Mixing uniformity determination method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of battery production, in particular to a method and device for determining the uniformity of a mixed material, computer equipment and a storage medium, and the method for determining the uniformity of the mixed material comprises the following steps: obtaining an electron microscope image obtained by carrying out element scanning on the mixed material, and marking the positions of various elements in the electron microscope image; dividing the electron microscope image into a plurality of areas; and determining the uniformity of the mixed material according to the distribution conditions of the multiple elements in the multiple areas. The method is simple and visual, characterizes from an electron microscope image, supports the accuracy of the method from the microscopic level, and is more scientific and reliable than a visual macroscopic judgment method and other macroscopic judgment methods.

Description

Technical Field

[0001] The present invention relates to the technical field of battery production, and particularly relates to a method, device, computer device and storage medium for determining the mixing uniformity. Background Art

[0002] In the preparation process of dry electrodes for solid-state batteries, whether different active material components (such as lithium iron phosphate, ternary materials, etc.) are mixed evenly with each other and between the main material and auxiliary materials (such as binders, conductive agents) will directly affect the capacity and performance stability of solid-state batteries. The main reason is that the contact between the active substance and the conductive agent will affect the impedance of the mass transfer interface, further affecting the capacity of the active material and the rate performance of the battery. Moreover, if the dispersion of each material is poor, it will lead to an increase in the polarization effect inside the battery, further resulting in a rapid decay of the battery capacity and a decrease in the cycle life.

[0003] Currently, after dry electrode mixing in the industry, the method for judging the mixing degree of the powder is visual inspection, that is, the mixing effect is determined by the color of the powder after mixing. This method for macroscopically judging the mixing uniformity of the powder depends on the experience of the operator and cannot be quantified, which is not conducive to the formulation of process evaluation indicators for the dry electrode mixing process and engineering management. Summary of the Invention

[0004] In view of this, the present invention provides a method, device, computer device and storage medium for determining the mixing uniformity to quantitatively determine the mixing uniformity.

[0005] In a first aspect, the present invention provides a method for determining the mixing uniformity, including the following steps: obtaining an electron microscope image obtained by elemental scanning of the mixture, where the positions of multiple elements are marked in the electron microscope image; dividing the electron microscope image into multiple regions; and determining the mixing uniformity of the mixture according to the distribution of multiple elements in the multiple regions.

[0006] The present invention obtains an electron microscope image marked with the positions of multiple elements obtained by elemental scanning of the mixture, divides the electron microscope image into multiple regions, and further can determine the mixing uniformity of the mixture according to the distribution of multiple elements in the multiple regions. By using the method for determining the mixing uniformity provided by the present invention, the mixing uniformity of dry electrodes can be determined quantitatively without relying on the experience of operators, and thus the process evaluation indicators in dry electrode mixing can be formulated, and engineering management of dry electrode mixing can be carried out. Further, since the physical information excited by the electron microscope image corresponds one-to-one with the atomic structure inside the material, the method for determining the mixing uniformity provided by the present invention has extremely high directivity and accuracy.

[0007] In an alternative embodiment, determining the uniformity of the mixed material according to the distribution of multiple elements in multiple regions includes the following steps: calculating the marked quantity of each element in each region respectively; obtaining the coefficient of variation of each element according to the marked quantity of each element in each region; and determining the uniformity of the mixed material according to the coefficient of variation of each element.

[0008] Thus, the uniformity of the mixed material can be accurately determined.

[0009] In an alternative embodiment, obtaining the coefficient of variation of each element according to the marked quantity of each element in each region includes the following steps: for any element A, determining the average value of element A in multiple regions according to the marked quantity of element A in each region; calculating the standard deviation of element A in multiple regions according to the marked quantity of element A in each region and the average value of element A in multiple regions; obtaining the coefficient of variation of element A according to the standard deviation of element A in multiple regions; and traversing multiple elements to obtain the coefficient of variation of each element.

[0010] Thus, the coefficient of variation of each element can be accurately obtained.

[0011] In an alternative embodiment, determining the uniformity of the mixed material according to the coefficient of variation of each element includes the following steps: selecting the maximum value among the coefficients of variation of each element; and determining the uniformity of the mixed material according to the maximum value.

[0012] That is to say, taking the maximum value among multiple coefficients of variation to represent the uniformity not only conforms to the objective facts better, but also has a more stringent evaluation and is more conducive to the improvement of the mixing process.

[0013] In an alternative embodiment, the electron microscope image is a color electron microscope image, and each color in the color electron microscope image represents an element.

[0014] Thus, the image marking function of a scanning electron microscope (SEM) or a transmission electron microscope (TEM) can be used to mark the element positions with color pixels.

[0015] In an alternative embodiment, calculating the marked quantity of each element in each region respectively includes the following steps: respectively counting the RGB values of each pixel point in each region; and obtaining the marked quantity of each element in each of the regions according to the RGB values of each pixel point in each region.

[0016] Thus, the marked quantity of each element in each of the regions can be accurately obtained.

[0017] In a second aspect, the present invention also provides an apparatus for determining the mixing uniformity, including an electron microscope image acquisition module, a region division module, and a uniformity determination module; the electron microscope image acquisition module is configured to acquire an electron microscope image obtained by element scanning of the mixture, wherein the positions of various elements are marked in the electron microscope image; the region division module is configured to divide the electron microscope image into multiple regions; and the uniformity determination module is configured to determine the mixing uniformity according to the distribution of various elements in the multiple regions.

[0018] In a third aspect, the present invention also provides a computer device, including a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the method for determining the mixing uniformity according to the first aspect or any corresponding embodiment thereof.

[0019] In a fourth aspect, the present invention also provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the method for determining the mixing uniformity according to the first aspect or any corresponding embodiment thereof.

[0020] In a fifth aspect, the present invention also provides a computer program product, including computer instructions, and the computer instructions are used to cause a computer to execute the method for determining the mixing uniformity according to the first aspect or any corresponding embodiment thereof. Description of the Drawings

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

[0022] Figure 1 is a flowchart of the method for determining the mixing uniformity according to an embodiment of the present invention;

[0023] Figure 2 is a flowchart of another method for determining the mixing uniformity according to an embodiment of the present invention;

[0024] Figure 3 is a flowchart of an example of the method for determining the mixing uniformity according to an embodiment of the present invention;

[0025] Figure 4 is a scanning electron microscope image and the corresponding element distribution diagram in an example of the method for determining the mixing uniformity according to an embodiment of the present invention;

[0026] Figure 5is an image after dividing the element distribution map in an example of the method for determining the mixing uniformity according to an embodiment of the present invention into 4 regions; Figure 4 ;

[0027] Figure 6 is a structural block diagram of the device for determining the mixing uniformity according to an embodiment of the present invention;

[0028] Figure 7 is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed implementation manners

[0029] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0030] According to an embodiment of the present invention, an embodiment of a method for determining the mixing uniformity is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0031] In this embodiment, a method for determining the mixing uniformity is provided, which can be used in a computer device. Figure 1 is a flowchart of the method for determining the mixing uniformity according to an embodiment of the present invention. As Figure 1 shown, the process includes the following steps:

[0032] Step S101: Obtain an electron microscope image obtained by scanning a mixed material for elements, where the positions of multiple elements are marked in the electron microscope image.

[0033] In the embodiment, the mixture can be understood as a mixture composed of different materials. In the preparation process of the dry electrode, the materials involved include a main material, a binder and a conductive agent, wherein the main material can be lithium iron phosphate, lithium nickelate / lithium cobaltate / lithium manganate ternary material (NCM); the binder can be polyvinylidene fluoride, polytetrafluoroethylene, etc. The mixture can be composed of multiple main materials with different active material components, can be composed of main materials and auxiliary materials, and can also be composed of different auxiliary materials. The multiple elements in the electron microscope image can be the characteristic elements of each material in the mixture. Specifically, the characteristic elements of each material in the mixture are different. For example, Fe, P or Li are selected as the characteristic elements of lithium iron phosphate; Ni, Co or Mn are selected as the characteristic elements of lithium nickelate / lithium cobaltate / lithium manganate ternary materials; F is selected as the characteristic element of polyvinylidene fluoride or polytetrafluoroethylene. It should be noted that one material in the mixture can select one characteristic element or multiple characteristic elements. By using a scanning electron microscope or a transmission electron microscope to take electron microscope images, the position of characteristic elements can be marked in the electron microscope image, and the uniformity of the mixture can be characterized based on the position of the characteristic elements in the electron microscope image.

[0034] In an optional embodiment, the electron microscope image can be obtained using a scanning electron microscope or a transmission electron microscope.

[0035] Scanning electron microscopy or transmission electron microscopy is a material characterization method that uses a focused high-energy electron beam to interact with the scanned material to stimulate the material's physical information, which is then collected, amplified, and imaged. The stimulated physical information corresponds one-to-one with the material's internal atomic structure, and therefore has extremely high directivity and accuracy. The instrument's built-in element scanning function can directly present element distribution information on the image, allowing for intuitive characterization of the composition and position of each powder material.

[0036] Step S102: Divide the electron microscope image into multiple regions.

[0037] In an optional embodiment, the electron microscope image can be divided into a plurality of regions of equal area.

[0038] Step S103: determining the uniformity of the mixture according to the distribution of the multiple elements in the multiple regions.

[0039] This embodiment obtains an electron microscope image of the locations of multiple elements by performing element scanning on the mixture, and divides the electron microscope image into multiple regions. The uniformity of the mixture can be further determined based on the distribution of the multiple elements in the multiple regions. Using the method for determining the uniformity of the mixture provided by the present invention, the uniformity of the mixture can be quantitatively determined in the dry electrode mixture without relying on the operator's experience, and process evaluation indicators can be formulated for the dry electrode mixture, allowing engineering management of the dry electrode mixture.

[0040] It should be noted that in other industries such as pharmaceuticals, food, chemicals and other fields, the method for detecting mixing uniformity is to determine the mixing uniformity by using a near-infrared spectrometer to obtain spectral data of each spectral collection point at different mixing times after sampling at different positions in the mixed sample, or by measuring the dielectric constant of the mixed powder and comparing it with the calculated theoretical value to judge the mixing uniformity of the material. However, the above methods all have the problem of complex operation or calculation process, and under multi-component conditions, both the spectrum and the dielectric constant will be affected by multiple factors, and there is no one-to-one correspondence with the detected substance, and it is impossible to effectively characterize the mixing uniformity of the material. The method for determining the uniformity of the mixture provided in this embodiment determines the uniformity of the mixture based on the electron microscope image. Since the physical information excited by the electron microscope image corresponds one-to-one with the internal atomic structure of the material, it has extremely high directivity and accuracy, that is, it can accurately reflect the uniformity of the mixture.

[0041] In this embodiment, a method for determining mixing uniformity is provided, which can be used in computer equipment. Figure 2 FIG. 1 is a flow chart of another method for determining mixing uniformity according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0042] Step S201: obtaining an electron microscope image obtained by performing element scanning on the mixture, wherein the positions of various elements are marked in the electron microscope image.

[0043] In an optional embodiment, the electron microscope image is a color electron microscope image, in which each color represents a different element. Specifically, after mixing the dry blend, a random portion of the powder is sampled from the barrel and scanned under a scanning electron microscope or transmission electron microscope. Using the surface analysis function of the scanning electron microscope or transmission electron microscope, a random area of the sample is scanned. The element positions are then marked with colored pixels using the image marking function of the electron microscope imaging software, with different colors corresponding to different elements. For the scanned material, simply identifying its characteristic element allows the pixel distribution to represent the material distribution.

[0044] Step S202: Divide the electron microscope image into multiple regions.

[0045] In an optional embodiment, the obtained electron microscope image with element distribution can be divided into n (n≥2) regions of equal size. The number of a certain specific pixel in each region can be counted according to the RGB value of each pixel in the marked image, and recorded separately. The same element in different regions can be compared to calculate the degree of fluctuation.

[0046] Step S203: determining the uniformity of the mixture according to the distribution of the multiple elements in the multiple regions.

[0047] In an alternative embodiment, determining the uniformity of the mixed material according to the distribution of multiple elements in multiple regions includes steps S2031 to S2033.

[0048] Step S2031: Calculate the marked quantity of each element in each region respectively.

[0049] Specifically, calculating the marked quantity of each element in each region includes the following steps: respectively count the RGB values of each pixel point in each region; obtain the marked quantity of each element in each of the regions according to the RGB values of each pixel point in each region.

[0050] Step S2032: Obtain the coefficient of variation of each element according to the marked quantity of each element in each region.

[0051] In an alternative embodiment, obtaining the coefficient of variation of each element in multiple regions according to the marked quantity of each element in each region includes steps Sa1 to Sa4.

[0052] Step Sa1: For any element A, determine the average value of element A in multiple regions according to the marked quantity of element A in each region.

[0053] Specifically, the average value of element A in multiple regions can be calculated using the following formula 1.

[0054]

[0055] In formula 1, represents the average value of element A in multiple regions, a1 represents the marked quantity of element A in region 1, a2 represents the marked quantity of element A in region 2... a n represents the marked quantity of element A in region n; n represents the number of regions into which the electron microscope image is divided.

[0056] Step Sa2: Calculate the standard deviation of element A in multiple regions according to the marked quantity of element A in each region and the average value of element A in multiple regions.

[0057] Specifically, the standard deviation of element A in each region can be calculated using the following formula 2.

[0058]

[0059] In formula 2, σ a represents the standard deviation of element A in multiple regions, a i represents the marked quantity of element A in region i, represents the average value of element A in multiple regions.

[0060] Step Sa3: Obtain the coefficient of variation of element A based on the standard deviation of element A in multiple regions.

[0061] Specifically, the coefficient of variation of element A can be calculated using the following formula 3.

[0062]

[0063] In formula 3, η a represents the coefficient of variation of element A, and σ a represents the standard deviation of element A in multiple regions, and represents the average value of element A in multiple regions.

[0064] Step Sa4: Traverse multiple elements to obtain the coefficient of variation of each element.

[0065] Traverse multiple elements to obtain the coefficient of variation of each element. The smaller η a , the more uniform the distribution of substance A.

[0066] Step S2033: Determine the uniformity of the mixed material based on the coefficient of variation of each element.

[0067] For example, divide an electron microscope image with element markings into n equal-sized regions. Among them, there are a1 pixel points of element A in region 1, a2 pixel points of element A in region 2, and so on until the number of pixel points of element A in all regions is counted. It should be noted that for the same image, the more regions are divided, the higher the accuracy of the obtained uniformity. Subsequently, based on the data set (a1, a2,..., an), the coefficient of variation η of element A in the scanning range is calculated using the above formulas 1 - 3 a . Suppose the mixture includes four elements A, B, C, and D. Using the same method as calculating the variation of element A, the coefficient of variation η of element B, b the coefficient of variation η of element C, c and the coefficient of variation η of element D d are obtained respectively.

[0068] In an alternative embodiment, determining the uniformity of the mixed material based on the coefficient of variation of each element includes steps Sb1 - step b2.

[0069] Step Sb1: Select the maximum value among the coefficients of variation of each element.

[0070] Step Sb2: Determine the uniformity of the mixed material based on the maximum value.

[0071] Taking a color electron microscope image as an example, the uniformity of the mixed material in this embodiment will be described in detail. As Figure 3 shown, it includes the following five steps:

[0072] 1. Randomly select a mixed solid powder as the measured area and prepare a sample according to the operating requirements of a scanning electron microscope or a transmission electron microscope.

[0073] 2. After magnifying to a certain multiple, lock a certain area, take a picture, and perform elemental surface scanning analysis, and mark different elements with different colors.

[0074] 3. Divide the obtained electron microscope elemental mapping image into several regions with the same area size, and count the pixel points of each color in each region respectively.

[0075] 4. Calculate the distribution of a single element in all regions: Calculate the distribution deviation of the element in different regions according to the average value, standard deviation and coefficient of variation formula of the pixel points in each region to characterize the distribution in this field of view.

[0076] 5. Repeat the above steps to obtain the coefficient of variation of the distribution of different elements, and use the largest coefficient of variation to represent the uniformity of the sample; the smaller the coefficient of variation, the more uniform the distribution of the sample.

[0077] Exemplarily, lithium iron manganese phosphate and NCM ternary material are weighed in a weight ratio of 1:1 and dry-mixed in a stirring barrel. After mixing for 10 minutes, a sample is taken at a random position in the barrel and prepared. It is photographed at 50,000 times using a scanning electron microscope method, and the characteristic element (P) of lithium iron manganese phosphate and the characteristic element (Co) of NCM ternary material are marked for position in the field of view. The image result is as Figure 4 shown. Divide the obtained mapping image into four identical regions, as Figure 5 , and are respectively marked as Region I, Region II, Region III and Region IV. According to the RGB values of the marked pixel points in the image, count the number of P element and Co element pixel points in the four regions respectively. The statistical results are shown in Table 1.

[0078] Table 1

[0079]

[0080] Calculate according to the following formula:

[0081]

[0082] The uniformity of P and Co are obtained as 54.07% and 73.79% respectively. Take the larger value of the two, that is, 73.76% as the uniformity of the sample.

[0083] The method for determining the mixing uniformity provided in this embodiment is not only simple and intuitive, but also characterized from electron microscope images, supporting the accuracy of this method at the microscopic level, and is more scientific and reliable than macroscopic judgment methods such as visual inspection.

[0084] In this embodiment, a device for determining the mixing uniformity is also provided. This device is used to implement the above-mentioned embodiments and preferred implementation manners, and those that have been described will not be repeated. As used hereinafter, the term "module" can be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0085] This embodiment provides a device for determining the mixing uniformity, as Figure 6 shown, including:

[0086] An electron microscope image acquisition module 601, configured to acquire an electron microscope image obtained by performing elemental scanning on the mixed material, where the positions of multiple elements are marked in the electron microscope image.

[0087] A region division module 602, configured to divide the electron microscope image into multiple regions.

[0088] A uniformity determination module 603, configured to determine the mixing uniformity according to the distribution of multiple elements in multiple regions.

[0089] In some alternative implementation manners, the uniformity determination module 603 includes a marker quantity determination unit, a coefficient of variation determination unit, and a uniformity determination unit. The marker quantity determination unit is specifically configured to calculate the marker quantity of each element in each region respectively; the coefficient of variation determination unit is configured to obtain the coefficient of variation of each element according to the marker quantity of each element in each region; the uniformity determination unit is configured to determine the mixing uniformity according to the coefficient of variation of each element.

[0090] In some alternative implementation manners, the coefficient of variation determination unit is specifically configured to: for any element A, determine the average value of element A in multiple regions according to the marker quantity of element A in each region; calculate the standard deviation of element A in multiple regions according to the marker quantity of element A in each region and the average value of element A in multiple regions; obtain the coefficient of variation of element A according to the standard deviation of element A in multiple regions; traverse multiple elements to obtain the coefficient of variation of each element.

[0091] In some alternative implementation manners, the uniformity determination unit is specifically configured to: select the maximum value among the coefficients of variation of each element; determine the mixing uniformity according to the maximum value.

[0092] In some alternative embodiments, the electron microscope image is a color electron microscope image, and each color in the color electron microscope image represents an element.

[0093] The further function descriptions of the above-mentioned various modules and units are the same as those in the corresponding above embodiments, and will not be elaborated here.

[0094] The device for determining the mixing uniformity in this embodiment is presented in the form of functional units. Here, the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0095] An embodiment of the present invention further provides a computer device having the above-mentioned Figure 6 device for determining the mixing uniformity as shown.

[0096] Please refer to Figure 7 , Figure 7 which is a schematic structural diagram of a computer device provided by an alternative embodiment of the present invention. As shown in Figure 7 , the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (such as an array of servers, a set of blade servers, or a multi-processor system). Figure 7 In

[0097] Processor 10 can be a central processing unit, a network processor, or a combination thereof. Among them, processor 10 can further include a hardware chip. The above-mentioned hardware chip can be an application specific integrated circuit, a programmable logic device, or a combination thereof. The above-mentioned programmable logic device can be a complex programmable logic device, a field programmable gate array, a general array logic, or any combination thereof.

[0098] Among them, the memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0099] The memory 20 may include a program storage area and a data storage area. Among them, the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 may optionally include a memory remotely provided with respect to the processor 10, and these remote memories may be connected to the computer device through a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0100] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, a hard disk, or a solid-state drive; the memory 20 may further include a combination of the above types of memory.

[0101] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30, and the output device 40 may be connected through a bus or other means. Figure 7 Taking connection through a bus as an example.

[0102] The input device 30 may receive input digital or character information and generate key signal inputs related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (such as an LED), and a tactile feedback device (such as a vibration motor), etc. The above-mentioned display device includes, but is not limited to, a liquid crystal display, a light-emitting diode, a display, and a plasma display. In some alternative embodiments, the display device may be a touch screen.

[0103] Embodiments of the present invention also provide a computer-readable storage medium. The method according to the embodiments of the present invention can be implemented in hardware, firmware, or can be implemented as computer code that is recordable on a storage medium, or can be implemented as computer code that is originally stored in a remote storage medium or a non-transitory machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the methods described herein can be stored as such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by the computer, the processor, or the hardware, the methods shown in the above embodiments are implemented.

[0104] A part of the present invention can be applied as a computer program product, such as computer program instructions. When executed by a computer, through the operation of the computer, the methods and / or technical solutions according to the present invention can be called or provided. Those skilled in the art should be able to understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Herein, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to the computer.

[0105] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for determining the mixing uniformity, characterized in that, Comprising: Obtaining an electron microscope image obtained by performing elemental scanning on a mixed material, wherein the positions of multiple elements are marked in the electron microscope image; Dividing the electron microscope image into multiple regions; Determining the uniformity of the mixed material according to the distribution of multiple elements in multiple regions.

2. The method according to claim 1, characterized in that, The determining the uniformity of the mixed material according to the distribution of multiple elements in multiple regions includes: Calculating the marked quantity of each element in each region respectively; Obtaining the coefficient of variation of each element according to the marked quantity of each element in each region; Determining the uniformity of the mixed material according to the coefficient of variation of each element.

3. The method according to claim 2, characterized in that The obtaining the coefficient of variation of each element according to the marked quantity of each element in each region includes: For any element A, determining the average value of the element A in multiple regions according to the marked quantity of the element A in each region; Calculating the standard deviation of the element A in multiple regions according to the marked quantity of the element A in each region and the average value of the element A in multiple regions; Obtaining the coefficient of variation of the element A according to the standard deviation of the element A in multiple regions; Traversing multiple elements to obtain the coefficient of variation of each element.

4. The method according to claim 2, characterized in that, The determining the uniformity of the mixed material according to the coefficient of variation of each element includes: Selecting the maximum value among the coefficients of variation of each element; Determining the uniformity of the mixed material according to the maximum value.

5. The method according to any one of claims 2 to 4, characterized in that The electron microscope image is a color electron microscope image, and each color in the color electron microscope image represents one element.

6. The method according to claim 5, wherein The calculating the marked quantity of each element in each region respectively includes: Statistically counting the RGB values of each pixel point in each region respectively; Obtaining the marked quantity of each element in each region according to the RGB values of each pixel point in each region.

7. A device for determining the mixing uniformity, characterized in that Comprising: An electron microscope image acquisition module, configured to obtain an electron microscope image obtained by performing elemental scanning on a mixed material, wherein the positions of multiple elements are marked in the electron microscope image; A region division module, configured to divide the electron microscope image into multiple regions; A uniformity determination module, configured to determine the uniformity of the mixed material according to the distribution of multiple elements in multiple regions.

8. A computer device, characterized in that, Comprising: A memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to execute the method for determining the uniformity of the mixed material according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, Computer instructions are stored on the computer-readable storage medium, and the computer instructions are used to cause a computer to execute the method for determining the uniformity of the mixed material according to any one of claims 1 to 6.

10. A computer program product, characterized in that, Comprising computer instructions, the computer instructions are used to cause a computer to execute the method for determining the uniformity of the mixed material according to any one of claims 1 to 6.

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