High-speed lollipop making process suitable for high-humidity and high-humidity environment

Abstract

The invention relates to a high-speed lollipop making process suitable for a high-humidity-heat environment. The high-speed lollipop making process comprises the following steps: S1, preparing materials; s2, gelatinizing: after the treatment is completed, filtering by a first double-filtering module at an outlet in the bottom of a gelatinizer, and then feeding into a feeding end of a lollipop extruder; s3, extrusion: the gelatinized mixture enters a lollipop extruder, sequentially passes through nine heating units, is filtered by a second double-filtering module and then is extruded, the environment temperature T and the environment humidity RH are obtained, a data signal is transmitted to a PID control system, and the PID control system independently regulates and controls the temperature of a conveying cavity of each heating unit; according to the high-speed lollipop making process, the purity and transparency of a lollipop body are doubly guaranteed, the overshoot phenomenon of traditional single-area temperature control is avoided by monitoring the temperature and humidity of the environment on the outer side of each heating unit of an extruder in a linkage mode, each heating unit is independently regulated and controlled through a PID control system, local overheating coking or sand returning is eliminated, and the production efficiency of the lollipop is improved. The quality of the extruded sugar body is improved.

Description

Technical Field

[0001] This invention relates to the field of candy production technology, and in particular to a high-speed lollipop manufacturing process suitable for high-humidity and heat environments. Background Technology

[0002] The sensitivity of confectionery production to environmental humidity extends throughout the entire process, from raw material processing to finished product packaging. Humidity control in confectionery workshops requires differentiated standards based on different production stages and confectionery types. Extruded semi-finished confectionery exposed to high humidity and heat is prone to absorbing moisture and melting or crystallizing, affecting the shape and transparency of the confectionery. Furthermore, the confectionery workshop itself generates heat and a large amount of steam during the cooking and extrusion processes, resulting in a constantly changing environment in terms of temperature and humidity, sometimes even experiencing sudden spikes in localized temperature and humidity. This necessitates corresponding adjustments to the process parameters in various areas of the extruder to prevent excessively high temperatures from causing caramelization or crystallization, which would ultimately affect the quality of the extruded confectionery.

[0003] Therefore, this invention proposes a high-speed lollipop manufacturing process suitable for high humidity and heat environments to solve the above problems. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a high-speed lollipop manufacturing process suitable for high humidity and heat environments, thereby improving the quality of the extruded candy.

[0005] To solve the above-mentioned technical problems, the technical solution of the present invention is: a high-speed lollipop manufacturing process suitable for high humidity and heat environments, the innovation of which is: including the following steps: S1. Ingredients: Add the raw materials into the mixing tank and stir until evenly mixed to obtain the mixture; S2, Gelatinization: The mixture is transferred into the gelatinizer for gelatinization and stringing. After processing, it is filtered by the first double filter module at the bottom outlet of the gelatinizer and then enters the feed end of the lollipop extruder. S3. Extrusion: After the gelatinized mixture enters the lollipop extruder, it passes through nine heating units in sequence, and is then filtered by the second double filter module before being extruded. The first temperature sensor is used to detect the temperature of the conveying chamber at each heating unit of the lollipop extruder in real time, and the second temperature sensor and humidity sensor are used to detect the external environment within a certain distance L of each heating unit in real time, obtaining the ambient temperature T and ambient humidity RH. The data signals of ambient temperature T and ambient humidity RH are transmitted to the PID control system, which then individually regulates the temperature of the conveying chamber of each heating unit.

[0006] Furthermore, the first dual-filter module has two first filters. During filtration, only one first filter is used for filtration, and the pressure at the first dual-filter module is detected by a first pressure sensor. The second pressure sensor is used to detect the pressure at the feed end of the lollipop extruder. , will compare and ,when At that time, among them If the first allowable differential pressure value is set to 0.2~0.3 bar, it is determined that the first filter of the first dual filter module is clogged. The other first filter of the first dual filter module is immediately switched to perform filtration work, and the clogged first filter is cleared. The second dual-filter module has two secondary filters. Filtration is performed using only one secondary filter, and the pressure at the second dual-filter module is detected by a third pressure sensor. The fourth pressure sensor is used to detect the pressure at the discharge end of the lollipop extruder. , will compare and ,when At that time, among them If the second allowable differential pressure value is set to 8~10 bar, it is determined that the second filter of the second dual filter module is clogged. The other second filter of the second dual filter module is immediately switched to carry out filtration work, and the clogged second filter is cleared.

[0007] Furthermore, the distance L is 0.5~1.0m.

[0008] Furthermore, the method by which the PID control system regulates the temperature of the conveying chamber of each heating unit includes the following steps: Step 1: Based on experimental analysis and empirical design principles, construct a theoretical model of the correlation between the control temperature in lollipop production and ambient temperature and humidity, using ambient temperature T and ambient humidity RH as independent variables, and the temperature of the conveying chamber of the lollipop extruder as the control temperature. As the dependent variable, the objective function is obtained through regression analysis, and its expression is as follows: in, Reference temperature; Step 2: Establish a temperature control model for each heating unit of the lollipop extruder based on PID control. The expression is: in, This represents the temperature of the conveying chamber inside the lollipop extruder after the nth adjustment, where n≥1; This represents the magnitude of the temperature change in the delivery chamber during the nth adjustment. The heating unit of the lollipop extruder is composed of Adjustment to Response time; Step 3: Based on the on-site measured data, establish a two-dimensional coordinate system, plot the trend lines of ambient temperature T and ambient humidity RH with respect to time t, and obtain the corresponding trend fitting equation. and RH(t); Step 4: Fit the trends of ambient temperature and humidity to the equation. Substituting RH(t) into the correlation theory model, the control temperature of the delivery cavity is obtained. Dynamic correction model for time t: Step 5: Combining the temperature control model and the dynamic correction model, establish constraint formulas to control the temperature of the delivery cavity. Perform the solution until the control conditions are met. After the value is set, the lollipop extruder uses The value is used as the target value for temperature control of the conveying cavity, and the PID controller is used to control the temperature of the corresponding heating unit.

[0009] Furthermore, the reference temperature The temperature is 140~160℃.

[0010] Furthermore, the temperature change amplitude of the delivery chamber during the nth adjustment in step 2... The expression is: in, The coefficient of performance is the heat transfer efficiency. This is the proportional gain coefficient; This is the integral gain coefficient; The differential gain coefficient; To reach the response time The measured temperature value of the delivery cavity at any given time; For integration time; for The measured temperature value of the delivery cavity at any given time; The rate of change of the temperature in the delivery chamber with response time.

[0011] Furthermore, the method for obtaining the trend fitting equation in step 3 is as follows: Step 3.1: Establish a set of trend prediction models {L, X, O, P, W, M, G, S}; Where L is the regression analysis model, X is the exponential model, O is the logarithmic model, P is the multinomial model, W is the power function model, M is the modified exponential model, G is the Gompertz model, and S is the logistic curve model. Step 3.2: Establish a trend fitting model using minimizing the R-squared value as the objective function; Step 3.3: After establishing the two-dimensional coordinates, draw a scatter plot based on the field measurement data, use the regression analysis model to draw the trend curve of the scatter plot, obtain the corresponding trend fitting equation, and calculate the R-squared value of the corresponding trend curve, which are then used as the current solution. Step 3.4: Iterate through the entire trend prediction model set, compare the calculated solution with the current solution, and replace and update the current solution if the calculated solution is greater than the current solution. Step 3.5: After traversing the set of trend prediction models, the trend fitting equation corresponding to the current solution is taken as the optimal trend fitting equation.

[0012] Furthermore, the constraint formula in step 5 is: in, This represents the time corresponding to the nth adjustment.

[0013] Furthermore, the control conditions in step 5 are as follows: in, This is the preset allowable temperature deviation value.

[0014] Furthermore, in the process of using a PID controller to regulate the temperature of the conveying chamber of the heating unit in the lollipop extruder, the newly solved... Compare with the current temperature control target value for the nth temperature control operation; If the control conditions are not met, continue with the nth temperature control. If the control conditions are met, the current control is stopped, and the temperature reached at the current stop time is taken as the control temperature. ,renew The current stopping time is used as ,renew And will update and Substitute the constraint formulas back into the solution.

[0015] The advantages of this invention are: The high-speed lollipop manufacturing process of this invention not only utilizes the first dual-filter module at the gelatinizer outlet to remove incompletely gelatinized particles and the second dual-filter module at the extruder outlet to remove caramelized agglomerates, thus doubly ensuring the purity and transparency of the candy, but also uses a PID control system to independently regulate each heating unit by monitoring the temperature and humidity of the environment outside each heating unit of the extruder, dynamically compensating for environmental interference. This allows for a rapid response to temperature fluctuations within the extruder's conveying chamber, avoiding the overshoot phenomenon of traditional single-zone temperature control, eliminating local overheating, caramelization, or sanding, improving the quality of the extruded candy, and reducing energy waste.

[0016] The PID control system of this invention transforms empirical parameters into a quantifiable static correlation theory model. By correlating on-site measured data into this model, a dynamic correction model is obtained that can dynamically adjust based on real-time environmental data as the temperature changes over time. When solving the problem using the temperature control model and the dynamic correction model, the system fully considers the response delay of temperature regulation in the production system. This is because the measured data of the on-site environment has changed after the temperature regulation ends. A constraint formula is established so that the solved temperature regulation target value is the fitted data of the on-site environment after the response time. This solves the problem that the temperature regulation cannot match the actual environment due to response delay and dynamic changes in the on-site environment. Thus, it enables dynamic adjustment of production process parameters based on changes in ambient temperature and humidity, with low cost and fast response speed. Attached Figure Description

[0017] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0018] Figure 1 This is a graph showing the trend of ambient temperature T with respect to time t in an embodiment of the present invention.

[0019] Figure 2 This is a graph showing the trend of ambient humidity (RH) with respect to time t in an embodiment of the present invention. Detailed Implementation

[0020] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0021] Example This embodiment provides a high-speed lollipop manufacturing process suitable for high humidity and heat environments, including the following steps: S1. Ingredients: Put the raw materials into the mixing tank and stir, control the stirring temperature at 60℃, and obtain the mixture after stirring evenly. S2, Gelatinization: The mixture is transferred into the gelatinizer for gelatinization and stringing. After processing, it is filtered by the first double filter module at the bottom outlet of the gelatinizer and then enters the feed end of the lollipop extruder. S3. Extrusion: After the gelatinized mixture enters the lollipop extruder, it passes through nine heating units in sequence, and is then filtered by the second double filter module before being extruded. The first temperature sensor is used to detect the temperature of the conveying chamber at each heating unit of the lollipop extruder in real time. The second temperature sensor and humidity sensor are used to detect the external environment within a certain distance L (0.5~1.0m) of each heating unit in real time, and obtain the ambient temperature T and ambient humidity RH. The data signals of ambient temperature T and ambient humidity RH are transmitted to the PID control system, which controls the temperature of the conveying chamber of each heating unit individually.

[0022] In this embodiment, the first dual-filter module has two first filters. During filtration, only one first filter is used for filtration. The pressure at the first dual-filter module is detected by a first pressure sensor. The second pressure sensor is used to detect the pressure at the feed end of the lollipop extruder. , will compare and ,when At that time, among them If the first allowable differential pressure value is set to 0.2~0.3 bar, it is determined that the first filter of the first dual filter module is clogged. The other first filter of the first dual filter module is immediately switched to perform filtration work, and the clogged first filter is cleared. The second dual-filter module has two secondary filters. Filtration is performed using only one secondary filter, and the pressure at the second dual-filter module is detected by a third pressure sensor. The fourth pressure sensor is used to detect the pressure at the discharge end of the lollipop extruder. , will compare and ,when At that time, among them If the second allowable differential pressure value is set to 8~10 bar, it is determined that the second filter of the second dual filter module is clogged. The other second filter of the second dual filter module is immediately switched to carry out filtration work, and the clogged second filter is cleared.

[0023] In this embodiment, the pressure at the feed end is controlled during the extrusion process of the extruder. The pressure at the discharge end is 0.7 bar. It is 37 bar.

[0024] The aforementioned high-speed lollipop manufacturing process not only utilizes the first dual-filter module at the gelatinizer outlet to remove incompletely gelatinized particles and the second dual-filter module at the extruder outlet to remove caramelized agglomerates, thus doubly ensuring the purity and transparency of the candy, but also uses a PID control system to independently regulate each heating unit by monitoring the temperature and humidity of the environment outside each heating unit of the extruder, dynamically compensating for environmental interference. This allows for a rapid response to temperature fluctuations within the extruder's conveying chamber, avoiding the overshoot phenomenon of traditional single-zone temperature control, eliminating local overheating, caramelization, or sanding, improving the quality of the extruded candy, and reducing energy waste.

[0025] In this embodiment, the method for the PID control system to regulate the temperature of the conveying chamber of each heating unit includes the following steps: Step 1: Based on experimental analysis and empirical design principles, construct a theoretical model of the correlation between the control temperature in lollipop production and ambient temperature and humidity, using ambient temperature T and ambient humidity RH as independent variables, and the temperature of the conveying chamber of the lollipop extruder as the control temperature. As the dependent variable, the objective function is obtained through regression analysis, and its expression is as follows: in, Reference temperature; In this embodiment, based on experimental analysis and empirical design principles, it was found that the production temperature control inside the lollipop extruder is crucial. It has a linear relationship with ambient temperature T and ambient humidity RH, and the objective function expression is: in, The ambient temperature coefficient is dimensionless and represents the intensity of the influence of ambient temperature on the temperature control inside the conveying chamber of the lollipop extruder. The ambient humidity coefficient, expressed in ℃ / %, indicates the intensity of the influence of ambient humidity on the temperature control within the conveying chamber of the lollipop extruder.

[0026] In this embodiment, The value is -0.5, meaning that for every 1°C increase in ambient temperature, the temperature inside the conveying chamber of the lollipop extruder needs to be reduced by 0.5°C to prevent overheating from causing caramelization or sanding. The value is -0.2, which means that for every 10% increase in ambient humidity, the temperature inside the conveying chamber of the lollipop extruder needs to be reduced by 2°C to prevent excessive softening due to moisture absorption. If the value is 150℃, then the expression for the objective function is: Equation (1): Step 2: Establish a temperature control model for each heating unit of the lollipop extruder based on PID control. The expression is: in, This represents the temperature of the conveying chamber inside the lollipop extruder after the nth adjustment, where n≥1; This represents the magnitude of the temperature change in the delivery chamber during the nth adjustment. The heating unit of the lollipop extruder is composed of Adjustment to Response time; In this embodiment, The expression is: Equation (5): in, The coefficient of performance is the heat transfer efficiency. This is the proportional gain coefficient; This is the integral gain coefficient; The differential gain coefficient; To reach the response time The measured temperature value of the delivery cavity at any given time; For integration time; for The measured temperature value of the delivery cavity at any given time; The rate of change of the temperature in the delivery chamber with response time.

[0027] Step 3: Based on the on-site measured data, establish a two-dimensional coordinate system, plot the trend lines of ambient temperature T and ambient humidity RH with respect to time t, and obtain the corresponding trend fitting equation. And RH(t), the detailed process is as follows: Step 3.1: Establish a set of trend prediction models {L, X, O, P, W, M, G, S}, where L is a regression analysis model, X is an exponential model, O is a logarithmic model, P is a multinomial model, W is a power function model, M is a modified exponential model, G is a Gompertz model, and S is a logistic curve model. Step 3.2: Establish a trend fitting model using minimizing the R-squared value as the objective function; Step 3.3: After establishing the two-dimensional coordinates, draw a scatter plot based on the field measurement data, use the regression analysis model to draw the trend curve of the scatter plot, obtain the corresponding trend fitting equation, and calculate the R-squared value of the corresponding trend curve (0≤R-squared value≤1), and use them as the current solutions in turn. Step 3.4: Iterate through the entire trend prediction model set, compare the calculated solution with the current solution, and replace and update the current solution if the calculated solution is greater than the current solution. Step 3.5: After traversing the set of trend prediction models, the trend fitting equation corresponding to the current solution is taken as the optimal trend fitting equation.

[0028] In this embodiment, as Figure 1 and Figure 2 As shown, based on the on-site measured temperature and humidity data, the quaternary polynomial model yielded the largest R-squared value. The trend fitting equations for a detection time of 180s are as follows: Equation (2): Equation (3): The above trend fitting equation , It changes dynamically in real time as the detection process continues.

[0029] Step 4: Fit the trends of ambient temperature and humidity to the equation. Substituting RH(t) into the correlation theory model, the control temperature of the delivery cavity is obtained. Dynamic correction model for time t: In this embodiment, the obtained trend fitting equations (2) and (3) are substituted into the correlation theory model (1) to obtain the dynamic correction model: Equation (4): The dynamic correction model fits the equation as the trend changes. , It changes dynamically in real time due to changes.

[0030] Step 5: Combining the temperature control model and the dynamic correction model, establish constraint formulas to control the temperature of the delivery cavity. Perform the solution until the control conditions are met. After the value is set, the lollipop extruder uses The value is used as the target value for temperature control of the conveying cavity, and the PID controller is used to control the temperature of the corresponding heating unit. The constraint formula is: in, This represents the time corresponding to the nth adjustment. This refers to the temperature inside the lollipop extruder's conveying chamber after the last (n-1)th adjustment. This corresponds to the time of the last adjustment, i.e., the (n-1)th adjustment. Therefore, in solving for... During the process, as well as All of these are known constants.

[0031] The control conditions are: in, The preset allowable temperature deviation is preferably 0.5~1.0℃.

[0032] In this embodiment, when solving, equations (4) and (5) are substituted into the constraint formula to solve. Each new solution obtained is evaluated according to the control conditions. If the control conditions are met, the new solution is used as the temperature control target value, and the PID controller is used to complete the temperature control of the heating unit.

[0033] In the process of using a PID controller to regulate the temperature of the conveying chamber of the heating unit in a lollipop extruder, the newly solved... Compare with the current temperature control target value for the nth temperature control operation; If the control conditions are not met, continue with the nth temperature control. If the control conditions are met, the current control is stopped, and the temperature reached at the current stop time is taken as the control temperature. ,renew The current stopping time is used as ,renew And will update and Substitute the constraint formulas back into the solution.

[0034] The PID control system transforms empirical parameters into a quantifiable, static correlation theory model. By correlating field-measured data into this model, a dynamic correction model is obtained that can dynamically adjust based on real-time environmental data as the temperature changes over time. When solving the temperature control model and the dynamic correction model, the system fully considers the response delay of temperature regulation in the production system. This is because the field-measured environmental data has changed after the temperature regulation ends. By establishing constraint formulas, the solved temperature regulation target value becomes the field-measured environmental data after the response time. This solves the problem of temperature regulation not matching the actual environment due to response delay and dynamic changes in the field environment. As a result, the system can dynamically adjust production process parameters based on changes in ambient temperature and humidity, achieving low cost and fast response speed.

[0035] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A high-speed lollipop manufacturing process suitable for high-humidity and high-temperature environments, characterized in that: Includes the following steps: S1. Ingredients: Add the raw materials into the mixing tank and stir until evenly mixed to obtain the mixture; S2, Gelatinization: The mixture is transferred into the gelatinizer for gelatinization and stringing. After processing, it is filtered by the first double filter module at the bottom outlet of the gelatinizer and then enters the feed end of the lollipop extruder. S3. Extrusion: After the gelatinized mixture enters the lollipop extruder, it passes through nine heating units in sequence, and is then filtered by the second double filter module before being extruded. The first temperature sensor is used to detect the temperature of the conveying chamber at each heating unit of the lollipop extruder in real time, and the second temperature sensor and humidity sensor are used to detect the external environment within a certain distance L of each heating unit in real time, obtaining the ambient temperature T and ambient humidity RH. The data signals of ambient temperature T and ambient humidity RH are transmitted to the PID control system, which then individually regulates the temperature of the conveying chamber of each heating unit.

2. The high-speed lollipop manufacturing process suitable for high humidity and heat environments according to claim 1, characterized in that: The first dual-filter module has two first filters. During filtration, only one first filter is used for filtration. The pressure at the first dual-filter module is detected by a first pressure sensor. The second pressure sensor is used to detect the pressure at the feed end of the lollipop extruder. , will compare and ,when At that time, among them If the first allowable differential pressure value is set to 0.2~0.3 bar, it is determined that the first filter of the first dual filter module is clogged. The other first filter of the first dual filter module is immediately switched to perform filtration work, and the clogged first filter is cleared. The second dual-filter module has two secondary filters. Filtration is performed using only one secondary filter, and the pressure at the second dual-filter module is detected by a third pressure sensor. The fourth pressure sensor is used to detect the pressure at the discharge end of the lollipop extruder. , will compare and ,when At that time, among them If the second allowable differential pressure value is set to 8~10 bar, it is determined that the second filter of the second dual filter module is clogged. The other second filter of the second dual filter module is immediately switched to carry out filtration work, and the clogged second filter is cleared.

3. The high-speed lollipop manufacturing process suitable for high humidity and heat environments according to claim 1, characterized in that: The distance L is 0.5~1.0m.

4. The high-speed lollipop manufacturing process suitable for high humidity and heat environments according to claim 1, characterized in that: The method by which the PID control system regulates the temperature of the delivery chamber of each heating unit includes the following steps: Step 1: Based on experimental analysis and empirical design principles, construct a theoretical model of the correlation between the control temperature in lollipop production and ambient temperature and humidity, using ambient temperature T and ambient humidity RH as independent variables, and the temperature of the conveying chamber of the lollipop extruder as the control temperature. As the dependent variable, the objective function is obtained through regression analysis, and its expression is as follows: in, Reference temperature; Step 2: Establish a temperature control model for each heating unit of the lollipop extruder based on PID control. The expression is: in, This represents the temperature of the conveying chamber inside the lollipop extruder after the nth adjustment, where n≥1; This represents the magnitude of the temperature change in the delivery chamber during the nth adjustment. The heating unit of the lollipop extruder is composed of Adjustment to Response time; Step 3: Based on the on-site measured data, establish a two-dimensional coordinate system, plot the trend lines of ambient temperature T and ambient humidity RH with respect to time t, and obtain the corresponding trend fitting equation. and RH(t); Step 4: Fit the trends of ambient temperature and humidity to the equation. Substituting RH(t) into the correlation theory model, the control temperature of the delivery cavity is obtained. Dynamic correction model for time t: Step 5: Combining the temperature control model and the dynamic correction model, establish constraint formulas to control the temperature of the delivery cavity. Solve the problem until the control conditions are met. After the value is set, the lollipop extruder uses The value is used as the target value for temperature control of the conveying cavity, and the PID controller is used to control the temperature of the corresponding heating unit.

5. The high-speed lollipop manufacturing process suitable for high humidity and heat environments according to claim 4, characterized in that: The reference temperature The temperature is 140~160℃.

6. The high-speed lollipop manufacturing process suitable for high humidity and heat environments according to claim 4, characterized in that: The amplitude of the temperature change of the delivery cavity during the nth adjustment in step 2 The expression is: in, The coefficient of performance is the heat transfer efficiency. This is the proportional gain coefficient; This is the integral gain coefficient; The differential gain coefficient; To reach the response time The measured temperature value of the delivery cavity at any given time; For integration time; for The measured temperature value of the delivery cavity at any given time; The rate of change of the temperature in the delivery chamber with response time.

7. The high-speed lollipop manufacturing process suitable for high humidity and heat environments according to claim 4, characterized in that: The method for obtaining the trend fitting equation in step 3 is as follows: Step 3.1: Establish a set of trend prediction models {L, X, O, P, W, M, G, S}; Where L is the regression analysis model, X is the exponential model, O is the logarithmic model, P is the multinomial model, W is the power function model, M is the modified exponential model, G is the Gompertz model, and S is the logistic curve model. Step 3.2: Establish a trend fitting model using minimizing the R-squared value as the objective function; Step 3.3: After establishing the two-dimensional coordinates, draw a scatter plot based on the field measurement data, use the regression analysis model to draw the trend curve of the scatter plot, obtain the corresponding trend fitting equation, and calculate the R-squared value of the corresponding trend curve, which are then used as the current solution. Step 3.4: Iterate through the entire trend prediction model set, compare the calculated solution with the current solution, and replace and update the current solution if the calculated solution is greater than the current solution. Step 3.5: After traversing the set of trend prediction models, the trend fitting equation corresponding to the current solution is taken as the optimal trend fitting equation.

8. The high-speed lollipop manufacturing process suitable for high humidity and heat environments according to claim 4, characterized in that: The constraint formula in step 5 is: in, This represents the time corresponding to the nth adjustment.

9. The high-speed lollipop manufacturing process suitable for high humidity and heat environments according to claim 8, characterized in that: The control conditions in step 5 are as follows: in, This is the preset allowable temperature deviation value.

10. The high-speed lollipop manufacturing process suitable for high humidity and heat environments according to claim 9, characterized in that: In the process of using a PID controller to regulate the temperature of the conveying cavity of the heating unit in the lollipop extruder, the newly solved... Compare with the current temperature control target value for the nth temperature control operation; If the control conditions are not met, continue with the nth temperature control. If the control conditions are met, the current control is stopped, and the temperature reached at the current stop time is taken as the control temperature. ,renew The current stopping time is used as ,renew And will update and Substitute the constraint formulas back into the solution.

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