A method and system for automatic control of production and processing of a cistanche composite health care product

Abstract

This invention discloses an automated control method and system for the production and processing of Cistanche deserticola compound health products, relating to the field of health product processing technology. It utilizes terahertz non-destructive testing equipment to examine Cistanche deserticola slices, obtaining their average effective porosity ε, thus accurately quantifying batch-to-batch differences in the natural carrier. Parameters such as liquid viscosity η and effective solute hydration radius R are collected, and a permeability coefficient set (PCS) is calculated and generated to provide an adaptive basis for subsequent permeation. Gas pressure wetting is performed sequentially according to the liquid viscosity η, and the permeation time t for the i-th liquid to be compounded is calculated. i This achieves efficient and controllable deep penetration. Finally, microwave vacuum drying is performed, using the Peckley number (PE) as the control coefficient. The microwave power (W) is adjusted in real time, and the water holding capacity (MC) is monitored until the target water holding capacity (DT) is reached, thus solving the problem of solute migration leading to stratification failure during the drying process.

Description

Technical Field

[0001] This invention relates to the field of health product processing technology, specifically to an automated control method and system for the production and processing of Cistanche deserticola compound health products. Background Technology

[0002] In industrial production, automated control is a key technology for improving process standardization and product consistency. This technology plays a crucial role in the health product manufacturing industry, particularly in the modern processing of traditional medicinal and edible materials. When the production target is a compound health product, that is, using a solid matrix material as a carrier and combining it with one or more functional ingredients, the complexity of control increases significantly. A specific application scenario is: using solid slices with specific physical structures, such as Cistanche deserticola slices, as a carrier matrix, and processing them to precisely absorb and load other compound liquid components. This product, combining the Cistanche deserticola matrix with external functional liquids, constitutes a Cistanche deserticola compound health product. Therefore, how to accurately manage this complex process involving multiple materials and multiple stages has given rise to a specific technical demand for automated control methods and systems for the production and processing of Cistanche deserticola compound health products.

[0003] However, existing automated methods for processing the aforementioned Cistanche deserticola compound health products face significant technical bottlenecks. First, traditional processing methods, such as simple mixing and soaking, cannot achieve refined and differentiated processing of various compound liquids; they lack the ability to plan different penetration strategies based on the physical properties of different compound liquids. Second, and most critically, the problem occurs in the final drying stage. When using conventional drying methods for dehydration, solute migration cannot be prevented: that is, the compound liquid components previously absorbed into the slices are carried out as water evaporates to the surface and re-aggregate on the slice surface. Furthermore, existing fixed-parameter control methods generally ignore the differences in the physical structure of the natural carrier between batches, such as variations in its average effective porosity, leading to a mismatch between the processing penetration time and the actual carrier characteristics.

[0004] The root cause of these defects lies in the lack of control logic. Solute migration during the drying process occurs because traditional control methods only target temperature or total drying time, completely ignoring the physical antagonistic relationship between the water evaporation rate and the solute diffusion rate. When the evaporation rate is made much greater than the effective diffusion rate of the solute in pursuit of speed, the abnormal effect of the solute being forcibly carried to the surface occurs, rendering previous efforts to build a layered structure completely ineffective. Simultaneously, the mismatch between processing parameters and carrier characteristics, due to the failure to consider the actual porosity of the carrier, makes it impossible to dynamically adjust subsequent steps. The final abnormal effect manifests as unstable absorption and component distribution between product batches, resulting in poor quality consistency. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an automated control method and system for the production and processing of Cistanche deserticola compound health products, which solves the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an automated control method for the production and processing of Cistanche deserticola compound health products, comprising the following steps:

[0007] S1. The slices of Cistanche deserticola to be processed are sent into the testing chamber and the structure is tested using terahertz non-destructive testing equipment to obtain the average effective porosity of the slices of Cistanche deserticola to be processed.

[0008] S2. Collect the liquid viscosity, effective hydration radius of the solute, and liquid density of the liquid to be composited using sensors, and calculate the permeability coefficient set of the liquid to be composited using the Stokes-Einstein equation.

[0009] S3. The sliced ​​Cistanche deserticola to be processed is sent into the first stage processing chamber. Pressure impregnation is performed in sequence according to the viscosity of the liquid to be compounded. The penetration time of different liquids to be compounded is calculated by combining Darcy's law.

[0010] S4. The Cistanche slices that have completed the absorption of the composite liquid are sent into the second stage processing chamber and microwave vacuum drying is performed. The maximum Peckley number in the composite liquid is used as the control coefficient. The water holding rate of the Cistanche slices is detected by a moisture sensor and the microwave power is adjusted in real time.

[0011] S5. Based on the water holding rate of the Cistanche deserticola slices and the target water holding rate for drying, the processing is considered complete when the target water holding rate for drying is reached, and the drying process is stopped.

[0012] Preferably, S1 includes S11;

[0013] S11. The slices of Cistanche deserticola to be processed are sent into the testing chamber. The structure is tested using terahertz nondestructive testing equipment. The terahertz wave signal passing through the slices is collected and recorded in real time. The collected terahertz wave signal is converted from a time domain signal to a frequency domain signal using fast Fourier transform. The average effective porosity ε of the slices is obtained by applying the effective medium theory algorithm to the transformed terahertz wave signal.

[0014] Preferably, S2 includes S21;

[0015] S21. By deploying online viscometers, gel permeation chromatographs, and online densitometers in storage tanks of different liquids to be compounded, the liquid viscosity η, effective hydration radius R, and liquid density ρ of different liquids to be compounded are collected respectively. The liquid viscosity η, effective hydration radius R, and liquid density ρ of different liquids to be compounded are integrated, and the liquid viscosity η of different liquids to be compounded is compared and sorted in descending order to obtain the liquid viscosity set LVC=[η1, η2, ..., η i , ..., η N The effective hydration radius set LRC = [R1, R2, ..., R] i , ..., R N And the set of liquid densities LDC = [ρ1, ρ2, ..., ρ i , ..., ρ N ], where i represents the i-th type of liquid to be compounded, and N represents the total number of types of liquids to be compounded.

[0016] Preferably, S2 includes S22;

[0017] S22. Based on the liquid viscosity set LVC and the effective hydration radius set LRC, the theoretical diffusion rate of the liquid to be composited is described using the Stokes-Einstein equation. The average effective porosity ε and the pore tortuosity factor τ of the processed Cistanche deserticola slices are introduced to quantify the hindering and elongating effects of the processed Cistanche deserticola slices on the diffusion path, ultimately yielding the effective diffusion coefficient Deff of the i-th type of liquid to be composited. i ;

[0018] Wherein, the effective diffusion coefficient Deff of the i-th liquid to be composited i The calculation expression is as follows:

[0019] ;

[0020] In the formula, KB represents the preset Boltzmann constant, π represents pi, T represents the preset target processing temperature according to process requirements, and τ represents the porosity tortuosity factor of the Cistanche deserticola slices to be processed.

[0021] The effective diffusion coefficients (Deff) of all the liquids to be combined are integrated to generate the permeability coefficient set (PCS) of the liquids to be combined.

[0022] Preferably, S3 includes S31;

[0023] S31. The sliced ​​Cistanche deserticola to be processed is sent to the first-stage processing chamber. Following the order in the liquid viscosity set LVC, the first composite liquid is used as the current target composite solution for stage one and subjected to gas pressure impregnation. Based on the liquid viscosity η1 of the first composite liquid and Darcy's law, the pressure permeation mass flux of the first composite liquid under the preset process requirements is calculated. Based on the target absorption mass per unit area M in the preset process requirements, the permeation time t1 of the first composite liquid is calculated. When the permeation time t1 of the first composite liquid is reached, the first composite liquid is drained. The process continues, following the order in the liquid viscosity set LVC, with the i-th composite liquid used as the new target composite liquid for stage one, subjected to gas pressure impregnation, and the permeation time t of the i-th composite liquid is calculated. i This continues until all the liquids to be compounded have completed Phase 1 processing;

[0024] The gas pressure impregnation process involves placing slices of Cistanche deserticola into a cylindrical processing tank, injecting the target composite liquid (stage one) into the tank, and then sealing it. A gas compressor then injects inert gas above the target composite liquid through a pre-set pipeline until the pressure gauge displays the target gas pressure P of the i-th type of composite liquid, meeting the preset process requirements. i .

[0025] Preferably, S3 includes S32;

[0026] S32. During gas pressure impregnation, the permeation time t of the i-th composite liquid is... i The calculation expression is as follows:

[0027] ;

[0028] In the formula, L represents the average thickness of the Cistanche deserticola slices preset according to process requirements, K represents the permeability of the Cistanche deserticola slices, and C... i This represents the mass fraction of the solute in the i-th liquid to be compounded, based on the density ρ of the i-th liquid to be compounded. i .

[0029] Preferably, S4 includes S41;

[0030] S41. Based on the permeability coefficient set PCS of the liquids to be composited, compare the effective diffusion coefficients Deff of different liquids to be composited, find the smallest effective diffusion coefficient Deff in the permeability coefficient set PCS, and mark it as the smallest effective diffusion coefficient Deff. MIN The critical evaporation rate V0 is calculated based on the Peckley number PE as the control coefficient.

[0031] The expression for calculating the critical evaporation rate V0 is as follows:

[0032] ;

[0033] In the formula, PE represents the Peckley number.

[0034] Preferably, S4 includes S42;

[0035] S42. The Cistanche deserticola slices that have completed the composite liquid absorption are sent into the third-stage processing chamber. Microwave vacuum drying is performed according to the microwave power W and vacuum degree VD set in the process requirements. The change in the water holding capacity MC of the Cistanche deserticola slices is detected using a moisture sensor, combined with the drying time t. W The real-time evaporation rate V1 is obtained. When the real-time evaporation rate V1 > the critical evaporation rate V0, the microwave power W needs to be reduced. When the real-time evaporation rate V1 < the critical evaporation rate V0, it indicates that the evaporation process is safe and the microwave power W needs to be increased linearly until the real-time evaporation rate V1 = the critical evaporation rate V0. When the real-time evaporation rate V1 = the critical evaporation rate V0, it indicates the optimal drying rate, and the current microwave power W is maintained.

[0036] Preferably, S5 includes S51;

[0037] S51. The judgment is made based on the water holding rate MC of Cistanche deserticola slices and the target water holding rate DT for drying.

[0038] When the water holding rate (MC) of the Cistanche deserticola slices is greater than the target water holding rate (DT), microwave vacuum drying is continued.

[0039] When the water holding rate (MC) of the Cistanche deserticola slices is less than or equal to the target water holding rate (DT), the drying process is complete, and the microwave vacuum drying process is stopped.

[0040] An automated control system for the production and processing of Cistanche deserticola compound health products includes a slice detection module, a liquid characteristic and permeability coefficient analysis module, a stage one permeation processing module, a stage two drying processing module, and a drying target judgment module.

[0041] The slice detection module includes a slice detection unit, which sends the slices of Cistanche deserticola to be processed into the detection chamber and performs structural detection using terahertz non-destructive testing equipment to obtain the average effective porosity of the slices.

[0042] The liquid characteristics and permeability analysis module includes a liquid characteristics analysis unit and a permeability analysis unit. The liquid characteristics analysis unit collects the liquid viscosity, effective hydration radius of the solute, and liquid density of the liquid to be composited using an online viscometer, a gel permeation chromatograph, and an online densitometer. The permeability analysis unit calculates the permeability set of the liquid to be composited by combining the Stokes-Einstein equation.

[0043] The first-stage permeation processing module includes a gas pressure wetting unit and a first-stage permeation time analysis unit. The gas pressure wetting unit sends the sliced ​​Cistanche deserticola to be processed into the first-stage processing chamber and performs pressure wetting in sequence according to the viscosity of the remaining liquid to be compounded. The first-stage permeation time analysis unit calculates the permeation time of different liquids to be compounded by combining Darcy's law.

[0044] The second-stage drying processing module includes a drying rate analysis unit and a microwave control unit. The drying rate analysis unit sends the Cistanche deserticola slices that have completed the absorption of the composite liquid into the second-stage processing chamber and performs microwave vacuum drying. The maximum Peckley number in the composite liquid is used as the control coefficient. The microwave control unit uses a moisture sensor to detect the water holding rate of the Cistanche deserticola slices and adjusts the microwave power in real time.

[0045] The drying target judgment module includes a drying target judgment unit, which judges the drying target by comparing the water holding rate of the Cistanche deserticola slices with the drying target water holding rate. When the drying target water holding rate is reached, the processing is judged to be complete and the drying process is stopped.

[0046] This invention provides an automated control method and system for the production and processing of Cistanche deserticola compound health products, which has the following beneficial effects:

[0047] (1) First, addressing the problem of inconsistent physical structures among batches of Cistanche deserticola slices leading to mismatched processing parameters, this invention utilizes terahertz nondestructive testing to obtain the average effective porosity ε, providing accurate initial data for subsequent adaptive processing. Second, addressing the issue of low efficiency and inability to construct specific structures due to the mixing of multiple composite liquids, this invention establishes a differentiated and time-sequential permeation logic: it analyzes the rheological properties of each liquid online, such as viscosity η and effective hydration radius R of the solute, and matches different permeation strategies accordingly, achieving controllable layered construction. Finally, addressing the problem of layered structure failure due to solute migration during the drying stage, this invention innovatively introduces the Peckley number PE as the core control coefficient of the drying process, ensuring that the real-time evaporation rate V1 is always controlled below a safe critical value by adjusting the microwave power W in real time. This invention combines material characterization, fluid dynamics calculation, and drying control based on physical principles, ensuring that the penetration depth, penetration quality, and final distribution of functional components in Cistanche deserticola slices are all under control, thereby enabling the stable and efficient production of composite health products with specific layered structures.

[0048] (2) Firstly, at the initial stage of processing, the fundamental problem of inconsistent physical properties between batches of Cistanche deserticola slices was solved. By using terahertz non-destructive testing equipment to perform structural testing on the slices, the average effective porosity ε could be accurately obtained. After obtaining this key carrier matrix parameter, the liquid viscosity η, effective hydration radius R of the solute, and liquid density ρ of each liquid to be composited were collected online. This made the processing flow no longer dependent on fixed empirical parameters, but combined the rheological properties of the liquid with the real pore structure of the carrier. The effective permeation and diffusion coefficient Deff of each liquid in the specific carrier was calculated and generated using the Stokes-Einstein equation. This series of operations provided accurate and adaptive personalized calculation basis for all subsequent permeation and drying stages, ensuring that the processing control had high precision from the source.

[0049] (3) Based on the permeability coefficient set PCS and viscosity set LVC of the liquids to be composited generated in the previous steps, the liquids to be composited are subjected to gas pressure wetting in descending order of viscosity, so that they penetrate the surface and reach the core. For the i-th liquid to be composited, the permeation time t i Precise calculations were performed based on Darcy's law and parameters such as the target absorption mass M. This time-series processing flow, utilizing different fluid properties, achieved the stratified construction of composite components in a solid carrier. More importantly, microwave vacuum drying solved the industry problem of stratification failure during the drying stage by identifying the minimum effective diffusion system Deff with the weakest diffusion capacity. MIN The critical evaporation rate V0 was calculated using the Peckley number (PE) as a control coefficient. The microwave power W was then dynamically adjusted by monitoring the water holding capacity (MC) in real time, ensuring that the real-time evaporation rate V1 remained below this critical value. This effectively suppressed solute migration, locking the constructed layered structure in place during the drying process until the target water holding capacity (DT) was reached, thus ensuring the quality and efficacy of the final product. Attached Figure Description

[0050] Figure 1 This is a schematic diagram illustrating the steps of an automated control method for the production and processing of Cistanche deserticola compound health products according to the present invention.

[0051] Figure 2 This is a schematic diagram of an automated control system for the production and processing of Cistanche deserticola compound health products according to the present invention.

[0052] Figure 3 This is a schematic diagram showing the permeation time of different composite liquids. Detailed Implementation

[0053] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0054] Example 1

[0055] This invention provides an automated control method for the production and processing of Cistanche deserticola compound health products. Please refer to [link / reference]. Figure 1 This includes the following steps:

[0056] S1. The slices of Cistanche deserticola to be processed are sent into the testing chamber and the structure is tested using terahertz non-destructive testing equipment to obtain the average effective porosity of the slices of Cistanche deserticola to be processed.

[0057] S2. Collect the liquid viscosity, effective hydration radius of the solute, and liquid density of the liquid to be composited using sensors, and calculate the permeability coefficient set of the liquid to be composited using the Stokes-Einstein equation.

[0058] S3. The sliced ​​Cistanche deserticola to be processed is sent into the first stage processing chamber. Pressure impregnation is performed in sequence according to the viscosity of the liquid to be compounded. The penetration time of different liquids to be compounded is calculated by combining Darcy's law.

[0059] S4. The Cistanche slices that have completed the absorption of the composite liquid are sent into the second stage processing chamber and microwave vacuum drying is performed. The maximum Peckley number in the composite liquid is used as the control coefficient. The water holding rate of the Cistanche slices is detected by a moisture sensor and the microwave power is adjusted in real time.

[0060] S5. Based on the water holding rate of the Cistanche deserticola slices and the target water holding rate for drying, the processing is considered complete when the target water holding rate for drying is reached, and the drying process is stopped.

[0061] In this embodiment, at the start of processing, the slices of Cistanche deserticola to be processed are first sent into the detection chamber, and structural detection is performed using terahertz non-destructive testing equipment to obtain the average effective porosity ε. This overcomes the defect of mismatch between processing parameters and actual carrier characteristics caused by ignoring the differences in physical structure between batches of natural carriers. Based on the average effective porosity ε, the method then collects the liquid viscosity η, effective hydration radius R of the solute, and liquid density ρ of the liquid to be compounded using sensors, and calculates an adaptive permeability coefficient set PCS using the Stokes-Einstein equation. Subsequently, the slices of Cistanche deserticola to be processed are sent into the first-stage processing chamber, and the permeation time t of the i-th liquid to be compounded is calculated sequentially according to the liquid viscosity η of the liquid to be compounded, using Darcy's law. iGas pressure impregnation was then performed. This penetration strategy, combined with other methods, solved the problem of traditional processing methods being unable to achieve refined and differentiated processing, thus constructing a layered structure of the composite components. Finally, to solidify this layered structure, the Cistanche deserticola slices that had completed the absorption of the composite liquid were sent to the second-stage processing chamber for microwave vacuum drying. This step used the maximum Peckley number in the composite liquid as a control coefficient, and the water holding capacity MC of the Cistanche deserticola slices was detected in real time by a moisture sensor, and the microwave power W was dynamically adjusted. This solved the fundamental problem of layered structure failure caused by solute migration. The drying process was stopped when the water holding capacity MC of the Cistanche deserticola slices reached the drying target water holding capacity DT, ensuring that the constructed layered structure was locked in place.

[0062] Example 2

[0063] This embodiment is an explanation based on Embodiment 1. Please refer to it. Figure 1 Specifically: S1 includes S11;

[0064] S11. The slices of Cistanche deserticola to be processed are sent into the testing chamber. The structure is tested using terahertz non-destructive testing equipment. The terahertz wave signal passing through the slices of Cistanche deserticola to be processed is collected and recorded in real time. The collected terahertz wave signal is converted from a time domain signal to a frequency domain signal using fast Fourier transform. The average effective porosity ε of the slices of Cistanche deserticola to be processed is obtained by using the Bruggeman model in the effective medium theory algorithm on the transformed terahertz wave signal.

[0065] S2 includes S21;

[0066] S21. By deploying online viscometers, gel permeation chromatographs, and online densitometers in storage tanks of different liquids to be compounded, the liquid viscosity η, effective hydration radius R, and liquid density ρ of different liquids to be compounded are collected respectively. The liquid viscosity η, effective hydration radius R, and liquid density ρ of different liquids to be compounded are integrated, and the liquid viscosity η of different liquids to be compounded is compared and sorted in descending order to obtain the liquid viscosity set LVC=[η1, η2, ..., η i , ..., η N The effective hydration radius set LRC = [R1, R2, ..., R] i , ..., R N And the set of liquid densities LDC = [ρ1, ρ2, ..., ρ i , ..., ρ N ], where i represents the i-th type of liquid to be compounded, and N represents the total number of types of liquids to be compounded;

[0067] S2 includes S22;

[0068] S22. Based on the liquid viscosity set LVC and the effective hydration radius set LRC, the theoretical diffusion rate of the liquid to be composited is described using the Stokes-Einstein equation. The average effective porosity ε and the pore tortuosity factor τ of the processed Cistanche deserticola slices are introduced to quantify the hindering and elongating effects of the processed Cistanche deserticola slices on the diffusion path, ultimately yielding the effective diffusion coefficient Deff of the i-th type of liquid to be composited. i ;

[0069] Wherein, the effective diffusion coefficient Deff of the i-th liquid to be composited i The calculation expression is as follows:

[0070] ;

[0071] In the formula, KB represents the preset Boltzmann constant, specifically 1.38 × 10⁻⁶. -23 J / K, where π represents the mathematical constant pi, specifically 3.1415, T represents the target processing temperature preset according to process requirements, in Kelvin, and τ represents the porosity tortuosity factor of the Cistanche deserticola slices to be processed. Before processing, a portion of the sample is taken out for experimental calibration.

[0072] The experimental method for determining the pore tortuosity factor τ of the processed Cistanche deserticola slices was the resistivity method. A 0.1 mol / L potassium chloride solution was prepared, and the conductivity σ of the potassium chloride solution was measured at a constant temperature using a standard conductivity meter. f And calculate the resistivity α of the potassium chloride solution. f Resistivity is σ and conductivity is σ f The reciprocal of the original value is used to place a portion of the Cistanche deserticola slices into a potassium chloride solution. After the sample has completely absorbed the potassium chloride solution, it is placed in a porous dielectric conductivity cell, and a low-frequency AC signal is applied to measure the resistance value r of the sample. s Based on the average thickness L and average surface area A of the sample, the macroscopic resistivity α of the sample is calculated. s The pore tortuosity factor τ and the resistivity α of potassium chloride solution f Macroscopic resistivity α of the sample s The correlation formula is as follows: (The formula is missing from the original text.) ;

[0073] The effective diffusion coefficients (Deff) of all the liquids to be combined are integrated to generate the permeability coefficient set (PCS) of the liquids to be combined.

[0074] In this embodiment, terahertz wave signals from the Cistanche deserticola slices to be processed are acquired using terahertz nondestructive testing equipment. These signals are then sequentially converted from the time domain to the frequency domain using Fast Fourier Transform (FFT), and finally calculated using an effective medium theory algorithm to obtain the average effective porosity ε with clear physical meaning. After clarifying the structural parameters of the Cistanche deserticola slices, online characterization of various liquids to be composited is performed. Using an online viscometer, gel permeation chromatography (GPC), and an online densitometer, the liquid viscosity η, effective hydration radius R, and liquid density ρ of each liquid are obtained. This not only obtains the key physical parameters of the fluids but also generates a liquid viscosity set LVC by comparing and ranking the liquid viscosity η. This set lays the control logic foundation for the processing sequence. Finally, the average effective porosity ε obtained previously is combined with the pre-calibrated pore tortuosity factor τ and the target processing temperature T set by the process. The Stokes-Einstein equation is then introduced to calculate the effective diffusion coefficient Deff of the i-th liquid to be composited in the Cistanche deserticola slices for each liquid in the liquid viscosity set LVC and the effective hydration radius set LRC. i All these calculation results are integrated into a permeability coefficient set (PCS). This set of coefficients is no longer a fixed empirical parameter, but rather a dynamic result that accurately reflects the permeability of each liquid to be compounded in the processed Cistanche deserticola slices. This provides adaptive and physically meaningful data support for subsequent permeation time calculations and drying rate limits.

[0075] Example 3

[0076] This embodiment is an explanation based on Embodiment 2. Please refer to it. Figure 1 and Figure 3 Specifically: S3 includes S31;

[0077] S31. The sliced ​​Cistanche deserticola to be processed is sent to the first-stage processing chamber. Following the order in the liquid viscosity set LVC, the first composite liquid is used as the current target composite solution for stage one and subjected to gas pressure impregnation. Based on the liquid viscosity η1 of the first composite liquid and Darcy's law, the pressure permeation mass flux of the first composite liquid under the preset process requirements is calculated. Based on the target absorption mass per unit area M in the preset process requirements, the permeation time t1 of the first composite liquid is calculated. When the permeation time t1 of the first composite liquid is reached, the first composite liquid is drained. The process continues, following the order in the liquid viscosity set LVC, with the i-th composite liquid used as the new target composite liquid for stage one, subjected to gas pressure impregnation, and the permeation time t of the i-th composite liquid is calculated. i This continues until all the liquids to be compounded have completed Phase 1 processing;

[0078] The gas pressure impregnation process involves placing slices of Cistanche deserticola into a cylindrical processing tank, injecting the target composite liquid (stage one) into the tank, and then sealing it. A gas compressor then injects inert gas above the target composite liquid through a pre-set pipeline until the pressure gauge displays the target gas pressure P of the i-th type of composite liquid, meeting the preset process requirements. i ;

[0079] S3 includes S32;

[0080] S32. During gas pressure impregnation, the permeation time t of the i-th composite liquid is... i The calculation expression is as follows:

[0081] ;

[0082] In the formula, L represents the average thickness of the Cistanche deserticola slices preset according to process requirements, K represents the permeability of the Cistanche deserticola slices, which is obtained by measuring a portion of the Cistanche deserticola slices to be processed using a permeability measuring instrument before processing, and is used as the permeability of this batch of Cistanche deserticola slices to be processed, C i Let ρ represent the mass fraction of the solute in the i-th liquid to be compounded. Based on the principle that there is a clear correspondence between the mass fraction of solute in a liquid and its density, a mass fraction-density comparison table for different liquids to be compounded is obtained by measuring and calibrating different densities. The density ρ of the i-th liquid to be compounded is then used as the reference. i Obtained by reading the mass fraction-density conversion table;

[0083] Regarding the permeation time t of the i-th composite liquid i A specific calculation example is as follows:

[0084] The current embodiment takes wolfberry polysaccharide solution and astragalus saponin solution as examples. The types and quantities of liquids to be compounded in actual applications include, but are not limited to, the case described in this embodiment. When i=1, it represents wolfberry polysaccharide solution, and when i=2, it represents astragalus saponin solution.

[0085] Average effective porosity ε: 0.6;

[0086] Average thickness of Cistanche deserticola slices: 0.005 (m); Target absorption mass per unit area M: 0.05 (kg / m²) 2 );

[0087] Target processing temperature T: 313.15 (K), porosity tortuosity factor τ: 1.8;

[0088] The permeability K of Cistanche deserticola slices: 5.29 × 10⁻⁶ -17 (m) 2 )

[0089] The first type of liquid wolfberry polysaccharide solution to be compounded:

[0090] Liquid viscosity η1: 0.05 (Pa·S), effective hydration radius R1: 5×10 -9 (m);

[0091] Liquid density ρ1: 1100 (kg / m³) 3 Solute mass fraction C1: 0.15;

[0092] The target gas pressure P1 for the first type of compounded liquid wolfberry polysaccharide solution is 400,000 Pa.

[0093] The second type of liquid astragaloside solution to be compounded:

[0094] Liquid viscosity η1: 0.002 (Pa·S), effective hydration radius R1: 1×10 -9 (m);

[0095] Liquid density ρ2: 1050 (kg / m³) 3 Solute mass fraction C2: 0.1;

[0096] The target gas pressure P2 for the second type of compounded liquid astragaloside solution is 50000 Pa.

[0097] The specific calculation example of the permeation time t1 of the first type of composite liquid wolfberry polysaccharide solution is as follows:

[0098] ;

[0099] The specific calculation example for the permeation time t2 of the second type of compound liquid astragalus saponin solution is as follows:

[0100] .

[0101] In this embodiment, the sliced ​​Cistanche deserticola to be processed is sent into the first-stage processing chamber, and the liquids to be compounded are introduced one by one strictly according to the order of the liquid viscosity sets (LVCs). First, the first compounding liquid is injected into the cylindrical processing tank as the current target compounding solution. After sealing, inert gas is injected through a gas compressor to make the pressure above the liquid surface reach the preset target gas pressure P1 of the first compounding liquid. The physical principle of this gas pressure wetting is that the applied target gas pressure P1 of the first compounding liquid is transmitted to all parts of the liquid through Pascal's principle, becoming the driving force for the liquid to penetrate the Cistanche deserticola slices. Under the preset target gas pressure P1 of the first compounding liquid, the penetration time t1 of the first compounding liquid is calculated precisely based on Darcy's law, and its goal is to make the slices reach a preset target absorption mass M per unit area. According to the penetration time t1 of the i-th compounding liquid... iThe calculation expression, processing control, takes into account the permeability K of Cistanche deserticola slices, the average thickness L of Cistanche deserticola slices, and the liquid viscosity η of the liquid. i Liquid density ρ i Solute mass fraction C i and the set target gas pressure P i The permeation time t1 of the first composite liquid required to achieve the quality target is calculated. After the permeation time t1 is reached, the first composite liquid is drained, and then the second composite liquid from the liquid viscosity set LVC is introduced and matched with the target gas pressure P2 of the second composite liquid according to the preset process requirements. The corresponding permeation time t2 is calculated and executed. The composite liquids are processed one by one in this order until all composite liquids are processed. The special advantage of this process is that Darcy's law is used to reveal the target gas pressure P of the i-th composite liquid. i The relationship between the liquid viscosity η and the permeation time t no longer relies on fuzzy experience, but is strictly based on the calculated permeation time t of the i-th composite liquid. i This process involves gas pressure impregnation. This quantitative calculation and rigorous execution method ensures that each liquid with distinctly different physical properties can precisely achieve the preset target absorption mass M per unit area, thus solving the problem of accurately controlling the permeation rate of different liquids and laying a solid foundation for constructing layered structures.

[0102] Example 4

[0103] This embodiment is an explanation based on Embodiment 3. Please refer to it. Figure 1 Specifically: S4 includes S41;

[0104] S41. Based on the permeability coefficient set PCS of the liquids to be composited, compare the effective diffusion coefficients Deff of different liquids to be composited, find the smallest effective diffusion coefficient Deff in the permeability coefficient set PCS, and mark it as the smallest effective diffusion coefficient Deff. MIN The critical evaporation rate V0 is calculated based on the Peckley number PE as the control coefficient.

[0105] The expression for calculating the critical evaporation rate V0 is as follows:

[0106] ;

[0107] In the formula, PE represents the Peclet number, which is set as a control coefficient according to the process requirements. When the Peclet number PE≥1, it means that the moisture evaporates too quickly, and the compound liquid in the Cistanche deserticola slices will be carried to the surface with the moisture during the drying process, resulting in processing failure. When the Peclet number PE<1, it means that the moisture evaporates slowly, and the compound liquid in the Cistanche deserticola slices will not be carried to the surface with the moisture during the drying process, thus successfully completing the processing.

[0108] S4 includes S42;

[0109] S42. The Cistanche deserticola slices that have completed the composite liquid absorption are sent into the third-stage processing chamber. Microwave vacuum drying is performed according to the microwave power W and vacuum degree VD set in the process requirements. The change in the water holding capacity MC of the Cistanche deserticola slices is detected using a moisture sensor, combined with the drying time t. W The real-time evaporation rate V1 is obtained. When the real-time evaporation rate V1 > the critical evaporation rate V0, the microwave power W needs to be reduced. When the real-time evaporation rate V1 < the critical evaporation rate V0, it indicates that the evaporation process is safe and the microwave power W needs to be increased linearly until the real-time evaporation rate V1 = the critical evaporation rate V0. When the real-time evaporation rate V1 = the critical evaporation rate V0, it indicates the optimal drying rate, and the current microwave power W is maintained.

[0110] S5 includes S51;

[0111] S51. The judgment is made based on the water holding rate MC of Cistanche deserticola slices and the target water holding rate DT for drying.

[0112] When the water holding rate (MC) of the Cistanche deserticola slices is greater than the target water holding rate (DT), microwave vacuum drying is continued.

[0113] When the water holding rate (MC) of the Cistanche deserticola slices is less than or equal to the target water holding rate (DT), the drying process is complete, and the microwave vacuum drying process is stopped.

[0114] Examples of drying process parameter control are shown in Table 1:

[0115] Table 1:

[0116]

[0117] In this embodiment, after all the composite liquid absorption is completed, the slices are sent to the second-stage processing chamber for microwave vacuum drying. The control logic in this stage abandons traditional temperature monitoring and instead establishes a rate control method based on physical principles. First, the control logic retrieves and determines the minimum effective diffusion coefficient Deff, which has the weakest diffusion capacity, from the permeability coefficient set PCS. MINThis serves as the control baseline for the worst-case scenario. Subsequently, using a preset Pecleve number PE as a control coefficient, and combined with the average thickness L of the Cistanche deserticola slices, the critical evaporation rate V0, which ensures no solute migration, is calculated in reverse. The underlying principle is that when the Pecleve number PE ≥ 1, it indicates that the water evaporates too quickly, and the complex liquid in the Cistanche deserticola slices will be carried to the surface with the water during the drying process, leading to processing failure. When the Pecleve number PE < 1, it indicates that the water evaporates slowly, and the complex liquid in the Cistanche deserticola slices will not be carried to the surface with the water during the drying process, thus successfully completing the processing. After drying begins, a moisture sensor detects the change in the water holding capacity MC of the Cistanche deserticola slices in real time, thereby calculating the real-time evaporation rate V1. This real-time evaporation rate V1 is continuously compared with the critical evaporation rate V0: when the real-time evaporation rate V1 is greater than the critical evaporation rate V0, the microwave power W is immediately reduced to prevent the complex liquid from escaping; when the real-time evaporation rate V1 is less than the critical evaporation rate V0, the microwave power W is linearly increased to improve efficiency until the two are equal. This approach solves the fundamental problem of solute migration caused by uncontrolled evaporation rates. This dynamic adjustment process continues until the moisture sensor detects that the water holding capacity (MC) of the Cistanche deserticola slices is less than or equal to the target drying water holding capacity (DT). At this point, drying is complete, ensuring that the layered structure of the composite components is fully preserved.

[0118] Example 5

[0119] An automated control system for the production and processing of Cistanche deserticola compound health products, please refer to... Figure 2 Specifically, it includes a slice detection module, a liquid characteristic and permeability coefficient analysis module, a stage one permeation processing module, a stage two drying processing module, and a drying target judgment module;

[0120] The slice detection module includes a slice detection unit, which sends the slices of Cistanche deserticola to be processed into the detection chamber and performs structural detection using terahertz non-destructive testing equipment to obtain the average effective porosity of the slices.

[0121] The liquid characteristics and permeability analysis module includes a liquid characteristics analysis unit and a permeability analysis unit. The liquid characteristics analysis unit collects the liquid viscosity, effective hydration radius of the solute, and liquid density of the liquid to be composited using an online viscometer, a gel permeation chromatograph, and an online densitometer. The permeability analysis unit calculates the permeability set of the liquid to be composited by combining the Stokes-Einstein equation.

[0122] The first-stage permeation processing module includes a gas pressure wetting unit and a first-stage permeation time analysis unit. The gas pressure wetting unit sends the sliced ​​Cistanche deserticola to be processed into the first-stage processing chamber and performs pressure wetting in sequence according to the viscosity of the remaining liquid to be compounded. The first-stage permeation time analysis unit calculates the permeation time of different liquids to be compounded by combining Darcy's law.

[0123] The second-stage drying processing module includes a drying rate analysis unit and a microwave control unit. The drying rate analysis unit sends the Cistanche deserticola slices that have completed the absorption of the composite liquid into the second-stage processing chamber and performs microwave vacuum drying. The maximum Peckley number in the composite liquid is used as the control coefficient. The microwave control unit uses a moisture sensor to detect the water holding rate of the Cistanche deserticola slices and adjusts the microwave power in real time.

[0124] The drying target judgment module includes a drying target judgment unit, which judges the drying target by comparing the water holding rate of the Cistanche deserticola slices with the drying target water holding rate. When the drying target water holding rate is reached, the processing is judged to be complete and the drying process is stopped.

[0125] In this process, the slice detection unit sends the average effective porosity data to the central controller, the liquid characteristic analysis unit sends the permeability coefficient set of the liquid to be compounded to the central controller, the central controller runs the algorithms of the permeability coefficient analysis unit and the first-stage permeation time analysis unit, calculates the permeation time based on the received data, and sends open / pressurize / close commands to the gas pressure wetting unit according to the calculated permeation time. In the second stage, the drying rate analysis unit sends the real-time evaporation rate data to the central controller, the microwave control unit of the central controller sends the microwave power adjustment command according to the comparison result of the real-time evaporation rate and the critical evaporation rate, and the drying target judgment unit stops the drying process according to the signal that the water holding rate of the Cistanche deserticola slices has reached the drying target water holding rate.

[0126] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An automated control method for the production and processing of Cistanche deserticola compound health products, characterized in that: Includes the following steps: S1. The slices of Cistanche deserticola to be processed are sent into the testing chamber and the structure is tested using terahertz non-destructive testing equipment to obtain the average effective porosity of the slices of Cistanche deserticola to be processed. S2. Collect the liquid viscosity, effective hydration radius of the solute, and liquid density of the liquid to be composited using sensors, and calculate the permeability coefficient set of the liquid to be composited using the Stokes-Einstein equation. S3. The sliced ​​Cistanche deserticola to be processed is sent into the first stage processing chamber. Pressure impregnation is performed in sequence according to the viscosity of the liquid to be compounded. The penetration time of different liquids to be compounded is calculated by combining Darcy's law. S4. The Cistanche slices that have completed the absorption of the composite liquid are sent into the second stage processing chamber and microwave vacuum drying is performed. The maximum Peckley number in the composite liquid is used as the control coefficient. The water holding rate of the Cistanche slices is detected by a moisture sensor and the microwave power is adjusted in real time. S5. Based on the water holding rate of the Cistanche deserticola slices and the target water holding rate for drying, the processing is considered complete when the target water holding rate for drying is reached, and the drying process is stopped.

2. The automated control method for the production and processing of Cistanche deserticola compound health products according to claim 1, characterized in that: S1 includes S11; S11. The slices of Cistanche deserticola to be processed are sent into the testing chamber. The structure is tested using terahertz nondestructive testing equipment. The terahertz wave signal passing through the slices is collected and recorded in real time. The collected terahertz wave signal is converted from a time domain signal to a frequency domain signal using fast Fourier transform. The average effective porosity ε of the slices is obtained by applying the effective medium theory algorithm to the transformed terahertz wave signal.

3. The automated control method for the production and processing of Cistanche deserticola compound health products according to claim 2, characterized in that: S2 includes S21; S21. By deploying online viscometers, gel permeation chromatographs, and online densitometers in storage tanks of different liquids to be compounded, the liquid viscosity η, effective hydration radius R, and liquid density ρ of different liquids to be compounded are collected respectively. The liquid viscosity η, effective hydration radius R, and liquid density ρ of different liquids to be compounded are integrated, and the liquid viscosity η of different liquids to be compounded is compared and sorted in descending order to obtain the liquid viscosity set LVC=[η1, η2, ..., η i , ..., η N The effective hydration radius set LRC = [R1, R2, ..., R] i , ..., R N And the set of liquid densities LDC = [ρ1, ρ2, ..., ρ i , ..., ρ N ], where i represents the i-th type of liquid to be compounded, and N represents the total number of types of liquids to be compounded.

4. The automated control method for the production and processing of Cistanche deserticola compound health products according to claim 3, characterized in that: S2 includes S22; S22. Based on the liquid viscosity set LVC and the effective hydration radius set LRC, the theoretical diffusion rate of the liquid to be composited is described using the Stokes-Einstein equation. The average effective porosity ε and the pore tortuosity factor τ of the processed Cistanche deserticola slices are introduced to quantify the hindering and elongating effects of the processed Cistanche deserticola slices on the diffusion path, ultimately yielding the effective diffusion coefficient Deff of the i-th type of liquid to be composited. i ; Wherein, the effective diffusion coefficient Deff of the i-th liquid to be composited i The calculation expression is as follows: ； In the formula, KB represents the preset Boltzmann constant, π represents pi, T represents the preset target processing temperature according to process requirements, and τ represents the porosity tortuosity factor of the Cistanche deserticola slices to be processed. The effective diffusion coefficients (Deff) of all the liquids to be combined are integrated to generate the permeability coefficient set (PCS) of the liquids to be combined.

5. The automated control method for the production and processing of Cistanche deserticola compound health products according to claim 4, characterized in that: S3 includes S31; S31. The sliced ​​Cistanche deserticola to be processed is sent to the first-stage processing chamber. Following the order in the liquid viscosity set LVC, the first composite liquid is used as the current target composite solution for stage one and subjected to gas pressure impregnation. Based on the liquid viscosity η1 of the first composite liquid and Darcy's law, the pressure permeation mass flux of the first composite liquid under the preset process requirements is calculated. Based on the target absorption mass per unit area M in the preset process requirements, the permeation time t1 of the first composite liquid is calculated. When the permeation time t1 of the first composite liquid is reached, the first composite liquid is drained. The process continues, following the order in the liquid viscosity set LVC, with the i-th composite liquid used as the new target composite liquid for stage one, subjected to gas pressure impregnation, and the permeation time t of the i-th composite liquid is calculated. i This continues until all the liquids to be compounded have completed Phase 1 processing; The gas pressure impregnation process involves placing slices of Cistanche deserticola into a cylindrical processing tank, injecting the target composite liquid (stage one) into the tank, and then sealing it. A gas compressor then injects inert gas above the target composite liquid through a pre-set pipeline until the pressure gauge displays the target gas pressure P of the i-th type of composite liquid, meeting the preset process requirements. i .

6. The automated control method for the production and processing of Cistanche deserticola compound health products according to claim 5, characterized in that: S3 includes S32; S32. During gas pressure impregnation, the permeation time t of the i-th composite liquid is... i The calculation expression is as follows: ； In the formula, L represents the average thickness of the Cistanche deserticola slices preset according to process requirements, K represents the permeability of the Cistanche deserticola slices, and C... i This represents the mass fraction of the solute in the i-th liquid to be compounded, based on the density ρ of the i-th liquid to be compounded. i .

7. The automated control method for the production and processing of Cistanche deserticola compound health products according to claim 6, characterized in that: S4 includes S41; S41. Based on the permeability coefficient set PCS of the liquids to be composited, compare the effective diffusion coefficients Deff of different liquids to be composited, find the smallest effective diffusion coefficient Deff in the permeability coefficient set PCS, and mark it as the smallest effective diffusion coefficient Deff. MIN The critical evaporation rate V0 is calculated based on the Peckley number PE as the control coefficient. The expression for calculating the critical evaporation rate V0 is as follows: ； In the formula, PE represents the Peckley number.

8. The automated control method for the production and processing of Cistanche deserticola compound health products according to claim 7, characterized in that: S4 includes S42; S42. The Cistanche deserticola slices that have completed the composite liquid absorption are sent into the third-stage processing chamber. Microwave vacuum drying is performed according to the microwave power W and vacuum degree VD set in the process requirements. The change in the water holding capacity MC of the Cistanche deserticola slices is detected using a moisture sensor, combined with the drying time t. W The real-time evaporation rate V1 is obtained. When the real-time evaporation rate V1 > the critical evaporation rate V0, the microwave power W needs to be reduced. When the real-time evaporation rate V1 < the critical evaporation rate V0, it indicates that the evaporation process is safe and the microwave power W needs to be increased linearly until the real-time evaporation rate V1 = the critical evaporation rate V0. When the real-time evaporation rate V1 = the critical evaporation rate V0, it indicates the optimal drying rate, and the current microwave power W is maintained.

9. The automated control method for the production and processing of Cistanche deserticola compound health products according to claim 8, characterized in that: S5 includes S51; S51. The judgment is made based on the water holding rate MC of Cistanche deserticola slices and the target water holding rate DT for drying. When the water holding rate (MC) of the Cistanche deserticola slices is greater than the target water holding rate (DT), microwave vacuum drying is continued. When the water holding rate (MC) of the Cistanche deserticola slices is less than or equal to the target water holding rate (DT), the drying process is complete, and the microwave vacuum drying process is stopped.

10. An automated control system for the production and processing of Cistanche deserticola compound health products, applied to the automated control method for the production and processing of Cistanche deserticola compound health products as described in any one of claims 1 to 9, characterized in that: It includes a slice detection module, a liquid characteristic and permeability coefficient analysis module, a stage one permeation processing module, a stage two drying processing module, and a drying target judgment module; The slice detection module includes a slice detection unit, which sends the slices of Cistanche deserticola to be processed into the detection chamber and performs structural detection using terahertz non-destructive testing equipment to obtain the average effective porosity of the slices. The liquid characteristics and permeability analysis module includes a liquid characteristics analysis unit and a permeability analysis unit. The liquid characteristics analysis unit collects the liquid viscosity, effective hydration radius of the solute, and liquid density of the liquid to be composited using an online viscometer, a gel permeation chromatograph, and an online densitometer. The permeability analysis unit calculates the permeability set of the liquid to be composited by combining the Stokes-Einstein equation. The first-stage permeation processing module includes a gas pressure wetting unit and a first-stage permeation time analysis unit. The gas pressure wetting unit sends the sliced ​​Cistanche deserticola to be processed into the first-stage processing chamber and performs pressure wetting in sequence according to the viscosity of the remaining liquid to be compounded. The first-stage permeation time analysis unit calculates the permeation time of different liquids to be compounded by combining Darcy's law. The second-stage drying module includes a drying rate analysis unit and a microwave control unit. The drying rate analysis unit sends the Cistanche deserticola slices that have completed the absorption of the composite liquid into the second-stage processing chamber and performs microwave vacuum drying. The maximum Peckley number in the composite liquid is used as the control coefficient. The microwave control unit uses a moisture sensor to detect the water holding rate of the Cistanche deserticola slices and adjusts the microwave power in real time. The drying target judgment module includes a drying target judgment unit, which judges the drying target by comparing the water holding rate of the Cistanche deserticola slices with the drying target water holding rate. When the drying target water holding rate is reached, the processing is judged to be complete and the drying process is stopped.

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