An intelligent temperature control system and method for freeze-drying seahorses

Abstract

The present application provides a kind of seahorse freeze-drying intelligent temperature control system and method, determines the temperature distribution information in the seahorse freeze-drying device after each gradient warming according to all response temperatures, determines the temperature distribution uniformity of the seahorse during the freeze-drying sublimation process through all temperature distribution information, determines the sublimation rate of ice crystals in the seahorse during the freeze-drying sublimation process based on the distribution uniformity and all feedback pressures; when the sublimation rate is lower than the preset sublimation threshold, determines the fluctuation entropy of the temperature shock suffered by the seahorse based on the gradient warming value and the response temperature gradient between each response temperature, determines the thermal stability temperature of the seahorse during the freeze-drying sublimation process according to the fluctuation entropy, sublimation rate and pre-freezing temperature; dynamically adapts the gradient warming of the seahorse in the subsequent freeze-drying sublimation process based on the thermal stability temperature. Based on the above scheme, the dynamic adaptive adjustment of the temperature of the seahorse during the sublimation process can be achieved, thereby improving the sublimation quality of the seahorse freeze-drying.

Description

Technical Field

[0001] The present application relates to the technical field of temperature intelligent control for freeze-dried seahorse production, and more specifically, to an intelligent temperature control system and method for freeze-dried seahorse production. Background Art

[0002] Freeze-drying hippocampus involves a dehydration process that freezes the sample and directly sublimates the water at low temperatures, effectively preventing thermal damage. Temperature control for freeze-drying hippocampus involves combining cryogenic freezing of hippocampal tissue with vacuum sublimation, preserving its bioactive components and structural properties, making it suitable for heat-sensitive biomaterials. The temperature control for freeze-drying hippocampus involves a pre-freezing phase, a primary drying phase, and a secondary drying phase. Precisely controlling the heating and cooling rates, as well as maintaining an appropriate pressure and temperature profile, prevents tissue collapse or degradation of active ingredients.

[0003] Traditional temperature control cannot accurately maintain a stable heating rate during the sublimation process, which can easily cause the sample surface temperature to be too high or too low, resulting in local heating that is too fast or too slow, resulting in uneven water sublimation rate and tissue structure collapse or cracking. In addition, excessive temperature fluctuations may cause sensitive bioactive components in the hippocampus (such as small molecule active substances) to degrade due to overheating, resulting in local sublimation stagnation and overheating, which in turn affects the drying efficiency and the quality of the freeze-dried hippocampus. With the help of the hippocampus freeze-drying temperature control software system, the dynamic adaptive adjustment of the temperature in the sublimation process can be realized intelligently, thereby improving the uniformity of the sublimation rate and product quality during the freeze-drying process of the hippocampus. However, how to realize the dynamic adaptive adjustment of the temperature in the sublimation process of the freeze-dried hippocampus production, thereby improving the sublimation quality of the freeze-dried hippocampus production, is a difficult problem faced by the industry. Summary of the Invention

[0004] The present application provides an intelligent temperature control system and method for freeze-drying seahorses, which can realize dynamic adaptive adjustment of the temperature during the sublimation process of freeze-dried seahorses, thereby improving the sublimation quality of freeze-dried seahorses.

[0005] In a first aspect, the present application provides an intelligent temperature control method for freeze-drying hippocampus, comprising:

[0006] Obtaining the pre-freezing temperature of the hippocampus during freeze-drying, gradually increasing the output temperature of the device during the freeze-drying sublimation process of the hippocampus from the pre-freezing temperature, and collecting the feedback pressure of the hippocampus freeze-drying device and the response temperature of each temperature monitoring point in the hippocampus freeze-drying device after each gradient temperature increase;

[0007] Determining temperature distribution information in the seahorse freeze-drying device after each gradient warming according to all response temperatures, determining the temperature distribution uniformity of the seahorse during the freeze-drying sublimation process according to all temperature distribution information, and determining the sublimation rate of ice crystals in the seahorse during the freeze-drying sublimation process based on the distribution uniformity and all feedback pressures;

[0008] When the sublimation rate is lower than a preset sublimation threshold, the fluctuation entropy of the temperature shock to the hippocampus is determined based on the gradient temperature increase value of the device output temperature and the response temperature gradient between each response temperature, and the thermal stability temperature of the hippocampus during the freeze-drying sublimation process is determined according to the fluctuation entropy, the sublimation rate and the pre-freezing temperature;

[0009] Based on the thermal stability temperature, the gradient temperature increase of the hippocampus in the subsequent freeze-drying sublimation process is dynamically adaptively adjusted to obtain the subsequent adaptive temperature increase value of the hippocampus freeze-drying equipment.

[0010] In some embodiments, determining the temperature distribution information in the hippocampus freeze-drying device after each gradient temperature increase based on all response temperatures specifically includes:

[0011] For each temperature gradient increase, the response temperature of each temperature monitoring point in the seahorse freeze-drying device after the temperature gradient increase is obtained;

[0012] Determine the distribution characteristics of each response temperature according to the location information of each temperature monitoring point;

[0013] The temperature distribution information in the hippocampus freeze-drying device after gradient warming is determined through all the distribution characteristics, and then the temperature distribution information in the hippocampus freeze-drying device after each gradient warming is obtained.

[0014] In some embodiments, determining the temperature distribution uniformity of the hippocampus during the freeze-drying sublimation process using all temperature distribution information specifically includes:

[0015] For each temperature monitoring point, the response temperature of the temperature monitoring point after each gradient heating is obtained from each temperature distribution information;

[0016] Determine the temperature mean of the temperature monitoring point according to all the response temperatures, and then obtain the temperature mean of each temperature monitoring point;

[0017] The uniformity of the temperature distribution of the hippocampus during the freeze-drying sublimation process was determined by the mean of all temperatures.

[0018] In some embodiments, determining the sublimation rate of ice crystals in the hippocampus during the freeze-drying sublimation process based on the distribution uniformity and all feedback pressures specifically includes:

[0019] Obtain the sublimation time of ice crystals in the hippocampus during freeze-drying sublimation;

[0020] Determine the amount of ice crystal vaporization in the hippocampus based on all feedback pressures;

[0021] Performing sublimation correction on the ice crystal vaporization amount according to the distribution uniformity to obtain the ice crystal sublimation amount in the hippocampus;

[0022] The sublimation rate of ice crystals in the hippocampus during the freeze-drying sublimation process is determined by the sublimation amount of ice crystals and the sublimation time.

[0023] In some embodiments, determining the fluctuation entropy of the temperature shock to the hippocampus based on the gradient temperature increase value of the device output temperature and the response temperature gradient between each response temperature specifically includes:

[0024] For each gradient heating, obtain the gradient heating value of the device output temperature and the response temperature of each temperature monitoring point before and after the gradient heating;

[0025] Determine the response temperature gradient between the response temperatures at each temperature monitoring point before and after the gradient warming;

[0026] Determining the temperature shock value after the gradient heating according to the response temperature gradient and the gradient heating value, and then obtaining the temperature shock value after each gradient heating;

[0027] Determine the fluctuating entropy of the temperature shock experienced by the hippocampus based on all the temperature shock values.

[0028] In some embodiments, determining the thermal stability temperature of the hippocampus during the freeze-drying sublimation process according to the fluctuation entropy, the sublimation rate, and the pre-freezing temperature specifically includes:

[0029] Comparing the sublimation rate with the standard sublimation rate in the freeze-dried production of seahorse, to obtain the sublimation deviation of the seahorse during the freeze-drying sublimation process;

[0030] Determining the temperature fluctuation limit that the seahorse can withstand based on the sublimation deviation and the fluctuation entropy;

[0031] The thermal stability temperature of the hippocampus during the freeze-drying sublimation process is determined by the pre-freezing temperature and the temperature fluctuation limit.

[0032] In some embodiments, a vacuum sensor is used to collect feedback pressure of the seahorse freeze-drying device.

[0033] In a second aspect, the present application provides a hippocampus freeze-drying intelligent temperature control system, comprising:

[0034] An acquisition module is used to obtain the pre-freezing temperature of the hippocampus during freeze-drying, gradually increase the output temperature of the device during the freeze-drying sublimation process of the hippocampus from the pre-freezing temperature, and after each gradient temperature increase, collect the feedback pressure of the hippocampus freeze-drying device and the response temperature of each temperature monitoring point in the hippocampus freeze-drying device;

[0035] a processing module for determining temperature distribution information in the seahorse freeze-drying device after each gradient warming according to all response temperatures, determining the temperature distribution uniformity of the seahorse during the freeze-drying sublimation process based on all temperature distribution information, and determining the sublimation rate of ice crystals in the seahorse during the freeze-drying sublimation process based on the distribution uniformity and all feedback pressures;

[0036] The processing module is further configured to determine, when the sublimation rate is lower than a preset sublimation threshold, a fluctuation entropy of the temperature shock to which the hippocampus is subjected based on a gradient temperature increase value of the device output temperature and a response temperature gradient between each response temperature, and determine a thermal stability temperature of the hippocampus during the freeze-drying sublimation process based on the fluctuation entropy, the sublimation rate, and the pre-freezing temperature;

[0037] The execution module is used to dynamically and adaptively adjust the gradient temperature increase of the hippocampus in the subsequent freeze-drying sublimation process based on the thermal stability temperature, and obtain the subsequent adaptive temperature increase value of the hippocampus freeze-drying equipment.

[0038] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned intelligent temperature control method for freeze-drying hippocampus.

[0039] In a fourth aspect, the present application provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes are run on a computer, the computer implements the above-mentioned intelligent temperature control method for freeze-drying of hippocampus.

[0040] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0041] In a seahorse freeze-drying intelligent temperature control system and method provided by the present application, the pre-freezing temperature of the seahorse during freeze-drying is obtained, and the output temperature of the equipment during the freeze-drying sublimation process of the seahorse is gradually increased from the pre-freezing temperature, and after each gradient increase in temperature, the feedback pressure of the seahorse freeze-drying equipment and the response temperature of each temperature monitoring point in the seahorse freeze-drying equipment are collected; the temperature distribution information in the seahorse freeze-drying equipment after each gradient increase in temperature is determined based on all the response temperatures, and the temperature distribution uniformity of the seahorse during the freeze-drying sublimation process is determined based on all the temperature distribution information. and all feedback pressures to determine the sublimation rate of ice crystals in the hippocampus during the freeze-drying sublimation process; when the sublimation rate is lower than the preset sublimation threshold, the fluctuation entropy of the temperature shock suffered by the hippocampus is determined based on the gradient warming value of the device output temperature and the response temperature gradient between each response temperature, and the thermal stability temperature of the hippocampus during the freeze-drying sublimation process is determined according to the fluctuation entropy, the sublimation rate and the pre-freezing temperature; based on the thermal stability temperature, the gradient warming of the hippocampus in the subsequent freeze-drying sublimation process is dynamically adaptively adjusted to obtain the adaptive warming value of the hippocampus freeze-drying equipment in the subsequent process.

[0042] It can be seen that in this application, the gradient temperature increase of the seahorse in the subsequent freeze-drying sublimation process is dynamically adaptively adjusted based on the thermal stability temperature, and the adaptive temperature increase value of the seahorse freeze-drying equipment in the subsequent process is obtained; wherein, the sublimation rate is determined to obtain an efficiency index for measuring the direct conversion of water from solid to gas in the seahorse. A sublimation rate that is too low may cause the residual water to fail to sublimate in time, affecting the drying effect and tissue integrity. Accurate monitoring of the sublimation rate can avoid local sublimation stagnation and overheating, ensure the uniformity and efficiency of the sublimation process, thereby reducing the risk of hippocampal structure collapse, and thus improving the quality and efficiency of seahorse freeze-drying; then, the thermal stability temperature reflects The temperature fluctuation deviation that the seahorse can withstand during the sublimation process is understood, and the determination of the thermal stability temperature can accurately quantify the optimal temperature range in the sublimation process that can not only improve the sublimation efficiency but also avoid the influence of overheating or low temperature. The optimal temperature range can realize precise control of gradient warming, reduce the impact of temperature fluctuations on the seahorse, improve the uniformity of temperature distribution, and ultimately improve the tissue structure and function retention of the seahorse, which not only improves the consistency of the freeze-dried product, but also significantly improves the stability of the entire seahorse freeze-dried production; in summary, based on the above scheme, the dynamic adaptive adjustment of the temperature in the sublimation process of seahorse production can be realized, thereby improving the sublimation quality of seahorse freeze-dried. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0044] Figure 1 is an exemplary flow chart of the intelligent temperature control method for freeze-drying hippocampus according to some embodiments of the present application;

[0045] Figure 2 is a flow chart of the freeze-drying process of hippocampus according to some embodiments of the present application;

[0046] Figure 3 is a schematic diagram of a process for determining the thermal stability temperature according to some embodiments of the present application;

[0047] Figure 4 Schematic diagram of the structure of the intelligent temperature control system for freeze-drying of hippocampus according to some embodiments of the present application;

[0048] Figure 5 It is a structural diagram of a computer device for implementing the intelligent temperature control method for freeze-drying hippocampus according to some embodiments of the present application. DETAILED DESCRIPTION

[0049] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0050] refer to Figure 1 , which is an exemplary flow chart of a hippocampus freeze-drying intelligent temperature control method according to some embodiments of the present application. The hippocampus freeze-drying intelligent temperature control method mainly includes the following steps:

[0051] In step 101, the pre-freezing temperature of the hippocampus during freeze-drying is obtained, and the output temperature of the equipment during the freeze-drying sublimation process of the hippocampus is gradually increased from the pre-freezing temperature. After each gradient increase, the feedback pressure of the hippocampus freeze-drying equipment and the response temperature of each temperature monitoring point in the hippocampus freeze-drying equipment are collected.

[0052] It should be noted that, in this application, the pre-freezing temperature refers to the temperature at which the seahorse sample is cooled to a frozen state at the beginning of the freeze-drying process. The pre-freezing temperature is lower than the freezing point of water in the seahorse, and the pre-freezing temperature is used to form a uniform ice crystal structure; the sublimation stage refers to the process of direct conversion from solid ice crystals to gaseous water during the freeze-drying process. The sublimation stage is the main dehydration stage in the seahorse freeze-drying process, and the sublimation stage determines the uniformity and quality of sample drying; the equipment output temperature is the set temperature of the heating element of the seahorse freeze-drying equipment; the feedback pressure is a pressure value that measures the rate of sublimation of ice crystals in the seahorse and the water vapor concentration in the chamber; the response temperature is a temperature value that reflects the heating conditions of different areas of the seahorse.

[0053] In specific implementation, first, the pre-freezing temperature of the seahorse is obtained to ensure the formation of a uniform ice crystal structure; then, after entering the sublimation stage, the equipment heating element is adjusted to the equipment output temperature, and gradient temperature increase is performed starting from the pre-freezing temperature; finally, after each temperature adjustment, the feedback pressure of the seahorse freeze-drying equipment can be collected by a vacuum sensor, and the temperature of each temperature monitoring point is monitored by the temperature sensor in the freeze-drying equipment as the response temperature, wherein the gradient temperature increase is a method of gradually increasing the output temperature of the equipment during the sublimation stage, using small temperature changes to avoid thermal damage to the sample while maintaining the sublimation efficiency. The amplitude of each temperature increase is controlled within a reasonable range to avoid damage to the thermal sensitivity of the sample; it should be noted that in this application, a vacuum sensor is used to collect the feedback pressure of the seahorse freeze-drying equipment.

[0054] In some embodiments, reference Figure 2 As described, this figure is a flow chart of the seahorse freeze-drying process shown in some embodiments of the present application. The figure shows the various key systems in the seahorse freeze-drying process and their interrelationships. First, the seahorse is sent into the heating system as a raw material. The heating system is responsible for freezing the water in the seahorse into ice crystals to prepare for the subsequent freeze-drying process. The heating system ensures that the water in the seahorse can be evenly frozen by controlling the temperature to avoid damage to the hippocampal tissue structure caused by excessively large ice crystals.

[0055] Next, the seahorses that have passed through the heating system are transferred to the condensation system. In the condensation system, the ice crystals in the seahorses begin to vaporize under a vacuum environment, and the water is removed in the form of gas. The condensation system is closely connected to the vacuum system. The vacuum system reduces the pressure and the boiling point of water, allowing the ice crystals to vaporize at a lower temperature, thereby reducing the damage to the nutrients of the seahorses.

[0056] Finally, the refrigeration system plays the role of maintaining a low-temperature environment throughout the freeze-drying process. The refrigeration system and the control system work together to ensure that the temperature and vacuum degree of the entire freeze-drying process can be precisely controlled. The control system is the brain of the entire freeze-drying process. It monitors and adjusts the working status of each system to achieve the best freeze-drying effect. Through the coordinated work of this series of systems, the seahorse can complete the freeze-drying process while maintaining its original nutrients and active substances.

[0057] Temperature control is crucial during the freeze-drying process of seahorses. First, the seahorses need to be pre-frozen in a -18°C refrigerator overnight, and then dried at a drying temperature of 30°C and a vacuum of 300 Pa. The freeze-drying technology is divided into three stages: a slow freezing stage, including three temperature points of 0°C, -20°C, and -40°C; a primary drying stage, with a temperature control range of -25~10°C and a vacuum control within 40PA; and a desorption drying stage, with a temperature of 20~60°C and a vacuum control within 60PA. These precise temperature control steps ensure that the seahorses retain their original nutrients and active substances during the freeze-drying process.

[0058] In step 102, the temperature distribution information in the hippocampus freeze-drying equipment after each gradient warming is determined based on all the response temperatures, the temperature distribution uniformity of the hippocampus during the freeze-drying sublimation process is determined through all the temperature distribution information, and the sublimation rate of ice crystals in the hippocampus during the freeze-drying sublimation process is determined based on the distribution uniformity and all the feedback pressures.

[0059] In some embodiments, determining the temperature distribution information in the hippocampus freeze-drying device after each gradient temperature increase based on all response temperatures can be achieved by using the following steps:

[0060] For each temperature gradient increase, the response temperature of each temperature monitoring point in the seahorse freeze-drying device after the temperature gradient increase is obtained;

[0061] Determine the distribution characteristics of each response temperature according to the location information of each temperature monitoring point;

[0062] The temperature distribution information in the hippocampus freeze-drying device after gradient warming is determined through all the distribution characteristics, and then the temperature distribution information in the hippocampus freeze-drying device after each gradient warming is obtained.

[0063] It should be noted that, in the present application, temperature distribution information refers to the distribution characteristics of temperature in different areas of the hippocampus in the hippocampus freeze-drying device; in specific implementation, first, for each gradient warming, the response temperature of each temperature monitoring point in the hippocampus freeze-drying device after gradient warming is obtained; then, for each response temperature, the position of the temperature sensor corresponding to the response temperature in the hippocampus freeze-drying device is obtained as the position information of the temperature monitoring point corresponding to the response temperature, and the set of position information and response temperature is used as the distribution characteristics of the response temperature. The distribution characteristics of each response temperature can be obtained in the above manner, and the distribution characteristics are a data set composed of the response temperature and the spatial position of the monitoring point; finally, the set of all distribution characteristics can be used as the temperature distribution information in the hippocampus freeze-drying device after gradient warming. The temperature distribution information in the hippocampus freeze-drying device after each gradient warming can be obtained in the above manner.

[0064] In some embodiments, determining the temperature distribution uniformity of the hippocampus during the freeze-drying sublimation process using all temperature distribution information can be achieved by using the following steps:

[0065] For each temperature monitoring point, the response temperature of the temperature monitoring point after each gradient heating is obtained from each temperature distribution information;

[0066] Determine the temperature mean of the temperature monitoring point according to all the response temperatures, and then obtain the temperature mean of each temperature monitoring point;

[0067] The uniformity of the temperature distribution of the hippocampus during the freeze-drying sublimation process was determined by the mean of all temperatures.

[0068] It should be noted that, in the present application, distribution uniformity indicates the uniformity of heat distribution within the hippocampus region. The higher the distribution uniformity, the more balanced the heating of each part during the sublimation process. In specific implementation, first, for each temperature monitoring point, the response temperature of the temperature monitoring point after each gradient warming is obtained from each temperature distribution information. Then, the average value of all response temperatures can be used as the temperature mean of the temperature monitoring point. The temperature mean of each temperature monitoring point can be obtained in the above manner. The temperature mean indicates the heating level of each temperature monitoring point during the sublimation stage. Finally, the standard deviation of all response temperatures can be used as the temperature distribution uniformity of the hippocampus during the freeze-drying sublimation process.

[0069] In some embodiments, determining the sublimation rate of ice crystals in the hippocampus during the freeze-drying sublimation process based on the distribution uniformity and all feedback pressures can be achieved by the following steps:

[0070] Obtain the sublimation time of ice crystals in the hippocampus during freeze-drying sublimation;

[0071] Determine the amount of ice crystal vaporization in the hippocampus based on all feedback pressures;

[0072] Performing sublimation correction on the ice crystal vaporization amount according to the distribution uniformity to obtain the ice crystal sublimation amount in the hippocampus;

[0073] The sublimation rate of ice crystals in the hippocampus during the freeze-drying sublimation process is determined by the sublimation amount of ice crystals and the sublimation time.

[0074] It should be noted that, in this application, the sublimation rate is an indicator to measure the efficiency of the direct conversion of water in the seahorse from solid to gas; the sublimation time represents the time from the start of the sublimation stage to the current moment; the ice crystal vaporization amount represents the total amount of water directly sublimated; and the ice crystal sublimation amount represents the mass of ice crystals actually sublimated.

[0075] In the specific implementation, first, the start time and current time of the sublimation stage are recorded by the control system of the seahorse freeze-drying equipment, and the difference in seconds between the current time and the start time is used as the sublimation time of the ice crystals in the seahorse during the freeze-drying sublimation process; secondly, the difference in the measured seahorse mass change is used as the molar mass of the gas vaporized by the ice crystals, the difference in the feedback pressure of all adjacent gradient heating processes is used as the gradient pressure difference, the sum of all gradient pressure differences and the product of the internal volume of the seahorse freeze-drying equipment is used as the total vaporization amount, and the mean of the output temperature of all devices is multiplied by the gas constant (8.314 J / mol•K) is used as the temperature factor, and then the ratio of the total vaporization amount to the temperature factor is used as the gas molar index in the seahorse freeze-drying equipment, and the product of the gas molar index of the ice crystals in the seahorse and the gas molar mass is used as the ice crystal vaporization amount in the seahorse, among which the total vaporization amount reflects the actual dehydration amount of the seahorse in the seahorse freeze-drying equipment during the ice crystal vaporization process; the temperature factor represents the thermal effect index in the seahorse freeze-drying equipment; then, the ratio of the ice crystal vaporization amount to the distribution uniformity can be used as the sublimation correction value, and the sublimation correction value can be used as the ice crystal sublimation amount in the seahorse; finally, the ratio of the ice crystal sublimation amount to the sublimation time can be used as the sublimation rate of the ice crystals in the seahorse during the freeze-drying sublimation process.

[0076] In step 103, when the sublimation rate is lower than a preset sublimation threshold, the fluctuation entropy of the temperature shock to the hippocampus is determined based on the gradient temperature increase value of the device output temperature and the response temperature gradient between each response temperature, and the thermal stability temperature of the hippocampus during the freeze-drying sublimation process is determined according to the fluctuation entropy, the sublimation rate and the pre-freezing temperature.

[0077] In some embodiments, determining the fluctuation entropy of the temperature shock to the hippocampus based on the gradient temperature increase value of the device output temperature and the response temperature gradient between each response temperature can be achieved by the following steps:

[0078] For each gradient heating, obtain the gradient heating value of the device output temperature and the response temperature of each temperature monitoring point before and after the gradient heating;

[0079] Determine the response temperature gradient between the response temperatures at each temperature monitoring point before and after the gradient warming;

[0080] Determining the temperature shock value after the gradient heating according to the response temperature gradient and the gradient heating value, and then obtaining the temperature shock value after each gradient heating;

[0081] Determine the fluctuating entropy of the temperature shock experienced by the hippocampus based on all the temperature shock values.

[0082] It should be noted that in this application, the fluctuation entropy is used to quantify the uncertainty of the temperature shock of the seahorse during the sublimation stage; the gradient heating value is the temperature value used to characterize the heating step; the response temperature gradient refers to the rate of change between the response temperatures before and after each heating; the temperature shock value is used to describe the degree of non-uniformity of the temperature distribution of the seahorse freeze-drying equipment in the sublimation stage during the gradient heating process.

[0083] In specific implementation, first, for each gradient warming, the gradient warming value of the device output temperature and the response temperature of each temperature monitoring point before and after the gradient warming are obtained; secondly, for each temperature monitoring point, the difference between the response temperature after the gradient warming in the temperature monitoring point and the response temperature before the gradient warming in the temperature monitoring point is used as the response temperature gradient between the response temperatures in the temperature monitoring point, and the response temperature gradient between the response temperatures in each temperature monitoring point can be obtained in the above manner; then, for each temperature monitoring point, the absolute value of the difference between the gradient warming value and the response temperature gradient of the temperature monitoring point can be used as the temperature shock amount of the temperature monitoring point, and the temperature shock amount of each temperature monitoring point can be obtained in the above manner, and the sum of all temperature remeasurements can be used as the temperature shock value after the gradient warming, and the temperature shock value after each gradient warming can be obtained in the above manner; finally, the information entropy algorithm can be used to calculate the information entropy of all temperature shock values as the fluctuation entropy of the temperature shock suffered by the hippocampus.

[0084] In some embodiments, the thermal stability temperature of the hippocampus during the freeze-drying sublimation process is determined according to the fluctuation entropy, the sublimation rate, and the pre-freezing temperature, with reference to Figure 3 The figure is a schematic diagram of the process of determining the thermal stability temperature in some embodiments of the present application. In this embodiment, the thermal stability temperature can be determined by the following steps:

[0085] In step 1031, the sublimation rate is compared with a standard sublimation rate in freeze-dried hippocampus production to obtain a sublimation deviation of the hippocampus during the freeze-drying sublimation process;

[0086] In step 1032, the temperature fluctuation limit that the seahorse can withstand is determined based on the sublimation deviation and the fluctuation entropy;

[0087] In step 1033, the thermal stability temperature of the hippocampus during the freeze-drying sublimation process is determined according to the pre-freezing temperature and the temperature fluctuation limit.

[0088] It should be noted that, in the present application, the thermal stability temperature reflects the temperature fluctuation deviation that the seahorse can withstand during the sublimation process; in specific implementation, first, under ideal freeze-drying conditions, a large number of experiments are conducted in combination with standard processes to set the standard sublimation rate in the freeze-drying production of the seahorse, and the absolute value of the difference between the sublimation rate and the standard sublimation rate divided by the standard sublimation rate can be used as the sublimation deviation of the seahorse during the freeze-drying sublimation process. The sublimation deviation indicates the degree to which the actual sublimation rate deviates from the standard sublimation rate; then, the product of 1 minus the sublimation deviation and the fluctuation entropy multiplied by the inverse of the experimental calibration parameter can be used as the temperature fluctuation limit, which refers to the temperature change amplitude that the seahorse can withstand during the sublimation stage while ensuring the freeze-drying quality; finally, the sum of the pre-freezing temperature and the temperature fluctuation limit can be used as the thermal stability temperature of the seahorse during the freeze-drying sublimation process.

[0089] In step 104, the gradient temperature increase of the hippocampus in the subsequent freeze-drying sublimation process is dynamically adaptively adjusted based on the thermal stability temperature to obtain the subsequent adaptive temperature increase value of the hippocampus freeze-drying equipment.

[0090] In some embodiments, the gradient warming of the hippocampus in the subsequent freeze-drying sublimation process is dynamically adaptively adjusted based on the thermal stability temperature, and the adaptive warming value of the hippocampus freeze-drying equipment in the subsequent process is obtained by taking the sum of the thermal stability temperature and the gradient warming value as the adaptive warming value of the hippocampus freeze-drying equipment in the subsequent process; in specific implementation, the thermal stability temperature can be used as the adjustment value of the gradient warming of the hippocampus in the subsequent freeze-drying sublimation process, and the sum of the adjustment value and the gradient warming value can be used as the adaptive warming value of the hippocampus freeze-drying equipment in the subsequent process, and the adaptive warming value is used to perform gradient warming on the hippocampus in the subsequent freeze-drying sublimation process.

[0091] It should be noted that in this application, the adaptive warming value is a warming gradient used to ensure the stable adaptability of the freeze-drying of the seahorse. By dynamically correcting the warming gradient, the temperature output of the equipment can be made closer to the thermal stability target, which helps to improve the uniformity and rate of the sublimation stage of the seahorse. While ensuring the sublimation quality in multiple dimensions, it maximizes the operability of the adjustment and ensures the stable operation of the freeze-drying equipment and the consistency of the final quality of the seahorse.

[0092] In the present application, the gradient temperature increase of the seahorse in the subsequent freeze-drying sublimation process is dynamically adaptively adjusted based on the thermal stability temperature, and the adaptive temperature increase value of the seahorse freeze-drying equipment in the subsequent process is obtained; wherein, the sublimation rate is determined to obtain an efficiency index for measuring the direct conversion of water from solid to gas in the seahorse. A sublimation rate that is too low may cause the residual water to fail to sublimate in time, affecting the drying effect and tissue integrity. Accurate monitoring of the sublimation rate can avoid local sublimation stagnation and overheating, ensure the uniformity and efficiency of the sublimation process, thereby reducing the risk of hippocampal structural collapse, and thus improving the quality and efficiency of the seahorse freeze-drying; then, the thermal stability temperature reflects The temperature fluctuation deviation that the hippocampus can withstand during the sublimation process, and determining the thermal stability temperature can accurately quantify the optimal temperature range in the sublimation process that can both improve the sublimation efficiency and avoid the effects of overheating or low temperature. Through the optimal temperature range, precise control of gradient warming can be achieved, reducing the impact of temperature fluctuations on the hippocampus, improving the uniformity of temperature distribution, and ultimately improving the tissue structure and functional retention of the hippocampus, which not only improves the consistency of the freeze-dried product, but also significantly improves the stability of the entire hippocampus during freeze-drying; in summary, based on the above scheme, dynamic adaptive adjustment of the temperature of the hippocampus during the sublimation process can be achieved, thereby improving the sublimation quality of the hippocampus freeze-dried.

[0093] In addition, in another aspect of the present application, in some embodiments, the present application provides a hippocampus freeze-drying intelligent temperature control system, referring to Figure 4 The figure is a schematic diagram of the structure of the seahorse freeze-drying intelligent temperature control system according to some embodiments of the present application. The seahorse freeze-drying intelligent temperature control system includes: an acquisition module 201, a processing module 202 and an execution module 203, which are described as follows:

[0094] Acquisition module 201, in this application, acquisition module 201 is mainly used to obtain the pre-freezing temperature of the hippocampus during freeze-drying, gradually increase the output temperature of the device during the freeze-drying sublimation process of the hippocampus from the pre-freezing temperature, and after each gradient increase, collect the feedback pressure of the hippocampus freeze-drying device and the response temperature of each temperature monitoring point in the hippocampus freeze-drying device;

[0095] Processing module 202, in the present application, is used to determine temperature distribution information in the hippocampus freeze-drying device after each gradient warming based on all response temperatures, determine the temperature distribution uniformity of the hippocampus during the freeze-drying sublimation process based on all temperature distribution information, and determine the sublimation rate of ice crystals in the hippocampus during the freeze-drying sublimation process based on the distribution uniformity and all feedback pressures;

[0096] It should be noted that the processing module 202 is further configured to determine the fluctuation entropy of the temperature shock to which the hippocampus is subjected based on the gradient temperature increase value of the device output temperature and the response temperature gradient between each response temperature when the sublimation rate is lower than a preset sublimation threshold, and determine the thermal stability temperature of the hippocampus during the freeze-drying sublimation process based on the fluctuation entropy, the sublimation rate, and the pre-freezing temperature;

[0097] Execution module 203, in this application, execution module 203 is mainly used to dynamically adaptively adjust the gradient temperature increase of the hippocampus in the subsequent freeze-drying sublimation process based on the thermal stability temperature, and obtain the subsequent adaptive temperature increase value of the hippocampus freeze-drying equipment.

[0098] The above describes in detail the examples of the intelligent temperature control system and method for freeze-drying of hippocampus provided in the embodiments of the present application. It can be understood that the corresponding device includes hardware structures and / or software modules corresponding to the execution of each function in order to realize the above functions. It should be easily appreciated by those skilled in the art that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0099] In some embodiments, the present application also provides a computer device, which includes a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned hippocampus freeze-drying intelligent temperature control method.

[0100] In some embodiments, reference Figure 5 The dotted line in the figure indicates that the unit or module is optional. The figure is a structural diagram of a computer device for implementing the intelligent temperature control method for freeze-drying hippocampus according to an embodiment of the present application. The intelligent temperature control method for freeze-drying hippocampus described in the above embodiment can be Figure 5 The computer device shown in the figure is implemented, and the computer device includes at least one processor 301, a memory 302 and at least one communication unit 305. The computer device can be a terminal device, a server or a chip.

[0101] The processor 301 may be a general-purpose processor or a dedicated processor. For example, the processor 301 may be a central processing unit (CPU), which may be used to control the computer device, execute software programs, and process data from the software programs. The computer device may also include a communication unit 305 for inputting (receiving) and outputting (transmitting) signals.

[0102] For example, the computer device may be a chip, the communication unit 305 may be an input and / or output circuit of the chip, or the communication unit 305 may be a communication interface of the chip, and the chip may be a component of a terminal device, a network device, or other device.

[0103] For another example, the computer device may be a terminal device or a server, and the communication unit 305 may be a transceiver of the terminal device or the server, or the communication unit 305 may be a transceiver circuit of the terminal device or the server.

[0104] The computer device may include one or more memories 302, on which a program 304 is stored. The program 304 can be executed by the processor 301 to generate instructions 303, so that the processor 301 executes the method described in the above method embodiment according to the instructions 303. Optionally, data (such as a target audit model) can also be stored in the memory 302. Optionally, the processor 301 can also read data stored in the memory 302. The data can be stored at the same storage address as the program 304, or at a different storage address from the program 304.

[0105] The processor 301 and the memory 302 may be provided separately or integrated together, for example, integrated on a system on chip (SOC) of a terminal device.

[0106] It should be understood that each step of the above method embodiment can be completed by a hardware-based logic circuit or software-based instructions in the processor 301. The processor 301 can be a CPU, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, such as discrete gates, transistor logic devices, or discrete hardware components.

[0107] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0108] For example, in some embodiments, the present application also provides a computer-readable storage medium, which stores instructions or codes. When the instructions or codes are run on a computer, the computer implements the above-mentioned intelligent temperature control method for freeze-drying of hippocampus.

[0109] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0110] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. An intelligent temperature control method for freeze-drying hippocampus, characterized in that: The steps include: Obtaining the pre-freezing temperature of the hippocampus during freeze-drying, gradually increasing the output temperature of the device during the freeze-drying sublimation process of the hippocampus from the pre-freezing temperature, and collecting the feedback pressure of the hippocampus freeze-drying device and the response temperature of each temperature monitoring point in the hippocampus freeze-drying device after each gradient temperature increase; Determining temperature distribution information in the seahorse freeze-drying device after each gradient warming according to all response temperatures, determining the temperature distribution uniformity of the seahorse during the freeze-drying sublimation process according to all temperature distribution information, and determining the sublimation rate of ice crystals in the seahorse during the freeze-drying sublimation process based on the distribution uniformity and all feedback pressures; When the sublimation rate is lower than a preset sublimation threshold, the fluctuation entropy of the temperature shock to the hippocampus is determined based on the gradient temperature increase value of the device output temperature and the response temperature gradient between each response temperature, and the thermal stability temperature of the hippocampus during the freeze-drying sublimation process is determined according to the fluctuation entropy, the sublimation rate and the pre-freezing temperature; Based on the thermal stability temperature, the gradient temperature increase of the hippocampus in the subsequent freeze-drying sublimation process is dynamically and adaptively adjusted to obtain the subsequent adaptive temperature increase value of the hippocampus freeze-drying equipment; Wherein, determining the sublimation rate of ice crystals in the hippocampus during the freeze-drying sublimation process based on the distribution uniformity and all feedback pressures specifically includes: Obtain the sublimation time of ice crystals in the hippocampus during freeze-drying sublimation; Determine the amount of ice crystal vaporization in the hippocampus based on all feedback pressures; Performing sublimation correction on the ice crystal vaporization amount according to the distribution uniformity to obtain the ice crystal sublimation amount in the hippocampus; Determining the sublimation rate of ice crystals in the hippocampus during the freeze-drying sublimation process according to the sublimation amount of ice crystals and the sublimation time; The method for determining the fluctuation entropy of the temperature shock to the hippocampus based on the gradient temperature increase value of the device output temperature and the response temperature gradient between each response temperature specifically includes: For each gradient heating, obtain the gradient heating value of the device output temperature and the response temperature of each temperature monitoring point before and after the gradient heating; Determine the response temperature gradient between the response temperatures at each temperature monitoring point before and after the gradient warming; Determine the temperature shock value after gradient heating by using the response temperature gradient and the gradient heating value, and then obtain the temperature shock value after each gradient heating. In a specific implementation, for each temperature monitoring point, the absolute value of the difference between the gradient heating value and the response temperature gradient of the temperature monitoring point is used as the temperature shock value of the temperature monitoring point, and then obtain the temperature shock value of each temperature monitoring point, and then the sum of all temperature shock values is used as the temperature shock value after gradient heating; Determine the fluctuation entropy of the temperature shock experienced by the hippocampus based on all the temperature shock values; Wherein, determining the thermal stability temperature of the hippocampus during the freeze-drying sublimation process according to the fluctuation entropy, the sublimation rate, and the pre-freezing temperature specifically includes: Comparing the sublimation rate with the standard sublimation rate in the freeze-dried production of seahorse, to obtain the sublimation deviation of the seahorse during the freeze-drying sublimation process; Determining the temperature fluctuation limit that the hippocampus can withstand based on the sublimation deviation and the fluctuation entropy, wherein the temperature fluctuation limit refers to the temperature change amplitude that the hippocampus can withstand during the sublimation stage while ensuring the freeze-drying quality; The thermal stability temperature of the hippocampus during the freeze-drying sublimation process is determined by the pre-freezing temperature and the temperature fluctuation limit.

2. The method according to claim 1, wherein The temperature distribution information in the hippocampus freeze-drying device after each gradient temperature increase is determined based on all response temperatures, specifically including: For each temperature gradient increase, the response temperature of each temperature monitoring point in the seahorse freeze-drying device after the temperature gradient increase is obtained; Determine the distribution characteristics of each response temperature according to the location information of each temperature monitoring point; The temperature distribution information in the hippocampus freeze-drying device after gradient warming is determined through all the distribution characteristics, and then the temperature distribution information in the hippocampus freeze-drying device after each gradient warming is obtained.

3. The method according to claim 1, wherein The temperature distribution uniformity of the seahorse during the freeze-drying sublimation process is determined by all the temperature distribution information, including: For each temperature monitoring point, the response temperature of the temperature monitoring point after each gradient heating is obtained from each temperature distribution information; Determine the temperature mean of the temperature monitoring point according to all the response temperatures, and then obtain the temperature mean of each temperature monitoring point; The uniformity of the temperature distribution of the hippocampus during the freeze-drying sublimation process was determined by the mean of all temperatures.

4. The method according to claim 1, wherein A vacuum sensor is used to collect the feedback pressure of the seahorse freeze-drying equipment.

5. An intelligent temperature control system for freeze-drying hippocampus, which uses the method according to any one of claims 1 to 4 to perform intelligent temperature control on freeze-drying hippocampus, characterized in that: The system includes: An acquisition module is used to obtain the pre-freezing temperature of the hippocampus during freeze-drying, gradually increase the output temperature of the device during the freeze-drying sublimation process of the hippocampus from the pre-freezing temperature, and after each gradient increase in temperature, collect the feedback pressure of the hippocampus freeze-drying device and the response temperature of each temperature monitoring point in the hippocampus freeze-drying device; a processing module for determining temperature distribution information in the seahorse freeze-drying device after each gradient warming according to all response temperatures, determining the temperature distribution uniformity of the seahorse during the freeze-drying sublimation process based on all temperature distribution information, and determining the sublimation rate of ice crystals in the seahorse during the freeze-drying sublimation process based on the distribution uniformity and all feedback pressures; The processing module is further configured to determine, when the sublimation rate is lower than a preset sublimation threshold, a fluctuation entropy of the temperature shock to which the hippocampus is subjected based on a gradient temperature increase value of the device output temperature and a response temperature gradient between each response temperature, and determine a thermal stability temperature of the hippocampus during the freeze-drying sublimation process based on the fluctuation entropy, the sublimation rate, and the pre-freezing temperature; The execution module is used to dynamically and adaptively adjust the gradient temperature increase of the hippocampus in the subsequent freeze-drying sublimation process based on the thermal stability temperature, and obtain the subsequent adaptive temperature increase value of the hippocampus freeze-drying equipment.

6. A computer device, characterized in that: The computer device includes a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the intelligent temperature control method for freeze-drying hippocampus according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions or codes, which, when executed on a computer, enable the computer to implement the intelligent temperature control method for freeze-drying of hippocampus according to any one of claims 1 to 4.

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