;

[0058] Sweetness release reference value corresponding to a single batch of stevia = (potential value corresponding to the initial stable point in the sweetness release curve corresponding to the batch of stevia - potential value corresponding to the coordinate origin in the sweetness release curve corresponding to the batch of stevia) / time corresponding to the initial stable point in the sweetness release curve corresponding to the batch of stevia;

[0059] The values ​​of the preset quality characterization value and the preset sweetness release comparison degree can be determined by the user according to the actual application scenario. The greater the user's demand for the accuracy of improving the production quality of stevia, the larger the values ​​of the preset quality characterization value and the preset sweetness release comparison degree are. A preset quality characterization value and a preset sweetness release comparison degree are provided, and the historical records of the user's quality optimization analysis are detected. The average value of the quality characterization values ​​corresponding to the historical records that can meet the user's needs is recorded as the preset quality characterization value, and the average value of the sweetness release comparison degree corresponding to the historical records that can meet the user's needs is recorded as the preset sweetness release comparison degree.

[0060] Specifically, when the detection state is that the quality characterization value is less than the preset quality characterization value, the defect analysis unit determines that the defect analysis method is proportional detection and analysis.

[0061] Specifically, the setting condition of the response of the quality optimization unit is that the yield reference value is greater than or equal to the preset yield reference value or the raw material comparison coefficient is less than the preset raw material comparison coefficient, then it is determined that the first optimization method is to determine the adjustment method according to the cavitation abnormality degree and the base change influence coefficient;

[0062] If the cavitation abnormality degree is greater than or equal to the preset cavitation abnormality degree and the base change influence coefficient is greater than or equal to the preset base change influence coefficient, then the adjustment method is determined to be ultrasonic adjustment;

[0063] If the cavitation abnormality degree is less than the preset cavitation abnormality degree or the base change influence coefficient is less than the preset base change influence coefficient, it is determined that the adjustment method is instability monitoring point adjustment.

[0064] The setting conditions include a first setting condition and a second setting condition. The first setting condition is that the yield reference value is greater than or equal to the preset yield reference value or the raw material comparison coefficient is less than the preset raw material comparison coefficient. The second setting condition is that the yield reference value is less than the preset yield reference value and the raw material comparison coefficient is greater than or equal to the preset raw material comparison coefficient.

[0065] Raw material comparison coefficient = average chlorophyll content corresponding to stevia produced in historical records that can meet user needs / chlorophyll content corresponding to stevia to be extracted + chlorophyll content corresponding to stevia to be analyzed / chlorophyll content corresponding to stevia to be extracted. The chlorophyll content corresponding to a single batch of stevia is determined by weighing 100g of stevia leaves corresponding to that batch and measuring the chlorophyll content in the weighed 100g of stevia leaves by acetone extraction colorimetry.

[0066] The values ​​of the preset yield reference value and the preset raw material comparison coefficient can be determined by the user according to the actual application scenario. The smaller the value of the preset yield reference value and the larger the value of the preset raw material comparison coefficient, the greater the user's demand for determining the processing method according to the outlier coefficient. A preset yield reference value and a preset raw material comparison coefficient are provided, and the historical records of the user determining the adjustment method according to the cavitation abnormality and the base change influence coefficient are detected. The average value of the yield reference values ​​corresponding to the historical records that can meet the user's needs is recorded as the preset yield reference value, and the average value of the raw material comparison coefficients corresponding to the historical records that can meet the user's needs is recorded as the preset raw material comparison coefficient;

[0067] In the present invention, the initial moment of ultrasonic extraction is taken as the starting point, and an interval point is set every 1 minute until the ultrasonic extraction is completed. The starting point and each interval point are recorded as the time point. At each time point, high-speed photography technology is used to vertically shoot at a distance of 20 cm from the liquid surface to obtain an ultrasonic extraction image.

[0068] Cavitation abnormality degree = average value of reference values ​​of bubble quantity corresponding to each time point of stevia to be analyzed × average value of reference values ​​of bubble area corresponding to each time point of stevia to be analyzed;

[0069] The reference value of the number of bubbles corresponding to a single time point is the number of bubbles in the ultrasonic extraction image corresponding to the time point, and the reference value of the bubble area corresponding to a single time point is the average value of the area corresponding to each bubble in the ultrasonic extraction image corresponding to the time point;

[0070] The base variation influence coefficient is the average value of the bubble distribution coefficients corresponding to each time point of the stevia to be analyzed. The bubble distribution coefficient corresponding to a single time point is the average value of the distance reference values ​​corresponding to each bubble in the ultrasonic extraction image corresponding to that time point. The distance reference value corresponding to a single bubble is the average value of the shortest distances from the bubble to the other bubbles in the ultrasonic extraction image corresponding to that time point.

[0071] The values ​​of the preset cavitation abnormality degree and the preset base change influence coefficient can be determined by the user according to the actual application scenario. The larger the values ​​of the preset cavitation abnormality degree and the preset base change influence coefficient, the greater the user's demand for reducing the ultrasonic extraction time. A preset cavitation abnormality degree and the preset base change influence coefficient are provided, and the historical records of the user reducing the ultrasonic extraction time are detected. The average value of the cavitation abnormality degree corresponding to the historical records that can meet the user's needs is recorded as the preset cavitation abnormality degree, and the average value of the base change influence coefficient corresponding to the historical records that can meet the user's needs is recorded as the preset base change influence coefficient.

[0072] Specifically, the setting condition of the response of the quality optimization unit is that the yield reference value is less than the preset yield reference value and the raw material comparison coefficient is greater than or equal to the preset raw material comparison coefficient, then it is determined that the first optimization method is to increase the ultrasonic extraction time according to the maturity impact threshold;

[0073] The increase in the ultrasonic extraction time is positively correlated with the maturity impact threshold.

[0074] Wherein, the maturity impact threshold = |chlorophyll content corresponding to the stevia to be extracted - chlorophyll content corresponding to the stevia to be analyzed| / average chlorophyll content corresponding to the stevia produced in each historical record that can meet user needs;

[0075] The ultrasonic extraction duration is the continuous action time of the ultrasonic power.

[0076] Specifically, the ratio detection unit determines the second optimization method according to the glycoside isomerization ratio coefficient, including:

[0077] If the glycoside isomerization ratio coefficient is greater than or equal to the preset glycoside isomerization ratio coefficient, it is determined that the second optimization method is to increase the inoculum amount of the engineered bacteria;

[0078] If the glycoside isomerization ratio coefficient is less than the preset glycoside isomerization ratio coefficient, it is determined that the second optimization method is to reduce the drying temperature.

[0079] Wherein, glycoside isomerization ratio coefficient = Reb A concentration / Reb D concentration, Reb A concentration and Reb D concentration are the concentrations of Reb A and Reb D in the stevia solution to be analyzed, respectively, and are measured by high performance liquid chromatography. This is well understood by those skilled in the art and will not be described in detail here;

[0080] The value of the preset glycoside isomerization ratio coefficient can be determined by the user according to the actual application scenario. The larger the value of the preset glycoside isomerization ratio coefficient, the greater the user's demand for reducing the drying temperature. A preset value of the glycoside isomerization ratio coefficient is provided, and the historical records of the user's reduction adjustment for the drying temperature are detected. The average value of the glycoside isomerization ratio coefficient corresponding to the historical records that can meet the user's needs is recorded as the preset glycoside isomerization ratio coefficient;

[0081] When the inoculum amount of the engineered bacteria was increased, the increase in the inoculum amount of the engineered bacteria was positively correlated with the sweetness release ratio;

[0082] When the drying temperature is adjusted downward, the reduction value of the drying temperature is positively correlated with the sweetness release ratio;

[0083] The drying temperature is the temperature at which the concentrated extract is dried.

[0084] Specifically, the ultrasonic adjustment unit determines the ultrasonic adjustment mode according to the cavitation sensitivity threshold, including:

[0085] If the cavitation sensitivity threshold is greater than or equal to the preset cavitation sensitivity threshold, the ultrasonic adjustment method is to reduce the ultrasonic extraction time;

[0086] If the cavitation sensitivity threshold is less than the preset cavitation sensitivity threshold, the ultrasonic adjustment method is to reduce the ultrasonic power.

[0087] Wherein, cavitation sensitivity threshold = (reference value of bubble number corresponding to the latest time point - reference value of bubble number corresponding to the earliest time point) × standard deviation of bubble gradient values ​​corresponding to each interval point; bubble gradient value corresponding to a single interval point = reference value of bubble number corresponding to the interval point - reference value of bubble number corresponding to the time point adjacent to the interval point and taken earlier than the interval point;

[0088] The value of the preset cavitation sensitivity threshold can be determined by the user according to the actual application scenario. The smaller the value of the preset cavitation sensitivity threshold, the greater the user's need to reduce the ultrasonic extraction time. A value of the preset cavitation sensitivity threshold is provided, and the historical records of the user reducing the ultrasonic extraction time are detected. The average value of the cavitation sensitivity threshold corresponding to the historical records that can meet the user's needs is recorded as the preset cavitation sensitivity threshold;

[0089] When the ultrasonic extraction time is reduced, the reduction value of the ultrasonic extraction time is negatively correlated with the quality characterization value;

[0090] When the ultrasonic power is reduced, the reduction value of the ultrasonic power is negatively correlated with the quality characterization value;

[0091] The ultrasonic power refers to the power during ultrasonic extraction of the stevia to be extracted.

[0092] Specifically, the instability adjustment unit determines that the monitoring point setting mode is interval setting when the extraction abnormality coefficient is greater than or equal to the preset extraction abnormality coefficient or the production comparison deviation is greater than or equal to the preset production comparison deviation.

[0093] Among them, extraction anomaly coefficient = cavitation anomaly degree + basis change influence coefficient;

[0094] Production comparison deviation = |reference value of the number of bubbles at the starting point corresponding to the stevia to be extracted - reference value of the number of bubbles at the starting point corresponding to the stevia to be analyzed|;

[0095] The values ​​of the preset extraction anomaly coefficient and the preset production comparison deviation can be determined by the user according to the actual application scenario. The smaller the values ​​of the preset extraction anomaly coefficient and the preset production comparison deviation are, the greater the user's need for interval setting is. A preset extraction anomaly coefficient and a preset production comparison deviation are provided, and the historical records of the user's interval setting are detected. The average value of the extraction anomaly coefficient corresponding to the historical records that can meet the user's needs is recorded as the preset extraction anomaly coefficient, and the average value of the production comparison deviation corresponding to the historical records that can meet the user's needs is recorded as the preset production comparison deviation;

[0096] In the interval setting, the first interval point corresponding to the stevia to be extracted is taken as the first monitoring point. Starting from the first monitoring point, interval selection is performed for each interval point in order from early to late until the extraction is completed. The selected interval is the number of interval points between the two adjacent monitoring points selected. The selected interval is negatively correlated with the extraction anomaly coefficient.

[0097] Specifically, when the extracted abnormality coefficient is less than the preset extracted abnormality coefficient and the production comparison deviation is less than the preset production comparison deviation, the instability adjustment unit determines that the monitoring point setting mode is the associated setting.

[0098] Among them, in the association setting, the interval points corresponding to the stevia to be analyzed, whose abnormal reference values ​​are greater than the preset abnormal reference values, are recorded as points to be selected, and the association analysis is performed on each point to be selected in order from early to late. When the association analysis is performed on a single point to be selected, the point to be selected is recorded as the target point to be selected, and the other points to be selected other than the target point to be selected are recorded as reference points to be selected. The set of reference points to be selected whose abnormal similarity with the target point to be selected is greater than the preset abnormal similarity and the target point to be selected is recorded as an association combination, and the association analysis is continued for each point to be selected until all points to be selected are recorded in the association combination, then the association analysis is stopped; the earliest point to be selected in each association combination is used as the selection point, and each association combination corresponds to one selection point;

[0099] The monitoring points corresponding to the stevia to be extracted are the time points with the same order as the selected points corresponding to the stevia to be analyzed;

[0100] For any two points to be selected, the anomaly similarity between the two points to be selected = 1-(the absolute value of the difference between the anomaly reference values ​​corresponding to the two points to be selected / the larger value of the anomaly reference values ​​corresponding to the two points to be selected);

[0101] The value of the preset abnormal similarity can be determined by the user according to the actual application scenario. The greater the user's demand for improving the accuracy of the extraction quality, the larger the value of the preset abnormal similarity. A value of the preset abnormal similarity is provided, and the preset abnormal similarity is 80%.

[0102] Specifically, the instability adjustment unit adjusts the ultrasonic temperature of the instability monitoring point according to the abnormal deviation threshold;

[0103] The decrease value of the ultrasonic temperature corresponding to a single instability monitoring point is positively correlated with the abnormal deviation threshold corresponding to the instability monitoring point;

[0104] The instability monitoring point is a monitoring point where the abnormal reference value is greater than a preset abnormal reference value.

[0105] The abnormal reference value corresponding to a single monitoring point = the reference value of the number of bubbles of stevia to be extracted at the monitoring point + the reference value of the bubble area of ​​stevia to be extracted at the monitoring point;

[0106] The value of the preset abnormal reference value can be determined by the user according to the actual application scenario. The greater the user's demand for improving the precision of stevia purity, the smaller the value of the preset abnormal reference value. A preset abnormal reference value is provided, and the minimum value of the abnormal reference value corresponding to each instability monitoring point in the historical record that can meet the user's needs is recorded as the preset abnormal reference value;

[0107] The abnormal deviation threshold corresponding to a single monitoring point = (the reference value of the number of bubbles of the stevia to be extracted at the monitoring point - the reference value of the number of bubbles of the stevia to be analyzed at the time point corresponding to the monitoring point) / the average value of the reference value of the number of bubbles of the stevia production at the time point corresponding to the monitoring point in the historical records of the production of stevia that can meet user needs and are generated according to the initial production extraction process.

[0108] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0109] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. An extraction and detection system for stevia production, characterized in that: include: A defect analysis unit is used to determine the detection status of the stevia to be analyzed based on the quality characterization value and the sweetness release comparison, and to determine whether the defect analysis method is quality optimization analysis or ratio detection analysis based on the detection status; a quality optimization unit connected to the defect analysis unit and configured to, in the quality optimization analysis, respond to the set conditions to determine a first optimization method, which is to determine an adjustment method based on the cavitation abnormality degree and the base change influence coefficient, or to adjust the ultrasonic extraction time according to the maturity influence threshold; A monitoring and optimization unit, connected to the quality optimization unit, for determining whether the adjustment mode is ultrasonic adjustment or instability monitoring point adjustment according to the cavitation anomaly degree and the base change influence coefficient; An ultrasonic adjustment unit, connected to the monitoring and optimization unit, is used to determine, during ultrasonic adjustment, whether to adjust the ultrasonic extraction time or the ultrasonic power according to the cavitation sensitivity threshold; an instability adjustment unit connected to the monitoring optimization unit, for determining, during instability monitoring point adjustment, a monitoring point setting method based on the extracted abnormality coefficient and the production comparison deviation, and adjusting the ultrasonic temperature of the instability monitoring point based on the abnormality deviation threshold; The ratio detection unit is connected to the defect analysis unit and is used to determine, in the ratio detection analysis, according to the glycoside isomerization ratio coefficient, that the second optimization method is to reduce the engineering bacteria inoculation amount or the drying temperature.

2. The extraction and detection system for stevia production according to claim 1, characterized in that: When the defect analysis unit detects that the quality characterization value is greater than or equal to the preset quality characterization value and the sweetness release contrast is less than the preset sweetness release contrast, the defect analysis method is determined to be quality optimization analysis.

3. The extraction and detection system for stevia production according to claim 2, characterized in that: The defect analysis unit determines that the defect analysis method is proportional detection and analysis when the detection state is that the quality characterization value is less than the preset quality characterization value.

4. The extraction and detection system for stevia production according to claim 2, characterized in that: The setting condition of the response of the quality optimization unit is that the yield reference value is greater than or equal to the preset yield reference value or the raw material comparison coefficient is less than the preset raw material comparison coefficient, then it is determined that the first optimization method is to determine the adjustment method according to the cavitation abnormality degree and the base change influence coefficient; If the cavitation abnormality degree is greater than or equal to the preset cavitation abnormality degree and the base change influence coefficient is greater than or equal to the preset base change influence coefficient, then the adjustment method is determined to be ultrasonic adjustment; If the cavitation abnormality degree is less than the preset cavitation abnormality degree or the base change influence coefficient is less than the preset base change influence coefficient, it is determined that the adjustment method is instability monitoring point adjustment.

5. The extraction and detection system for stevia production according to claim 4, characterized in that: The setting condition of the response of the quality optimization unit is that the yield reference value is less than the preset yield reference value and the raw material comparison coefficient is greater than or equal to the preset raw material comparison coefficient, then it is determined that the first optimization method is to increase the ultrasonic extraction time according to the maturity impact threshold; The increase in the ultrasonic extraction time is positively correlated with the maturity impact threshold.

6. The extraction and detection system for stevia production according to claim 3, characterized in that: The ratio detection unit determines a second optimization method according to the glycoside isomerization ratio coefficient, including: If the glycoside isomerization ratio coefficient is greater than or equal to the preset glycoside isomerization ratio coefficient, it is determined that the second optimization method is to increase the inoculum amount of the engineered bacteria; If the glycoside isomerization ratio coefficient is less than the preset glycoside isomerization ratio coefficient, it is determined that the second optimization method is to reduce the drying temperature.

7. The extraction and detection system for stevia production according to claim 4, characterized in that: The ultrasonic adjustment unit determines the ultrasonic adjustment mode according to the cavitation sensitivity threshold, including: If the cavitation sensitivity threshold is greater than or equal to the preset cavitation sensitivity threshold, the ultrasonic adjustment method is to reduce the ultrasonic extraction time; If the cavitation sensitivity threshold is less than the preset cavitation sensitivity threshold, the ultrasonic adjustment method is to reduce the ultrasonic power.

8. The extraction and detection system for stevia production according to claim 4, characterized in that: The instability adjustment unit determines that the monitoring point setting mode is interval setting when the extraction abnormality coefficient is greater than or equal to the preset extraction abnormality coefficient or the production comparison deviation is greater than or equal to the preset production comparison deviation.

9. The extraction and detection system for stevia production according to claim 8, characterized in that: The instability adjustment unit determines that the monitoring point setting mode is an associated setting when the extraction abnormality coefficient is less than the preset extraction abnormality coefficient and the production comparison deviation is less than the preset production comparison deviation.

10. The extraction and detection system for stevia production according to claim 9, characterized in that: The instability adjustment unit adjusts the ultrasonic temperature of the instability monitoring point according to the abnormal deviation threshold; The decrease value of the ultrasonic temperature corresponding to a single instability monitoring point is positively correlated with the abnormal deviation threshold corresponding to the instability monitoring point; The instability monitoring point is a monitoring point where the abnormal reference value is greater than a preset abnormal reference value.

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