Preparation method of rehmannia traditional Chinese medicine decoction pieces based on data monitoring

Abstract

The invention relates to the field of data monitoring, in particular to a radix rehmanniae traditional Chinese medicine decoction piece preparation method based on data monitoring, radix rehmanniae is subjected to pretreatment operation to obtain a radix rehmanniae slice pile, and the pretreatment operation comprises cleaning, infiltration and slicing; determining a water content deviation value of the rehmannia slices in the rehmannia slice pile, and determining a water diffusion characterization value of the rehmannia slice pile in combination with the thickness of the rehmannia slices in the rehmannia slice pile so as to divide water diffusion categories of the rehmannia slice pile; the radix rehmanniae slice piles are placed in the herbal medicine roaster which is heated in advance, the stir-frying of the radix rehmanniae slice piles is adaptively monitored and adjusted according to the moisture diffusion category, the whole stir-frying quality of the radix rehmanniae decoction pieces can be improved, the stir-frying efficiency of the radix rehmanniae decoction pieces is improved, and meanwhile the quality stability of the stir-fried radix rehmanniae decoction pieces is guaranteed.

Description

Technical Field

[0001] The invention relates to the field of data monitoring, and in particular to a method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring. Background Art

[0002] As a commonly used Chinese medicinal material, Rehmannia root is widely used in clinical TCM. It has the effects of clearing heat and cooling blood, nourishing yin and replenishing blood. Rehmannia root needs to be made into Chinese medicinal slices before it can be better used in clinical practice. The processing process plays a decisive role in the quality of the slices. Among them, frying is the key link in the processing of Rehmannia root. The traditional frying method of Rehmannia root mainly relies on manual operation by experienced pharmacists, and the degree of frying is judged by observing intuitive characteristics such as color and texture. However, this method has obvious disadvantages. Different pharmacists have different operating methods and judgment standards, resulting in uneven quality of Rehmannia root slices, and it is difficult to ensure the uniformity and stability of Rehmannia root slices.

[0003] With the development of modern science and technology, data monitoring technology has been widely used in various industries and achieved good results. In the fields of chemical production, through real-time monitoring and precise control of key parameters in the production process, effective improvement of product quality and standardization of production process can be achieved;

[0004] Therefore, introducing data monitoring technology into the frying process of Rehmannia glutinosa Chinese herbal medicine slices can not only control the key parameters in the frying process, but also detect the characteristics of Rehmannia glutinosa slices before frying, comprehensively solve the drawbacks of traditional frying methods, and achieve precise management of the entire frying process, thereby improving the quality stability of Rehmannia glutinosa Chinese herbal medicine slices, ensuring the reliable effect of its medicinal efficacy, and meeting the needs of modern Chinese medicine industry for standardized and normalized production.

[0005] Chinese patent application publication number: CN115561410A, discloses a method for comprehensively controlling the quality of fried black bean products and its application, belonging to the technical field of traditional Chinese medicine and natural medicine. The invention utilizes the advanced nature of drum-type frying equipment, organically combines the traditional slow-cooking process with the modular control of the equipment, and fully verifies the determined parameters, solving the defect of uneven quality of hand-fried black bean products; at the same time, washing and steaming steps are added in the purification process, solving the defect that the fried black beans are hard and not crispy. Using thin-layer chromatography technology, the existing thin-layer qualitative method of Chinese medicinal material black beans is improved, and a thin-layer qualitative method of fried black beans is established; using high-performance liquid chromatography technology, a new quantitative control method of the index components soybean glycoside and genistein is established. This method is not only suitable for comprehensive quality monitoring of fried black beans in industrial production, but also provides safe and effective guarantees for the clinical use of prescriptions containing fried black beans and Chinese patent medicine preparations.

[0006] However, there are still the following problems in the prior art:

[0007] The evaluation of abnormalities in the frying process of Rehmannia slices and the corresponding frying effect mainly relies on the subjective judgment of relevant operators. It is impossible to conduct efficient evaluation based on the actual and accurate characteristic changes in the frying process, which affects the stability of the quality of Rehmannia slices. Summary of the invention

[0008] To this end, the present invention provides a method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring, so as to overcome the problem in the prior art that the abnormalities in the frying process of Rehmannia glutinosa slices and the corresponding evaluation of the frying effect mainly rely on the subjective judgment of relevant operators, and cannot perform efficient evaluation based on the actual and accurate characteristic changes in the frying process, thus affecting the stability of the quality of the Rehmannia glutinosa slices.

[0009] To achieve the above object, the present invention provides a method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring, which comprises:

[0010] Step S1, performing a pretreatment operation on Rehmannia root to obtain a Rehmannia root slice pile, wherein the pretreatment operation includes washing, infiltrating and slicing;

[0011] Step S2, determining the water content deviation value of the Rehmannia slices in the Rehmannia slice pile, and determining the water diffusion characterization value of the Rehmannia slice pile in combination with the thickness of the Rehmannia slices in the Rehmannia slice pile, so as to classify the water diffusion category of the Rehmannia slice pile;

[0012] Step S3, placing the Rehmannia slices pile in a pre-heated medicine frying machine, and monitoring and adjusting the frying of the Rehmannia slices pile according to the water diffusion category, including:

[0013] Acquire the smoke characteristics inside the medicine frying machine, and analyze the frying state characterization parameters of the Rehmannia slice pile during the frying process in combination with the vibration frequency of the side wall of the medicine frying machine, so as to evaluate whether to suspend the frying of the Rehmannia slice pile;

[0014] Taking out the Rehmannia slice pile, obtaining a thermal infrared image of the Rehmannia slice pile to determine the uniform heating characteristics of the surface of the Rehmannia slice pile, selecting abnormal Rehmannia slices, detecting the hardness of the abnormal Rehmannia slices, evaluating whether the abnormal Rehmannia slices meet the frying standard, and determining whether to perform secondary frying on the abnormal Rehmannia slices;

[0015] Or, the frying of the Rehmannia root slices is completed within a predetermined frying time;

[0016] Step S4, sealing and storing the fried Rehmannia root slices;

[0017] The smoke characteristics include the smoke accumulation area and the corresponding smoke concentration.

[0018] Further, the process of determining the water content deviation value of the Rehmannia root slices in the Rehmannia root slice pile includes:

[0019] Sampling the Rehmannia root slice pile and testing the first quality of the sampled samples;

[0020] Obtaining a second mass of the sample before being placed inside the medicine frying machine;

[0021] The difference between the first mass and the second mass is used as the moisture content deviation value.

[0022] Further, the process of determining the water diffusion characterization value of the Rehmannia root slice pile includes:

[0023] Obtaining thickness data of a Rehmannia root slice stack;

[0024] Retrieving the maximum thickness and the minimum thickness in the thickness data to calculate the thickness difference between the maximum thickness and the minimum thickness;

[0025] The ratio of the moisture content deviation value to the moisture content deviation threshold is used as the first moisture diffusion feature;

[0026] using the thickness difference and the thickness difference threshold as a second moisture diffusion feature;

[0027] The sum of the first moisture diffusion characteristic and the second moisture diffusion characteristic is used as the moisture diffusion characterization value.

[0028] Further, the water diffusion categories of the Rehmannia root slice pile are divided into:

[0029] If the water diffusion characterization value of the Rehmannia root slice pile is less than the water diffusion characterization threshold, the Rehmannia root slice pile is classified as a normal water diffusion category;

[0030] If the water diffusion characterization value of the Rehmannia root slice pile is greater than or equal to the water diffusion characterization threshold, the Rehmannia root slice pile is classified into a water diffusion abnormality category.

[0031] Further, the frying of the Rehmannia root slices pile is monitored and adjusted, including:

[0032] If the category of the Rehmannia slice pile is the category of abnormal moisture diffusion, then the smoke characteristics inside the medicine frying machine are obtained, and the frying state characterization parameters of the Rehmannia slice pile during the frying process are analyzed in combination with the vibration frequency of the side wall of the medicine frying machine to evaluate whether to suspend the frying of the Rehmannia slice pile;

[0033] Taking out the Rehmannia slice pile, obtaining a thermal infrared image of the Rehmannia slice pile to determine the uniform heating characteristics of the surface of the Rehmannia slice pile, selecting abnormal Rehmannia slices, detecting the hardness of the abnormal Rehmannia slices, evaluating whether the abnormal Rehmannia slices meet the frying standard, and determining whether to perform secondary frying on the abnormal Rehmannia slices;

[0034] If the category of the Rehmannia root slice pile is the normal water diffusion category, the frying of the Rehmannia root slice pile is completed within the predetermined frying time.

[0035] Further, the process of analyzing the frying state characterization parameters of the Rehmannia slice pile during the frying process includes:

[0036] The ratio of the smoke accumulation area to the smoke accumulation area threshold value and the ratio of the smoke concentration to the smoke concentration threshold value are used as the first frying state feature;

[0037] The ratio of the vibration frequency of the side wall of the medicine frying machine to the vibration frequency threshold is used as the second frying state feature;

[0038] A weighted sum of the first frying state feature and the second frying state feature is taken as the frying state characterization parameter.

[0039] Further, evaluating whether to suspend the frying of the Rehmannia root slice pile includes:

[0040] If the parameter representing the frying state of the pile of Rehmannia slices is greater than or equal to the threshold value of the parameter representing the frying state, it is evaluated that the frying of the pile of Rehmannia slices is suspended.

[0041] Furthermore, the process of selecting abnormal Rehmannia root slices includes:

[0042] Determine the surface temperature of the Rehmannia root slice pile based on the thermal infrared image;

[0043] If the surface temperature difference of any Rehmannia slice in the Rehmannia slice pile is greater than the temperature difference threshold, the Rehmannia slice is accumulated as the abnormal Rehmannia slice.

[0044] Further, evaluating whether the abnormal Rehmannia root slices meet the frying standard includes:

[0045] Performing sampling hardness test on the abnormal Rehmannia root slices;

[0046] If the hardness of the extracted Rehmannia slices is less than the hardness threshold, the abnormal Rehmannia slices are evaluated as not meeting the frying standard.

[0047] Further, determining whether to perform secondary frying on the abnormal Rehmannia root slices comprises:

[0048] If the abnormal Rehmannia root slices do not meet the frying standard, it is determined that the abnormal Rehmannia root slices are to be fried a second time.

[0049] Compared with the prior art, the present invention performs a pretreatment operation on Rehmannia root to obtain a Rehmannia root slice pile, wherein the pretreatment operation includes washing, infiltration and slicing; determining the water content deviation value of the Rehmannia root slices in the Rehmannia root slice pile, and determining the water diffusion characterization value of the Rehmannia root slice pile in combination with the thickness of the Rehmannia root slices in the Rehmannia root slice pile to classify the water diffusion category of the Rehmannia root slice pile; placing the Rehmannia root slice pile in a preheated medicine frying machine, and adaptively monitoring and adjusting the frying of the Rehmannia root slice pile according to the water diffusion category. The present invention can improve the overall frying quality of Rehmannia root slices, and while improving the frying efficiency of the Rehmannia root slices, ensure the quality stability of the Rehmannia root slices after frying.

[0050] In particular, the present invention determines the water diffusion characterization value of the Rehmannia slice pile according to the water content deviation value and thickness difference value of the Rehmannia slices in the Rehmannia slice pile. In actual situations, the high water content of the Rehmannia slices will make the Rehmannia slices easily stick together during the frying process, affecting the uniformity of the frying and causing uneven heating of some Rehmannia slices. At the same time, excessive water during the frying process will affect the transformation and precipitation of Rehmannia components and reduce the medicinal effect of Rehmannia. Under the same frying environment, when the thickness of the Rehmannia slices differs too much, the thinner Rehmannia slices exceed the ideal frying degree and become burnt. For example, the thicker Rehmannia slices may not be fried yet and still have more water inside, resulting in the problem of being undercooked. In addition, due to different heating conditions, the conversion degree of the effective ingredients in Rehmannia slices of different thicknesses will be different. Therefore, based on the above situation, the present invention characterizes the abnormal degree of water diffusion of the Rehmannia slice pile before frying through the water diffusion characterization value, and provides data support for the subsequent classification of the water diffusion category of the Rehmannia slice pile. The present invention can improve the overall frying quality of Rehmannia slices, and at the same time improve the frying efficiency of Rehmannia slices, ensure the quality stability of Rehmannia slices after frying.

[0051] In particular, the present invention considers the smoke characteristics during the frying process and combines the vibration frequency of the side wall of the medicine frying machine to analyze the frying state characterization parameters. During the frying process of the Rehmannia slice pile, smoke accumulates inside the medicine frying machine, which will hinder the efficiency of heat transfer to a certain extent, so that the heat cannot be evenly transferred to various parts of the Rehmannia slices, which easily leads to uneven heating of the Rehmannia. The local smoke accumulation area and smoke concentration can reflect the presence or absence of local overheating inside the medicine frying machine to a certain extent; the vibration frequency of the side wall of the medicine frying machine can reflect the frying situation of the Rehmannia slices to a certain extent, and then reflect the impact on the frying effect. Therefore, the present invention characterizes the degree of frying effect of the Rehmannia slice pile during the frying process through the frying state characterization parameters, can provide accurate control basis for the frying process, and provide data support for evaluating whether to suspend frying. The present invention can improve the overall frying quality of Rehmannia slices, and while improving the frying efficiency of Rehmannia slices, ensure the quality stability of Rehmannia slices after frying.

[0052] In particular, the present invention comprehensively evaluates the degree of completion of the frying of the Rehmannia slice pile based on the uniform heating and hardness of the Rehmannia slice surface. In actual situations, the surface of the Rehmannia slice is evenly heated without obvious burnt spots or core growth, and the overall color and texture are relatively consistent, indicating that the frying of the Rehmannia slices has reached a relatively suitable state in terms of heat transfer. On the contrary, some areas on the surface of the Rehmannia slice are darker in color, while some areas are lighter in color, indicating that the frying has failed to make each part of the Rehmannia slice reach a suitable degree of frying. Furthermore, by performing hardness testing on the unevenly heated Rehmannia slices to reflect the degree of water evaporation and component conversion inside the Rehmannia slices, the frying effect of the Rehmannia slice pile is comprehensively and accurately evaluated. The present invention can improve the overall frying quality of the Rehmannia slices, and while improving the frying efficiency of the Rehmannia slices, ensure the quality stability of the Rehmannia slices after frying. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 A schematic diagram of the steps of a method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to an embodiment of the invention;

[0054] Figure 2 A logical decision diagram for classifying the water diffusion categories of a pile of Rehmannia root slices according to an embodiment of the invention;

[0055] Figure 3 A logic decision diagram for evaluating whether to suspend the frying of a pile of Rehmannia slices according to an embodiment of the invention;

[0056] Figure 4 This is a logical decision diagram for evaluating whether abnormal Rehmannia root slices meet the frying standards according to an embodiment of the invention. DETAILED DESCRIPTION

[0057] 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 only used to explain the present invention and are not used to limit the present invention.

[0058] 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 protection scope of the present invention.

[0059] It should be noted that, in the description of the present invention, the terms such as “inside” and the like indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is merely 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.

[0060] See also Figure 1 As shown, it is a schematic diagram of the steps of the method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to an embodiment of the present invention. The method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to an embodiment of the present invention comprises:

[0061] Step S1, performing a pretreatment operation on Rehmannia root to obtain a Rehmannia root slice pile, wherein the pretreatment operation includes washing, infiltrating and slicing;

[0062] Step S2, determining the water content deviation value of the Rehmannia slices in the Rehmannia slice pile, and determining the water diffusion characterization value of the Rehmannia slice pile in combination with the thickness of the Rehmannia slices in the Rehmannia slice pile, so as to classify the water diffusion category of the Rehmannia slice pile;

[0063] Step S3, placing the Rehmannia slices pile in a pre-heated medicine frying machine, and monitoring and adjusting the frying of the Rehmannia slices pile according to the water diffusion category, including:

[0064] Acquire the smoke characteristics inside the medicine frying machine, and analyze the frying state characterization parameters of the Rehmannia slice pile during the frying process in combination with the vibration frequency of the side wall of the medicine frying machine, so as to evaluate whether to suspend the frying of the Rehmannia slice pile;

[0065] Taking out the Rehmannia slice pile, obtaining a thermal infrared image of the Rehmannia slice pile to determine the uniform heating characteristics of the surface of the Rehmannia slice pile, selecting abnormal Rehmannia slices, detecting the hardness of the abnormal Rehmannia slices, evaluating whether the abnormal Rehmannia slices meet the frying standard, and determining whether to perform secondary frying on the abnormal Rehmannia slices;

[0066] Or, the frying of the Rehmannia root slices is completed within a predetermined frying time;

[0067] Step S4, sealing and storing the fried Rehmannia root slices;

[0068] The smoke characteristics include the smoke accumulation area and the corresponding smoke concentration.

[0069] It is understandable that, while waiting for the medicine frying machine to heat up to the frying temperature, the pile of Rehmannia slices needs to be placed for a certain period of time. During this process, the moisture content of the Rehmannia slices pile will change under the influence of factors such as the humidity of the placement environment. For example, if the environment in which the Rehmannia slice pile is placed is relatively dry, then the moisture content of the Rehmannia slices will decrease due to the evaporation of water caused by drying. Therefore, the present application detects the moisture content of the Rehmannia slices in the pile of Rehmannia slices obtained after the pretreatment operation, and after the medicine frying machine is heated up, the moisture content of the Rehmannia slices in the pile of Rehmannia slices is detected again before the Rehmannia slices are placed inside the medicine frying machine, and the difference is solved as the moisture content deviation value, which will not be repeated here.

[0070] Specifically, there is no specific limitation on the method for detecting the water content of Rehmannia slices. It can be done by pre-collecting near-infrared spectra of a large number of Rehmannia slice samples with known water content, establishing a correction model between near-infrared spectral data and water content, collecting near-infrared spectra of the Rehmannia slices to be tested, and inputting them into the established model to obtain the water content of the Rehmannia slices to be tested. Of course, other detection methods can also be used, which will not be elaborated here.

[0071] Specifically, there is no specific limitation on the detection method of the thickness of the Rehmannia slice. It can be measured by an inductive thickness sensor. The slice is passed at a uniform speed under the sensor. The inductive thickness sensor can measure the thickness of the slice in real time. Using the principle of electromagnetic induction, when the Rehmannia slice is close to the coil of the sensor, it will cause the inductance of the coil to change. The thickness of the Rehmannia slice is calculated by measuring the change in inductance. Of course, other methods of detecting the thickness of the Rehmannia slice can also be used, which will not be repeated here.

[0072] Specifically, with regard to the selection of the heating temperature of the medicine frying machine, technicians in this field can select an appropriate heating temperature for the medicine frying machine according to different types of preparations. For example, when frying Rehmannia glutinosa charcoal, the temperature of the medicine frying machine is usually controlled at 380°C-400°C. Similarly, technicians in this field can also determine the predetermined frying time of Rehmannia glutinosa slices according to different types of preparations. For example, for Rehmannia glutinosa charcoal, it can be fried at a temperature of 390°C for 16min-20min to obtain Rehmannia glutinosa charcoal, which will not be repeated here.

[0073] Specifically, there is no specific limitation on the method of obtaining smoke characteristics. In some possible implementations, a number of smoke sensors are installed at different positions inside the medicine frying machine. Based on the data collected and fed back by the smoke sensors, a smoke concentration distribution map inside the medicine frying machine is drawn to understand the accumulation of smoke at various positions inside the medicine frying machine. The boundaries of the smoke areas in the smoke concentration distribution map are identified and outlined, and the smoke accumulation area is determined through image analysis tools, such as MATLAB, which uses image filtering, edge detection, regional growing and other algorithms to accurately identify smoke areas and calculate their areas.

[0074] Specifically, there is no specific limitation on the detection method of the vibration frequency of the side wall of the medicine frying machine. Those skilled in the art can implement it according to any existing technology that can detect the vibration frequency, which will not be elaborated here.

[0075] Specifically, there is no specific limitation on the method for detecting the hardness of the Rehmannia slices. The acoustic detection method can be used to detect the hardness of the Rehmannia slices by using the relationship between the propagation characteristics of sound in the Rehmannia slices and the hardness. For example, the Rehmannia slices with higher hardness have a relatively loose internal structure, and when the sound propagates therein, the speed will be slower, and the sound attenuation will be more obvious; while the Rehmannia slices with lower hardness have a tighter internal texture, and when the sound propagates therein, the speed will be faster, and the sound attenuation will be relatively small;

[0076] Using acoustic detection equipment, for example, an ultrasonic detector, the ultrasonic probe is brought into close contact with the surface of the Rehmannia slice, an ultrasonic signal is emitted to the Rehmannia slice, and the signal reflected from the other side of the Rehmannia slice is received. By analyzing parameters such as the propagation speed and amplitude attenuation of the ultrasonic wave in the Rehmannia slice, a corresponding relationship with the hardness of the Rehmannia slice is established, thereby evaluating its hardness. This will not be elaborated here.

[0077] It is understandable that the fried Rehmannia root, for example, Rehmannia charcoal, has strong hygroscopicity and is easily affected by moisture and deteriorates. Therefore, the Rehmannia root slices should be stacked in appropriate containers, such as cartons with a moisture-proof coating on the surface, or plastic barrels with good moisture-proof and insect-proof properties, and the containers with Rehmannia root slices should be placed in a dry and cool place with good ventilation and reduced direct sunlight and high temperature, for example, in a warehouse without direct sunlight or with shading facilities. This will not be repeated here.

[0078] Specifically, the process of determining the water content deviation value of the Rehmannia root slices in the Rehmannia root slice pile includes:

[0079] Sampling the Rehmannia root slice pile and testing the first quality of the sampled samples;

[0080] Obtaining a second mass of the sample before being placed inside the medicine frying machine;

[0081] The difference between the first mass and the second mass is used as the moisture content deviation value.

[0082] Specifically, the process of determining the water diffusion characterization value of the Rehmannia root slice pile includes:

[0083] Obtaining thickness data of a Rehmannia root slice stack;

[0084] Retrieving the maximum thickness and the minimum thickness in the thickness data to calculate the thickness difference between the maximum thickness and the minimum thickness;

[0085] The ratio of the moisture content deviation value to the moisture content deviation threshold is used as the first moisture diffusion feature;

[0086] using the thickness difference and the thickness difference threshold as a second moisture diffusion feature;

[0087] The sum of the first moisture diffusion characteristic and the second moisture diffusion characteristic is used as the moisture diffusion characterization value.

[0088] In this embodiment, the purpose of setting the moisture content deviation threshold and the thickness difference threshold is to characterize the abnormal water diffusion of the Rehmannia slice pile before frying. By calling the relevant historical records of completing the frying process of the Rehmannia slice pile several times, the moisture content deviation value historical data and the thickness difference value historical data are called, and the moisture content deviation mean and the thickness difference mean are solved. Based on the purpose of setting the moisture content deviation threshold and the thickness difference threshold, the moisture content deviation threshold is set to the product of the moisture content deviation mean and the first deviation coefficient, and the thickness difference threshold is set to the product of the thickness difference mean and the second deviation coefficient, wherein the first deviation coefficient is selected in the interval [1.05, 1.08], and the second deviation coefficient is selected in the interval [1.05, 1.1].

[0089] Specifically, the present invention determines the water diffusion characterization value of the Rehmannia slice pile according to the water content deviation value and thickness difference value of the Rehmannia slices in the Rehmannia slice pile. In actual situations, Rehmannia will fully absorb water during the infiltration process, so that Rehmannia softens and is convenient for subsequent slicing operations. Therefore, the water content of the Rehmannia slices after infiltration will increase significantly. During the time waiting for the medicine frying machine to heat up to the frying temperature, the Rehmannia slices will be placed in the placement process due to factors such as the humidity of the environment in which they are placed, and the water content of the Rehmannia slices will change accordingly. If the difference between the water content of the Rehmannia slices sliced ​​after infiltration and the water content before being placed in the medicine frying machine is large, it means that the initial water content of the Rehmannia slices after infiltration is high. After placement, the remaining water is still high. The high water content will make the Rehmannia slices prone to adhesion during the frying process, affecting the uniformity of stir-frying, resulting in uneven heating of some Rehmannia slices. At the same time, excessive water during the stir-frying process will affect the transformation and precipitation of Rehmannia components, reducing the medicinal effect of Rehmannia.

[0090] Under the same frying environment, when the thickness of Rehmannia slices varies greatly, the thinner Rehmannia slices exceed the ideal frying degree and become burnt, while the thicker Rehmannia slices may not be fried well and still have more moisture inside, resulting in the problem of being undercooked. In addition, due to different heating conditions, the conversion degree of the effective ingredients in Rehmannia slices of different thicknesses will also be different. For example, the effective ingredients in the thinner Rehmannia slices may be over-converted or even destroyed due to excessive heating and high temperature; while the effective ingredients in the thicker Rehmannia slices may not be fully converted due to insufficient heating, which affects the medicinal effect of Rehmannia.

[0091] Therefore, based on the above situation, the present invention uses the moisture diffusion characterization value to characterize the abnormal degree of moisture diffusion of the Rehmannia slice pile before frying, and provides data support for the subsequent classification of the moisture diffusion category of the Rehmannia slice pile. The present invention can improve the overall frying quality of Rehmannia slices, and while improving the frying efficiency of Rehmannia slices, ensure the quality stability of Rehmannia slices after frying.

[0092] Specifically, see Figure 2 As shown, it is a logical decision diagram for classifying the water diffusion categories of the Rehmannia slice pile according to an embodiment of the present invention. The water diffusion categories of the Rehmannia slice pile are classified, including:

[0093] If the water diffusion characterization value of the Rehmannia root slice pile is less than the water diffusion characterization threshold, the Rehmannia root slice pile is classified as a normal water diffusion category;

[0094] If the water diffusion characterization value of the Rehmannia root slice pile is greater than or equal to the water diffusion characterization threshold, the Rehmannia root slice pile is classified into a water diffusion abnormality category.

[0095] The moisture diffusion characterization threshold is selected in the interval [2.16, 2.24].

[0096] Specifically, the frying of the Rehmannia root slice pile is monitored and adjusted, including:

[0097] If the category of the Rehmannia slice pile is the category of abnormal moisture diffusion, then the smoke characteristics inside the medicine frying machine are obtained, and the frying state characterization parameters of the Rehmannia slice pile during the frying process are analyzed in combination with the vibration frequency of the side wall of the medicine frying machine to evaluate whether to suspend the frying of the Rehmannia slice pile;

[0098] Taking out the Rehmannia slice pile, obtaining a thermal infrared image of the Rehmannia slice pile to determine the uniform heating characteristics of the surface of the Rehmannia slice pile, selecting abnormal Rehmannia slices, detecting the hardness of the abnormal Rehmannia slices, evaluating whether the abnormal Rehmannia slices meet the frying standard, and determining whether to perform secondary frying on the abnormal Rehmannia slices;

[0099] If the category of the Rehmannia root slice pile is the normal water diffusion category, the frying of the Rehmannia root slice pile is completed within the predetermined frying time.

[0100] In this embodiment, the stack of taken-out Rehmannia slices is firstly flattened to avoid overlapping of the Rehmannia slices, which would affect the acquisition of subsequent uniform surface heating characteristics of the Rehmannia slices.

[0101] Specifically, the process of analyzing the parameters characterizing the frying state of the Rehmannia root slice pile during the frying process includes:

[0102] The ratio of the smoke accumulation area to the smoke accumulation area threshold value and the ratio of the smoke concentration to the smoke concentration threshold value are used as the first frying state feature;

[0103] The ratio of the vibration frequency of the side wall of the medicine frying machine to the vibration frequency threshold is used as the second frying state feature;

[0104] A weighted sum of the first frying state feature and the second frying state feature is taken as the frying state characterization parameter.

[0105] In actual frying, the smoke characteristics inside the frying machine can better reflect the frying effect of the Rehmannia slices. In implementation, the smoke characteristics are given priority, that is, the frying effect reflected by the smoke accumulation area inside the frying machine and the corresponding smoke concentration. Therefore, a slightly higher weight is given to the first frying state feature calculated based on the smoke characteristics. Therefore, when performing weighted summation, the weight of the first frying state feature is set to 0.6, and the weight of the second frying state feature is set to 0.4;

[0106] The purpose of setting the smoke accumulation area threshold and the smoke concentration threshold is to characterize the situation that heat transfer is blocked, the heating uniformity of Rehmannia is low, and the frying effect is poor during the frying process of Rehmannia. The purpose of setting the vibration frequency threshold of the side wall of the frying machine is to characterize the situation that the frying is uneven and the frying effect is poor.

[0107] By calling relevant historical records of completing the stacking and frying process of Rehmannia root slices for several times, calling historical data of smoke accumulation area and historical data of smoke concentration, solving the mean value of smoke accumulation area and the mean value of smoke concentration, based on the purpose of setting the smoke accumulation area threshold and the smoke concentration threshold, the smoke accumulation area threshold is determined as the product of the smoke accumulation area mean and the area deviation coefficient, and the smoke concentration threshold is determined as the product of the smoke concentration mean and the concentration deviation coefficient, wherein the area deviation coefficient is selected within the interval [1.05, 1.15], and the concentration deviation coefficient is selected within the interval [1.1, 1.15];

[0108] Similarly, the vibration frequency historical data is called to solve the vibration frequency mean, and for the purpose of setting the vibration frequency threshold, the vibration frequency threshold is determined as the product of the vibration frequency mean and the frequency deviation coefficient, wherein the frequency deviation coefficient is selected within the interval [1.2, 1.25].

[0109] Specifically, the present invention considers the characteristics of the smoke during the frying process and combines the vibration frequency of the side wall of the medicine frying machine to analyze the parameters characterizing the frying state. In the frying process of the Rehmannia slice pile, in addition to certain volatile components of the Rehmannia itself, the friction between the Rehmannia slices and between the Rehmannia slices and the components of the medicine frying machine causes the Rehmannia to produce more fine powders. After these powders are mixed with hot air, smoke is formed. The smoke accumulates inside the medicine frying machine, which will hinder the efficiency of heat transfer to a certain extent, so that the heat cannot be evenly transferred to various parts of the Rehmannia slices, which is easy to cause uneven heating of the Rehmannia, overheating of some areas and insufficient heating of some areas, affecting the uniformity of frying. The local smoke accumulation area and smoke concentration can reflect the existence of local overheating inside the medicine frying machine to a certain extent.

[0110] At the same time, the vibration frequency of the side wall of the stir-frying machine can reflect the stir-frying condition of the Rehmannia slices to a certain extent. Under normal circumstances, uniform stir-frying will make the stir-frying machine produce a relatively stable vibration frequency, while abnormal vibration frequency may mean that there is uneven stir-frying of the Rehmannia slices during the stir-frying process, such as accumulation and adhesion in some areas, which affects the stir-frying effect;

[0111] Therefore, the present invention characterizes the degree of frying effect of the Rehmannia slice pile during the frying process through frying state characterization parameters, can provide accurate control basis for the frying process, and provide data support for evaluating whether to suspend frying. The present invention can improve the overall frying quality of Rehmannia slices, while improving the frying efficiency of Rehmannia slices, ensure the quality stability of Rehmannia slices after frying.

[0112] Specifically, see Figure 3 As shown, it is a logical decision diagram for evaluating whether to suspend the frying of the Rehmannia slice pile according to an embodiment of the present invention. The evaluation of whether to suspend the frying of the Rehmannia slice pile includes:

[0113] If the parameter representing the frying state of the pile of Rehmannia slices is greater than or equal to the threshold value of the parameter representing the frying state, it is evaluated that the frying of the pile of Rehmannia slices is suspended;

[0114] If the parameter representing the frying state of the pile of Rehmannia slices is less than the threshold value of the parameter representing the frying state, it is evaluated that there is no need to suspend the frying of the pile of Rehmannia slices.

[0115] The threshold of the parameter characterizing the frying state is selected in the interval [1.74, 1.82].

[0116] Specifically, the process of selecting abnormal Rehmannia slices includes:

[0117] Determine the surface temperature of the Rehmannia root slice pile based on the thermal infrared image;

[0118] If the surface temperature difference of any Rehmannia slice in the Rehmannia slice pile is greater than the temperature difference threshold, the Rehmannia slice is accumulated as the abnormal Rehmannia slice.

[0119] It can be understood that the temperature distribution on the surface of the Rehmannia slice can reflect the uniform heating degree of the surface of the Rehmannia slice. If the Rehmannia slice is heated uniformly, the temperature values ​​of various regions on the surface of the Rehmannia slice are similar, that is, the temperature readings of various regions on the surface of the Rehmannia slice are less different. For example, in the temperature display values ​​of the infrared thermal imager, the temperature readings of most regions are concentrated in a narrow range, and generally fluctuate no more than 2°C-3°C. Therefore, in this embodiment, the temperature difference threshold is selected within [2.2, 2.7].

[0120] Specifically, see Figure 4 As shown, it is a logical decision diagram for evaluating whether abnormal Rehmannia slices meet the frying standard according to an embodiment of the present invention. The evaluation of whether the abnormal Rehmannia slices meet the frying standard includes:

[0121] Performing sampling hardness test on the abnormal Rehmannia root slices;

[0122] If the hardness of the extracted Rehmannia slice is less than the hardness threshold, the abnormal Rehmannia slice is evaluated as not meeting the stir-frying standard;

[0123] If the hardness of the extracted Rehmannia slices is greater than or equal to the hardness threshold, the abnormal Rehmannia slices are evaluated as meeting the frying standard.

[0124] In this embodiment, the purpose of setting the hardness threshold is to characterize the situation where the water evaporation and component conversion of the fried Rehmannia slices are better. By obtaining relevant historical records of several completed Rehmannia slice pile frying processes, calling the hardness historical data, and solving the hardness mean, based on the purpose of setting the hardness threshold, the hardness threshold is determined as the product of the hardness mean and the hardness deviation coefficient, wherein the hardness deviation coefficient is selected within the interval [1.02, 1.05].

[0125] Specifically, determining whether to perform secondary frying on the abnormal Rehmannia root slices includes:

[0126] If the abnormal Rehmannia root slices do not meet the frying standard, it is determined that the abnormal Rehmannia root slices are to be fried a second time.

[0127] It can be understood that the purpose of secondary frying of abnormal Rehmannia slices is to ensure that the abnormal Rehmannia slices that do not meet the frying standards are heated evenly, and the degree of water evaporation and component conversion reaches an appropriate state, rather than frying the abnormal Rehmannia slices again according to the original process indicators. The frying temperature and frying time of the secondary frying can be flexibly and adaptively adjusted according to the changes in the color of the Rehmannia surface during the frying process detected in real time, which will not be elaborated here.

[0128] Specifically, the present invention comprehensively evaluates the degree of completion of the frying of the Rehmannia slice pile according to the uniform heating and hardness of the surface of the Rehmannia slices. In actual situations, the surface of the Rehmannia slices is evenly heated without obvious burnt spots or core formation, and the overall color and texture are relatively consistent, indicating that the frying of the Rehmannia slices has reached a relatively suitable state in terms of heat transfer. Conversely, some areas on the surface of the Rehmannia slices are darker in color, while some areas are lighter in color, indicating that the frying has failed to make each part of the Rehmannia slice reach a suitable degree of frying. Furthermore, by performing hardness testing on the unevenly heated Rehmannia slices to reflect the degree of water evaporation and component conversion inside the Rehmannia slices, the frying effect of the Rehmannia slice pile is comprehensively and accurately evaluated. The present invention can improve the overall frying quality of the Rehmannia slices, and while improving the frying efficiency of the Rehmannia slices, ensure the quality stability of the Rehmannia slices after frying.

[0129] If the data monitoring-based preparation method of Rehmannia glutinosa Chinese medicinal slices of the present invention is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention, and the aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0130] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand 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.

Claims

1. A method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring, characterized in that: include: Step S1, performing a pretreatment operation on Rehmannia root to obtain a Rehmannia root slice pile, wherein the pretreatment operation includes washing, infiltrating and slicing; Step S2, determining the water content deviation value of the Rehmannia slices in the Rehmannia slice pile, and determining the water diffusion characterization value of the Rehmannia slice pile in combination with the thickness of the Rehmannia slices in the Rehmannia slice pile, so as to classify the water diffusion category of the Rehmannia slice pile; Step S3, placing the Rehmannia slices pile in a pre-heated medicine frying machine, and monitoring and adjusting the frying of the Rehmannia slices pile according to the water diffusion category, including: Acquire the smoke characteristics inside the medicine frying machine, and analyze the frying state characterization parameters of the Rehmannia slice pile during the frying process in combination with the vibration frequency of the side wall of the medicine frying machine, so as to evaluate whether to suspend the frying of the Rehmannia slice pile; Taking out the Rehmannia slice pile, obtaining a thermal infrared image of the Rehmannia slice pile to determine the uniform heating characteristics of the surface of the Rehmannia slice pile, selecting abnormal Rehmannia slices, detecting the hardness of the abnormal Rehmannia slices, evaluating whether the abnormal Rehmannia slices meet the frying standard, and determining whether to perform secondary frying on the abnormal Rehmannia slices; Or, the frying of the Rehmannia root slices is completed within a predetermined frying time; Step S4, sealing and storing the fried Rehmannia root slices; The smoke characteristics include the smoke accumulation area and the corresponding smoke concentration.

2. The method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to claim 1, characterized in that: The process of determining the water content deviation value of the Rehmannia root slices in the Rehmannia root slice pile comprises: Sampling the Rehmannia root slice pile and testing the first quality of the sampled samples; Obtaining a second mass of the sample before being placed inside the medicine frying machine; The difference between the first mass and the second mass is used as the moisture content deviation value.

3. The method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to claim 2, characterized in that: The process of determining the water diffusion characterization value of the Rehmannia root slice pile comprises: Obtaining thickness data of a Rehmannia root slice stack; Retrieving the maximum thickness and the minimum thickness in the thickness data to calculate the thickness difference between the maximum thickness and the minimum thickness; The ratio of the moisture content deviation value to the moisture content deviation threshold is used as the first moisture diffusion feature; using the thickness difference and the thickness difference threshold as a second moisture diffusion feature; The sum of the first moisture diffusion characteristic and the second moisture diffusion characteristic is used as the moisture diffusion characterization value.

4. The method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to claim 1, characterized in that: The moisture diffusion categories of the Rehmannia root slice piles are classified into, If the water diffusion characterization value of the Rehmannia root slice pile is less than the water diffusion characterization threshold, the Rehmannia root slice pile is classified as a normal water diffusion category; If the water diffusion characterization value of the Rehmannia root slice pile is greater than or equal to the water diffusion characterization threshold, the Rehmannia root slice pile is classified into a water diffusion abnormality category.

5. The method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to claim 1, characterized in that: The frying of the Rehmannia root slice pile is monitored and adjusted, including: If the category of the Rehmannia slice pile is the category of abnormal moisture diffusion, then the smoke characteristics inside the medicine frying machine are obtained, and the frying state characterization parameters of the Rehmannia slice pile during the frying process are analyzed in combination with the vibration frequency of the side wall of the medicine frying machine to evaluate whether to suspend the frying of the Rehmannia slice pile; Taking out the Rehmannia slice pile, obtaining a thermal infrared image of the Rehmannia slice pile to determine the uniform heating characteristics of the surface of the Rehmannia slice pile, selecting abnormal Rehmannia slices, detecting the hardness of the abnormal Rehmannia slices, evaluating whether the abnormal Rehmannia slices meet the frying standard, and determining whether to perform secondary frying on the abnormal Rehmannia slices; If the category of the Rehmannia root slice pile is the normal water diffusion category, the frying of the Rehmannia root slice pile is completed within the predetermined frying time.

6. The method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to claim 1, characterized in that: The process of analyzing the frying state characterization parameters of the Rehmannia root slice pile during the frying process includes: The ratio of the smoke accumulation area to the smoke accumulation area threshold value and the ratio of the smoke concentration to the smoke concentration threshold value are used as the first frying state feature; The ratio of the vibration frequency of the side wall of the medicine frying machine to the vibration frequency threshold is used as the second frying state feature; A weighted sum of the first frying state feature and the second frying state feature is taken as the frying state characterization parameter.

7. The method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to claim 1, characterized in that: Evaluate whether to suspend the frying of the Rehmannia slices, including, If the parameter representing the frying state of the pile of Rehmannia slices is greater than or equal to the threshold value of the parameter representing the frying state, it is evaluated that the frying of the pile of Rehmannia slices is suspended.

8. The method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to claim 1, characterized in that: The process of selecting abnormal Rehmannia slices includes: Determine the surface temperature of the Rehmannia root slice pile based on the thermal infrared image; If the surface temperature difference of any Rehmannia root slice in the Rehmannia root slice pile is greater than the temperature difference threshold, the Rehmannia root slice is identified as the abnormal Rehmannia root slice.

9. The method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to claim 1, characterized in that: Evaluate whether the abnormal Rehmannia root slices meet the stir-frying standards, including: Performing sampling hardness test on the abnormal Rehmannia root slices; If the hardness of the extracted Rehmannia slices is less than the hardness threshold, the abnormal Rehmannia slices are evaluated as not meeting the frying standard.

10. The method for preparing Rehmannia glutinosa Chinese medicinal slices based on data monitoring according to claim 1, characterized in that: Determining whether to perform secondary frying on the abnormal Rehmannia root slices comprises: If the abnormal Rehmannia root slices do not meet the frying standard, it is determined that the abnormal Rehmannia root slices are to be fried a second time.

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