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CN-121995879-A - Intelligent production and processing control system oriented to traditional Chinese medicine slicing and drying process

CN121995879ACN 121995879 ACN121995879 ACN 121995879ACN-121995879-A

Abstract

The invention discloses an intelligent production and processing control system oriented to a slicing and drying process of traditional Chinese medicinal materials, and relates to the technical field of production and processing control. The system acquires slice state data reflecting the corresponding slice uniformity of a specified batch of traditional Chinese medicinal materials and drying state data reflecting the drying uniformity, adopts at least one processing mode of material state suitability analysis and processing state trend prejudgment, acquires material state data under a real-time regulation and control working condition, synchronously adaptively regulates and controls the conveying speed of the sliced materials based on the slice load of current slicing equipment and the drying load of a drying cavity, dynamically monitors the condition of material state change according to the regulated and controlled conveying speed, and quantifies the suitability between the current material state and the corresponding slice-drying cooperative control effect, thereby effectively solving the technical problem of unbalanced front-back procedure adaptation caused by lag in the control process of the connection stage between the supply of the traditional Chinese medicinal material slices and the drying treatment in the prior art.

Inventors

  • CAI XINGHUI

Assignees

  • 麻城市康芝羚中药材有限公司

Dates

Publication Date
20260508
Application Date
20260112

Claims (10)

  1. 1. Intelligent production processing control system towards chinese-medicinal material section and stoving technology, its characterized in that, the system includes: The material state sensing and dynamic analyzing module is used for collecting slice state data reflecting the slice uniformity of the traditional Chinese medicinal materials in the appointed batch and drying state data reflecting the drying uniformity of the traditional Chinese medicinal materials in the corresponding appointed batch, and adopts at least one processing mode of material state suitability analysis and processing state trend prejudgment; The slice-drying cooperative adaptation regulation and control module is used for receiving the execution result of the material state sensing and dynamic analysis module, acquiring material state data under a real-time regulation and control working condition, and adaptively regulating and controlling the conveying speed of the sliced material based on the slice load of the current slicing equipment and the drying load of the drying cavity synchronously; and the working condition fluctuation self-adaptive response module is used for dynamically monitoring the change condition of the material state according to the regulated conveying speed and quantifying the suitability between the current material state and the corresponding slice-drying cooperative control effect.
  2. 2. The intelligent production and processing control system for slicing and drying processes of Chinese medicinal materials according to claim 1, wherein the material state sensing and dynamic analyzing module comprises a multi-source data acquisition unit and a state intelligent analysis unit; The multi-source data acquisition unit is used for acquiring slice thickness deviation and slice dispersion uniformity of the specified batch of traditional Chinese medicinal materials in the slicing process, and acquiring a material state data set after data noise reduction and standardized calibration are carried out on the water content of the material surface of the specified batch of traditional Chinese medicinal materials in the drying process and the material layer temperature difference in the drying cavity; The intelligent state analysis unit is used for executing material state suitability analysis and/or processing state trend prejudgement according to the material state data set; the slice thickness deviation represents the absolute value of the difference between the average actual measured thickness of the specified batch of Chinese medicinal material slices and the preset standard thickness; the slice dispersion uniformity represents the average value of the absolute value of the deviation of the actual measured thickness of each single slice from the average slice thickness of a batch in the specified batch of Chinese medicinal material slices; The surface moisture content of the material represents the percentage of the average surface moisture mass of the slices of the traditional Chinese medicinal materials in a designated batch in the drying process to the total mass of the slices; The material layer temperature difference in the drying cavity represents the temperature deviation average value of the environments where the specified batches of traditional Chinese medicinal materials are located in different material bearing layers and different areas of the same bearing layer in the drying cavity.
  3. 3. The intelligent production and processing control system for slicing and drying processes of traditional Chinese medicine materials according to claim 2, wherein the specific process of the material state suitability analysis is as follows: The method comprises the steps of collecting physical state parameters of a slice-drying connection process in a current monitoring period, wherein the physical state parameters comprise real-time flow of slice conveying, layer thickness uniformity of slice tiling, and hot air penetrating efficiency and material conveying time length corresponding to drying equipment; Comparing the physical state parameters with the corresponding preset physical state parameter intervals one by one, and counting the parameter quantity of each physical state parameter exceeding the corresponding preset amplitude of the corresponding preset physical state parameter interval; If the number of the parameters is not more than 1, judging that the material state corresponding to the slice-drying joint is qualified, otherwise, judging that the material state corresponding to the slice-drying joint is unqualified.
  4. 4. The intelligent production and processing control system for slicing and drying processes of traditional Chinese medicine materials according to claim 2, wherein the specific process of predicting the trend of the processing state is as follows: Taking the current monitoring period as a time dimension, arranging the thickness of the Chinese medicinal material slices and the water content after drying, which are correspondingly monitored by all monitoring nodes in the current monitoring period, one by one according to the time sequence of all the monitoring nodes, and respectively drawing time sequence change curves corresponding to the slice uniformity and the drying uniformity; comparing the time sequence change curve with the time sequence change curve corresponding to the same period of the history one by one to obtain the period deviation rate and the trend change rate of each uniformity index, and defining a section which does not comprise 0 by taking-1, 0 and 1 as boundaries, wherein the section comprises a first section, a second section, a third section and a fourth section which are increased in corresponding values; If the period deviation rate and the trend change rate are both in the first interval, judging that the trend corresponding to the corresponding uniformity index is a rapid optimization trend, and maintaining the current processing state; if the period deviation rate and the trend change rate are both in the second interval, judging that the trend corresponding to the corresponding uniformity index is a stable optimization trend, and maintaining the current processing state; if the period deviation rate and the trend change rate are both in the third interval, judging that the trend corresponding to the corresponding uniformity index is a gradual degradation trend; if the period deviation rate and the trend change rate are both in the fourth interval, judging that the trend corresponding to the corresponding uniformity index is a rapid degradation trend; If the period deviation rate and the trend change rate are equal to 0, judging that the trend corresponding to the corresponding uniformity index is stable and has no fluctuation trend, and maintaining the current processing state; In addition to the above, it is determined that the trend corresponding to the corresponding uniformity index is a trend that the fluctuation has no significant trend, the current processing state is temporarily maintained, and the monitoring period of the preset amplitude is shortened.
  5. 5. The intelligent production and processing control system for slicing and drying processes of claim 2, wherein when the material state sensing and dynamic analyzing module performs a material state suitability analysis flow, the material state data includes physical state parameters and an average water content of the material; The conveying speed of the sliced materials is regulated and controlled in a self-adaptive way, the method specifically comprises the following steps: The absolute value of the difference between the slice load and the drying load is recorded as a load deviation; If the physical state parameters are in the corresponding preset physical state parameter intervals, the average water content of the materials is in the preset material water content allowable range, and the load deviation is not greater than the preset load deviation, prompting the PLC to maintain the current conveying speed; if only a single physical state parameter is not in the corresponding preset physical state parameter interval, prompting the PLC to adjust the conveying speed of the corresponding gradient based on the deviation amplitude of the corresponding physical state parameter; If the average water content of the materials is not within the preset allowable range of the water content of the materials, prompting the PLC to adjust the conveying speed of the corresponding gradient based on the exceeding proportion of the water content of the materials; If only the load deviation is larger than the preset load deviation, prompting the PLC to adjust the conveying speed of the corresponding gradient based on the deviation amplitude of the load deviation; if the non-singleness condition exists, the method is executed according to the corresponding priority order.
  6. 6. The intelligent production and processing control system for slicing and drying processes of Chinese medicinal materials according to claim 5, wherein the steps are executed according to the corresponding priority order, specifically as follows: Firstly, determining a basic adjustment gradient of the conveying speed by taking deviation data with highest priority as a basis, and then finely adjusting the basic adjustment gradient by taking deviation data with secondary priority as a correction basis to obtain a basic adjustment gradient corresponding to the conveying speed after fine adjustment; If the three conditions exist, after the primary regulation and the secondary regulation are completed, combining deviation data of the lowest priority condition, fine-tuning the basic adjustment gradient corresponding to the conveying speed after fine-tuning again, determining the adjustment gradient corresponding to the final conveying speed, and prompting the PLC to adjust the conveying speed.
  7. 7. The intelligent production and processing control system for slicing and drying processes of claim 2, wherein when the material state sensing and dynamic analyzing module performs a process state trend pre-judging process, the material state data includes a period deviation rate and a trend change rate; The conveying speed of the sliced materials is regulated and controlled in a self-adaptive way, the method specifically comprises the following steps: If the material state data are in the first interval, prompting the PLC to maintain the current conveying speed; if the material state data are in the second interval, prompting the PLC to maintain the current conveying speed; if the material state data are in the third interval, prompting the PLC to reduce the conveying speed according to the gradient corresponding to the superposition amplitude based on the corresponding superposition amplitude; If the material state data are in the fourth interval, prompting the PLC to reduce the conveying speed according to the gradient corresponding to the superposition amplitude based on the corresponding superposition amplitude; if the material state data are all equal to 0, prompting the PLC to maintain the current conveying speed; If the material state data belong to different intervals, the PLC is prompted to shorten the monitoring period of the preset amplitude while maintaining the current conveying speed.
  8. 8. The intelligent production and processing control system for slicing and drying processes of claim 2, wherein when the material state sensing and dynamic analyzing module performs a material state suitability analysis and processing state trend pre-judging process, the material state data includes physical state parameters, average water content of the material, period deviation rate and trend change rate; The conveying speed of the sliced materials is regulated and controlled in a self-adaptive way, the method specifically comprises the following steps: Firstly, executing a regulation and control logic for material state suitability analysis, and determining a basic regulation and control gradient of the conveying speed based on a load deviation amplitude, a physical state parameter deviation amplitude and a material water content exceeding proportion; And adding a regulating logic for prejudging the trend of the processing state, increasing the regulating amplitude on the basic regulating gradient, and if the period deviation rate and the trend change rate belong to different intervals, executing the regulation of the conveying speed according to the basic regulating gradient, and simultaneously shortening the monitoring period of the preset amplitude.
  9. 9. The intelligent production and processing control system for slicing and drying processes of Chinese medicinal materials according to claim 1, wherein the quantification of the suitability between the current material state and the corresponding slice-drying cooperative control effect specifically comprises: Synchronously acquiring material state data and cooperative control effect data in a first monitoring period after the conveying speed is regulated, wherein the material state data comprises physical state parameters and average water content of materials, and the cooperative control effect data comprises slice uniformity qualification rate and drying water content qualification rate; The physical state parameters and the average water content of the materials are respectively compared with corresponding preset physical state parameter intervals and preset material water content allowable ranges, and state standard reaching rates of all the parameters are calculated; Comparing the cooperative control effect data with a corresponding preset process cooperative control standard interval, and calculating the effect standard rate of each parameter; And taking the product of the state standard reaching rate and the effect standard reaching rate as a cooperative suitability quantization value to carry out suitability judgment of the current conveying speed.
  10. 10. The intelligent production and processing control system for slicing and drying processes of claim 9, wherein the suitability determination of the current conveying speed is specifically: if the coordination suitability quantization value is not smaller than the preset coordination suitability quantization value, judging that the current conveying speed is matched with the material state, and prompting the PLC to maintain the current conveying speed; Otherwise, the current conveying speed is not matched with the material state, and an adaptability deviation report is output based on the collaborative adaptability quantized value deviation.

Description

Intelligent production and processing control system oriented to traditional Chinese medicine slicing and drying process Technical Field The invention relates to the technical field of production and processing control, in particular to an intelligent production and processing control system oriented to a slicing and drying process of traditional Chinese medicinal materials. Background Under the background of the acceleration of the traditional Chinese medicine industry to standardization, modernization and internationalization, the traditional Chinese medicine processing industry is taken as an industrial chain core hub, the growth rate of 20% of annual average is rapidly developed, the intellectualization, the high efficiency and the greenization become industry consensus, and the slicing and the drying are taken as key procedures of the traditional Chinese medicine processing, so that the appearance regularity, the retention rate of active ingredients and the storage stability of the medicinal materials are directly determined, and the method is an important guarantee for the core technical carrier and the large-scale production of the conversion of the raw materials to standardized products. In actual processing, the slicing requirements of different traditional Chinese medicinal materials are different, namely, the whole petals are reserved (such as chrysanthemum and honeysuckle) and the petals are directionally unfolded (such as roses) without conventional slicing, but under the special requirements of functional slicing products, such as tea bags and compound granule raw material preparation, extremely thin slicing (less than or equal to 2 mm) can be carried out, petals can be removed in petal removing (such as astragalus mongholicus) processing, only rhizome parts are processed, and the petals participate in slicing (such as dendrobe) and multi-petal traditional Chinese medicinal materials (such as tribute chrysanthemum and roselle), and customized slicing and drying processing are required for petal structures. A programmable logic controller (PLC, programmable Logic Controller) is mainly used in the current industry to build a cooperative control system to realize process adaptation, a general slicing link adopts an intelligent slicing system with an intermittent feeding mechanism and a flexible limiting device, parameters can be flexibly adjusted according to medicine materials (such as the slicing thickness of dendrobium supports 0.3-1.5mm stepless adjustment), chrysanthemum is optimized into a special slicing system, quality is guaranteed through sectional feeding, flexible limiting of a hairbrush, servo driving (supports 0.5-2mm stepless slicing) and high-definition visual monitoring, a drying link is connected through an anti-extrusion flexible conveying belt after slicing, a heat pump system is used as a core in the drying link, a customized scheme of constant-temperature hot air at 40-50 ℃ and partitioned air guiding and intelligent moisture discharging is adopted for the chrysanthemum, and the PLC can pre-store technological parameter libraries of different medicines, data are collected in real time through a sensor, and automatic control is realized through dynamic adjustment of feeding speed, cutter rotating speed, heat pump power and moisture discharging frequency of drying. However, along with the large-scale and fine upgrading of the traditional Chinese medicine processing industry, the requirements of slicing and drying processes on working condition suitability and material consistency are continuously improved, the actual production often faces the differences of the textures (such as the hardness degree of roots, the petal thickness of flowers and leaves and the fiber toughness) of the traditional Chinese medicines in different producing areas, the requirements on the suitability of slicing cutting force and feeding rhythm are higher, the drying rate is directly influenced by the fluctuation of the initial water content of the raw materials, and the temperature and humidity regulation logic is required to be dynamically regulated. After the fluctuation appears in the processing scene and the raw material state, because the monitoring part of slicing link focuses on raw material position and cutter state more, this can further lead to the recognition of the subtle difference of traditional chinese medicine material to be accurate inadequately, and PLC is difficult to pertinently adjust cutting dynamics and pay-off rhythm, and then leads to carrying to the actual state of material of stoving link and the parameter is preset with the controller and has the deviation, influences the drying homogeneity. And secondly, although a sensor in the drying link can monitor the water content of the surface of a material, the real-time perception of the water migration rate inside the slice of the traditional Chinese medicine is lacking, and the controller still mainly depends on a preset progra