Drying process control method and system for vacuum belt dryer

Abstract

The invention relates to the technical field of drying process control, and provides a drying process control method and system for a vacuum belt dryer, and the method comprises the steps: obtaining the drying process information of a medicinal material and the material information of the medicinal material on each laying area of a conveyor belt of the vacuum belt dryer at the current moment; the material information comprises a moisture evaporation rate value, a moisture content value and a heat accumulation value of the medicinal material, and the drying process information comprises a preset moisture evaporation rate curve, a preset moisture content curve and a preset heat accumulation curve of the medicinal material; for each laying area in the multiple laying areas, target drying deviation information of the medicinal materials is determined according to the material information and the drying process information of the medicinal materials on the laying areas; and a target drying control strategy of the medicinal materials on the laying area is determined according to the target drying deviation information. The accuracy of drying process control can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of drying process control, in particular to a vacuum belt dryer drying process control method and system. BACKGROUND

[0002] In the pharmaceutical industry, the vacuum belt dryer is a key equipment for processing various types of heat-sensitive active pharmaceutical ingredients and excipients. The precise control of its drying process is crucial for ensuring the quality of pharmaceutical products. Typically, at the beginning of the operation, a standard set of temperature regulation system parameters is carefully set according to the expected ideal production conditions, such as constant initial moisture content of the material, uniform material layer thickness, and stable environmental parameters. This set of parameters is optimized to provide a repeatable and controlled drying environment, ensuring that the pharmaceutical material receives the expected heat treatment throughout the drying cycle, thereby achieving the specified final moisture content and product stability.

[0003] However, in actual continuous pharmaceutical production processes, it is extremely difficult to maintain such perfect ideal conditions for a long time. For example, even under strict quality control, minor mechanical tolerances may exist in the upstream granulation, mixing, or conveying links, resulting in irregular and slight fluctuations in the material layer thickness when it is spread onto the conveyor belt of the vacuum belt dryer. In addition, even if different batches of pharmaceutical materials meet the incoming standards, their particle morphology, density, or flowability may still have slight differences that may not be captured by conventional detection before the material enters the dryer, but these differences will affect the uniform spreading of the material on the conveyor belt.

[0004] The existing temperature regulation system cannot detect and effectively respond to such local and time-varying fluctuations in the material layer thickness in real time, as its control parameters are fixed based on initial ideal conditions. When the material layer in a certain area of the conveyor belt is slightly thicker, the thermal capacity of the material in that area will increase accordingly. Under the same heating power, the thicker material layer will absorb heat at a slower rate, causing the actual material temperature in that area to be lower than the preset set value in a short period of time. Conversely, when the material layer is slightly thinner, its thermal capacity decreases, and under the same heating power, the material temperature will rise more quickly and even temporarily exceed the set value. This phenomenon reveals the limitations of the fixed parameter control system: it assumes that the thermal load is constant, while in actual production, the thermal load continuously changes due to changes in material thickness.

[0005] This local temperature deviation caused by the fluctuation of the material layer thickness further leads to the difference in the actual accumulated heat obtained by the materials in different areas of the conveying belt during the entire drying process. Ultimately, this difference in accumulated heat directly affects the quality of the dried product. The materials from the thicker layer area may have a higher residual moisture content due to insufficient accumulated heating, resulting in a product that does not meet the specified drying standards. On the other hand, the materials from the thinner layer area may have a lower residual moisture content due to excessive heating, which may even lead to the degradation of heat-sensitive active ingredients or changes in physical properties, thereby reducing the accuracy of the drying process control. SUMMARY

[0006] The present application provides a vacuum belt dryer drying process control method and system that can improve the accuracy of drying process control.

[0007] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0008] In a first aspect, a vacuum belt dryer drying process control method is provided, comprising: obtaining drying progress information of medicinal materials and material information of medicinal materials at a current time on each laying area of a conveying belt of a vacuum belt dryer; the material information includes a moisture evaporation rate value, a moisture content value, and a heat accumulation value of the medicinal materials, and the drying progress information includes a preset moisture evaporation rate curve, a preset moisture content curve, and a preset heat accumulation curve of the medicinal materials; for each laying area in the plurality of laying areas, determining target drying deviation information of the medicinal materials according to the material information and the drying progress information of the medicinal materials on the laying area; and determining a target drying control strategy for the medicinal materials on the laying area according to the target drying deviation information.

[0009] Further, in determining the target drying deviation information of the medicinal materials, specifically including: taking the difference between the moisture evaporation rate value and the parameter value corresponding to the current time in the preset moisture evaporation rate curve as the moisture evaporation rate deviation value of the medicinal materials; taking the difference between the moisture content value and the parameter value corresponding to the current time in the preset moisture content curve as the moisture content deviation value of the medicinal materials; taking the difference between the heat accumulation value and the parameter value corresponding to the current time in the preset heat accumulation curve as the heat accumulation deviation value of the medicinal materials; and encapsulating the moisture evaporation rate deviation value, the moisture content deviation value, and the heat accumulation deviation value as the target drying deviation information.

[0010] On this basis, when determining the target drying control strategy of the medicinal material on the laying area according to the target drying deviation information, the method specifically comprises: obtaining a target first preset correspondence relationship; the target first preset correspondence relationship comprises a one-to-one correspondence relationship between a plurality of deviation range sets and a plurality of drying control strategies; the deviation range set comprises a moisture evaporation rate deviation range, a moisture content deviation range, and a heat accumulation deviation range; the deviation range set in which the deviation value in the target drying deviation information falls in the target first preset correspondence relationship is taken as a target deviation range set; and the drying control strategy corresponding to the target deviation range set in the target first preset correspondence relationship is taken as a target drying control strategy.

[0011] In some preferred embodiments, the vacuum belt dryer comprises a plurality of heat sources, the conveying belt comprises a plurality of sub-conveying belts, one sub-conveying belt corresponds to one laying area, one heat source is used to heat the medicinal material on one sub-conveying belt, the target drying control strategy comprises a heat source control strategy and a conveying belt conveying rate control strategy, after the target drying control strategy of the medicinal material on the laying area is determined according to the target drying deviation information, the method further comprises: sending a first message to the control device of the heat source corresponding to the sub-conveying belt; the first message is used to instruct the control device of the heat source to control the heat source according to the heat source control strategy; and sending a second message to the control device of the sub-conveying belt; the second message is used to instruct the control device of the sub-conveying belt to control the sub-conveying belt according to the conveying belt conveying rate control strategy.

[0012] On the basis described above, the vacuum belt dryer comprises a plurality of multispectral imaging devices, the plurality of multispectral imaging devices correspond one-to-one to the plurality of laying areas, and the material information of the medicinal material on the laying area at the current time is obtained, specifically comprising: obtaining a target light reflection intensity value of the multispectral imaging device corresponding to the laying area at the current time; determining a moisture content value of the medicinal material at the current time according to a preset moisture content-spectral feature curve and the target light reflection intensity value; obtaining a moisture content value of the medicinal material at the previous time of the current time; taking the difference between the moisture content value of the medicinal material at the current time and the moisture content value of the medicinal material at the previous time of the current time as a moisture evaporation rate value of the medicinal material at the current time; obtaining a heating power of the heat source corresponding to the laying area at each sampling time in a drying time period of the medicinal material; and integrating the heating power of the heat source at each sampling time in the drying time period of the medicinal material to obtain a heat accumulation value of the medicinal material at the current time.

[0013] Further, the vacuum belt dryer comprises a plurality of ultrasonic sensors corresponding to the plurality of laying areas one by one, and when the moisture content value of the medicinal material at the current time is determined according to the preset moisture content-spectrum characteristic curve and the target light reflection intensity value, the method specifically comprises: obtaining ultrasonic data of the ultrasonic sensor corresponding to the laying area; determining the thickness of the medicinal material on the laying area according to the ultrasonic data; and determining the moisture content value of the medicinal material at the current time according to the target light reflection intensity value and the thickness of the medicinal material.

[0014] On the basis of the above, when the moisture content value of the medicinal material at the current time is determined according to the target light reflection intensity value and the thickness of the medicinal material, the method specifically comprises: determining the expected light reflection intensity value of the medicinal material according to the thickness of the medicinal material and the moisture absorption coefficient of the medicinal material; judging the absolute value of the difference between the expected light reflection intensity value and the target light reflection intensity value; in the case that the absolute value of the difference is greater than a preset difference threshold, taking the average value of the expected light reflection intensity value and the target light reflection intensity value as the calculated light reflection intensity value; and taking the moisture content value corresponding to the calculated light reflection intensity value in the preset moisture content-spectrum characteristic curve as the moisture content value of the medicinal material at the current time.

[0015] In some embodiments, in the case that the absolute value of the difference is greater than the preset difference threshold, the target first preset corresponding relationship is obtained, specifically comprising: determining a target ultrasonic data feature according to the ultrasonic data of the ultrasonic sensor; determining a target spectrum data feature according to the spectrum data of the multispectral imaging device at the current time; and determining the target first preset corresponding relationship according to the target ultrasonic data feature and the target spectrum data feature.

[0016] Preferably, when the first preset corresponding relationship is determined according to the target ultrasonic data feature and the target spectrum data feature, the method specifically comprises: obtaining a second preset corresponding relationship; the second preset corresponding relationship comprises a one-to-one correspondence relationship between a plurality of data feature sets and a plurality of first preset corresponding relationships; the data feature set comprises an ultrasonic data feature and a spectrum data feature, one data feature set is determined based on one crystal form of the medicinal material, and the drying control strategy in the first preset corresponding relationship is determined based on the crystal form of the corresponding medicinal material; for each data feature set in the plurality of data feature sets, determining a first similarity between the target ultrasonic data feature and the ultrasonic data feature in the data feature set; determining a second similarity between the target spectrum data feature and the spectrum data feature in the data feature set; taking the average value of the first similarity and the second similarity as a third similarity of the data feature set; and taking the first preset corresponding relationship corresponding to the data feature set with the maximum third similarity in the second preset corresponding relationship as the target first preset corresponding relationship.

[0017] In a second aspect, the application further discloses a vacuum belt dryer drying process control system, comprising: an acquisition device and a processing device; the acquisition device is configured to acquire drying progress information of the medicinal material and material information of the medicinal material on each laying area of the conveying belt of the vacuum belt dryer at a current time; the material information comprises a moisture evaporation rate value, a moisture content value and a heat accumulation value of the medicinal material; the drying progress information comprises a preset moisture evaporation rate curve, a preset moisture content curve and a preset heat accumulation curve of the medicinal material; the processing device is configured to determine target drying deviation information of the medicinal material for each laying area in the plurality of laying areas according to the material information and the drying progress information of the medicinal material on the laying area; and the processing device is configured to determine a target drying control strategy of the medicinal material on the laying area according to the target drying deviation information.

[0018] Advantages

[0019] The vacuum belt dryer drying process control method provided by the application can accurately determine the target drying deviation information of the medicinal material by acquiring the moisture evaporation rate value, the moisture content value and the heat accumulation value of the medicinal material on each laying area in real time and comparing them with the preset ideal drying progress information (including the preset moisture evaporation rate curve, the preset moisture content curve and the preset heat accumulation curve). Based on the deviation information, the system can determine the target drying control strategy of the medicinal material on each laying area. The method overcomes the limitation of the fixed parameter control system in the prior art that cannot adapt to changes in actual production conditions such as material layer thickness fluctuation. By finely monitoring and controlling the material state in the local area, the application can effectively avoid local temperature deviation and accumulated heat difference caused by uneven material layer thickness, thereby solving the problems of large fluctuation of residual moisture content of finished products, energy waste and degradation of heat-sensitive active ingredients. Compared with the prior art, the application realizes intelligent, regional and self-adaptive control of the drying process of the vacuum belt dryer, significantly improves the uniformity, product quality and production efficiency of the drug drying, and improves the accuracy of the drying process control. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 A flowchart of a vacuum belt dryer drying process control method provided by the application is shown in the figure;

[0021] Figure 2 A flowchart of another vacuum belt dryer drying process control method provided by the application is shown in the figure;

[0022] Figure 3 A flowchart of another vacuum belt dryer drying process control method provided by the application is shown in the figure;

[0023] Figure 4A schematic diagram of an architecture of a vacuum belt dryer drying process control system is provided in the present application. DETAILED DESCRIPTION

[0024] The technical solutions in the present application will be described clearly and completely below in combination with the drawings in the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. The components of the present application described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0025] It should be noted that similar reference numerals and letters represent similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. Meanwhile, in the description of the present application, the terms “first”, “second”, and the like are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0026] In the pharmaceutical industry, the vacuum belt dryer is a key equipment for processing various types of heat-sensitive active pharmaceutical ingredients and excipients. The traditional existing drying process control method cannot realize real-time sensing and effectively respond to the fluctuations in the continuously changing material layer thickness and the like in the production process, because the control parameters thereof are fixed based on initial ideal conditions. This limitation results in differences in the actual accumulated heat obtained by the materials in different areas of the conveying belt during the entire drying journey, ultimately increasing the residual moisture content fluctuations of the dried products, affecting product quality, and making the accuracy of the drying process control lower.

[0027] To this end, the present application provides a vacuum belt dryer drying process control method, comprising: obtaining drying progress information of the pharmaceutical material and material information of the pharmaceutical material on each laying area of the conveying belt of the vacuum belt dryer at the current time; the material information includes a moisture evaporation rate value, a moisture content value and a heat accumulation value of the pharmaceutical material, and the drying progress information includes a preset moisture evaporation rate curve, a preset moisture content curve and a preset heat accumulation curve of the pharmaceutical material; for each laying area in the plurality of laying areas, determining target drying deviation information of the pharmaceutical material according to the material information and the drying progress information of the pharmaceutical material on the laying area; and determining a target drying control strategy of the pharmaceutical material on the laying area according to the target drying deviation information.

[0028] The application acquires material information and drying process information in real time, determines target drying deviation information based on the information, and then formulates a target drying control strategy, so as to dynamically adjust the drying process, effectively cope with changes in production conditions such as material layer thickness, ensure the uniformity of product quality, improve production efficiency, and improve the accuracy of drying process control.

[0029] In order to better understand the technical solutions proposed in the present application, some key terms involved therein are first explained.

[0030] "Pharmaceutical material" refers to various active pharmaceutical ingredients, excipients or intermediate products that need to be dried in the pharmaceutical process. These materials are usually temperature sensitive, and the drying quality directly affects the efficacy and safety of the final drug.

[0031] "Vacuum belt dryer" is a device for continuously drying materials in a vacuum environment, whose core components include a conveyor belt and a heating system, and is suitable for drying heat-sensitive materials.

[0032] "Laying area" refers to a specific area on the conveyor belt of the vacuum belt dryer for carrying pharmaceutical materials for drying. The conveyor belt is usually divided into multiple such areas, and the drying conditions of each area can be independently controlled.

[0033] "Drying process information" refers to the variation rules of various parameters that the pharmaceutical material should follow in the entire drying process under ideal drying conditions, including a preset moisture evaporation rate curve, a preset moisture content curve and a preset heat accumulation curve. These curves represent the ideal state of the pharmaceutical material at different drying stages.

[0034] "Material information" refers to the actual state data of the pharmaceutical material on each laying area at the current time, including the moisture evaporation rate value, the moisture content value and the heat accumulation value. These values reflect the real-time performance of the material in the actual drying process.

[0035] "Target drying deviation information" refers to the difference between the actual material information of the pharmaceutical material and the drying process information, which is used to quantify the deviation degree of the current drying state from the ideal state.

[0036] "Target drying control strategy" refers to a specific scheme formulated according to the target drying deviation information, which is used to adjust the operating parameters (such as heating power, conveyor belt speed, etc.) of the vacuum belt dryer, so as to make the drying process of the pharmaceutical material return to or approach the preset ideal state.

[0037] The drying process control method of the vacuum belt dryer proposed in the present application is characterized by real-time monitoring and dynamic adjustment of the drying process. As shown in Figure 1 The method includes the following steps:

[0038] S101, obtain drying process information of the medicinal material and material information of the medicinal material on each laying area of the conveying belt of the vacuum belt dryer at the current time.

[0039] For example, the drying process information can be set in advance by experimental data fitting, theoretical model calculation or expert experience, and stored in the database of the control system. These information usually exist in the form of curves or functions, which describe the change law of moisture evaporation rate, moisture content and heat accumulation of the medicinal material with time or drying process under ideal drying conditions.

[0040] The material information needs to be obtained in real time by sensors. For example, the moisture content value of the medicinal material can be obtained by installing infrared sensors or humidity sensors above each laying area; the moisture evaporation rate value can be estimated by calculating the change of moisture content value at adjacent time; the heat accumulation value can be calculated by monitoring the power and action time of the heating element. As another implementation manner, the moisture content value can also be obtained by artificial periodic sampling, sending the sample to the laboratory for rapid detection, and calculating the moisture evaporation rate value and heat accumulation value combined with the drying time.

[0041] S102, for each laying area in the plurality of laying areas, determining target drying deviation information of the medicinal material according to the material information of the medicinal material on the laying area and the drying process information.

[0042] For example, the control system can periodically read the real-time material information of each laying area and compare it with the parameter value corresponding to the current time in the drying process information. Specifically, the real-time moisture evaporation rate value can be compared with the parameter value of the preset moisture evaporation rate curve at the current time to obtain the moisture evaporation rate deviation value; the real-time moisture content value can be compared with the parameter value of the preset moisture content curve at the current time to obtain the moisture content deviation value; the real-time heat accumulation value can be compared with the parameter value of the preset heat accumulation curve at the current time to obtain the heat accumulation deviation value. These deviation values can be packaged into a data structure, i.e. target drying deviation information. As another implementation manner, the material state can also be observed by artificial observation and compared with the preset drying standard to subjectively judge the deviation situation, and then these subjective judgment results can be input into the system for quantitative processing to generate the target drying deviation information.

[0043] S103, determining the target drying control strategy of the medicinal material on the laying area according to the target drying deviation information.

[0044] For example, the control system can preset a rule base or lookup table containing the mapping relationship between various drying deviation conditions and corresponding drying control strategies. When the target drying deviation information is obtained, the system will look up the most matching control strategy in the rule base according to the deviation values. For example, if the moisture content is too high and the heat accumulation is insufficient, the system can choose to increase the heating power or reduce the conveying belt transmission rate. As another implementation manner, the operator can also manually adjust the operating parameters of the vacuum belt dryer according to the target drying deviation information, combined with his own experience and professional knowledge, to form the target drying control strategy.

[0045] The core innovation of the present application lies in its real-time, regional and dynamic control capability of the drying process. Traditional drying methods mainly rely on preset fixed parameters and cannot effectively cope with uncertain factors such as fluctuation of material layer thickness in the production process. When the material layer thickness changes, the traditional method cannot timely adjust the heating power or the conveying belt speed, resulting in uneven heating of the material, large fluctuation of the moisture content of the final product, and even degradation of the heat-sensitive active ingredients.

[0046] In contrast, by obtaining the material information (including the moisture evaporation rate value, the moisture content value and the heat accumulation value) of each laying area in real time and comparing it with the preset ideal drying progress information, the present application can accurately quantify the deviation of the current drying state from the ideal state. This fine deviation information enables the system to develop a target drying control strategy for each laying area. For example, when the material layer of a certain area is thick, resulting in high moisture content and insufficient heat accumulation, the method of the present application can immediately adjust the heating power or the conveying belt transmission rate of the area to compensate for the heat loss and accelerate the evaporation of moisture. This dynamic adjustment mechanism effectively solves the drawbacks of the traditional "one-size-fits-all" method, avoids the problems of over-drying or under-drying, ensures the uniformity of the drying product quality, reduces energy consumption, maximizes the protection of the active ingredients of the medicinal materials, and improves the accuracy of the drying process control.

[0047] Specifically, as shown in Figure 2 The above determination of the target drying deviation information of the medicinal materials according to the material information and the drying progress information of the medicinal materials in the laying area can be realized in the following manner.

[0048] S201, taking the difference between the moisture evaporation rate value and the parameter value corresponding to the current time in the preset moisture evaporation rate curve as the moisture evaporation rate deviation value of the medicinal materials.

[0049] The water evaporation rate value refers to the actual water evaporation rate of the medicinal material at the current time, and the parameter value corresponding to the current time in the preset water evaporation rate curve refers to the water evaporation rate that the medicinal material should reach at the current time according to the preset ideal drying process. By calculating the difference between the two, the deviation of the actual state of the medicinal material in water evaporation from the ideal state can be quantified, and the water evaporation rate deviation value is obtained.

[0050] S202, taking the difference between the water content value and the parameter value corresponding to the current time in the preset water content curve as the water content deviation value of the medicinal material.

[0051] The water content value refers to the actual water content of the medicinal material at the current time, and the parameter value corresponding to the current time in the preset water content curve refers to the water content that the medicinal material should reach at the current time according to the preset ideal drying process. By calculating the difference between the two, the water content deviation value is obtained, which reflects the difference between the actual water content of the medicinal material and the target water content.

[0052] S203, taking the difference between the heat accumulation value and the parameter value corresponding to the current time in the preset heat accumulation curve as the heat accumulation deviation value of the medicinal material.

[0053] The heat accumulation value refers to the actual heat accumulated by the medicinal material at the current time, and the parameter value corresponding to the current time in the preset heat accumulation curve refers to the heat that the medicinal material should accumulate at the current time according to the preset ideal drying process. By calculating the difference between the two, the heat accumulation deviation value is obtained, which reflects the difference between the actual heat accumulation of the medicinal material and the target heat accumulation.

[0054] S204, encapsulating the water evaporation rate deviation value, the water content deviation value and the heat accumulation deviation value as target drying deviation information.

[0055] The water evaporation rate deviation value, the water content deviation value and the heat accumulation deviation value are encapsulated as target drying deviation information. The encapsulation operation can be understood as integrating these independent deviation values into a structured data set for subsequent unified processing and analysis.

[0056] The scheme of the present application can comprehensively and carefully reflect the deviation between the actual state and the preset ideal state of the medicinal material in the drying process by calculating the deviation of the medicinal material in the three key dimensions of water evaporation rate, water content and heat accumulation. This multi-dimensional and refined deviation calculation method makes the control of the drying process no longer rely on a single parameter, but can consider the dynamic changes of the medicinal material, thereby providing a data basis for subsequent determination of more accurate and effective drying control strategies.

[0057] In some embodiments of the present application, a target drying control strategy for laying the pharmaceutical material on the laying area is determined according to the target drying deviation information. Specifically, as shown in the figure, the step of determining the target drying control strategy for laying the pharmaceutical material on the laying area includes: Figure 3

[0058] S301, obtaining a target first preset correspondence.

[0059] The target first preset correspondence includes a one-to-one correspondence between a plurality of deviation range sets and a plurality of drying control strategies; the deviation range set includes a moisture evaporation rate deviation range, a moisture content deviation range, and a heat accumulation deviation range.

[0060] Specifically, when determining the target drying control strategy for laying the pharmaceutical material on the laying area, the target first preset correspondence needs to be obtained first. The target first preset correspondence can be understood as a pre-established mapping table or rule set, and its purpose is to associate different degrees of drying deviation with corresponding drying control strategies. The target first preset correspondence is configured to include a one-to-one correspondence between a plurality of deviation range sets and a plurality of drying control strategies. Each deviation range set is defined to include a moisture evaporation rate deviation range, a moisture content deviation range, and a heat accumulation deviation range. These deviation ranges can be set according to actual drying process requirements, material characteristics, and experience data, for example, they can be set to “moisture evaporation rate deviation value between -5% and +5%, moisture content deviation value between -2% and +2%, heat accumulation deviation value between -10% and +10%” and the like.

[0061] S302, taking the deviation range set in which the deviation value in the target drying deviation information falls in the target first preset correspondence as the target deviation range set.

[0062] After obtaining the target first preset correspondence, the deviation values (i.e. moisture evaporation rate deviation value, moisture content deviation value, and heat accumulation deviation value) contained in the target drying deviation information are compared with each deviation range set in the target first preset correspondence. Specifically, it is judged whether each deviation value in the target drying deviation information falls within the range defined by a certain specific deviation range set. When all the deviation values in the target drying deviation information fall within a certain deviation range set, the deviation range set is determined as the target deviation range set.

[0063] S303, taking the drying control strategy corresponding to the target deviation range set in the target first preset correspondence as the target drying control strategy.

[0064] ​Once the target deviation range set is determined, one or more drying control strategies corresponding to the target deviation range set can be found according to the target first preset correspondence relationship. The corresponding drying control strategy is determined as the target drying control strategy of the pharmaceutical material on the laying area. For example, if the target deviation range set indicates that the current material is dried too quickly and the heat accumulation is too high, the corresponding drying control strategy can include reducing the heating temperature, slowing down the conveying belt transmission rate, etc.

[0065] The scheme of the present application maps the real-time monitored drying deviation information of the pharmaceutical material to specific drying control strategies systematically by establishing and utilizing the preset target first preset correspondence relationship. The working principle is that, first, the target drying deviation information is obtained by comparing the moisture evaporation rate value, moisture content value and heat accumulation value of the pharmaceutical material with the preset curve. Then, these deviation values are matched with the preset deviation range set, so as to identify the specific deviation interval of the current drying state. Finally, the corresponding drying control strategy is found in the target first preset correspondence relationship according to the deviation interval. This finding mechanism based on the preset correspondence relationship enables the control decision of the drying process to quickly and accurately respond to the actual drying state of the material, avoiding the lag and uncertainty of manual judgment or complex real-time calculation.

[0066] The present application further proposes a vacuum belt dryer drying process control method, wherein the vacuum belt dryer includes a plurality of heat sources, the conveying belt includes a plurality of sub-conveying belts, one sub-conveying belt corresponds to one laying area, one heat source is used to heat the pharmaceutical material on one sub-conveying belt, the target drying control strategy includes a heat source control strategy and a conveying belt transmission rate control strategy, after determining the target drying control strategy of the pharmaceutical material on the laying area according to the target drying deviation information, the method further includes: sending a first message to the control device of the heat source corresponding to the sub-conveying belt; the first message is used to instruct the control device of the heat source to control the heat source according to the heat source control strategy; sending a second message to the control device of the sub-conveying belt; the second message is used to instruct the control device of the sub-conveying belt to control the sub-conveying belt according to the conveying belt transmission rate control strategy.

[0067] Specifically, the above-mentioned vacuum belt dryer is designed to have a segmented control capability, in which the conveying belt is divided into multiple sub-conveying belts, each of which corresponds to an independent laying area. Each laying area is equipped with an independent heat source, which is specifically used to heat the medicinal materials on the sub-conveying belt. Thus, the target drying control strategy determined for each laying area is no longer a single, general instruction, but is refined into two specific control instructions: a heat source control strategy and a conveying belt transmission rate control strategy. Among them, the heat source control strategy aims to adjust the heating intensity or mode of the heat source of the corresponding laying area to accurately control the temperature and heat input of the area; the conveying belt transmission rate control strategy is used to adjust the running speed of the corresponding sub-conveying belt, thereby affecting the residence time of the medicinal materials in the area. After determining these specific control strategies, the system sends a first message to the control device of the heat source corresponding to the sub-conveying belt, which carries the specific instructions of the heat source control strategy, instructing the control device of the heat source to adjust the working state of the heat source accordingly. At the same time, the system also sends a second message to the control device of the sub-conveying belt, which contains the instructions of the conveying belt transmission rate control strategy, for guiding the control device of the sub-conveying belt to adjust the transmission rate of the sub-conveying belt.

[0068] The scheme of the present application effectively solves the limitation that the target drying control strategy is difficult to implement in the basic scheme by dividing the vacuum belt dryer into multiple independent control units (i.e. laying areas composed of sub-conveying belts and corresponding heat sources) and providing each unit with a refined heat source control strategy and a conveying belt transmission rate control strategy. When the target drying deviation information is determined for the medicinal materials in a laying area, the deviation information is used to generate a dedicated heat source control strategy and a conveying belt transmission rate control strategy for the area. These strategies are then directly sent to the corresponding heat source control device and sub-conveying belt control device through the first message and the second message. Thus, the heating power or mode of the heat source can be accurately adjusted to compensate for the deviation of the material moisture evaporation rate or heat accumulation; at the same time, the transmission rate of the sub-conveying belt can also be dynamically adjusted to change the drying time of the materials in the current area, thereby more accurately controlling the moisture content of the materials. This regional and refined control method enables the drying process to be optimized in real time and locally according to the actual material state of each laying area, avoiding the problem of local over-drying or under-drying caused by overall adjustment.

[0069] In some preferred embodiments, assuming that, on a certain laying area of the vacuum belt dryer, through the acquired material information and drying process information, it is determined that the moisture content value of the pharmaceutical material is higher than the parameter value corresponding to the preset moisture content curve, and the moisture evaporation rate value is lower than the parameter value corresponding to the preset moisture evaporation rate curve, it indicates that the drying progress of the pharmaceutical material in this area is lagging. At this time, according to the above-mentioned target drying deviation information, the system will determine a target drying control strategy, which may include increasing the heating power of the heat source corresponding to the laying area (as a heat source control strategy), and appropriately reducing the transmission rate of the sub-conveying belt (as a conveying belt transmission rate control strategy). Specifically, the system will send a first message to the control device of the heat source corresponding to the sub-conveying belt, instructing it to increase the heating power from the current value to the preset target high power value; at the same time, the system will send a second message to the control device of the sub-conveying belt, instructing it to reduce the transmission rate from the current value to the preset target slow speed value. In this way, the pharmaceutical material in this area will obtain more heat input and stay in this area for a longer time, thereby accelerating the drying process, so that its moisture content and moisture evaporation rate return to the preset ideal curve range as soon as possible.

[0070] The conventional existing vacuum belt dryer drying process control method may rely on offline sampling, manual measurement or experience-based estimation when acquiring the material information of the pharmaceutical material. This method may cause data lag, insufficient accuracy, and difficulty in accurately reflecting the actual state of the pharmaceutical material in the drying process in real time, especially the key parameters such as the moisture evaporation rate value, the moisture content value and the heat accumulation value. If the above problems are not solved, the control effect of the drying process may not be ideal, and it is difficult to achieve fine and high-quality drying of the pharmaceutical material.

[0071] To this end, the present application further proposes a scheme for accurately acquiring the material information of the pharmaceutical material through multi-spectral imaging technology and heat integration method, to improve the accuracy and real-time performance of the drying process control.

[0072] According to the above-mentioned vacuum belt dryer drying process control method, the vacuum belt dryer comprises a plurality of multispectral imaging devices, the plurality of multispectral imaging devices correspond one-to-one to a plurality of laying areas, and the material information of the medicinal materials on the laying areas at the current time is obtained, comprising: obtaining the target light reflection intensity value of the multispectral imaging device corresponding to the laying area at the current time; determining the moisture content value of the medicinal materials at the current time according to the preset moisture content-spectral characteristic curve and the target light reflection intensity value; obtaining the moisture content value of the medicinal materials at the previous time of the current time; taking the difference between the moisture content value of the medicinal materials at the current time and the moisture content value of the medicinal materials at the previous time of the current time as the moisture evaporation rate value of the medicinal materials at the current time; obtaining the heating power of the heat source corresponding to the laying area at each sampling time in the drying time period of the medicinal materials; and integrating the heating power of the heat source at each sampling time in the drying time period of the medicinal materials to obtain the heat accumulation value of the medicinal materials at the current time.

[0073] Specifically, the vacuum belt dryer is configured to include a plurality of multispectral imaging devices. These multispectral imaging devices are deployed inside the vacuum belt dryer and correspond one-to-one to a plurality of laying areas of the conveying belt. Each multispectral imaging device is responsible for monitoring the medicinal materials on its corresponding laying area. The multispectral imaging device is a sensor that can capture different wavelengths of light reflection or transmission information. By analyzing the reflection intensity of the medicinal materials at different spectral bands, the internal composition and state information of the medicinal materials can be obtained.

[0074] Among them, obtaining the target light reflection intensity value of the multispectral imaging device corresponding to the laying area at the current time means that the multispectral imaging device scans the surface of the medicinal materials at a specific time and records the light reflection intensity data at multiple preset spectral bands. These data reflect the optical properties of the medicinal materials under the current drying state.

[0075] Further, the moisture content value of the medicinal materials at the current time is determined according to the preset moisture content-spectral characteristic curve and the target light reflection intensity value. The preset moisture content-spectral characteristic curve is established in advance through experiments or modeling, and is used to describe the variation of the spectral reflection characteristics of the medicinal materials at different moisture contents. By comparing or looking up the target light reflection intensity value obtained at the current time with the curve, the moisture content value of the medicinal materials at the current time can be accurately calculated.

[0076] In addition, in order to obtain the moisture evaporation rate value of the medicinal materials, the moisture content value of the medicinal materials at the previous time of the current time needs to be obtained. Then, the difference between the moisture content value of the medicinal materials at the current time and the moisture content value of the medicinal materials at the previous time of the current time is taken as the moisture evaporation rate value of the medicinal materials at the current time. This method reflects the speed of moisture evaporation in real time by continuously monitoring the change of moisture content.

[0077] Simultaneously, to obtain the cumulative heat value of the medicinal material, it is necessary to acquire the heating power of the heat source corresponding to the laying area at each sampling moment during the drying period of the medicinal material. The heating power of the heat source is a key parameter for measuring how much heat it provides to the medicinal material. By integrating the heating power of the heat source at each sampling moment during the drying period of the medicinal material, the cumulative heat value of the medicinal material at the current moment can be obtained. This integration process accumulates the total heat absorbed by the medicinal material from the start of drying to the current moment.

[0078] This application's solution achieves non-contact, real-time, online monitoring of the moisture content of pharmaceutical materials by introducing multispectral imaging equipment. Traditional methods may require sampling analysis, which is time-consuming and destructive. Multispectral imaging technology can utilize the differences in absorption and reflection characteristics of pharmaceutical materials at different moisture contents to specific spectra, and directly convert the light reflection intensity value into an accurate moisture content value through a preset moisture content-spectral characteristic curve. This method avoids manual intervention and sampling errors, significantly improving the accuracy and real-time nature of moisture content acquisition. Furthermore, by continuously monitoring the moisture content values ​​at the current and previous moments and calculating their difference, the moisture evaporation rate of the pharmaceutical materials can be obtained in real time and dynamically. This is more accurate than estimations based on empirical models or fixed parameters, and can truly reflect the dynamic changes in moisture evaporation during the drying process. In addition, by integrating the heating power of the heat source during the drying period of the pharmaceutical materials, the heat absorbed by the pharmaceutical materials can be accurately accumulated. This overcomes the limitations of traditional methods that may only rely on set temperatures or simple thermal balance models for estimation, providing more reliable heat accumulation data. In summary, this application provides high-precision, real-time, and comprehensive material information for the drying process control of a vacuum belt dryer through multispectral imaging technology and heat integration method. This lays a solid data foundation for the subsequent determination of target drying deviation information and the formulation of target drying control strategies, effectively solving the problems of insufficient accuracy and real-time performance in material information acquisition by traditional methods.

[0079] In some preferred embodiments, the following is illustrated by a specific example. Assume that in a vacuum belt dryer, the conveying belt is divided into multiple laying areas. Above each laying area, a multispectral imaging device is installed. When the pharmaceutical material is being dried in a certain laying area, the corresponding multispectral imaging device will scan the pharmaceutical material in that area at a preset sampling frequency (for example, every 10 seconds) and obtain its light reflection intensity value at multiple specific wavelengths (for example, near-infrared waveband). Specifically, at the current time t, the multispectral imaging device obtains the target light reflection intensity value of the pharmaceutical material. The system inputs this value into a pre-established moisture content-spectral feature curve model, for example, a regression model trained based on machine learning, to accurately calculate the moisture content value of the pharmaceutical material at the current time t. At the same time, the system will store the moisture content value at the last sampling time t-1. By calculating the difference between the moisture content value at the current time t and the moisture content value at the last time t-1, the moisture evaporation rate value of the pharmaceutical material at the current time can be obtained. At the same time, the control system of the heat source (for example, an electric heating plate or a steam heater) corresponding to the laying area will record the heating power of each sampling time within the drying time period in real time. For example, if the heating power data of the heat source every minute within the past hour is recorded, the system will integrate these power values to obtain the total heat absorbed by the pharmaceutical material from the start of drying to the current time. In this way, the system can provide real-time and accurate moisture evaporation rate value, moisture content value and heat accumulation value for the pharmaceutical material in each laying area. These accurate material information is then used to compare with the drying progress information to determine the target drying deviation information and finally generate a refined target drying control strategy, for example, to adjust the heat source power or the conveying belt transmission rate, to ensure that the pharmaceutical material is dried in the best state.

[0080] In some embodiments of the present application described above, the moisture content value of the pharmaceutical material is determined by the target light reflection intensity value obtained by the multispectral imaging device and the pre-established moisture content-spectral feature curve. However, in actual drying process, the thickness of the pharmaceutical material may change due to uneven laying or drying shrinkage, etc. Relying solely on the light reflection intensity value to calculate the moisture content may not fully reflect the true moisture distribution inside the material, resulting in deviation in the calculation of the moisture content value. If the above problem is not solved, it may affect the accuracy of the drying process control, and thus affect the drying quality and energy efficiency of the pharmaceutical material.

[0081] To this end, the application further provides a vacuum belt dryer drying process control method, wherein the vacuum belt dryer comprises a plurality of ultrasonic sensors, the plurality of ultrasonic sensors correspond one-to-one to a plurality of laying areas, and the moisture content value of the medicinal material at the current time is determined according to a preset moisture content-spectrum characteristic curve and a target light reflection intensity value, comprising: obtaining ultrasonic data of the ultrasonic sensor corresponding to the laying area; determining the thickness of the medicinal material on the laying area according to the ultrasonic data; and determining the moisture content value of the medicinal material at the current time according to the target light reflection intensity value and the thickness of the medicinal material.

[0082] Specifically, a plurality of ultrasonic sensors are arranged in the vacuum belt dryer and correspond one-to-one to a plurality of laying areas of the conveying belt. Each ultrasonic sensor is used for non-contact thickness measurement of the medicinal material on the laying area corresponding thereto. The ultrasonic data refers to the data generated after the ultrasonic sensor transmits an ultrasonic signal and receives the echo thereof, which carries physical information such as the thickness and density of the material. The thickness of the medicinal material refers to the vertical distance from the surface of the conveying belt to the upper surface of the medicinal material on a specific laying area. The thickness value is a key parameter affecting the propagation and reflection of light in the material.

[0083] It should be noted that the ultrasonic sensor is a sensor that can work in a vacuum environment, and its specific model can refer to existing solutions, which will not be described herein.

[0084] The scheme of the application measures the thickness of the medicinal material by introducing an ultrasonic sensor, thereby making up for the possible deficiencies of determining the moisture content only by relying on the light reflection intensity value. Specifically, the ultrasonic sensor can accurately obtain the thickness information of the medicinal material. Since the penetration depth and reflection intensity of light in the material are closely related to the thickness of the material, when the thickness of the material changes, even if the moisture content is the same, the light reflection intensity value may be different. Therefore, when determining the moisture content value of the medicinal material, the target light reflection intensity value is combined with the thickness of the medicinal material, which can more comprehensively and accurately reflect the actual state of the material. In this way, a more accurate relationship model between the moisture content, the spectrum characteristic and the thickness can be established, thereby improving the accuracy of the moisture content measurement.

[0085] In some preferred embodiments, a multi-spectral imaging device and an ultrasonic sensor are configured on one laying area of the vacuum belt dryer. At a certain time, the ultrasonic sensor first transmits ultrasonic waves and receives echoes, and by analyzing the ultrasonic data, for example, calculating the propagation time or the degree of attenuation of the ultrasonic waves, the thickness of the pharmaceutical material on the laying area can be accurately determined. At the same time, the multi-spectral imaging device obtains the target light reflection intensity value of the pharmaceutical material on the laying area. Subsequently, the processing device takes the target light reflection intensity value and the thickness of the pharmaceutical material as inputs, combines the preset moisture content-spectral characteristic curve (which may have considered a correction factor for different thicknesses or a multi-dimensional lookup table), and calculates the actual moisture content value of the pharmaceutical material at the current time through a specific algorithm model. For example, a three-dimensional lookup table can be established in advance, with light reflection intensity and material thickness as inputs and moisture content as output; or through a regression model, light reflection intensity and thickness are taken as independent variables, and moisture content is taken as dependent variable for calculation.

[0086] In some embodiments of the present application described above, a method for determining the moisture content value of the pharmaceutical material at the current time according to the target light reflection intensity value and the thickness of the pharmaceutical material is proposed. However, in actual application, due to batch differences, surface unevenness of the pharmaceutical material or fluctuations in the measurement environment, there may be measurement errors or inaccuracies when directly determining the moisture content based on a single model or a preset curve, especially when there is a large deviation between the actual measurement value and the theoretical expected value, which may lead to inaccurate calculation of the moisture content value. If the above problems are not solved, it may affect the accuracy and stability of the drying process control.

[0087] To this end, the present application further proposes a step for determining the moisture content value of the pharmaceutical material at the current time according to the target light reflection intensity value and the thickness of the pharmaceutical material, which includes: determining the expected light reflection intensity value of the pharmaceutical material according to the thickness of the pharmaceutical material and the moisture absorption coefficient of the pharmaceutical material; judging the absolute value of the difference between the expected light reflection intensity value and the target light reflection intensity value; in the case where the absolute value of the difference is greater than a preset difference threshold, taking the average value of the expected light reflection intensity value and the target light reflection intensity value as the calculated light reflection intensity value; and taking the moisture content value corresponding to the calculated light reflection intensity value in the preset moisture content-spectral characteristic curve as the moisture content value of the pharmaceutical material at the current time.

[0088] Specifically, in determining the moisture content value of the pharmaceutical material at the current time, first, based on the thickness of the pharmaceutical material and its inherent moisture absorption coefficient, an expected light reflection intensity value can be calculated. The expected light reflection intensity value can be understood as the light reflection characteristics that the pharmaceutical material should have under ideal conditions given the thickness of the pharmaceutical material. Among them, the moisture absorption coefficient of the pharmaceutical material refers to the absorption ability of the pharmaceutical material to light of a specific wavelength, which is related to factors such as the composition, structure and moisture content of the pharmaceutical material, and can be obtained by experiment calibration or consulting relevant database.

[0089] Secondly, the expected light reflection intensity value is compared with the target light reflection intensity value actually measured, and the absolute value of the difference between the two is calculated. This step aims to evaluate the consistency or deviation between the actual measurement value and the theoretical expected value.

[0090] Further, if the absolute value of the difference is greater than a preset difference threshold, it indicates that there is a significant difference between the actual measurement value and the theoretical expected value. At this time, in order to improve the accuracy and robustness of the moisture content value, the expected light reflection intensity value and the target light reflection intensity value are averaged to obtain a calculated light reflection intensity value. The averaging operation aims to smooth the possible measurement noise or local anomalies, so that the calculation result is more representative. The preset difference threshold can be set according to the actual application scene, sensor accuracy and pharmaceutical material characteristics, for example, it can be set to 5% or 10% of the target light reflection intensity value.

[0091] Finally, the calculated light reflection intensity value is substituted into the preset moisture content-spectral feature curve to determine the moisture content value of the pharmaceutical material at the current time. The preset moisture content-spectral feature curve is established in advance through experiment or modeling, which is used to describe the corresponding relationship between the light reflection intensity and the moisture content of the pharmaceutical material.

[0092] The scheme of the present application effectively solves the error problem that may occur when only a single measurement value or a simple model is used to determine the moisture content by introducing a comparison and correction mechanism of the expected light reflection intensity value and the target light reflection intensity value. Specifically, when the actual measured target light reflection intensity value and the expected light reflection intensity value calculated based on the thickness of the pharmaceutical material and the moisture absorption coefficient have a large deviation, it indicates that there may be measurement abnormalities or local changes in material characteristics. At this time, by averaging the two, the uncertainty brought by a single measurement value can be effectively reduced, so that the calculated light reflection intensity value used to query the preset moisture content-spectral feature curve is more stable and accurate. This correction mechanism can better adapt to the complex changes that may occur in the drying process of the pharmaceutical material, thereby providing more reliable material information for subsequent drying deviation information determination and drying control strategy formulation.

[0093] In some preferred embodiments, the following is illustrated by a specific example. Assume that on a certain laying area, the thickness of the pharmaceutical material is measured by an ultrasonic sensor to be 2 mm. According to the known moisture absorption coefficient of the pharmaceutical material, the expected light reflection intensity value calculated is 0.65. At the same time, the actual target light reflection intensity value measured by the multi-spectral imaging device is 0.75. The preset difference threshold is set to be 0.08.

[0094] Firstly, the absolute value of the difference between the expected light reflection intensity value 0.65 and the target light reflection intensity value 0.75 is judged, i.e. |0.65-0.75|=0.10.

[0095] Since 0.10 is greater than the preset difference threshold 0.08, it indicates that there is a significant difference between them. Therefore, the expected light reflection intensity value and the target light reflection intensity value are averaged to obtain the calculated light reflection intensity value=(0.65+0.75) / 2=0.70.

[0096] Finally, the calculated light reflection intensity value 0.70 is substituted into the preset moisture content-spectral feature curve to query the moisture content value of the pharmaceutical material at the current time to be 15%.

[0097] In this way, even when there is a certain deviation between the measured value and the theoretically expected value, a more reasonable and accurate moisture content value can be obtained through the correction mechanism, avoiding the errors that may be caused by directly using 0.75 or 0.65, thereby ensuring the accuracy of the drying process control.

[0098] In some embodiments of the present application described above, when the absolute value of the difference between the expected light reflection intensity value and the target light reflection intensity value of the pharmaceutical material is greater than the preset difference threshold, the average value is used as the calculated light reflection intensity value to determine the moisture content value of the pharmaceutical material. However, in the actual drying process, the physical properties (such as crystal form, density, etc.) of the pharmaceutical material may have complex changes, which may cause the preset moisture content-spectral feature curve or the preset first preset correspondence to be unable to accurately reflect the true state of the current material, especially in the case of a large deviation in the light reflection intensity value, if the fixed first preset correspondence is still used to determine the drying control strategy, it may cause the control accuracy to decrease, and even affect the drying effect.

[0099] In this regard, the present application further proposes that in the case where the absolute value of the above difference is greater than the preset difference threshold, a target first preset correspondence is obtained, specifically including: determining a target ultrasonic data feature according to the ultrasonic data of the ultrasonic sensor; determining a target spectral data feature according to the spectral data of the multi-spectral imaging device at the current time; and determining the target first preset correspondence according to the target ultrasonic data feature and the target spectral data feature.

[0100] Specifically, the target first preset correspondence refers to a rule set for mapping the drying deviation information of the medicinal material to the corresponding drying control strategy. The correspondence can be a lookup table, a mathematical model, or a machine learning-based decision model. The purpose is to dynamically adjust the control strategy according to the actual characteristics of the material when there is a large deviation in the drying state of the medicinal material, in order to improve the accuracy and adaptability of drying. Among them, the ultrasonic data features can be understood as parameters extracted from the ultrasonic data obtained from the ultrasonic sensor, which can represent the physical characteristics of the medicinal material, such as the density, internal structure, particle size, porosity, or crystal form of the medicinal material. These features can be obtained by analyzing the propagation speed, attenuation, reflection, or scattering pattern of ultrasonic waves. For example, ultrasonic waves propagate at different speeds in materials of different densities, and the attenuation characteristics may also be different in materials of different crystal forms. In practical applications, the spectral data features specifically refer to parameters extracted from the spectral data obtained by the multispectral imaging device at the current time, which can represent the chemical composition, crystal form, or surface state of the medicinal material. These features can include light reflection intensity at a specific wavelength, position and intensity of absorption peaks, slope or shape of the spectral curve, etc. For example, different crystal forms of medicinal materials may exhibit different absorption or reflection characteristics in a specific spectral region. By combining the target ultrasonic data features and the target spectral data features, the current state of the medicinal material can be more comprehensively and accurately represented, thereby providing a more reliable basis for determining the target first preset correspondence.

[0101] The scheme of the present application introduces the analysis of the ultrasonic data features and the spectral data features of the medicinal material when there is a large deviation between the expected light reflection intensity value and the target light reflection intensity value. It is precisely because the ultrasonic data features can reflect the internal physical structure and density information of the medicinal material, and the spectral data features can reflect the chemical composition and surface characteristics of the medicinal material, that when the light reflection measurement is abnormal, the real state of the material can be more comprehensively perceived through these two complementary features. Therefore, the target first preset correspondence can be dynamically determined or adjusted according to these more accurate material features, so as to ensure that even in the case of complex changes in material characteristics or suboptimal measurement conditions, the determined drying control strategy can still accurately and effectively act on the medicinal material, avoiding control deviation caused by inaccurate information.

[0102] In some preferred embodiments, when the absolute value of the difference between the expected light reflection intensity value of the pharmaceutical material and the target light reflection intensity value is greater than the preset difference threshold value, the system will start the process of dynamically obtaining the target first preset corresponding relationship. Specifically, the ultrasonic sensor will collect ultrasonic data of the pharmaceutical material, and extract ultrasonic data features such as ultrasonic propagation speed in the material and attenuation coefficient from the ultrasonic data. At the same time, the multispectral imaging device will obtain the spectral data of the pharmaceutical material at the current time, and extract spectral data features such as reflection peak intensity at a specific wavelength and absorption valley position from the spectral data. Subsequently, these extracted ultrasonic data features and spectral data features will be input into a pre-trained model (e.g., a classifier or a regression model), which has learned how to map these features to the "first preset corresponding relationship" most suitable for the current material state based on a large amount of historical data and ultrasonic and spectral features of different material crystal forms and states. For example, if the model identifies that the current material is in a certain specific crystal form A, it will select the first preset corresponding relationship corresponding to crystal form A as the target first preset corresponding relationship; if it identifies that the material is in crystal form B, it will select the first preset corresponding relationship corresponding to crystal form B. In this way, the determined target first preset corresponding relationship can more accurately reflect the actual characteristics of the current pharmaceutical material, thereby guiding the formulation of subsequent drying control strategies and ensuring the optimization of the drying process.

[0103] In some embodiments of the present application described above, when determining the target first preset corresponding relationship according to the target ultrasonic data features and the target spectral data features, the following method can be used:

[0104] obtaining a second preset corresponding relationship; the second preset corresponding relationship includes a one-to-one correspondence between a plurality of data feature sets and a plurality of first preset corresponding relationships; the data feature set includes ultrasonic data features and spectral data features, and one data feature set is determined based on one crystal form of the pharmaceutical material; the drying control strategy in the first preset corresponding relationship is determined based on the crystal form of the corresponding pharmaceutical material; for each data feature set in the plurality of data feature sets, determining a first similarity between the target ultrasonic data features and the ultrasonic data features in the data feature set; determining a second similarity between the target spectral data features and the spectral data features in the data feature set; taking the average of the first similarity and the second similarity as a third similarity of the data feature set; taking the first preset corresponding relationship corresponding to the data feature set with the maximum third similarity in the second preset corresponding relationship as the target first preset corresponding relationship.

[0105] Specifically, the second preset correspondence relationship can be understood as a pre-established knowledge base or lookup table, which stores the mapping relationship between the ultrasonic data features, spectral data features of different medicinal material crystal forms and the corresponding drying control strategies. Each data feature set represents the combination of ultrasonic data features and spectral data features of medicinal material under a specific crystal form. For example, for a certain medicinal material, there may be multiple crystal forms, and each crystal form has a unique performance under the ultrasonic sensor and multispectral imaging device. Therefore, different first preset correspondence relationships need to be established for different crystal forms to ensure the accuracy of drying control. The drying control strategy in the first preset correspondence relationship is determined based on the crystal form of the corresponding medicinal material, which means that the best drying control strategy for medicinal material with different crystal forms is different.

[0106] wherein the first similarity between the target ultrasonic data feature and the ultrasonic data features in the data feature set is determined, aiming to quantify the matching degree between the ultrasonic characteristics of the currently detected medicinal material and the preset crystal form ultrasonic characteristics. The first similarity can be calculated by various algorithms, such as Euclidean distance, cosine similarity or correlation coefficient, etc. Similarly, the second similarity between the target spectral data feature and the spectral data features in the data feature set is determined, aiming to quantify the matching degree between the spectral characteristics of the currently detected medicinal material and the preset crystal form spectral characteristics. The second similarity can also use the above similarity calculation methods.

[0107] In practical applications, the average of the first similarity and the second similarity is taken as the third similarity of the data feature set, which aims to comprehensively consider the ultrasonic characteristics and spectral characteristics of the medicinal material to more comprehensively and accurately evaluate the matching degree of the current medicinal material with each preset crystal form data feature set. By calculating the average, the influence of two different types of data on similarity evaluation can be balanced.

[0108] Finally, the first preset correspondence relationship corresponding to the data feature set with the largest third similarity in the second preset correspondence relationship is taken as the target first preset correspondence relationship, which aims to select the drying control strategy mapping relationship corresponding to the crystal form that best matches the ultrasonic data features and spectral data features of the current medicinal material from the preset multiple crystal form correspondence relationships. In this way, it can be ensured that the selected drying control strategy is optimized for the actual crystal form state of the current medicinal material.

[0109] The scheme of the present application realizes accurate determination of the target first preset correspondence relationship by introducing a second preset correspondence relationship and combining target ultrasonic data features and target spectral data features through a similarity calculation method. Specifically, when the crystal form of the medicinal material may change, the traditional single preset correspondence relationship may not be able to accurately guide the drying process. The present application can calculate the similarity of the real-time obtained target ultrasonic data features and target spectral data features with each preset crystal form data feature set by pre-establishing a second preset correspondence relationship containing a plurality of crystal form data feature sets. By comprehensively considering the ultrasonic data features and the spectral data features and selecting the first preset correspondence relationship corresponding to the crystal form with the highest similarity, it is ensured that in the case of uncertainty or change of the crystal form of the medicinal material, the most suitable drying control strategy for the current material state can still be selected. This multi-dimensional feature similarity matching mechanism makes the control of the drying process more intelligent and refined.

[0110] The specific embodiment of the present application also discloses a vacuum belt dryer drying process control system, comprising: an acquisition device and a processing device; the acquisition device is used for acquiring drying progress information of a medicinal material and material information of the medicinal material on each laying area of a conveying belt of a vacuum belt dryer at a current time; the material information includes a moisture evaporation rate value, a moisture content value and a heat accumulation value of the medicinal material, and the drying progress information includes a preset moisture evaporation rate curve, a preset moisture content curve and a preset heat accumulation curve of the medicinal material; the processing device is used for determining target drying deviation information of the medicinal material for each laying area in the plurality of laying areas according to the material information and the drying progress information of the medicinal material on the laying area; and the processing device is used for determining a target drying control strategy of the medicinal material on the laying area according to the target drying deviation information.

[0111] The above is only an embodiment of the present application and is not used to limit the protection scope of the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for controlling the drying process of a vacuum belt dryer, characterized in that, The methods include: The drying process information of the pharmaceutical material and the material information of the pharmaceutical material in each laying area of ​​the conveyor belt of the vacuum belt dryer at the current moment are obtained; the material information includes the moisture evaporation rate value, moisture content value and heat accumulation value of the pharmaceutical material, and the drying process information includes the preset moisture evaporation rate curve, preset moisture content curve and preset heat accumulation curve of the pharmaceutical material. For each of the multiple laying areas, the target drying deviation information of the medicinal material is determined based on the material information of the medicinal material on the laying area and the drying process information; The target drying control strategy for the medicinal materials in the laying area is determined based on the target drying deviation information.

2. The method for controlling the drying process of a vacuum belt dryer according to claim 1, characterized in that, Based on the material information of the medicinal material in the laying area and the drying process information, the target drying deviation information of the medicinal material is determined, including: The difference between the moisture evaporation rate value and the parameter value corresponding to the current time in the preset moisture evaporation rate curve is taken as the moisture evaporation rate deviation value of the medicinal material. The difference between the moisture content value and the parameter value corresponding to the current time in the preset moisture content curve is taken as the moisture content deviation value of the medicinal material. The difference between the accumulated heat value and the parameter value corresponding to the current time in the preset accumulated heat curve is taken as the accumulated heat deviation value of the medicinal material. The deviation values ​​of the moisture evaporation rate, moisture content, and heat accumulation are encapsulated into the target drying deviation information.

3. The method for controlling the drying process of a vacuum belt dryer according to claim 1, characterized in that, Based on the target drying deviation information, a target drying control strategy for the pharmaceutical materials in the laying area is determined, including: Obtain the first preset correspondence of the target; the first preset correspondence of the target includes a one-to-one correspondence between multiple sets of deviation ranges and multiple drying control strategies; the set of deviation ranges includes the deviation range of moisture evaporation rate, the deviation range of moisture content, and the deviation range of heat accumulation. The set of deviation ranges into which the deviation values ​​in the target drying deviation information in the first preset correspondence of the target are taken as the target deviation range set; The drying control strategy corresponding to the target deviation range set in the first preset correspondence of the target is taken as the target drying control strategy.

4. The method for controlling the drying process of a vacuum belt dryer according to claim 1, characterized in that, The vacuum belt dryer includes multiple heat sources, and the conveyor belt includes multiple sub-conveyor belts, each sub-conveyor belt corresponding to a laying area. One heat source is used to heat the pharmaceutical material on one sub-conveyor belt. The target drying control strategy includes a heat source control strategy and a conveyor belt transmission rate control strategy. After determining the target drying control strategy for the pharmaceutical material on the laying area based on the target drying deviation information, the method further includes: A first message is sent to the control device of the heat source corresponding to the sub-conveyor belt; the first message is used to instruct the control device of the heat source to control the heat source according to the heat source control strategy. A second message is sent to the control device of the sub-conveyor belt; the second message is used to instruct the control device of the sub-conveyor belt to control the sub-conveyor belt according to the conveyor belt transmission rate control strategy.

5. The method for controlling the drying process of a vacuum belt dryer according to claim 3, characterized in that, The vacuum belt dryer includes multiple multispectral imaging devices, each corresponding to a specific laying area, to acquire material information of the pharmaceutical material on the laying area at the current moment, including: Obtain the target light reflection intensity value of the multispectral imaging device corresponding to the laying area at the current time; The moisture content of the medicinal material at the current moment is determined based on the preset moisture content-spectral characteristic curve and the target light reflectance intensity value; Obtain the moisture content value of the medicinal material at the previous time point at the current time point; The difference between the moisture content of the medicinal material at the current moment and the moisture content of the medicinal material at the previous moment is taken as the moisture evaporation rate of the medicinal material at the current moment. The heating power of the heat source corresponding to the laying area at each sampling moment during the drying period of the medicinal material is obtained; The cumulative heat value of the medicinal material at the current moment is obtained by integrating the heating power of the heat source at each sampling moment during the drying period of the medicinal material.

6. The method for controlling the drying process of a vacuum belt dryer according to claim 5, characterized in that, The vacuum belt dryer includes multiple ultrasonic sensors, each corresponding to a specific laying area. It determines the moisture content of the pharmaceutical material at the current moment based on a preset moisture content-spectral characteristic curve and the target light reflectance intensity value, including: Acquire ultrasonic data from the ultrasonic sensor corresponding to the laying area; The thickness of the medicinal material in the laying area is determined based on the ultrasonic data; The moisture content of the medicinal material at the current moment is determined based on the target light reflection intensity value and the thickness of the medicinal material.

7. The method for controlling the drying process of a vacuum belt dryer according to claim 6, characterized in that, Determining the moisture content of the medicinal material at the current moment based on the target light reflection intensity value and the thickness of the medicinal material includes: The desired light reflection intensity value of the pharmaceutical material is determined based on the thickness of the pharmaceutical material and the moisture absorption coefficient of the pharmaceutical material. Determine the absolute value of the difference between the desired light reflection intensity value and the target light reflection intensity value; If the absolute value of the difference is greater than a preset difference threshold, the average value of the desired light reflection intensity value and the target light reflection intensity value is used as the calculated light reflection intensity value. The moisture content value corresponding to the calculated light reflection intensity value in the preset moisture content-spectral characteristic curve is taken as the moisture content value of the pharmaceutical material at the current moment.

8. The method for controlling the drying process of a vacuum belt dryer according to claim 7, characterized in that, When the absolute value of the difference is greater than a preset difference threshold, a first preset correspondence relationship of the target is obtained, including: The target ultrasonic data characteristics are determined based on the ultrasonic data from the ultrasonic sensor. The target spectral data features are determined based on the spectral data from the multispectral imaging device at the current moment; The first preset correspondence between the target and the target is determined based on the target's ultrasonic data characteristics and the target's spectral data characteristics.

9. A method for controlling the drying process of a vacuum belt dryer according to claim 8, characterized in that, Determining the first preset correspondence based on the target ultrasound data features and the target spectral data features includes: Obtain a second preset correspondence; the second preset correspondence includes a one-to-one correspondence between multiple data feature sets and multiple first preset correspondences; the data feature sets include ultrasonic data features and spectral data features, one data feature set is determined based on a crystal form of the medicinal material, and the drying control strategy in the first preset correspondence is determined based on the corresponding crystal form of the medicinal material; For each of the multiple sets of data features, a first similarity is determined between the target ultrasound data feature and the ultrasound data features in the set of data features. Determine the second similarity between the target spectral data features and the spectral data features in the data feature set; The average of the first similarity and the second similarity is taken as the third similarity of the data feature set; The first preset correspondence corresponding to the data feature set with the highest similarity in the second preset correspondence is taken as the target first preset correspondence.

10. A drying process control system for a vacuum belt dryer, characterized in that, include: Acquisition device and processing device; The acquisition device is used to acquire drying process information of the medicinal material and material information of the medicinal material at the current moment on each laying area of ​​the conveyor belt of the vacuum belt dryer; the material information includes the moisture evaporation rate value, moisture content value and heat accumulation value of the medicinal material, and the drying process information includes the preset moisture evaporation rate curve, preset moisture content curve and preset heat accumulation curve of the medicinal material. The processing device is used to determine the target drying deviation information of the pharmaceutical material for each of the multiple laying areas, based on the material information of the pharmaceutical material on the laying area and the drying process information. The processing device is used to determine the target drying control strategy for the pharmaceutical materials in the laying area based on the target drying deviation information.

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