Method for extracting adzuki bean embryo extract based on Internet of Things

Abstract

The invention relates to the technical field of embryo element extraction, in particular to a red bean embryo element extraction method based on Internet of Things, which comprises the following steps: pretreating a red bean raw material, selecting to-be-soaked red beans, observing embryo integrity and detecting to determine whether the initial soaking temperature is proper or not; detecting the diffusion area of the active embryo, obtaining the embryo diffusion rate according to the diffusion area, and determining the embryo activity value according to the embryo integrity ratio and the embryo diffusion rate; determining the separation duration according to the embryo activity value, estimating the target embryo element content according to the final diffusion area, and judging whether to secondarily adjust the soaking heating rate or not according to the embryo element comparison result; and purifying the embryo element liquid conforming to the target embryo element content, and judging whether the initial soaking time length is adjusted or not according to the comparison result between the actual embryo element purity and the standard embryo element purity interval. According to the method, the embryo activity value is determined through the embryo integrity ratio and the embryo diffusion rate, so that the extraction purity and the extraction efficiency of the embryo extract are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of extracting embryosin, and particularly relates to a method for extracting adzuki bean embryosin based on the Internet of Things. Background Art

[0002] As a traditional crop for both medicine and food, the extraction and application of the bioactive components of adzuki beans have always been research hotspots. Embryosin generally refers to the active substances extracted from plant embryos or meristems, which may involve plant stem cells, growth factors, polypeptides or specific metabolites. In the early stage, water or organic solvents (such as ethanol, methanol) were mostly used to extract the active components in adzuki beans, but the targeting was poor and other compounds (such as polysaccharides, flavonoids) might be mixed. By using cellulase, pectinase, etc. to break the cell wall, the release efficiency of the active substances in the embryo region was improved, but the enzymatic hydrolysis conditions needed to be optimized to avoid component degradation.

[0003] [[ID=No. 11]] Chinese Patent Publication No.: CN117643821A discloses a method for extracting high-purity adzuki bean embryosin based on the Internet of Things, including step S1, mixing and stirring the adzuki bean particles output from the grinding process with an extraction solvent to output a mixed solution, centrifuging the extraction solution using a centrifuge to output a semi-finished embryosin solution, and concentrating and purifying the semi-finished embryosin solution to output a finished embryosin; step S2, if it is determined that the stability of embryosin extraction is lower than the allowable range, re-determine the single cloth-feeding amount of the centrifuge to output a first corresponding cloth-feeding amount; step S3, if it is determined that the effectiveness of filtration is lower than the allowable range, re-determine the number of filter membranes of the filter; step S4, if it is determined that the extraction efficiency of embryosin is lower than the allowable range, re-determine the first corresponding cloth-feeding amount. The present invention realizes the improvement of the purity and extraction stability of embryosin.

[0004] It can be seen that the prior art has the following problems: Since the embryosin activity value is not determined by the proportion of embryo integrity and the embryo diffusion rate, the embryosin cannot be completely extracted during the extraction of adzuki bean embryosin, reducing the extraction efficiency and extraction purity of embryosin. Summary of the Invention

[0005] Therefore, the present invention provides a method for extracting adzuki bean embryosin based on the Internet of Things to overcome the problem in the prior art that the embryosin cannot be completely extracted during the extraction of adzuki bean embryosin due to the lack of determination of the embryosin activity value by the proportion of embryo integrity and the embryo diffusion rate, resulting in the reduction of the extraction efficiency and extraction purity of embryosin.

[0006] To achieve the above object, the present invention provides a method for extracting adzuki bean embryosin based on the Internet of Things, including the following steps,

[0007] Pretreat the adzuki bean raw materials, select the adzuki beans to be soaked, and detect the integrity of their embryos through an embryo observation device to determine whether the initial soaking temperature is appropriate;

[0008] For the case where the embryo integrity is satisfied, detect the diffusion area of the active embryos, obtain the embryo diffusion rate according to the diffusion area, adjust the soaking heating rate according to the embryo diffusion rate, and determine the embryo activity value according to the proportion of embryo integrity and the embryo diffusion rate;

[0009] Determine the separation duration according to the embryo activity value to obtain the actual embryo element content, estimate the target embryo element content according to the final diffusion area, compare the actual embryo element content with the target embryo element content, and determine whether to adjust the soaking heating rate twice according to the embryo element comparison result;

[0010] Purify the embryo element liquid that meets the target embryo element content to obtain the actual embryo element purity, and determine whether to adjust the initial soaking duration according to the comparison result between the actual embryo element purity and the standard embryo element purity range.

[0011] Further, the process of detecting the integrity of the embryos through an embryo observation device to determine whether the initial soaking temperature is appropriate includes,

[0012] Select several embryo soaking areas, randomly grab the preset standard number of adzuki beans in the soaking areas and detect their embryo integrity, compare the actual number of adzuki beans with qualified embryo integrity with the standard number of adzuki beans, and determine whether the initial soaking temperature is appropriate according to the comparison result of the qualified adzuki bean number;

[0013] Among them, the standard number of adzuki beans is determined according to the historical number of adzuki beans.

[0014] Further, the process of randomly grabbing the preset standard number of adzuki beans in the soaking areas and detecting their embryo integrity includes,

[0015] Obtain any adzuki bean to be detected, detect the actual surface fullness curvature of its embryo surface, compare the actual surface fullness curvature with the standard surface fullness curvature range, and determine the embryo integrity according to the comparison result of the surface fullness curvature;

[0016] For the case where the actual surface fullness curvature is within the standard surface fullness curvature range, determine that the embryo integrity is qualified;

[0017] For the case where the actual surface fullness curvature is greater than or equal to the maximum value of the standard surface fullness curvature range, detect the damaged area of its embryo surface, and determine whether the embryo integrity is qualified according to the damaged area of the embryo surface and the difference between the maximum value of the standard surface fullness curvature range and the actual surface fullness curvature;

[0018] For the case where the actual surface fullness curvature is less than the minimum value of the standard surface fullness curvature range, it is determined that the embryo integrity is unqualified.

[0019] Further, the process of adjusting the soaking heating rate according to the embryo diffusion rate includes,

[0020] Generate an embryo diffusion rate curve from the embryo diffusion rate, select the inflection point of the embryo diffusion rate curve, record the actual inflection point soaking temperature corresponding to the inflection point, compare the actual inflection point soaking temperature with the standard inflection point soaking temperature, and determine whether to adjust the soaking heating rate according to the comparison result of the inflection point soaking temperature.

[0021] Further, the process of determining whether to adjust the soaking heating rate according to the comparison result of the inflection point soaking temperature includes,

[0022] For the case where the actual inflection point soaking temperature is less than the standard inflection point soaking temperature, it is determined to increase the soaking heating rate according to the difference between the standard inflection point soaking temperature and the actual inflection point soaking temperature;

[0023] For the case where the actual inflection point soaking temperature is equal to the standard inflection point soaking temperature, it is determined to maintain the current soaking heating rate;

[0024] For the case where the actual inflection point soaking temperature is greater than the standard inflection point soaking temperature, it is determined to decrease the soaking heating rate according to the difference between the actual inflection point soaking temperature and the standard inflection point soaking temperature.

[0025] Further, the process of determining the embryo activity value according to the embryo integrity ratio and the embryo diffusion rate includes,

[0026] Determine the embryo integrity ratio according to the ratio of the actual adzuki bean quantity to the standard adzuki bean quantity, determine the weight of the embryo integrity ratio on the compensation parameter of the embryo activity value according to the comparison result between the embryo integrity ratio and the preferred embryo integrity ratio. Among them, when the embryo integrity ratio is within the preferred range, it is positively correlated with the diffusion rate, and the weight of the embryo integrity ratio on the compensation parameter of the embryo activity value is negatively correlated with the weight of the embryo diffusion rate on the compensation parameter of the embryo activity value.

[0027] Further, the process of estimating the target embryosin content according to the final diffusion area includes,

[0028] Observe the embryo diffusion situation. For the case where the diffusion area stops and does not continue to diffuse within the preset stop duration, determine the target embryosin content according to the final diffusion area and the compensation parameter of the final diffusion area on the target embryosin content;

[0029] Among them, the final diffusion area is the diffusion area when the embryo diffusion stops and does not continue to diffuse within the stop duration.

[0030] Further, the process of comparing the actual content of embryotin with the target content of embryotin and determining whether to secondarily adjust the soaking heating rate according to the embryotin comparison result includes that,

[0031] For the case where the actual content of embryotin is greater than or equal to the target content of embryotin, it is determined that there is no need to secondarily adjust the soaking heating rate;

[0032] For the case where the actual content of embryotin is less than the target content of embryotin, it is determined to secondarily adjust the soaking heating rate according to the difference between the target content of embryotin and the actual content of embryotin.

[0033] Further, the process of comparing the actual purity of embryotin with the standard purity range of embryotin and determining whether to adjust the initial soaking duration includes that,

[0034] For the case where the actual purity of embryotin is within the standard purity range of embryotin, it is determined that there is no need to adjust the initial soaking duration;

[0035] For the case where the actual purity of embryotin is less than the minimum value of the standard purity range of embryotin, it is determined to increase the initial soaking duration according to the difference between the minimum value of the standard purity range of embryotin and the actual purity of embryotin;

[0036] For the case where the actual purity of embryotin is greater than the maximum value of the standard purity range of embryotin, it is determined to analyze the purity relationship change curve between the separation duration and the initial soaking duration.

[0037] Further, the process of determining and analyzing the purity relationship change curve between the separation duration and the initial soaking duration includes that,

[0038] If the purity relationship change curve shows that there is no corresponding relationship between the separation duration and the initial soaking duration, it is determined to reduce the initial soaking duration according to the difference between the actual purity of embryotin and the maximum value of the standard purity range of embryotin;

[0039] If the purity relationship change curve shows that there is a corresponding relationship between the separation duration and the initial soaking duration, it is determined to reduce the separation duration according to the difference between the actual purity of embryotin and the maximum value of the standard purity range of embryotin.

[0040] Compared with the prior art, the beneficial effects of the present invention are that this technical solution realizes the full - process optimization from raw material screening to finished product purification through a four - step linkage closed - loop control system. The raw material precise screening embryo observation device realizes millisecond - level integrity detection, significantly improves the temperature adaptation accuracy rate, and reduces raw material waste. The dual - parameter activity evaluation model (integrity + diffusion rate) shortens the dynamic adjustment response time of the heating rate. The error rate of the diffusion area prediction model, the optimization of the separation duration algorithm improves the yield, the purity range control accuracy, and the raw material screening, process optimization, content regulation, and purification and refinement form a complete detection, decision - making, execution, and verification closed - loop.

[0041] Furthermore, the adzuki bean embryo integrity detection method provided in this embodiment can efficiently and accurately evaluate the influence of the initial soaking temperature on the integrity of adzuki bean embryos through a scientific temperature screening process and automated detection means, thereby optimizing the extraction process of adzuki bean embryo extract. By comparing the embryo integrity at different soaking temperatures, the optimal soaking temperature (such as 35°C) can be quickly screened out, avoiding problems such as embryo damage caused by too high temperature (45°C) or insufficient extraction efficiency caused by too low temperature (25°C). Ensure that the adzuki bean embryos maintain a high activity during soaking, and improve the yield of target components (such as growth factors, polypeptides, etc.) in subsequent extraction steps. Using the standard number of adzuki beans set by historical data (such as a 90% pass rate) as a benchmark can avoid errors caused by subjective judgment and ensure the repeatability of the detection results. Through precise temperature control, reduce the ineffective extraction caused by embryo breakage and reduce raw material loss. Using high-resolution microscopic imaging or spectral analysis method (NIRS), the embryo integrity can be detected quickly and non-destructively, avoiding the subjectivity and errors of manual detection. The spectral analysis method (NIRS) can achieve rapid screening of a batch of adzuki beans by comparing standard spectral features, improving the detection efficiency. Using multiple groups of parallel experiments (such as 3 replicates for each temperature) to ensure the statistical significance of experimental data and avoid accidental errors. By dividing the soaking area (zones A, B, and C) and randomly sampling, reduce the influence caused by uneven local temperature or sample deviation. If historical data shows a change in the embryo integrity rate of a certain batch of adzuki beans (such as due to different storage conditions), the standard number of adzuki beans can be dynamically adjusted to ensure that the detection standard meets the actual needs. This method can be extended to the detection of embryo activity of other legumes or seed crops, and has high generality.

[0042] Furthermore, by establishing a dual determination mechanism of the standard curvature interval and the damaged area, the accurate evaluation of the quality of adzuki bean embryos is realized, and a range of 0.85 - 1.15 mm is established -1The standard curvature interval is objectively quantified through 3D scanning technology to improve the detection accuracy. Innovatively, a dynamic correlation is established between the curvature exceeding value and the damaged area. For the case where the actual surface fullness curvature is greater than or equal to the maximum value of the standard surface fullness curvature interval, the damaged area of the embryo surface is detected. Whether the embryo integrity is qualified is determined based on the damaged area of the embryo surface and the difference between the maximum value of the standard surface fullness curvature interval and the actual surface fullness curvature. It can effectively identify samples with excessive curvature caused by swelling and avoid misjudgment of embryos that are overly full but structurally intact. The detection standard can be seamlessly connected to the automated sorting equipment. The microscopic image analysis algorithm is compatible with the online detection system. All parameters (curvature interval, damage threshold) support dynamic adjustment according to the raw material batch. By converting the biological morphological characteristics into quantifiable engineering parameters, this method constructs a set of standardized and digital adzuki bean embryo quality detection systems, which is not only applicable to the optimization of the embryo extract process, but also provides an innovative technical paradigm for the quality control of deep processing of agricultural products. Its core value lies in achieving the closed-loop management of morphological characteristics, digital parameters, and process decisions, and upgrading the traditional experience-based quality control to a data-driven intelligent decision-making mode.

[0043] Furthermore, this technical solution establishes a set of scientific and quantitative adzuki bean embryo activity evaluation systems by combining the proportion of embryo integrity and the embryo diffusion rate. This method can not only accurately reflect the biological activity state of the embryo, but also provide key decision-making basis for the optimization of the adzuki bean embryo extract process. Considering both the proportion of embryo integrity (structural integrity) and the diffusion rate (functional activity) simultaneously, it avoids misjudgment that may be caused by a single index. High-activity embryos are screened through the activity value to prevent low-activity samples from being mixed in and improve the extraction purity of target components (such as growth factors, polypeptides). Through formula calculation, the embryo activity evaluation is made objective and comparable, avoiding the deviation of manual subjective judgment. An online diffusion rate detector and an image analysis system can be integrated to achieve real-time activity monitoring; the data can be directly transmitted to the control system to automatically adjust process parameters (such as temperature, time). If the embryo activity value is less than 1 and greater than or equal to 0.8, it is determined as medium activity and the temperature or time is slightly adjusted; if the embryo activity value is less than 0.8, it is determined as low activity and the soaking conditions or raw material batches are replaced. It can avoid ineffective processing of low-activity samples and reduce the waste of solvents and energy. This method can be extended to the detection of embryo activity of mung beans, soybeans, etc., only by adjusting the preferred integrity range and diffusion reference value. By long-term monitoring of the embryo activity value, high-activity adzuki bean varieties can be screened; it provides a standardized detection method for the research of plant embryo activity. Through the dual-parameter model of integrity proportion + diffusion rate, this method realizes the accurate quantitative evaluation of adzuki bean embryo activity, with core advantages such as high scientificity, strong adaptability, and good automation compatibility. Its application can significantly improve the stability and efficiency of the embryo extract process, and at the same time provide an innovative solution for the quality control of deep processing of agricultural products.

[0044] Furthermore, through the innovative integration of diffusion kinetics monitoring and high-performance liquid chromatography verification, this technical solution has established an intelligent control system for the extraction process of embryin. A high-sensitivity microscopic imaging system (detection accuracy: 0.01 mm 2 ) is used to achieve real-time monitoring of the diffusion process, accurately determine the diffusion termination point within 5 minutes, effectively improve the detection response speed, and the dynamic compensation mechanism (temperature compensation: 1.2 times / viscosity compensation: 0.8 times) can effectively handle abnormal diffusion situations. The diffusion area model provides rapid prediction, and the high-performance liquid chromatography gold standard method ensures quantitative accuracy, and the two form a closed-loop verification. By deeply integrating physical characterization, chemical analysis, and engineering control, this system has achieved a technological leap from empirical operation to data-driven, providing an innovative solution for the precise extraction of plant active ingredients. Its core value lies in establishing a complete technical chain of monitoring, prediction, verification, and regulation, which not only ensures product quality but also significantly improves production efficiency.

[0045] Furthermore, through the establishment of an intelligent feedback control system based on purity detection, this technical solution has achieved precise optimization of the embryin extraction process. A triple determination mechanism is adopted to ensure that the purity is stable within the target range, and the process adjustment targets are accurately identified through correlation coefficient analysis. By forming a closed-loop control of detection analysis, intelligent decision-making, and process execution, this solution has achieved an industrial upgrade from experience-driven to data-driven. Compared with traditional processes, it can improve quality stability and reduce production costs. Description of the Drawings

[0046] Figure 1 It is a flowchart of the adzuki bean embryin extraction method based on the Internet of Things in the embodiment;

[0047] Figure 2 It is a flowchart of the embryin integrity detection process in the adzuki bean embryin extraction method based on the Internet of Things in the embodiment;

[0048] Figure 3 It is a flowchart of the single adzuki bean embryin curvature detection process in the adzuki bean embryin extraction method based on the Internet of Things in the embodiment;

[0049] Figure 4 It is a flowchart of the process of adjusting the soaking heating rate in the adzuki bean embryin extraction method based on the Internet of Things in the embodiment. Detailed Embodiments

[0050] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with the embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0051] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0052] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for 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, and therefore should not be construed as a limitation of the present invention.

[0053] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0054] Please refer to Figures 1 - 4 as shown Figure 1 is a flowchart of the adzuki bean embryo extract extraction method based on the Internet of Things in the embodiment; Figure 2 is a flowchart of the embryo integrity detection process in the adzuki bean embryo extract extraction method based on the Internet of Things in the embodiment; Figure 3 is a flowchart of the single adzuki bean embryo curvature detection process in the adzuki bean embryo extract extraction method based on the Internet of Things in the embodiment; Figure 4 is a flowchart of the process of adjusting the soaking heating rate in the adzuki bean embryo extract extraction method based on the Internet of Things in the embodiment.

[0055] This embodiment provides an adzuki bean embryo extract extraction method based on the Internet of Things, including the following steps

[0056] Step S1, preprocess the adzuki bean raw materials, select the adzuki beans to be soaked, and detect their embryo integrity through an embryo observation device to determine whether the initial soaking temperature is appropriate;

[0057] Step S2, for the case where the embryo integrity is satisfied, detect the diffusion area of the active embryo, obtain the embryo diffusion rate according to the diffusion area, adjust the soaking heating rate according to the embryo diffusion rate, and determine the embryo activity value according to the embryo integrity ratio and the embryo diffusion rate;

[0058] Step S3: Determine the separation duration based on the embryo activity value to obtain the actual content of embryosin. Estimate the target content of embryosin according to the final diffusion area. Compare the actual content of embryosin with the target content of embryosin, and determine whether to secondarily adjust the soaking heating rate according to the comparison result of embryosin.

[0059] Step S4: Purify the embryosin liquid that meets the target content of embryosin to obtain the actual purity of embryosin. Determine whether to adjust the initial soaking duration according to the comparison result between the actual purity of embryosin and the standard purity range of embryosin.

[0060] This technical solution realizes the full - process optimization from raw material screening to finished product purification through a four - step linkage closed - loop control system. The accurate screening of raw materials: The embryo observation device realizes millisecond - level integrity detection, significantly improves the accuracy of temperature adaptation, and reduces raw material waste. The dual - parameter activity evaluation model (integrity + diffusion rate) shortens the dynamic adjustment response time of the heating rate. The error rate of the diffusion area prediction model, the optimization of the separation duration algorithm improves the yield, the control accuracy of the purity range. Raw material screening, process optimization, content regulation, and purification and refinement form a complete closed - loop of detection, decision - making, execution, and verification.

[0061] Specifically, the process of detecting the integrity of the embryo by the embryo observation device to determine whether the initial soaking temperature is appropriate includes:

[0062] Select several embryo soaking areas, randomly grab the preset standard number of adzuki beans in the soaking area and detect their embryo integrity. Compare the actual number of adzuki beans with the standard number of adzuki beans with qualified embryo integrity, and determine whether the initial soaking temperature is appropriate according to the comparison result of the number of qualified adzuki beans;

[0063] Among them, the standard number of adzuki beans is determined according to the historical number of adzuki beans.

[0064] Adzuki bean samples: Select a number of dry adzuki beans of the same batch and uniform size (such as 1000 grains).

[0065] Use a high - resolution microscopic imaging system (such as a stereomicroscope + CCD camera) or a near - infrared spectroscopy (NIRS) rapid detection device to detect the embryo integrity. According to historical data, set the standard number of adzuki beans with qualified embryo integrity (for example, if the historical pass rate is 90%, then 90 out of 100 grains are the passing benchmark).

[0066] This embodiment provides a process for detecting embryo integrity, including the following steps:

[0067] Step S11: Preset the initial soaking temperatures to be tested (such as T1 = 25°C, T2 = 35°C, T3 = 45°C), and set 3 parallel experiments for each temperature.

[0068] Step S12: Evenly disperse the adzuki beans in the soaking container, divide it into several soaking areas (such as Area A, B, and C), ensure that the temperature of each area is the same, soak for a fixed time (such as 2 hours) at different temperatures, and then drain the water.

[0069] Step S13: Randomly pick a preset standard number of adzuki beans (such as N = 100 grains / group) from each soaking area, and use an embryo observation device to detect the embryo integrity of each adzuki bean. For example, spectral analysis method: Scan the embryo area through NIRS and compare the spectral characteristics of the complete embryo.

[0070] Count the number of qualified adzuki beans in each group. For the first group, the initial soaking temperature is 25°C, and the passing rate is 88%.

[0071] Count the number of qualified adzuki beans in each group. For the first group, the initial soaking temperature is 35°C, and the passing rate is 93%.

[0072] Count the number of qualified adzuki beans in each group. For the first group, the initial soaking temperature is 45°C, and the passing rate is 75%.

[0073] Compare the actual number of adzuki beans with qualified embryo integrity with the standard number of adzuki beans. If the passing rate is greater than the historical qualified rate, the corresponding initial soaking temperature is appropriate.

[0074] The adzuki bean embryo integrity detection method provided in this embodiment can efficiently and accurately evaluate the impact of the initial soaking temperature on the integrity of adzuki bean embryos through a scientific temperature screening process and automated detection means, thereby optimizing the extraction process of adzuki bean embryo extract. By comparing the embryo integrity at different soaking temperatures, the optimal soaking temperature (such as 35°C) can be quickly screened out, avoiding problems such as embryo damage caused by too high temperature (45°C) or insufficient extraction efficiency caused by too low temperature (25°C). Ensure that the adzuki bean embryos maintain a high activity during the soaking process and improve the yield of target components (such as growth factors, polypeptides, etc.) in subsequent extraction steps. Using the standard adzuki bean quantity (such as 90% pass rate) set by historical data as a benchmark can avoid errors caused by subjective judgment and ensure the repeatability of the detection results. Through precise temperature control, reduce the ineffective extraction caused by embryo breakage and reduce raw material loss. Using high-resolution microscopic imaging or near-infrared spectroscopy (NIRS) technology can quickly and non-destructively detect embryo integrity, avoiding the subjectivity and errors of manual detection. Spectral analysis method (NIRS) can achieve rapid screening of batch adzuki beans by comparing standard spectral features, improving the detection efficiency. Using multiple groups of parallel experiments (such as 3 replicates for each temperature) to ensure the statistical significance of experimental data and avoid accidental errors. By dividing the soaking area (areas A, B, and C) and randomly sampling, reduce the influence caused by local temperature unevenness or sample deviation. If historical data shows a change in the embryo integrity rate of a batch of adzuki beans (such as due to different storage conditions), the standard adzuki bean quantity can be dynamically adjusted to ensure that the detection standard meets the actual needs. This method can be extended to the detection of embryo activity of other legumes or seed crops, with high generality.

[0075] Specifically, the process of randomly grabbing a preset standard adzuki bean quantity within the soaking area and detecting its embryo integrity includes

[0076] Obtain any adzuki bean to be detected, detect the actual surface fullness curvature of its embryo surface, compare the actual surface fullness curvature with the standard surface fullness curvature interval, and determine the embryo integrity according to the surface fullness curvature comparison result.

[0077] For the case where the actual surface fullness curvature is within the standard surface fullness curvature interval, it is determined that the embryo integrity is qualified.

[0078] For the case where the actual surface fullness curvature is greater than or equal to the maximum value of the standard surface fullness curvature interval, detect the damaged area of its embryo surface, and determine whether the embryo integrity is qualified according to the difference between the damaged area of the embryo surface and the maximum value of the standard surface fullness curvature interval and the actual surface fullness curvature.

[0079] For the case where the actual surface fullness curvature is less than the minimum value of the standard surface fullness curvature interval, it is determined that the embryo integrity is unqualified.

[0080] Detection equipment: 3D laser scanner or high-precision structured light imaging system (used to measure the surface curvature of the embryo). In this embodiment, the standard surface fullness curvature interval is set to 0.85 - 1.15 mm -1 , and the maximum allowable damaged area is 0.2 mm 2 (determined by microscopic image analysis). After soaking the adzuki beans, cut them longitudinally to expose the embryo part for detection

[0081] This embodiment provides a single adzuki bean embryo curvature detection process, including the following steps

[0082] Step S21: Use a three-dimensional scanner to obtain the point cloud data of the embryo surface, and extract the maximum principal curvature value through the curvature calculation algorithm

[0083] Step S22: When the maximum principal curvature value is within the standard surface fullness curvature interval, directly determine it as qualified (integrity score = 1.0). For example, the maximum principal curvature value of adzuki bean 1 is measured to be 0.92 mm -1 , and determine it as qualified

[0084] Step S23: When the maximum principal curvature value is greater than the maximum value of the standard surface fullness curvature interval, calculate the excess value of the surface fullness curvature, take a microscopic image of the adzuki bean surface, calculate the damaged area through image processing. If the damaged area is less than or equal to the maximum allowable damaged area, determine it as qualified

[0085] Step S24: When the maximum principal curvature value is less than the minimum value of the standard surface fullness curvature interval, determine it as unqualified

[0086] Specifically, the process of adjusting the soaking heating rate according to the embryo diffusion rate includes

[0087] Generate an embryo diffusion rate curve for the embryo diffusion rate, select the inflection point of the embryo diffusion rate curve, record the actual inflection point soaking temperature corresponding to the inflection point, compare the actual inflection point soaking temperature with the standard inflection point soaking temperature, and determine whether to adjust the soaking heating rate according to the comparison result of the inflection point soaking temperature

[0088] Specifically, the process of determining whether to adjust the soaking heating rate according to the comparison result of the inflection point soaking temperature includes

[0089] For the case where the actual inflection point soaking temperature is less than the standard inflection point soaking temperature, determine to increase the soaking heating rate according to the difference between the standard inflection point soaking temperature and the actual inflection point soaking temperature

[0090] For the case where the actual inflection point soaking temperature is equal to the standard inflection point soaking temperature, determine to maintain the current soaking heating rate

[0091] For the case where the actual inflection point soaking temperature is greater than the standard inflection point soaking temperature, it is determined to reduce the soaking heating rate according to the difference between the actual inflection point soaking temperature and the standard inflection point soaking temperature.

[0092] By establishing a dual determination mechanism of the standard curvature interval and the damaged area, the precise evaluation of the adzuki bean embryo quality is realized. A curvature standard interval of 0.85 - 1.15 mm -1 is established. Through three-dimensional scanning technology, objective quantitative detection is realized, the detection accuracy is improved, and the dynamic correlation between the curvature exceedance value and the damaged area is innovatively established. For the case where the actual surface fullness curvature is greater than or equal to the maximum value of the standard surface fullness curvature interval, the damaged area of the embryo surface is detected. According to the damaged area of the embryo surface and the difference between the maximum value of the standard surface fullness curvature interval and the actual surface fullness curvature, it is determined whether the embryo integrity is qualified. It can effectively identify the samples with too high curvature caused by swelling and avoid misjudgment of the embryos that are overly full but structurally intact. The detection standard can be seamlessly connected to the automatic sorting equipment. The microscopic image analysis algorithm is compatible with the online detection system. All parameters (curvature interval, damage threshold) support dynamic adjustment according to the raw material batches. By converting the biological morphological characteristics into quantifiable engineering parameters, this method constructs a set of standardized and digital adzuki bean embryo quality detection systems, which is not only applicable to the optimization of the embryo extract process, but also provides an innovative technical paradigm for the quality control of the intensive processing of agricultural products. Its core value lies in realizing the closed-loop management of morphological characteristics, digital parameters, and process decisions, and upgrading the traditional experience-based quality control to a data-driven intelligent decision-making mode.

[0093] Specifically, the process of determining the embryo activity value according to the embryo integrity ratio and the embryo diffusion rate includes,

[0094] Determining the embryo integrity ratio according to the ratio of the actual number of adzuki beans to the standard number of adzuki beans, and determining the weight of the embryo integrity ratio on the compensation parameter of the embryo activity value according to the comparison result between the embryo integrity ratio and the preferred embryo integrity ratio. Among them, when the embryo integrity ratio is within the preferred range, it is positively correlated with the diffusion rate, and the weight of the embryo integrity ratio on the compensation parameter of the embryo activity value is negatively correlated with the weight of the embryo diffusion rate on the compensation parameter of the embryo activity value.

[0095] In this embodiment, the embryo diffusion rate of the embryo substance in the simulated body fluid is measured by a diffusion rate measuring instrument. The preferred embryo integrity ratio range [85%, 95%] is set (that is, when the integrity ratio is between 85% - 95%, the embryo diffusion rate is positively correlated with the activity value), and the benchmark value of the embryo diffusion rate is 0.12 mm 2 / h (determined by standard samples),

[0096] Randomly sample from the soaked adzuki beans, detect the number of intact embryos, and calculate the proportion of embryo integrity based on the ratio of the number of intact embryos to the number of randomly sampled beans. For example, if the random sample is 100 and the number of intact embryos is 90, the proportion of embryo integrity is 90%. Within the preferred range,

[0097] Take 10 intact embryo samples, crush them and dissolve in simulated body fluid (such as PBS buffer),

[0098] Use a diffusion cell to measure the diffusion area of the dissolved substance within 1 hour and calculate the diffusion rate. For example, the diffusion area is 0.15 mm 2 then the diffusion rate is 0.15 mm 2 / h,

[0099] The weight of the compensation parameter for the influence of the proportion of embryo integrity on the embryo activity value. If the proportion of embryo integrity is within the preferred range, set the weight of the compensation parameter for the influence of the proportion of embryo integrity on the embryo activity value to 0.4. If the proportion of embryo integrity is greater than the maximum value of the preferred range or less than the minimum value of the preferred range, set the weight of the compensation parameter for the influence of the proportion of embryo integrity on the embryo activity value to 0.6 (the influence of the proportion is greater). The compensation parameter for the influence of the embryo diffusion rate on the embryo activity value is 1 minus the weight of the compensation parameter for the influence of the proportion of embryo integrity on the embryo activity value,

[0100] Calculate the embryo activity value. For example, the proportion of embryo integrity is 90%, the embryo diffusion rate is 0.15 mm 2 / h, the reference value of the embryo diffusion rate is 0.12 mm 2 / h, the weight of the compensation parameter for the influence of the proportion of embryo integrity on the embryo activity value is 0.4, and the compensation parameter for the influence of the embryo diffusion rate on the embryo activity value is 0.6,

[0101] The embryo activity value is (100 / 90×0.4)+(0.12 / 0.15×0.6) = 0.36 + 0.75 = 1.11. An embryo activity value greater than 1 indicates a relatively high embryo activity,

[0102] Set the embryo activity level. If the embryo activity value is greater than or equal to 1, determine high activity and maintain the current soaking temperature;

[0103] If the embryo activity value is less than 1 and greater than or equal to 0.8, determine medium activity and fine-tune the temperature or time;

[0104] If the embryo activity value is less than 0.8, determine low activity and change the soaking conditions or raw material batches.

[0105] By combining the proportion of embryo integrity and the embryo diffusion rate, a scientific and quantitative adzuki bean embryo activity evaluation system has been established. This method can not only accurately reflect the biological activity state of the embryo, but also provide a key decision-making basis for optimizing the extraction process of adzuki bean embryo extract. Considering both the proportion of embryo integrity (structural integrity) and the diffusion rate (functional activity) simultaneously, it avoids misjudgment that may be caused by a single index. High-activity embryos are screened through the activity value to prevent the mixing of low-activity samples and improve the extraction purity of target components (such as growth factors and polypeptides). Through formula calculation, the embryo activity evaluation is made objective and comparable, avoiding the deviation of manual subjective judgment. An online diffusion rate detector and an image analysis system can be integrated to achieve real-time activity monitoring; the data can be directly transmitted to the control system to automatically adjust process parameters (such as temperature and time). If the embryo activity value is less than 1 and greater than or equal to 0.8, it is determined as medium activity and the temperature or time is slightly adjusted; if the embryo activity value is less than 0.8, it is determined as low activity, and the soaking conditions or raw material batches are replaced. It can avoid ineffective processing of low-activity samples and reduce the waste of solvents and energy. This method can be extended to the detection of embryo activity of mung beans, soybeans, etc., only by adjusting the preferred integrity range and diffusion reference value. By long-term monitoring of the embryo activity value, high-activity adzuki bean varieties can be screened out; it provides a standardized detection method for plant embryo activity research. This method realizes the accurate quantitative evaluation of adzuki bean embryo activity through a two-parameter model of integrity proportion + diffusion rate, and has core advantages such as high scientificity, strong adaptability, and good automation compatibility. Its application can significantly improve the stability and efficiency of the embryo extract extraction process, and at the same time provide an innovative solution for the quality control of deep processing of agricultural products.

[0106] Specifically, the process of estimating the target embryo extract content based on the final diffusion area includes,

[0107] Observing the embryo diffusion situation. For the case where the diffusion area stops and does not continue to diffuse within the preset stop duration, the target embryo extract content is determined according to the final diffusion area and the influence compensation parameter of the final diffusion area on the target embryo extract content;

[0108] Wherein, the final diffusion area is the diffusion area when the embryo diffusion stops and does not continue to diffuse within the stop duration.

[0109] Specifically, the process of comparing the actual embryo extract content with the target embryo extract content and determining whether to secondarily adjust the soaking heating rate according to the embryo extract comparison result includes,

[0110] For the case where the actual embryo extract content is greater than or equal to the target embryo extract content, it is determined that there is no need to secondarily adjust the soaking heating rate;

[0111] For the case where the actual content of embryotin is less than the target content of embryotin, it is determined that the soaking heating rate is adjusted twice according to the difference between the target content of embryotin and the actual content of embryotin.

[0112] In this embodiment, a time-lapse microscopy system is used to monitor the diffusion process of embryo substances in simulated body fluid, and the diffusion stop determination condition is set: the change in diffusion area is less than 0.01 mm for 5 consecutive minutes 2 , record the final diffusion area at this time (such as 2.35 mm 2 ), calculate the target content of embryotin, establish a standard curve, a database of diffusion areas of embryotin solutions with known concentrations, calculate the target content of embryotin based on the influence compensation parameter of the final diffusion area on the target content of embryotin and the initial target content of embryotin, set the influence compensation parameter of the final diffusion area on the target content of embryotin to 0.45 μg / mm 2 , the initial target content of embryotin is 0.12 μg, and the target content of embryotin is (2.35×0.45)+0.12 = 1.18 μg / mL. When the diffusion stops abnormally quickly (less than 15 minutes), activate the temperature compensation coefficient (set to 1.2). When the diffusion time is extremely long (more than 60 minutes), enable the viscosity compensation (set to 0.8).

[0113] In this embodiment, the actual content of embryotin is determined by high performance liquid chromatography, and it is compared with the target content of embryotin. If the actual content of embryotin is greater than the target content of embryotin, the current heating rate (such as 2℃ / min) is maintained

[0114] If the actual content of embryotin is less than the target content of embryotin, the soaking heating rate is adjusted twice according to the difference between the target content of embryotin and the actual content of embryotin. Among them, the difference between the target content of embryotin and the actual content of embryotin is positively correlated with the soaking heating rate, and the positive correlation ratio parameter between the difference between the target content of embryotin and the actual content of embryotin and the soaking heating rate is determined by a preset ratio parameter.

[0115] Set the basic heating rate: 2℃ / min, and the positive correlation ratio parameter is 0.5℃min -1 (μg / mL) -1 (that is, for every difference of 1 μg / mL, the heating rate is adjusted by 0.5℃ / min), and no adjustment is made when the allowable error range is less than or equal to 0.1 μg / mL.

[0116] This technical solution innovatively integrates diffusion kinetics monitoring and high performance liquid chromatography verification to establish an intelligent control system for embryotin extraction process. A high-sensitivity microscopy system is used (detection accuracy 0.01 mm 2)Realize real-time monitoring of the diffusion process, accurately determine the diffusion termination point within 5 minutes, effectively improve the detection response speed, and the dynamic compensation mechanism (temperature compensation 1.2 times / viscosity compensation 0.8 times) can effectively cope with abnormal diffusion situations. The diffusion area model provides rapid prediction, and the high-performance liquid chromatography gold standard method ensures quantitative accuracy, and the two form a closed-loop verification. By deeply integrating physical characterization, chemical analysis and engineering control, this system has achieved a technological leap from empirical operation to data-driven, providing an innovative solution for the precise extraction of plant active ingredients. Its core value lies in establishing a complete technical chain of monitoring, prediction, verification and regulation, which not only ensures product quality but also significantly improves production efficiency.

[0117] Specifically, the process of determining whether to adjust the initial soaking duration according to the comparison result between the actual embryo element purity and the standard embryo element purity range includes,

[0118] For the case where the actual embryo element purity is within the standard embryo element purity range, it is determined that there is no need to adjust the initial soaking duration;

[0119] For the case where the actual embryo element purity is less than the minimum value of the standard embryo element purity range, it is determined that the initial soaking duration is increased according to the difference between the minimum value of the standard embryo element purity range and the actual embryo element purity;

[0120] For the case where the actual embryo element purity is greater than the maximum value of the standard embryo element purity range, it is determined to analyze the purity relationship change curve between the separation duration and the initial soaking duration.

[0121] Specifically, the process of determining and analyzing the purity relationship change curve between the separation duration and the initial soaking duration includes,

[0122] If the purity relationship change curve shows that there is no corresponding relationship between the separation duration and the initial soaking duration, it is determined that the initial soaking duration is reduced according to the difference between the actual embryo element purity and the maximum value of the standard embryo element purity range;

[0123] If the purity relationship change curve shows that there is a corresponding relationship between the separation duration and the initial soaking duration, it is determined that the separation duration is reduced according to the difference between the actual embryo element purity and the maximum value of the standard embryo element purity range.

[0124] In this embodiment, the standard embryo element purity range is set as [90%, 95%], and the soaking duration compensation coefficient is 2 min / %.

[0125] Case 1: The actual embryo element purity is less than the minimum value of the standard embryo element purity range. The detected actual embryo element purity is 85%, and the soaking duration is increased by 5×2 = 10 minutes;

[0126] Case 2: The actual purity of the embryotin is greater than the maximum value of the standard embryotin purity range. The purity relationship change curve shows that there is no corresponding relationship between the separation duration and the initial soaking duration. The detected actual purity of the embryotin is 97%. The analysis shows that the change in the separation duration does not affect the purity. According to the difference between the actual purity of the embryotin and the maximum value of the standard embryotin purity range and the compensation parameter of the embryotin purity for the initial soaking duration, the initial soaking duration is determined to be reduced;

[0127] Case 3: The actual purity of the embryotin is greater than the maximum value of the standard embryotin purity range. The purity relationship change curve shows that there is a corresponding relationship between the separation duration and the initial soaking duration. The detected actual purity of the embryotin is 96%. The analysis shows that the purity is negatively correlated with the separation duration. According to the difference between the actual purity of the embryotin and the maximum value of the standard embryotin purity range and the compensation parameter of the embryotin purity for the separation duration, the separation duration is determined to be reduced;

[0128] Set the compensation parameter of the embryotin purity for the initial soaking duration to 1.2 min / %; the compensation parameter of the embryotin purity for the separation duration to 1.5 min / %, and the reference soaking duration to 120 min. The historical data statistics show that there is no significant correlation between the separation duration (30 - 90 min) and the purity. The purity exceeding the standard is caused by excessive soaking, and the initial soaking duration needs to be shortened;

[0129] Detect the actual purity of the embryotin is 97%. The new soaking duration = 120 min - (2% × 1.2 min / %) = 117.6 min;

[0130] The purity is significantly negatively correlated with the separation duration. The separation process causes the dissolution of impurities, and the separation duration needs to be shortened.

[0131] Detect the actual purity of the embryotin is 96%. Set the reference separation duration to 60 min. The new separation duration is 60 min - (1% × 1.5 min / %) = 58.5 min.

[0132] This technical solution realizes the precise optimization of the embryotin extraction process by establishing an intelligent feedback control system based on purity detection. Adopt a triple determination mechanism to ensure that the purity is stable within the target range, and accurately identify the process adjustment target through correlation coefficient analysis. This solution forms a closed-loop control by combining detection analysis, intelligent decision-making, and process execution, realizing the industrial upgrade from experience-driven to data-driven. Compared with the traditional process, it can improve the quality stability and reduce the production cost.

[0133] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easily understood by those skilled in the art that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0134] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for extracting adzuki bean embryo element based on the Internet of Things, characterized in that It includes the following steps: Pre-treat the adzuki bean raw materials. Select the adzuki beans to be soaked and detect their embryo integrity through an embryo observation device to determine whether the initial soaking temperature is appropriate. For the case where the embryo integrity is met, detect the diffusion area of the active embryos, obtain the embryo diffusion rate based on the diffusion area, adjust the soaking heating rate according to the embryo diffusion rate, and determine the embryo activity value based on the proportion of embryo integrity and the embryo diffusion rate. Determine the separation duration based on the embryo activity value to obtain the actual embryo element content, estimate the target embryo element content based on the final diffusion area, compare the actual embryo element content with the target embryo element content, and determine whether to adjust the soaking heating rate twice according to the embryo element comparison result. Purify the embryo element liquid that meets the target embryo element content to obtain the actual embryo element purity, and determine whether to adjust the initial soaking duration according to the comparison result between the actual embryo element purity and the standard embryo element purity range.

2. The adzuki bean embryonin extraction method based on the Internet of Things according to claim 1, characterized in that, The process of detecting the embryo integrity through an embryo observation device to determine whether the initial soaking temperature is appropriate includes: Select several embryo soaking areas, randomly grab the preset number of standard adzuki beans in the soaking areas and detect their embryo integrity. Compare the actual number of adzuki beans with qualified embryo integrity with the standard number of adzuki beans, and determine whether the initial soaking temperature is appropriate according to the comparison result of the qualified adzuki bean number. Among them, the standard number of adzuki beans is determined according to the historical number of adzuki beans.

3. The method for extracting adzuki bean embryo element based on the Internet of Things according to claim 2, wherein, The process of randomly grabbing the preset number of standard adzuki beans in the soaking areas and detecting their embryo integrity includes: Obtain any adzuki bean to be detected, detect the actual surface fullness curvature of its embryo surface, compare the actual surface fullness curvature with the standard surface fullness curvature range, and determine the embryo integrity according to the comparison result of the surface fullness curvature. For the case where the actual surface fullness curvature is within the standard surface fullness curvature range, determine that the embryo integrity is qualified. For the case where the actual surface fullness curvature is greater than or equal to the maximum value of the standard surface fullness curvature range, detect the damaged area of its embryo surface, and determine whether the embryo integrity is qualified according to the damaged area of the embryo surface and the difference between the maximum value of the standard surface fullness curvature range and the actual surface fullness curvature. For the case where the actual surface fullness curvature is less than the minimum value of the standard surface fullness curvature range, determine that the embryo integrity is unqualified.

4. The method for extracting adzuki bean embryo element based on the Internet of Things according to claim 3, characterized in that The process of adjusting the soaking heating rate according to the embryo diffusion rate includes: Generate an embryo diffusion rate curve from the embryo diffusion rate, select the inflection point of the embryo diffusion rate curve, record the actual inflection point soaking temperature corresponding to the inflection point, compare the actual inflection point soaking temperature with the standard inflection point soaking temperature, and determine whether to adjust the soaking heating rate according to the comparison result of the inflection point soaking temperature.

5. The adzuki bean embryo extract method based on the Internet of Things according to claim 4, characterized in that The process of determining whether to adjust the soaking heating rate according to the comparison result of the inflection point soaking temperature includes: For the case where the actual inflection point soaking temperature is less than the standard inflection point soaking temperature, determine to increase the soaking heating rate according to the difference between the standard inflection point soaking temperature and the actual inflection point soaking temperature. For the case where the actual inflection point soaking temperature is equal to the standard inflection point soaking temperature, determine to maintain the current soaking heating rate. For the case where the actual inflection point soaking temperature is greater than the standard inflection point soaking temperature, it is determined to reduce the soaking temperature rising rate according to the difference between the actual inflection point soaking temperature and the standard inflection point soaking temperature.

6. The adzuki bean embryo extract method based on the Internet of Things according to claim 5, characterized in that, The process of determining the embryo viability value based on the proportion of embryo integrity and the embryo diffusion rate includes determining the proportion of embryo integrity based on the ratio of the actual number of adzuki beans to the standard number of adzuki beans, determining the weight of the influence compensation parameter of the proportion of embryo integrity on the embryo viability value according to the comparison result between the proportion of embryo integrity and the preferred proportion of embryo integrity. Among them, when the proportion of embryo integrity is within the preferred range, it is positively correlated with the diffusion rate, and the weight of the influence compensation parameter of the proportion of embryo integrity on the embryo viability value is negatively correlated with the weight of the influence compensation parameter of the embryo diffusion rate on the embryo viability value.

7. The method for extracting adzuki bean embryosin based on the Internet of Things according to claim 6, characterized in that, The process of estimating the target embrosin content based on the final diffusion area includes observing the embryo diffusion situation. For the case where the diffusion area stops and does not continue to diffuse within the preset stop duration, determining the target embrosin content according to the final diffusion area and the influence compensation parameter of the final diffusion area on the target embrosin content; wherein, the final diffusion area is the diffusion area when the embryo diffusion stops and does not continue to diffuse within the stop duration.

8. The adzuki bean embryonin extraction method based on the Internet of Things according to claim 7, characterized in that, The process of comparing the actual embrosin content with the target embrosin content and determining whether to adjust the soaking temperature rising rate twice according to the embrosin comparison result includes for the case where the actual embrosin content is greater than or equal to the target embrosin content, determining that there is no need to adjust the soaking temperature rising rate twice; for the case where the actual embrosin content is less than the target embrosin content, determining to adjust the soaking temperature rising rate twice according to the difference between the target embrosin content and the actual embrosin content.

9. The method for extracting adzuki bean embryo element based on the Internet of Things according to claim 8, characterized in that, The process of determining whether to adjust the initial soaking duration according to the comparison result between the actual embrosin purity and the standard embrosin purity range includes for the case where the actual embrosin purity is within the standard embrosin purity range, determining that there is no need to adjust the initial soaking duration; for the case where the actual embrosin purity is less than the minimum value of the standard embrosin purity range, determining to increase the initial soaking duration according to the difference between the minimum value of the standard embrosin purity range and the actual embrosin purity; for the case where the actual embrosin purity is greater than the maximum value of the standard embrosin purity range, determining to analyze the purity relationship change curve between the separation duration and the initial soaking duration.

10. The adzuki bean embryosin extraction method based on the Internet of Things according to claim 9, wherein The process of determining and analyzing the purity relationship change curve between the separation duration and the initial soaking duration includes if the purity relationship change curve shows that there is no corresponding relationship between the separation duration and the initial soaking duration, determining to reduce the initial soaking duration according to the difference between the actual embrosin purity and the maximum value of the standard embrosin purity range; if the purity relationship change curve shows that there is a corresponding relationship between the separation duration and the initial soaking duration, determining to reduce the separation duration according to the difference between the actual embrosin purity and the maximum value of the standard embrosin purity range.

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