A smart temperature and humidity control system for a seahorse hot air series drying process

Abstract

This invention relates to the field of drying engineering technology, specifically to an intelligent temperature and humidity control system for a seahorse hot air series drying process. The system includes a real-time internal moisture migration state characterization module for collecting the real-time total weight of seahorse batches and calculating the internal moisture migration flux; a microwave hot air phase change switching control module for receiving the internal moisture migration flux, calculating its flux change rate, and constructing phase change switching conditions. When the phase change switching conditions are met, the microwave output is stopped and the hot air drying potential dynamic balance control module is activated; the hot air drying potential dynamic balance control module receives the internal moisture migration flux, calculates the dynamic target external evaporation rate setpoint, and calculates the controller output signal for adjusting the hot air parameters. This invention solves the contradiction between drying efficiency and seahorse quality, and addresses the problem that traditional control methods cannot perceive the internal state of the material.

Description

Technical Field

[0001] This invention relates to the field of intelligent drying control technology, specifically to an intelligent temperature and humidity control system for a hippocampal hot air series drying process. Background Technology

[0002] Balancing drying efficiency and final quality is a key challenge in the drying process of seahorses. Traditional drying control methods usually rely on open-loop control based on preset time or fixed parameters, which cannot detect the internal moisture migration status of the material in real time.

[0003] When the evaporation rate provided by external hot air does not match the rate of moisture migration inside the material, such as when external evaporation is too fast, the material surface is prone to hardening, thereby reducing the quality of the seahorse. This control method lacks the ability to respond to and adapt to the real-time state of the material. Therefore, how to construct a closed-loop control system that can sense the internal state in real time and dynamically match the external drying potential with the internal moisture migration capacity to solve the contradiction between drying efficiency and quality has become a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0004] To solve the above-mentioned technical problems, the present invention provides an intelligent temperature and humidity control system for a seahorse hot air series drying process. Specifically, the technical solution of the present invention includes:

[0005] The real-time characterization module for internal moisture migration status is used to collect the real-time total weight of the seahorse batch through a weighing sensor and calculate the internal moisture migration flux based on the real-time total weight.

[0006] The microwave hot air phase change switching control module is used to receive the internal moisture migration flux and calculate its flux change rate. Based on the internal moisture migration flux and flux change rate, the phase change switching conditions are constructed. When the phase change switching conditions are met, the microwave output is stopped and the hot air drying potential dynamic balance control module is started.

[0007] The hot air drying potential dynamic balance control module is used to receive the internal moisture migration flux, calculate the dynamic target external evaporation rate setpoint based on the internal moisture migration flux, and track the target external evaporation rate setpoint with the internal moisture migration flux as the process variable, and calculate the controller output signal used to adjust the hot air parameters.

[0008] Preferably, the process by which the real-time characterization module for internal water migration status calculates internal water migration flux includes:

[0009] Get the real-time total weight at the current moment;

[0010] Get the real-time total weight at the previous sampling time;

[0011] The internal moisture migration flux is calculated using the backward difference method based on the current real-time total weight, the previous real-time total weight, and the preset sampling time interval.

[0012] Preferably, the method for determining the preset sampling time interval includes:

[0013] The system is calibrated based on the accuracy of the weighing sensor and the expected drying rate of the seahorse to achieve a balance between signal smoothness and system response sensitivity.

[0014] Preferably, the phase transition switching conditions are:

[0015] The internal water migration flux is greater than the preset migration flux activation threshold, and the flux change rate is less than the preset peak detection sensitivity.

[0016] Preferably, the migration flux activation threshold is calibrated using microwave drying experimental data of seahorses with different water contents and set as a safe percentage of the historical average peak value.

[0017] The peak detection sensitivity is calibrated based on the noise level of the internal moisture migration flux signal and is set to a negative value close to zero.

[0018] Preferably, the process by which the hot air drying potential dynamic balance control module calculates the target external evaporation rate setpoint includes:

[0019] The internal water migration flux calculated by the real-time characterization module of the internal water migration status at the previous sampling time is obtained.

[0020] By combining the internal moisture migration flux at the previous sampling time with the preset dynamic attenuation coefficient, the target external evaporation rate setpoint is calculated.

[0021] Preferably, the preset dynamic attenuation coefficient is calibrated through process experiments, and its value ranges from 0 to 1;

[0022] The dynamic attenuation coefficient can also be set as a piecewise function of the internal water migration flux.

[0023] Preferably, the hot air drying potential dynamic balance control module is also used for:

[0024] Calculate the rate deviation between the target external evaporation rate setpoint and the process variable.

[0025] Preferably, the process of the hot air drying potential dynamic balance control module calculating the controller output signal includes:

[0026] Based on the rate deviation, a proportional calculation is performed using a preset proportional gain;

[0027] Based on the rate deviation, and using a preset integral gain, perform the integral calculation;

[0028] Based on the rate deviation, differential calculation is performed using a preset differential gain;

[0029] The results of proportional, integral, and differential operations are combined to generate the controller output signal.

[0030] Preferably, the hot air drying potential dynamic balance control module is also used for:

[0031] When the process variable is less than the target external evaporation rate setpoint, increase the controller output signal to increase the hot air temperature or decrease the humidity;

[0032] When the process variable is greater than the target external evaporation rate setpoint, the controller output signal is reduced to lower the hot air temperature or increase the humidity.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. This system constructs a closed-loop adaptive control system based on the real-time internal state of materials, which transforms the imperceptible internal moisture migration state of materials in traditional control into a physical quantity that can be measured in real time, thus solving the problem that traditional control cannot perceive the internal state of materials.

[0035] 2. The system can accurately capture the optimal switching time between the microwave pretreatment stage and the hot air drying stage based on the real-time dynamic characteristics of the material. This is achieved by identifying the peak point of the internal moisture migration flux, ensuring the highest efficiency when hot air is introduced and effectively avoiding surface hardening.

[0036] 3. The system constructs a dynamic balance closed-loop control to ensure that the evaporation rate of the external hot air is always matched or slightly less than the migration rate of the internal moisture. This method allows the external drying potential to dynamically track the natural decay of the internal migration capacity, thereby avoiding surface hardening and resolving the contradiction between drying efficiency and seahorse quality.

[0037] 4. The hot air drying potential dynamic balance control module uses a proportional-integral-derivative (PID) algorithm to accurately track the dynamic target external evaporation rate setpoint, so that the actual evaporation rate is controlled near the dynamic target decay curve, achieving real-time, directional adjustment of the drying environment and high robustness. Attached Figure Description

[0038] The present invention will be further explained below with reference to the accompanying drawings and embodiments:

[0039] Figure 1 This is a structural diagram of the system of the present invention. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0041] Example 1:

[0042] Please see Figure 1 A smart temperature and humidity control system for a seahorse hot air series drying process, comprising:

[0043] The real-time characterization module for internal moisture migration status is used to collect the real-time total weight of the seahorse batch through a weighing sensor and calculate the internal moisture migration flux based on the real-time total weight.

[0044] The microwave hot air phase change switching control module is used to receive the internal moisture migration flux and calculate its flux change rate. Based on the internal moisture migration flux and flux change rate, the phase change switching conditions are constructed. When the phase change switching conditions are met, the microwave output is stopped and the hot air drying potential dynamic balance control module is started.

[0045] The hot air drying potential dynamic balance control module is used to receive the internal moisture migration flux, calculate the dynamic target external evaporation rate setpoint based on the internal moisture migration flux, and track the target external evaporation rate setpoint with the internal moisture migration flux as the process variable, and calculate the controller output signal used to adjust the hot air parameters.

[0046] A smart temperature and humidity control system for a hot air series drying process in a hippocampus aims to construct a closed-loop adaptive control system based on the real-time internal state of the material. In this embodiment, the system achieves this goal through the collaborative work of three core modules.

[0047] The system includes a real-time characterization module for internal moisture migration. The purpose of this module is to address the fundamental problem of traditional control methods' inability to perceive the internal state of materials, converting the immeasurable internal moisture migration state into a real-time measurable physical quantity. In this embodiment, the module uses a high-precision weighing sensor with a preset sampling time interval. Real-time total weight of seahorses in batches continuously collected in the drying chamber This module is based on the collected data. Data is used to calculate in real time an index characterizing the rate of moisture loss from materials, namely, the instantaneous external evaporation flux. This instantaneous external evaporation flux It can be measured in real time and, in this invention, is used as a real-time characterization signal of the unmeasurable internal moisture migration state, and is therefore also called internal moisture migration flux; It is the core parameter that connects all modules of this invention;

[0048] The system includes a microwave hot air phase change switching control module. This module is defined and intended to act as a switching control module connecting the microwave pretreatment stage and the hot air drying stage. Its core principle is to accurately capture the optimal switching timing based on the real-time kinetic characteristics of the material. In this embodiment, this module receives real-time data from module one. The signal is analyzed, and its derivative is calculated to determine the flux change rate. In this embodiment, to ensure the robustness of the derivative signal and suppress sensor noise, the differentiation process employs the backward difference method, i.e. The module applies a first-order hysteresis filter to the calculation results, based on... and Construct a phase transition switching condition This criterion is used to identify The peak point represents the point where the internal moisture migration channels are fully open, resulting in the highest efficiency of hot air intervention; when this phase change switching condition... When the condition is met, the system immediately and automatically performs a switch: stopping microwave output, i.e. And start the next stage of hot air drying potential dynamic balance control module;

[0049] The system includes a hot air drying potential dynamic balance control module. The definition and purpose of this module is to construct a dynamic balance closed-loop control system based on internal moisture migration flux, ensuring that the evaporation rate of the external hot air is always matched with or slightly less than the internal moisture migration rate, thereby preventing surface hardening. In this embodiment, after being activated during the hot air drying stage, this module continuously receives internal moisture migration flux from module one. It utilizes this Specifically, it refers to the value from the previous period. To calculate a dynamic target external evaporation rate setpoint At the same time, it will be the current real-time As a process variable; the core task of this module is to construct a control loop, for Dynamic tracking is performed, and parameters used to adjust the hot air, such as heater power, are calculated. or dehumidifier power controller output signal ;

[0050] This embodiment achieves a complete closed-loop adaptive control system through the cascaded coordination of the above three modules; it utilizes module one to display the invisible internal state. Quantification; then, using Module 2 based on The dynamic characteristics enable intelligent switching from microwave to hot air; module three enables dynamic tracking of the hot air drying potential. The system reduces the natural decay of the material; it transforms the control from time-based open-loop control to closed-loop adaptive regulation based on the real-time state of the material, thus resolving the contradiction between drying efficiency and the quality of the seahorse.

[0051] Example 2:

[0052] The process of the real-time characterization module for internal water migration status calculating internal water migration flux includes:

[0053] Get the real-time total weight at the current moment;

[0054] Get the real-time total weight at the previous sampling time;

[0055] The internal moisture migration flux is calculated using the backward difference method based on the current real-time total weight, the previous real-time total weight, and the preset sampling time interval.

[0056] This embodiment describes the solution in the real-time characterization module for internal moisture migration. The process is specified; the solution process is based on the macroscopic mass balance equation of the drying process and the backward difference method is used to differentiate the real-time weight data;

[0057] Instantaneous external evaporation flux refers to... The instantaneous mass loss rate of material due to moisture evaporation serves as a core control variable and a real-time representation of internal moisture migration capacity. It is derived from real-time data calculated from the weighing sensor.

[0058] In this embodiment, the calculation process is as follows: obtain the real-time total weight at the current moment. , That is, the current real-time weight, which refers to... The total weight of the seahorse batch is collected at any given time by a high-precision weighing sensor, in kg; the real-time total weight at the previous sampling time is also obtained. , That is, the weight at the previous moment refers to the weight at the current moment. The weight collected at any time, in kg; and based on , and preset sampling time interval , The sampling time interval, also known as the period between data acquisition and control calculation, is measured in seconds (s). It is calculated using the backward difference method. The calculation formula is as follows:

[0059]

[0060] This embodiment provides a stable, efficient, and easily implemented calculation method by employing the backward difference method to process discretely acquired weight data. This was converted in real time into a continuous, controllable internal moisture migration flux. Signal.

[0061] Example 3:

[0062] Methods for determining the preset sampling time interval include:

[0063] The system is calibrated based on the accuracy of the weighing sensor and the expected drying rate of the seahorse to achieve a balance between signal smoothness and system response sensitivity.

[0064] This embodiment is based on the preset sampling time interval in Embodiment 2. The specific determination method; The sampling time interval is a key adjustable parameter, and its setting directly affects... Signal quality and the response characteristics of the control system;

[0065] In this embodiment, The determination method includes: calibration based on the accuracy of the weighing sensor and the expected drying rate of the seahorse;

[0066] The purpose of this calibration is to achieve a balance between signal smoothness and system response sensitivity; specifically, if Too short, such as less than 1 second. The difference will be very small, close to the sensor's measurement noise, causing the calculated... The signal contains a large amount of sensor noise, which is detrimental to stable control; if Too long, such as more than 60 seconds. The signal becomes smoother, but it reflects the average rate over a longer period, causing a lag in the control system's response and making it unable to track rapid changes in the material's state in a timely manner; through calibration, It is usually set within an optimization range, such as between 5 and 15 seconds;

[0067] The embodiment provided The calibration method ensures The signal quality enables it to effectively filter out high-frequency sensor noise while ensuring sufficient system response sensitivity, providing a core input signal with high signal-to-noise ratio and no significant hysteresis for subsequent peak identification and dynamic tracking.

[0068] Example 4:

[0069] The phase transition switching condition is:

[0070] The internal water migration flux is greater than the preset migration flux activation threshold, and the flux change rate is less than the preset peak detection sensitivity.

[0071] This embodiment describes the phase transition switching conditions in the microwave hot air phase transition switching control module. Specification;

[0072] The phase transition switching condition is a custom engineering rule designed to precisely capture... The moment the peak value is reached; this moment represents the point at which the moisture migration channels inside the hippocampus have been fully opened by the microwaves. Switching to hot air drying at this point yields the highest efficiency and effectively prevents surface hardening. In this embodiment, the phase change switching conditions... Constructed as:

[0073]

[0074] This condition is a logical AND operation, which applies if and only if both subconditions are true. If the condition is true, the system will switch; the first condition is: internal water migration flux. Greater than the preset migration throughput activation threshold ; The migration flux activation threshold is a preset lower limit value, measured in kg / s; this condition is used to prevent migration flux activation during the initial drying stage. At extremely low levels, signal noise fluctuations cause It prevents misjudgments caused by instantaneous negative values; it ensures that the system only detects peak values ​​when the drying process is already activated.

[0075] The second condition is: flux change rate. Sensitivity for peak values ​​less than preset ; That is, the flux change rate is The first derivative of , with dimensions of kg / s²; The peak value sensitivity is a preset, usually near-zero negative value, measured in kg / s²; its technical motivation lies in: At the peak point, its derivative is 0; after passing the peak point, its derivative becomes negative; therefore, this condition is used for stable detection. It has already surpassed its peak and begun a downward trend;

[0076] Phase transition switching conditions defined in this embodiment ,pass Noise suppression was achieved, and through It achieves sensitive capture of the downward trend after the peak; this switching criterion based on the real-time internal state of the material can automatically adapt to the drift problem of the optimal switching point caused by the heterogeneity of different batches of hippocampi, ensuring that the switching always occurs at the most efficient and safest time.

[0077] Example 5:

[0078] The migration flux activation threshold was calibrated using microwave drying experimental data of seahorses with different water contents and set as a safe percentage of the historical average peak value.

[0079] The peak detection sensitivity is calibrated based on the noise level of the internal moisture migration flux signal and is set to a negative value close to zero.

[0080] This embodiment describes the parameters. and The method for determining this needs to be specified;

[0081] The migration flux activation threshold, derived from experimental data of microwave drying of seahorses with different water contents, is designed to ensure that this threshold is high enough to mitigate noise during the initial drying stage, while also being low enough to avoid missing crucial fluxes. The rising activation phase; after calibration, It is usually set as the historical average peak. A safety percentage, such as To ensure its robustness;

[0082] That is, the peak value judgment sensitivity, which is derived from the internal water migration flux signal. The noise level was determined by calibration; the technical motivation was... The value must be small enough, i.e. negative enough, to ensure that the true downward trend after the peak can be detected stably, rather than... Normal noise jitter in the signal near its peak value; Set to a negative value close to zero, such as -0.001 kg / s², its absolute value is slightly greater than The noise amplitude of the signal derivative;

[0083] This embodiment is and A scientific calibration method based on experimental data and signal-noise levels is provided; this calibration method enables phase transition switching conditions. It exhibits high robustness and reliability, ensuring that the system can stably distinguish between signal noise and true peak dynamics, thereby achieving precise phase-change switching.

[0084] Example 6:

[0085] The process by which the hot air drying potential dynamic balance control module calculates the target external evaporation rate setpoint includes:

[0086] The internal water migration flux calculated by the real-time characterization module of the internal water migration status at the previous sampling time is obtained.

[0087] By combining the internal moisture migration flux at the previous sampling time with the preset dynamic attenuation coefficient, the target external evaporation rate setpoint is calculated.

[0088] This embodiment calculates the target external evaporation rate setpoint in the hot air drying potential dynamic balance control module. The concretization of the process;

[0089] The target external evaporation rate setpoint is the core of the custom control model for achieving internal-external dynamic balance in this invention; its technical motivation is that, to avoid surface hardening, the evaporation rate of the external hot air must always match or be slightly less than the migration rate of the internal moisture. ;because It decays naturally during the drying process, therefore the control target It must also be a dynamically decaying quantity;

[0090] calculate The process is as follows: Obtain the internal water migration flux calculated by the real-time characterization module of the internal water migration status at the previous sampling time. ; The source is the calculation result of module one stored in the system memory during the previous control cycle; combined with... With the preset dynamic attenuation coefficient Calculate the current Target external evaporation rate setpoint at time The calculation formula is as follows:

[0091]

[0092] The dynamic attenuation coefficient is a dimensionless key adjustable parameter, with a value ranging from 0 to 1.

[0093] This embodiment achieves the current target rate by... Become the measured rate of the previous cycle The function creates a controllable, dynamically decaying target that automatically follows the material's state; This will be used as the dynamic setpoint for subsequent PID controllers; this overturns the traditional practice of using temperature or humidity as a fixed setpoint, forcing the external evaporation rate... Dynamically tracking the natural decay of internal migration capabilities achieves... The control effect.

[0094] Example 7:

[0095] The preset dynamic attenuation coefficient is calibrated through process experiments, and its value ranges from 0 to 1;

[0096] The dynamic attenuation coefficient can also be set as a piecewise function of the internal water migration flux.

[0097] This embodiment uses the preset dynamic attenuation coefficient from Embodiment 6. The determination method and the specification of characteristics;

[0098] The dynamic attenuation coefficient is a key parameter for controlling the dynamic balance strategy. The source is obtained through process experiment calibration; to further clarify, this calibration process may include: running multiple batches of process experiments to obtain a set of process results representative of the target quality, such as minimum surface hardening rate or optimal drying uniformity. , and the methods used to achieve this result The values ​​are correlated, and regression analysis or lookup table construction is used to determine the values ​​under different operating conditions. The optimal value;

[0099] Its value ranges from 0 to 1; when When the value is close to 1, such as 0.99, the system attempts to maintain the rate of the previous cycle, employing the most aggressive drying strategy, suitable for the initial stage of drying when the internal moisture supply is sufficient; when... When the value is relatively small, such as 0.90, the system forced rate drops rapidly, the drying strategy becomes conservative, and it is suitable for the end of the drying process. At this time, the internal migration ability is weakened, and over-drying should be prevented.

[0100] To achieve optimal control throughout the drying process It can also be set to the internal water migration flux. Piecewise functions; for example, when When it is high, set a higher value. ;when After dropping to a certain threshold, it automatically switches to a lower one. ;

[0101] This embodiment is illustrated by... The calibration and flexible settings provide a high degree of tunability for the drying strategy; the operator can precisely control the drying based on the characteristics of the hippocampus and the drying stage. The decay rate is controlled to maximize the drying rate while strictly avoiding quality damage, thus achieving a fine balance between drying efficiency and quality.

[0102] Example 8:

[0103] The hot air drying potential dynamic balance control module is also used for:

[0104] Calculate the rate deviation between the target external evaporation rate setpoint and the process variable;

[0105] The process by which the hot air drying potential dynamic balance control module calculates the controller output signal includes:

[0106] Based on the rate deviation, a proportional calculation is performed using a preset proportional gain;

[0107] Based on the rate deviation, and using a preset integral gain, perform the integral calculation;

[0108] Based on the rate deviation, differential calculation is performed using a preset differential gain;

[0109] The results of proportional, integral, and differential operations are combined to generate the controller output signal.

[0110] This embodiment is a specific implementation of the closed-loop PID control algorithm in the hot air drying potential dynamic balance control module. This algorithm is used to calculate the controller output signal to achieve dynamic setpoint control. Precise tracking;

[0111] The module calculates the target external evaporation rate setpoint. With process variables Rate deviation between ;

[0112] That is, rate deviation refers to... At any given moment, the difference between the target speed and the actual speed serves as the input signal for the PID controller, with dimensions of _____. The calculation formula is as follows:

[0113]

[0114] in Set point for target external evaporation rate (dimensions) ), calculated by the method in Example 6; Real-time internal water migration flux (dimensions) (), obtained in real time from module one;

[0115] Module based on rate deviation The PID control algorithm is applied to calculate the controller output signal. ;

[0116] The controller output is a comprehensive adjustment command, defined in this embodiment as a standardized, dimensionless control quantity, such as a 0-100% power command. Its function is to adjust the physical parameters of the hot air system, such as the heater power. or dehumidifier power In this embodiment, to simplify the control model, the controller outputs a signal. Directly used as heater power The adjustment command (i.e.) (and dehumidifier power) Maintaining it at a preset constant value, thereby achieving single-variable control of the drying potential;

[0117] To ensure The calculations must maintain consistency in dimensions. The calculation formula for the PID control algorithm is defined as follows:

[0118]

[0119] This calculation process integrates proportional, integral, and differential operations; in order to make Becoming a dimensionless quantity, three gain parameters , , It must be defined as a coefficient with specific dimensions to cancel out the dimensions of its corresponding term:

[0120] Based on rate deviation (dimension ), and apply a preset proportional gain. Perform proportional calculations; The proportional gain, or proportional gain, determines the strength of the controller's response to the current deviation, and its dimensions are set as follows: ;

[0121] Based on rate deviation Historical accumulation (dimension ), and apply the preset integral gain. Perform integration; Integral gain, used to eliminate the steady-state error of the system, is quantified as follows: ;

[0122] Based on rate deviation rate of change (dimension ), and apply the preset differential gain. Perform differentiation operations; That is, the differential gain, used to predict changes in deviation, and its dimensions are set as follows: This dimensional definition ensures that the results of proportional, integral, and differential operations are all dimensionless, thus guaranteeing the controller's output signal. Dimensional consistency;

[0123] Combining the results of the above three calculations, a dimensionless controller output signal is generated. ;

[0124] , , The three gain parameters are the core adjustable parameters of the PID controller. They are obtained by using conventional controller tuning methods, such as the Ziegler-Nichols method, and are calibrated on-site on a hippocampus drying platform. The tuning goal is to make the gain parameters equal to the gain parameters. For dynamic The tracking response is characterized by fast speed and small overshoot.

[0125] This embodiment defines a complete, dimensionlessly consistent PID closed-loop control loop; it calculates the rate deviation in real time. The control command is calculated using the PID algorithm. The system possesses strong robustness and the ability to track dynamic setpoints; this ensures the actual evaporation rate. It can be precisely controlled within the dynamic target decay curve. This allows for dynamic and precise tracking of the internal migration capacity by the external evaporation rate.

[0126] Example 9:

[0127] The hot air drying potential dynamic balance control module is also used for:

[0128] When the process variable is less than the target external evaporation rate setpoint, increase the controller output signal to increase the hot air temperature or decrease the humidity;

[0129] When the process variable is greater than the target external evaporation rate setpoint, the controller output signal is reduced to lower the hot air temperature or increase the humidity.

[0130] This embodiment illustrates how the dynamic balance control module for hot air drying potential executes the PID controller output. The concretization describes how control signals are translated into actual regulatory actions on the physical environment;

[0131] The signal is used to adjust the drying potential of the hot air system. The adjustment logic is as follows: when the process variable... Less than the target external evaporation rate setpoint At this time, it means that the actual rate is slower than the target decay rate; at this time, the rate deviation is... It is a positive value; calculated by the PID controller. Increase; the system automatically increases the hot air temperature. Or reduce humidity To enhance the drying potential of the hot air, so that Speed ​​up, catch up ;

[0132] Accordingly, when process variables Greater than the target external evaporation rate setpoint At this point, it means the actual decay rate is faster than the target decay rate, which risks surface hardening; at this time, the rate deviation... It is a negative value; calculated by the PID controller. Reduce; the system automatically lowers the hot air temperature. Or increase humidity To reduce the drying potential of the hot air, The price fell back and was constrained. ;

[0133] This embodiment describes the final execution stage of closed-loop control; it calculates the abstract control signal from the PID controller. This translates into specific, targeted regulation of the dry environment; this positive and negative feedback regulation mechanism ensures Locked in Nearby, the external drying potential was matched with the internal moisture supply capacity in real time and dynamically, ultimately achieving the goal of efficient and high-quality drying.

[0134] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A smart temperature and humidity control system for a seahorse hot air series drying process, characterized in that, include: The real-time characterization module for internal moisture migration status is used to collect the real-time total weight of the seahorse batch through a weighing sensor and calculate the internal moisture migration flux based on the real-time total weight. The microwave hot air phase change switching control module is used to receive the internal moisture migration flux and calculate its flux change rate. Based on the internal moisture migration flux and flux change rate, the phase change switching conditions are constructed. When the phase change switching conditions are met, the microwave output is stopped and the hot air drying potential dynamic balance control module is started. The hot air drying potential dynamic balance control module is used to receive the internal moisture migration flux, calculate the dynamic target external evaporation rate setpoint based on the internal moisture migration flux, and track the target external evaporation rate setpoint with the internal moisture migration flux as the process variable, and calculate the controller output signal used to adjust the hot air parameters. The process of the real-time characterization module for internal water migration status calculating internal water migration flux includes: Get the real-time total weight at the current moment ; Get the real-time total weight at the previous sampling time. ; Based on the current real-time total weight, the previous real-time total weight, and the preset sampling time interval, the internal moisture migration flux is calculated using the backward difference method. Calculation using backward difference method The calculation formula is as follows: ； The phase transition switching condition is: The internal water migration flux is greater than the preset migration flux activation threshold, and the flux change rate is less than the preset peak detection sensitivity. Phase transition switching conditions Constructed as: ； This condition is a logical AND operation, which applies if and only if both subconditions are true. If the condition is true, the system will switch; the first condition is: internal water migration flux. Greater than the preset migration throughput activation threshold ; The migration flux activation threshold is a preset lower limit value, measured in kg / s; this condition is used to prevent migration flux activation during the initial drying stage. At extremely low levels, signal noise fluctuations cause It prevents misjudgments caused by instantaneous negative values; it ensures that the system only detects peak values ​​when the drying process is already activated. The second condition is: flux change rate. Sensitivity for peak values ​​less than preset ; That is, the flux change rate is The first derivative; That is, the peak detection sensitivity is a preset, negative value close to zero; The migration flux activation threshold was calibrated using microwave drying experimental data of seahorses with different water contents and set as a safe percentage of the historical average peak value. The peak detection sensitivity is calibrated based on the noise level of the internal moisture migration flux signal and is set to a negative value close to zero.

2. The intelligent temperature and humidity control system for a seahorse hot air series drying process according to claim 1, characterized in that, Methods for determining the preset sampling time interval include: The system is calibrated based on the accuracy of the weighing sensor and the expected drying rate of the seahorse to achieve a balance between signal smoothness and system response sensitivity.

3. The intelligent temperature and humidity control system for a seahorse hot air series drying process according to claim 1, characterized in that, The process by which the hot air drying potential dynamic balance control module calculates the target external evaporation rate setpoint includes: The internal water migration flux calculated by the real-time characterization module of the internal water migration status at the previous sampling time is obtained. By combining the internal moisture migration flux at the previous sampling time with the preset dynamic attenuation coefficient, the target external evaporation rate setpoint is calculated.

4. The intelligent temperature and humidity control system for a seahorse hot air series drying process according to claim 3, characterized in that, The preset dynamic attenuation coefficient is calibrated through process experiments, and its value ranges from 0 to 1; Alternatively, the dynamic attenuation coefficient is set as a piecewise function of the internal water migration flux.

5. The intelligent temperature and humidity control system for a seahorse hot air series drying process according to claim 1, characterized in that, The hot air drying potential dynamic balance control module is also used for: Calculate the rate deviation between the target external evaporation rate setpoint and the process variable.

6. The intelligent temperature and humidity control system for a seahorse hot air series drying process according to claim 5, characterized in that, The process by which the hot air drying potential dynamic balance control module calculates the controller output signal includes: Based on the rate deviation, a proportional calculation is performed using a preset proportional gain; Based on the rate deviation, and using a preset integral gain, perform the integral calculation; Based on the rate deviation, differential calculation is performed using a preset differential gain; The results of proportional, integral, and differential operations are combined to generate the controller output signal.

7. The intelligent temperature and humidity control system for a seahorse hot air series drying process according to claim 1, characterized in that, The hot air drying potential dynamic balance control module is also used for: When the process variable is less than the target external evaporation rate setpoint, increase the controller output signal to increase the hot air temperature or decrease the humidity; When the process variable is greater than the target external evaporation rate setpoint, the controller output signal is reduced to lower the hot air temperature or increase the humidity.

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