Ink-jet printer nozzle temperature control method and device and storage medium
By obtaining the temperature data and environmental data of the inkjet printer head in real time, setting the target temperature range dynamically, and using a collaborative control module and intelligent control algorithm for temperature adjustment, the problem of nozzle overheating in high-temperature environments is solved, the accuracy and stability of temperature control are improved, and the printing quality is significantly improved.
Patent Information
- Application Number
- CN202510353424.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-24
- Publication Date
- 2025-06-10
AI Technical Summary
The existing inkjet printer nozzle temperature control method can easily cause the nozzle to overheat in high temperature environments such as summer, and the heating system has a large thermal inertia, resulting in inaccurate temperature control and affecting printing quality and stability.
By obtaining the nozzle assembly temperature data, ambient temperature data and ink viscosity parameters in real time, setting the target temperature range dynamically, and using a dual-temperature zone collaborative control module for temperature adjustment. The dynamic PID algorithm is used to control the temperature increase, the predictive fuzzy control algorithm is used to control the cooling, and the thermal inertia difference between the heating module and the cooling water circuit is compensated and controlled through the temperature compensation algorithm.
It effectively solves the problem of overheating of the nozzle in a high temperature environment, improves the accuracy and stability of temperature control, avoids temperature overshoot and oscillation caused by high thermal inertia, and significantly improves the printing quality and printer stability.
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Figure CN120116614A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of inkjet printers, and more particularly, to a method, device, and storage medium for controlling the temperature of an inkjet printer head. Background Art
[0002] During the operation of an inkjet printer, the temperature of the print head has a crucial impact on print quality and stability. Most of the existing print head temperature control schemes use heating elements to adjust the temperature. However, this traditional heating control method has obvious defects: on the one hand, in environments with high ambient temperatures such as summer, the print head temperature may be too high, and simple heating control cannot meet the demand for reducing the print head temperature; on the other hand, the heating system has a large thermal inertia, resulting in overshoot and oscillation phenomena in temperature control, making it difficult to achieve precise temperature regulation, thereby affecting print quality and printer stability. Summary of the Invention
[0003] In order to overcome the problems of overheating in summer, large thermal inertia, and inaccurate temperature control in the traditional inkjet printer print head temperature control method, the present invention designs a method, device, and storage medium for controlling the temperature of an inkjet printer print head, which can effectively solve the above technical problems.
[0004] To solve the above technical problems, the technical solution of the present invention is as follows:
[0005] An inkjet printer print head temperature control method, comprising the following steps:
[0006] Obtain the temperature data of the print head assembly, ambient temperature data, and ink viscosity parameter in real time;
[0007] Dynamically set the target temperature range based on the ambient temperature data;
[0008] Adjust the temperature of the print head assembly through a dual-temperature zone collaborative control module, wherein:
[0009] When it is detected that the current temperature is lower than the lower limit of the target temperature range, start the heating module and use a dynamic PID algorithm for temperature increase control;
[0010] When it is detected that the current temperature is higher than the upper limit of the target temperature range, start the cooling water circuit circulation system and use a predictive fuzzy control algorithm for temperature decrease control;
[0011] Compensate and control the thermal inertia difference between the heating module and the cooling water circuit through a temperature compensation algorithm;
[0012] Obtain the real-time ink viscosity parameter, and adjust the target temperature range according to the preset correction relationship between the ink viscosity and the target temperature range, wherein the correction relationship is obtained through experimental calibration.
[0013] Preferably, the dynamic setting of the target temperature range based on the ambient temperature data is specifically as follows: obtaining the ambient temperature data, and determining the corresponding target temperature range according to the preset mapping relationship between the ambient temperature and the target temperature range, where the mapping relationship is obtained by experimental calibration.
[0014] Preferably, the dual-temperature zone collaborative control module performs the following steps:
[0015] Establish a physical property parameter library including the thermal conductivity of the nozzle material and the specific heat capacity of the ink;
[0016] Calculate the thermal response time difference between the heating module and the cooling water path through a thermodynamic simulation model;
[0017] Construct a feedforward compensation control parameter based on the thermal response time difference;
[0018] When the temperature change rate exceeds a preset threshold, start the dual-temperature zone synchronous adjustment mode, where the preset temperature threshold is the upper temperature limit required for the normal operation of the inkjet printer nozzle.
[0019] Preferably, the dynamic PID algorithm specifically includes:
[0020] Establish a PID parameter self-learning model based on historical temperature fluctuation data;
[0021] Dynamically adjust the proportional coefficient Kp based on the gradient change of the current temperature deviation;
[0022] Dynamically adjust the integral time Ti based on the temperature change acceleration;
[0023] Dynamically set the differential time Td through a second-order derivative prediction algorithm.
[0024] Preferably, the control of the cooling water path circulation system includes:
[0025] Adjust the cooling water flow rate and circulation path through a three-way proportional valve;
[0026] Use a thermocouple array to monitor the temperature difference between the inlet and outlet of the water path in real time;
[0027] Calculate the optimal circulation flow rate based on the temperature difference data and the target temperature deviation;
[0028] When a water path blockage is detected, automatically switch to the standby cooling circuit and trigger the self-cleaning program.
[0029] Preferably, the temperature compensation algorithm specifically includes:
[0030] Establish a temperature hysteresis compensation model when switching between the heating-cooling dual modes;
[0031] Fuse multi-sensor temperature data through the Kalman filter algorithm;
[0032] Dynamically correct compensation parameters based on the inkjet frequency;
[0033] When a sudden change in ambient temperature is detected, start the temperature shock protection control mode.
[0034] Preferably, it further includes a fault diagnosis module:
[0035] Real-time monitor the resistance change rate of the heating module and the pressure fluctuation of the cooling water circuit;
[0036] When an abnormal working state is detected, execute a hierarchical alarm strategy:
[0037] First-level alarm: Automatically switch to the standby temperature control module
[0038] Second-level alarm: Adjust the printing job parameters and mark the fault location
[0039] Third-level alarm: Force shutdown and generate a fault diagnosis report.
[0040] An electronic device includes a processor and a memory. The memory stores a program or instructions that can run on the processor. When the program or instructions are executed by the processor, the steps of the inkjet printer nozzle temperature control method as described above are implemented.
[0041] A readable storage medium stores a program or instructions. When the program or instructions are executed by a processor, the steps of the inkjet printer nozzle temperature control method as described above are implemented.
[0042] Compared with the prior art, the beneficial effects of the present invention are as follows: The inkjet printer nozzle temperature control method of the present invention solves the problem of overheating of the nozzle in high-temperature environments such as summer in traditional nozzle temperature control methods by obtaining the temperature data of the nozzle assembly, ambient temperature data, and ink viscosity parameters in real time, and dynamically setting the target temperature range based on the ambient temperature data. When it is detected that the current temperature is lower than the lower limit of the target temperature range, start the heating module and use the dynamic PID algorithm for temperature rise control; when it is detected that the current temperature is higher than the upper limit of the target temperature range, start the cooling water circuit circulation system and use the predictive fuzzy control algorithm for temperature drop control. Compensate and control the thermal inertia difference between the heating module and the cooling water circuit through the temperature compensation algorithm, and adjust the target temperature range according to the real-time ink viscosity parameters, further improving the accuracy and stability of temperature control, and avoiding temperature overshoot and oscillation phenomena caused by large thermal inertia, thereby significantly improving the printing quality and the stability of the printer. Description of the Drawings
[0043] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary. For those of ordinary skill in the art, without creative efforts, other implementation drawings can also be obtained based on the provided drawings.
[0044] Figure 1 Schematic diagram of the temperature control structure of the present invention;
[0045] Figure 2 Method step diagram of the present invention. Detailed implementation manners
[0046] The drawings are only for exemplary illustration and cannot be construed as a limitation to this patent;
[0047] To better illustrate this embodiment, some components in the drawings are omitted, enlarged or reduced, which do not represent the dimensions of the actual product;
[0048] For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.
[0049] The following will further illustrate the technical solutions of the present invention in conjunction with the drawings and embodiments.
[0050] Embodiment
[0051] A method for controlling the temperature of an inkjet printer nozzle, please refer to Figure 1-2 , including the following steps:
[0052] Real-time obtain the temperature data of the nozzle assembly, the ambient temperature data and the ink viscosity parameter;
[0053] Dynamically set the target temperature range based on the ambient temperature data;
[0054] Adjust the temperature of the nozzle assembly through a dual-temperature zone collaborative control module, where:
[0055] When it is detected that the current temperature is lower than the lower limit of the target temperature range, start the heating module and use the dynamic PID algorithm for temperature increase control;
[0056] When it is detected that the current temperature is higher than the upper limit of the target temperature range, start the cooling water circuit circulation system and use the predictive fuzzy control algorithm for temperature decrease control;
[0057] Compensate and control the thermal inertia difference between the heating module and the cooling water circuit through the temperature compensation algorithm;
[0058] Obtain real-time ink viscosity parameters, and adjust the target temperature range according to the preset correction relationship between ink viscosity and target temperature range, where the correction relationship is obtained through experimental calibration.
[0059] The dynamic setting of the target temperature range based on ambient temperature data is specifically as follows: Obtain ambient temperature data, and determine the corresponding target temperature range according to the preset mapping relationship between ambient temperature and target temperature range, where the mapping relationship is obtained through experimental calibration.
[0060] The dual-temperature zone collaborative control module executes the following steps:
[0061] Establish a physical property parameter library including the thermal conductivity of the nozzle material and the specific heat capacity of the ink;
[0062] Calculate the thermal response time difference between the heating module and the cooling water path through a thermodynamic simulation model;
[0063] Construct a feedforward compensation control parameter based on the thermal response time difference;
[0064] When the temperature change rate exceeds a preset threshold, start the dual-temperature zone synchronous adjustment mode, where the preset temperature threshold is the upper limit of the temperature required for the normal operation of the inkjet printer nozzle.
[0065] The dynamic PID algorithm specifically includes:
[0066] Establish a PID parameter self-learning model based on historical temperature fluctuation data;
[0067] Dynamically adjust the proportional coefficient Kp based on the gradient change of the current temperature deviation;
[0068] Dynamically adjust the integral time Ti based on the temperature change acceleration;
[0069] Dynamically set the differential time Td through a second-order derivative prediction algorithm.
[0070] The control of the cooling water path circulation system includes:
[0071] Adjust the cooling water flow rate and circulation path through a three-way proportional valve;
[0072] Use a thermocouple array to monitor the temperature difference between the inlet and outlet of the water path in real time;
[0073] Calculate the optimal circulation flow rate based on the temperature difference data and the target temperature deviation;
[0074] When a water path blockage is detected, automatically switch to the standby cooling circuit and trigger a self-cleaning program.
[0075] The temperature compensation algorithm specifically includes:
[0076] Establish a temperature hysteresis compensation model for heating-cooling dual-mode switching;
[0077] Fuse multi-sensor temperature data through the Kalman filtering algorithm;
[0078] Dynamically correct the compensation parameters based on the inkjet frequency;
[0079] When a sudden change in ambient temperature is detected, activate the temperature shock protection control mode.
[0080] It also includes a fault diagnosis module:
[0081] Real-time monitor the resistance change rate of the heating module and the pressure fluctuation of the cooling water circuit;
[0082] When an abnormal working state is detected, execute a hierarchical alarm strategy:
[0083] First-level alarm: Automatically switch to the standby temperature control module
[0084] Second-level alarm: Adjust the printing job parameters and mark the fault location
[0085] Third-level alarm: Force shutdown and generate a fault diagnosis report.
[0086] An electronic device includes a processor and a memory. The memory stores a program or instructions that can run on the processor. When the program or instructions are executed by the processor, the steps of the inkjet printer nozzle temperature control method as described above are implemented.
[0087] A readable storage medium stores a program or instructions. When the program or instructions are executed by a processor, the steps of the inkjet printer nozzle temperature control method as described above are implemented.
[0088] In a specific implementation, high-precision thermocouple sensors are arranged at key parts of the printhead assembly, such as the nozzle area, ink chamber, etc. The temperature measurement range is from 0°C to 100°C, and the accuracy can reach ±0.1°C. The temperature signal is obtained in real time at a frequency of 10Hz through a data acquisition card and transmitted to the control system.
[0089] Environmental temperature sensors are installed at multiple locations in the printer's surrounding environment, such as the paper feed inlet, paper outlet, inside the printer, etc., to ensure that the temperature conditions of the printer's working environment can be comprehensively reflected. The data is also transmitted to the control system at a frequency of 10Hz.
[0090] An on-line viscometer is used to monitor the ink viscosity in real time. The measurement range of the viscometer is from 1cP to 50cP, and the accuracy is ±0.01cP. It is installed on the pipeline of the ink supply system and integrated with the ink circulation system of the printer, and can obtain the viscosity parameters of the ink in the actual working state in real time and transmit the data to the control system in real time.
[0091] The control system receives real-time data from the ambient temperature sensor, performs preprocessing operations such as filtering and average value calculation on it to eliminate noise and interference in the data, and obtains a stable ambient temperature value. Through a large number of experimental calibration works, a mapping relationship between the ambient temperature and the target temperature range is established. The mapping relationship formula is:
[0092] T low = a·T env + b
[0093] T high = c·T env + b
[0094] Where, T low and T high are respectively the lower and upper limits of the target temperature range, T env is the ambient temperature, and a, b, c, d are coefficients obtained through experimental calibration. For example, when the ambient temperature is 20 °C, the target temperature range is set to 35 °C to 40 °C; when the ambient temperature rises to 30 °C, the target temperature range is adjusted to 40 °C to 45 °C. This mapping relationship is stored in the control system in the form of a look-up table or a mathematical model. The control system quickly looks up or calculates the corresponding target temperature range from the mapping relationship according to the current ambient temperature value, providing a basis for subsequent temperature regulation.
[0095] Physical property parameters such as the thermal conductivity (k) of the printhead material and the specific heat capacity (c) of the ink are collected. These parameters are obtained through methods such as referring to material manuals and experimental measurements, and are stored in the physical property parameter library in the control system, providing basic data for subsequent calculation of the thermal response time difference.
[0096] Using a thermodynamic simulation model and combining the data in the physical property parameter library, the thermal response processes of the heating module and the cooling water circuit under different working conditions are simulated. The thermal response time difference calculation formula is:
[0097]
[0098] Where, m is the mass, A is the heat transfer area, and the subscripts heating and cooling respectively represent the heating and cooling modules. By changing parameters such as the heating power and the cooling water flow rate, the response time difference required for the heating module and the cooling water circuit to reach the same temperature change is calculated.
[0099] Based on the calculated thermal response time difference, a feedforward compensation control parameter is constructed. The compensation parameter calculation formula is:
[0100]
[0101] Where, τ targetis the desired response time. For example, set the compensation coefficient to 0.5. When temperature adjustment is required, adjust the control actions of the heating module or the cooling water circuit in advance according to the time difference and the compensation coefficient to reduce the impact of the thermal inertia difference between the two on the temperature control accuracy.
[0102] Set the upper temperature limit required for the normal operation of the inkjet printer nozzle to 45 °C. When the temperature change rate of the nozzle assembly is monitored exceeds this threshold, it is judged that dual-temperature zone coordinated adjustment may be required. The temperature change rate calculation formula is:
[0103]
[0104] where T current and previous are the current and previous temperatures respectively, and Δt is the time interval. At this time, the control system starts the dual-temperature zone synchronous adjustment mode and finely regulates both the heating module and the cooling water circuit to ensure that the nozzle temperature quickly and stably returns to the target temperature range.
[0105] Collect historical temperature fluctuation data, including the nozzle temperature change curves under different ambient temperatures and different printing tasks. Using these data, train the PID parameter self-learning model through machine learning algorithms such as neural networks and genetic algorithms, so that the model can automatically adjust the PID parameters according to historical data to adapt to different working conditions.
[0106] Calculate the deviation (e) between the current temperature and the target temperature in real time, and calculate the gradient change rate of the deviation K P The dynamic adjustment formula is:
[0107]
[0108] where K P0 is the initial proportional coefficient, and α is the adjustment coefficient. For example, when the temperature deviation is large and the gradient change rate is high, increase the proportional coefficient K P to accelerate the temperature adjustment speed; when the temperature approaches the target temperature and the deviation change tends to be gentle, reduce K P to avoid temperature overshoot.
[0109] Dynamically adjust the integral time T according to the acceleration of temperature change i , T i The dynamic adjustment formula is:
[0110]
[0111] where T i0T is the initial integral time, β is the adjustment coefficient. A large temperature change acceleration means that the system may be subject to large disturbances. At this time, the integral time T is appropriately extended i , the intensity of the integral action is reduced to prevent integral saturation; when the temperature change is stable, T is shortened i , and the integral action is enhanced to eliminate the steady-state error.
[0112] Using the second derivative prediction algorithm, the change trend of the future temperature is predicted according to the second derivative value of the current temperature. The dynamic setting formula of Td is:
[0113]
[0114] where T d0 is the initial differential time, γ is the adjustment coefficient. If it is predicted that the change trend of the temperature is about to reverse or the change rate will decrease sharply, then the differential time T is increased d , and a strong differential control action is given in advance to suppress temperature fluctuations; conversely, T is reduced d to avoid instability caused by excessive differentiation.
[0115] A high-precision three-way proportional valve is selected and installed at the bifurcation of the cooling water circuit. Through the control signal output by the control system, such as the PWM signal, the flow rate and circulation path of the cooling water are precisely adjusted. For example, when it is necessary to increase the cooling intensity, the control system increases the opening of the three-way proportional valve to make more cooling water flow into the cooling branch close to the nozzle.
[0116] Thermocouple thermometers are installed at the inlet and outlet positions of the cooling water circuit respectively to form a thermocouple array to monitor the water temperature at the inlet and outlet in real time. These temperature data are transmitted to the control system at a frequency of 5Hz to provide a basis for the adjustment of the cooling water flow rate.
[0117] According to the temperature difference between the inlet and outlet (ΔT) and the target temperature deviation (ΔTtarget), the optimal circulation flow rate (Q opt ) is calculated using the pre-established heat balance model. The calculation formula is:
[0118]
[0119] where k is the proportionality constant. For example, when the temperature difference between the inlet and outlet is large and the nozzle temperature is much higher than the target temperature range, the circulation flow rate is increased to accelerate heat exchange; when the temperature difference is small and the temperature is close to the target range, the flow rate is reduced to save energy and reduce the interference of the water circuit system on the nozzle.
[0120] Regularly monitor the pressure change of the cooling water circuit. When it is detected that the pressure of a certain section of the water circuit suddenly rises and exceeds the set threshold, such as 0.5 MPa, it is judged that there may be a blockage. At this time, the control system automatically switches to the standby cooling circuit to ensure the continuous operation of the cooling function and triggers the self-cleaning program to remove the blockage by means of reverse flushing and increasing water flow pulses.
[0121] Analyze the temperature lag characteristics during the heating-cooling dual-mode switching through experiments and establish a corresponding compensation model. The formula of the compensation model is:
[0122] T comp = T measured + ΔT lag
[0123] Where, T comp is the compensated temperature, T measured is the actually measured temperature, and ΔT lag is the temperature compensation value calculated according to the lag characteristics. The model takes into account factors such as the thermal inertia and heat transfer path of the heating module and the cooling water circuit, and can predict and compensate for the upcoming temperature lag phenomenon according to the current temperature change trend and mode switching state.
[0124] Collect temperature data from multiple temperature sensors, such as thermocouples on the surface of the nozzle and thermometers in the ink chamber, and use the Kalman filtering algorithm to fuse and process these data. The state update equation of the Kalman filtering algorithm is:
[0125] X k = A·X K-1 + B·U k-1
[0126] The measurement update equation is: Z k = H·X k + V k
[0127] Where, X is the state vector, U is the control input, Z is the measured value, A, B, and H are system matrices, and V is the measurement noise. The Kalman filtering algorithm can effectively eliminate the noise interference in the sensor data and give the most accurate temperature estimation value of the nozzle assembly according to the positions and weights of each sensor, providing a reliable data basis for subsequent temperature compensation and control.
[0128] Obtain the ink jetting frequency (f) in real time, and dynamically correct the compensation parameters according to the experimentally calibrated relationship between the jetting frequency and the temperature compensation parameters. The correction formula is:
[0129] ΔT lag = ΔT lag0 ·(1 + δ·f)
[0130] Where, ΔTlag0 is the initial compensation value, and δ is the correction coefficient. When the inkjet frequency increases, the heat dissipation situation of the print head will change. At this time, the compensation parameters are adjusted appropriately to ensure the accuracy and timeliness of temperature compensation.
[0131] When the ambient temperature changes suddenly, such as changing by more than 10°C within a short period of time, the control system quickly activates the temperature shock protection control mode. In this mode, the printing speed (vprint) of the print head is temporarily reduced, the frequency of temperature monitoring is increased, and the control efforts of the heating module and the cooling water circuit are increased to quickly stabilize the temperature of the print head. The printing speed adjustment formula is:
[0132]
[0133] where, v print_new is the adjusted printing speed, v print_original is the original printing speed, η is the adjustment coefficient, is the ambient temperature change rate, to prevent the printing quality from deteriorating or the equipment from being damaged due to rapid temperature changes.
[0134] The resistance value (R) of the heating module is collected in real time, and its resistance change rate (dR / dt) is calculated. For example, by connecting a high-precision resistance measuring instrument in series in the power supply circuit of the heating module, resistance data is obtained at a frequency of 100Hz, and then the resistance change rate between adjacent time points is calculated. At the same time, the pressure fluctuation situation (P) of the cooling water circuit is monitored, and pressure data is obtained through a pressure sensor installed in the water circuit system to analyze the fluctuation amplitude and frequency of the pressure.
[0135] The normal range of the resistance change rate of the heating module is set to ±0.01Ω / s, and the normal range of the pressure fluctuation of the cooling water circuit is ±0.1MPa. When it is monitored that the resistance change rate exceeds this range, it is judged that the heating module may have a fault, such as a broken heating wire or poor contact, etc., and a first-level alarm strategy is executed, automatically switching to the standby temperature control module to ensure that the temperature control of the print head is not affected. If the pressure fluctuation exceeds the normal range and the duration exceeds a certain threshold, such as 10 seconds, it is judged that the cooling water circuit may have a fault, such as a water pump fault or a pipeline leak, etc., and a second-level alarm strategy is executed, adjusting the printing operation parameters, such as reducing the printing speed, pausing the current printing task, etc. and marking the fault location to facilitate the maintenance personnel to quickly locate the problem. In extreme cases, such as serious faults occurring simultaneously in the heating module and the cooling water circuit, a third-level alarm strategy is executed, forcibly shutting down the machine and generating a detailed fault diagnosis report, which includes information such as the fault occurrence time, fault type, and possible reasons to ensure the safety of the printer and the operator.
[0136] Integrate the above-mentioned modules into the control system of the inkjet printer according to the functional requirements, and conduct overall debugging and testing. During the testing process, simulate different environmental temperature conditions, such as 10°C, 20°C, 30°C, 40°C, etc., printing tasks, such as high-density image printing, text printing, continuous printing, etc., and possible fault situations, verify the performance and reliability of the temperature control system, observe the improvement effects of the method of the present invention in terms of nozzle temperature stability, printing quality, fault response ability, etc. by comparing with the traditional nozzle temperature control method, and further optimize the parameters and control logic of each module to ensure that the system can meet the actual application requirements.
[0137] The same or similar reference numerals correspond to the same or similar components;
[0138] The terms used to describe the positional relationship in the drawings are only for illustrative purposes and should not be construed as a limitation of this patent;
[0139] Obviously, the above-mentioned embodiments of the present invention are only examples for clearly explaining the present invention, and are not limitations on the implementation manners of the present invention. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation manners here. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims
1. A method for controlling the temperature of an inkjet printer nozzle, characterized in that: The following steps are involved: Real-time acquisition of nozzle component temperature data, ambient temperature data and ink viscosity parameters; Dynamically setting a target temperature range based on the ambient temperature data; The temperature of the nozzle assembly is adjusted through the dual temperature zone collaborative control module, where: When it is detected that the current temperature is lower than the lower limit of the target temperature range, the heating module is started and the dynamic PID algorithm is used for temperature control; When it is detected that the current temperature is higher than the upper limit of the target temperature range, the cooling water circulation system is started and the predictive fuzzy control algorithm is used for temperature reduction control; The thermal inertia difference between the heating module and the cooling water circuit is compensated and controlled through the temperature compensation algorithm; The real-time ink viscosity parameter is obtained, and the target temperature range is adjusted according to a preset correction relationship between the ink viscosity and the target temperature range, wherein the correction relationship is obtained through experimental calibration.
2. The method for controlling the temperature of an inkjet printer nozzle according to claim 1, characterized in that: The dynamically setting the target temperature range based on the ambient temperature data specifically includes: acquiring the ambient temperature data, and determining the corresponding target temperature range according to a mapping relationship between the preset ambient temperature and the target temperature range, wherein the mapping relationship is obtained by experimental calibration.
3. The method for controlling the temperature of an inkjet printer nozzle according to claim 2, characterized in that: The dual temperature zone collaborative control module performs the following steps: Establish a physical property parameter library including the thermal conductivity of the nozzle material and the specific heat capacity of the ink; The thermal response time difference between the heating module and the cooling water circuit is calculated through a thermodynamic simulation model; constructing a feedforward compensation control parameter based on the thermal response time difference; When the temperature change rate exceeds a preset threshold, the dual-temperature zone synchronous adjustment mode is started, wherein the preset temperature threshold is the upper temperature limit required for the normal operation of the inkjet printer nozzle.
4. The method for controlling the temperature of an inkjet printer nozzle according to claim 3, characterized in that: The dynamic PID algorithm specifically includes: Establish a PID parameter self-learning model based on historical temperature fluctuation data; Dynamically adjust the proportional coefficient Kp based on the gradient change of the current temperature deviation; Dynamically adjust the integration time Ti based on the acceleration of temperature change; The derivative time Td is dynamically set by a second-order derivative prediction algorithm.
5. The method for controlling the temperature of an inkjet printer nozzle according to claim 4, characterized in that: The cooling water circulation system control includes: The cooling water flow and circulation path are adjusted by a three-way proportional valve; Use thermocouple array to monitor the temperature difference between the inlet and outlet of the waterway in real time; Calculate the optimal circulation flow rate based on the temperature difference data and the target temperature deviation; When water circuit blockage is detected, the backup cooling circuit is automatically switched and the self-cleaning program is triggered.
6. The method for controlling the temperature of an inkjet printer nozzle according to claim 5, characterized in that: The temperature compensation algorithm specifically includes: Establish a temperature hysteresis compensation model when switching between heating and cooling modes; Fusion of multi-sensor temperature data through Kalman filter algorithm; Dynamically correct compensation parameters based on ink jetting frequency; When a sudden change in ambient temperature is detected, the temperature shock protection control mode is activated.
7. The method for controlling the temperature of an inkjet printer nozzle according to claim 1, characterized in that: Also includes fault diagnosis module: Real-time monitoring of the resistance change rate of the heating module and the pressure fluctuation of the cooling water circuit; When an abnormal working state is detected, a hierarchical alarm strategy is implemented: Level 1 alarm: Automatically switch to standby temperature control module Secondary alarm: adjust print job parameters and mark fault location Level 3 alarm: forced shutdown and generation of fault diagnosis report.
8. An electronic device, characterized in that: It comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the inkjet printer nozzle temperature control method as described in any one of claims 1 to 7 are implemented.
9. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the inkjet printer nozzle temperature control method as described in any one of claims 1 to 7 are implemented.
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