Metal fluid casting molding control method and system and linear molding casting equipment

Abstract

The invention discloses a metal fluid casting forming control method and system and linear forming casting equipment, and relates to the technical field of data processing.The metal fluid casting forming control method comprises the steps that casting image data obtained by shooting a cooling platform of the casting equipment is obtained; cutting the casting image data to obtain a target image area representing the cooling platform; determining flow velocity data of the metal fluid on the cooling platform based on the pixel value of the target image area; and if the flow velocity represented by the obtained flow velocity data is out of a preset flow velocity threshold range, the casting speed of the casting equipment is adjusted based on the size relation between the flow velocity and the flow velocity threshold range. By applying the scheme provided by the embodiment of the invention, the safety risk of controlling the casting speed can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a metal fluid casting control method, system and linear casting equipment. Background Art

[0002] At present, in the metallurgical industry, the casting speed of silicon ladle and iron ladle is mostly controlled by on-site personnel during the casting of metal fluid. Due to the close distance to the metal fluid and the high temperature of the metal fluid, there are safety risks when they are too close. Summary of the invention

[0003] The present invention aims to solve one of the technical problems in the related art to at least some extent. To this end, one object of the present invention is to provide a metal fluid casting control method, system and linear casting equipment to reduce the safety risk of controlling the casting speed.

[0004] According to a first aspect of an embodiment of the present invention, a method for controlling metal fluid casting is provided, the method comprising:

[0005] Acquiring casting image data obtained by photographing a cooling platform of a casting device;

[0006] Cutting the casting image data to obtain a target image area representing the cooling platform;

[0007] Determining flow rate data of the metal fluid on the cooling platform based on the pixel value of the target image area;

[0008] If the flow rate represented by the obtained flow rate data is outside the preset flow rate threshold range, the casting speed of the casting equipment is adjusted based on the magnitude relationship between the flow rate and the flow rate threshold range.

[0009] According to a second aspect of an embodiment of the present invention, a metal fluid casting control system is provided, the system comprising: a photographing device, a data processing module, a controller, and a casting device; the system controls the casting speed of the casting device according to the above-mentioned metal fluid casting control method;

[0010] The photographing device is used to obtain casting image data obtained by photographing the cooling platform of the casting equipment; and transmit the casting image data to the data processing module;

[0011] The data processing module is used to crop the casting image data to obtain a target image area representing the cooling platform; determine the flow rate data of the metal fluid on the cooling platform based on the pixel value of the target image area; and transmit the flow rate data to the controller;

[0012] The controller is used to adjust the casting speed of the casting equipment based on the size relationship between the flow rate and the flow rate threshold range if the flow rate represented by the obtained flow rate data is outside the preset flow rate threshold range.

[0013] According to a third aspect of an embodiment of the present invention, there is provided a linear molding casting device, the linear casting device comprising: a storage mechanism, a flow guiding mechanism, a cooling platform, and a casting container;

[0014] The storage mechanism is used to store the metal fluid and transport the stored metal fluid to the flow guiding mechanism; the storage mechanism controls the casting speed of the metal fluid according to the above-mentioned metal fluid casting molding control method;

[0015] The flow guiding mechanism is used to receive the metal fluid delivered by the storage mechanism and introduce the received metal fluid into the cooling platform;

[0016] The cooling platform is used to vibrate when pouring the metal fluid so as to cool and solidify the metal fluid.

[0017] In the solution provided by the embodiment of the present invention, the casting image data is acquired and cropped to obtain the target image area representing the cooling platform, and the flow rate data of the metal fluid on the cooling platform is determined based on the pixel value of the target image area. In this way, the speed of the metal fluid can be determined by image data processing, and there is no need to actually approach the cooling platform for observation and judgment. Moreover, the flow rate threshold range can be used to determine whether the flow rate is too large or too small, and the casting speed can be controlled based on the judgment result. In this way, no manual intervention is required in the process of controlling the speed, thereby reducing safety risks.

[0018] In addition, in the process of implementing the above control method, the thickness of the fluid molding can be controlled by controlling the casting speed. When the position of receiving the metal fluid is fixed, the faster the casting speed, the less likely the metal fluid is to solidify, and accordingly, the thinner the thickness of the fluid molding is. Conversely, the slower the casting speed, the thicker the thickness of the fluid molding is, thereby playing a certain auxiliary control role in the flow rate of the cooling medium.

[0019] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic flow chart of a metal fluid casting and molding control method provided by an embodiment of the present invention;

[0021] Figure 2is a scene schematic diagram of a first image processing method provided by an embodiment of the present invention;

[0022] Figure 3 is a scene schematic diagram of a second image processing method provided by an embodiment of the present invention;

[0023] Figure 4 is a schematic diagram of a scene of a third image processing method provided by an embodiment of the present invention;

[0024] Figure 5 It is a structural schematic diagram of a metal fluid casting and molding control system provided by an embodiment of the present invention;

[0025] Figure 6 It is a structural schematic diagram of a linear forming casting device provided by an embodiment of the present invention;

[0026] Figure 7 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0027] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0028] The following describes the metal fluid casting control method, system and linear casting equipment according to the embodiments of the present invention with reference to the accompanying drawings.

[0029] In one embodiment of the present invention, see Figure 1 , provides a metal fluid casting molding control method, which includes the following steps S101-S104.

[0030] S101: Acquire casting image data obtained by photographing a cooling platform of a casting device;

[0031] The casting equipment is a device for pouring metal fluid. The metal fluid can be a high-temperature metal solution, such as a high-temperature solution of ferroalloy, or the metal fluid can also be a metal-like fluid, such as a high-temperature solution of industrial silicon. The casting equipment pours the metal fluid onto a cooling platform, and the cooling platform vibrates during the casting of the metal fluid to cool and solidify the metal fluid.

[0032] The casting image data may be obtained by shooting with a camera, a webcam or other shooting equipment, and the embodiment of the present invention is not limited thereto. The casting image data may be a whole image represented by a sequence of pixel values.

[0033] S102: cropping the casting image data to obtain a target image area representing the cooling platform;

[0034] For example, cropping can be performed in the following manner: a camera with a fixed relative position to the cooling platform is used for shooting, so that the target image area representing the cooling platform in the casting image data shot each time is always in the same position. In this way, the position of the cooling platform in the image can be determined in advance and the image can be cropped according to the fixed position.

[0035] Alternatively, when the cooling platform and the background in the image have different color and shape characteristics, edge detection and image recognition may be used to obtain the target image area, which is not limited in the embodiment of the present invention.

[0036] In this way, the resulting target image area corresponds to the location of the cooling platform in the image.

[0037] S103: determining flow rate data of the metal fluid on the cooling platform based on the pixel value of the target image area;

[0038] The color change of a metal is caused by the change in the energy level of its electrons. When a metal is excited by a heat source, its electrons are excited into a higher energy level at high temperatures. These electrons in a high energy state absorb more light and have a higher energy. Therefore, when the high energy state electrons return to a lower energy state, they release additional energy, emitting photons in the process. This process is the radiation of light, usually visible light. Therefore, the color change of a metal is caused by the change in the energy level of its electrons.

[0039] The higher the temperature of the metal, the color will change. This is because high temperature will intensify the movement of electrons inside the metal, some chemical bonds will break, and metal ions will begin to be free. At this time, the spectral absorption and emission bandwidth of the metal will increase, and the color will change accordingly. For example, iron is white at high temperature, but black or dark gray at low temperature.

[0040] Theoretically, according to Planck's formula: E = hν, E represents radiation energy, h is Planck's constant, and ν represents light frequency, which explicitly explains the relationship between radiation energy and light frequency. When the metal is cold, most of the electrons are in the ground state and light energy cannot be absorbed, so the metal appears black or dark gray. When the metal is excited by high temperature, the electrons are excited to a higher energy level, so that more light can be absorbed and more light is emitted, making it look brighter and brighter in color. Therefore, the color of the metal changes at high temperature due to the change in its electronic energy level structure.

[0041] It's not just metals that change color with temperature. For example, the color of materials such as tiles, glass, and plastics also changes with temperature. These materials usually have a fixed reflectivity and refractive index, and when they are subjected to high temperatures, these parameters will also change, resulting in a change in color. But in comparison, metals are the most obvious example because their electronic energy levels change very significantly, and the range of spectral absorption and emission is wider than other materials.

[0042] In addition to theoretical principles, some data support can also be used to prove that the color of metals changes with temperature. For example, a study showed that aluminum shows a dark gray or black appearance at high temperatures, which may be related to its electronic structure at high temperatures. In addition, the same large-scale climate study also proved that the color of metals on Earth changes with time and temperature, which suggests that our metal color is sensitive to environmental changes.

[0043] In summary, when metals are excited by high temperatures, their electronic energy level structure changes, resulting in a change in color. This is because the absorption and release of energy affects the wavelength and frequency of light, forming different spectral bands. Although other objects also change color with changes in temperature, metals are the most significant example because their electronic energy level changes are very obvious and their ability to reflect and absorb light is also strong. This phenomenon can be quantitatively analyzed through experiments and mathematical models, so as to deeply study and understand the changes of this phenomenon in different environments.

[0044] In 1893, Wien studied the relationship between the maximum wavelength λmax and temperature T, that is, λmaxT=2898μm·K, so the temperature can be judged according to the color of the fire (i.e., the wavelength of the light). Experience shows: dark red 600℃, red 900℃, orange yellow 1100℃, yellow 1300℃, light yellow 1400℃, yellow-white 1500℃, bright white (slightly yellow) 1600℃. Obviously, when the color of the metal changes, the metal fluids of different temperatures will have different brightness in the captured images.

[0045] Therefore, it can be understood that on the cooling platform, the metal fluid should have a higher brightness than the cooled metal solid. The brightness can be calculated by the pixel value, and then the proportion of high-brightness points in the target image area can be obtained, which can be represented by the average brightness in the following embodiment. The larger the proportion of high-brightness points in the target image, the greater the proportion of the fluid relative to the metal solid, and the flow rate of the metal fluid is obviously greater than the flow rate of the metal solid, so it can be judged that the larger the proportion of high-brightness points, the faster the flow rate.

[0046] In summary, the higher the temperature of the metal, the more violent the atomic vibrations, the more violent the movement of electrons outside the nucleus, and then collisions will occur. The external manifestation of the matter will be brighter, just like the sun, close to white light.

[0047] The higher the temperature of the metal represented by any pixel in the image, the closer the metal represented by this pixel is to the fluid.

[0048] The greater the proportion of high-brightness points in the image, the more fluid there is. In the same time and in the same area, the more fluid there is, the faster the flow rate.

[0049] The method is applicable to the cooling platform. When the cooling platform is vibrating and has a cooling water system, the metal fluid can be quickly cooled. Therefore, the thickness of the fluid crystal is very small, and there will not be a situation where there is fluid below and solid above. Therefore, the brightness can reflect the proportion of the fluid, and thus the flow rate of the metal fluid can be determined.

[0050] Specifically, pixel points may be sampled in the target image region, based on pixel values ​​of the sampled pixel points.

[0051] The pixel values ​​of the target image area can be used to calculate parameters representing color such as brightness or color temperature to determine flow rate data.

[0052] Taking brightness calculation as an example, when the casting image data is color image data, the grayscale value corresponding to the pixel value of the pixel point can be calculated, and the grayscale value can be used to represent the brightness, or the brightness value of any color channel of the pixel point can be calculated to determine the brightness; if it is gray image data, the pixel value of the pixel point is the grayscale value, which can be directly used to represent the brightness.

[0053] For example, the target image area is divided into a preset number of sub-areas, and the sub-area brightness of each sub-area is determined based on the pixel value of each sub-area; and the flow rate data of the metal fluid on the cooling platform is determined based on the sub-area brightness.

[0054] The slower the metal fluid flows and the closer it is to solidification, the lower its temperature and the lower its brightness. According to this situation, the correlation between brightness and flow rate can be obtained, so that the flow rate data can be calculated when the brightness is determined. In addition, through image segmentation, multiple brightness of sub-areas of the target image area can be obtained for calculation, and the reference data is richer and more comprehensive, which can improve the accuracy of calculated brightness.

[0055] Specifically, the average brightness of all sub-areas can be determined; among all sub-areas, a first brightness area with brightness higher than the average brightness is determined, and the flow rate data of the metal fluid on the cooling platform is determined based on the proportional coefficient between the first brightness area and all sub-areas.

[0056] By calculating the average brightness, the influence of excessively high or low brightness in some sub-areas caused by image noise can be reduced.

[0057] The first brightness region refers to a sub-region whose brightness is higher than the average brightness. For example, if the number of first brightness regions is 300 and the number of sub-regions is 1000, the proportional coefficient is 0.3.

[0058] For example, the target image area is divided into a preset number of grids to obtain a preset number of sub-areas. The grids can be set to the same size, and when extracting the brightness, the information in each grid can be integrated, so that the calculated average brightness is more representative.

[0059] Specifically, the target image area can be divided into m*n grids of the same size, and the RGB value of the brightness of the center point of each grid is calculated. The RGB value is between 0 and 255. The higher the brightness, the larger the corresponding RGB value. The RGB value obtained in each grid is used as the sub-region brightness. The average brightness of the sub-region brightness is calculated, that is, the average value of each RGB value.

[0060] The values ​​of m and n may be set manually, for example, to 3*3, 6*6, etc., and the embodiment of the present invention is not limited to this.

[0061] like Figure 2 As shown in the figure, the casting image data is obtained by photographing the cooling platform. Since the metal fluid on the cooling platform has a high brightness, it can be distinguished from the black background in the image. By cropping the casting image data and reducing the background image area, the casting image data is obtained. Figure 3 The target image area is shown. Figure 4 In the figure, the left image shows 9 sub-regions obtained after 3*3 grid segmentation, and the right image shows 36 sub-regions obtained after 6*6 grid segmentation.

[0062] by Figure 4 Taking the 36 sub-regions obtained after the 6*6 grid segmentation as an example, the brightness of the center point in each sub-region is expressed as a value between 0 and 255 as shown in the following Table 1:

[0063] Table 1

[0064]

[0065]

[0066] The average of the brightness values ​​in Table 1 is calculated to be 159, which is taken as the average brightness.

[0067] Alternatively, in addition to calculating the average value, the pixel value representing the target image area may be selected by calculating the median value of the sub-area or other methods, and the flow rate data may be determined based on the calculated brightness;

[0068] In other embodiments, when determining the flow rate data of the metal fluid on the cooling platform based on the sub-region brightness, in addition to using the brightness of all sub-regions, the brightness of part of the sub-regions may also be used.

[0069] For example, the average brightness can be calculated based on the sub-region brightness of some sub-regions. The calculation method is similar to calculating the average brightness of all sub-regions; the above-mentioned partial sub-regions can be a preset number of sub-regions randomly selected from all sub-regions. In this way, when determining the flow rate data, the number of sub-regions that need to be calculated is reduced, and the amount of data processing is correspondingly reduced. For another example, when selecting some sub-regions, the sub-regions whose sub-region brightness is lower than the preset sub-region brightness threshold can be excluded to reduce the impact of extreme values ​​on the average brightness, thereby improving the accuracy of calculating the flow rate, and further, the control accuracy can be improved.

[0070] The specific method of calculating flow rate data can be as follows:

[0071] In one embodiment of the present invention, the flow rate data may be determined in the following manner:

[0072] V velocity = η*a*b*h / T

[0073] Wherein, Vflow rate represents the flow rate data, η represents the proportional coefficient, a represents the length of the cooling platform, b represents the width of the cooling platform, h represents the thickness of the metal fluid on the cooling platform, and T represents unit time.

[0074] The unit time may be calculated in minutes or seconds, etc., and the embodiment of the present invention is not limited to this.

[0075] Since the cooling platform is fixed, the volume change of the material within the entire cooling platform can be obtained as:

[0076] V = 0 ~ a*b*h. 0 means no material, a*b*h means full material.

[0077] Therefore, the approximate fluid volume is Vvolume = η*a*b*h, which is equivalent to when the cooling platform is full of material.

[0078] Accordingly, the fluid volume is divided by T to obtain the above-mentioned V flow rate.

[0079] The correlation between brightness and flow rate is constructed through the above formula, so that the corresponding flow rate data can be obtained when the average brightness is calculated.

[0080] S104: If the flow rate represented by the obtained flow rate data is outside the preset flow rate threshold range, the casting speed of the casting equipment is adjusted based on the relationship between the flow rate and the flow rate threshold range.

[0081] The rate of change of the current can be increased or decreased. Specifically, the flow rate threshold range is determined based on a preset reference flow rate and a speed change range. During actual operation, adjusting the flow rate is affected by factors such as the control precision and response time of the equipment, and it is difficult to keep the flow rate of the finally adjusted metal fluid exactly the same as the reference flow rate. Therefore, a speed change range is added to limit the flow rate of the metal fluid within a certain range, thereby increasing the operability of this solution.

[0082] If the flow rate is less than the difference between the reference flow rate and the speed change range, the casting speed of the casting equipment is increased; if the flow rate is greater than the sum of the reference flow rate and the speed change range, the casting speed of the casting equipment is decreased.

[0083] That is, when the flow rate represented by the flow rate data is expressed as V_raw, when V_raw < V_Set - VΔ, the change in the solenoid valve current will be increased, causing the opening of the solenoid valve to increase, and thus increasing the change amplitude of the tilting angles of the molten iron ladle and the molten silicon ladle;

[0084] When V_raw > V_Set + VΔ, the change in the solenoid valve current will be decreased, causing the opening of the solenoid valve to decrease, and thus decreasing the change amplitude of the tilting angles of the molten iron ladle and the molten silicon ladle.

[0085] In addition, when V_Set - VΔ < V_raw < V_Set + VΔ, the solenoid valve current will be maintained, causing the opening of the solenoid valve to remain unchanged, and thus maintaining the rate of change of the tilting angles of the molten iron ladle and the molten silicon ladle;

[0086] Where V_Set is the reference flow rate, VΔ is the speed change range, and V_Set - VΔ to V_Set + VΔ is the flow rate threshold range.

[0087] V_Set - VΔ < V_raw < V_Set + VΔ means that if the flow rate represented by the obtained flow rate data is within the preset flow rate threshold range, the current remains unchanged.

[0088] In this way, when the flow rate of the metal fluid is too large or too small, according to the solution provided in the embodiments of the present invention, it can be adjusted to the expected flow rate range.

[0089] In the solution provided by the embodiment of the present invention, the casting image data is acquired and cropped to obtain the target image area representing the cooling platform, and the flow rate data of the metal fluid on the cooling platform is determined based on the pixel value of the target image area. In this way, the speed of the metal fluid can be determined by image data processing, and there is no need to actually approach the cooling platform for observation and judgment. Moreover, the flow rate threshold range can be used to determine whether the flow rate is too large or too small, and the casting speed can be controlled based on the judgment result. In this way, no manual intervention is required in the process of controlling the speed, thereby reducing safety risks.

[0090] In addition, in the process of implementing the above control method, the thickness of the fluid molding can be controlled by controlling the casting speed. When the position of receiving the metal fluid is fixed, the faster the casting speed, the less likely the metal fluid is to solidify, and accordingly, the thinner the thickness of the fluid molding is. Conversely, the slower the casting speed, the thicker the thickness of the fluid molding is, thereby playing a certain auxiliary control role in the flow rate of the cooling medium.

[0091] In one embodiment of the present invention, before the casting image data is cropped, the method further includes:

[0092] If the image represented by the casting image data is a color image, the casting image data is modified to image data of a grayscale image corresponding to the color image.

[0093] The brightness in a grayscale image is represented by grayscale values. Compared with the pixel values ​​in a color image, the grayscale value is a single value, which is convenient for statistical calculations such as averaging.

[0094] The conversion method may be based on the maximum value or average value of the RGB values.

[0095] Before cropping, the image is converted into a grayscale image to increase the contrast and facilitate the identification of the cooling platform and the metal fluid.

[0096] In one embodiment of the present invention, the casting speed of the casting device is adjusted in the following manner, including:

[0097] PID parameters are set according to the relationship between the flow rate and the flow rate threshold range, and the current threshold of the solenoid valve of the casting equipment, and the current change rate of the solenoid valve is adjusted based on the PID parameters so that the solenoid valve controls the casting speed of the casting equipment.

[0098] When the PID parameters are set, a control signal can be output through a preset PID program based on the PID parameters, the historical state of the current change, and the expected state, and a modulation signal for adjusting the current change can be output.

[0099] The current threshold setting of the solenoid valve can be used to limit the maximum value of the current change rate controlled by the PID program.

[0100] The above process implements the PID control method. PID control has the advantages of simple principle, strong robustness and wide applicability, and can improve the accuracy of controlling flow rate.

[0101] The casting components are the above-mentioned silicon water ladle, iron water ladle, etc.; the faster the change range of the inclination angle of the casting components, the equivalent of increasing the actual flow rate and improving the casting speed; otherwise, the actual flow rate is reduced and the casting speed is reduced.

[0102] In one embodiment of the present invention, see Figure 5 , and also provides a metal fluid casting and molding control system, the system comprising: a shooting device, a data processing module, a controller, and a casting device; the system controls the casting speed of the casting device according to the metal fluid casting and molding control method described in any one of the aforementioned embodiments.

[0103] The photographing device is used to obtain casting image data obtained by photographing the cooling platform of the casting equipment; and transmit the casting image data to the data processing module;

[0104] The data processing module is used to crop the casting image data to obtain a target image area representing the cooling platform; determine the flow rate data of the metal fluid on the cooling platform based on the pixel value of the target image area; and transmit the flow rate data to the controller;

[0105] The controller is used to adjust the casting speed of the casting equipment based on the size relationship between the flow rate and the flow rate threshold range if the flow rate represented by the obtained flow rate data is outside the preset flow rate threshold range.

[0106] In the solution provided by the embodiment of the present invention, the casting image data is acquired and cropped to obtain the target image area representing the cooling platform, and the flow rate data of the metal fluid on the cooling platform is determined based on the pixel value of the target image area. In this way, the speed of the metal fluid can be determined by image data processing, and there is no need to actually approach the cooling platform for observation and judgment. Moreover, the flow rate threshold range can be used to determine whether the flow rate is too large or too small, and the casting speed can be controlled based on the judgment result. In this way, no manual intervention is required in the process of controlling the speed, thereby reducing safety risks.

[0107] In addition, in the process of implementing the above control method, the thickness of the fluid molding can be controlled by controlling the casting speed. When the position of receiving the metal fluid is fixed, the faster the casting speed, the less likely the metal fluid is to solidify, and accordingly, the thinner the thickness of the fluid molding is. Conversely, the slower the casting speed, the thicker the thickness of the fluid molding is, thereby playing a certain auxiliary control role in the flow rate of the cooling medium.

[0108] The data processing module may be various types of electronic devices such as a mobile terminal, a server, a personal computer, etc., and the embodiment of the present invention is not limited to this.

[0109] In one embodiment of the present invention, Figure 6 As shown, a linear molding casting device is provided, the linear casting device comprising: a storage mechanism 1, a flow guiding mechanism 2, and a cooling platform 3;

[0110] The storage mechanism 1 is used to store metal fluid and transport the stored metal fluid to the guide mechanism 2; the storage mechanism controls the casting speed of the metal fluid according to the metal fluid casting and molding control method described in any one of the aforementioned embodiments.

[0111] The flow guiding mechanism 2 is used to receive the metal fluid delivered by the storage mechanism 1 and introduce the received metal fluid into the cooling platform 3;

[0112] The cooling platform 3 is used to vibrate when pouring the metal fluid so as to cool and solidify the metal fluid.

[0113] As shown in the figure, the storage mechanism 1 can be a boiler for placing casting components such as ladles. The flow guide mechanism 2 includes a flow guide channel 4 and a flow guide groove 5 in the figure. The bottom of the boiler is lifted and tilted by a preset control device or manually, so that the metal fluid pours out and flows into the flow guide groove 5 along the flow guide channel 4, and then enters the cooling platform 3 from the lower end of the flow guide groove 5.

[0114] Referring to the metal fluid casting control method of the aforementioned embodiment, by changing the inclination angle variation range of the storage mechanism 1, the inclination angle variation range of the iron ladle and the silicon ladle can be changed accordingly, thereby controlling the casting speed of the casting metal fluid.

[0115] During this process, the current change rate of the electromagnetic valve of the casting equipment can be adjusted to change the inclination angle change amplitude of the storage mechanism 1.

[0116] The cooling platform 3 is stepped, guiding the metal fluid to flow along a fixed straight line direction. The stepped structure is conducive to the metal fluid on the cooling platform to contact with the air over a larger area, thereby improving the cooling efficiency.

[0117] During casting, a vibration device may be provided below the cooling platform 3 so that the metal fluid is cooled and solidified by vibration and becomes a sheet-like solid at the outlet.

[0118] A crushing roller may be provided in the crushing box 6 at the outlet, and the crushing roller crushes the flake or block solid ferroalloy into particles.

[0119] A water cooling device may also be provided under the cooling platform 3 to assist in heat dissipation.

[0120] A camera is installed at a preset position to photograph the cooling platform 3, so as to obtain the casting image data in the aforementioned step S101 and implement the metal fluid casting molding control method.

[0121] In the process of implementing the above control method, the thickness of the fluid molding can be controlled by controlling the size of the casting speed. The faster the casting speed, the less likely the metal fluid is to solidify, and accordingly, the thinner the thickness of the fluid molding is. Conversely, the slower the casting speed, the thicker the thickness of the fluid molding is, thereby playing a certain auxiliary control role on the flow rate of the cooling medium. Therefore, the present application can be applied to a variety of casting scenarios, such as the casting scenarios of existing ferroalloy automatic casting equipment, etc.

[0122] In one embodiment of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, any of the above-mentioned metal fluid casting control methods is implemented.

[0123] In one embodiment of the present invention, an electronic device is provided, comprising: a memory and a processor; a computer program is stored in the memory, and when the computer program is executed by the processor, any of the above-mentioned metal fluid casting control methods is implemented.

[0124] Figure 7 It is a structural block diagram of an electronic device according to an embodiment of the present invention.

[0125] like Figure 7 As shown, the electronic device 700 includes: a processor 701 and a memory 703. The processor 701 and the memory 703 are connected, such as through a bus 702. Optionally, the electronic device 700 may further include a transceiver 704. It should be noted that in actual applications, the transceiver 704 is not limited to one, and the structure of the electronic device 700 does not constitute a limitation on the embodiments of the present invention.

[0126] Processor 701 may be a CPU (Central Processing Unit), a general purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the present invention. Processor 701 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0127] The bus 702 may include a path to transmit information between the above components. The bus 702 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 702 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0128] The memory 703 is used to store a computer program corresponding to the metal fluid casting control method of the above embodiment of the present invention, and the computer program is controlled and executed by the processor 701. The processor 701 is used to execute the computer program stored in the memory 703 to implement the contents shown in the above method embodiment.

[0129] Among them, the electronic device 700 includes but is not limited to: mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 7 The electronic device 700 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0130] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0131] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0132] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0133] In the description of the present invention, it is to be understood that the terms “center”, “longitudinal”, “lateral”, “length”, “width”, “thickness”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, “clockwise”, “counterclockwise”, “axial”, “radial”, “circumferential”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0134] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0135] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0136] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0137] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A metal fluid casting control method, characterized in that: The method comprises: Acquiring casting image data obtained by photographing a cooling platform of a casting device; Cutting the casting image data to obtain a target image area representing the cooling platform; Determining flow velocity data of the metal fluid on the cooling platform based on the pixel values ​​of the target image area; If the flow rate represented by the obtained flow rate data is outside the preset flow rate threshold range, the casting speed of the casting equipment is adjusted based on the magnitude relationship between the flow rate and the flow rate threshold range.

2. The metal fluid casting control method according to claim 1, characterized in that: The step of determining the flow rate data of the metal fluid on the cooling platform based on the pixel value of the target image area includes: Dividing the target image area into a preset number of sub-areas, and determining the sub-area brightness of each sub-area based on the pixel value of each sub-area; Flow rate data of the metal fluid on the cooling platform is determined based on the brightness of the sub-region.

3. The metal fluid casting control method according to claim 2, characterized in that: The determining of the flow rate data of the metal fluid on the cooling platform based on the brightness of the sub-region comprises: Determine the average brightness of all sub-regions; In all sub-areas, a first brightness area having brightness higher than the average brightness is determined, and flow rate data of the metal fluid on the cooling platform is determined according to a proportionality coefficient between the first brightness area and all sub-areas.

4. The metal fluid casting control method according to claim 2, characterized in that: The step of dividing the target image area into a preset number of sub-areas includes: The target image area is divided into a preset number of grids to obtain a preset number of sub-areas.

5. The metal fluid casting control method according to claim 3, characterized in that: The flow rate data is determined as follows: V velocity = η*a*b*h / T Wherein, Vflow rate represents the flow rate data, η represents the proportional coefficient, a represents the length of the cooling platform, b represents the width of the cooling platform, h represents the thickness of the metal fluid on the cooling platform, and T represents unit time.

6. The metal fluid casting control method according to claim 1, characterized in that: Before cutting the casting image data, the method further comprises: If the image represented by the casting image data is a color image, the casting image data is modified to image data of a grayscale image corresponding to the color image.

7. The metal fluid casting control method according to claim 1, characterized in that: The step of adjusting the casting speed of the casting equipment based on the magnitude relationship between the flow speed and the flow speed threshold range includes: PID parameters are set according to the relationship between the flow rate and the flow rate threshold range, and the current threshold of the solenoid valve of the casting equipment, and the current change rate of the solenoid valve is adjusted based on the PID parameters so that the solenoid valve controls the casting speed of the casting equipment.

8. The metal fluid casting control method according to claim 1, characterized in that: The flow rate threshold range is determined based on a preset reference flow rate and a speed variation range.

9. The metal fluid casting control method according to claim 8, characterized in that: The step of adjusting the casting speed of the casting equipment based on the magnitude relationship between the flow speed and the flow speed threshold range includes: If the flow rate is less than the difference between the reference flow rate and the speed variation range, then increasing the casting speed of the casting equipment; If the flow rate is greater than the sum of the reference flow rate and the speed variation range, the casting speed of the casting equipment is reduced.

10. A metal fluid casting control system, characterized in that: The system comprises: a photographing device, a data processing module, a controller, and a casting device; the system controls the casting speed of the casting device according to the metal fluid casting control method described in any one of claims 1 to 9; The photographing device is used to obtain casting image data obtained by photographing the cooling platform of the casting equipment; and transmit the casting image data to the data processing module; The data processing module is used to crop the casting image data to obtain a target image area representing the cooling platform; determine the flow rate data of the metal fluid on the cooling platform based on the pixel value of the target image area; and transmit the flow rate data to the controller; The controller is used to adjust the casting speed of the casting equipment based on the size relationship between the flow rate and the flow rate threshold range if the flow rate represented by the obtained flow rate data is outside the preset flow rate threshold range.

11. A linear molding casting device, characterized in that: The linear casting equipment comprises: a storage mechanism, a flow guiding mechanism, and a cooling platform; The storage mechanism is used to store the metal fluid and transport the stored metal fluid to the flow guiding mechanism; the storage mechanism controls the casting speed of the metal fluid according to the metal fluid casting and molding control method according to any one of claims 1 to 9; The flow guiding mechanism is used to receive the metal fluid delivered by the storage mechanism and introduce the received metal fluid into the cooling platform; The cooling platform is used to vibrate when pouring the metal fluid so as to cool and solidify the metal fluid.

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