Temperature control system of medicinal material vacuum drying machine

Abstract

The invention discloses a temperature control system of a medicinal material vacuum drying machine, and particularly relates to the technical field of medicinal material processing equipment.The temperature control system is characterized in that a drying evaluation index is calculated according to a drying rate value, a drying shrinkage rate and a drying influence value of each sub-region in combination with a preset allowable rate value, a preset allowable shrinkage rate and an optimal water vapor partial pressure; and comparing the drying evaluation index with a reference evaluation index, triggering a cooling or heating signaling, calculating a cooling degree value or a heating degree value, matching a corresponding temperature adjustment value, further determining the initial temperature of the next sub-time window, and integrating the initial temperatures of the sub-regions to determine a temperature setting scheme of the drying machine of the next sub-time window. By independently monitoring and analyzing the drying state of each sub-region, a differentiated temperature regulation scheme is formulated, the problem of non-uniform drying of each region is effectively improved, and the consistency of the overall medicinal material quality is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of medicinal material processing equipment, and more particularly to a temperature control system of a medicinal material vacuum dryer. Background Art

[0002] In the process of medicinal material processing, drying is a crucial link that directly affects the quality and efficacy of the medicinal materials. Vacuum dryers are widely used in the field of medicinal material drying due to their advantages such as fast drying speed and ability to retain the effective ingredients of medicinal materials.

[0003] However, the temperature control system of the existing medicinal material vacuum dryer still has the following deficiencies in actual application: There is often a problem of low temperature control accuracy. It is difficult to accurately adjust the temperature according to the changes in the drying stages of different medicinal materials, resulting in over-drying or under-drying of the medicinal materials, affecting the quality and efficacy of the medicinal materials, and may also cause energy waste; In addition, the temperature distribution in different areas of the dryer cavity is uneven due to the influence of heating source distribution, airflow dead corners, and differences in medicinal material stacking density. Targeted adjustments cannot be made based on the drying conditions of medicinal materials distributed in different areas, resulting in different drying degrees for the same batch of medicinal materials, further exacerbating quality fluctuations.

[0004] Therefore, a temperature control system of a medicinal material vacuum dryer is introduced. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a temperature control system for a medicinal material vacuum dryer.

[0006] To achieve the above object, the present invention provides the following technical solutions: A temperature control system for a medicinal material vacuum dryer includes the following modules: Information input module: input the type information of medicinal materials into the pre-built medicinal material characteristics database for matching, and determine the initial temperature setting of the current medicinal materials; the medicinal material characteristics database stores the initial temperature settings of different medicinal material types; State Correction Module: This module pre-divides the duration of sub-time windows and monitors the drying status of the medicinal materials in the current sub-time window in real time for analysis. Based on the analysis results, it determines the temperature setting for the dryer in the next sub-time window. The drying status information includes moisture content, surface morphology characteristics, and water vapor partial pressure in the dryer cavity. Temperature determination module: obtains and analyzes the temperature setting plan of the dryer in the next sub-time window, and adjusts the temperature of the dryer based on the analysis results.

[0007] Specifically, the real-time monitoring of the moisture content of the medicinal materials in the current sub-time window for analysis is as follows: Divide the dryer cavity into sub-areas and obtain the weight data of the medicinal materials in each sub-area at the starting point and the ending point within the current sub-time window; The weight data of the starting point and the ending point are marked as a1 and a2 respectively, and the initial weight and initial moisture content of each sub-area are marked as a3 and a4 respectively; According to the formula Calculate the moisture content g1 and g2 of the medicinal materials in each sub-region at the starting point and the ending point; The difference between the moisture content g2 of the medicinal materials at the end point and the moisture content g1 at the starting point of each sub-region is calculated, and the calculated difference is divided by the sub-time window length to obtain the drying rate value of each sub-region.

[0008] Specifically, the real-time monitoring and analysis of the apparent morphological characteristics of the medicinal materials in the current sub-time window is as follows: Extract the image data of the starting point and the ending point of each sub-region medicinal material in the current sub-time window from the apparent morphological features; The medicinal material area in the image data of the starting point and the ending point is segmented, and the number of pixels in the image data of the starting point and the ending point is counted after segmentation, which is used as the surface area of ​​the starting point and the surface area of ​​the ending point of each sub-region; the surface area of ​​the starting point is subtracted from the surface area of ​​the ending point, and the difference is divided by the surface area of ​​the starting point to obtain the drying shrinkage rate of the medicinal materials in each sub-region in the current sub-time window.

[0009] Specifically, the real-time monitoring of the water vapor partial pressure in the cavity of the current sub-time window for analysis is as follows: The water vapor partial pressure of each sub-area in the machine cavity within the current sub-time window is detected, and a water vapor partial pressure data sequence of each sub-area is constructed. After calculating the average value of each group of data in the water vapor partial pressure data sequence, the water vapor state value of each sub-area is obtained; after performing trend analysis on the water vapor partial pressure data sequence, the additional coefficient of each sub-area is determined, and the water vapor state value of each sub-area is extracted and multiplied with the corresponding additional coefficient as the drying influence value of each sub-area.

[0010] Specifically, the additional coefficients of each sub-region are determined after trend analysis of the water vapor partial pressure data sequence, specifically: Extract the water vapor partial pressure at each time point from the water vapor partial pressure data sequence of each sub-region. Compare the water vapor partial pressures at adjacent time points. If the water vapor partial pressure on the right side of the adjacent time point is higher than the water vapor partial pressure on the left side, calculate the difference and take the absolute value as the water vapor rise value; if the water vapor partial pressure on the right side of the adjacent time point is lower than the water vapor partial pressure on the left side, calculate the difference and take the water vapor fall value; The water vapor rise values ​​and water vapor drop values ​​of each group in the current sub-time window are summed up to obtain the total rise value and the total drop value, and the difference between the total rise value and the total drop value is calculated to obtain the water vapor change value; the water vapor change value of each sub-area is input into each group of preset change value intervals for matching, and each group of change value intervals corresponds to an additional coefficient. After matching, the additional coefficient converted from the water vapor change value of each sub-area is determined.

[0011] Specifically, the temperature setting scheme of the dryer in the next sub-time window is determined based on the analysis results, specifically: The drying rate value, drying shrinkage rate and drying influence value of each sub-region in the current sub-time window are marked as ; Preset the allowable rate value, allowable shrinkage rate and optimal water vapor partial pressure corresponding to the drying rate value, drying shrinkage rate and drying impact value of each sub-area, and use express; According to the formula Calculate the dryness assessment index of each sub-region in the current sub-time window ;in are the weight coefficients of drying rate value, drying shrinkage rate and drying influence value respectively; For each sub-area in the current sub-time window, the dryness evaluation index , are compared with the corresponding preset reference evaluation index. If the dryness evaluation index of a sub-area in the current sub-time window is If it is greater than the reference evaluation index, a cooling signal is triggered, otherwise a heating signal is triggered; After triggering the cooling signal, calculate the dryness assessment index The difference between the reference evaluation index and the reference evaluation index is used as the cooling degree value. After the heating signal is triggered, the dryness evaluation index is calculated. The absolute value of the difference between the reference assessment index and the reference assessment index is taken as the temperature rise value; Preset the cooling degree values ​​and heating degree values ​​corresponding to the respective cooling intervals and heating intervals, and each cooling interval and heating interval corresponds to a set of temperature adjustment values; after matching the cooling degree values ​​or heating degree values ​​with the corresponding cooling intervals or heating intervals, determine the temperature adjustment value of the sub-area; If a sub-area triggers a cooling signal, the temperature is lowered after the temperature adjustment value is determined as the initial temperature of the next sub-time window; if a sub-area triggers a heating signal, the temperature is raised after the temperature adjustment value is determined as the initial temperature of the next sub-time window.

[0012] Specifically, it also includes an abnormality assessment module: when a sub-area triggers a temperature increase signal or a temperature decrease signal for X consecutive sub-time windows, it is marked as an abnormal area. After executing the corresponding steps for the abnormal area, the abnormal signal is selectively triggered and sent to the management personnel; where X>3.

[0013] Specifically, the selective triggering of abnormal signaling after executing corresponding steps for the abnormal area is specifically: After identifying the location of the sub-region, the initial temperature determined in X sub-time windows is extracted as the real-time temperature data Ki; where i represents the number of each sub-time window, i=1,2,...,X; Extract the type information of the currently dried medicinal materials, and extract historical drying cases that match the currently dried medicinal materials from a pre-built historical drying database; Divide the time intervals that match the current X sub-time windows from each group of historical drying cases, and extract the initial temperatures of the X sub-time windows corresponding to each group of historical drying cases as historical temperature data Ui; substitute the real-time temperature data and historical temperature data into the formula Calculation is performed to obtain the matching degree value R of each group of historical drying cases; Zi represents the weight coefficient corresponding to each sub-time window; if the matching degree value R of a historical drying case is less than the preset degree reference value, no abnormal signaling is triggered; if the matching degree value R of each group of historical drying cases is greater than the preset degree reference value, an abnormal signaling is triggered and sent to the management personnel.

[0014] Technical effects and advantages of the present invention: (1) The present invention calculates the drying evaluation index for the drying rate value, drying shrinkage rate and drying impact value of each sub-region, combined with the preset allowable rate value, allowable shrinkage rate and optimal water vapor partial pressure, compares the drying evaluation index with the reference evaluation index, triggers the cooling or heating signal, calculates the cooling degree value or the heating degree value, matches the corresponding temperature adjustment value, and then determines the initial temperature of the next sub-time window. The initial temperature of each sub-region is integrated to determine the temperature setting plan of the dryer for the next sub-time window. By independently monitoring and analyzing the drying status of each sub-region, a differentiated temperature adjustment plan is formulated, which effectively improves the problem of uneven drying in each region and ensures the consistency of the overall medicinal material quality; (2) The present invention identifies the location of the abnormal sub-region, extracts the initial temperature within X sub-time windows as real-time temperature data, extracts the current medicinal material type information, extracts matching historical drying cases from the historical drying database, divides the corresponding time interval and extracts the initial temperature as historical temperature data; calculates the matching degree value based on the real-time temperature data and the historical temperature data, and if there is a historical case whose value is less than the preset degree reference value, no abnormal signaling is triggered; if all historical cases are greater than the preset degree reference value, an abnormal signaling is triggered and sent to the management personnel, thereby avoiding missed judgment and misjudgment of abnormal situations, facilitating timely intervention and processing by management personnel, and ensuring the stability of the drying process; (3) The present invention accurately adjusts the temperature according to the characteristics of different medicinal materials and the changes in the drying stage, thereby improving the temperature control accuracy, avoiding over-drying or under-drying of medicinal materials, ensuring the quality and efficacy of medicinal materials, and reducing energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of the temperature control system of a medicinal material vacuum dryer according to the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0017] Example like Figure 1 As shown, the temperature control system module of a medicinal material vacuum drying machine is as follows: The information input module is used to input the type information of the medicinal material into the pre-built medicinal material characteristic database for matching, and determine the initial temperature setting of the current medicinal material; the medicinal material characteristic database stores the initial temperature settings of different medicinal material types; The state correction module is used to pre-divide the duration of sub-time windows according to the type of medicinal material, and monitor the drying status information of the medicinal materials in the current sub-time window in real time for analysis. Based on the analysis results, the temperature setting plan of the dryer for the next sub-time window is determined. The drying status information includes moisture content, apparent morphological characteristics, and water vapor partial pressure in the dryer cavity. Real-time status monitoring requires the use of weight sensors, near-infrared sensors, and image recognition devices. The weight sensor is used to monitor the weight loss rate of the medicinal materials to estimate the moisture content; the near-infrared sensor is used to directly detect the moisture content of the medicinal materials; and the image recognition device is used to monitor the morphological changes of the medicinal materials, such as whether there is shrinkage or scorching. Specifically: The dryer cavity is divided into various sub-areas based on the location of the heat source and the direction of the airflow; for example, the area near the heat source, the airflow dead corner area, and the central accumulation area; Using the independent weight sensors in each sub-region, the weight data of the medicinal materials in each sub-region at the starting point and the ending point in the current sub-time window are obtained; The weight data of the starting point and the ending point are marked as a1 and a2 respectively, and the initial weight and initial moisture content of each sub-area are marked as a3 and a4 respectively; According to the formula Calculate the moisture content g1 and g2 of the medicinal materials in each sub-region at the starting point and the ending point; Calculate the difference between the moisture content g2 of the medicinal materials at the end point and the moisture content g1 at the starting point of each sub-region, and divide the calculated difference by the sub-time window duration to obtain the drying rate value of each sub-region; If the drying rate is too fast (e.g., 20% of the ideal rate for this medicinal material), it means that the current temperature may be too high, which may easily lead to surface crusting; if the drying rate is too slow, it means that the temperature is insufficient or water diffusion is blocked, and the temperature needs to be increased appropriately; Extracting image data of the starting point and the ending point of each sub-region medicinal material in the current sub-time window from the apparent morphological features; collecting the data through an image recognition device; Segmenting the medicinal material region from the image data of the starting point and the ending point; using threshold segmentation; counting the number of pixels in the image data of the starting point and the ending point after segmentation to obtain the surface area of ​​the starting point and the surface area of ​​the ending point of each sub-region; subtracting the surface area of ​​the ending point from the surface area of ​​the starting point, and dividing the difference by the surface area of ​​the starting point to obtain the drying shrinkage rate of the medicinal material in each sub-region within the current sub-time window; If the drying shrinkage rate is too fast, it means that the current temperature may be too high, which may cause wrinkles on the surface; The humidity sensor detects the water vapor partial pressure of each sub-area in the machine cavity within the current sub-time window, constructs a water vapor partial pressure data sequence for each sub-area, and calculates the average value of each group of data in the water vapor partial pressure data sequence to obtain the water vapor state value of each sub-area; Water vapor partial pressure indirectly reflects the difficulty of evaporation of water from medicinal materials (the higher the water vapor partial pressure, the more difficult it is to evaporate water). If the water vapor partial pressure is persistently high (e.g., exceeding 60% of the saturated water vapor pressure under the current vacuum), even if the rate of moisture content decreases normally, it is necessary to moderately increase the temperature to break the water evaporation balance. If the water vapor partial pressure is low, the temperature of the sub-region should be moderately lowered to slow the evaporation rate of surface water. Extract the water vapor partial pressure at each time point from the water vapor partial pressure data sequence of each sub-region. Compare the water vapor partial pressures at adjacent time points. If the water vapor partial pressure on the right side of the adjacent time point is higher than the water vapor partial pressure on the left side, calculate the difference and take the absolute value as the water vapor rise value; if the water vapor partial pressure on the right side of the adjacent time point is lower than the water vapor partial pressure on the left side, calculate the difference and take the water vapor fall value; The water vapor rise and fall values ​​of each group in the current sub-time window are summed up to obtain the total rise value and the total fall value, and the difference between the total rise value and the total fall value is calculated to obtain the water vapor change value; Supplementary explanation: When the water vapor change value is positive and large: it means that the water evaporation in this sub-region is in an "active period" (for example, the water in the deep layer of the medicinal materials in the central area diffuses to the surface, causing the water vapor partial pressure to fluctuate and rise); When the water vapor change value is negative and large: water evaporation enters the "decay period" (for example, the surface of the medicinal materials in the marginal area has dried up, the water supply is insufficient, and the water vapor partial pressure continues to decrease); This dynamic quantification can avoid misjudgments caused by "the moisture content meets the standard at a certain moment but may rebound later", providing a more reliable trend basis for temperature regulation; The water vapor change value of each sub-region is input into each set of preset change value intervals for matching, and each set of change value intervals corresponds to an additional coefficient; the value range of the additional coefficient is set to 0.896-1.138. If the water vapor change value is positive, the matching additional coefficient is greater than 1, and the larger the value, the higher the probability of matching 1.138. If the water vapor change value is negative, the matching additional coefficient is less than 1, and the larger the negative value, the higher the probability of matching 0.896. After matching, the additional coefficient converted from the water vapor change value of each sub-region is determined, the water vapor state value of each sub-region is extracted and multiplied by the corresponding additional coefficient as the drying impact value of each sub-region; The drying rate value, drying shrinkage rate and drying influence value of each sub-region in the current sub-time window are marked as ; Preset the allowable rate value, allowable shrinkage rate and optimal water vapor partial pressure corresponding to the drying rate value, drying shrinkage rate and drying impact value of each sub-area, and use The setting of the allowable rate value, allowable shrinkage rate and optimal water vapor partial pressure is specifically set by combining the characteristics of the medicinal materials, the drying stage and the quality target; According to the formula Calculate the dryness assessment index of each sub-region in the current sub-time window ;in are the weight coefficients of drying rate value, drying shrinkage rate and drying influence value respectively; To supplement, the drying rate reflects the efficiency of water evaporation, the drying shrinkage reflects the stability of the medicinal material's morphology, and the drying impact value is related to the dynamic balance of the water evaporation environment (combined with the water vapor partial pressure and its changing trend). These three factors, when integrated into a drying assessment index through weighted coefficients, overcome the limitations of a single indicator. For example, if the temperature is lowered solely based on the drying rate, the potential risk of "excessive drying of the surface due to low water vapor partial pressure, which hinders subsequent water diffusion" will be ignored. The comprehensive index takes into account the synergistic relationship between efficiency, morphology, and the environment, allowing temperature regulation to more closely reflect the actual drying state of the medicinal material. Because drying conditions vary across different sub-areas within the dryer (such as those near the heat source and areas with airflow dead zones), the drying evaluation index is calculated independently for each sub-area. This means that differentiated temperature adjustment plans can be developed based on the index results for each area. For example, if the index for the area near the heat source indicates excessive drying speed and excessive shrinkage, appropriate temperature reduction can be employed. If the index for the area with airflow dead zones indicates low drying efficiency and high water vapor partial pressure, targeted temperature increases are necessary. This precise zoning adjustment can effectively improve uneven drying across different areas and ensure consistent quality of the medicinal materials overall. For each sub-area in the current sub-time window, the dryness evaluation index , are compared with the corresponding preset reference evaluation index. If the dryness evaluation index of a sub-area in the current sub-time window is If it is greater than the reference evaluation index, a cooling signal is triggered, otherwise a heating signal is triggered; The reference evaluation index should be preset based on the type of medicinal material (e.g., the reference value for heat-sensitive medicinal materials should be lower to avoid high temperature risks); it should be dynamically updated according to the drying stage (e.g., the reference value can be slightly higher in the early stages of drying to allow for faster drying rates; the reference value should be lowered in the later stages to limit over-drying); and it can be iteratively optimized using historical batch data (e.g., if a certain medicinal material frequently suffers from quality problems due to a high index at a certain stage, the reference value for that stage can be lowered); After triggering the cooling signal, calculate the dryness assessment index The difference between the reference evaluation index and the reference evaluation index is used as the cooling degree value. After the heating signal is triggered, the dryness evaluation index is calculated. The absolute value of the difference between the reference assessment index and the reference assessment index is taken as the temperature rise value; Preset the cooling degree values ​​and heating degree values ​​corresponding to the respective cooling intervals and heating intervals, and each cooling interval and heating interval corresponds to a set of temperature adjustment values; after matching the cooling degree values ​​or heating degree values ​​with the corresponding cooling intervals or heating intervals, determine the temperature adjustment value of the sub-area; If a sub-area triggers a temperature reduction signal, the temperature is lowered after the temperature adjustment value is determined and used as the initial temperature of the next sub-time window; If a sub-area triggers a temperature increase signal, the temperature is increased after the temperature adjustment value is determined and used as the initial temperature of the next sub-time window; In addition, when heating, the final temperature must not exceed the thermal sensitivity threshold of the medicinal material (e.g. mint ≤ 40°C). Even if the temperature rise value matches the maximum adjustment value, it must be forcibly truncated to within the threshold. When cooling, the final temperature must not be lower than the boiling point of water under the current vacuum degree (for example, the boiling point is ≈ 35°C when the vacuum degree is -0.09MPa) to avoid stagnation of water evaporation due to too low a temperature.

[0018] Integrate the initial temperatures of each sub-area in the next sub-time window to determine the temperature setting plan of the dryer in the next sub-time window; In addition, if two adjacent groups of sub-areas in each sub-area trigger the temperature increase signaling, the average value is taken as the temperature adjustment value of the two adjacent groups of sub-areas, and the same applies to the temperature reduction signaling; The temperature determination module is used to obtain and analyze the temperature setting plan of the dryer in the next sub-time window, and adjust the temperature of the dryer based on the analysis result; The abnormality assessment module is used to mark a sub-area as an abnormal area when the temperature increase signaling or temperature decrease signaling is triggered for X consecutive sub-time windows. After executing the corresponding steps for the abnormal area, the abnormality signaling is selectively triggered and sent to the management personnel; where X>3, the specific number is set by the technical staff; Specifically: After identifying the location of the sub-region, the initial temperature determined in X sub-time windows is extracted as the real-time temperature data Ki; where i represents the number of each sub-time window, i=1,2,...,X; Extract the type information of the currently dried medicinal materials and extract historical drying cases that match the currently dried medicinal materials from the pre-built historical drying database; after the drying is completed and the process is deemed qualified by the technicians, it will be stored in the historical drying database; Divide the time intervals that match the current X sub-time windows from each group of historical drying cases, and extract the initial temperatures of the X sub-time windows corresponding to each group of historical drying cases as historical temperature data Ui; For real-time temperature data and historical temperature data, substitute the formula Calculation is performed to obtain the matching degree value R of each group of historical drying cases; where Zi represents the weight coefficient corresponding to each sub-time window; If the matching degree value R of a certain historical drying case is less than the preset degree reference value, no abnormal signaling is triggered. If the matching degree values ​​R of all groups of historical drying cases are greater than the preset degree reference value, an abnormal signaling is triggered and sent to the management personnel. To supplement, when a sub-area triggers same-direction signaling for X consecutive windows (X>3), it indicates that the dryness of the area has deviated from the normal trend (such as continuous under-drying or over-drying), and simple stage-by-stage temperature adjustment cannot correct it. By comparing real-time temperature data with the temperature data of historical qualified cases, the degree of deviation is quantified using the "matching value R", rather than simply judging abnormalities based on subjective experience: If the matching degree value R of a historical case is less than the reference value, it means that the current abnormal trend has appeared in the historical qualified batches and the final drying result meets the standard (this may be due to the unique drying law of this type of medicinal material, such as a certain area requiring four consecutive temperature increases due to structural characteristics before stabilization). In this case, no warning will be triggered to avoid "normal fluctuations being misjudged as abnormalities"; If the R value for all historical cases is greater than the reference value, it indicates that the current trend is contrary to the pattern of all qualified cases (for example, in historical cases, the temperature in the area rose continuously for a maximum of three times, but it has now risen for five times). There is a high probability that a true anomaly (such as equipment failure or parameter error) exists. At this time, an early warning is triggered to avoid "real anomalies being missed." This "data-driven" judgment method makes anomaly identification both rigorous and flexible, balancing early warning sensitivity and accuracy. The above formulas are all dimensionless and calculated numerically. Specific dimension removal can be achieved by various means such as standardization, which will not be elaborated here. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0019] The above embodiments can be implemented in whole or in part via software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When loaded or executed on a computer, the processes or functions described in the embodiments of this application are fully or partially performed. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. The available medium can be magnetic media (e.g., floppy disks, ATA hard drives, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state ATA hard drive.

[0020] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0021] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software 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 beyond the scope of this application.

[0022] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0023] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, and may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment as needed.

[0024] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0025] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile ATA hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program code.

[0026] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A temperature control system for a medicinal material vacuum dryer, characterized in that: Includes the following modules: Information input module: input the type information of medicinal materials into the pre-built medicinal material characteristics database for matching, and determine the initial temperature setting of the current medicinal materials; the medicinal material characteristics database stores the initial temperature settings of different medicinal material types; State correction module: pre-divides the duration of sub-time windows, monitors the drying status of medicinal materials in the current sub-time window in real time, and analyzes it. Based on the analysis results, the temperature setting plan of the dryer in the next sub-time window is determined; The drying state information includes moisture content, surface morphology characteristics and water vapor partial pressure in the machine cavity; Temperature determination module: obtains and analyzes the temperature setting plan of the dryer in the next sub-time window, and adjusts the temperature of the dryer based on the analysis results.

2. The temperature control system of a medicinal material vacuum drying machine according to claim 1, characterized in that: The real-time monitoring and analysis of the moisture content of medicinal materials in the current sub-time window is as follows: Divide the dryer cavity into sub-areas and obtain the weight data of the medicinal materials in each sub-area at the starting point and the ending point within the current sub-time window; The weight data of the starting point and the ending point are marked as a1 and a2 respectively, and the initial weight and initial moisture content of each sub-area are marked as a3 and a4 respectively; According to the formula Calculate the moisture content g1 and g2 of the medicinal materials in each sub-region at the starting point and the ending point; The difference between the moisture content g2 of the medicinal materials at the end point and the moisture content g1 at the starting point of each sub-region is calculated, and the calculated difference is divided by the sub-time window length to obtain the drying rate value of each sub-region.

3. The temperature control system of a medicinal material vacuum drying machine according to claim 2, characterized in that: The real-time monitoring and analysis of the medicinal material appearance morphological characteristics information within the current sub-time window is specifically as follows: Extract the image data of the starting point and the ending point of each sub-region medicinal material in the current sub-time window from the apparent morphological features; The medicinal material area in the image data of the starting point and the ending point is segmented, and the number of pixels in the image data of the starting point and the ending point is counted after segmentation, which is used as the surface area of ​​the starting point and the surface area of ​​the ending point of each sub-region; the surface area of ​​the starting point is subtracted from the surface area of ​​the ending point, and the difference is divided by the surface area of ​​the starting point to obtain the drying shrinkage rate of the medicinal materials in each sub-region in the current sub-time window.

4. The temperature control system of a medicinal material vacuum drying machine according to claim 3, characterized in that: The real-time monitoring of the water vapor partial pressure in the cavity in the current sub-time window for analysis is specifically as follows: The water vapor partial pressure of each sub-area in the machine cavity within the current sub-time window is detected, and a water vapor partial pressure data sequence of each sub-area is constructed. After calculating the average value of each group of data in the water vapor partial pressure data sequence, the water vapor state value of each sub-area is obtained; after performing trend analysis on the water vapor partial pressure data sequence, the additional coefficient of each sub-area is determined, and the water vapor state value of each sub-area is extracted and multiplied with the corresponding additional coefficient as the drying influence value of each sub-area.

5. The temperature control system of a medicinal material vacuum drying machine according to claim 4, characterized in that: The additional coefficients of each sub-region are determined after trend analysis of the water vapor partial pressure data series, specifically: Extract the water vapor partial pressure at each time point from the water vapor partial pressure data sequence of each sub-region. Compare the water vapor partial pressures at adjacent time points. If the water vapor partial pressure on the right side of the adjacent time point is higher than the water vapor partial pressure on the left side, calculate the difference and take the absolute value as the water vapor rise value; if the water vapor partial pressure on the right side of the adjacent time point is lower than the water vapor partial pressure on the left side, calculate the difference and take the water vapor fall value; The water vapor rise values ​​and water vapor drop values ​​of each group in the current sub-time window are summed up to obtain the total rise value and the total drop value, and the difference between the total rise value and the total drop value is calculated to obtain the water vapor change value; the water vapor change value of each sub-area is input into each group of preset change value intervals for matching, and each group of change value intervals corresponds to an additional coefficient. After matching, the additional coefficient converted from the water vapor change value of each sub-area is determined.

6. The temperature control system of a medicinal material vacuum drying machine according to claim 5, characterized in that: The temperature setting scheme of the dryer in the next sub-time window is determined based on the analysis results, specifically: The drying rate value, drying shrinkage rate and drying influence value of each sub-region in the current sub-time window are marked as ; Preset the allowable rate value, allowable shrinkage rate and optimal water vapor partial pressure corresponding to the drying rate value, drying shrinkage rate and drying impact value of each sub-area. express; According to the formula Calculate the dryness assessment index of each sub-region in the current sub-time window ;in are the weight coefficients of drying rate value, drying shrinkage rate and drying influence value respectively; For each sub-area in the current sub-time window, the dryness evaluation index , are compared with the corresponding preset reference evaluation index. If the dryness evaluation index of a sub-area in the current sub-time window is If it is greater than the reference evaluation index, a cooling signal is triggered, otherwise a heating signal is triggered; After triggering the cooling signal, calculate the dryness assessment index The difference between the reference evaluation index and the reference evaluation index is used as the cooling degree value. After the heating signal is triggered, the dryness evaluation index is calculated. The absolute value of the difference between the reference assessment index and the reference assessment index is taken as the temperature rise value; Preset the cooling degree values ​​and heating degree values ​​corresponding to the respective cooling intervals and heating intervals, and each cooling interval and heating interval corresponds to a set of temperature adjustment values; after matching the cooling degree values ​​or heating degree values ​​with the corresponding cooling intervals or heating intervals, determine the temperature adjustment value of the sub-area; If a sub-area triggers a cooling signal, the temperature is lowered after the temperature adjustment value is determined as the initial temperature of the next sub-time window; if a sub-area triggers a heating signal, the temperature is raised after the temperature adjustment value is determined as the initial temperature of the next sub-time window.

7. The temperature control system of a medicinal material vacuum drying machine according to claim 6, characterized in that: It also includes an abnormality assessment module: when a sub-area triggers a temperature increase signal or a temperature decrease signal for X consecutive sub-time windows, it is marked as an abnormal area. After executing the corresponding steps for the abnormal area, an abnormal signal is selectively triggered and sent to the management personnel; where X>3.

8. The temperature control system of a medicinal material vacuum drying machine according to claim 7, characterized in that: The selective triggering of abnormal signaling after executing corresponding steps for the abnormal area is specifically: After identifying the location of the sub-region, the initial temperature determined in X sub-time windows is extracted as the real-time temperature data Ki; where i represents the number of each sub-time window, i=1,2,...,X; Extract the type information of the currently dried medicinal materials, and extract historical drying cases that match the currently dried medicinal materials from a pre-built historical drying database; Divide the time intervals that match the current X sub-time windows from each group of historical drying cases, and extract the initial temperatures of the X sub-time windows corresponding to each group of historical drying cases as historical temperature data Ui; substitute the real-time temperature data and historical temperature data into the formula Calculation is performed to obtain the matching degree value R of each group of historical drying cases; Where Zi represents the weight coefficient corresponding to each sub-time window; if the matching degree value R of a historical drying case is less than the preset degree reference value, no abnormal signaling is triggered; if the matching degree values ​​R of each group of historical drying cases are greater than the preset degree reference value, an abnormal signaling is triggered and sent to the management personnel.

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