Liquid drop weight detection method, device and equipment and storage medium

Abstract

The embodiment of the invention provides a liquid drop weight detection method, device and equipment and a storage medium, and the method comprises the steps: collecting a liquid drop image of a liquid drop ejected by an ink jet head according to an image collection device, and determining the volume of the liquid drop; obtaining the current heating temperature of the liquid drop, and determining the current density of the liquid drop according to the current heating temperature of the liquid drop and a pre-constructed density-temperature relation model; and determining the weight of the liquid drop according to the volume of the liquid drop and the current density of the liquid drop. According to the method, the radius of the liquid drop is visually detected based on the liquid drop image, then the volume of the liquid drop is determined, meanwhile, the change of the density of the liquid drop along with the temperature is considered, the current density of the liquid drop is determined based on a pre-constructed density-temperature relation model, and then the weight of the liquid drop is calculated based on the volume and the density of the liquid drop. The cost of the microbalance can be saved, and the detection efficiency can be greatly improved through rapid photographing of the image acquisition device. Meanwhile, the density of the liquid drops is determined according to the temperature, and the accuracy of liquid drop weight calculation is improved.

Description

Technical Field

[0001] The present invention relates to the field of inkjet technology, and particularly to a method, device, equipment and storage medium for detecting the weight of droplets. Background Art

[0002] Inkjet technology sprays ink onto paper in the form of tiny droplets to form text or images. An inkjet head generally consists of hundreds to thousands of nozzles. During the inkjet process, parameters usually need to be adjusted according to different processes. In addition to visually detecting the volume, speed, etc. of the droplets to confirm the integrity of the nozzles and the effect of process adjustment, it is also necessary to measure the weight of the droplets. Since the weight of the droplets is very light, at the nanogram level, usually hundreds or thousands of droplets need to be sprayed and weighed by a microbalance to detect and calculate the average weight of the droplets. This weighing method requires adding an additional microbalance and also requires a supporting mechanism design, with high costs and complex mechanisms; moreover, the detection takes a long time and does not meet the actual production requirements. Summary of the Invention

[0003] Embodiments of the present invention provide a method, device, equipment and storage medium for detecting the weight of droplets, achieving cost savings of the microbalance, and improving detection efficiency and accuracy.

[0004] In a first aspect, an embodiment of the present invention provides a method for detecting the weight of droplets, the method comprising:

[0005] Determining the volume of the droplet according to a droplet image collected by an image acquisition device of the inkjet head;

[0006] Obtaining the current heating temperature of the droplet, and determining the current density of the droplet according to the current heating temperature of the droplet and a pre-constructed density-temperature relationship model;

[0007] Determining the weight of the droplet according to the volume of the droplet and the current density of the droplet.

[0008] In a second aspect, an embodiment of the present invention provides a device for detecting the weight of droplets, the device comprising:

[0009] A volume determination module, configured to determine the volume of the droplet according to a droplet image collected by an image acquisition device of the inkjet head;

[0010] A density determination module, configured to obtain the current heating temperature of the droplet, and determine the current density of the droplet according to the current heating temperature of the droplet and a pre-constructed density-temperature relationship model;

[0011] A weight determination module, configured to determine the weight of the droplet according to the volume of the droplet and the current density of the droplet.

[0012] Thirdly, this embodiment provides a droplet weight detection device, including:

[0013] A point light source and an image acquisition device;

[0014] A controller, which is communicatively connected to the point light source and the image acquisition device respectively. The controller includes:

[0015] At least one processor; and

[0016] A memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program executable by the at least one processor. When the computer program is executed by the at least one processor, the at least one processor can execute the droplet weight detection method according to any embodiment of the present invention.

[0018] Fourthly, this embodiment provides a computer-readable storage medium. The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the droplet weight detection method according to any embodiment of the present invention when executed.

[0019] The embodiments of the present invention provide a droplet weight detection method, device, equipment and storage medium. The method includes: determining the volume of the droplet according to the droplet image collected by the image acquisition device of the inkjet head; obtaining the current heating temperature of the droplet, and determining the current density of the droplet according to the current heating temperature of the droplet and a pre-constructed density-temperature relationship model; determining the weight of the droplet according to the volume of the droplet and the current density of the droplet. The above technical solution visually detects the radius of the droplet based on the droplet image, and then determines the volume of the droplet. At the same time, considering that the density of the droplet changes with temperature, based on the pre-constructed density-temperature relationship model, the current density of the droplet is determined, and then the weight of the droplet is calculated based on the volume and density of the droplet. It can save the cost of the microbalance, and the detection efficiency can be greatly improved by the rapid photographing of the image acquisition device. At the same time, considering that the density of the dripping liquid will change with temperature, combined with the density-temperature relationship model, the current density of the droplet is determined according to the current heating temperature, improving the accuracy of the droplet weight calculation.

[0020] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Description of the Drawings

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0022] Figure 1 It is a schematic flowchart of a method for detecting the weight of a droplet provided in the first embodiment of the present invention;

[0023] Figure 2 It is a schematic flowchart of another method for detecting the weight of a droplet provided in the second embodiment of the present invention;

[0024] Figure 3 It is an example diagram of a droplet image during the execution of a method for detecting the weight of a droplet provided in the second embodiment of the present invention;

[0025] Figure 4 It is a flowchart example diagram of a method for detecting the weight of a droplet in a certain application scenario provided in the second embodiment of the present invention;

[0026] Figure 5 It is a schematic structural diagram of a device for detecting the weight of a droplet provided in the third embodiment of the present invention;

[0027] Figure 6 It is a schematic structural diagram of a device for detecting the weight of a droplet provided in the fourth embodiment of the present invention. Detailed implementation manners

[0028] In order to enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the description, claims and above-mentioned drawings of the present invention are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0030] Embodiment 1

[0031] Figure 1 FIG. is a schematic flow chart of a method for detecting the weight of a droplet provided in Embodiment 1 of the present invention. This method is applicable to the situation of detecting the weight of droplets. This method can be executed by a droplet weight detection device, which can be implemented in the form of hardware and / or software and is generally integrated in an electronic device.

[0032] As Figure 1 shown, a method for detecting the weight of a droplet provided in Embodiment 1 specifically may include the following steps:

[0033] S101. Determine the volume of the droplet according to the droplet image collected by the image acquisition device of the inkjet head.

[0034] It can be understood that during the inkjet process, parameters usually need to be adjusted according to different processes. In addition to detecting the volume, speed, etc. of the droplets to confirm the integrity of the nozzle holes and the effect of process adjustment, it is also necessary to measure the weight of the droplets. The method for detecting the weight of droplets provided in this embodiment can be used for quickly detecting the state of the weight of droplets ejected from the entire row of nozzle holes of an inkjet head in the inkjet industry. In this embodiment, the weight of the droplet is calculated by determining the volume and density of the droplet ejected by the inkjet head, which can save the cost of a microbalance and greatly improve the detection efficiency. This step is used to determine the volume of the droplet ejected by the inkjet head through visual detection.

[0035] Among them, the image acquisition device is used to acquire the image of the ejected droplets during the process of the inkjet head ejecting droplets, which is recorded as the droplet image. Exemplarily, the image acquisition device can adopt a Charge Coupled Device (CCD) camera. A CCD camera is a digital camera with a charge-coupled device image sensor. The execution of this method requires the cooperation of a frequency synchronization controller, an inkjet head, a point light source, and a CCD. In the way of synchronous shooting, the selected CCD is required to have a short exposure time. Preferably, a camera with a shortest exposure time of 1μm and an optical coupling input function is used for quick triggering. It is necessary to fix the trigger point bright light source according to the inkjet frequency of the print head and synchronously trigger the camera to take pictures.

[0036] The image acquisition device acquires the droplet image of the droplets ejected by the inkjet head. This process can be regarded as a sampling process of the droplets. Furthermore, the radius of the droplets in the droplet image can be determined by visual detection. Based on the known droplet radius, the volume of the droplets can be calculated.

[0037] S102. Obtain the current heating temperature of the droplet, and determine the current density of the droplet according to the current heating temperature of the droplet and the pre-constructed density-temperature relationship model.

[0038] Considering that at different heating temperatures, the density of the droplets will also change with the temperature. And during the inkjet process, it is necessary to adjust different heating temperatures according to the process requirements. Therefore, it is necessary to detect the density of the droplets at different heating temperatures. According to the material temperature characteristics of different inks, the manufacturer provides a density table at different temperatures. Since the temperature and density show a non-linear relationship, the temperature and density can be fitted to obtain the relationship model between density and temperature, which is recorded as the density-temperature relationship model. In this embodiment, for the material of the ink used in the inkjet, its corresponding density-temperature relationship model is pre-constructed. Based on this, the current heating temperature of the droplet can be obtained by communicating with the inkjet software. Then, combined with the pre-constructed density-temperature relationship model, substituting the current heating temperature into the density-temperature relationship model, the density of the droplet at this heating temperature can be obtained, which is recorded as the current density of the droplet.

[0039] It should be noted that there are no specific restrictions on the execution steps of steps S101 and S102. For example, step S101 can be executed first and then step S102, or step S102 can be executed first and then step S101, or steps S101 and S102 can be executed simultaneously.

[0040] S103. Determine the weight of the droplet according to the volume of the droplet and the current density of the droplet.

[0041] In this embodiment, after determining the volume of the droplet and the current density of the droplet, the weight of the droplet can be calculated according to the volume calculation formula. Specifically, multiply the volume of the droplet, the current density of the droplet, and the acceleration due to gravity, and use the multiplication result as the weight of the droplet.

[0042] It can be understood that the weight of each droplet can be calculated through the above steps. By repeating the above steps S101 - S103, the weight of the droplets ejected from each nozzle of an inkjet head can be calculated. Exemplarily, taking an inkjet head with 1024 nozzles as an example for illustration, the inkjet head has 4 rows of nozzles, with 256 nozzles in each row. Each time the image acquisition device detects 4 nozzles, then it needs to move 256 / 4 = 64 times to detect one row of nozzles. Repeating the above logic, the weights of other droplets can be obtained. Since the volume of the droplets is detected by sampling and flying shooting, the execution efficiency is high, and the volumes of all droplets can be detected within 90 s, and the weights of the droplets can be calculated synchronously.

[0043] The above technical solution is based on the droplet image to visually detect the radius of the droplet, and then determine the volume of the droplet. At the same time, considering that the density of the droplet changes with temperature, based on the pre - constructed density - temperature relationship model, the current density of the droplet is determined, and then the weight of the droplet is calculated based on the volume and density of the droplet. It can save the cost of the microbalance, and the detection efficiency can be greatly improved by the rapid photographing of the image acquisition device. At the same time, considering that the density of the liquid drop will change with temperature, combined with the density - temperature relationship model, the current density of the droplet is determined according to the current heating temperature, which improves the accuracy of the droplet weight calculation.

[0044] As an alternative embodiment of the embodiment of the present invention, on the basis of the above - mentioned embodiment, before determining the volume of the droplet, the method can be optimized to further include: triggering the point light source according to the inkjet frequency of the inkjet head, and synchronously triggering the image acquisition device to perform image acquisition on the droplets ejected from the inkjet head.

[0045] In this embodiment, before determining the volume of the droplet, it also includes pre-arranging an image acquisition device and a point light source. The point light source serves to provide brightness, and at the same time, a synchronous controller is required so that when the inkjet head ejects the droplet, it can have a good effect when the image acquisition device acquires the image of the droplet. For example, move the first set of nozzles to the position where they can be detected by the image acquisition device. After the droplets ejected from the first set of nozzles are detected, the second set of nozzles will be moved to the position where they can be detected by the image acquisition device, and so on. Exemplarily, the image acquisition device can be a CCD camera. The execution of this method requires the cooperation of a synchronous controller, an inkjet head, a point light source, and a CCD. Adopting the synchronous shooting method, the selected CCD is required to have a short exposure time. Preferably, a camera with a shortest exposure time of 1um and an optical coupling input function is used for rapid triggering. It is necessary to fix the trigger point of the bright point power supply according to the inkjet frequency of the nozzle and synchronously trigger the camera to take pictures.

[0046] The above technical solution adds the function of image acquisition of droplets, which can realize rapid acquisition of droplets and provides basic data for subsequent calculation of the weight of droplets.

[0047] As another alternative embodiment of the embodiment of the present invention, on the basis of the above embodiment, the construction steps of the density-temperature relationship model can be optimized, including:

[0048] a1) Obtain the density of the ink droplets at different temperatures when leaving the factory.

[0049] Considering that the weight of the droplet can be calculated through the density of the droplet, the volume of the droplet, and the acceleration due to gravity. If calculated directly through the standard density, there will be defects. At different heating temperatures, the density of the droplet will also change with the temperature. And during the inkjet process, different temperatures need to be adjusted according to the process requirements. Thus, it is necessary to detect the density of the droplet at different temperatures. According to the temperature characteristics of different ink materials, the manufacturer provides a density table at different temperatures. Exemplarily, Table 1 is a table showing the relationship between the temperature and density of an ink provided in the first embodiment of the present invention. As shown in Table 1, temperature T1 corresponds to density ρ1, temperature T2 corresponds to density ρ2, etc., which will not be listed one by one here.

[0050] Table 1

[0051] Temperature T1 T2 T3 T4 T5 Density ρ1 ρ2 ρ3 ρ4 ρ5

[0052] b1) Substitute each temperature and the corresponding density into a cubic polynomial for fitting to obtain a density-temperature relationship model characterizing the relationship between the density of the ink droplet and the temperature.

[0053] In this embodiment, there is a non-linear relationship according to temperature and density. It is necessary to fit according to a polynomial model to obtain the density-temperature curve, denoted as the density-temperature relationship model. First, design to use a cubic polynomial model y = a0 + a1x + a2x 2 + a3x 3 to calculate the density-temperature curve, where x represents the variable, y represents the value, and a0, a1, a2, and a3 represent the coefficients respectively.

[0054] Suppose there are N groups of data, and design the independent variable matrix X ∈ R N*4 , where x1, ……, x N represent the variables respectively;

[0055] The coefficient vector a ∈ R 4*1 , a = [a0, a1, a2, a3] T , where a0, a1, a2, and a3 represent the coefficients respectively;

[0056] The value vector y ∈ R N*1 , y = [y1, y2, ..., y N T ,

[0057] Through the normal equation: X T Xa = X T y, it is deduced that a = (X T X) -1 X T y.

[0058] Let the density ρ = y and the temperature T = x, then the relationship model curve between density and temperature can be obtained, denoted as the density-temperature relationship model, expressed as ρ = a0 + a1T + a2T 2 + a3T 3 .

[0059] Preferably, considering that during the spraying and falling process of the droplet, affected by the ambient temperature, the temperature of the droplet may also change. Therefore, the influence factor of the droplet temperature change during the falling process can be further considered. For example, the density of the droplet can be corrected according to the ambient temperature, the current moving distance from the nozzle, the speed of the droplet, or the movement time of the droplet. Based on the influence of the above several parameter variables on the density of the droplet, analyze the algorithm relationship therein as the preferred density-temperature relationship model.

[0060] The above technical solution specifies the construction steps of the density-temperature relationship model. Considering that at different heating temperatures, the density of the droplet also changes with the temperature, fitting the density of the droplet with the temperature to obtain the density-temperature relationship model of the droplet provides a basis for determining the density of the droplet based on the current temperature of the droplet, thereby obtaining a more accurate density of the droplet and improving the accuracy of droplet weight calculation.​

[0061] Example 2

[0062] Figure 2 FIG. is a schematic flow chart of another method for detecting the weight of droplets provided in the second embodiment of the present invention. This embodiment is a further optimization of the above embodiment. In this embodiment, the limitation of "determining the volume of the droplet according to the droplet image collected by the image acquisition device of the inkjet head" is further optimized, and the limitation of "determining the current density of the droplet according to the current heating temperature of the droplet and the pre-constructed density-temperature relationship model" is optimized, and the limitation of "determining the weight of the droplet according to the volume of the droplet and the current density of the droplet" is optimized.

[0063] As Figure 2 shown, the second embodiment of the present invention provides a method for detecting the weight of droplets, which specifically includes the following steps:

[0064] S201. According to the droplet image collected by the image acquisition device of the inkjet head, determine the radius of the droplet.

[0065] In this embodiment, after collecting the droplet image of the inkjet head by the image acquisition device, visual inspection can be performed on the droplet image to determine the radius of the droplet.

[0066] As a specific implementation, the step of determining the radius of the droplet according to the droplet image collected by the image acquisition device of the inkjet head can be optimized, including: calibrating the droplet contained in the droplet image, and determining the radius of the droplet according to the number of pixel points included in the radius of the calibrated droplet and the size of each pixel point.

[0067] Specifically, calibrate the droplet contained in the droplet image, and then the number of pixel points included from the edge to the center of the calibrated droplet can be determined, that is, the number of pixel points included in the radius of the calibrated droplet, denoted as pixel point data. And the size of the pixel point is known. Multiply the length of the pixel point by the number of pixel points, and the result obtained is used as the radius of the droplet.

[0068] Figure 3 FIG. is an example diagram of a droplet image during the execution of a method for detecting the weight of droplets provided in the second embodiment of the present invention. As Figure 3As shown, the image acquisition device can acquire images of four droplets in each field of view. For each droplet, its horizontal axis coordinate (denoted as R in the figure), vertical axis coordinate (denoted as C in the figure), radius (denoted as r in the figure), flying speed (denoted as ver in the figure), volume (denoted as vol in the figure), and roundness (denoted as cir in the figure) can be determined through visual detection. For example, the horizontal axis coordinate of the first droplet is 142.33, the vertical axis coordinate is 117.58, the radius is 0.0155, the flying speed is 0.459, the volume is 15.599, and the roundness is 0.96. Details are not listed one by one here.

[0069] S202. Substitute the radius of the droplet into the volume calculation formula to obtain the volume of the droplet.

[0070] In this embodiment, the droplet can be regarded as a sphere. After knowing the radius of the droplet, the radius can be substituted into the sphere calculation formula to obtain the volume of the droplet. The volume calculation formula can be expressed as: V = (4 / 3) * π * r 3 , where V represents the volume of the droplet and r represents the radius of the droplet.

[0071] S203. Obtain the current heating temperature of the droplet, and substitute the current heating temperature of the droplet into the density-temperature relationship model to obtain the current density of the droplet.

[0072] Specifically, obtain the current heating temperature of the droplet, substitute the current heating temperature of the droplet into the density-temperature relationship model, and obtain the density corresponding to this heating temperature as the current density of the droplet. Exemplarily, assume the density-temperature relationship model is expressed as: ρ = a0 + a1T + a2T 2 + a3T 3 , substitute T as the current heating temperature into the above density-temperature relationship model, and the obtained value of ρ is the current density of the droplet.

[0073] S204. Multiply the volume of the droplet, the current density of the droplet, and the acceleration due to gravity, and use the multiplication result as the weight of the droplet.

[0074] In this embodiment, the exact weight of the droplet can be calculated according to the volume calculation formula. The weight calculation formula can be expressed as W = ρ * V * g, where W represents the weight of the droplet, ρ represents the current density of the droplet, and g represents the acceleration due to gravity. Specifically, multiply the volume of the droplet, the current density of the droplet, and the gravitational angular velocity, and use the multiplication result as the weight of the droplet.

[0075] The above technical solution embodies the steps of determining the volume of a droplet, determining the current density of the droplet, and determining the weight of the droplet. Based on the droplet image, the radius of the droplet is visually detected, and then the volume of the droplet is determined. At the same time, considering that the density of the droplet changes with temperature, based on the pre-constructed density-temperature relationship model, the current density of the droplet is determined, and then the weight of the droplet is calculated based on the volume and density of the droplet. It can save the cost of a microbalance, and the detection efficiency can be greatly improved by the rapid photographing of the image acquisition device. At the same time, considering that the density of the dripping liquid changes with temperature, combined with the density-temperature relationship model, the current density of the droplet is determined according to the current heating temperature, improving the accuracy of droplet weight calculation.

[0076] To more clearly describe the method for detecting the weight of a droplet provided in the embodiments of the present invention, an actual application scenario for detecting the weight of a certain droplet is used as an example for illustration. Exemplarily, Figure 4 As shown in the flowchart of the method for detecting the weight of a droplet in a certain application scenario provided in the second embodiment of the present invention, as Figure 4 shown, the execution steps of the method for detecting the weight of a droplet may specifically include:

[0077] S1. Obtain the densities of ink droplets at different temperatures when leaving the factory.

[0078] S2. Substitute each temperature and the density corresponding to the temperature into a cubic polynomial for fitting to obtain a density-temperature relationship model representing the relationship between the density of the ink droplet and temperature change.

[0079] It should be noted that steps S1 to S2 are pre-executed steps and only need to be executed once for an ink of a certain material.

[0080] S3. Obtain the current heating temperature of the droplet, and determine the current density of the droplet according to the current heating temperature of the droplet and the pre-constructed density-temperature relationship model.

[0081] S4. According to the inkjet frequency of the inkjet head, trigger a point light source and simultaneously trigger an image acquisition device to perform image acquisition on the droplet ejected by the inkjet head.

[0082] S5. Calibrate the dripping liquid contained in the droplet image, and determine the radius of the droplet according to the number of pixel points included in the radius of the calibrated dripping liquid and the size of each pixel point.

[0083] S6. Substitute the radius of the droplet into the volume calculation formula to obtain the volume of the droplet.

[0084] S7. Multiply the volume of the droplet, the current density of the droplet, and the acceleration due to gravity, and use the multiplication result as the weight of the droplet.

[0085] It can be understood that by repeatedly executing the above steps, the volumes of other droplets can be obtained.

[0086] Example 3

[0087] Figure 5 FIG. is a schematic structural diagram of a droplet weight detection device provided in Example 3 of the present invention. The device is applicable to the situation of detecting the weight of droplets. The droplet weight detection device can be implemented in the form of hardware and / or software and is generally integrated in a droplet weight detection device. As Figure 5 shown, the device includes: a volume determination module 31, a density determination module 32, and a weight determination module 33, where

[0088] The volume determination module 31 is configured to determine the volume of the droplet according to the droplet image collected by the image acquisition device of the inkjet head;

[0089] The density determination module 32 is configured to obtain the current heating temperature of the droplet and determine the current density of the droplet according to the current heating temperature of the droplet and a pre-constructed density-temperature relationship model;

[0090] The weight determination module 33 is configured to determine the weight of the droplet according to the volume of the droplet and the current density of the droplet.

[0091] The above technical solution visually detects the radius of the droplet based on the droplet image, and then determines the volume of the droplet. At the same time, considering that the density of the droplet changes with temperature, based on the pre-constructed density-temperature relationship model, the current density of the droplet is determined, and then the weight of the droplet is calculated based on the volume and density of the droplet. It can save the cost of the microbalance, and the detection efficiency can be greatly improved by the rapid photographing of the image acquisition device. At the same time, considering that the density of the dripping liquid will change with temperature, combined with the density-temperature relationship model, the current density of the droplet is determined according to the current heating temperature, improving the accuracy of the droplet weight calculation.

[0092] Optionally, the density determination module 32 is specifically configured to:

[0093] Substitute the current heating temperature of the droplet into the density-temperature relationship model to obtain the current density of the droplet.

[0094] Optionally, the device further includes a model construction module, which is configured to:

[0095] Obtain the density of the ink droplet at different temperatures when leaving the factory;

[0096] Substitute each temperature and the density corresponding to the temperature into a cubic polynomial for fitting to obtain a density-temperature relationship model characterizing the relationship between the density of the ink droplet and temperature change.

[0097] Optionally, the device further includes a trigger module, which is configured to, before determining the volume of the droplet:

[0098] According to the inkjet frequency of the inkjet head, trigger the bright point light source at the trigger point, and synchronously trigger the image acquisition device to acquire images of the droplets ejected by the inkjet head.

[0099] Optionally, the volume determination module 31 includes:

[0100] A radius determination unit, configured to determine the radius of the droplet according to the droplet image acquired by the image acquisition device of the droplets ejected by the inkjet head;

[0101] A volume determination unit, configured to substitute the radius of the droplet into the volume calculation formula to obtain the volume of the droplet.

[0102] Optionally, the radius determination unit is specifically configured to:

[0103] Calibrate the liquid droplets included in the droplet image, and determine the radius of the droplet according to the number of pixel points included in the radius of the calibrated liquid droplets and the size of each pixel point.

[0104] Optionally, the weight determination module 33 is specifically configured to:

[0105] Multiply the volume of the droplet, the current density of the droplet, and the acceleration due to gravity, and use the multiplication result as the weight of the droplet.

[0106] The droplet weight detection device provided by the embodiments of the present invention can execute the droplet weight detection method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0107] Embodiment 4

[0108] Figure 6 It is a schematic structural diagram of an electronic device provided by Embodiment 4 of the present invention. The electronic device is intended to represent various forms of digital computers, such as, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0109] As Figure 6As shown, the electronic device 40 includes at least one processor 41 and a memory communicatively connected to the at least one processor 41, such as a read-only memory (ROM) 42, a random access memory (RAM) 43, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 41 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 42 or the computer program loaded from the storage unit 48 into the random access memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other through a bus 44. The input / output (I / O) interface 45 is also connected to the bus 44.

[0110] Multiple components in the electronic device 40 are connected to the I / O interface 45, including: an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a disk, an optical disc, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0111] The processor 41 can be various general and / or special processing components with processing and computing capabilities. Some examples of the processor 41 include but are not limited to a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 41 executes the various methods and processes described above, such as the method for detecting the droplet weight.

[0112] In some embodiments, the method for detecting the droplet weight can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as the storage unit 48. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 40 via the ROM 42 and / or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the method for detecting the droplet weight described above can be executed. Alternatively, in other embodiments, the processor 41 can be configured to execute the method for detecting the droplet weight by any other appropriate means (e.g., by means of firmware).

[0113] The various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGA), application specific integrated circuits (ASIC), application specific standard products (ASSP), systems on a chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0114] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer programs can be executed entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine, or entirely on the remote machine or server.

[0115] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing.

[0116] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, speech input, or tactile input).

[0117] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected to each other by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0118] A computing system can include a client and a server. The client and the server are generally remote from each other and typically interact through a communication network. The relationship between the client and the server is created by computer programs that run on the respective computers and have a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0119] An embodiment of the present invention also provides a computer program product, including a computer program which, when executed by a processor, implements the method for detecting the weight of a droplet provided in any embodiment of the present invention.

[0120] In the process of implementing a computer program product, computer program code for performing the operations of the present disclosure may be written in one or more programming languages or combinations thereof. The foregoing programming languages include, but are not limited to, object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., by connecting through the Internet using an Internet service provider).

[0121] It should be understood that various forms of the processes shown above may be used, steps may be reordered, added, or deleted. For example, the steps recited in the present invention may be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0122] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for detecting the weight of a droplet, characterized in that, Including: Determine the volume of the droplet according to the droplet image of the droplets ejected by the inkjet head collected by the image acquisition device; Obtain the current heating temperature of the droplet, and determine the current density of the droplet according to the current heating temperature of the droplet and a pre-constructed density-temperature relationship model; Determine the weight of the droplet according to the volume of the droplet and the current density of the droplet.

2. The method according to claim 1, characterized in that The determining the current density of the droplet according to the current heating temperature of the droplet and a pre-constructed density-temperature relationship model includes: Substitute the current heating temperature of the droplet into the density-temperature relationship model to obtain the current density of the droplet.

3. The method according to claim 1, characterized in that The construction steps of the density-temperature relationship model include: Obtain the density of the ink droplets at different temperatures when leaving the factory; Substitute each of the temperatures and the density corresponding to the temperature into a cubic polynomial for fitting to obtain a density-temperature relationship model characterizing the relationship between the density of the ink droplets and the temperature change.

4. The method according to claim 1, wherein Before determining the volume of the droplet, it further includes: Trigger a dot light source according to the inkjet frequency of the inkjet head, and synchronously trigger the image acquisition device to acquire an image of the droplets ejected by the inkjet head.

5. The method according to claim 1, wherein The determining the volume of the droplet according to the droplet image of the droplets ejected by the inkjet head collected by the image acquisition device includes: Determine the radius of the droplet according to the droplet image of the droplets ejected by the inkjet head collected by the image acquisition device; Substitute the radius of the droplet into the volume calculation formula to obtain the volume of the droplet.

6. The method according to claim 5, wherein The determining the radius of the droplet according to the droplet image of the droplets ejected by the inkjet head collected by the image acquisition device includes: Calibrate the droplets included in the droplet image, and determine the radius of the droplet according to the number of pixel points included in the radius of the calibrated droplets and the size of each pixel point.

7. The method according to claim 1, characterized in that The determining the weight of the droplet according to the volume of the droplet and the current density of the droplet includes: Multiply the volume of the droplet, the current density of the droplet, and the acceleration due to gravity, and use the multiplication result as the weight of the droplet.

8. A detection device for the weight of a droplet, characterized in that, Including: A volume determination module for determining the volume of the droplet according to the droplet image of the droplets ejected by the inkjet head collected by the image acquisition device; A density determination module for obtaining the current heating temperature of the droplet and determining the current density of the droplet according to the current heating temperature of the droplet and a pre-constructed density-temperature relationship model; A weight determination module for determining the weight of the droplet according to the volume of the droplet and the current density of the droplet.

9. A detection device for the weight of a droplet, characterized in that, Including: A point light source and an image acquisition device; A controller, which is respectively communicatively connected to the point light source and the image acquisition device, and the controller includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the detection method of the droplet weight as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing a processor to implement the method for detecting the weight of a droplet according to any one of claims 1-7 when executed.

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