Operation parameter determination method and device and terminal equipment

Abstract

The invention discloses an operation parameter determination method and device and terminal equipment, initial operation parameters of a feeding device and an object model corresponding to the feeding device are obtained, material parameters of a liquid material are obtained, the liquid material is the material conveyed when feeding operation is executed, and the material parameters of the liquid material are obtained; according to the object model, the material parameters and the initial operation parameters of the feeding device, a simulation result of feeding operation is generated, according to the simulation result, the initial operation parameters are adjusted, target operation parameters of the feeding device are obtained, and feeding operation simulation is conducted on the object model of the feeding device. And the accuracy of determining the operation parameters of the feeding device is improved, so that the safety risk when the feeding mechanism conveys the molten metal to the injection mechanism is reduced.

Description

Technical Field

[0001] This application belongs to the technical field of electrical control, and particularly relates to a method, device, and terminal device for determining operating parameters. Background Art

[0002] A die-casting machine is an industrial casting device that injects molten metal under pressure into a mold for cooling and forming to obtain solid metal castings. Specifically, a die-casting machine usually includes a mold clamping mechanism, a feeding mechanism, a shot mechanism, etc. Among them, the feeding mechanism is used to transport the molten metal to the shot mechanism.

[0003] Currently, there is a problem of low accuracy in the operating parameters of the feeding mechanism, resulting in a safety risk when the feeding mechanism transports the molten metal to the shot mechanism. Summary of the Invention

[0004] Embodiments of this application provide a method, device, and terminal device for determining operating parameters, aiming to solve the problem of low accuracy in the operating parameters of the existing feeding mechanism.

[0005] In a first aspect, embodiments of this application provide a method for determining operating parameters. The method is applied to a die-casting device, and the die-casting device includes a feeding device. The method includes:

[0006] Obtain the initial operating parameters of the feeding device and the object model corresponding to the feeding device, and obtain the material parameters of the liquid material; where the liquid material is the material transported during the feeding operation;

[0007] Generate a simulation result of the feeding operation according to the object model, the material parameters, and the initial operating parameters of the feeding device;

[0008] Adjust the initial operating parameters according to the simulation result to obtain the target operating parameters of the feeding device.

[0009] In a possible implementation manner of the above first aspect, the adjusting the initial operating parameters according to the simulation result to obtain the target operating parameters of the feeding device includes:

[0010] When it is determined that an abnormal event is triggered according to the simulation result and a preset abnormal triggering condition, determine the initial operating parameters corresponding to the abnormal event;

[0011] Based on the abnormal event, adjust the initial operating parameters corresponding to the abnormal event to obtain the target operating parameters of the feeding device.

[0012] In a possible implementation manner of the above first aspect, the simulation results include the position change trend, temperature change trend, and flow rate change trend of the liquid material, the abnormal trigger conditions include temperature abnormal trigger conditions, position abnormal trigger conditions, and flow rate abnormal trigger conditions, and the abnormal events include temperature abnormal events, position abnormal events, and flow rate abnormal events.

[0013] In a possible implementation manner of the above first aspect, generating the simulation results of the feeding operation according to the object model, the material parameters, and the initial operating parameters of the feeding device includes:

[0014] Determine at least one execution stage for the feeding device to perform the feeding operation;

[0015] Divide the liquid material into at least one fluid region;

[0016] According to the object model, the material parameters of the liquid material, and the initial operating parameters of the feeding device, determine the state parameters of each fluid region in each execution stage; wherein, the state parameters include the position parameters, temperature parameters, and flow rate parameters of the fluid region;

[0017] Based on the state parameters of each fluid region in each execution stage, determine the simulation results of each fluid region, and based on the simulation results of each fluid region, determine the simulation results of the feeding operation.

[0018] In a possible implementation manner of the above first aspect, adjusting the initial operating parameters corresponding to the abnormal event based on the abnormal event to obtain the target operating parameters of the feeding device includes:

[0019] Based on the abnormal event, determine the adjustment strategy for the initial operating parameters corresponding to the abnormal event;

[0020] Adjust the initial operating parameters corresponding to the abnormal event according to the adjustment strategy to obtain the target operating parameters of the feeding device.

[0021] In a possible implementation manner of the above first aspect, the method further includes:

[0022] Based on the abnormal event, generate the structure optimization information of the feeding device to optimize the structure of the feeding device based on the structure optimization information.

[0023] In a possible implementation manner of the above first aspect, before obtaining the object model corresponding to the feeding device, the method further includes:

[0024] Obtain the size parameters of the feeding device;

[0025] Generate an object model of the feeding device according to the size parameters.

[0026] In a second aspect, an embodiment of the present application provides a device for determining operating parameters. The device is applied to a die-casting device, and the die-casting device includes a feeding device. The device includes:

[0027] An acquisition module, configured to acquire initial operating parameters of the feeding device, an object model corresponding to the feeding device, and material parameters of a liquid network; wherein, the liquid network is the material conveyed during the feeding operation;

[0028] A simulation module, configured to generate a simulation result of the feeding operation according to the object model, the material parameters, and the initial operating parameters of the feeding device;

[0029] An adjustment module, configured to adjust the initial operating parameters according to the simulation result to obtain target operating parameters of the feeding device.

[0030] In a third aspect, an embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for determining operating parameters provided in the first aspect or any possible implementation manner of the first aspect is implemented.

[0031] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the method for determining operating parameters provided in the first aspect or any possible implementation manner of the first aspect is implemented.

[0032] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, and when the computer program runs on a computer, the computer is caused to execute the method for determining operating parameters provided in the first aspect or any possible implementation manner of the first aspect.

[0033] It can be understood that the beneficial effects of the second to fifth aspects can refer to the relevant descriptions in the first aspect, and will not be elaborated here.

[0034] The beneficial effects of the embodiments of the present application compared with the prior art are:

[0035] In an embodiment of the present application, by obtaining the initial operating parameters of the feeding device and the object model corresponding to the feeding device, and obtaining the material parameters of the liquid material, where the liquid material is the material conveyed during the feeding operation, according to the object model, the material parameters, and the initial operating parameters of the feeding device, a simulation result of the feeding operation is generated, and according to the simulation result, the initial operating parameters are adjusted to obtain the target operating parameters of the feeding device. By simulating the feeding operation on the object model of the feeding device, the accuracy of determining the operating parameters of the feeding device is improved, thereby reducing the safety risk when the feeding mechanism conveys the molten metal to the injection mechanism. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a flowchart of the steps of a method for determining operating parameters provided by an embodiment of the present application;

[0037] Figure 2 is a schematic structural diagram of an object model of a feeding device provided by an embodiment of the present application;

[0038] Figure 3 is a flowchart of the steps of another method for determining operating parameters provided by an embodiment of the present application;

[0039] Figure 4 is a schematic structural diagram of a device for determining operating parameters provided by an embodiment of the present application;

[0040] Figure 5 is a block diagram of the structure of a terminal device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] In order to make the technical problems, technical solutions, and beneficial effects to be solved by the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0042] A die-casting machine is an industrial casting device that injects molten metal into a mold under pressure to cool and form a solid metal casting. Specifically, a die-casting machine generally includes a die-locking mechanism, a feeding mechanism, an injection mechanism, etc. Among them, the feeding mechanism is used to convey the molten metal into the injection mechanism.

[0043] In actual production, an operator can control the feeding mechanism to perform a feeding operation according to the set operating parameters by setting the operating parameters of the feeding mechanism. Specifically, the feeding mechanism can be controlled to move to the upper part of the ladle for storing molten metal at a preset speed according to the set operating parameters, and the feeding mechanism can be controlled to pour the molten metal into the ladle at a preset inclination angle.

[0044] However, due to the influence of the operator's operation level and subjective factors, the accuracy of the set operating parameters is relatively low, resulting in the feeding mechanism not reaching the optimal position and the optimal tilt angle. Therefore, when the feeding mechanism performs the feeding operation according to inaccurate operating parameters, the phenomenon of molten metal splashing is likely to occur. Since the molten metal is usually at a high temperature, there are certain safety hazards during the feeding operation.

[0045] Based on this, the present application provides a method for determining operating parameters. By obtaining the initial operating parameters of the feeding device and the object model corresponding to the feeding device, and obtaining the physical parameters of the target fluid related to the feeding operation, according to the object model, the physical parameters of the target fluid, and the initial operating parameters of the feeding device, a simulation result of the object model is generated. According to the simulation result, the initial operating parameters are adjusted to obtain the target operating parameters of the feeding device. By simulating the feeding operation on the object model of the feeding device, the accuracy of determining the operating parameters of the feeding device is improved, thereby reducing the safety risk when the feeding mechanism transports the molten metal to the injection device.

[0046] See Figure 1 , Figure 1 shows a flowchart of the steps of a method for determining operating parameters provided by an embodiment of the present application. This method is applied to die-casting equipment, which can be an industrial casting equipment that injects molten metal into a mold under pressure for cooling and forming to obtain a casting. The die-casting equipment can include a die-locking device, a feeding device, and an injection device. The die-locking device can be used to lock the mold to ensure that the mold remains in a stable closed state under high pressure during die-casting, preventing molten metal from overflowing or the mold from deforming. The feeding device can be used to transport the molten metal to the injection device for die-casting. The injection device can be used to inject the molten metal into the mold so that the molten metal cools and forms in the mold to obtain the required casting.

[0047] Specifically, it can include the following steps:

[0048] Step 101, obtain the initial operating parameters of the feeding device and the object model corresponding to the feeding device, and obtain the material parameters of the liquid material.

[0049] Among them, the initial operating parameters can be pre-set operating parameters. The operating parameters can be parameters for controlling the movement or tilt of the feeding device. The initial operating parameters can be set by the user or set by the feeding device at the factory. The object model can be a three-dimensional model established with the feeding device as the prototype. The feeding operation can be an operation of transporting the molten metal to the injection device. The liquid material can be the material transported during the feeding operation. The liquid material can be molten metal of various materials used for die-casting. The material parameters can be parameters representing the physical properties of the liquid material, specifically including parameters such as the density and viscosity of the liquid material.

[0050] It should be understood that since different castings require different molten metals for die-casting, for different castings, different feeding operations need to be performed, that is, the operation of transporting the molten metal corresponding to the casting to the injection device is performed, so as to determine the molten metal transported by the current feeding operation and determine the parameters of the molten metal, that is, determine the density, viscosity and other parameters of the molten metal of this material.

[0051] In practical applications, when it is necessary to use the feeding device to perform the feeding operation, the initial operating parameters pre-set by the user for the feeding device can be obtained, or the factory settings of the feeding device can be obtained, and the initial operating parameters of the feeding device can be determined from the factory settings of the feeding device.

[0052] At the same time, an object model corresponding to the feeding device can be established with the feeding device as the prototype, and the liquid material transported by the current feeding operation can be determined, that is, the molten metal transported by the current feeding operation can be determined. After determining the liquid material transported by the feeding operation, the material of the liquid material can be determined, and then the physical parameters of the liquid material can be determined based on the material of the liquid material.

[0053] In practical applications, for liquid materials of different materials, the physical parameters of the liquid materials of this material can be determined in advance. Such as determining the density, viscosity and other physical parameters of the liquid material of this material, obtaining the material parameters of the liquid material of each material, and then after determining the material of the liquid material, the material parameters corresponding to this material can be determined as the material parameters of the liquid material.

[0054] In an embodiment of the present application, before step 101, the following steps may further be included:

[0055] Obtain the size parameters of the feeding device, and generate an object model of the feeding device according to the size parameters.

[0056] Among them, the size parameters can be parameters related to the size of the feeding device, specifically including parameters such as the length, width, height, radius, angle, etc. of each structure in the feeding device.

[0057] In practical applications, when it is necessary to perform a feeding operation using a feeding device, the specification attributes of the feeding device can be determined, and then the dimensional parameters of the feeding device can be determined from the specification attributes of the feeding device.

[0058] After obtaining the dimensional parameters of the feeding device, a three-dimensional model of the feeding device can be established based on the dimensional parameters of the feeding device, and an object model of the feeding device can be obtained.

[0059] In a specific implementation, three-dimensional software such as FLOW-3D, AutoCAD, SolidWorks, etc. can be used to establish an object model of the feeding device.

[0060] Step 102, generate a simulation result of the feeding operation according to the object model, material parameters, and initial operating parameters of the feeding device.

[0061] Among them, the simulation result can be the result of simulating the execution of the feeding operation.

[0062] After obtaining the object model, material parameters of the liquid material, and initial operating parameters, the feeding device can be simulated to move according to the initial operating parameters, and based on the material parameters of the liquid material, the movement trajectory of the liquid material after moving the feeding device can be calculated.

[0063] See Figure 2 , Figure 2 shows a schematic structural diagram of an object model of a feeding device provided by an embodiment of the present application. As Figure 2 shown, the object model 2 of the feeding device may include a ladle 21, a transition ladle 22, and a material chamber 23. The ladle 21 can be used to access and hold molten metal liquid from a melting furnace, and the ladle 21 can be used to pour the held molten metal liquid into the material chamber 23. The transition ladle 22 can be used to assist the ladle 21 in pouring the molten metal liquid into the material chamber 23. Specifically, the transition ladle 22 can assist the ladle 21 in adjusting the tilt angle of the metal liquid poured into the material chamber 23. The material chamber 23 can be used to hold molten metal liquid and connect to a mold, so as to inject the molten metal liquid in the material chamber into the mold under the action of a punch in an injection device for cooling and forming.

[0064] Specifically, the injection device may include a punch for injecting the molten metal liquid in the material chamber into the mold.

[0065] In practical applications, the movement of the transition spoon 22 can be simulated according to the initial operating parameters, so that the transition spoon moves to the first position above the material chamber 23. And the movement of the ladle 21 can be simulated according to the initial operating parameters, so that the ladle 21 moves to the second position above the transition spoon 22. And the rotation of the ladle 21 can be simulated according to the initial operating parameters. When the ladle 21 rotates, the process of pouring the molten metal liquid contained in the ladle 21 into the transition spoon 22 at a preset inclination angle is simulated based on the parameters of the molten metal liquid, and based on the inclination angle of the transition spoon 22, the process of pouring the molten metal liquid into the material chamber 23 is simulated. Furthermore, during the process of pouring the molten metal liquid from the ladle 21 into the material chamber 23, the movement trajectory of the molten metal liquid from the ladle 21 to the material chamber 23 is calculated.

[0066] Specifically, the initial operating parameters may include parameters for controlling the movement of the transition spoon, parameters for controlling the movement of the ladle, and parameters for controlling the rotation of the ladle. The parameters for controlling the movement of the transition spoon may include the stroke and direction of driving the transition spoon to move. The parameters for controlling the movement of the ladle may include the stroke and direction of driving the ladle to move. The parameters for controlling the rotation of the ladle may include the rotation angle of the ladle. The first position may be the position above the material chamber reached by the transition spoon under the control of the initial operating parameters, and the second position may be the position above the transition spoon reached by the ladle under the control of the initial operating parameters. The first position can be determined based on the stroke and direction of driving the transition spoon to move, and the second position can be determined based on the stroke and direction of the ladle moving.

[0067] After obtaining the movement trajectory of the liquid material, the simulation result of the feeding operation can be generated based on the movement trajectory of the liquid material.

[0068] It should be understood that since liquid materials of different materials have different material parameters, and different material parameters will result in different processes for pouring the liquid material into the material chamber. Moreover, the required capacities of liquid materials for different castings are also different, so that the processes of pouring liquid materials with different capacities into the material chamber are also different. Then, the simulation results obtained by simulating each feeding operation will not be the same, that is, different feeding operations can correspond to different simulation results. For each different feeding operation, the simulation result of the feeding operation can be determined in the above manner.

[0069] Step 103, according to the simulation result, adjust the initial operating parameters to obtain the target operating parameters of the feeding device.

[0070] Among them, the target operating parameters can be the operating parameters for the expected feeding device to perform the feeding operation, and different feeding operations can correspond to different target operating parameters.

[0071] After obtaining the simulation results, the initial operating parameters can be adjusted according to the simulation results to obtain the target operating parameters of the feeding device.

[0072] In an embodiment of the present application, step 103 may include steps 1031 to 1032:

[0073] Step 1031, when determining that an abnormal event is triggered according to the simulation results and a preset abnormal trigger condition, determine the initial operating parameters corresponding to the abnormal event.

[0074] Among them, the abnormal trigger condition may be a condition for determining whether an abnormal event is triggered, and different abnormal events may correspond to different abnormal trigger conditions. An abnormal event may be an event with an operation risk or an event that reduces the operation efficiency during the feeding operation. Specifically, events related to operation risks may include position abnormal events, and events related to reducing operation efficiency may include flow rate abnormal events, temperature abnormal events, beat abnormal events, etc. A position abnormal event may be an event where the position of the molten metal is abnormal, specifically including molten metal splashing events, molten metal retention events, etc. A molten metal splashing event may be an event where the molten metal flies out of the feeding device during the feeding operation, and a molten metal retention event may be an event where the molten metal stays in the feeding device during the feeding operation. A flow rate abnormal event may be an event where the flow rate of the molten metal is too fast or too slow during the feeding operation, a temperature abnormal event may be an event where the temperature of the molten metal changes rapidly or the temperature of the molten metal is lower than a preset value during the feeding operation, and a beat abnormal event may be an event where the action connection between each mechanism of the feeding device is inaccurate during the feeding operation, resulting in too long waiting time.

[0075] After obtaining the simulation results, the simulation results can be matched with the preset abnormal trigger condition to determine whether the feeding operation triggers an abnormal event. Furthermore, when determining that an abnormal event is triggered according to the simulation results and the preset abnormal trigger condition, determine the initial operating parameters corresponding to the abnormal event.

[0076] In a specific implementation, since different abnormal events can be avoided by adjusting different operating parameters, the operating parameters corresponding to each abnormal event can be determined. Furthermore, when an abnormal event is triggered, the initial operating parameters corresponding to the currently triggered abnormal event can be determined to adjust the initial operating parameters corresponding to the currently triggered abnormal event.

[0077] Step 1032, based on the abnormal event, adjust the initial operating parameters corresponding to the abnormal event to obtain the target operating parameters of the feeding device.

[0078] After determining the abnormal event triggered by the feeding operation, the initial operating parameters corresponding to the abnormal event can be adjusted according to the determined abnormal event to obtain the target operating parameters of the feeding device.

[0079] In an embodiment of the present application, step 1032 can also be implemented in the following manner:

[0080] Based on the abnormal event, determine the adjustment strategy for the initial operating parameters corresponding to the abnormal event, and adjust the initial operating parameters corresponding to the abnormal event according to the adjustment strategy to obtain the target operating parameters of the feeding device.

[0081] Among them, the adjustment strategy can be a strategy for adjusting the initial operating parameters, specifically including a strategy for increasing or decreasing the initial operating parameters, and a strategy for increasing the initial operating parameters by a preset value or decreasing the initial operating parameters by a preset value.

[0082] After determining the abnormal event triggered by the feeding operation, according to the abnormal event, determine the strategy for increasing or decreasing the initial operating parameters, and determine the value to be increased when it is determined that the initial operating parameters need to be increased, or determine the value to be decreased when it is determined that the initial operating parameters need to be decreased, to obtain the adjustment strategy for adjusting the initial operating parameters corresponding to the abnormal event. Furthermore, the initial operating parameters corresponding to the abnormal event can be adjusted according to the determined adjustment strategy, that is, the initial operating parameters corresponding to the abnormal event are increased or decreased by a preset value according to the determined adjustment strategy, to obtain the target operating parameters of the feeding device.

[0083] Specifically, the target operating parameters corresponding to the feeding operation can be obtained. Furthermore, when the feeding device performs the same feeding operation, the feeding operation is performed using the target operating parameters, thereby improving the accuracy of the determined operating parameters.

[0084] In the embodiment of the present application, by obtaining the initial operating parameters of the feeding device and the object model corresponding to the feeding device, and obtaining the physical parameters of the target fluid related to the execution of the feeding operation, a simulation result of the object model is generated according to the object model, the physical parameters of the target fluid, and the initial operating parameters of the feeding device. According to the simulation result, the initial operating parameters are adjusted to obtain the target operating parameters of the feeding device. By simulating the feeding operation on the object model of the feeding device, the accuracy of determining the operating parameters of the feeding device is improved, thereby reducing the safety risk when the feeding mechanism transports the molten metal to the injection mechanism.

[0085] See Figure 3 , Figure 3The flowchart shows the steps of another method for determining operating parameters provided by an embodiment of the present application. Specifically, it may include the following steps:

[0086] Step 301, obtain the initial operating parameters of the feeding device and the object model corresponding to the feeding device, and obtain the material parameters of the liquid material.

[0087] Step 302, determine at least one execution stage for the feeding device to perform the feeding operation.

[0088] Among them, the execution stage may be the stage involved in driving the feeding device to perform the feeding operation. Specifically, the execution stage may include the execution stage of moving and fixing the transition spoon above the material chamber, the execution stage of moving the ladle above the transition spoon, and the execution stage of pouring the molten metal from the ladle into the transition spoon.

[0089] It should be understood that since the capacity of the material chamber in a large die-casting device is greater than that in a small die-casting device, the capacity of the liquid material that the feeding device in the large die-casting device needs to hold and pour is also greater than that in the small die-casting device. And the larger the capacity of the liquid material that the feeding device needs to hold and pour, the greater the difficulty of pouring the liquid material into the material chamber, that is, the greater the difficulty of pouring the molten metal liquid completely into the material chamber without triggering splashing or retention. Therefore, for a large die-casting device, a transition spoon can be equipped to assist the ladle in pouring the molten metal liquid into the material chamber to reduce the difficulty of pouring the liquid material into the material chamber. For a small die-casting device, since the capacity of the liquid material it needs to hold and pour is less, the difficulty of pouring the liquid material into the material chamber is also less, and thus a transition spoon may not be needed to reduce the difficulty of pouring the liquid material into the material chamber. For a small die-casting device, the execution stage of its feeding device may include the execution stage of moving the ladle above the material chamber and the execution stage of pouring the molten metal from the ladle into the material chamber.

[0090] After obtaining the object model corresponding to the feeding device, the mechanism that needs to be driven when the feeding device performs the feeding operation can be determined, and the steps that each mechanism needs to execute can be determined. Furthermore, at least one execution stage for the feeding device to perform the feeding operation can be determined according to the steps that each mechanism needs to execute, and each execution stage corresponds to the steps that each mechanism needs to execute.

[0091] For example, when the feeding device performs a feeding operation, it is necessary to drive the transition spoon to move to and be fixed at the first position above the material chamber, drive the ladle to move to the second position above the transition spoon, and drive the ladle to rotate. For each step, determine the corresponding execution stage, that is, the execution stage of moving and fixing the transition spoon above the material chamber, the execution stage of moving the ladle above the transition spoon, and the execution stage of pouring the ladle into the transition spoon. Another example is that when the feeding device performs a feeding operation, it is necessary to drive the ladle to move to the third position above the material chamber and drive the ladle to rotate. For each step, determine the corresponding execution stage, that is, the execution stage of moving the ladle above the material chamber and the execution stage of pouring the molten metal from the ladle into the material chamber.

[0092] Specifically, the third position can be the position above the material chamber that the ladle reaches under the control of the initial operating parameters, and the third position can be determined based on the stroke and direction of driving the ladle to move.

[0093] Step 303, divide the liquid material into at least one fluid region.

[0094] Among them, the fluid region can be a region obtained by dividing the liquid material according to a preset division rule. The division rule can include an average division rule, a rule for dividing according to the flow state, and a rule for dividing according to the temperature. The average division rule can be a rule for evenly dividing the liquid material according to the desired quantity, that is, dividing the liquid material into the desired number of fluid regions with the same volume or a difference less than the preset difference value. The rule for dividing according to the flow state can be a rule for dividing according to the flow rate of the liquid material, that is, dividing the liquid material into at least one fluid region with different flow rate ranges for each fluid region. The rule for dividing according to the temperature can be a rule for dividing according to the temperature of the liquid material, that is, dividing the liquid material into at least one fluid region with different temperature ranges for each fluid region.

[0095] In practical applications, the division rule for dividing the liquid material can be determined, and then the liquid material can be divided into at least one fluid region according to the preset division rule.

[0096] Step 304, determine the state parameters of each fluid region in each execution stage according to the object model, material parameters, and initial operating parameters of the feeding device.

[0097] Among them, the state parameter can be a parameter describing the state of the fluid region, and the state parameter can include the position parameter, temperature parameter, and flow rate parameter of the fluid region.

[0098] After obtaining at least one fluid region, the state parameters of each fluid region in each execution stage can be determined according to the object model, material parameters, and initial operating parameters of the feeding device.

[0099] In practical applications, the feeding device can be simulated to move according to the initial operating parameters, the movement trajectory of the feeding device in each execution stage can be determined, and based on the material parameters of the liquid material, the movement trajectory of each fluid region in each execution stage can be calculated. Furthermore, for each fluid region, the position parameter of the fluid region can be determined based on this movement trajectory, that is, the position where the fluid region is located in each execution stage can be determined. It is also possible to determine the average velocity of the fluid region in each execution stage based on this movement trajectory and the execution duration of each execution stage, and obtain the flow velocity parameter of the fluid region in each execution stage. Additionally, based on the initial temperature of the fluid region, the ambient temperature during the feeding operation, and the average velocity of the fluid region in each execution stage, the heat loss of the fluid region in each execution stage can be determined, and then the temperature parameter of the fluid region in each execution stage can be determined based on the heat loss.

[0100] Step 305: Based on the state parameters of each fluid region in each execution stage, determine the simulation result of each fluid region, and based on the simulation results of each fluid region, determine the simulation result of the feeding operation.

[0101] After obtaining the state parameters of each fluid region in each execution stage, the simulation result of each fluid region can be obtained.

[0102] Specifically, the simulation results can include the position change trend, temperature change trend, and flow velocity change trend of the liquid material.

[0103] In practical applications, for each fluid region, the execution order of each execution stage can be determined, and based on this execution order and the state parameters of the fluid region in each execution stage, the flow velocity change trend, position change trend, and temperature change trend of the fluid region during the feeding operation can be determined.

[0104] For example, the average velocity of fluid region A in the execution stage of moving and fixing the transition spoon above the material chamber can be 0 m / s, the average velocity in the execution stage of moving the soup spoon above the transition spoon can be 2 m / s, and the average velocity in the execution stage of pouring from the soup spoon into the transition spoon can be 5 m / s. Then, based on the average velocity of each execution stage, the velocity change trend of fluid region A during the feeding operation can be determined.

[0105] After obtaining the simulation results of each fluid region, the simulation result of the feeding operation can be determined based on the simulation results of each fluid region.

[0106] In a specific implementation, the simulation result of the feeding operation can be a data set of the simulation results for each fluid region, that is, for this feeding operation, a blank data set is generated, and the simulation results of each fluid region are stored in this blank data set to obtain the simulation result of the feeding operation.

[0107] Step 306, when determining that an abnormal event is triggered according to the simulation result and the preset abnormal triggering condition, determine the initial operating parameters corresponding to the abnormal event.

[0108] After obtaining the simulation result of the feeding operation, the simulation result can be matched with the preset abnormal triggering condition to determine whether this feeding operation triggers an abnormal event.

[0109] Specifically, the abnormal triggering condition can include a temperature abnormal triggering condition, a position abnormal triggering condition, and a flow rate abnormal triggering condition.

[0110] In practical applications, it is possible to judge whether this feeding operation meets the temperature abnormal triggering condition according to the temperature change trend in the simulation result. When the temperature change trend in the simulation result meets the temperature abnormal triggering condition, it is determined that a temperature abnormal event is triggered; it is possible to judge whether this feeding operation meets the position abnormal triggering condition according to the position change trend in the simulation result. When the position change trend in the simulation result meets the position abnormal triggering condition, it is determined that a position abnormal event is triggered; it is possible to judge whether this feeding operation meets the flow rate abnormal triggering condition according to the flow rate change trend in the simulation result. When the flow rate change trend in the simulation result meets the flow rate abnormal triggering condition, it is determined that a flow rate abnormal event is triggered.

[0111] As an example, when the temperature at a certain moment in the temperature change trend is lower than the preset temperature value, it can be determined that the temperature of one or more fluid regions is lower than the preset temperature, and there is a risk that the fluidity of one or more fluid regions is reduced. Furthermore, the probability that the liquid material stays in the ladle or the transfer ladle due to the reduced fluidity is increased, triggering the metal liquid retention event. At the same time, the injection quality of the liquid material during the injection process will also be reduced due to the temperature being lower than the preset temperature value, triggering the temperature abnormal event.

[0112] When the position at a certain moment in the position change trend is higher than the preset height, it can be determined that the height of one or more fluid regions is higher than the preset height, there is a risk that one or more fluid regions will splash, and there is a risk of erosion and corrosion to the shot chamber or the transfer ladle. Furthermore, the position abnormal event and the metal liquid splash event are triggered.

[0113] When the flow velocity at a certain moment in the flow velocity change trend is greater than the preset flow velocity value, it can be determined that the flow velocity of one or more fluid regions is greater than the preset flow velocity, there is a situation where the fluidity of one or more fluid regions is relatively high, there is a risk of splashing in one or more fluid regions due to the high flow velocity, which triggers a molten metal splashing event, and there is a situation where the liquid material flows back due to the high flow velocity, resulting in a risk of reflux corrosion or retention in the transition ladle, triggering a flow velocity anomaly event and a molten metal retention event.

[0114] When it is determined that an abnormal event is triggered, the initial operating parameters corresponding to the abnormal event can be determined.

[0115] In practical applications, the initial operating parameters used to solve the abnormal event can be determined, which are the initial operating parameters corresponding to the abnormal event.

[0116] For example, when the abnormal event is a temperature abnormal event, it can be determined that more heat is lost during the feeding operation of the liquid material. Furthermore, the heat loss can be reduced by reducing the execution duration of the feeding operation, increasing the initial temperature of the liquid material, or increasing the ambient temperature during the feeding operation. Then, the initial operating parameters used to solve the abnormal event can be determined as the initial temperature of the liquid material, the tilt angle of the ladle, the moving speed of the ladle, the moving speed of the transition ladle, and other operating parameters.

[0117] It should be understood that the execution duration of the feeding operation can be reduced by increasing the moving speed of the ladle to reduce the time for the ladle to move above the material chamber or the transition ladle, and the same applies to the moving speed of the transition ladle. It can also be achieved by increasing the tilt angle of the ladle to increase the flow velocity of the molten metal poured from the ladle into the material chamber or the transition ladle, thereby reducing the time for pouring the molten metal into the material chamber or the transition ladle, and thus reducing the execution duration of the feeding operation.

[0118] When the abnormal event is a position abnormal event, it can be determined that there is a situation where the position of the fluid region is relatively high during the feeding operation of the liquid material. The reason is usually that the flow velocity of the liquid material is relatively large, causing an impact during the pouring process, so that the liquid material is affected by the impact force and its position is increased. Furthermore, the impact caused during the pouring process can be reduced by lowering the flow velocity or the tilt angle of the liquid material. Then, the initial operating parameters used to solve the abnormal event can be determined as the tilt angle of the ladle, the moving speed of the ladle, the moving speed of the transition ladle, and other operating parameters.

[0119] When the abnormal event is a flow rate abnormal event, it can be determined that there is a situation of relatively high flow rate during the feeding operation of the liquid material. Then, the abnormal event can be solved by reducing the flow rate of the liquid material. It can be determined that the initial operating parameters for solving this abnormal event are operating parameters such as the tilt angle of the ladle, the moving speed of the ladle, and the moving speed of the transition ladle.

[0120] When the abnormal event is a molten metal splashing event, it can be determined that there is a splashing situation during the feeding operation of the liquid material. The cause is usually that the flow rate of the liquid material is relatively large, resulting in an impact during pouring, causing the liquid material to be affected by the impact force and increasing the position of the liquid material. Then, the impact caused during pouring of the liquid material can be reduced by reducing the flow rate or tilt angle of the liquid material. It can be determined that the initial operating parameters for solving this abnormal event are operating parameters such as the tilt angle of the ladle, the moving speed of the ladle, and the moving speed of the transition ladle.

[0121] When the abnormal event is a molten metal retention event, it can be determined that there is a situation of molten metal retention during the feeding operation of the liquid material. The cause is usually that the flow rate of the liquid material is relatively small or the temperature of the liquid material is relatively low. Then, this abnormal event can be solved by increasing the flow rate or temperature of the liquid material. That is, it can be determined that the initial operating parameters for solving this abnormal event are operating parameters such as the tilt angle of the ladle, the moving speed of the ladle, the moving speed of the transition ladle, and the initial temperature of the liquid material.

[0122] Step 307: Based on the abnormal event, adjust the initial operating parameters corresponding to the abnormal event to obtain the target operating parameters of the feeding device.

[0123] After obtaining the initial operating parameters corresponding to the abnormal event, based on the abnormal event, the initial operating parameters corresponding to the abnormal event can be adjusted to obtain the target operating parameters of the feeding device.

[0124] In practical applications, based on the abnormal event, the cause of the abnormal event can be determined, and based on the cause of the abnormal event, the adjustment strategy corresponding to the abnormal event can be determined.

[0125] For example, when the abnormal event is a flow rate abnormal event, it can be determined that there is a situation of relatively high flow rate of the liquid material during the feeding operation. Furthermore, it can be determined that the reason for this abnormal event is the relatively high flow rate of the liquid material. An adjustment strategy for reducing the flow rate of the liquid material can be generated based on this reason. The flow rate of the liquid material can be reduced by means such as reducing the tilt angle of the ladle, reducing the moving speed of the ladle, and reducing the moving speed of the transition ladle. That is, an adjustment strategy for reducing the tilt angle of the ladle, and / or an adjustment strategy for reducing the moving speed of the ladle, and / or an adjustment strategy for reducing the moving speed of the transition ladle can be generated.

[0126] Meanwhile, the value for adjusting the operating parameters can be user-defined or determined based on experience.

[0127] In an embodiment of the present application, the following steps may further be included:

[0128] Based on the abnormal event, generate structure optimization information for the feeding device to optimize the structure of the feeding device based on the structure optimization information.

[0129] Among them, the structure optimization information can be information for optimizing the structure of the feeding device, and the structure optimization information can include information for optimizing the structure of the ladle and information for optimizing the structure of the transition ladle.

[0130] After obtaining the simulation result of the feeding operation and determining the abnormal event triggered by the feeding operation, it is possible to judge whether it is necessary to optimize the structure of the feeding device based on the abnormal event, and generate structure optimization information for the feeding device when it is necessary to optimize the structure of the feeding device.

[0131] In practical applications, based on the abnormal event, an adjustment strategy corresponding to the abnormal event can be determined. Furthermore, the initial operating parameters can be adjusted based on the adjustment strategy corresponding to the abnormal event, and an adjusted simulation result can be determined based on the adjusted operating parameters to judge whether the abnormal event is still triggered based on the adjusted simulation result. When it is determined based on the adjusted simulation result that the abnormal event is triggered, the above steps are repeated until the abnormal event is not triggered or the number of repetitions reaches the iteration number threshold. When the number of repetitions reaches the iteration number threshold, it can be determined that adjusting the operating parameters cannot solve the abnormal event either, and thus it is necessary to optimize the structure of the feeding device and generate structure optimization information for the feeding device.

[0132] Specifically, when the reason for the abnormal event is that the flow rate of the liquid material is relatively high, the flow rate of the liquid material can be reduced by decreasing the slope of the ladle or the transition ladle, that is, the structural optimization information for decreasing the slope of the ladle or the transition ladle can be generated; when the reason for the abnormal event is that the liquid material loses a large amount of heat during the feeding operation, the execution duration of the feeding operation can be reduced, that is, this abnormal event can be solved by increasing the flow rate of the liquid material in the ladle or the transition ladle. The flow rate of the liquid material can be increased by increasing the slope of the ladle or the transition ladle, that is, the structural optimization information for increasing the slope of the ladle or the transition ladle can be generated, or the cross-sectional area of the ladle or the transition ladle can be reduced to decrease the contact area between the liquid material and the air, thereby reducing the heat loss of the liquid material through the air, that is, the structural optimization information for reducing the cross-sectional area of the ladle or the transition ladle can be generated.

[0133] In the embodiment of the present application, by obtaining the initial operating parameters of the feeding device and the object model corresponding to the feeding device, and obtaining the material parameters of the liquid material, at least one execution stage of the feeding operation performed by the feeding device is determined, the liquid material is divided into at least one fluid region, according to the object model, the material parameters, and the initial operating parameters of the feeding device, the state parameters of each fluid region in each execution stage are determined, based on the state parameters of each fluid region in each execution stage, the simulation results of each fluid region are determined, and based on the simulation results of each fluid region, the simulation result of the feeding operation is determined. When it is determined that an abnormal event is triggered according to the simulation result and the preset abnormal triggering condition, the initial operating parameters corresponding to the abnormal event are determined, and based on the abnormal event, the initial operating parameters corresponding to the abnormal event are adjusted to obtain the target operating parameters of the feeding device, which improves the accuracy of determining the operating parameters of the feeding device, thereby reducing the safety risk when the feeding mechanism conveys the molten metal to the injection mechanism, and improving the efficiency of the feeding mechanism conveying the molten metal to the injection mechanism.

[0134] See Figure 4 , Figure 4 FIG. shows a schematic structural diagram of a device for determining operating parameters provided in an embodiment of the present application. The device is applied to a die-casting device, and the die-casting device may include a feeding device, and specifically may include the following modules:

[0135] An obtaining module 401, configured to obtain the initial operating parameters of the feeding device and the object model corresponding to the feeding device, and obtain the material parameters of the liquid material; wherein, the liquid material is the material conveyed during the feeding operation;

[0136] A simulation module 402, configured to generate a simulation result of the feeding operation according to the object model, the material parameters, and the initial operating parameters of the feeding device;

[0137] An adjustment module 403, configured to adjust the initial operating parameters according to the simulation results to obtain the target operating parameters of the feeding device.

[0138] In one implementation, the above adjustment module 403 may be configured to:

[0139] When determining that an abnormal event is triggered according to the simulation results and the preset abnormal triggering conditions, determine the initial operating parameters corresponding to the abnormal event;

[0140] Based on the abnormal event, adjust the initial operating parameters corresponding to the abnormal event to obtain the target operating parameters of the feeding device.

[0141] In one implementation, the simulation results include the position change trend, temperature change trend, and flow rate change trend of the liquid material, the abnormal triggering conditions include temperature abnormal triggering conditions, position abnormal triggering conditions, and flow rate abnormal triggering conditions, and the abnormal events include temperature abnormal events, position abnormal events, and flow rate abnormal events.

[0142] In one implementation, the above simulation module 402 may be configured to:

[0143] Determine at least one execution stage for the feeding device to perform the feeding operation;

[0144] Divide the liquid material into at least one fluid region;

[0145] According to the object model, the material parameters of the liquid material, and the initial operating parameters of the feeding device, determine the state parameters of each fluid region in each execution stage; wherein, the state parameters include the position parameters, temperature parameters, and flow rate parameters of the fluid region;

[0146] Based on the state parameters of each fluid region in each execution stage, determine the simulation results of each fluid region, and based on the simulation results of each fluid region, determine the simulation results of the feeding operation.

[0147] In one implementation, the above adjustment module 403 may be configured to:

[0148] Based on the abnormal event, determine the adjustment strategy for the initial operating parameters corresponding to the abnormal event;

[0149] According to the adjustment strategy, adjust the initial operating parameters corresponding to the abnormal event to obtain the target operating parameters of the feeding device.

[0150] In one implementation, the device further includes the following module:

[0151] A generation module, configured to generate structure optimization information for the feeding device based on the abnormal event, so as to optimize the structure of the feeding device based on the structure optimization information.

[0152] In one implementation, the above-mentioned acquisition module 401 can also be used for:

[0153] Before obtaining the object model corresponding to the feeding device, obtain the size parameters of the feeding device;

[0154] In one implementation, the above-mentioned generation module can also be used for:

[0155] Before obtaining the object model corresponding to the feeding device, generate the object model of the feeding device according to the size parameters.

[0156] In the embodiments of the present application, by obtaining the initial operation parameters of the feeding device and the object model corresponding to the feeding device, and obtaining the material parameters of the liquid material, where the liquid material is the material transported during the feeding operation, according to the object model, the material parameters and the initial operation parameters of the feeding device, generate the simulation result of the feeding operation, and according to the simulation result, adjust the initial operation parameters to obtain the target operation parameters of the feeding device. By simulating the feeding operation on the object model of the feeding device, the accuracy of determining the operation parameters of the feeding device is improved, thereby reducing the safety risk when the feeding mechanism transports the molten metal to the injection mechanism.

[0157] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices, due to being based on the same concept as the method embodiments of the present application, for their specific functions and the technical effects brought, reference can be specifically made to the method embodiment part, and details are not described here again.

[0158] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above-mentioned division of each functional unit and module is used for illustration. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiments, and details are not described here again.

[0159] See Figure 5 , Figure 5 shows a structural block diagram of a terminal device provided by an embodiment of the present application, as Figure 5As shown in the figure, this embodiment provides a terminal device 51, which includes: at least one processor 511, a memory 512, and a computer program 5121 stored in the memory 512 and operable on the at least one processor 511. When the processor 511 executes the computer program 5121, the steps in any of the above method embodiments are implemented.

[0160] An embodiment of the present application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments can be implemented.

[0161] An embodiment of the present application provides a computer program product. When the computer program product runs on a terminal device, the terminal device can be caused to execute the steps in the above method embodiments.

[0162] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above embodiment methods of the present application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps in the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can at least include: any entity or device capable of carrying the computer program code to the photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electrical carrier signal, a telecommunication signal, and a software distribution medium.

[0163] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for determining operating parameters, characterized in that, The method is applied to a die-casting device, which includes a feeding device. The method includes: Obtaining the initial operating parameters of the feeding device and the object model corresponding to the feeding device, and obtaining the material parameters of the liquid material; wherein, the liquid material is the material conveyed during the feeding operation; Generating a simulation result of the feeding operation according to the object model, the material parameters, and the initial operating parameters of the feeding device; Adjusting the initial operating parameters according to the simulation result to obtain the target operating parameters of the feeding device.

2. The method for determining the operating parameters according to claim 1, characterized in that The adjusting the initial operating parameters according to the simulation result to obtain the target operating parameters of the feeding device includes: When it is determined that an abnormal event is triggered according to the simulation result and a preset abnormal triggering condition, determining the initial operating parameters corresponding to the abnormal event; Based on the abnormal event, adjusting the initial operating parameters corresponding to the abnormal event to obtain the target operating parameters of the feeding device.

3. The method for determining the operating parameters according to claim 2, wherein, The simulation result includes the position change trend, temperature change trend, and flow rate change trend of the liquid material. The abnormal triggering conditions include temperature abnormal triggering conditions, position abnormal triggering conditions, and flow rate abnormal triggering conditions. The abnormal events include temperature abnormal events, position abnormal events, and flow rate abnormal events.

4. The method for determining the operating parameters according to claim 3, characterized in that, The generating a simulation result of the feeding operation according to the object model, the material parameters, and the initial operating parameters of the feeding device includes: Determining at least one execution stage for the feeding device to perform the feeding operation; Dividing the liquid material into at least one fluid region; Determining the state parameters of each fluid region in each execution stage according to the object model, the material parameters of the liquid material, and the initial operating parameters of the feeding device; wherein, the state parameters include the position parameters, temperature parameters, and flow rate parameters of the fluid region; Based on the state parameters of each fluid region in each execution stage, determining the simulation result of each fluid region, and based on the simulation result of each fluid region, determining the simulation result of the feeding operation.

5. The method for determining operating parameters according to any one of claims 2 to 4, characterized in that, The adjusting the initial operating parameters corresponding to the abnormal event based on the abnormal event to obtain the target operating parameters of the feeding device includes: Determining an adjustment strategy for the initial operating parameters corresponding to the abnormal event based on the abnormal event; Adjusting the initial operating parameters corresponding to the abnormal event according to the adjustment strategy to obtain the target operating parameters of the feeding device.

6. The method for determining operating parameters according to any one of claims 2 to 4, characterized in that, The method further includes: Generating structure optimization information for the feeding device based on the abnormal event, so as to optimize the structure of the feeding device based on the structure optimization information.

7. The method for determining the operating parameters according to claim 1, wherein, Before obtaining the object model corresponding to the feeding device, the method further includes: Obtaining the size parameters of the feeding device; Generating an object model of the feeding device according to the size parameters.

8. A device for determining operating parameters, characterized in that, The device is applied to a die-casting device, which includes a feeding device. The device includes: An acquisition module, configured to acquire initial operation parameters of the feeding device and an object model corresponding to the feeding device, and acquire material parameters of a liquid material; wherein the liquid material is the material conveyed during the feeding operation; A simulation module, configured to generate a simulation result of the feeding operation according to the object model, the material parameters, and the initial operation parameters of the feeding device; An adjustment module, configured to adjust the initial operation parameters according to the simulation result to obtain target operation parameters of the feeding device.

9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer program product, comprising a computer program, characterized in that, When the computer program runs on a computer, the computer is caused to execute the method according to any one of claims 1 to 7.

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