A method and apparatus for controlling a washing machine

Abstract

The application belongs to the technical field of household appliances, and particularly relates to a washing machine control method and device. The application aims to solve the problem of eccentricity caused by water-air ball in the existing washing process. The method comprises the following steps: before performing a water injection operation, rotating a washing tub of the washing machine, and obtaining a dry clothes rotating weight value of clothes in the washing tub; calculating a theoretical weight value of the clothes in a dehydration process according to the dry clothes rotating weight value; and detecting the weight value of the clothes in the dehydration process, and judging whether there is a dehydration abnormality according to the detected weight value and the theoretical weight value. In this way, the abnormal condition of the water-air ball generated in the dehydration process of washing a waterproof jacket or a down jacket can be accurately judged, the detection accuracy is improved, and the user experience of the washing machine is improved.

Description

Technical Field

[0001] This application belongs to the field of household appliance technology, specifically relating to a washing machine control method and device. Background Technology

[0002] With the development of automated sensing technology, abnormal detection in the dehydration process is being used in more and more products as an automated sensing technology.

[0003] In existing technologies, eccentricity detection can be used to detect abnormalities in the dehydration process by means of impact with the drum and acceleration sensors.

[0004] However, if water droplets are generated during the spin-drying process of washing a rain jacket or down jacket, the washing machine's eccentric detection method has difficulty detecting the water droplets in a timely and accurate manner. Therefore, the detection accuracy of spin-drying abnormalities is low, which affects the user's experience with the washing machine and reduces user satisfaction. Summary of the Invention

[0005] To address the aforementioned problems in the prior art, namely the issue of abnormal detection caused by water balloons during washing, this application provides a washing machine control method and apparatus that can determine whether water balloons are generated during spin-drying abnormalities, thereby improving the user experience.

[0006] In a first aspect, embodiments of this application provide a washing machine control method, the method comprising:

[0007] Before performing the water filling operation, the washing tub of the washing machine is controlled to rotate, and the dry rotation weight value of the clothes in the washing tub is obtained; the theoretical weight value of the clothes during the dehydration process is calculated based on the dry rotation weight value; during the dehydration process, the weight value of the clothes is detected, and the presence of dehydration abnormality is determined based on the detected weight value and the theoretical weight value.

[0008] In one possible implementation, the theoretical weight value is the theoretical weight value of the garment when it first reaches the first detection speed during the dehydration process; during the dehydration process, the weight value of the garment is detected, and a dehydration abnormality is determined based on the detected weight value and the theoretical weight value, including:

[0009] During the dehydration process, when the rotation speed of the washing tub reaches the first detection speed for the first time, the clothes in the washing tub are weighed to obtain a first weight value; based on the first weight value and the theoretical weight value, it is determined whether there is a dehydration abnormality.

[0010] In one possible implementation, determining whether a dehydration abnormality exists based on the first weight value and the theoretical weight value includes:

[0011] When the rotation speed of the washing tub increases to the second detection speed and then decreases to the first detection speed, the clothes in the washing tub are weighed to obtain a second weight value; based on the first weight value, the second weight value and the theoretical weight value, it is determined whether there is a dehydration abnormality.

[0012] In one possible implementation, determining whether a dehydration abnormality exists based on the first weight value, the second weight value, and the theoretical weight value includes:

[0013] If the first weight value minus the theoretical weight value is greater than the first threshold, then a dehydration abnormality is determined; if the first weight value minus the theoretical weight value is less than the first threshold but greater than the second threshold, then it is determined whether the first weight value minus the second weight value is less than the third threshold; if it is less, then a dehydration abnormality is determined.

[0014] In one possible implementation, before performing the water filling operation, the washing tub of the washing machine is controlled to rotate, and the dry rotation weight value of the clothes in the washing tub is obtained, including:

[0015] Based on the clothing information input by the user, and / or based on the clothing image captured by the washing machine's camera, determine whether the clothing is waterproof fabric; if it is waterproof fabric, control the washing machine's washing tub to rotate before performing the water injection operation, and obtain the dry rotation weight value of the clothing in the washing tub; wherein, the dehydration abnormality is that the clothing forms water balloons during the dehydration process.

[0016] In one possible implementation, multiple sets of data are obtained through repeated experiments. Each set of data includes the dry rotation weight value of the test garment and the weight value of the test garment detected during normal dehydration. Based on the multiple sets of data, a fitting algorithm is used to determine the correspondence between the dry rotation weight value and the theoretical weight value. Accordingly, the theoretical weight value of the garment during the dehydration process is calculated based on the dry rotation weight value, including:

[0017] Based on the dryer rotation weight value and the corresponding relationship, the theoretical weight value of the garment during the dehydration process is calculated.

[0018] In one possible implementation, after determining that there is a dehydration abnormality, the washing machine's pulsator is controlled to repeatedly agitate in the forward direction and / or repeatedly agitate in the reverse direction; after a preset agitation time, the dehydration operation continues.

[0019] In one possible implementation, if the number of times the dehydration abnormality is detected reaches a preset number, the washing machine is controlled to perform a water storage operation; after the water storage operation is completed, the dehydration operation is performed again; if a dehydration abnormality is detected during the dehydration process after the water storage operation, an alarm signal is generated.

[0020] Secondly, embodiments of this application provide a washing machine control device, the device comprising:

[0021] The acquisition module is used to control the washing tub of the washing machine to rotate before performing the water injection operation, and to acquire the dry rotation weight value of the clothes in the washing tub; the calculation module is used to calculate the theoretical weight value of the clothes during the dehydration process based on the dry rotation weight value; the judgment module is used to detect the weight value of the clothes during the dehydration process, and to judge whether there is a dehydration abnormality based on the detected weight value and the theoretical weight value.

[0022] In one possible implementation, the theoretical weight value is the theoretical weight value of the garment when it first reaches the first detection speed during the dehydration process; the judgment module is specifically used for:

[0023] During the dehydration process, when the rotation speed of the washing tub reaches the first detection speed for the first time, the clothes in the washing tub are weighed to obtain a first weight value; based on the first weight value and the theoretical weight value, it is determined whether there is a dehydration abnormality.

[0024] In one possible implementation, when the determination module determines whether there is a dehydration abnormality based on the first weight value and the theoretical weight value, it is specifically used for:

[0025] When the rotation speed of the washing tub increases to the second detection speed and then decreases to the first detection speed, the clothes in the washing tub are weighed to obtain a second weight value; based on the first weight value, the second weight value and the theoretical weight value, it is determined whether there is a dehydration abnormality.

[0026] In one possible implementation, when the determination module determines whether there is a dehydration abnormality based on the first weight value, the second weight value, and the theoretical weight value, it is specifically used for:

[0027] If the first weight value minus the theoretical weight value is greater than the first threshold, then a dehydration abnormality is determined; if the first weight value minus the theoretical weight value is less than the first threshold but greater than the second threshold, then it is determined whether the first weight value minus the second weight value is less than the third threshold; if it is less, then a dehydration abnormality is determined.

[0028] In one possible implementation, the acquisition module is specifically used for:

[0029] Based on the clothing information input by the user, and / or based on the clothing image captured by the washing machine's camera, determine whether the clothing is waterproof fabric; if it is waterproof fabric, control the washing machine's washing tub to rotate before performing the water injection operation, and obtain the dry rotation weight value of the clothing in the washing tub; wherein, the dehydration abnormality is that the clothing forms water balloons during the dehydration process.

[0030] In one possible implementation, the acquisition module is further configured to:

[0031] Multiple sets of data were obtained through repeated experiments. Each set of data included the dry rotation weight of the test garments and the weight of the test garments detected during normal dehydration. Based on the multiple sets of data, a fitting algorithm was used to determine the correspondence between the dry rotation weight and the theoretical weight. Accordingly, the calculation module is specifically used for:

[0032] Based on the dryer rotation weight value and the corresponding relationship, the theoretical weight value of the garment during the dehydration process is calculated.

[0033] In one possible implementation, the judgment module is specifically used for:

[0034] After confirming an abnormality in the spin cycle, control the washing machine's pulsator to repeatedly agitate in the forward direction and / or repeatedly agitate in the reverse direction; after the preset agitation time, continue the spin cycle.

[0035] In one possible implementation, the judgment module is specifically used for:

[0036] If the number of times the dehydration abnormality is detected reaches a preset number, the washing machine is controlled to perform a water storage operation; after the water storage operation is completed, the dehydration operation is performed again; if a dehydration abnormality is detected during the dehydration process after the water storage operation, an alarm signal is generated.

[0037] Thirdly, embodiments of this application provide a washing machine, which includes: a memory and at least one processor; the memory stores computer execution instructions; the at least one processor executes the computer execution instructions stored in the memory, causing the at least one processor to execute the washing machine control method provided in any embodiment corresponding to the first aspect of this application.

[0038] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the technical solution designed in the first aspect.

[0039] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the technical solution designed in the first aspect.

[0040] Those skilled in the art will understand that the washing machine control method and apparatus provided in the embodiments of this application can obtain the dry clothes rotation weight value, further calculate the theoretical weight value of the clothes during the dehydration process, and then determine whether the dehydration process is abnormal by comparing the theoretical weight value with the weight value of the clothes at different rotation speeds during the dehydration process. This can accurately judge the abnormal situation of water balloons generated during the dehydration process of washing rain jackets or down jackets, improve the detection accuracy, and enhance the user's experience with the washing machine. Attached Figure Description

[0041] Preferred embodiments of the washing machine control method and apparatus of this application will now be described with reference to the accompanying drawings. The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. The drawings are as follows:

[0042] Figure 1 This is an application scenario diagram of a washing machine control method provided in an embodiment of this application;

[0043] Figure 2 This is a flowchart illustrating a washing machine control method provided in an embodiment of this application;

[0044] Figure 3 This is a schematic diagram of the process for obtaining the dry rotation weight value of clothes in the washing tub according to an embodiment of this application;

[0045] Figure 4 This application provides a flowchart illustrating a process for determining whether a dehydration abnormality exists.

[0046] Figure 5 This application provides another flowchart for determining whether a dehydration abnormality exists.

[0047] Figure 6 This is a schematic diagram of a specific process for determining whether a dehydration abnormality exists, provided in an embodiment of this application.

[0048] Figure 7 This is a flowchart illustrating the method for calculating theoretical weight values ​​provided in an embodiment of this application;

[0049] Figure 8 This is a schematic diagram of a fitting algorithm provided in an embodiment of this application for determining the correspondence between the rotational weight value and the theoretical weight value of clothes drying;

[0050] Figure 9 This is a schematic diagram of the process for handling dehydration abnormalities provided in an embodiment of this application;

[0051] Figure 10 This is a schematic diagram illustrating the principle of a washing machine control method provided in an embodiment of this application;

[0052] Figure 11 This is a schematic diagram of the structure of the washing machine control device provided in the embodiments of this application;

[0053] Figure 12 This is a schematic diagram of the structure of the washing machine provided in the embodiments of this application. Detailed Implementation

[0054] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the embodiments of this application. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0055] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0056] The application scenarios of the embodiments of this application are explained below:

[0057] Figure 1 This is an application scenario diagram of a washing machine control method provided in an embodiment of this application, such as... Figure 1 As shown, when user A needs to do laundry, user A can place the laundry 102 to be washed into the washing tub of washing machine 101 and operate washing machine 101 to do laundry. The washing machine 101 can be equipped with a camera 1011 and a pulsator 1012. The camera 1011 can be used to capture images of the laundry 102 to be washed, and the pulsator 1012 can be used to drive the laundry 102 to rotate and tumble.

[0058] Among them, the washing machine can be an agitator washing machine, a pulsator washing machine, or other washing machines with a pulsator.

[0059] It should be noted that the specific location of the camera 1011 is not limited in this application embodiment. The camera 1011 can be installed in a position that can capture all the clothes 102 to be washed.

[0060] In some technologies, washing machines can use eccentric detection methods to detect abnormalities in the spin-drying process by detecting the impact of the laundry inside the washing tub with the washing machine's acceleration sensor.

[0061] However, if the garment to be washed is made of waterproof fabric, such as a rain jacket or down jacket, water balloons are easily formed during the spin-drying process. Current detection methods have low accuracy in detecting spin-drying abnormalities caused by water balloons. The presence of water balloons often results in high moisture content after washing rain jackets or down jackets, leading to customer complaints. Therefore, how to quickly and accurately detect spin-drying abnormalities caused by water balloons is an urgent problem to be solved.

[0062] To address the aforementioned issues, this application provides a washing machine control method. This method obtains the dry clothes rotation weight value by controlling the rotation of the washing tub, further calculates the theoretical weight value of the clothes during the spin-drying process, and then determines whether the spin-drying process is abnormal by comparing the theoretical weight value with the weight value of the clothes at different rotation speeds during the spin-drying process. This method can accurately obtain the dry clothes rotation weight value and accurately judge the abnormal situation of water balloons generated during the spin-drying process, improving the detection accuracy and enhancing the user's experience with the washing machine.

[0063] For example, Figure 2 This is a flowchart illustrating a washing machine control method provided in an embodiment of this application. Figure 2 As shown, the washing machine control method includes the following steps:

[0064] S201. Before performing the water filling operation, control the washing tub of the washing machine to rotate and obtain the dry rotation weight value of the clothes in the washing tub.

[0065] Specifically, obtaining the dryer rotation weight value is to obtain the weight value of the clothes to be washed during the rotation of the washing tub, which can improve the accuracy of the washing machine in obtaining the weight of the clothes to be washed.

[0066] For example, in Figure 1 In the application scenario shown, after the user places the laundry 102 into the washing machine 101, before the washing machine 101 performs the water filling operation, the washing tub of the washing machine 101 can be controlled to rotate. Furthermore, the dry rotation weight value of the laundry 102 in the washing tub can be obtained, for example, the dry rotation weight value of the laundry 102 in the washing tub is obtained as 1kg.

[0067] S202. Calculate the theoretical weight of the garment during the dehydration process based on the rotational weight value of the dryer.

[0068] In this embodiment of the application, the theoretical weight value may refer to the weight value calculated by a certain algorithm based on the rotation weight value of the clothes dryer. Different rotation weight values ​​of the clothes dryer correspond to different theoretical weight values. For example, if a certain rotation weight value of the clothes dryer is 1kg, then the weight value can be calculated as 1.5kg according to a certain algorithm.

[0069] For example, after the washing machine obtains the dry rotation weight value of the clothes to be washed in the washing tub, it can use a certain algorithm to calculate the theoretical weight value of the clothes to be washed during the dehydration process based on the dry rotation weight value.

[0070] S203. During the dehydration process, the weight of the clothing is measured, and the measured weight is compared with the theoretical weight to determine whether there is any dehydration abnormality.

[0071] Specifically, during the spin-drying process, the washing machine can have different spin speeds at different times, and at each spin speed, the weight of the clothes can be detected. For example, when the washing machine spins at 350 rpm, the weight of the clothes can be detected as 1.5 kg.

[0072] In this embodiment of the application, the dehydration abnormality can be that the clothing forms water balloons during the dehydration process.

[0073] For example, during the spin-drying process, the weight of the clothes can be detected at different speeds. Furthermore, the detected weight of the clothes at that speed can be compared with the theoretical weight at that speed to determine if there is any spin-drying abnormality. For instance, if the weight of the clothes is detected at 350 rpm, and the theoretical weight of the clothes at that speed is 1.5 kg, then by comparing the weight of the clothes at that speed ("2 kg") with the theoretical weight ("1.5 kg"), it can be determined whether there is a spin-drying abnormality, i.e., whether the clothes form water balloons during the spin-drying process.

[0074] Therefore, by obtaining the dryer's rotational weight value, the theoretical weight value of the clothes during the spin-drying process can be calculated. Then, by comparing the theoretical weight value with the weight value of the clothes at different rotation speeds during the spin-drying process, it can be determined whether there is any abnormality in the spin-drying process. This can accurately identify abnormal conditions such as water balloons generated during the spin-drying process of washing rain jackets or down jackets, improve the detection accuracy, and enhance the user's experience with the washing machine.

[0075] In one possible implementation, Figure 3 This is a schematic diagram of the process for obtaining the dry rotation weight value of clothes in the washing tub according to an embodiment of this application, as shown in the example. Figure 3 As shown, a further refinement of step S201 involves controlling the washing tub of the washing machine to rotate before performing the water injection operation, and obtaining the dry rotation weight value of the clothes in the washing tub, including the following steps:

[0076] S301. Based on the clothing information entered by the user, and / or based on the clothing image captured by the washing machine's camera, determine whether the clothing is waterproof fabric.

[0077] In this embodiment of the application, clothing information may refer to the type of clothing to be washed that the user inputs on the terminal device or washing machine, such as a windbreaker, down jacket, cotton short-sleeved shirt, jeans, etc.

[0078] In this embodiment of the application, the clothing image may refer to the image of the clothes to be washed captured by the built-in camera of the washing machine, which is used to analyze the clothing type information of the clothes to be washed in the image.

[0079] In this embodiment, waterproof fabric refers to a composite fabric made of a high-polymer waterproof and breathable material (PTFE membrane) and a cloth, which has waterproof function. For example, waterproof fabric can include microfiber insulation cotton, waterproof jacket fabric, waterproof nylon fabric, etc.

[0080] For example, a user can enter the clothing information of the garment to be washed as a down jacket on the washing machine. The washing machine can then determine that the down jacket is made of waterproof fabric based on the clothing information entered by the user.

[0081] Users can also place the clothes to be washed in the washing machine's drum and have the washing machine's camera take an image of the clothes to determine if they are made of waterproof fabric. For example, if the washing machine's camera captures an image of a down jacket, the image can be sent to the washing machine's central processing unit (CPU) to determine if the down jacket is made of waterproof fabric.

[0082] Understandably, after users input the clothing information into the washing machine, the machine can also use its camera to capture an image of the clothing to determine if it is waterproof. This improves the accuracy of the judgment and avoids incorrect conclusions made by the washing machine due to incorrect information input by the user.

[0083] S302. If the fabric is waterproof, before performing the water injection operation, control the washing tub of the washing machine to rotate and obtain the dry rotation weight value of the clothes in the washing tub.

[0084] For example, if the washing machine determines that the clothes to be washed in the washing tub are waterproof fabric, it can control the washing tub to rotate before the washing machine performs the water filling operation. Furthermore, it can obtain the dry rotation weight value of the clothes to be washed in the washing tub.

[0085] Therefore, before performing the water filling operation, the fabric of the clothes to be washed can be identified based on the clothing information entered by the user or the images of the clothes captured by the washing machine's camera. This further improves the accuracy of identifying the clothing material and the accuracy of obtaining the dry rotation weight value.

[0086] In one possible implementation, the theoretical weight value is the theoretical weight value of the garment when it first reaches the first detection speed during the dehydration process; Figure 4 This application provides a flowchart illustrating a process for determining whether a dehydration abnormality exists, as illustrated in the embodiments of this application. Figure 4 As shown, a further refinement of step S203 involves detecting the weight of the clothing during the dehydration process and determining whether there is a dehydration abnormality based on the detected weight value and the theoretical weight value, including the following steps:

[0087] S401. During the spin-drying process, when the washing tub reaches the first detection speed for the first time, the clothes in the washing tub are weighed to obtain the first weight value.

[0088] In this embodiment, the first detection speed can refer to the washing drum speed of the washing machine reaching a detectable speed. The weight of the clothes to be washed at this speed can reflect whether there is an abnormality in the dehydration. The first detection speed can be a fixed value, such as 350 rpm, or a range of values, such as 300-400 rpm. This embodiment does not make any specific limitation.

[0089] In this embodiment of the application, the first weight value may refer to the weight of the laundry in the washing tub of the washing machine detected at the first detection speed.

[0090] For example, during the spin-drying process, the washing machine's tub can be controlled to rotate. When the tub's rotation speed reaches the first detection speed for the first time, the load of laundry inside the tub is weighed to obtain a first weight value. For instance, when the tub's rotation speed reaches the first detection speed of 350 rpm for the first time, the first weight of the load of laundry inside the washing machine's tub can be measured to be 2 kg.

[0091] S402. Based on the first weight value and the theoretical weight value, determine whether there is a dehydration abnormality.

[0092] For example, the presence of dehydration abnormalities, i.e., the appearance of water balloons, can be determined by comparing the first weight value of the laundry in the washing tub of the washing machine measured at the first detection speed with the theoretical weight value of the laundry at the first detection speed.

[0093] Therefore, the first weight value can be measured when the first detection speed is reached for the first time, and compared with the calculated theoretical weight value. This allows for a simple determination of whether a spin-drying abnormality has occurred. The method is convenient, has a high accuracy rate, and can improve the user's washing machine experience.

[0094] In one possible implementation, Figure 5 This application provides another flowchart for determining whether a dehydration abnormality exists, as illustrated in the embodiments of this application. Figure 5 As shown, a further refinement of step S402, based on the first weight value and the theoretical weight value, determines whether there is a dehydration abnormality, including the following steps:

[0095] S501. When the washing tub's rotation speed increases to the second detection speed and then decreases to the first detection speed, the clothes inside the washing tub are weighed to obtain a second weight value.

[0096] In this embodiment of the application, the second detection speed may refer to the speed at which the washing tub of the washing machine reaches a detectable speed, at which the laundry in the washing tub of the washing machine can be quickly dehydrated. The second detection speed is greater than the first detection speed. The second detection speed may be a fixed value, such as 450 rpm, or a range of values, such as 400-500 rpm. This embodiment of the application does not make specific limitations.

[0097] In this embodiment of the application, the second weight value may refer to the weight of the laundry inside the washing tub of the washing machine detected at the first detection speed when the rotation speed of the washing tub rises to the second detection speed and then drops to the first detection speed.

[0098] For example, during the spin-drying process of the washing machine tub, when the tub's rotation speed increases to a second detection speed and then decreases to a first detection speed, the clothes inside the tub can be weighed to obtain a second weight value. For instance, if the first detection speed is 350 rpm, then when the tub's rotation speed increases to the second detection speed of 450 rpm and then decreases to the first detection speed of 350 rpm, the second weight value of the clothes to be washed inside the washing machine tub can be measured as 1.5 kg.

[0099] S502. Based on the first weight value, the second weight value, and the theoretical weight value, determine whether there is a dehydration abnormality.

[0100] Optionally, the presence of dehydration abnormalities can be determined based on the second weight value and the theoretical weight value.

[0101] For example, the second weight value of the laundry in the washing tub of the washing machine, measured when the first detection speed increases to the second detection speed and then decreases back to the first detection speed, can be compared with the theoretical weight value of the laundry when the first detection speed is reached again to determine whether there is a dehydration abnormality, i.e., the appearance of water balloons.

[0102] Optionally, the presence of dehydration abnormalities can be determined based on the first weight value, the second weight value, and the theoretical weight value.

[0103] For example, the weight of the laundry in the washing tub of the washing machine measured at the first detection speed, the weight of the laundry measured at the second detection speed and then at the first detection speed, can be compared with the theoretical weight of the laundry when the first detection speed is reached again to determine whether there is a dehydration abnormality, i.e., the appearance of water balloons.

[0104] Therefore, there are multiple options to determine whether there is an abnormality in the dehydration process, which can improve the accuracy of detection and enhance the user's experience with the washing machine.

[0105] In one possible implementation, Figure 6 This is a schematic diagram of a specific process for determining whether a dehydration abnormality exists, provided in an embodiment of this application. Figure 6 As shown, a further refinement of step S502, based on the first weight value, the second weight value, and the theoretical weight value, determines whether there is a dehydration abnormality, including the following steps:

[0106] S601. If the first weight value minus the theoretical weight value is greater than the first threshold, then it is determined that there is a dehydration abnormality.

[0107] In this embodiment of the application, the first threshold may refer to a theoretical value obtained through multiple experiments that can determine whether there is a dehydration abnormality. For example, the first threshold may be 2.5.

[0108] For example, if the first weight of the laundry in the washing machine drum measured at the first detection speed minus the theoretical weight of the laundry at the first detection speed is greater than a first threshold, then an abnormal dehydration is determined, i.e., water balloons appear. For example, if the first threshold is 2.5, and the first weight measured at the first detection speed is 4 kg, while the theoretical weight of the laundry at the first detection speed should be 1 kg, then the first weight minus the theoretical weight is 3, which is greater than the first threshold "2.5", thus an abnormal dehydration can be determined.

[0109] S602. If the first weight value minus the theoretical weight value is less than the first threshold but greater than the second threshold, then determine whether the first weight value minus the second weight value is less than the third threshold.

[0110] In this embodiment, the second threshold can refer to a theoretical value derived from multiple experiments that can determine whether a dehydration abnormality exists, wherein the second threshold is less than the first threshold. For example, the second threshold can be 1.5. The third threshold can refer to another theoretical value derived from multiple experiments that can determine whether a dehydration abnormality exists. It should be noted that the second threshold and the third threshold are theoretical values ​​used together to determine whether a dehydration abnormality exists.

[0111] For example, if the first weight value of the laundry in the washing tub of the washing machine measured at the first detection speed minus the theoretical weight value of the laundry at the first detection speed is less than the first threshold but greater than the second threshold, then it is necessary to further determine whether the first weight value minus the second weight value of the laundry in the washing tub of the washing machine measured at the first detection speed rising to the second detection speed and then falling back to the first detection speed is less than the third threshold.

[0112] For example, if the first threshold is 2.5, the second threshold is 1.5, and the third threshold is 0.2, and the first weight value measured at the first detection speed is 3kg, and the second weight value measured is 2.9kg, while the theoretical weight value of the laundry to be washed at the first detection speed should be 1kg, then the first weight value minus the theoretical weight value is 2, which is less than the first threshold "2.5" and greater than the second threshold "1.5". Therefore, it is necessary to continue to determine whether the first weight value minus the second weight value is less than the third threshold.

[0113] S603. If it is less than, then a dehydration abnormality is confirmed.

[0114] For example, if the first weight value minus the second weight value is less than the third threshold, it can be determined that there is a dehydration abnormality. For instance, if the first weight value is 3 kg, the second weight value is 2.9 kg, and the third threshold is 0.2, then the first weight value minus the second weight value is "0.1", which is less than the third threshold "0.2", so it can be determined that there is a dehydration abnormality and water balloons appear.

[0115] Understandably, if the second weight value minus the theoretical weight of the laundry to be washed at the first detection speed is greater than the first threshold, an abnormal dehydration can also be identified. The specific details are similar to S601 and will not be repeated here.

[0116] Therefore, if either condition S601 or S602 is met, it can be determined that a dehydration abnormality has occurred. This judgment method improves the accuracy of testing water balloons and can increase user satisfaction.

[0117] In one possible implementation, Figure 7 This is a flowchart illustrating the method for calculating the theoretical weight value provided in an embodiment of this application, as shown below. Figure 7As shown, it includes the following steps:

[0118] S701. Multiple sets of data were obtained through multiple experiments. Each set of data included the dry rotation weight of the test garment and the weight of the test garment detected during normal dehydration.

[0119] For example, as shown in Table 1, multiple sets of data can be obtained through multiple experiments. Specifically, the data in Table 1 can include the dry rotation weight value of the test clothing. For example, the second and third columns in Table 1 are the CPU readings corresponding to the dry rotation weight values ​​measured twice at 30 rpm, which correspond to the dry load clothing weight values ​​in the first column. The purpose of measuring the dry rotation weight values ​​twice at 30 rpm is to obtain a more accurate dry load clothing weight value. The average of the two dry rotation weight values ​​measured at 30 rpm can be taken as the final measured dry rotation weight value, as shown in the first column.

[0120] This may also include the weight of the test garments detected during normal dehydration. For example, columns four and five in Table 1 show the CPU readings corresponding to the first weight value measured at 350 rpm twice, which correspond to the first weight value in column six when the first weight value is reached at 350 rpm and the second weight value in column eight when the second weight value is reached at 350 rpm, respectively.

[0121] The seventh column in Table 1 shows the CPU readings corresponding to the theoretical weight value measured for the second time at 350 rpm.

[0122] Table 1

[0123] For example, as shown in Table 1, a set of test data was obtained where the dry load weight of the clothing was 1 kg, the first weight was 2.3 kg, and the second weight was 2.15 kg.

[0124] S702. Based on multiple sets of data, determine the correspondence between the dryer rotation weight value and the theoretical weight value through a fitting algorithm.

[0125] In this embodiment of the application, the fitting algorithm may refer to an algorithm that obtains a number of discrete data through sampling, experimentation, or other methods, and substitutes these data into a continuous mathematical function or a dense discrete equation that matches the data.

[0126] Specifically, Figure 8 This is a schematic diagram of a fitting algorithm provided in an embodiment of this application for determining the correspondence between the rotational weight value and the theoretical weight value of clothes drying.

[0127] like Figure 8As shown, the mean of the CPU readings corresponding to the dry load weight of clothing at 30 rpm in the second and third columns of Table 1 is fitted with the CPU readings corresponding to the theoretical weight at 350 rpm in the seventh column, resulting in a mathematical relationship for the dry load weight of clothing at 30 rpm: y = 1.8911x - 614.52, where y represents the theoretical weight and x represents the dry load weight of clothing. y increases or decreases as x increases or decreases.

[0128] Understandably, the fitting algorithm can also be a mathematical expression that calculates the dry load weight of the clothing and the theoretical weight value measured a second time at 350 rpm, similar to the method described above, and will not be repeated here.

[0129] Accordingly, the theoretical weight of the garment during the dehydration process is calculated based on the dry rotation weight value, including: calculating the theoretical weight of the garment during the dehydration process based on the dry rotation weight value and the corresponding relationship.

[0130] For example, the theoretical weight of the clothing during the dehydration process can be calculated based on the relationship y = 1.8911x - 614.52. For example, if x is 500, then y is 331.03. Furthermore, the specific weight of the theoretical weight can be calculated. This application embodiment does not specifically limit the algorithm for converting the CPU value into the specific weight.

[0131] Therefore, multiple sets of data can be obtained through repeated experiments. Furthermore, the correspondence between the drying rotation weight value and the theoretical weight value can be determined through a fitting algorithm. This makes it easier to derive the theoretical weight value based on any drying rotation weight value determined by the washing machine, which can be used to determine whether an abnormality has occurred in the dehydration process, thus improving the accuracy of the detection method.

[0132] In one possible implementation, after determining that there is a dehydration abnormality, the washing machine's pulsator is controlled to repeatedly agitate in the forward direction and / or repeatedly agitate in the reverse direction; after a preset agitation time, the dehydration operation continues.

[0133] In this embodiment, the preset time may refer to a time pre-set by the washing machine's CPU. This preset time is a value derived from extensive testing, and the water balloon can generally be destroyed within this preset time. For example, the preset time may be 2 minutes.

[0134] For example, after determining that the washing machine has a spin-drying abnormality, that is, water balloons appear on the clothes to be washed, the washing machine's impeller can be controlled to repeatedly agitate in the forward direction for a certain period of time. After agitating for a preset time, the spin-drying operation can continue.

[0135] Once water droplets appear on the clothes to be washed, you can control the washing machine's pulsator to repeatedly agitate in the opposite direction for a certain period of time. After agitating for the preset time, the spin-drying operation will continue.

[0136] Understandably, once water droplets appear on the clothes to be washed, the washing machine's pulsator can be controlled to repeatedly agitate in the forward direction for a certain period of time, and then the pulsator can be controlled to repeatedly agitate in the reverse direction for a certain period of time. After the agitation reaches the preset time, the spin-drying operation continues.

[0137] Therefore, when water balloons appear, their state can be disrupted, allowing users to perform high-speed dehydration when washing rain jackets or down jackets, reducing the moisture content and resolving user complaints.

[0138] In one possible implementation, Figure 9 This is a schematic diagram of the process for handling dehydration abnormalities provided in an embodiment of this application, as shown below. Figure 9 As shown, it includes the following steps:

[0139] S901. If the number of times the spin-drying abnormality is detected reaches the preset number, the washing machine is controlled to perform a water-filling operation.

[0140] In this embodiment, the preset number of times can refer to the number of times that the washing machine's CPU is set in advance. This preset number of times is a value obtained through a large number of tests, and it can also be modified by the user. For example, the preset number of times can be 3 times.

[0141] In this embodiment of the application, the water storage operation can refer to the operation of stopping the water intake after the water level reaches a certain level, and can include operations such as water intake and water drainage.

[0142] For example, after determining that there is a dehydration abnormality, the washing machine's pulsator can be controlled to agitate and break the water balloons before the dehydration operation is performed again. However, the dehydration abnormality may still occur after the dehydration operation is performed. If the number of dehydration abnormalities detected reaches a preset number, for example, after 3 times, the washing machine is controlled to perform a water storage operation.

[0143] S902. After the water storage operation is completed, the dehydration operation is performed again.

[0144] For example, after the washing machine has completed the water filling operation, the spin-drying operation can be performed again.

[0145] S903. If an abnormality in dehydration is detected during the dehydration process after water storage, an alarm signal will be generated.

[0146] In this embodiment, the alarm signal may refer to the alarm prompt information sent by the washing machine. The alarm signal may be in the form of sound, such as playing a piece of music, or in the form of voice prompt, such as "An abnormality has occurred in the spin-drying process, please check." The user is prompted by the voice prompt. Alternatively, the user may be prompted by displaying a red light on the washing machine's display panel and sending a prompt message "An abnormality has occurred in the spin-drying process." This embodiment does not specifically limit the form in which the alarm signal prompts the user.

[0147] For example, if the washing machine performs a spin-drying process after filling with water, and an abnormality is detected again during the spin-drying process, the washing machine will send an alarm signal.

[0148] Therefore, if water droplets appear on the clothes to be washed, this method can effectively solve the water droplet problem and resolve user complaints by performing a water storage operation followed by a spin-drying operation. If the spin-drying abnormality still occurs, a warning can be sent.

[0149] In conjunction with the above embodiments, Figure 10 This is a schematic diagram illustrating the principle of a washing machine control method provided in an embodiment of this application. Figure 10 As shown, the execution method steps of this application embodiment include:

[0150] Step A: Start the washing machine. Before filling with water, control the washing tub to rotate at 30 rpm for 10 seconds. Weigh the clothes to be washed in the tub to obtain the dry weight value.

[0151] Step B: Perform a 75-second wash cycle, followed by a spin-dry process. When the washing machine tub reaches the first detection speed of 350 rpm for the first time within 35 seconds, weigh the clothes to be washed in the tub to obtain the first weight value.

[0152] Step C: Within 15 seconds, control the washing machine drum speed to rise to the second detection speed of 450 rpm, and then within 20 seconds, reduce it to the first detection speed of 350 rpm. Weigh the clothes in the drum to obtain the second weight value.

[0153] Step D: Based on the dryer rotation weight value, the first weight value, the second weight value, and the theoretical weight value, determine whether an abnormal dehydration has occurred.

[0154] For example, if the second weight value minus the theoretical weight value is greater than 250, it can be determined that a dehydration abnormality has occurred, i.e., water balloons are generated; if the second weight value minus the theoretical weight value is less than 250 but greater than 150, and the first weight value minus the second weight value is less than 20, it can also be determined that a dehydration abnormality has occurred. It can be understood that 250 can be the size of the first threshold, 150 can be the size of the second threshold, and 20 can be the size of the third threshold. The above values ​​are just examples, and the embodiments of this application do not make specific limitations.

[0155] It is understood that washing machines can also perform a 95-second wash cycle. The embodiments of this application do not specifically limit the time for each step, and the above are only illustrative examples.

[0156] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0157] Figure 11 This is a schematic diagram of the structure of the washing machine control device provided in the embodiments of this application, as shown below. Figure 11 As shown, the washing control device includes: an acquisition module 1110, a calculation module 1120, and a judgment module 1130. The acquisition module 1110 is used to control the washing tub of the washing machine to rotate before performing the water injection operation, and to acquire the dry rotation weight value of the clothes in the washing tub. The calculation module 1120 is used to calculate the theoretical weight value of the clothes during the dehydration process based on the dry rotation weight value. The judgment module 1130 is used to detect the weight value of the clothes during the dehydration process, and to determine whether there is a dehydration abnormality based on the detected weight value and the theoretical weight value.

[0158] In one possible implementation, the theoretical weight value is the theoretical weight value of the garment when it first reaches the first detection speed during the dehydration process; the judgment module 1130 is specifically used for:

[0159] During the spin-drying process, when the washing tub reaches the first detection speed for the first time, the clothes in the washing tub are weighed to obtain the first weight value; based on the first weight value and the theoretical weight value, it is determined whether there is a spin-drying abnormality.

[0160] In one possible implementation, when the judgment module 1130 determines whether there is a dehydration abnormality based on the first weight value and the theoretical weight value, it is specifically used for:

[0161] When the washing tub spins up to the second detection speed and then down to the first detection speed, the clothes in the washing tub are weighed to obtain a second weight value. Based on the first weight value, the second weight value, and the theoretical weight value, it is determined whether there is any dehydration abnormality.

[0162] In one possible implementation, when the judgment module 1130 determines whether there is a dehydration abnormality based on the first weight value, the second weight value, and the theoretical weight value, it is specifically used for:

[0163] If the first weight value minus the theoretical weight value is greater than the first threshold, then a dehydration abnormality is determined; if the first weight value minus the theoretical weight value is less than the first threshold but greater than the second threshold, then it is determined whether the first weight value minus the second weight value is less than the third threshold; if it is less, then a dehydration abnormality is determined.

[0164] In one possible implementation, module 1110 is specifically used for:

[0165] Based on the clothing information entered by the user, and / or based on the clothing image captured by the washing machine's camera, determine whether the clothing is waterproof fabric; if it is waterproof fabric, control the washing machine's washing tub to rotate before performing the water injection operation, and obtain the dry rotation weight value of the clothing in the washing tub; wherein, the dehydration abnormality is when the clothing forms water balloons during the dehydration process.

[0166] In one possible implementation, the acquisition module 1110 is also used for:

[0167] Multiple sets of data were obtained through repeated experiments. Each set of data included the dry rotation weight of the test garments and the weight of the test garments detected during normal dehydration. Based on the multiple sets of data, a fitting algorithm was used to determine the correspondence between the dry rotation weight and the theoretical weight. Accordingly, the calculation module 1120 is specifically used for:

[0168] Based on the rotational weight values ​​of the clothes during the drying process and their corresponding relationships, the theoretical weight of the clothes during the dehydration process is calculated.

[0169] In one possible implementation, the judgment module 1130 is further used for:

[0170] After confirming an abnormality in the spin cycle, control the washing machine's pulsator to repeatedly agitate in the forward direction and / or repeatedly agitate in the reverse direction; after the preset agitation time, continue the spin cycle.

[0171] In one possible implementation, the judgment module 1130 is further used for:

[0172] If the number of times the spin-drying abnormality is detected reaches the preset number, the washing machine will be controlled to perform a water-filling operation; after the water-filling operation is completed, the spin-drying operation will be performed again; if a spin-drying abnormality is detected during the spin-drying process after the water-filling operation, an alarm signal will be generated.

[0173] Figure 12 This is a schematic diagram of the structure of the washing machine provided in the embodiments of this application, as shown below. Figure 12 As shown, the washing machine includes: a memory 1210 and at least one processor 1220; the memory 1210 stores computer execution instructions; the at least one processor 1220 executes the computer execution instructions stored in the memory 1210, causing the at least one processor 1220 to perform actions to implement the present application. Figures 2-10 The washing machine control method provided in any of the corresponding embodiments.

[0174] The memory 1210 and the processor 1220 are connected via a bus 1230.

[0175] For relevant instructions, please refer to the corresponding text. Figures 2-10 The relevant descriptions and effects corresponding to the steps will be understood, and will not be elaborated on here.

[0176] The specific implementation principle and effects of the washing machine control device provided in this application embodiment can be found in the relevant descriptions and effects of the above embodiments, and will not be elaborated further here.

[0177] This application also provides a computer-readable storage medium storing computer program execution instructions. When executed by a processor, the computer program is used to implement the computer program so that the server performs any of the washing machine control methods described in the foregoing embodiments of this application.

[0178] This application also provides a chip for executing instructions, which is used to perform the washing machine control method executed by the washing machine as described in any of the foregoing embodiments of this application.

[0179] This application also provides a computer program product, which includes a computer program stored in a storage medium. At least one processor can read the computer program from the storage medium. When the at least one processor executes the computer program, it can implement the washing machine control method executed by the washing machine as in any of the foregoing embodiments of this application.

[0180] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.

[0181] The modules described as separate components may or may not be physically separate. Similarly, the components shown as modules may or may not be physical modules; they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0182] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated module can be implemented in hardware or in a combination of hardware and software functional modules.

[0183] The integrated modules described above, implemented as software functional modules, can be stored in a computer-readable storage medium. These software functional modules, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0184] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and not to limit them; although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the protection scope of this application is obviously not limited to these specific embodiments. Without departing from the principles of this application, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of this application.

Claims

1. A washing machine control method, characterized in that, include: Based on the clothing information entered by the user, and / or based on the clothing images captured by the washing machine's camera, determine whether the clothing is waterproof fabric; If the fabric is waterproof, before performing the water injection operation, control the washing tub of the washing machine to rotate and obtain the dry rotation weight value of the clothes in the washing tub. The theoretical weight of the garment during the dehydration process is calculated based on the dryer rotation weight value. The theoretical weight value is the theoretical weight value of the garment when it first reaches the first detection speed during the dehydration process. During the dehydration process, when the rotation speed of the washing tub reaches the first detection speed for the first time, the clothes in the washing tub are weighed to obtain a first weight value; based on the detected first weight value and the theoretical weight value, it is determined whether there is a dehydration abnormality; wherein, the dehydration abnormality is that the clothes form water balloons during the dehydration process.

2. The method according to claim 1, characterized in that, Based on the first weight value and the theoretical weight value, determine whether there is a dehydration abnormality, including: When the rotation speed of the washing tub increases to the second detection speed and then decreases to the first detection speed, the clothes in the washing tub are weighed to obtain a second weight value. Based on the first weight value, the second weight value, and the theoretical weight value, determine whether there is a dehydration abnormality.

3. The method according to claim 2, characterized in that, Based on the first weight value, the second weight value, and the theoretical weight value, determine whether there is a dehydration abnormality, including: If the first weight value minus the theoretical weight value is greater than the first threshold, then it is determined that there is a dehydration abnormality; If the first weight value minus the theoretical weight value is less than the first threshold and greater than the second threshold, then determine whether the first weight value minus the second weight value is less than the third threshold. If it is less than, then there is definitely an abnormality in dehydration.

4. The method according to any one of claims 1-3, characterized in that, Also includes: Multiple sets of data were obtained through multiple experiments. Each set of data includes the dry rotation weight of the test garment and the weight of the test garment detected during normal dehydration. Based on the multiple sets of data, the correspondence between the dryer rotation weight value and the theoretical weight value is determined by a fitting algorithm; Accordingly, the theoretical weight of the garment during the dehydration process is calculated based on the dryer rotation weight value, including: Based on the dryer rotation weight value and the corresponding relationship, the theoretical weight value of the garment during the dehydration process is calculated.

5. The method according to claim 1, characterized in that, Also includes: Once a spin-drying abnormality is confirmed, control the washing machine's pulsator to repeatedly agitate in the forward direction and / or repeatedly agitate in the reverse direction. After stirring for the preset time, continue the dehydration process.

6. The method according to claim 5, characterized in that, Also includes: If the number of times the dehydration abnormality is detected reaches a preset number, the washing machine is controlled to perform a water storage operation; After the water storage operation is completed, the dehydration operation is repeated. If an abnormality is detected during the dehydration process after water storage, an alarm signal will be generated.

7. A washing machine control device, characterized in that, The device includes: The acquisition module is used to determine whether the clothing is waterproof fabric based on the clothing information input by the user and / or the clothing image captured by the washing machine's camera. If the fabric is waterproof, before performing the water injection operation, control the washing tub of the washing machine to rotate and obtain the dry rotation weight value of the clothes in the washing tub. The calculation module is used to calculate the theoretical weight of the garment during the dehydration process based on the rotational weight value of the dryer; the theoretical weight value is the theoretical weight of the garment when it first reaches the first detection speed during the dehydration process. The judgment module is used to detect the weight value of the garment during the dehydration process and determine whether there is a dehydration abnormality based on the detected weight value and the theoretical weight value; wherein, the dehydration abnormality is that the garment forms water balloons during the dehydration process; The judgment module is specifically used to weigh the clothes in the washing tub when the rotation speed of the washing tub reaches the first detection speed for the first time during the dehydration process, and obtain a first weight value; and to determine whether there is a dehydration abnormality based on the first weight value and the theoretical weight value.

8. A washing machine, characterized in that, include: Memory and at least one processor; The memory stores computer-executed instructions; The at least one processor executes computer execution instructions stored in the memory, causing the at least one processor to perform the method as described in any one of claims 1-6.

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