Monitoring diagnosis and intelligent voltage regulation system and method for multi-gray-scale printing ink supply system

Abstract

The invention relates to a multi-gray-scale printing ink supply system monitoring diagnosis and intelligent pressure regulation strategy, and aims to provide a multi-gray-scale printing ink supply system monitoring diagnosis and intelligent pressure regulation strategy through an intelligent dynamic pressure regulation algorithm, a self-adaptive pressure balance mechanism, multi-parameter fusion control, modular design, an intelligent fault diagnosis and self-repairing function and gray-scale printing application. Intelligent pressure regulation of a multi-nozzle ink supply system in the gray-scale printing process is achieved, the printing quality and efficiency are improved, gray-scale printing is mainly conducted on a sand mold, the ink jet amount of the outer contour of the sand mold is large, and the strength of the sand mold is improved; the inner contour ink-jet amount is small, and the sand mold air permeability is reduced.

Description

Technical Field

[0001] The present invention relates to the field of multi-grayscale printing, and in particular to a monitoring, diagnosis and intelligent pressure regulation system and method for a multi-grayscale printing ink supply system. Background Art

[0002] In the process of sand mold grayscale printing, different areas have different inkjet volume requirements, requiring the ink supply system to accurately control the inkjet volume and ink supply pressure of each nozzle. Traditional ink supply systems often use fixed pressure ink supply, which cannot be dynamically adjusted according to the working status of the nozzle and printing requirements, resulting in unstable printing quality and low efficiency.

[0003] The existing multi-nozzle ink supply system often has problems such as unstable ink supply pressure and large differences in the working conditions of the nozzles during the printing process, resulting in unstable printing quality. This problem is particularly prominent when dealing with situations where the inkjet volume of the outer and inner contours of the sand mold differs greatly. Summary of the invention

[0004] The present invention aims to solve the above problems and provide a monitoring diagnosis and intelligent pressure regulation strategy for a multi-grayscale printing ink supply system. Through intelligent dynamic pressure regulation algorithm, adaptive pressure balance mechanism, multi-parameter fusion control, modular design, intelligent fault diagnosis and self-repair function and grayscale printing application, intelligent pressure regulation of the ink supply system is realized to improve printing quality and efficiency.

[0005] To achieve the above-mentioned purpose, a multi-grayscale printing ink supply system monitoring, diagnosis and intelligent pressure regulation system includes: an intelligent dynamic pressure regulation algorithm module, an adaptive pressure balance mechanism module, a multi-parameter fusion control module, a modular design module (4), an intelligent fault diagnosis and self-repair module and a grayscale printing application.

[0006] As a further design of this solution, the intelligent dynamic pressure adjustment algorithm module can analyze the parameters and performance changes of the nozzle in real time according to the working status of the nozzle (such as inkjet frequency, inkjet volume, working time, etc.), and adjust the ink supply pressure adaptively. The algorithm maintains the best printing effect and improves the printing quality and stability by accurately controlling the ink supply pressure.

[0007] As a further design of this solution, the adaptive pressure balance mechanism module is capable of automatically allocating and adjusting the ink supply pressure of each nozzle, ensuring that each nozzle can obtain a stable and appropriate working pressure, thereby improving the overall printing effect by avoiding printing quality problems caused by uneven pressure.

[0008] As a further design of this solution, the multi-parameter fusion control module combines the temperature, viscosity, fluidity and other parameters of the nozzle to construct a multi-parameter fusion control model. This model can comprehensively consider multiple factors affecting the inkjet quality, accurately calculate the pressure adjustment value, and improve the accuracy and stability of the pressure adjustment control.

[0009] As a further design of this solution, the modular design module is easy to expand and maintain. Each module can independently control a group of nozzles, and the modules can communicate and cooperate with each other to adapt to ink supply systems of different sizes and configurations. This design improves the flexibility and maintainability of the system.

[0010] As a further design of this solution, the intelligent fault diagnosis and self-repair module integrates intelligent fault diagnosis function in the device, which can automatically detect problems in the ink supply system. Through the self-repair mechanism, it can repair or give maintenance suggestions, reduce the need for manual intervention, reduce maintenance costs, and improve the overall operation efficiency of the system.

[0011] As a further design of this solution, the grayscale printing application achieves precise adjustment of the strength and air permeability of the sand mold by differentially controlling the inkjet amount of the outer contour and the inner contour. This not only improves the accuracy and effect of grayscale printing, but also makes the printed sand mold more in line with the design requirements, improving the overall quality of the product.

[0012] The present invention also provides an intelligent pressure regulation method for a multi-nozzle ink supply system for grayscale printing, the method comprising the following steps:

[0013] Step 1: Establish an intelligent dynamic pressure regulation algorithm and an adaptive pressure balance mechanism. Use sensors and other devices to capture the core data of the nozzle in real time, such as the inkjet frequency, inkjet volume, and working time. Use advanced algorithms to analyze these data and accurately identify the working status of each nozzle. The algorithm will intelligently adjust the ink supply pressure based on the analysis results to ensure that the nozzle can maintain excellent printing effects in various working environments. When multiple nozzles are working at the same time, the adaptive pressure balance mechanism will intelligently allocate and adjust the ink supply pressure according to the actual needs of each nozzle to ensure that each nozzle obtains a stable and appropriate working pressure.

[0014] Step 2: Implement multi-parameter fusion control strategy. Comprehensively collect key parameters such as temperature, viscosity, and fluidity of the nozzle to build a multi-parameter fusion control model. This model will comprehensively consider multiple factors that affect inkjet quality, accurately calculate the pressure adjustment value, and thus optimize the printing effect.

[0015] Step 3: Adopt modular design concept. According to system requirements, clearly divide modules, such as nozzle control module, pressure regulation module, etc. Carefully design functions and interfaces for each module to ensure seamless collaboration between modules. According to strict design documents and interface specifications, realize the functions of each module, and organically combine them to finally build an efficient multi-nozzle ink supply system intelligent pressure regulating device.

[0016] Step 4: Introduce intelligent fault diagnosis and self-repair mechanism. The operating data of the ink supply system is collected in real time through sensors, and the data is cleaned, converted and standardized for subsequent in-depth analysis. Advanced algorithms such as machine learning are used to analyze the pre-processed data, accurately detect potential faults, and determine the type and location of the fault. Once a fault is diagnosed, the device will automatically start the repair mechanism to repair it or provide maintenance suggestions.

[0017] Step 5: Implement grayscale printing application. According to the printing requirements of the sand mold, accurately set the inkjet volume parameters of the outer contour and inner contour. Start the multi-nozzle ink supply system and perform grayscale printing according to the preset parameters. During the printing process, monitor the status of the nozzle and the operation of the ink supply system in real time, and make real-time dynamic adjustments as needed to ensure the best printing effect.

[0018] Beneficial effects of the present invention:

[0019] 1. Significantly improve printing quality and stability

[0020] Through the combined application of intelligent dynamic pressure regulation algorithm and adaptive pressure balance mechanism, the present invention can adjust the ink supply pressure of the multi-nozzle ink supply system in real time and accurately, ensuring that each nozzle can obtain stable and appropriate ink supply pressure when working. This greatly improves the accuracy and consistency of printing and avoids printing quality problems caused by unstable ink supply pressure. At the same time, the comprehensive application of multi-parameter fusion control model further improves the accuracy and stability of pressure regulation control, thereby ensuring the continuous stability of printing quality.

[0021] 2. Optimize grayscale printing effect

[0022] In view of the special needs of grayscale printing, the present invention proposes a specific pressure adjustment strategy. By differentially controlling the inkjet volume of the outer contour and the inner contour, the sand mold strength and air permeability are precisely adjusted. This not only improves the accuracy and effect of grayscale printing, but also makes the printed sand mold more in line with the design requirements, improving the overall quality of the product.

[0023] 3. Improve production efficiency and reduce maintenance costs

[0024] Through modular design, the intelligent pressure regulating device of the present invention is easy to expand and maintain. This enables the device to adapt to ink supply systems of different sizes and configurations, improving production flexibility and efficiency. At the same time, the integration of intelligent fault diagnosis and self-repair functions can automatically detect and repair problems in the ink supply system, reducing the need for manual intervention and reducing maintenance costs.

[0025] 4. Promote the innovation and development of printing technology

[0026] The intelligent pressure regulation method and device of the present invention not only solves the problems of unstable ink supply pressure and low regulation accuracy in the traditional ink supply system, but also provides new ideas and methods for the innovation and development of printing technology. Its successful application will promote the development of printing technology towards higher precision and higher efficiency, and provide strong support for the technological progress and industrial upgrading of related industries. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 The figure is a flow chart of the intelligent dynamic voltage regulation algorithm described in an embodiment of the present invention.

[0028] Figure 2 The figure is a flow chart of the adaptive pressure balancing mechanism described in an embodiment of the present invention.

[0029] Figure 3 The figure is a schematic diagram of the intelligent fault diagnosis and self-repair process described in an embodiment of the present invention.

[0030] Figure 4 This is a schematic diagram of an intelligent pressure regulating device for a multi-nozzle ink supply system for grayscale printing according to an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The present invention is further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not used to limit the scope of the present invention. It should be noted that the words "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to directions in the accompanying drawings, and the words "inner" and "outer" refer to directions toward or away from the geometric center of a specific component, respectively.

[0032] like Figure 1-4 As shown, this embodiment provides an intelligent pressure regulation system for a multi-nozzle ink supply system for grayscale printing, which mainly includes: an intelligent dynamic pressure regulation algorithm module, an adaptive pressure balance mechanism module, a multi-parameter fusion control module, a modular design module, an intelligent fault diagnosis and self-repair module and a grayscale printing application.

[0033] Intelligent dynamic pressure regulation algorithm module The control module has a built-in intelligent dynamic pressure regulation algorithm, which calculates and adjusts the ink supply pressure in real time based on the data provided by the sensor module. The specific implementation is as follows:

[0034] 1. Data collection: The sensor module collects the working status data of the printhead in real time, including inkjet frequency, inkjet volume, working time, temperature, viscosity, etc.

[0035] 2. Data processing: After receiving the sensor data, the control module performs preprocessing and normalization to eliminate noise and outliers and improve the accuracy and reliability of the data.

[0036] 3. Algorithm calculation: Based on the pre-processed data, the control module runs an intelligent dynamic pressure regulation algorithm. The algorithm calculates the appropriate ink supply pressure value based on the preset pressure regulation rules and models combined with the multi-parameter fusion control model.

[0037] Specifically: according to the working principle and performance requirements of the printhead, a set of preset pressure regulation rules and models are established. For example, it can be set that when the inkjet frequency is high, the ink supply pressure needs to be appropriately increased to ensure the ink supply speed; when the temperature is high, the viscosity of the ink may decrease, at this time, the ink supply pressure can be appropriately reduced to prevent excessive inkjet. The multi-parameter fusion control model can adopt a neural network model, a fuzzy logic model or a linear regression model. For example, when using a neural network model, the parameters such as inkjet frequency, inkjet volume, working time, temperature, viscosity, etc. can be used as the input layer, and the ink supply pressure can be used as the output layer. The mapping relationship between the input parameters and the output parameters is established by training the neural network.

[0038] The pre-processed and normalized parameters are input into the multi-parameter fusion control model, and the appropriate ink supply pressure value is calculated according to the preset pressure regulation rules and models. For example, when a linear regression model is used, the ink supply pressure value P can be calculated using the following formula:

[0039] P=a0+a1F+a2Q+a3T+a4V+a5D

[0040] Wherein, F represents the inkjet frequency, Q represents the inkjet volume, T represents the temperature, V represents the viscosity, D represents the working time, and a0, a1, a2, a3, a4, and a5 are regression coefficients obtained by fitting the experimental data.

[0041] 4. Control instructions are issued: According to the algorithm calculation results, the control module sends control instructions to the execution module to adjust the ink supply pressure of the ink supply module.

[0042] Adaptive pressure balance mechanism module In order to ensure that multiple nozzles can obtain stable and appropriate ink supply pressure when working simultaneously, this implementation adopts an adaptive pressure balance mechanism. The specific implementation is as follows:

[0043] 1. Pressure monitoring: The sensor module monitors the ink supply pressure of each nozzle in real time and feeds the data back to the control module.

[0044] 2. Pressure analysis: The control module analyzes the pressure differences and change trends between the nozzles based on the received pressure data.

[0045] 3. Pressure adjustment: Based on the analysis results, the control module dynamically adjusts the ink supply pressure of the ink supply module through the execution module to ensure that each nozzle can obtain a stable and appropriate ink supply pressure.

[0046] As the core part of the present invention, the multi-parameter fusion control module is mainly responsible for collecting and processing the working state parameters of the nozzle, and making intelligent decisions based on these parameters to achieve precise control of the ink supply pressure. The module consists of a parameter acquisition unit, a data processing unit, a decision control unit and a communication interface. Parameter acquisition unit: responsible for real-time acquisition of the working state parameters of the nozzle, including but not limited to temperature, viscosity, flow, pressure, etc. These parameters are monitored in real time through the sensor module to ensure the accuracy and real-time nature of the data; data processing unit: pre-processing, filtering and normalization of the collected raw data to eliminate noise and abnormal values ​​and improve data quality. At the same time, the unit is also responsible for converting the processed data into a format suitable for use by the decision control unit; decision control unit: based on the processed data, combined with the preset control algorithm and rules, intelligent decision-making is made. Through multi-parameter fusion technology, the unit comprehensively considers the influence of each parameter on the ink supply pressure and calculates the optimal ink supply pressure value; communication interface: responsible for communicating with the control module and other related modules, receiving control instructions, and sending decision results and execution status. Multi-parameter fusion technology is the core of this module, through which the comprehensive consideration and comprehensive utilization of the working state parameters of the nozzle can be achieved. The specific implementation is as follows:

[0047] 1. Parameter weight allocation: According to empirical knowledge and actual needs, assign corresponding weights to each parameter. These weights reflect the importance of each parameter in the decision-making process. For example, by analyzing a large amount of historical printing data, the influence of different parameters on print quality and ink supply pressure adjustment can be determined, so as to assign a weight value between 0 and 1 to each parameter. Assume that the weight assigned to inkjet frequency is w1, the weight of inkjet volume is w2, the weight of working time is w3, the weight of temperature is w4, and the weight of viscosity is w5;

[0048] 2. Data fusion processing: Perform weighted summation or weighted average operations on the processed data according to the weights to obtain a fusion value that comprehensively reflects the working status of the printhead. Assuming that the value of inkjet frequency is f, the value of inkjet volume is q, the value of working time is t, the value of temperature is temp, and the value of viscosity is vis, then the fusion value F s um can be calculated by the following formula:

[0049] F sum=w1*f+w2*q+w3*t+w4*temp+w5*vis;

[0050] 3. Decision rule formulation: Based on the fusion value and the preset decision rules, formulate the corresponding control strategy. These rules can be adjusted and optimized according to the actual situation to meet different printing needs.

[0051] Modular design module This implementation adopts modular design, which makes the device easy to expand and maintain. Users can increase or decrease the number and type of ink supply modules according to actual needs to meet the needs of ink supply systems of different scales and configurations. At the same time, standardized interfaces and communication protocols are used between modules to facilitate connection and communication between modules. The specific implementation is as follows:

[0052] 1. Determine the modules: According to the system requirements, determine the modules that need to be divided, such as nozzle control module, pressure regulation module, etc.

[0053] 2. Design module functions: Design specific functions and interfaces for each module to ensure collaborative work between modules.

[0054] 3. Develop modules: Implement the functions of each module according to the design documents and interface specifications.

[0055] 4. Combined modules: Combine the developed modules to realize the final intelligent pressure regulating device of multi-nozzle ink supply system.

[0056] Intelligent fault diagnosis and self-repair In order to improve the stability and reliability of the system, this implementation plan integrates intelligent fault diagnosis and self-repair functions. The specific implementation is as follows:

[0057] 1. Fault detection: The sensor module monitors the operating status of the system in real time. Once an abnormality or fault is detected, an alarm signal is immediately sent to the control module.

[0058] 2. Fault diagnosis: The control module performs fault diagnosis and analysis based on the received alarm signals and sensor data to determine the type and cause of the fault.

[0059] 3. Self-repair: For some repairable faults, the control module attempts to self-repair by adjusting the ink supply pressure, replacing the nozzle, etc. If the self-repair fails, the system will issue an alarm to prompt the user to intervene manually. For example:

[0060] (1) Ink supply pressure is unstable:

[0061] Cause: The possible cause is that the pressure regulating valve is slightly blocked or worn, causing the ink supply pressure to fluctuate. The system can stabilize the ink supply pressure by fine-tuning the opening of the pressure regulating valve or recalibrating the pressure sensor.

[0062] Solution: If the unstable pressure is caused by bubbles in the ink supply pipeline, you can start the automatic exhaust program to remove the bubbles in the pipeline.

[0063] (2) Ink supply pressure is too low:

[0064] Cause: It may be due to insufficient ink in the ink cartridge, a clogged ink supply pipe, or an improper setting of the pressure regulating valve. The system can first check the ink level in the ink cartridge and remind the user to add ink if it is insufficient.

[0065] Solution: If the ink supply pipe is clogged, you can try to clear the blockage by backwashing the pipe. If the blockage is serious, the system can issue an alarm to prompt the user to clean it manually. If the pressure regulating valve is not set properly, the system can automatically adjust the opening of the pressure regulating valve to increase the ink supply pressure.

[0066] (3) Ink supply pressure is too high:

[0067] Cause: It may be a pressure regulating valve failure or sensor error. The system can first check the working status of the pressure regulating valve. If a fault is found, try to recalibrate or replace the pressure regulating valve.

[0068] Solution: If it is a sensor error, the system can recalibrate the pressure sensor to ensure the accuracy of the ink supply pressure.

[0069] (4) Uneven ink jetting from the nozzle:

[0070] Cause: Some nozzles of the printhead may be clogged or the ink supply pressure may be uneven. The system can first check the nozzle status of the printhead. If some nozzles are found to be clogged, you can try to restore normal inkjet by automatically cleaning or activating the nozzles.

[0071] Solution: For the case of uneven ink supply pressure, the system can adjust the ink supply pressure to keep it consistent at each nozzle.

[0072] (5) Abnormal temperature:

[0073] Cause: If the system detects that the temperature is too high or too low, it may affect the performance of the ink and the print quality. In the case of high temperature, the system can start the heat dissipation device, such as the fan or cooling system, to reduce the temperature.

[0074] Solution: If the temperature is too low, the system can start a heating device, such as a heater or insulation system, to increase the temperature.

[0075] (6) Abnormal viscosity:

[0076] Cause: If the viscosity of the ink is outside the normal range, it may cause ink jetting problems or reduced print quality.

[0077] Solution: The system can adjust the viscosity of the ink by adjusting the temperature of the ink or adding diluent. The grayscale printing application achieves precise adjustment of the strength and permeability of the sand mold by differentially controlling the inkjet volume of the outer contour and the inner contour. The specific implementation is as follows:

[0078] 1. Set printing parameters: according to the printing requirements of the sand mold, set the inkjet volume parameters of the outer contour and inner contour.

[0079] 2. Start printing: Start the multi-nozzle ink supply system and perform grayscale printing according to the set parameters.

[0080] 3. Real-time monitoring and adjustment: During the printing process, the status of the printhead and the operation of the ink supply system are monitored in real time, and dynamic adjustments are made as needed.

[0081] In this embodiment, the present invention further provides an intelligent pressure regulation method for a multi-nozzle ink supply system for grayscale printing, the method comprising the following steps:

[0082] Step 1: Establish an intelligent dynamic pressure regulation algorithm and an adaptive pressure balance mechanism. Use sensors and other devices to capture the core data of the nozzle in real time, such as the inkjet frequency, inkjet volume, and working time. Use advanced algorithms to analyze these data and accurately identify the working status of each nozzle. The algorithm will intelligently adjust the ink supply pressure based on the analysis results to ensure that the nozzle can maintain excellent printing effects in various working environments. When multiple nozzles are working at the same time, the adaptive pressure balance mechanism will intelligently allocate and adjust the ink supply pressure according to the actual needs of each nozzle to ensure that each nozzle obtains a stable and appropriate working pressure.

[0083] Step 2: Implement multi-parameter fusion control strategy. Comprehensively collect key parameters such as temperature, viscosity, and fluidity of the nozzle to build a multi-parameter fusion control model. This model will comprehensively consider multiple factors that affect inkjet quality, accurately calculate the pressure adjustment value, and thus optimize the printing effect.

[0084] Step 3: Adopt modular design concept. According to system requirements, clearly divide modules, such as nozzle control module, pressure regulation module, etc. Carefully design functions and interfaces for each module to ensure seamless collaboration between modules. According to strict design documents and interface specifications, realize the functions of each module, and organically combine them to finally build an efficient multi-nozzle ink supply system intelligent pressure regulating device.

[0085] Step 4: Introduce intelligent fault diagnosis and self-repair mechanism. The operating data of the ink supply system is collected in real time through sensors, and the data is cleaned, converted and standardized for subsequent in-depth analysis. Advanced algorithms such as machine learning are used to analyze the pre-processed data, accurately detect potential faults, and determine the type and location of the fault. Once a fault is diagnosed, the device will automatically start the repair mechanism to repair it or provide maintenance suggestions.

[0086] Step 5: Implement grayscale printing application. According to the printing requirements of the sand mold, accurately set the inkjet volume parameters of the outer contour and inner contour. Start the multi-nozzle ink supply system and perform grayscale printing according to the preset parameters. During the printing process, monitor the status of the nozzle and the operation of the ink supply system in real time, and make real-time dynamic adjustments as needed to ensure the best printing effect.

[0087] The technical means disclosed in the scheme of the present invention are not limited to the technical means disclosed in the above-mentioned implementation mode, but also include technical schemes composed of any combination of the above technical features.

Claims

1. Multi-grayscale printing ink supply system monitoring diagnosis and intelligent pressure regulation system, characterized by: It includes intelligent dynamic pressure regulation algorithm module, adaptive pressure balance mechanism module, multi-parameter fusion control module, modular design module, intelligent fault diagnosis and self-repair module and grayscale printing application; The intelligent dynamic pressure regulation algorithm module has a built-in intelligent dynamic pressure regulation algorithm, which is based on the data provided by the sensor module and calculates and adjusts the ink supply pressure in real time; The adaptive pressure balance mechanism module is used to ensure that a stable and appropriate ink supply pressure can be obtained when multiple nozzles work simultaneously; the multi-parameter fusion control module is responsible for collecting and processing the working state parameters of the nozzles, and making intelligent decisions based on these parameters to achieve precise control of the ink supply pressure; The modular design module adopts modular design, and users can increase or decrease the number and type of ink supply modules according to actual needs to meet the needs of ink supply systems of different scales and configurations; standardized interfaces and communication protocols are used between modules; The intelligent fault diagnosis and self-repair module is used to integrate intelligent fault diagnosis functions, which can automatically detect problems in the ink supply system and repair them through a self-repair mechanism or give maintenance suggestions; The grayscale printing application is used to achieve precise adjustment of the strength and permeability of the sand mold by differentially controlling the inkjet amount of the outer contour and the inner contour.

2. The monitoring, diagnosis and intelligent pressure regulation strategy for multi-grayscale printing ink supply system according to claim 1, characterized in that: The specific implementation of the intelligent dynamic voltage regulation algorithm module is as follows: (1) Data acquisition: The sensor module collects the working status data of the printhead in real time, including inkjet frequency, inkjet volume, working time, temperature, and viscosity; (2) Data processing: After receiving the sensor data, the control module performs preprocessing and normalization to eliminate noise and outliers and improve the accuracy and reliability of the data; (3) Algorithm calculation: According to the working principle and performance requirements of the nozzle, a set of preset pressure regulation rules and models are established; when the inkjet frequency is high, it is necessary to appropriately increase the ink supply pressure to ensure the ink supply speed; when the temperature is high, the viscosity of the ink may decrease, and at this time, the ink supply pressure is appropriately reduced to prevent excessive inkjet; the multi-parameter fusion control model adopts a neural network model, a fuzzy logic model or a linear regression model. When using the neural network model, the inkjet frequency, inkjet volume, working time, temperature, and viscosity parameters are used as the input layer, and the ink supply pressure is used as the output layer. The mapping relationship between the input parameters and the output parameters is established by training the neural network; The pre-processed and normalized parameters are input into the multi-parameter fusion control model, and the appropriate ink supply pressure value is obtained by calculation according to the preset pressure regulation rules and models; when the linear regression model is used, the ink supply pressure value P is calculated using the following formula: P=a0+a1F+a2Q+a3T+a4V+a5D Among them, F represents the inkjet frequency, Q represents the inkjet volume, T represents the temperature, V represents the viscosity, D represents the working time, and a0, a1, a2, a3, a4, and a5 are regression coefficients obtained by fitting the experimental data; (4) Issuance of control instructions: Based on the calculation results of the algorithm, the control module issues control instructions to the execution module to adjust the ink supply pressure of the ink supply module.

3. The monitoring, diagnosis and intelligent pressure regulation strategy for the multi-grayscale printing ink supply system according to claim 2, characterized in that: The adaptive pressure balance mechanism module (2) adopts an adaptive pressure balance mechanism, and the specific implementation method is as follows: (1) Pressure monitoring: The sensor module monitors the ink supply pressure of each nozzle in real time and feeds the data back to the control module; (2) Pressure analysis: The control module analyzes the pressure differences and change trends between the nozzles based on the received pressure data; (3) Pressure adjustment: Based on the analysis results, the control module dynamically adjusts the ink supply pressure of the ink supply module through the execution module to ensure that each nozzle can obtain a stable and appropriate ink supply pressure.

4. The monitoring, diagnosis and intelligent pressure regulation strategy for the multi-grayscale printing ink supply system according to claim 3, characterized in that: The multi-parameter fusion control module (3) is composed of a parameter acquisition unit, a data processing unit, a decision control unit and a communication interface; the parameter acquisition unit is responsible for real-time acquisition of working state parameters of the nozzle, including but not limited to temperature, viscosity, flow rate and pressure; These parameters are monitored in real time through sensor modules to ensure the accuracy and real-time nature of the data; Data processing unit: pre-processes, filters and normalizes the collected raw data to eliminate noise and outliers and improve data quality. At the same time, this unit is also responsible for converting the processed data into a format suitable for use by the decision control unit; Decision control unit: Based on the processed data, combined with the preset control algorithm and rules, it makes intelligent decisions; this unit uses multi-parameter fusion technology to comprehensively consider the impact of various parameters on the ink supply pressure and calculate the optimal ink supply pressure value; Communication interface: responsible for communicating with the control module and other related modules, receiving control instructions, and sending decision results and execution status.

5. The monitoring, diagnosis and intelligent pressure regulation strategy for the multi-grayscale printing ink supply system according to claim 4, characterized in that: The specific implementation of the multi-parameter fusion control module (3) is as follows: (1) Parameter weight allocation: Based on empirical knowledge and actual needs, each parameter is assigned a corresponding weight; these weights reflect the importance of each parameter in the decision-making process; By analyzing a large amount of historical printing data, the influence of different parameters on printing quality and ink supply pressure adjustment is determined, so as to assign a weight value between 0 and 1 to each parameter; the weight assigned to inkjet frequency is w1, the weight assigned to inkjet volume is w2, the weight assigned to working time is w3, the weight assigned to temperature is w4, and the weight assigned to viscosity is w5; (2) Data fusion processing: The processed data is weighted summed or averaged according to the weights to obtain a fusion value that comprehensively reflects the working status of the nozzle; the value of the inkjet frequency is f, the value of the inkjet volume is q, the value of the working time is t, the value of the temperature is temp, and the value of the viscosity is vis, then the fusion value F s um is calculated by the following formula: F s um=w1*f+w2*q+w3*t+w4*temp+w5*force; (3) Decision rule formulation: Based on the fusion value and preset decision rules, the corresponding control strategy is formulated; these rules are adjusted and optimized according to the actual situation to meet different printing needs.

6. The monitoring, diagnosis and intelligent pressure regulation strategy for the multi-grayscale printing ink supply system according to claim 5, characterized in that: The specific implementation of the modular design module (4) is as follows: (1) Determine the modules: Determine the modules to be divided according to system requirements; (2) Design module functions: Design specific functions and interfaces for each module to ensure the coordination between modules; (3) Develop modules: Implement the functions of each module according to the design documents and interface specifications; (4) Combined modules: Combine the developed modules to realize the final intelligent pressure regulating device for the multi-nozzle ink supply system.

7. The monitoring, diagnosis and intelligent pressure regulation strategy for the multi-grayscale printing ink supply system according to claim 6, characterized in that: The specific implementation of the intelligent fault diagnosis and self-repair module (5) is as follows: (1) Fault detection: The sensor module monitors the system's operating status in real time and immediately sends an alarm signal to the control module once an abnormality or fault is detected; (2) Fault diagnosis: The control module performs fault diagnosis and analysis based on the received alarm signals and sensor data to determine the fault type and cause; (3) Self-repair: For repairable faults, the control module attempts to repair itself by adjusting the ink supply pressure or replacing the nozzle. If self-repair fails, the system will sound an alarm to prompt the user to intervene manually.

8. The monitoring, diagnosis and intelligent pressure regulation strategy for the multi-grayscale printing ink supply system according to claim 7, characterized in that: The specific implementation of the grayscale printing application (6) is as follows: (1) Setting printing parameters: according to the printing requirements of the sand mold, set the inkjet volume parameters of the outer contour and inner contour; (2) Start printing: Start the multi-nozzle ink supply system and perform grayscale printing according to the set parameters; (3) Real-time monitoring and adjustment: During the printing process, the status of the nozzle and the operation of the ink supply system are monitored in real time, and dynamic adjustments are made as needed.

9. A method for monitoring, diagnosing and intelligently regulating the ink supply system for multi-grayscale printing, characterized in that: The method comprises the following steps: Step 1: Establish an intelligent dynamic pressure regulation algorithm and an adaptive pressure balance mechanism; use sensors to capture the core data of the nozzle's inkjet frequency, inkjet volume, and working time in real time; use advanced algorithms to analyze these data and accurately identify the working status of each nozzle; the algorithm will intelligently adjust the ink supply pressure based on the analysis results to ensure that the nozzle can maintain excellent printing effects in various working environments; when multiple nozzles are working at the same time, the adaptive pressure balance mechanism will intelligently allocate and adjust the ink supply pressure according to the actual needs of each nozzle to ensure that each nozzle obtains a stable and appropriate working pressure; Step 2: Implement multi-parameter fusion control strategy; comprehensively collect key parameters of temperature, viscosity, and fluidity of the nozzle, and build a multi-parameter fusion control model; this model will comprehensively consider multiple factors that affect inkjet quality, accurately calculate the pressure adjustment value, and thus optimize the printing effect; Step 3: Adopt modular design concept; clearly divide modules according to system requirements, including nozzle control module and pressure regulation module; carefully design functions and interfaces for each module to ensure seamless collaboration between modules; implement the functions of each module in accordance with strict design documents and interface specifications, and organically combine them to ultimately build an efficient multi-nozzle ink supply system intelligent pressure regulating device; Step 4: Introduce intelligent fault diagnosis and self-repair mechanism; collect the operation data of the ink supply system in real time through sensors, clean, convert and standardize the data for subsequent in-depth analysis; use advanced algorithms such as machine learning to analyze the pre-processed data, accurately detect potential faults, and determine the type and location of the fault; once a fault is diagnosed, the device will automatically start the repair mechanism to repair it or provide maintenance suggestions; Step 5: Implement grayscale printing application; accurately set the inkjet volume parameters of the outer and inner contours according to the printing requirements of the sand mold; start the multi-nozzle ink supply system and perform grayscale printing according to the preset parameters; during the printing process, monitor the status of the nozzles and the operation of the ink supply system in real time, and make real-time dynamic adjustments as needed to ensure the best printing effect.

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