CN116931435B - Automatic regulation and control system and method for cistanche deserticola processing and drying - Google Patents
Automatic regulation and control system and method for cistanche deserticola processing and drying Download PDFInfo
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- 238000001035 drying Methods 0.000 title claims abstract description 167
- 238000000034 method Methods 0.000 title claims abstract description 54
- 241000336291 Cistanche deserticola Species 0.000 title claims abstract description 47
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Abstract
The invention relates to the field of automatic control, in particular to an automatic regulation and control system and method for cistanche deserticola processing and drying. The method comprises the following steps: monitoring environmental parameters of cistanche deserticola in the processing and drying process; calibrating the monitoring equipment; carrying out smooth adjustment on the monitored data, determining whether the time sequence of each environmental parameter is stable, estimating a long-term equilibrium relation and a coordination relation between the environmental parameters, and carrying out filtering smoothing treatment on the data; constructing a dryness index, and predicting an optimal control parameter through the dryness index; optimizing a calculation method of a drying index and a predicted optimal control parameter; and sending a regulating instruction to the equipment of the drying chamber, and automatically regulating the equipment of the drying chamber according to the regulating instruction. Solves the problems that the prior art can not adjust parameters in real time to adapt to continuously changing environmental conditions, resulting in slow or uneven drying process and the degradation of active ingredients caused by drying at too high temperature.
Description
Technical Field
The invention relates to the field of automatic control, in particular to an automatic regulation and control system and method for cistanche deserticola processing and drying.
Background
Cistanche is a herb widely used in traditional Chinese medicine, and is mainly used for tonifying kidney and strengthening body. The main active ingredients in cistanche include phenylethanoid glycosides, etc., and the content of the ingredients directly influences the efficacy of the cistanche. However, the treatment process of cistanche deserticola after harvesting, especially the drying process, has an important influence on the content of the active ingredients. If the drying process is improperly controlled, the loss of active ingredients may be caused, and the medicinal value of cistanche deserticola is reduced.
The traditional cistanche salsa drying method mainly comprises two steps of natural airing and drying. Natural drying is a simple and inexpensive method, but it requires long drying time and is affected by weather, and it is difficult to control the drying process and drying effect. The drying method is a rapid drying method, but the active ingredients of cistanche, such as phenylethanoid glycosides, can be degraded due to improper temperature control.
In recent years, some new drying techniques, such as vacuum drying, freeze drying, etc., have also been applied to the drying process of cistanche deserticola. The techniques can be dried at low temperature, which is beneficial to preserving the effective components of cistanche deserticola. Regardless of the drying method used, however, the drying process needs to be tightly controlled and monitored to ensure uniformity of drying and quality of the final product. However, the current drying process relies mainly on manual operation and experience, and it is difficult to achieve accurate and stable control.
Therefore, how to realize automation and intellectualization of the cistanche drying process so as to improve drying efficiency and product quality and protect active ingredients in cistanche is a problem to be solved in current cistanche production.
Chinese patent application number: CN202110541231.3, publication date: 2021.07.30A freeze-drying method of cistanche salsa belongs to the technical field of Chinese herbal medicine processing. The method comprises the following steps: pre-freezing fresh cistanche at-45 to-35 ℃ for 3-6 hours, then placing the cistanche in a vacuum degree of 5-100 Pa, and controlling the temperature to be from-75 to-30 ℃ to 40-60 ℃ for staged vacuum drying treatment, thus obtaining the cistanche subjected to vacuum freeze drying. The method provided by the invention can keep fresh to the greatest extent, and can keep the effective components and the curative effect of the traditional Chinese medicinal materials to the greatest extent.
However, in the process of implementing the technical scheme of the invention in the embodiment of the application, the inventor of the application finds that at least the following technical problems exist in the above technology: the prior art may not be able to adjust the parameters in real time to adapt to changing environmental conditions, resulting in slow or uneven drying process, and may dry at too high a temperature, resulting in degradation of the active ingredient. Unsuitable drying conditions may result in loss of product or reworking, and some existing methods may only be suitable for specific environments or conditions, lacking versatility.
Disclosure of Invention
According to the automatic regulation and control system and method for cistanche deserticola processing and drying, the problems that parameters cannot be adjusted in real time to adapt to continuously changing environmental conditions, the drying process is slow or uneven, drying can be performed at an excessively high temperature, and degradation of active ingredients is caused in the prior art are solved. Unsuitable drying conditions may result in loss of product or reworking, and some existing methods may only be suitable for specific environments or conditions, lacking versatility. The method realizes an efficient, stable and reliable solution for the drying process of cistanche deserticola.
The application provides an automatic regulation and control system and method for cistanche deserticola processing and drying, which specifically comprise the following technical scheme:
an automatic control system for cistanche deserticola processing and drying comprises the following parts:
the system comprises an environment monitoring module, a calibration module, a smooth adjustment module, a self-adaptive algorithm module, an optimization module, an automatic regulation and control module and a data communication module;
the smoothing adjustment module is used for carrying out smoothing adjustment on the monitored data, determining whether the time sequence of each environmental parameter is stable, carrying out differential processing on the unstable time sequence before carrying out cooperative inspection, estimating a long-term equilibrium relation and a cooperative relation between the environmental parameters, carrying out smoothing processing on the data by using a filtering method, and connecting the smoothing adjustment module with the self-adaptive algorithm module in a data transmission mode;
the self-adaptive algorithm module is used for constructing a drying index to reflect the state of cistanche deserticola in the drying process, predicting the optimal control parameters through the drying index, and is connected with the optimization module in a data transmission mode;
the optimizing module is used for optimizing the calculation method of the drying index and the predicted optimal control parameter, and the optimizing module is connected with the automatic regulation and control module in a data transmission mode.
An automatic regulation and control method for cistanche deserticola processing and drying comprises the following steps:
s100: monitoring environmental parameters of cistanche deserticola in the processing and drying process;
s200: calibrating the monitoring equipment;
s300: carrying out smooth adjustment on the monitored data, determining whether the time sequence of each environmental parameter is stable, estimating a long-term equilibrium relation and a coordination relation between the environmental parameters, and carrying out filtering smoothing treatment on the data;
s400: constructing a drying index to reflect the state of cistanche deserticola in the drying process, and predicting the optimal control parameters through the drying index;
s500: optimizing a calculation method of a drying index and a predicted optimal control parameter;
s600: and sending a regulating instruction to the equipment of the drying chamber, and automatically regulating the equipment of the drying chamber according to the regulating instruction.
Preferably, the step S300 specifically includes:
and determining whether the time sequence of each environmental parameter is stable or not, and differentiating the unstable time sequence before the cooperation test is carried out to construct a differential processing formula.
Preferably, the step S300 further includes:
when the time sequences of the two environmental parameters are unstable, a long-term equilibrium relation between the two environmental parameters needs to be estimated, regression analysis is carried out by using the long-term equilibrium relation to obtain a residual error, and whether the residual error is stable or not is checked; when the examination result is stable, it is indicated that a synergistic relationship exists.
Preferably, the step S300 further includes:
based on the obtained synergistic relationship, smoothing the data by using a filtering method, and predicting a real environmental parameter value in the presence of noise.
Preferably, the step S400 specifically includes:
constructing a drying index to reflect the state of cistanche deserticola in the drying process, wherein the index is related to all environmental parameters; considering that the combined action of two or more parameters in the environmental parameters can influence the drying rate, and the situation that the environmental parameters are inversely proportional to the drying rate exists; the environmental parameters are used as indirect influencing factors, and the flow speed and the drying effect are influenced by influencing the density of the air; integrating the dry index over time to obtain a calculation formula of the dry index.
Preferably, the step S400 further includes:
the optimal control parameters are predicted through the dryness index, the sensitivity to the environmental parameters is enhanced through taking the comprehensive effect of more than two environmental parameters into consideration, and the increase or decrease of the specific parameters can influence the whole control parameters through using the fractional structure.
Preferably, the step S500 specifically includes:
the combination of environmental parameters is smoothed using a logarithmic function to provide a correction factor, resulting in a corrected dryness index formula.
Preferably, the step S500 further includes:
and controlling the parameter range by using an exponential function, and adjusting according to the corrected drying index to obtain a corrected control parameter formula.
The beneficial effects are that:
the technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
1. according to the method, parameters such as temperature, humidity, wind speed and pressure are comprehensively considered, the drying environment can be estimated more accurately, various dynamics in the drying process can be better known through real-time monitoring and analysis of the environmental parameters, data support is provided for future optimization, and the effective components in cistanche deserticola are protected to the greatest extent;
2. accurate calculation of the drying index and the control parameters is realized, and component loss caused by improper drying conditions is reduced, so that the cost of reprocessing or discarding unqualified products is reduced; by correcting the drying index and the control parameters, the stability and the reliability of the drying process are improved, and the risk of poor drying effect caused by abnormal or unstable parameters is reduced;
3. according to the method, parameters of the drying equipment can be automatically adjusted according to real-time environmental data, manual intervention is not needed, the automation and intelligent level of the drying process is greatly improved, and meanwhile, the drying quality and efficiency of cistanche deserticola are guaranteed;
4. according to the technical scheme, the problems that parameters cannot be adjusted in real time to adapt to continuously changing environmental conditions, the drying process is slow or uneven, and the degradation of effective components is caused due to the fact that the drying process is performed at an excessively high temperature can be effectively solved. The unsuitable drying conditions may result in loss or reprocessing of the product, some existing methods may be only suitable for specific environments or conditions, lack versatility, and the above system or method has undergone a series of effect studies, and through verification, can finally provide an efficient, stable and reliable solution for the cistanche drying process.
Drawings
FIG. 1 is a diagram of an automatic control system for cistanche processing and drying, which is described in the application;
FIG. 2 is a flow chart of an automatic control method for cistanche processing and drying, which is described in the application;
Detailed Description
According to the automatic regulation and control system and method for cistanche deserticola processing and drying, the problems that parameters cannot be adjusted in real time to adapt to continuously changing environmental conditions, the drying process is slow or uneven, drying can be performed at an excessively high temperature, and degradation of active ingredients is caused in the prior art are solved. Unsuitable drying conditions may result in loss of product or reworking, and some existing methods may only be suitable for specific environments or conditions, lacking versatility.
The technical scheme in the embodiment of the application aims to solve the problems, and the overall thought is as follows:
according to the method, parameters such as temperature, humidity, wind speed and pressure are comprehensively considered, the drying environment can be estimated more accurately, various dynamics in the drying process can be better known through real-time monitoring and analysis of the environmental parameters, data support is provided for future optimization, and the effective components in cistanche deserticola are protected to the greatest extent; accurate calculation of the drying index and the control parameters is realized, and component loss caused by improper drying conditions is reduced, so that the cost of reprocessing or discarding unqualified products is reduced; by correcting the drying index and the control parameters, the stability and the reliability of the drying process are improved, and the risk of poor drying effect caused by abnormal or unstable parameters is reduced; according to the method and the device, parameters of the drying equipment can be automatically adjusted according to real-time environmental data, manual intervention is not needed, the automation and intelligent level of a drying process is greatly improved, and meanwhile, the drying quality and efficiency of cistanche deserticola are guaranteed.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Referring to fig. 1, an automatic control system for cistanche deserticola processing and drying described in the application comprises the following parts:
the system comprises an environment monitoring module 10, a calibration module 20, a smoothing adjustment module 30, an adaptive algorithm module 40, an optimization module 50, an automatic regulation and control module 60 and a data communication module 70;
the environment monitoring module 10 is configured to monitor environmental parameters of cistanche deserticola during the processing and drying process, collect real-time data, and convert analog signals into digital signals, where the environment monitoring module 10 is connected with the calibration module 20 and the data communication module 70 by a data transmission manner;
the calibration module 20 is configured to calibrate the monitoring device, ensure accuracy of a monitoring result, and connect the calibration module 20 with the environmental monitoring module 10 through a data transmission manner;
the smoothing adjustment module 30 is configured to perform smoothing adjustment on the monitored data, determine whether the time sequence of each environmental parameter is stable, and perform differential processing on the non-stable time sequence before performing the cooperative inspection, estimate a long-term equilibrium relationship and a cooperative relationship between the environmental parameters, perform smoothing processing on the data by using a filtering method, and connect the smoothing adjustment module 30 with the adaptive algorithm module 40 by using a data transmission manner;
the adaptive algorithm module 40 is configured to construct a drying index to reflect the state of cistanche deserticola in the drying process, predict the optimal control parameters according to the drying index, and the adaptive algorithm module 40 is connected with the optimization module 50 by means of data transmission;
the optimizing module 50 is configured to optimize a calculation method of the drying index and the predicted optimal control parameter, ensure that the calculation result is significant in practical application, and ensure that the drying process of cistanche deserticola is performed in an optimal state, and the optimizing module 50 is connected with the automatic regulating module 60 by a data transmission manner;
the automatic regulation and control module 60 is configured to send a regulation and control instruction to the equipment in the drying chamber, automatically regulate the equipment in the drying chamber according to the regulation and control instruction, and connect the automatic regulation and control module 60 with the data communication module 70 in a data transmission manner;
the data communication module 70 is used as a central communication hub to integrate and distribute all data; exchanging data with other modules and devices by using a proper communication protocol; the control unit runs an operating system, can process a plurality of tasks concurrently, ensures the real-time transmission and processing of data, and the data communication module 70 is connected with the smoothing regulation module 30 in a data transmission mode.
Referring to fig. 2, the automatic control method for cistanche deserticola processing and drying comprises the following steps:
s100: monitoring environmental parameters of cistanche deserticola in the processing and drying process;
environmental parameters of cistanche deserticola during processing and drying, such as temperature, humidity, wind speed, wind direction and the like, are monitored. And selecting monitoring equipment such as a high-precision temperature sensor, a high-precision humidity sensor, an anemometer and the like for real-time data acquisition, monitoring the state of a dry environment, and converting an analog signal into a digital signal by using an analog-to-digital converter (ADC) for processing by a subsequent module.
S200: calibrating the monitoring equipment;
errors in the monitoring device may affect the accuracy of the monitoring result, requiring calibration of the monitoring device. Initial calibration: the monitoring device is operated in a controlled environment and compared to the readings of the standard device to store the calibration offset for later use. For dry environments of cistanche salsa, on-line calibration is particularly important in view of possible sensor aging, environmental factor changes, etc. On-line calibration: the new data is calibrated from the historical data using a machine learning algorithm to eliminate systematic deviations. Specifically, a linear regression algorithm is employed to find the optimal calibration function. This can be done using the Linear Regression (linear regression) model in scikit-learn. And taking the data of the standard equipment as independent variables and the data of the equipment to be calibrated as the independent variables. By training, regression lines or calibration functions are obtained. Therefore, the monitoring equipment is calibrated regularly, and the accuracy of the monitoring result is ensured.
S300: carrying out smooth adjustment on the monitored data, determining whether the time sequence of each environmental parameter is stable or not, estimating a long-term equilibrium relation and a coordination relation between the environmental parameters, and carrying out filtering smoothing treatment on the data;
to ensure accuracy of the data, the monitored data is processed using the smoothing adjustment module 30, as the sensor readings may be subject to noise. In the environmental parameter data obtained based on the environmental monitoring module 10, useRepresenting the respective environmental parameters. For any two environmental parameters affecting cistanche deserticola processing drying, determining whether a long-term equilibrium relationship exists between the two environmental parameters. It is checked whether there is a stable time series between the environmental parameters. If both are unstable, but their linear combination is stable, they are synergistic.
Specifically, it is first determined whether the time series of each environmental parameter itself is stable. The unsteady time series need to be differenced before the synergy test can be performed. The specific formula is as follows:
，
wherein,indicating the monitored value of the ith environmental parameter at time t,/>Representing the difference, which is a method of converting an unsteady time series into a steady time series,/>represents the intercept term, represents the long-term average of the time series of environmental parameters, +.>Representing trend terms, representing a deterministic trend of possible time series, +.>Is a trend factor, ++>Representing the monitoring coefficient->Coefficients representing differential terms for capturing short term dynamics in time series +_>，/>Is the amount of data in the current environmental parameter time series,/->Representing a random error term. If the time series of both environmental parameters are unstable, then a long-term equilibrium relationship between them needs to be estimated, specifically as:
，
wherein,is a matrix describing the long-term equilibrium relationship between time series, < >>Is a parameter matrix that represents how the time series adjusts in a short period to regress to a long-term equalized trajectory. Long-term equilibrium switch using the aboveRegression analysis is performed to obtain residual errors, and whether the residual errors are stable is checked. If stable, a synergistic relationship is indicated.
Based on the obtained synergistic relationship, smoothing the data by using a filtering method, and predicting a real environmental parameter value in the presence of noise.
And a prediction step:
，
，
wherein,and->Ambient parameter prediction and update at time t, respectively,/->Is a state transition matrix, ">Is the transpose of the matrix, +.>Is a covariance matrix of estimated errors, representing uncertainty of prediction of environmental parameters at time t,/-, for example>Indicating uncertainty in the prediction of environmental parameters at the previous time, after consideration of the monitoring information at the previous time,is the covariance matrix of the noise.
Updating:
，
，
，
wherein,is a gain term->Is a monitoring matrix->Monitoring value representing environmental parameter at time t, < ->Is an identity matrix. The data of the acquired environmental parameters can be smoothed by smoothing the adjustments so that the data can be analyzed and used more accurately.
S400: constructing a drying index to reflect the state of cistanche deserticola in the drying process, and predicting the optimal control parameters through the drying index;
defining a feature vector G to comprehensively reflect the smoothly adjusted environmental parameters:wherein->Are all the smoothly adjusted environmental parameters. Based on the environmental parameter data processed by the smoothing adjustment module 30, optimal control parameters need to be predicted, and the drying chamber is adjusted according to the control parameters to maintain an optimal drying environment. The environmental parameters processed by the smoothing adjustment module 30 are used as characteristics, the predicted drying effect is used as a label, and a training data set is constructed.
First, a drying index DI is constructed to reflect the state of cistanche deserticola during drying, and this index is related to all environmental parameters. Considering that the combined action of two or more of the environmental parameters can affect the drying rate, in one embodiment, the combined action of temperature and air flow rate can affect the drying rate, the higher the temperature, the greater the air flow rate, the faster the drying rate. Furthermore, there are situations where the environmental parameter is inversely proportional to the drying rate, such as: the higher the humidity, the slower the drying rate. Environmental parameters such as pressure act as indirect influencing factors, influencing the flow rate and drying effect by influencing the density of the air. Integrating it over time, the calculation formula of the dryness index is obtained:
，
wherein,representing a ride, ->Represents an environmental parameter positively correlated to the drying rate, < >>Represents an environmental parameter inversely related to the drying rate,/->Indicating an indirect influencing factor, the drying index combines the continuous drying time (from 0 to t) with all environmental parameters, resulting in a cumulative drying effect.
The optimal control parameter CP is predicted by the dryness index, and the specific formula is as follows:
，
wherein,the representation is the number of measurements in a specified period of time. The co-multiplication being to take account of a plurality of environmental parametersThe combined effect enhances sensitivity to environmental parameters, while the fractional structure is such that an increase or decrease in a parameter can have an impact on the overall CP.
S500: optimizing a calculation method of a drying index and a predicted optimal control parameter;
in the process of predicting the control parameter by the adaptive algorithm module 40, when the value of the dryness index is smaller than the preset threshold, the direct use of the algorithm of the adaptive algorithm module 40 may cause the predicted control parameter to be excessively large or unstable. In some cases, the model may predict negative control parameters, which is not significant in practical applications. Therefore, the calculation method of the drying index and the predicted optimal control parameter needs to be optimized, and the specific optimization method is as follows:
smoothing using logarithmic functionsAnd->Provides a more stable correction factor. The modified dryness index formula is:
，
wherein,is a correction term. When->And->When the values of (2) are smaller, the correction term will have a larger value, and when they are increased, the correction term will decrease, thereby making +.>Is more stable.
Using an exponential function to ensure that the control parameters are within reasonable limits and based on the corrected stemDryness indexAnd (5) adjusting. The corrected control parameter formula is:
，
wherein,is an exponential decay function. When->When the attenuation function value is smaller than the preset threshold value, the attenuation function value is close to 1, thereby ensuring +.>The value of (2) is close to 0; when->When the attenuation function value is larger than the preset threshold value, the attenuation function value is close to 0, so that the +.>Is close to CP. The preset threshold is set by an expert according to self experience. By optimizing the drying index and the predicted control parameters, the calculation result is ensured to be significant in practical application, and the drying process of cistanche deserticola is ensured to be carried out in an optimal state.
S600: and sending a regulating instruction to the equipment of the drying chamber, and automatically regulating the equipment of the drying chamber according to the regulating instruction.
According to the calculated control parametersThe automatic control module 60 sends control instructions to the devices of the drying chamber, and automatically adjusts the devices of the drying chamber, such as a heater, a humidity control device, a fan, and the like, according to the control instructions, so as to ensure that cistanche deserticola is dried in the optimal drying environment, and achieve the optimal drying effect.
In summary, the automatic control system and method for cistanche deserticola processing and drying are completed.
The technical scheme in the embodiment of the application at least has the following technical effects or advantages:
1. according to the method, parameters such as temperature, humidity, wind speed and pressure are comprehensively considered, the drying environment can be estimated more accurately, various dynamics in the drying process can be better known through real-time monitoring and analysis of the environmental parameters, data support is provided for future optimization, and the effective components in cistanche deserticola are protected to the greatest extent;
2. accurate calculation of the drying index and the control parameters is realized, and component loss caused by improper drying conditions is reduced, so that the cost of reprocessing or discarding unqualified products is reduced; by correcting the drying index and the control parameters, the stability and the reliability of the drying process are improved, and the risk of poor drying effect caused by abnormal or unstable parameters is reduced;
3. according to the method and the device, parameters of the drying equipment can be automatically adjusted according to real-time environmental data, manual intervention is not needed, the automation and intelligent level of a drying process is greatly improved, and meanwhile, the drying quality and efficiency of cistanche deserticola are guaranteed.
Effect investigation:
according to the technical scheme, the problems that parameters cannot be adjusted in real time to adapt to continuously changing environmental conditions, the drying process is slow or uneven, and the degradation of effective components is caused due to the fact that the drying process is performed at an excessively high temperature can be effectively solved. The unsuitable drying conditions may result in loss or reprocessing of the product, some existing methods may be only suitable for specific environments or conditions, lack versatility, and the above system or method has undergone a series of effect studies, and through verification, can finally provide an efficient, stable and reliable solution for the cistanche drying process.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. An automatic control system for cistanche deserticola processing and drying is characterized by comprising the following parts:
the system comprises an environment monitoring module, a calibration module, a smooth adjustment module, a self-adaptive algorithm module, an optimization module, an automatic regulation and control module and a data communication module;
the smoothing adjustment module is used for carrying out smoothing adjustment on the monitored data, determining whether the time sequence of each environmental parameter is stable, carrying out differential processing on the unstable time sequence before carrying out cooperative inspection, estimating a long-term equilibrium relation and a cooperative relation between the environmental parameters, carrying out smoothing processing on the data by using a filtering method, and connecting the smoothing adjustment module with the self-adaptive algorithm module in a data transmission mode;
the self-adaptive algorithm module is used for constructing a drying index to reflect the state of cistanche deserticola in the drying process, predicting the optimal control parameters through the drying index, and is connected with the optimization module in a data transmission mode;
the optimizing module is used for optimizing the calculation method of the drying index and the predicted optimal control parameter, and the optimizing module is connected with the automatic regulation and control module in a data transmission mode.
2. An automatic regulating and controlling method for cistanche deserticola processing and drying is characterized by comprising the following steps:
s100: monitoring environmental parameters of cistanche deserticola in the processing and drying process;
s200: calibrating the monitoring equipment;
s300: carrying out smooth adjustment on the monitored data, determining whether the time sequence of each environmental parameter is stable, estimating a long-term equilibrium relation and a coordination relation between the environmental parameters, and carrying out filtering smoothing treatment on the data;
s400: constructing a drying index to reflect the state of cistanche deserticola in the drying process, and predicting the optimal control parameters through the drying index;
s500: optimizing a calculation method of a drying index and a predicted optimal control parameter;
s600: and sending a regulating instruction to the equipment of the drying chamber, and automatically regulating the equipment of the drying chamber according to the regulating instruction.
3. The automatic control method for cistanche processing and drying according to claim 2, wherein the step S300 specifically comprises:
and determining whether the time sequence of each environmental parameter is stable or not, and differentiating the unstable time sequence before the cooperation test is carried out to construct a differential processing formula.
4. The automatic control method for drying cistanche deserticola according to claim 2, wherein the step S300 further comprises:
when the time sequences of the two environmental parameters are unstable, a long-term equilibrium relation between the two environmental parameters needs to be estimated, regression analysis is carried out by using the long-term equilibrium relation to obtain a residual error, and whether the residual error is stable or not is checked; when the examination result is stable, it is indicated that a synergistic relationship exists.
5. The method according to claim 4, wherein the step S300 further comprises:
based on the obtained synergistic relationship, smoothing the data by using a filtering method, and predicting a real environmental parameter value in the presence of noise.
6. The automatic control method for cistanche processing and drying according to claim 2, wherein the step S400 specifically comprises:
constructing a drying index to reflect the state of cistanche deserticola in the drying process, wherein the index is related to all environmental parameters; considering that the combined action of two or more parameters in the environmental parameters can influence the drying rate, and the situation that the environmental parameters are inversely proportional to the drying rate exists; the environmental parameters are used as indirect influencing factors, and the flow speed and the drying effect are influenced by influencing the density of the air; integrating the dry index over time to obtain a calculation formula of the dry index.
7. The automatic control method for drying cistanche deserticola according to claim 6, wherein the step S400 further comprises:
the optimal control parameters are predicted through the dryness index, the sensitivity to the environmental parameters is enhanced through taking the comprehensive effect of more than two environmental parameters into consideration, and the increase or decrease of the specific parameters can influence the whole control parameters through using the fractional structure.
8. The automatic control method for cistanche processing and drying according to claim 2, wherein the step S500 specifically comprises:
the combination of environmental parameters is smoothed using a logarithmic function to provide a correction factor, resulting in a corrected dryness index formula.
9. The automatic control method for drying cistanche deserticola according to claim 8, wherein the step S500 further comprises:
and controlling the parameter range by using an exponential function, and adjusting according to the corrected drying index to obtain a corrected control parameter formula.
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