Pasta machine, control method, control device and computer-readable storage medium thereof

Abstract

This invention discloses a pasta machine and its control method, control device, and computer-readable storage medium. The method includes: obtaining the weight of flour to be kneaded; determining a weight grade based on the flour weight; determining a preset water value based on the flour weight and weight grade; and controlling the working components of the pasta machine to knead the flour according to the preset water value. The control method of this invention, by classifying the flour by weight and determining corresponding preset water values ​​based on different weight grades, and controlling the working components of the pasta machine to knead the dough according to the preset water value, can improve the automation level of the pasta machine, resulting in better kneading effects and an improved user experience.

Description

Technical Field

[0001] This invention relates to the field of food processing technology, and in particular to a control method for a pasta machine, a control device for a pasta machine, a computer-readable storage medium, and a pasta machine. Background Technology

[0002] In daily life, pasta machines are becoming increasingly popular among consumers. Pasta machines can be used to make a variety of noodles. Users only need to put flour and liquid into the mixing cup, start the pasta machine, and the dough and noodles can be processed. It is simple, convenient, and saves time and effort.

[0003] Currently, pasta machines can only process noodles, which is a relatively simple function. Furthermore, the amount of flour also affects the dough kneading effect, which can easily lead to unsuccessful dough making and a poor user experience. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in related technologies. Therefore, the first objective of this invention is to propose a control method for a pasta machine. This method involves grading the flour by weight, determining corresponding preset water values ​​based on different weight grades, and controlling the working components of the pasta machine to knead the dough according to these preset water values. This improves the automation level of the pasta machine, resulting in better kneading effects and enhanced user experience.

[0005] The second objective of this invention is to provide a control device for a pasta machine.

[0006] A third objective of this invention is to provide a computer-readable storage medium.

[0007] The fourth objective of this invention is to provide a pasta machine.

[0008] The fifth objective of this invention is to provide another type of pasta machine.

[0009] To achieve the above objectives, a first aspect of the present invention provides a control method for a pasta machine, comprising: obtaining the weight of flour to be kneaded; determining a weight grade based on the flour weight; determining a preset water value based on the flour weight and weight grade; and controlling the working components of the pasta machine to knead the flour to be kneaded based on the preset water value.

[0010] According to the control method of the pasta machine of the present invention, the weight of the flour to be kneaded is first obtained, then the weight grade is determined based on the flour weight, and finally a preset water value is determined based on the flour weight and weight grade. The working components of the pasta machine are then controlled to knead the flour according to the preset water value. Thus, by classifying the flour by weight, determining corresponding preset water values ​​based on different weight grades, and controlling the working components of the pasta machine to knead the dough according to the preset water value, this method improves the automation level of the pasta machine, resulting in better kneading effects and enhanced user experience.

[0011] In addition, the control method for the pasta machine according to the above embodiments of the present invention may also have the following additional technical features:

[0012] According to one embodiment of the present invention, determining a preset water content based on flour weight and weight grade includes: obtaining the type of flour to be kneaded and determining the water-to-flour ratio based on the flour type; obtaining a reference preset water content based on flour weight and water-to-flour ratio; obtaining a correction value corresponding to the current weight grade; and determining a preset water content based on the reference preset water content and the correction value corresponding to the current weight grade.

[0013] According to one embodiment of the present invention, the weight class includes a first weight class, a second weight class, and a third weight class. Determining the water volume preset value based on a reference water volume preset value and a correction value corresponding to the current weight class includes: when the weight class is the first weight class, determining the water volume preset value based on the difference between the reference water volume preset value and the first correction value; when the weight class is determined to be the second weight class, determining the water volume preset value based on the sum of the reference water volume preset value and the second correction value; and when the weight class is determined to be the third weight class, determining the water volume preset value based on the reference water volume preset value.

[0014] According to one embodiment of the present invention, the control method of the pasta machine further includes: obtaining the content of residual water in the dough mixing bucket of the pasta machine; and determining a first correction value and a second correction value based on the content of residual water.

[0015] According to one embodiment of the present invention, determining a weight grade based on the weight of flour includes: determining a first weight grade when the weight of flour is less than a first preset weight; determining a second weight grade when the weight of flour is greater than a second preset weight, wherein the first preset weight is less than the second preset weight; and determining a third weight grade when the weight of flour is greater than or equal to the first preset weight and less than or equal to the second preset weight.

[0016] According to one embodiment of the present invention, the first preset weight ranges from 250g to 300g, and the second preset weight ranges from 500g to 600g.

[0017] According to one embodiment of the present invention, when the dough kneading time reaches the set time, the control method of the above-mentioned pasta machine further includes: determining the dough output time of the pasta machine according to the current weight grade; and controlling the dough output of the pasta machine according to the dough output time.

[0018] According to an embodiment of the present invention, during the process of controlling the noodle-making machine to dispense noodles, the control method of the noodle-making machine further includes: detecting and identifying the operating power of the noodle-making machine; determining that the noodle-making machine has completed dispensing when the operating power is less than a first preset power threshold; controlling the noodle-making machine to enter a fault protection state when the operating power is greater than a second preset power threshold, wherein the first preset power threshold is less than the second preset power threshold; controlling the noodle-making machine to reach the dispensing time when the operating power is greater than or equal to the first preset power threshold and less than or equal to the second preset power threshold; and controlling the noodle-making machine to reverse for a preset time when the operating power is less than the first preset power threshold or greater than the second preset power threshold.

[0019] To achieve the above objectives, a second aspect of the present invention provides a control device for a pasta machine, comprising: an acquisition module for acquiring the weight of flour to be kneaded; a weight grade determination module for determining the weight grade based on the flour weight; a water quantity determination module for determining a preset water quantity value based on the flour weight and the weight grade; and a control module for controlling the working components of the pasta machine to knead the flour to be kneaded according to the preset water quantity value.

[0020] The control device for a pasta machine according to an embodiment of the present invention acquires the weight of the flour to be kneaded through an acquisition module, determines the weight grade based on the flour weight through a weight grade determination module, determines a preset water amount based on the flour weight and weight grade through a water amount determination module, and controls the working components of the pasta machine to knead the flour according to the preset water amount. Thus, by classifying the flour by weight, determining corresponding preset water amounts based on different weight grades, and controlling the working components of the pasta machine to knead the dough according to the preset water amounts, the device improves the automation level of the pasta machine, resulting in better kneading effects and an enhanced user experience.

[0021] To achieve the above objectives, a third aspect of the present invention provides a computer-readable storage medium storing a control program for a pasta machine, which, when executed by a processor, implements the above-described control method for the pasta machine.

[0022] The computer-readable storage medium of this invention, by executing the above-described control method for a pasta machine, can improve the automation level of the pasta machine, resulting in better dough mixing and enhanced user experience.

[0023] To achieve the above objectives, a fourth aspect of the present invention provides a pasta machine, comprising: a memory, a processor, and a control program for the pasta machine stored in the memory and executable on the processor. When the processor executes the control program for the pasta machine, it implements the above-described control method for the pasta machine.

[0024] According to the present invention, by executing the above-described control method for the pasta machine, the automation level of the pasta machine can be improved, resulting in better dough mixing and enhanced user experience.

[0025] To achieve the above objectives, a fifth aspect of the present invention provides another pasta machine, comprising: a working component; a water supply component; a drive component for transmitting water from the water supply component to the working component; a flour detection component for obtaining the weight of the flour to be kneaded; and a control component for determining a weight grade based on the flour weight, determining a preset water amount based on the flour weight and weight grade, and controlling the working component to knead the flour to be kneaded based on the preset water amount.

[0026] According to the present invention, the control component of the pasta machine grades the flour by weight, determines the corresponding preset water value according to different weight grades, and controls the working component of the pasta machine to knead the dough according to the preset water value. This improves the automation level of the pasta machine, makes the kneading effect better, and enhances the user experience.

[0027] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0028] Figure 1 A flowchart of a control method for a pasta machine according to an embodiment of the present invention;

[0029] Figure 2 A flowchart illustrating a control method for a pasta machine according to a specific example of the present invention;

[0030] Figure 3 This is a block diagram of the control device for a pasta machine according to an embodiment of the present invention;

[0031] Figure 4 This is a block diagram of a pasta machine according to an embodiment of the present invention;

[0032] Figure 5 This is a schematic diagram of a pasta machine according to an embodiment of the present invention. Detailed Implementation

[0033] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0034] The following description, with reference to the accompanying drawings, outlines the control method, control device, computer-readable storage medium, and pasta machine of the present invention.

[0035] In one embodiment of the present invention, such as Figure 5 As shown, the pasta machine may include: a working component 301, a water supply component 302, a drive component 303, a flour detection component (not shown in the figure), and a control component 305. The working component 301 is a dough mixing bowl, the water supply component 302 is a water tank, and the drive component 303 is a water pump with a default drive voltage of 6V, used to transfer water from the water supply component 302 to the working component 301. The flour detection component is used to obtain the weight of the flour to be mixed. The control component 305 is used to determine the weight grade based on the flour weight, determine a preset water volume value based on the flour weight and weight grade, and control the working component 301 to process the flour to be mixed according to the preset water volume value. Figure 1 This is a flowchart of a control method for a pasta machine according to an embodiment of the present invention.

[0036] like Figure 1 As shown, the control method of the pasta machine in this embodiment of the invention may include the following steps:

[0037] S1, get the weight of the flour to be kneaded.

[0038] S2, the weight grade is determined based on the weight of the flour.

[0039] S3 determines the preset water amount based on the flour weight and weight grade.

[0040] S4 controls the working components of the pasta machine to knead the flour to be kneaded according to the preset water value.

[0041] Specifically, the amount of flour directly affects the kneading result. For example, if there is less flour and more water is added, the dough will be very sticky, affecting the texture of the noodles and providing a poor user experience. Conversely, if there is more flour and less water is added, the dough will be drier, making it difficult for a pasta machine to extrude noodles. Therefore, to knead a more elastic dough, the appropriate amount of water needs to be determined based on the weight of the flour.

[0042] First, the weight of the flour to be kneaded is obtained through a flour detection component, for example, by weighing the flour using a Bluetooth scale. This weight is then sent to the pasta machine via Bluetooth. After receiving the flour weight, the pasta machine categorizes it into different weight classes, each corresponding to a different weight range and a different preset water level. Once the weight class is determined, the corresponding water level correction value, i.e., the preset water level, can be determined. The heavier the flour, the higher the preset water level; conversely, the lighter the flour, the lower the preset water level. The pasta machine controls the water pump's output based on the preset water level. The water pumped is measured by a flow meter, such as a Hall effect flow meter, which calculates the Hall effect value per unit time to determine the water volume. When the water volume reaches the preset value, the water pump stops. After the water pump stops, the pasta machine can begin kneading the flour.

[0043] The specific workflow of the control method for the pasta machine of the present invention is described in detail below.

[0044] According to one embodiment of the present invention, determining a preset water content based on flour weight and weight grade includes: obtaining the type of flour to be kneaded and determining the water-to-flour ratio based on the flour type; obtaining a reference preset water content based on flour weight and water-to-flour ratio; obtaining a correction value corresponding to the current weight grade; and determining a preset water content based on the reference preset water content and the correction value corresponding to the current weight grade. According to another embodiment of the present invention, the weight grades include a first weight grade, a second weight grade, and a third weight grade. Determining a preset water content based on the reference preset water content and the correction value corresponding to the current weight grade includes: when the weight grade is the first weight grade, determining a preset water content based on the difference between the reference preset water content and the first correction value; when the weight grade is determined to be the second weight grade, determining a preset water content based on the sum of the reference preset water content and the second correction value; and when the weight grade is determined to be the third weight grade, determining a preset water content based on the reference preset water content.

[0045] Specifically, the type of flour to be kneaded is determined. Different flour types correspond to different water-to-flour ratios; for example, the water-to-flour ratio for chewy noodles is 35%, while for regular noodles it is 50%. After determining the water-to-flour ratio based on the flour type, a preset reference water amount can be calculated based on the flour weight and the water-to-flour ratio. For example, the preset reference water amount is the product of the flour weight and the water-to-flour ratio. Therefore, determining the preset reference water amount based on different flour types and weights can improve the success rate of dough making. The weight of the flour determines the corresponding weight grade; for example, the weight grade can be first weight grade, second weight grade, and third weight grade. Different weight grades correspond to different correction values. The correction value corresponding to the current weight grade is obtained based on the flour weight, and the preset water amount is determined based on the preset reference water amount and the correction value corresponding to the current weight grade. For example, when the weight level is first, it indicates a relatively small amount of flour. The amount of water can be reduced appropriately to prevent the dough from being too thin. For instance, the preset water value is the reference preset water value minus the first correction value (e.g., the first correction value is 2g). When the weight level is second, it indicates a relatively large amount of flour. The amount of water can be increased appropriately to prevent the dough from being too dry. For instance, the preset water value is the reference preset water value plus the second correction value (e.g., the second correction value is 3g). When the weight level is third, it indicates a moderate amount of flour. The reference preset water value can be used directly without correction. This allows for tiered processing of the preset water value, adjusting the reference preset water value according to different flour weights, which can improve the success rate of dough production.

[0046] According to one embodiment of the present invention, the control method of the pasta machine further includes: obtaining the content of residual water in the dough mixing bucket of the pasta machine; and determining a first correction value and a second correction value based on the content of residual water.

[0047] Specifically, when determining the first and second correction values, the magnitude of the correction value can also be determined based on the residual water content in the dough mixing bucket of the pasta machine. For small batches (first weight class), the preset water quantity is calculated as: water weight * water-to-flour ratio - deviation compatibility value (the deviation compatibility value is set according to the actual prototype, generally 2g-10g). Because small batches of flour require high precision in water measurement, residual water remains on the bucket wall after washing. If the weight of this residual water is not subtracted during compatibility testing, the dough will be too wet, leading to dough failure. The deviation compatibility value is the amount of water that needs to be subtracted to compensate for the excess residual water after washing the dough mixing bucket. For medium batches (third weight class), the preset water quantity is calculated as: water weight * water-to-flour ratio. For large quantities (second weight class), the preset water content is calculated as: flour weight * water-to-flour ratio + deviation compatibility value (the deviation compatibility value is set according to the actual prototype, generally 0g-15g). Due to the longer preparation time for large quantities of flour, some trace amounts of moisture may evaporate. Therefore, it's necessary to adjust the water content to improve compatibility. If the deviation compatibility value is not adjusted, the dough may become too dry; if too much water is added, the dough may not knead or be successfully extruded. Implementing graded preset water content processing can improve the success rate of dough extrusion. Therefore, based on the residual water content in the dough mixer's kneading bucket, a first correction value and a second correction value are determined. Further adjustments to the preset water content based on these correction values ​​and a reference preset water content can further improve the success rate of dough extrusion.

[0048] According to one embodiment of the present invention, determining a weight grade based on the flour weight includes: determining a first weight grade when the flour weight is less than a first preset weight; determining a second weight grade when the flour weight is greater than a second preset weight, wherein the first preset weight is less than the second preset weight; and determining a third weight grade when the flour weight is greater than or equal to the first preset weight and less than or equal to the second preset weight. The first preset weight ranges from 250g to 300g, and the second preset weight ranges from 500g to 600g. For example, the first preset weight can be 300g, and the second preset weight can be 600g. Specifically, when the obtained flour weight is less than 300g, it is defined as a small quantity (first weight grade); when the obtained flour weight is greater than 600g, it is defined as a large quantity (second weight grade); and when the obtained flour weight is greater than or equal to 300g and less than or equal to 600g, it is defined as a medium quantity (third weight grade).

[0049] For example, when the weight of flour measured using a Bluetooth scale is 200g (less than the first preset weight), the weight class is determined to be the first weight class. The first correction value is determined to be 2 based on the residual water content in the mixing bucket. The reference water preset value can be calculated based on the water-to-flour ratio determined by the flour weight of 200g and the flour type (e.g., water-to-flour ratio of 34%). The water preset value can be obtained by the difference between the reference water preset value and the first correction value: 200*34%-2=66g. Thus, when the amount of flour is small, less water is added, so that the dough is not too sticky and does not affect the taste. When the weight of flour measured using the Bluetooth scale is 800g (greater than the second preset weight), the weight class is determined to be the second weight class. Based on the residual water content in the mixing bowl, a second correction value of 3 is determined. The reference water preset value is calculated based on the water-to-flour ratio determined by the flour weight (800g) and flour type (e.g., 34%). The sum of the reference water preset value and the second correction value yields the preset water value: 800 * 34% + 3 = 275g. This allows for the addition of more water when there is a larger amount of flour, preventing the dough from becoming too dry. When the weight of flour measured using the Bluetooth scale is 500g (greater than the first preset weight but less than the second preset weight), the weight class is determined to be the third weight class. The reference water preset value is calculated based on the water-to-flour ratio determined by the flour weight (500g) and flour type (e.g., 34%). This reference water preset value is the preset water value: 500 * 34% = 170g. Once the preset water volume is determined, water can be added for kneading. Water can be pumped in using a water pump, and the flow rate is calculated in real time via a flow meter. When the water volume reaches the preset value, the water pump stops working. After the water pump stops working, the dough machine can knead for 3 minutes, then let the dough rest for 4 minutes, and finally proceed to the dough output stage.

[0050] According to one embodiment of the present invention, when the dough kneading time reaches a set time, the control method of the above-mentioned pasta machine further includes: determining the dough output time of the pasta machine according to the current weight grade; and controlling the dough output of the pasta machine according to the dough output time. The set time can be determined according to actual conditions.

[0051] Specifically, when the dough kneading process reaches the set time, for example, after kneading for three minutes and resting for four minutes (resting allows the proteins in the dough to restore their proper spatial configuration, improving the dough's elasticity and extensibility; when a more chewy texture is desired, the resting time can be longer, for example, eight minutes, which makes the noodles more resilient and less prone to breakage), the noodle-making machine's output can be controlled. The noodle-making machine's output time can be determined based on the current weight class. For example, when the current weight class is level one, the noodle-making machine's output time can be 10-25 minutes; when the current weight class is level two, the output time can be 45-50 minutes; and when the current weight class is level three, the output time can be 25-35 minutes. After determining the output time, the noodle-making machine's output can be controlled accordingly. This reduces the total noodle-making time when the flour weight is low, avoiding prolonged machine operation, saving energy, and shortening the time it takes for the user to enjoy the noodles.

[0052] According to an embodiment of the present invention, during the process of controlling the noodle-making machine to dispense noodles, the control method of the noodle-making machine further includes: detecting and identifying the operating power of the noodle-making machine; determining that the noodle-making machine has completed dispensing when the operating power is less than a first preset power threshold; controlling the noodle-making machine to enter a fault protection state when the operating power is greater than a second preset power threshold, wherein the first preset power threshold is less than the second preset power threshold; controlling the noodle-making machine to reach the dispensing time when the operating power is greater than or equal to the first preset power threshold and less than or equal to the second preset power threshold; and controlling the noodle-making machine to reverse for a preset time when the operating power is less than the first preset power threshold or greater than the second preset power threshold. The first preset power threshold can be determined according to actual conditions, for example, the first preset power threshold can be 100W; the second preset power threshold can be determined according to actual conditions, for example, the second preset power threshold can be 250W; and the preset time can be determined according to actual conditions, for example, the preset time can be 30s.

[0053] Specifically, during the noodle-making stage, the machine's operating power is detected and identified. When the machine's operating power is less than a first preset power threshold, the machine enters low-power processing, indicating that the noodles have been mixed and the motor is idling. At this point, it is not necessary to wait for the machine to reach the noodle-making time; the machine can be stopped. This allows customers to enjoy noodles without waiting for the noodle-making time to be reached, thus improving the user experience.

[0054] When the operating power of the pasta machine exceeds the second preset power threshold, for example, when the operating power of the pasta machine exceeds 250W, the pasta machine is controlled to enter the fault protection state for safety protection and to improve the reliability of the pasta machine.

[0055] When the operating power of the pasta machine is greater than or equal to the first preset power threshold and less than or equal to the second preset power threshold, for example, when the operating power of the pasta machine is greater than or equal to 100W and less than or equal to 250W, the working time of the pasta machine is controlled to reach the noodle-making time, thereby controlling the noodle-making machine to make noodles according to the corresponding noodle-making time.

[0056] When the operating power of the pasta machine is less than the first preset power threshold or greater than the second preset power threshold, the machine is reversed for a preset time (e.g., 30 seconds), and then the operating power is checked again. This prevents false triggering that could cause the operating power to be too low or too high, thus improving detection accuracy. Additionally, because dough is sticky, some dough may adhere to the cup. The motor's rotation can re-mix the dough fragments back into the dough, avoiding flour waste and facilitating cleaning of the components.

[0057] The following is combined with Figure 2 The control method of the present invention will be described below.

[0058] As a specific example, the control method of the pasta machine of the present invention may include the following steps:

[0059] S101, obtain the flour weight and flour type, and determine the water-to-flour ratio based on the flour type.

[0060] S102, obtains a preset reference water amount based on the flour weight and water-to-flour ratio.

[0061] S103, classify flour by weight grade and obtain the corresponding correction value for each weight grade.

[0062] S104. Determine if the weight of the flour is less than the first preset weight. If yes, proceed to step S105; otherwise, proceed to step S107.

[0063] S105 is a first-class weight class.

[0064] S106, determine the preset water volume value based on the difference between the reference preset water volume value and the first correction value, and execute step S112.

[0065] S107, Determine whether the weight of the flour is greater than the second preset weight. If yes, proceed to step S108; if no, proceed to step S110.

[0066] S108 is classified as a second-weight class.

[0067] S109, determine the preset water volume value based on the sum of the reference water volume preset value and the second correction value, and execute step S112.

[0068] S110 is a third-weight class vehicle.

[0069] S111, determine the preset water volume value based on the reference preset water volume value, and execute step S112.

[0070] S112, the water pump is working to pump water.

[0071] S113, determine whether the water pumping has reached the preset water volume calculated by the flow meter. If yes, proceed to step S114; if no, proceed to step S112.

[0072] S114, knead the dough for three minutes, then let it rest for four minutes.

[0073] S115, the extrusion time is determined according to the weight class.

[0074] S116, first weight class, 20 minutes; second weight class, 35 minutes; third weight class, 25 minutes.

[0075] S117, Detect whether the power of the pasta machine is greater than the second preset power threshold. If yes, proceed to step S118; if no, proceed to step S119.

[0076] S118, after the pasta machine reverses for a preset time, the control system will activate the pasta machine to enter fault protection mode.

[0077] S119, Detect whether the power of the pasta machine is less than the first preset power threshold. If yes, proceed to step S120; if no, proceed to step S122.

[0078] S120, after controlling the pasta machine to reverse for a preset time, confirm that the pasta machine has finished producing noodles.

[0079] S121, pasta machine in standby mode.

[0080] S122 controls the working time of the pasta machine to reach the dough production time.

[0081] S123 controls the dough output of the pasta machine according to the dough output time.

[0082] In summary, the control method for a pasta machine according to embodiments of the present invention first obtains the weight of the flour to be kneaded, then determines the weight grade based on the flour weight, finally determines a preset water value based on the flour weight and weight grade, and controls the working components of the pasta machine to knead the flour according to the preset water value. Therefore, this method improves the automation level of the pasta machine by classifying the flour by weight, determining corresponding preset water values ​​based on different weight grades, and controlling the working components of the pasta machine to knead the dough according to the preset water value. This results in better kneading performance and an enhanced user experience.

[0083] Corresponding to the above embodiments, the present invention also proposes a control device for a pasta machine.

[0084] like Figure 3 As shown, the control device 100 for the pasta machine proposed in this embodiment of the invention includes: an acquisition module 110, a weight grade determination module 120, a water quantity determination module 130, and a control module 140.

[0085] The module 110 is used to acquire the weight of the flour to be kneaded. The weight grade determination module 120 is used to determine the weight grade based on the flour weight. The water quantity determination module 130 is used to determine a preset water quantity value based on the flour weight and weight grade. The control module 140 is used to control the working components of the pasta machine to knead the flour to be kneaded according to the preset water quantity value.

[0086] According to one embodiment of the present invention, the water quantity determination module 130 determines a preset water quantity value based on the flour weight and weight grade. Specifically, it is used to: obtain the type of flour to be kneaded and determine the water-to-flour ratio based on the flour type; obtain a reference preset water quantity value based on the flour weight and water-to-flour ratio; obtain a correction value corresponding to the current weight grade; and determine a preset water quantity value based on the reference preset water quantity value and the correction value corresponding to the current weight grade. According to one embodiment of the present invention, the weight grade includes a first weight grade, a second weight grade, and a third weight grade. The water quantity determination module 130 determines a preset water quantity value based on the reference preset water quantity value and the correction value corresponding to the current weight grade. Specifically, it is used to: determine a preset water quantity value based on the difference between the reference preset water quantity value and the first correction value when the weight grade is the first weight grade; determine a preset water quantity value based on the sum of the reference preset water quantity value and the second correction value when the weight grade is the second weight grade; and determine a preset water quantity value based on the reference preset water quantity value when the weight grade is the third weight grade.

[0087] According to one embodiment of the present invention, the water content determination module 130 is further configured to: obtain the content of residual water in the dough mixing bucket of the pasta machine; and determine a first correction value and a second correction value based on the content of residual water.

[0088] According to one embodiment of the present invention, the weight grade determination module 120 determines the weight grade based on the weight of the flour, specifically for: determining the weight grade as a first weight grade when the weight of the flour is less than a first preset weight; determining the weight grade as a second weight grade when the weight of the flour is greater than a second preset weight, wherein the first preset weight is less than the second preset weight; and determining the weight grade as a third weight grade when the weight of the flour is greater than or equal to the first preset weight and less than or equal to the second preset weight.

[0089] According to one embodiment of the present invention, the first preset weight ranges from 250g to 300g, and the second preset weight ranges from 500g to 600g.

[0090] According to one embodiment of the present invention, the control module 140 is further configured to determine the dough output time of the pasta machine based on the current weight grade when the dough kneading time reaches a set time; and control the dough output of the pasta machine based on the dough output time.

[0091] According to one embodiment of the present invention, the control module 140, during the process of controlling the noodle machine to dispense noodles, is specifically configured to: detect and identify the operating power of the noodle machine; determine that the noodle machine has finished dispensing noodles when the operating power is less than a first preset power threshold; control the noodle machine to enter a fault protection state when the operating power is greater than a second preset power threshold, wherein the first preset power threshold is less than the second preset power threshold; control the noodle machine to reach the dispensing time when the operating power is greater than or equal to the first preset power threshold and less than or equal to the second preset power threshold; and control the noodle machine to reverse a preset time when the operating power is less than the first preset power threshold or greater than the second preset power threshold.

[0092] It should be noted that for details not disclosed in the control device of the pasta machine in this embodiment of the invention, please refer to the details disclosed in the control method of the pasta machine in this embodiment of the invention, which will not be repeated here.

[0093] The control device for a pasta machine according to an embodiment of the present invention acquires the weight of the flour to be kneaded through an acquisition module, determines the weight grade based on the flour weight through a weight grade determination module, determines a preset water amount based on the flour weight and weight grade through a water amount determination module, and controls the working components of the pasta machine to knead the flour according to the preset water amount. Thus, by classifying the flour by weight, determining corresponding preset water amounts based on different weight grades, and controlling the working components of the pasta machine to knead the dough according to the preset water amounts, the device improves the automation level of the pasta machine, resulting in better kneading effects and an enhanced user experience.

[0094] Corresponding to the above embodiments, the present invention also proposes a computer-readable storage medium.

[0095] The computer-readable storage medium of this invention stores a control program for a pasta machine, which, when executed by a processor, implements the aforementioned control method for the pasta machine.

[0096] The computer-readable storage medium of this invention, by executing the above-described control method for a pasta machine, can improve the automation level of the pasta machine, resulting in better dough mixing and enhanced user experience.

[0097] Corresponding to the above embodiments, the present invention also proposes a pasta machine.

[0098] like Figure 4As shown, the pasta machine 200 of this embodiment may include: a memory 210, a processor 220, and a control program for the pasta machine stored in the memory 210 and executable on the processor 220. When the processor 220 executes the control program for the pasta machine, it implements the above-described control method for the pasta machine.

[0099] The pasta machine of this invention, by executing the above-described control method, can improve the automation level of the pasta machine, resulting in better dough mixing and enhanced user experience.

[0100] Corresponding to the above embodiments, the present invention also proposes a pasta machine.

[0101] like Figure 5 As shown, the pasta machine 300 of this embodiment may include: a working component 301, a water supply component 302, a drive component 303, a flour detection component (not shown in the figure) and a control component 305.

[0102] The drive component 303 is used to transfer water from the water supply component 302 to the working component 301. The flour detection component is used to obtain the weight of the flour to be kneaded. The control component 305 is used to determine the weight grade based on the flour weight, determine the preset water value based on the flour weight and weight grade, and control the working component 301 to knead the flour to be kneaded based on the preset water value.

[0103] According to one embodiment of the present invention, the control component 305 determines a preset value of water quantity based on the flour weight and weight grade, specifically for: obtaining the type of flour to be kneaded and determining the water-to-flour ratio based on the flour type; obtaining a reference preset value of water quantity based on the flour weight and water-to-flour ratio; obtaining a correction value corresponding to the current weight grade; and determining a preset value of water quantity based on the reference preset value of water quantity and the correction value corresponding to the current weight grade.

[0104] According to one embodiment of the present invention, the weight class includes a first weight class, a second weight class, and a third weight class. The control component 305 determines the water volume preset value based on a reference water volume preset value and a correction value corresponding to the current weight class. Specifically, it is used to: determine the water volume preset value based on the difference between the reference water volume preset value and the first correction value when the weight class is the first weight class; determine the water volume preset value based on the sum of the reference water volume preset value and the second correction value when the weight class is determined to be the second weight class; and determine the water volume preset value based on the reference water volume preset value when the weight class is determined to be the third weight class.

[0105] According to one embodiment of the present invention, the control component 305 is further configured to: obtain the content of residual water in the dough mixing bucket of the pasta machine; and determine a first correction value and a second correction value based on the content of residual water.

[0106] According to one embodiment of the present invention, the control component 305 determines the weight grade based on the flour weight, specifically for: determining the weight grade as a first weight grade when the flour weight is less than a first preset weight; determining the weight grade as a second weight grade when the flour weight is greater than a second preset weight, wherein the first preset weight is less than the second preset weight; and determining the weight grade as a third weight grade when the flour weight is greater than or equal to the first preset weight and less than or equal to the second preset weight.

[0107] According to one embodiment of the present invention, the first preset weight ranges from 250g to 300g, and the second preset weight ranges from 500g to 600g.

[0108] According to one embodiment of the present invention, the control component 305 is further configured to determine the dough output time of the pasta machine based on the current weight grade when the dough kneading time reaches a set time; and control the dough output of the pasta machine based on the dough output time.

[0109] According to one embodiment of the present invention, the control component 305, during the process of controlling the noodle-making machine to dispense noodles, is specifically configured to: detect and identify the operating power of the noodle-making machine; determine that the noodle-making machine has completed dispensing when the operating power is less than a first preset power threshold; control the noodle-making machine to enter a fault protection state when the operating power is greater than a second preset power threshold, wherein the first preset power threshold is less than the second preset power threshold; control the noodle-making machine to reach the dispensing time when the operating power is greater than or equal to the first preset power threshold and less than or equal to the second preset power threshold; and control the noodle-making machine to reverse a preset time when the operating power is less than the first preset power threshold or greater than the second preset power threshold.

[0110] It should be noted that for details not disclosed in the pasta machine of this embodiment, please refer to the details disclosed in the control method of the pasta machine of this embodiment, which will not be repeated here.

[0111] 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 embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, 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 it in another suitable manner if necessary, and then storing it in a computer memory.

[0112] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0113] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0114] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0115] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0116] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A control method for a pasta machine, characterized in that, include: Get the weight of the flour to be kneaded; The weight grade is determined based on the weight of the flour. The preset water content is determined based on the flour weight and the weight grade. as well as The working components of the pasta machine are controlled to knead the flour to be kneaded according to the preset water value. Determining the preset water content based on the flour weight and the weight grade includes: Obtain the type of flour to be kneaded, and determine the water-to-flour ratio based on the type of flour; A preset reference water content value is obtained based on the flour weight and the water-to-flour ratio; Obtain the correction value corresponding to the current weight class; The preset water volume value is determined based on the reference water volume preset value and the correction value corresponding to the current weight grade; the weight grade includes a first weight grade, a second weight grade, and a third weight grade, and the weight grade is determined based on the weight of the flour, including: When the weight of the flour is less than a first preset weight, the weight grade is determined to be the first weight grade; When the weight of the flour is greater than the second preset weight, the weight grade is determined to be the second weight grade, wherein the first preset weight is less than the second preset weight; When the weight of the flour is greater than or equal to the first preset weight and less than or equal to the second preset weight, the weight grade is determined to be the third weight grade; The water volume preset value is determined based on the reference water volume preset value and the correction value corresponding to the current weight class, including: When the weight class is the first weight class, the preset water volume value is determined by subtracting the first correction value from the preset reference water volume value. When the weight class is determined to be the second weight class, the preset water volume value is determined based on the preset reference water volume value plus the second correction value; When determining the weight class as the third weight class, the preset water volume value is determined based on the preset reference water volume value; further comprising: The content of residual water in the dough mixing bucket of the pasta machine is obtained; The first correction value and the second correction value are determined based on the content of the residual water.

2. The method according to claim 1, characterized in that, The first preset weight ranges from 250g to 300g, and the second preset weight ranges from 500g to 600g.

3. The method according to claim 1, characterized in that, When the dough kneading time reaches the set time, the method further includes: The noodle-making time of the pasta machine is determined based on the current weight class; The dough-producing machine is controlled to produce dough based on the dough-producing time.

4. The method according to claim 3, characterized in that In the process of controlling the dough output of the pasta machine, the method further includes: Detect and identify the operating power of the pasta machine; When the operating power is less than a first preset power threshold, it is determined that the noodle machine has finished producing noodles; When the operating power is greater than the second preset power threshold, the pasta machine is controlled to enter a fault protection state, wherein the first preset power threshold is less than the second preset power threshold; When the operating power is greater than or equal to the first preset power threshold and less than or equal to the second preset power threshold, the working time of the pasta machine is controlled to reach the noodle-making time; When the operating power is less than the first preset power threshold, or when the operating power is greater than the second preset power threshold, the pasta machine is controlled to reverse for a preset time.

5. A control device for a pasta machine, characterized in that, The control method for the pasta machine according to any one of claims 1-4 includes: The acquisition module is used to obtain the weight of the flour to be kneaded; A weight grade determination module is used to determine the weight grade based on the weight of the flour. A water quantity determination module is used to determine a preset water quantity value based on the flour weight and the weight grade; and The control module is used to control the working components of the pasta machine to knead the flour to be kneaded according to the preset water value.

6. A computer-readable storage medium, characterized in that, It stores a control program for a pasta machine, which, when executed by a processor, implements the control method for a pasta machine according to any one of claims 1-4.

7. A pasta machine, characterized in that, The system includes a memory, a processor, and a control program for a pasta machine stored in the memory and executable on the processor. When the processor executes the control program for the pasta machine, it implements the control method for the pasta machine according to any one of claims 1-4.

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