Method and system for controlling spray parameters of a micro-liquid continuous spray device

Abstract

This application relates to a method and system for controlling spraying parameters in a continuous micro-liquid spraying device, and pertains to the technical field of continuous liquid spraying. The method includes controlling a conveying device to transport sample material into the spraying device, and controlling the spraying device to spray the sample liquid onto the sample material according to a target speed; collecting the actual initial speed of the sample liquid; determining whether the actual initial speed is not less than the target speed; if so, continuing to collect the actual initial speed of the sample liquid for cyclical judgment; if not, controlling a preset pretreatment device to pretreatment the spraying device according to the actual initial speed to update the actual initial speed of the sample liquid; collecting material dust parameters of the sample material; correcting the actual initial speed according to the material dust parameters to generate an actual corrected speed of the sample liquid; and controlling the spraying device to spray the sample liquid onto the sample material according to the actual corrected speed. This application has the effect of improving the uniformity of liquid spraying.

Description

Technical Field

[0001] This application relates to the technical field of continuous liquid spraying, and in particular to a method and system for controlling spraying parameters in a micro-volume continuous liquid spraying device. Background Technology

[0002] Continuous liquid spraying refers to a technical means of continuously and uninterruptedly spraying sample materials with liquid by controlling the spraying device through spraying parameters, and ensuring the spraying effect after data processing and error correction.

[0003] In related technologies, when continuously spraying materials with liquid, the materials are usually first conveyed at a constant speed by a conveying platform to the area below the automatic spray nozzle. Based on the material conveying speed and the requirements for uniformity of liquid spraying, the target speed of the liquid sprayed from the automatic spray nozzle is controlled by the liquid storage system. The automatic spray nozzle is then controlled to continuously spray the material surface according to the target speed, thereby completing the spraying task.

[0004] Regarding the aforementioned technologies, during continuous liquid spraying of materials using automatic spray nozzles, dust on the material surface is easily stirred up by the conveyor platform, causing nozzle blockage and interfering with the liquid movement process, resulting in uneven liquid spraying. There is still room for improvement. Summary of the Invention

[0005] To improve the uniformity of liquid sprayed materials, this application provides a method and system for controlling the spraying parameters of a micro-liquid continuous spraying device.

[0006] In the first aspect, this application provides a method for controlling the spraying parameters of a micro-liquid continuous spraying device, which adopts the following technical solution: The spraying parameter control method for a micro-liquid continuous spraying device includes: The preset conveying device is controlled to transport the preset sample material to the preset spraying device, and the spraying device is controlled to spray the preset sample liquid onto the sample material according to the preset target speed. The actual initial velocity of the collected sample liquid; Determine whether the actual initial velocity is not less than the target velocity; If so, continue to collect the actual initial velocity of the sample liquid and perform cyclical judgment; If not, the spraying device is pre-treated by the preset pre-treatment device according to the actual initial speed to update the actual initial speed of the sample liquid. Collect the dust parameters of the sample material; The actual initial velocity is corrected based on the material dust parameters to generate the actual corrected velocity of the sample liquid; The spraying device is controlled to spray the sample liquid onto the sample material based on the actual correction speed.

[0007] By adopting the above technical solution, the conveying device is first controlled to transport the sample material into the spraying device. The spraying device is then controlled to spray the sample liquid onto the sample material according to the target speed. When the actual initial speed is determined to be no greater than the target speed, the pretreatment device is controlled to pretreat the spraying device according to the actual initial speed to update the actual initial speed of the sample liquid. Then, the actual initial speed is corrected according to the material dust parameters to determine the actual corrected speed of the sample liquid. The spraying device is then controlled to spray the sample liquid onto the sample material according to the actual corrected speed, thereby improving the uniformity of the liquid spraying material.

[0008] Optionally, the step of pre-treating the spraying device according to the actual initial velocity using a preset pre-treatment device to update the actual initial velocity of the sample liquid includes: The pretreatment device is controlled to pretreat the spraying device to obtain a non-clogging spraying device. Collect the actual droplet volume and initial viscosity of the sample liquid; The actual droplet volume and initial viscosity of the liquid are analyzed to generate a clogging risk value; Determine whether the congestion risk value is not greater than the preset congestion risk threshold; If so, continue to collect the actual droplet volume and initial viscosity of the sample liquid for cyclical judgment; If not, the initial viscosity of the liquid is analyzed to generate the target droplet volume of the sample liquid; The pretreatment device processes the sample liquid based on the target droplet volume to update the actual initial velocity of the sample liquid.

[0009] By adopting the above technical solution, the pretreatment device is first used to pretreat the spraying device to obtain a non-clogging spraying device. Then, the clogging risk value is determined based on the actual droplet volume and the initial viscosity of the liquid. When the clogging risk value is greater than the clogging risk threshold, the target droplet volume of the sample liquid is determined based on the initial viscosity of the liquid. Finally, the pretreatment device is used to process the sample liquid according to the target droplet volume to update the actual initial velocity of the sample liquid. This achieves precise control of the actual initial velocity during the micro-liquid spraying process and improves the uniformity of the liquid spraying material.

[0010] Optionally, the step of controlling the pretreatment device to pretreat the spraying device to obtain a non-clogging spraying device includes: The target velocity and the actual initial velocity are analyzed to generate a blockage correlation factor; The congestion-flow correlation coefficient is found in the preset congestion-flow mapping table based on the congestion correlation factor; Calculate the product of the blockage flow correlation coefficient, the blockage correlation factor, and the preset purge gas flow rate to generate the gas compensation flow rate; Calculate the sum of the gas compensation flow rate and the purge gas flow rate to generate the gas correction flow rate; The spraying device is purged using a gas-corrected flow control pretreatment device to obtain a clog-free spraying device.

[0011] By adopting the above technical solution, the blockage correlation factor is obtained after calculating the target speed and the actual initial speed. The blockage flow correlation coefficient is found in the blockage flow mapping table based on the blockage correlation factor. Considering that blockage may occur again during the spraying process, which will reduce the liquid flow rate and affect the accuracy of the actual initial speed, the gas compensation flow rate is obtained by calculating the blockage flow correlation coefficient, the blockage correlation factor and the purging gas flow rate. Then, the gas correction flow rate is determined based on the gas compensation flow rate and the purging gas flow rate. Finally, the pretreatment device is controlled to purge the spraying device based on the gas correction flow rate, thereby effectively solving the blockage in the spraying device.

[0012] Optionally, the step of analyzing the initial viscosity of the liquid to generate the target droplet volume of the sample liquid includes: Calculate the quotient between the initial viscosity of the liquid and the preset critical viscosity of the liquid to generate the liquid viscosity deviation coefficient; Calculate the quotient between the actual droplet volume and the preset reference droplet volume to generate the droplet volume deviation coefficient; The liquid viscosity deviation coefficient and droplet volume deviation coefficient are analyzed to generate coupling correction coefficients; Calculate the product of the coupling correction coefficient and the reference droplet volume to generate the target droplet volume of the sample liquid.

[0013] By adopting the above technical solution, the liquid viscosity deviation coefficient is determined based on the initial viscosity and critical viscosity of the liquid, the droplet volume deviation coefficient is determined based on the actual droplet volume and the reference droplet volume, the coupling correction coefficient is determined based on the liquid viscosity deviation coefficient and the droplet volume deviation coefficient, and finally the target droplet volume of the sample liquid is obtained by calculating the coupling correction coefficient and the reference droplet volume, thereby ensuring that the pretreated sample liquid will no longer cause blockage.

[0014] Optionally, the step of correcting the actual initial velocity based on material dust parameters to generate the actual corrected velocity of the sample liquid includes: The material dust parameters and actual initial velocity are analyzed to generate the actual arrival velocity of the sample liquid; Determine whether the actual arrival speed is consistent with the preset baseline spraying speed; If so, the actual initial velocity will be directly defined as the actual corrected velocity; If not, calculate the difference between the reference spraying speed and the actual arrival speed to generate the speed compensation amount; The sum of the velocity compensation and the actual initial velocity is calculated to generate the actual corrected velocity of the sample liquid.

[0015] By adopting the above technical solution, the actual arrival speed of the sample liquid is determined based on the material dust parameters and the actual initial speed. When the actual arrival speed is inconsistent with the preset reference spraying speed, the speed compensation amount is determined by calculating the difference between the reference spraying speed and the actual arrival speed. Then, the actual corrected speed of the sample liquid is obtained by calculating the speed compensation amount and the actual initial speed, thereby improving the accuracy of the actual corrected speed.

[0016] Optionally, the steps of analyzing material dust parameters and actual initial velocities to generate the actual arrival velocity of the sample liquid include: Determine the dust mass and dust velocity in the subspace based on the material dust parameters; The instantaneous velocity of the sample liquid is generated based on the subspace dust mass, subspace dust velocity, and actual initial velocity. The instantaneous velocity of the liquid and the preset subspace descent height are analyzed to generate the actual arrival velocity of the sample liquid.

[0017] By adopting the above technical solution, considering that the dust parameters at different locations have different effects on the actual initial velocity, they need to be calculated independently. The dust mass and dust velocity of the subspace are determined based on the material dust parameters. The instantaneous velocity of the sample liquid is determined based on the dust mass, dust velocity, and actual initial velocity of the subspace. Then, the actual arrival velocity of the sample liquid is determined based on the instantaneous velocity of the liquid and the descent height of the subspace, thereby improving the uniformity of continuous liquid spraying.

[0018] Optionally, the step of generating the instantaneous velocity of the sample liquid based on the subspace dust mass, subspace dust velocity, and actual initial velocity includes: Calculate the product of subspace dust mass and subspace dust velocity to generate subspace loss momentum; Calculate the product of the actual initial velocity and the preset subspace liquid mass to generate the initial momentum of the liquid; The difference between the initial momentum of the liquid and the momentum lost in the subspace is calculated to generate the final liquid momentum; Calculate the quotient of the final liquid momentum and the liquid mass in the subspace to generate the instantaneous liquid velocity.

[0019] By adopting the above technical solution, the lost momentum of the subspace is determined by calculating the dust mass and velocity of the subspace. The initial momentum of the liquid is obtained by calculating the actual initial velocity and the preset liquid mass of the subspace. The final liquid momentum is obtained by calculating the initial liquid momentum and the lost momentum of the subspace. Finally, the instantaneous velocity of the liquid is obtained by calculating the final liquid momentum and the liquid mass of the subspace, thus ensuring the accuracy of the instantaneous liquid velocity.

[0020] Secondly, this application provides a spraying parameter control system for a micro-liquid continuous spraying device, which adopts the following technical solution: The spraying parameter control system for the micro-volume liquid continuous spraying device includes: The data acquisition module is used to collect actual initial velocity, material dust parameters, actual droplet volume, and initial liquid viscosity. A memory for storing a program for controlling the spraying parameters of a micro-liquid continuous spraying apparatus as described in any of the preceding claims; The processor and the program in the memory can be loaded and executed by the processor to implement the spraying parameter control method of the micro-liquid continuous spraying device as described in any of the above.

[0021] By adopting the above technical solution, the control processor loads and executes the program of the spraying parameter control method of the micro-liquid continuous spraying device stored in the memory. First, the control conveyor transports the sample material into the spraying device. According to the target speed, the control spraying device sprays the sample liquid onto the sample material. When it is determined that the actual initial speed is greater than the target speed, the control pre-treatment device pre-treats the spraying device according to the actual initial speed to update the actual initial speed of the sample liquid. Then, the actual initial speed is corrected according to the material dust parameters to determine the actual corrected speed of the sample liquid. According to the actual corrected speed, the control spraying device sprays the sample liquid onto the sample material, thereby improving the uniformity of the liquid spraying material.

[0022] In summary, this application includes at least one of the following beneficial technical effects: 1. The sample material is first transported to the spraying device by the control conveying device. The spraying device is then controlled to spray the sample liquid onto the sample material according to the target speed. When the actual initial speed is determined to be no greater than the target speed, the pretreatment device is controlled to pretreat the spraying device according to the actual initial speed to update the actual initial speed of the sample liquid. Then, the actual initial speed is corrected according to the material dust parameters to determine the actual corrected speed of the sample liquid. The spraying device is then controlled to spray the sample liquid onto the sample material according to the actual corrected speed to improve the uniformity of the liquid spraying material. 2. By first controlling the pretreatment device to pretreat the spraying device to obtain a non-clogging spraying device, then determining the clogging risk value based on the actual droplet volume and the initial viscosity of the liquid, when the clogging risk value is greater than the clogging risk threshold, the target droplet volume of the sample liquid is determined based on the initial viscosity of the liquid, and finally the pretreatment device is controlled to process the sample liquid according to the target droplet volume to update the actual initial velocity of the sample liquid, thereby achieving precise control of the actual initial velocity during the micro-liquid spraying process and improving the uniformity of the liquid spraying material; 3. After calculating the target speed and the actual initial speed, the clogging correlation factor is obtained. Based on the clogging correlation factor, the clogging flow correlation coefficient is found in the clogging flow mapping table. Considering that clogging may occur again during the spraying process, causing a decrease in liquid flow rate and affecting the accuracy of the actual initial speed, the gas compensation flow rate is calculated by the clogging flow correlation coefficient, the clogging correlation factor, and the purging gas flow rate. Then, the gas correction flow rate is determined based on the gas compensation flow rate and the purging gas flow rate. Finally, the pretreatment device is controlled to purge the spraying device based on the gas correction flow rate, thereby effectively solving the clogging in the spraying device. Attached Figure Description

[0023] Figure 1 This is a flowchart of the spraying parameter control method of the micro-liquid continuous spraying device in the embodiments of this application.

[0024] Figure 2 This is a flowchart of the steps in this application embodiment where a preset pretreatment device is used to pretreatment the spraying device according to the actual initial velocity to update the actual initial velocity of the sample liquid.

[0025] Figure 3 This is a flowchart illustrating the steps in this application embodiment of controlling the pretreatment device to pretreat the spraying device in order to obtain a non-clogging spraying device.

[0026] Figure 4 This is a flowchart of the steps in this application embodiment to analyze the initial viscosity of the liquid in order to generate the target droplet volume of the sample liquid.

[0027] Figure 5 This is a flowchart of the steps in this application embodiment to correct the actual initial velocity based on the material dust parameters to generate the actual corrected velocity of the sample liquid.

[0028] Figure 6 This is a flowchart of the steps in this application embodiment to analyze material dust parameters and actual initial velocity to generate the actual arrival velocity of the sample liquid.

[0029] Figure 7This is a flowchart of the steps in this application embodiment to generate the instantaneous velocity of the sample liquid based on the subspace dust mass, subspace dust velocity, and actual initial velocity. Detailed Implementation

[0030] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figures 1 to 7 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0031] This application discloses a method for controlling the spraying parameters of a continuous micro-liquid spraying device. A bulk material conveying pipeline is sequentially connected to a data acquisition device, a pretreatment device, and a spraying device. The specific operation steps are as follows: First, the sample material is conveyed to the spraying device via a control conveying device. The spraying device is then controlled to continuously spray the sample material with the liquid according to a target speed. The actual initial speed of the sample liquid is collected, and it is determined whether the actual initial speed is not less than the target speed. If the actual initial speed is not less than the target speed, the actual initial speed of the sample liquid is collected and the process is repeated. If the actual initial speed is less than the target speed, the pretreatment device is controlled to pretreatment the spraying device to update the actual initial speed of the sample liquid. Then, the material dust parameters of the sample material are collected, and the actual initial speed is corrected based on the material dust parameters to generate a corrected actual speed for the sample liquid. Finally, the spraying device is controlled to spray the sample liquid onto the sample material according to the corrected actual speed, thereby improving the uniformity of the liquid spraying.

[0032] Reference Figure 1 This application discloses a method for controlling the spraying parameters of a micro-liquid continuous spraying device, including the following steps: Step S100: Control the preset conveying device to convey the preset sample material to the preset spraying device, and control the spraying device to spray the preset sample liquid onto the sample material according to the preset target speed.

[0033] Among them, the conveying device refers to the automated equipment used to carry and stably transport the sample material to the spraying operation area of ​​the spraying device according to the preset path. Through customized procurement of industrial equipment, the sample material is continuously, uniformly, and accurately transported, ensuring that the material can enter the spraying area at the preset rhythm, thus providing a basis for the stable control of subsequent spraying parameters.

[0034] Sample materials refer to the objects to be processed that require micro-liquid spraying, such as corn, wheat, and soybeans.

[0035] A spraying device is a unit used to store sample liquid and spray it onto the surface of sample materials in the form of atomization or liquid flow. It integrates sensors, a storage tank, a motor-driven delivery platform, a flow controller, and nozzles. The device uses a frame as its overall support. The storage tank, flow controller, and nozzles are connected sequentially from top to bottom via liquid pipelines. The motor-driven delivery platform is positioned directly below the nozzles and precisely aligned with the spraying area. The spraying area forms a semi-enclosed spraying chamber, which is evenly divided into multiple sub-spaces. Each sub-space is equipped with a corresponding nozzle and sensor assembly. As the core execution device for completing the micro-liquid spraying operation of the sample material, the sensor monitors the sample... The system collects data on the actual initial velocity of the liquid, the real-time flow rate of the pipeline, and the dust parameters of the material in the spraying area to provide precise data support for spraying parameter control. The flow controller receives the parameter signals collected by the sensor, compares them with the preset spraying parameters, and sends a pressurization or depressurization command to the storage tank to achieve dynamic correction of the sample liquid spraying speed. At the same time, it precisely adjusts the opening of its own valve to control the liquid supply flow rate in the pipeline to match the uniform conveying speed of the motor conveying platform. Finally, the nozzle receives the formal spraying command from the flow controller and atomizes the precisely controlled sample liquid into micro-droplets, which are then uniformly and continuously sprayed onto the surface of the sample material passing at a uniform speed, achieving continuous micro-liquid spraying of the sample material.

[0036] The target speed refers to the initial theoretical speed at which the sample liquid is sprayed from the nozzle of the spraying device to ensure the uniformity of liquid coating on the surface of the sample material. It is obtained through experimental calibration and serves as a benchmark value for controlling the spraying parameters. It is used to compare with the actual initial speed collected to determine whether the spraying device is in normal working condition.

[0037] The sample liquid refers to the functional liquid medium that needs to be sprayed onto the surface of the sample material. By spraying it onto the surface of the sample material, the spraying speed directly determines the thickness and uniformity of the liquid film, which is the core control object of this control method.

[0038] Step S101: Collect the actual initial velocity of the sample liquid.

[0039] The actual initial velocity refers to the velocity of liquid particles measured within a preset velocity acquisition area at the instant the sample liquid is ejected from the nozzle outlet of the spraying device. It is the initial velocity of the liquid after it leaves the nozzle constraint and is obtained by a sensor installed below the nozzle of the spraying device. Specifically, a laser phase Doppler velocimeter combined with a high-speed imaging recognition module is used to detect the actual initial velocity. The high-speed imaging recognition module can filter droplets by morphology and particle size thresholds. The laser phase Doppler velocimeter can further distinguish droplets from dust by the phase difference characteristics of laser scattering. The laser phase Doppler velocimeter in the subspace detects the velocity of the droplets and reduces noise to obtain the actual initial velocity, which provides a basis for subsequent judgment on whether there is blockage in the spraying device and ensures the uniformity of continuous liquid spraying.

[0040] Step S102: Determine whether the actual initial speed is not less than the target speed.

[0041] Specifically, by determining whether the actual initial speed is not less than the target speed, it can be determined whether the spraying device is clogged.

[0042] Step S1021: If yes, continue to collect the actual initial velocity of the sample liquid for cyclic judgment.

[0043] If the current actual initial speed is not less than the target speed, it indicates that there is no blockage in the current spraying device. Therefore, there is no need to pre-treat the spraying device and the sample liquid. You can directly continue to collect the actual initial speed for cyclic judgment.

[0044] Step S1022: If not, then control the preset pretreatment device to pretreatment the spraying device according to the actual initial speed to update the actual initial speed of the sample liquid.

[0045] If the current actual initial velocity is less than the target velocity, it indicates a blockage within the spraying device. Therefore, the pretreatment device needs to be controlled to pretreat the spraying device based on the actual initial velocity to update the actual initial velocity of the sample liquid. For specific methods, refer to [link to relevant documentation]. Figure 2 The steps.

[0046] The pretreatment device is the core functional component that enables the spraying device to prevent clogging and achieve precise control of liquid volume. It is a general term for a device that integrates a high-pressure blowing module, a liquid volume control module, and a linkage control unit. One end of the device is connected to the liquid outlet of the storage tank, and the other end is connected to the liquid supply pipeline of the spraying device, forming a linkage with the nozzle. As a pre-positioning hub for parameter correction before spraying, the high-pressure blowing module uses a built-in micro air compressor and pulse blowing nozzle to perform high-pressure purging and unclog the spraying device. The liquid volume control module uses a micro metering pump and flow sensor to collect the liquid flow rate in the supply pipeline in real time and convert it into droplet volume. After comparing it with the target droplet volume, the pump flow rate is precisely adjusted. The linkage control unit receives monitoring signals of clogging risk value and actual droplet volume. It first triggers the high-pressure blowing cleaning function to eliminate clogging, and then starts the liquid volume control function to stabilize the droplet volume parameters. Finally, through dual pretreatment actions, the spraying parameters are dynamically corrected, avoiding uneven spraying caused by nozzle clogging and droplet volume fluctuations.

[0047] Step S103: Collect the material dust parameters of the sample material.

[0048] The material dust parameters include the rising velocity and mass of dust on the material surface at different spatial locations in the spraying device. This is a data set of sub-space dust velocity and mass. The rising velocity of the material surface dust refers to the instantaneous speed at which dust particles attached to the surface of the sample material detach from the material surface and enter the spraying working space during the movement of the sample material on the conveying device. This directly reflects the degree of interference of dust on the trajectory of the sprayed liquid. The rising mass of the material surface dust refers to the total mass of dust particles detached from the surface of the sample material and entering the spraying working space per unit time. This mass is obtained through sensors within the spraying device. Specifically, a laser phase Doppler velocimeter combined with a high-speed imaging recognition module is used. Accurate separation of droplets and dust is achieved through differences in morphology, particle size, and optical refractive index. The laser phase Doppler velocimeter detects the dust velocity, and a laser dust concentration sensor detects the dust concentration within the sub-space. The dust mass is then calculated by multiplying the dust concentration by the sub-space volume, providing data support for subsequent dynamic correction of the actual initial velocity.

[0049] Step S104: Correct the actual initial velocity based on the material dust parameters to generate the actual corrected velocity of the sample liquid.

[0050] Among them, after determining the material dust parameters, the degree of influence of the material dust parameters on continuous liquid spraying is determined. The actual initial velocity is corrected according to the material dust parameters. By achieving precise control of the actual initial velocity, the uniformity of the liquid spraying material is improved.

[0051] Actual corrected speed refers to the precise spraying speed at which the spraying device performs the spraying operation. Based on the actual initial speed of the sample liquid after correction by the pretreatment device, and combined with material dust parameters, the optimal actual initial speed of the sample liquid, calculated through a pre-set speed compensation model, is used to offset dust interference. This speed serves as the final control basis for the spraying device, ensuring the uniformity of continuous liquid spraying. Specific methods are detailed below. Figure 5 The steps.

[0052] Step S105: Control the spraying device to spray the sample liquid onto the sample material according to the actual correction speed.

[0053] In this process, after determining the actual correction speed, the amount of correction required for the actual initial speed is determined. The actual correction speed is then used to control the spraying device to spray the sample liquid onto the sample material, thereby improving the uniformity of the liquid spraying material.

[0054] Reference Figure 2 The steps of pre-treating the spraying device according to the actual initial velocity to update the actual initial velocity of the sample liquid include: Step S200: Control the pretreatment device to pretreat the spraying device to obtain a non-clogging spraying device.

[0055] In this process, the spraying device is pre-treated by air blowing using a pre-treatment device to obtain a clogging-free spraying device. The specific method is described in [reference needed]. Figure 3 The steps.

[0056] Step S201: Collect the actual droplet volume and initial viscosity of the sample liquid.

[0057] The actual droplet volume refers to the three-dimensional spatial volume of a single discrete droplet in the initial stage after the sample liquid is sprayed from the nozzle of the spraying device, before it interacts with air or material dust. A quantitative amount of droplets sprayed uniformly from the nozzle within a preset time is collected by a liquid collection device. The total mass of the collected droplets is weighed using a high-precision electronic balance. The total volume of the collected droplets is obtained by calculating the quotient of the total mass of the droplets and the pre-set sample liquid density. Then, the total number of droplets within this time period is counted by a high-speed camera. Finally, the actual droplet volume is obtained by calculating the quotient of the total droplet volume and the total number of droplets, which provides data support for obtaining the clogging risk value.

[0058] The initial viscosity of a liquid refers to the original dynamic viscosity of the sample liquid in the storage chamber or delivery pipeline before it enters the spraying device. It is obtained directly by rotational viscometer method and provides data support for obtaining the clogging risk value later.

[0059] Step S202: Analyze the actual droplet volume and initial viscosity of the liquid to generate a clogging risk value.

[0060] The clogging risk value is a quantitative indicator of the likelihood of the sample liquid causing clogging in the spraying device. It serves as a quantitative basis for judging the clogging status of the spraying device. The specific formula is as follows: .

[0061] in, This refers to the risk value of blockage. This refers to the weighting coefficient of droplet volume risk, indicating the proportion of droplet volume's contribution to clogging risk. Through experimental calibration, it quantifies the relative importance of droplet volume in the overall clogging risk. This refers to the actual droplet volume. The reference droplet volume refers to a pre-calibrated standard volume of sample liquid droplets adapted to the spraying device and the target spraying accuracy requirements. It serves as a benchmark for measuring the deviation of the actual droplet volume, obtained through experimental calibration, and is used as the basis for calculating the droplet volume deviation coefficient. This refers to the weighting coefficient of liquid viscosity risk, indicating the proportion of liquid viscosity's contribution to clogging risk. Through experimental calibration, it quantifies the relative importance of liquid viscosity in the overall clogging risk. This refers to the initial viscosity of the liquid. It refers to the critical viscosity of a liquid, which is the highest liquid viscosity that will not cause blockage when a reference droplet volume is used in a specific device. It is calibrated experimentally to provide data support for calculating the blockage risk value.

[0062] Step S203: Determine whether the blockage risk value is not greater than the preset blockage risk threshold.

[0063] Among them, the clogging risk threshold refers to the pre-set critical dimensionless value used to classify the clogging risk level of the nozzle. By averaging the critical clogging risk values ​​of each group of experiments, the clogging risk threshold under different working conditions is obtained, which serves as the starting and stopping criteria for the pretreatment program.

[0064] By determining whether the clogging risk value is not greater than the clogging risk threshold, it can be determined whether the sample liquid in the spraying device is in a smooth state, and further determine whether to trigger dynamic correction of the spraying parameters.

[0065] Step S2031: If yes, continue to collect the actual droplet volume and initial viscosity of the sample liquid for cyclic judgment.

[0066] If the clogging risk value is not greater than the clogging risk threshold, it indicates that there is no clogging in the spraying device that affects the actual initial velocity of the liquid. Therefore, there is no need to pre-process the sample liquid. You can directly continue to collect the actual droplet volume and initial viscosity of the sample liquid for cyclic judgment.

[0067] Step S2032: If not, analyze the initial viscosity of the liquid to generate the target droplet volume of the sample liquid.

[0068] If the clogging risk value is greater than the clogging risk threshold, it indicates that a blockage has occurred in the spraying device, affecting the actual initial velocity of the liquid. Therefore, it is necessary to analyze the initial viscosity of the liquid to determine the target droplet volume of the sample liquid.

[0069] The target droplet volume refers to the standard volume value of the sample liquid droplet that can prevent the spraying device from clogging and meet the target spraying speed requirements. This improves the accuracy of the actual initial velocity of the sample liquid and ensures the spraying effect. Specific methods are described in [reference needed]. Figure 4 The steps.

[0070] Step S204: The pretreatment device is used to process the sample liquid according to the target droplet volume to update the actual initial velocity of the sample liquid.

[0071] In this process, after determining the target droplet volume, the required droplet volume of sample liquid to prevent further clogging in the spraying device during the spraying process is determined. By controlling the pretreatment device to process the sample liquid, clogging is ensured to occur again during the liquid spraying process, thereby improving the accuracy of the actual initial velocity.

[0072] Reference Figure 3 The steps for obtaining a non-clogging spraying device after the pretreatment device performs pretreatment on the spraying device include: Step S300: Analyze the target velocity and the actual initial velocity to generate a blockage correlation factor.

[0073] Among them, the clogging correlation factor refers to a parameter indicating the correlation between the degree of speed deviation and the clogging risk of the spraying device during the pretreatment stage of the micro-liquid continuous spraying device. It is obtained by quantitatively analyzing the deviation relationship between the target spraying speed and the actual initial speed of the liquid, and the specific formula is as follows: .

[0074] in, This refers to blocking correlation factors. This refers to the actual initial velocity. This refers to the minimum critical speed, the threshold speed at which excessively low speeds cause liquid to stagnate in the nozzle and lead to blockages. It is determined experimentally to define the risk range for excessively low speeds. This refers to the maximum critical velocity, the threshold velocity at which excessively high speeds cause droplet breakage without clogging risk. It is determined experimentally to define a safe range for excessively high speeds. This refers to the target speed, which provides data support for obtaining the correlation coefficient of congestion flow in the future.

[0075] Step S301: Find the congestion flow correlation coefficient in the preset congestion flow mapping relationship table based on the congestion correlation factor.

[0076] Among them, the clogging flow mapping relationship table refers to a one-to-one correspondence data table that is pre-calibrated and stored in the parameter control system of the micro-liquid continuous spraying device. It is indexed by the clogging correlation factor and matched by the clogging flow correlation coefficient. It is used to establish the correlation rules between speed deviation and purging flow correction. It is obtained through experimental calibration and provides a basis for finding the subsequent clogging flow correlation coefficient based on the clogging correlation factor.

[0077] The clogging flow correlation coefficient is a parameter that indicates the relationship between the clogging correlation factor and the correction magnitude of the purging gas flow rate in the pretreatment purging process of a micro-liquid continuous spraying device. Its value is positively correlated with the degree of clogging risk of the spraying device. It is obtained by looking up the clogging flow mapping relationship table and provides data support for the subsequent calculation of gas compensation flow rate.

[0078] Step S302: Calculate the product of the blockage flow correlation coefficient, the blockage correlation factor, and the preset purge gas flow rate to generate the gas compensation flow rate.

[0079] Among them, the purging gas flow rate refers to the standard value of the gas volume flow rate for basic purging of the nozzle of the spraying device to initially reduce the risk of blockage. The theoretical value of the basic purging flow rate is first obtained by calculation through a fluid dynamics model, and then obtained through experimental calibration, which provides data support for obtaining the gas compensation flow rate in the future.

[0080] Gas compensation flow rate refers to the additional gas flow rate value used to compensate for the base purging flow rate in order to adapt to the blockage risk caused by the current velocity deviation. It is obtained by calculating the product of the blockage flow rate correlation coefficient, the blockage correlation factor and the purging gas flow rate, and provides data support for subsequent gas correction flow rate.

[0081] Step S303: Calculate the sum of the gas compensation flow rate and the purge gas flow rate to generate the gas correction flow rate.

[0082] Among them, the gas correction flow rate refers to the final purge gas flow rate value adapted to the current clogging risk condition. It is the core quantitative parameter that guides the pretreatment device to perform the purge operation. It is obtained by calculating the sum of the gas compensation flow rate and the purge gas flow rate, ensuring that a clogging-free spraying device is obtained.

[0083] Step S304: The spraying device is purged according to the gas correction flow control pretreatment device to obtain a non-clogging spraying device.

[0084] In this process, after determining the gas correction flow rate, the spraying device is purged by the gas correction flow rate control pretreatment device to ensure that there is no blockage in the spraying device and to ensure the uniformity of the liquid spraying material.

[0085] Reference Figure 4 The steps for analyzing the initial viscosity of the liquid to generate the target droplet volume of the sample liquid include: Step S400: Calculate the quotient of the initial viscosity of the liquid and the preset critical viscosity of the liquid to generate the liquid viscosity deviation coefficient.

[0086] The liquid viscosity deviation coefficient refers to the degree of deviation of the current initial viscosity of the sample liquid from the critical viscosity. It is obtained by calculating the quotient of the initial viscosity and the critical viscosity of the liquid, and provides data support for obtaining the coupling correction coefficient in the future.

[0087] The critical viscosity of the liquid in this step is the same as that in step S202.

[0088] Step S401: Calculate the quotient of the actual droplet volume and the preset reference droplet volume to generate the droplet volume deviation coefficient.

[0089] The droplet volume deviation coefficient refers to the degree of deviation of the droplet volume of the current sample liquid from the standard operating condition droplet volume. It is obtained by calculating the quotient of the actual droplet volume and the reference droplet volume, and provides data support for obtaining the coupling correction coefficient in the future.

[0090] The reference droplet volume in this step is the same as the reference droplet volume in step S202.

[0091] Step S402: Analyze the liquid viscosity deviation coefficient and the droplet volume deviation coefficient to generate a coupling correction coefficient.

[0092] The coupling correction coefficient refers to the degree of coupling influence between viscosity and droplet volume on the clogging risk and spraying speed of the spraying device. It is the core correction parameter connecting the deviation coefficient and the target droplet volume, and is obtained by calculating the liquid viscosity deviation coefficient and the droplet volume deviation coefficient. The specific formula is as follows: .

[0093] in, This refers to the coupling correction coefficient. This refers to the weighting factor of the viscosity deviation coefficient, characterizing the contribution of liquid viscosity deviation to the coupled correction. It is quantified through multiple sets of comparative experiments to determine the relative importance of viscosity deviation in the overall correction. This refers to the weighting factor of the droplet volume deviation coefficient, which characterizes the contribution of droplet volume deviation to the coupling correction and quantifies the relative importance of droplet volume deviation in the overall correction. It refers to the viscosity deviation coefficient of the liquid, which provides data support for subsequent calculations to obtain the target droplet volume.

[0094] Step S403: Calculate the product of the coupling correction coefficient and the reference droplet volume to generate the target droplet volume of the sample liquid.

[0095] In this process, after determining the coupling correction coefficient, the target droplet volume of the sample liquid is obtained by multiplying the coupling correction coefficient by the reference droplet volume, thereby ensuring that no blockage occurs in the spraying device during the sample liquid spraying process.

[0096] Reference Figure 5 The steps for correcting the actual initial velocity based on the material dust parameters to generate the actual corrected velocity of the sample liquid include: Step S500: Analyze the material dust parameters and actual initial velocity to generate the actual arrival velocity of the sample liquid.

[0097] The actual arrival velocity refers to the velocity parameter that the liquid droplets actually act on the material after overcoming dust resistance. It serves as a benchmark for velocity correction, quantifying the impact of dust on the spraying speed. This is obtained through analysis and calculation of material dust parameters and the actual initial velocity. Specific methods are detailed in [reference needed]. Figure 6 The steps.

[0098] Step S501: Determine whether the actual arrival speed is consistent with the preset reference spraying speed.

[0099] Among them, the reference spraying speed refers to the optimal target speed at which the sample liquid droplets reach the surface of the sample material in order to achieve a uniform and stable micro-liquid spraying effect for a specified sample material and sample liquid. It is calibrated through experiments and is the core reference benchmark for determining whether the actual initial speed needs to be corrected.

[0100] By determining whether the actual arrival speed is consistent with the reference spraying speed, it can be determined whether the sample liquid in the spraying device is affected by material dust, resulting in uneven spraying, and whether the actual initial speed needs to be corrected to ensure the uniformity of continuous liquid spraying.

[0101] Step S5011: If so, the actual initial velocity is directly defined as the actual corrected velocity.

[0102] If the actual arrival speed is consistent with the reference spraying speed, it indicates that the dust raised on the surface of the sample material during liquid spraying is not enough to cause uneven spraying. Therefore, there is no need to correct the actual initial speed, and the actual initial speed can be directly defined as the actual corrected speed.

[0103] Step S5012: If not, calculate the difference between the reference spraying speed and the actual arrival speed to generate a speed compensation amount.

[0104] If the actual arrival speed is inconsistent with the reference spraying speed, it indicates that the liquid spraying is uneven due to the influence of material dust. Therefore, it is necessary to correct the actual initial speed to improve the uniformity of the liquid spraying material.

[0105] Speed ​​compensation refers to the speed correction amount that needs to be adjusted in order to keep the actual arrival speed of the sample liquid consistent with the reference spraying speed. It is obtained by calculating the difference between the reference spraying speed and the actual arrival speed, and provides data support for obtaining the actual corrected speed in the future.

[0106] Step S502: Calculate the sum of the velocity compensation amount and the actual initial velocity to generate the actual corrected velocity of the sample liquid.

[0107] In this process, after determining the speed compensation amount, the actual corrected speed is obtained by calculating the sum of the speed compensation amount and the actual initial speed. Spraying is then performed according to the actual corrected speed to ensure the uniformity of the liquid sprayed material.

[0108] Reference Figure 6 The steps for analyzing material dust parameters and actual initial velocity to generate the actual arrival velocity of the sample liquid include: Step S600: Determine the subspace dust mass and subspace dust velocity based on the material dust parameters.

[0109] Among them, the subspace dust mass refers to the total mass of suspended dust in a unit falling subspace of the sample liquid droplet from the nozzle to the material surface within the spraying space of the micro-liquid continuous spraying device. It is obtained by the sensor in the spraying device and provides data support for obtaining the instantaneous velocity of the liquid.

[0110] Subspace dust velocity refers to the average movement velocity of suspended dust within a unit drop subspace of a micro-liquid continuous spraying device. It is obtained by sensors inside the spraying device and provides data support for obtaining the instantaneous velocity of the liquid.

[0111] Step S601: Based on the subspace dust mass, subspace dust velocity, and actual initial velocity, generate the instantaneous velocity of the sample liquid.

[0112] The instantaneous velocity of the liquid refers to the instantaneous velocity of the sample liquid droplet after it has completed momentum exchange with the dust within a unit falling subspace, without considering the continuous effect of gravitational acceleration. It quantifies the direct attenuation effect of dust on the droplet velocity, providing data support for calculating the actual arrival velocity. It is obtained through analysis and calculation of the subspace dust mass, subspace dust velocity, and actual initial velocity. Specific methods are described in [reference needed]. Figure 7 The steps.

[0113] Step S602: Analyze the instantaneous velocity of the liquid and the preset subspace descent height to generate the actual arrival velocity of the sample liquid.

[0114] The subspace descent height refers to the pre-defined vertical distance the sample liquid droplet travels from the moment it completes momentum exchange with the dust within a unit descent subspace until it reaches the surface of the sample material. This distance is obtained through experimental calibration and provides theoretical support for calculating the actual arrival velocity. During the process of the liquid and dust completing momentum exchange in the subspace and falling along this height to the material surface, the effect of gravitational acceleration is incorporated into the calculation of the actual arrival velocity, thus compensating for the influence of gravity. The specific formula is as follows: .

[0115] in, This refers to the actual arrival speed. It refers to the instantaneous velocity of the liquid. This refers to gravitational acceleration, the acceleration of an object near the Earth's surface caused by gravity. It is usually represented by a standard value. It refers to the descent height of the subspace, the vertical distance from which a droplet falls to the surface of the material after completing momentum exchange within a unit subspace. It is obtained by sensors inside the spraying device and provides data support for calculating the actual arrival speed.

[0116] The actual arrival speed in this step is the same as the actual arrival speed in step S500.

[0117] Reference Figure 7 The steps for generating the instantaneous velocity of the sample liquid based on the subspace dust mass, subspace dust velocity, and actual initial velocity include: Step S700: Calculate the product of the subspace dust mass and the subspace dust velocity to generate the subspace loss momentum.

[0118] Among them, the momentum loss in the subspace refers to the momentum loss of the sample liquid droplet due to collision, friction and other effects when it exchanges momentum with the suspended dust in a unit falling subspace. It is obtained by calculating the product of the mass and velocity of the dust in the subspace, and provides data support for the final liquid momentum.

[0119] Step S701: Calculate the product of the actual initial velocity and the preset subspace liquid mass to generate the initial momentum of the liquid.

[0120] The subspace liquid mass refers to the total mass of sample liquid droplets contained in a unit falling subspace. It is obtained by calculating the product of the pre-set spray flow rate per unit time, the density of the sample liquid, and the residence time of the droplets in the subspace, providing data support for obtaining the initial momentum of the liquid.

[0121] Initial liquid momentum refers to the momentum value of a sample liquid droplet in a unit falling subspace when it moves at its actual initial velocity. It is obtained by calculating the product of the actual initial velocity and the mass of the liquid in the subspace, and provides data support for the subsequent final liquid momentum.

[0122] Step S702: Calculate the difference between the initial momentum of the liquid and the momentum lost in the subspace to generate the final liquid momentum.

[0123] The final liquid momentum refers to the remaining momentum value of the sample liquid droplet after momentum exchange with the dust in a unit falling subspace. It is obtained by calculating the difference between the initial liquid momentum and the momentum lost in the subspace, providing data support for calculating the instantaneous velocity of the liquid.

[0124] Step S703: Calculate the quotient of the final liquid momentum and the liquid mass in the subspace to generate the instantaneous liquid velocity.

[0125] In this process, after determining the final liquid momentum, the instantaneous velocity of the liquid is obtained by calculating the quotient of the final liquid momentum and the liquid mass in the subspace, which provides data support for calculating the actual arrival velocity.

[0126] Based on the same inventive concept, embodiments of this application provide a spraying parameter control system for a micro-liquid continuous spraying device, including: The acquisition module is used to acquire the actual initial velocity of the sample liquid, the material dust parameters of the sample material, the actual droplet volume of the sample liquid, and the initial viscosity of the liquid; A memory for storing programs for controlling the spraying parameters of a continuous micro-liquid spraying device; The processor and memory are programs that can be loaded and executed by the processor to implement the spraying parameter control method of the micro-liquid continuous spraying device.

[0127] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0128] This application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed to control the spraying parameters of a micro-liquid continuous spraying device.

[0129] Computer storage media include, for example, USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media that can store program code.

[0130] Based on the same inventive concept, this application provides a smart terminal, including a memory and a processor. The memory stores a computer program that can be loaded by the processor and executed to control the spraying parameters of a micro-liquid continuous spraying device.

[0131] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0132] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A method of controlling spray parameters of a micro-liquid continuous spray device, characterized by, include: The preset conveying device is controlled to transport the preset sample material to the preset spraying device, and the spraying device is controlled to spray the preset sample liquid onto the sample material according to the preset target speed. The actual initial velocity of the collected sample liquid; Determine whether the actual initial velocity is not less than the target velocity; If so, continue to collect the actual initial velocity of the sample liquid and perform cyclical judgment; If not, the spraying device is pre-treated by the preset pre-treatment device according to the actual initial speed to update the actual initial speed of the sample liquid. Collect the dust parameters of the sample material; The actual initial velocity is corrected based on the material dust parameters to generate the actual corrected velocity of the sample liquid; The spraying device is controlled to spray the sample liquid onto the sample material based on the actual correction speed.

2. The spraying parameter control method of the micro-liquid continuous spraying device according to claim 1, characterized in that, The steps of pre-treating the spraying device according to the actual initial velocity to update the actual initial velocity of the sample liquid include: The pretreatment device is controlled to pretreat the spraying device to obtain a non-clogging spraying device. Collect the actual droplet volume and initial viscosity of the sample liquid; The actual droplet volume and initial viscosity of the liquid are analyzed to generate a clogging risk value; Determine whether the congestion risk value is not greater than the preset congestion risk threshold; If so, continue to collect the actual droplet volume and initial viscosity of the sample liquid for cyclical judgment; If not, the initial viscosity of the liquid is analyzed to generate the target droplet volume of the sample liquid; The pretreatment device processes the sample liquid based on the target droplet volume to update the actual initial velocity of the sample liquid.

3. The spraying parameter control method of the micro-liquid continuous spraying device according to claim 2, characterized in that, The steps for obtaining a non-clogging spraying device after pre-treating the spraying device by the control pre-treatment device include: The target velocity and the actual initial velocity are analyzed to generate a blockage correlation factor; The congestion-flow correlation coefficient is found in the preset congestion-flow mapping table based on the congestion correlation factor; Calculate the product of the blockage flow correlation coefficient, the blockage correlation factor, and the preset purge gas flow rate to generate the gas compensation flow rate; Calculate the sum of the gas compensation flow rate and the purge gas flow rate to generate the gas correction flow rate; The spraying device is purged using a gas-corrected flow control pretreatment device to obtain a clog-free spraying device.

4. The spraying parameter control method of the micro-liquid continuous spraying device according to claim 2, characterized in that, The steps for analyzing the initial viscosity of the liquid to generate the target droplet volume of the sample liquid include: Calculate the quotient between the initial viscosity of the liquid and the preset critical viscosity of the liquid to generate the liquid viscosity deviation coefficient; Calculate the quotient between the actual droplet volume and the preset reference droplet volume to generate the droplet volume deviation coefficient; The liquid viscosity deviation coefficient and droplet volume deviation coefficient are analyzed to generate coupling correction coefficients; Calculate the product of the coupling correction coefficient and the reference droplet volume to generate the target droplet volume of the sample liquid.

5. The spraying parameter control method of the micro-liquid continuous spraying device according to claim 1, characterized in that, The steps for correcting the actual initial velocity based on material dust parameters to generate the actual corrected velocity of the sample liquid include: The material dust parameters and actual initial velocity are analyzed to generate the actual arrival velocity of the sample liquid; Determine whether the actual arrival speed is consistent with the preset baseline spraying speed; If so, the actual initial velocity will be directly defined as the actual corrected velocity; If not, calculate the difference between the reference spraying speed and the actual arrival speed to generate the speed compensation amount; The sum of the velocity compensation and the actual initial velocity is calculated to generate the actual corrected velocity of the sample liquid.

6. The spraying parameter control method of the micro-liquid continuous spraying device according to claim 5, characterized in that, The steps for analyzing material dust parameters and actual initial velocities to generate the actual arrival velocity of the sample liquid include: Determine the dust mass and dust velocity in the subspace based on the material dust parameters; The instantaneous velocity of the sample liquid is generated based on the subspace dust mass, subspace dust velocity, and actual initial velocity. The instantaneous velocity of the liquid and the preset subspace descent height are analyzed to generate the actual arrival velocity of the sample liquid.

7. The spraying parameter control method of the micro-liquid continuous spraying device according to claim 6, characterized in that, The steps for generating the instantaneous velocity of the sample liquid based on the subspace dust mass, subspace dust velocity, and actual initial velocity include: Calculate the product of subspace dust mass and subspace dust velocity to generate subspace loss momentum; Calculate the product of the actual initial velocity and the preset subspace liquid mass to generate the initial momentum of the liquid; The difference between the initial momentum of the liquid and the momentum lost in the subspace is calculated to generate the final liquid momentum; Calculate the quotient of the final liquid momentum and the liquid mass in the subspace to generate the instantaneous liquid velocity.

8. A spraying parameter control system for a micro-liquid continuous spraying device, characterized in that, include: The data acquisition module is used to collect actual initial velocity and material dust parameters; A memory for storing a program for controlling the spraying parameters of the micro-liquid continuous spraying apparatus as described in any one of claims 1 to 7; The processor and the program in the memory can be loaded and executed by the processor to implement the spraying parameter control method of the micro-liquid continuous spraying device as described in any one of claims 1 to 7.

Images