Laundry treating apparatus control method, device, washing machine, and storage medium

Abstract

This application provides a control method, apparatus, washing machine, and storage medium for a clothing processing device. The method includes: if the target clothing processing device is in operation, acquiring water flow data of the target clothing processing device; if it is determined that the water flow data of the target clothing processing device is abnormal, determining a target adjustment coefficient for the opening time of the inlet valve and a target opening degree of the inlet valve; determining a target opening time of the inlet valve based on the target adjustment coefficient; and controlling the inlet valve based on the target opening degree and target opening time. This application provides a control method for a clothing processing device that, when water inflow is abnormal, can alleviate the problems caused by the abnormal water inflow by adjusting the opening degree and time of the inlet valve.

Description

Technical Field

[0001] This application relates to the field of electrical technology, specifically to a control method, device, washing machine, and storage medium for a clothing processing equipment. Background Technology

[0002] Currently, in existing technologies, washing machines typically open the water inlet valve during the washing process, then use a water level sensor to determine the water level. Once the set water level is reached, the water supply stops. This is a common water inlet control solution in existing technologies. However, in some scenarios, low water pressure or pipe blockage can prolong the water inlet time, leading to longer washing times, reduced detergent dissolution, and decreased cleaning efficiency. Therefore, it is necessary to address the issue of abnormal water inlet operation. Summary of the Invention

[0003] This application provides a control method for a garment processing device. When there is an abnormality in the water inlet, the problem caused by the abnormal water inlet can be alleviated by adjusting the opening degree and time of the water inlet valve.

[0004] In a first aspect, this application provides a method for controlling a garment processing device, the method comprising: If the target clothing processing equipment is in operation, acquire the water flow data of the target clothing processing equipment; If it is determined that the water flow data of the target clothing processing equipment is abnormal, determine the target adjustment coefficient of the opening time of the water inlet valve in the target clothing processing equipment and the target opening degree of the water inlet valve; Based on the target adjustment coefficient, determine the target opening time of the water inlet valve in the target garment processing equipment; The inlet valve is controlled based on the target opening degree and the target opening time.

[0005] In some embodiments of this application, determining the target opening degree of the inlet valve includes: Based on the water flow data, determine the type of water inflow anomaly; Based on the type of water inlet abnormality, determine the target opening degree of the water inlet valve in the target clothing processing equipment.

[0006] In some embodiments of this application, determining the type of water inflow anomaly based on the water flow data includes: Perform water pressure analysis on the water flow data to determine the inlet water pressure and water flow velocity; If the inlet water pressure is less than the preset water pressure threshold, then the inlet water abnormality type is determined to be a low water pressure abnormality type; If the water flow velocity is less than a preset first velocity threshold, then the water inlet abnormality type is determined to be a severe pipe blockage type. If the water flow velocity is greater than or equal to the first flow velocity threshold and less than the preset second flow velocity threshold, then the water inlet abnormality type is determined to be a minor pipe blockage type.

[0007] In some embodiments of this application, the target adjustment coefficient includes a user habit adjustment coefficient and a current working condition adjustment coefficient; If it is determined that the water flow data of the target clothing processing equipment is abnormal, the step of determining the target adjustment coefficient for the opening time of the inlet valve in the target clothing processing equipment includes: If the water flow data of the target clothing processing device is determined to be abnormal, obtain the user habit adjustment coefficient stored based on historical user habits; Based on the water flow data, determine the adjustment coefficient for the current operating condition.

[0008] In some embodiments of this application, the current operating condition adjustment coefficient includes a water pressure correction coefficient, a clothing water absorption coefficient, a pipeline resistance correction coefficient, and a water level correction coefficient; The step of determining the current operating condition adjustment coefficient based on the water flow data includes: Based on the water flow data, determine the current water pressure, current water level, and current flow velocity; Determine the water pressure correction factor based on the current water pressure; The water absorption coefficient of the clothing is determined based on the change in the current water level. Determine the water level correction factor based on the current water level value; The degree of pipe blockage is determined based on the current flow rate and the current water pressure. The pipeline resistance correction coefficient is determined based on the degree of pipeline blockage.

[0009] In some embodiments of this application, determining the water absorption coefficient of the clothing based on the change in the current water level includes: Obtain information on the water level change within a target time period after water enters through the inlet valve; Based on the water level change information within the target time period, determine the current water absorption coefficient of the clothing.

[0010] In some embodiments of this application, after determining the water absorption coefficient of the clothing based on the change in the current water level, the method further includes: If the current water absorption coefficient of the clothing is greater than the preset water absorption coefficient threshold, the washing chamber of the target clothing processing device is controlled to rotate so that the clothing can absorb water.

[0011] In some embodiments of this application, the method further includes: If the change in any of the following dimensions—the change in current water pressure, the change in current water level, or the change in pipe blockage intensity—is greater than a corresponding preset threshold, then the dimension corresponding to the change exceeding the threshold is reconfirmed.

[0012] In some embodiments of this application, determining the target opening time of the water inlet valve in the target garment processing device based on the target adjustment coefficient includes: Based on the target adjustment coefficient, determine the initial target opening time of the water inlet valve in the target clothing processing equipment; Obtain the water inlet intermittent cycle; The initial target opening time is compensated based on the water inlet intermittent cycle to obtain the target opening time.

[0013] In some embodiments of this application, after controlling the inlet valve according to the target opening degree and the target opening time, the method further includes: Obtain the current water level, the unit change in the current water level, and the pipe blockage status; The water inlet status is determined based on the current water level, the unit change in the current water level, and the pipe blockage status.

[0014] In some embodiments of this application, determining the water inlet status based on the current water level, the unit change in the current water level, and the pipe blockage status includes: If the current water level reaches the target water level, then the water intake is considered complete. If the current water level has not reached the target water level, the unit change is normal, the pipe blockage is clear, and the difference between the actual water inlet time and the target opening time is less than the first target difference threshold, then the water inlet status is determined to be normal. If the current water level has not reached the target water level, the unit change is normal, the pipe blockage is clear, and the difference between the actual water inlet time and the target opening time is greater than or equal to the first target difference threshold and less than the second target difference threshold, then the water inlet state is determined to be a low water pressure state. If the current water level has not reached the target water level and the pipe blockage status is the first blockage status, then the water inlet status is determined to be the first blockage abnormal status. If the current water level has not reached the target water level and the pipe blockage status is the second blockage status, then the water inlet status is determined to be the second blockage abnormal status.

[0015] In some embodiments of this application, after controlling the inlet valve according to the target opening degree and the target opening time, the method further includes: If the water inlet state is the low water pressure state, push an alarm notification to the target terminal; If the water inlet status is the first blockage abnormality status, control the buzzer of the target clothing processing equipment to issue a periodic alarm; If the water inlet status is the second blockage abnormality status, then the water inlet valve is controlled to close.

[0016] In some embodiments of this application, after determining the water inlet status based on the current water level, the unit change in the current water level, and the pipe blockage status, the method further includes: Record abnormal water inlet status, time of failure, and abnormal water flow data; Upload the data corresponding to the abnormal water ingress state, the time of the fault occurrence, the abnormal water flow data, and the user's operation feedback data to the target server for subsequent iterative optimization.

[0017] In some embodiments of this application, the communication method between the clothing processing device and the target server includes: Communicate with the target server through a first network mode; If communication with the target server cannot be achieved through the first network mode, then communication with the target server shall be achieved through the second network mode. If communication with the target server cannot be established via the second network mode, the data to be uploaded will be stored locally. If the target clothing processing device subsequently resumes communication with the target server, the upload process will be restarted.

[0018] In some embodiments of this application, before acquiring the water flow data of the target clothing processing device, the method further includes: Collect initial water flow data of the target clothing processing equipment; The initial water flow data is subjected to average filtering to mark abnormal initial water flow data and to obtain the filtered water flow data of the target clothing processing device. The initial flow data of the marked anomalies, as well as the filtered flow data, are stored.

[0019] Secondly, this application also provides a garment processing equipment control device, the device comprising: The acquisition module is used to acquire the water flow data of the target clothing processing equipment if the target clothing processing equipment is in operation. The determination module is used to determine the target adjustment coefficient of the opening time of the water inlet valve in the target clothing processing equipment and the target opening degree of the water inlet valve if the water flow data of the target clothing processing equipment is determined to be abnormal. The determining module is also used to determine the target opening time of the water inlet valve in the target clothing processing equipment based on the target adjustment coefficient; The control module is used to control the water inlet valve according to the target opening degree and the target opening time.

[0020] Thirdly, this application also provides a washing machine, which includes a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps in the clothing handling device control method described in any one of the claims.

[0021] Fourthly, this application also provides a computer-readable storage medium storing a computer program that is executed by a processor to implement the steps in the garment handling equipment control method described in any one of the claims.

[0022] The garment processing equipment control method provided in this application can acquire water flow data during equipment operation. If the water flow data is abnormal, the target opening degree of the inlet valve and the target adjustment coefficient of the inlet valve opening time can be determined based on the abnormal water flow data. Then, the opening time of the inlet valve can be adjusted according to the target adjustment coefficient to obtain the target opening time. Finally, based on the target opening degree and opening time, the inlet valve can be controlled to mitigate the impact of abnormal water intake. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a schematic diagram of a scenario for the clothing processing equipment control system provided in the embodiments of this application; Figure 2 This is a schematic flowchart of one embodiment of the clothing processing equipment control method in this application. Figure 3 This is a schematic flowchart of one embodiment of the clothing processing equipment control method in this application. Figure 4 This is a schematic diagram of a functional module of the clothing processing equipment control device in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of the washing machine in an embodiment of this application. Detailed Implementation

[0025] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and 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.

[0026] In the description of this application, it should be understood that 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. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0027] In this application, the term "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. Furthermore, it is understood that in the specific embodiments of this application, user information, user data, and other related data are involved. When the above embodiments of this application are applied to specific products or technologies, user permission or consent is required, and the collection, use, and processing of related data must comply with the relevant laws, regulations, and standards of the relevant countries and regions.

[0028] To enable any person skilled in the art to implement and use this application, the following description is provided. In this description, details are set forth for purposes of explanation. It should be understood that those skilled in the art will recognize that this application can be implemented without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of this application with unnecessary detail. Therefore, this application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0029] This application provides a control method, apparatus, device, and storage medium for clothing processing equipment, which are described in detail below.

[0030] Please see Figure 1 , Figure 1 This is a schematic diagram of a clothing handling equipment control system provided in an embodiment of this application. The clothing handling equipment control system may include a washing machine 100. For example... Figure 1 The washing machine 100 in the application can be used to obtain the relevant control logic stored in the washing machine 100 in order to execute the clothing processing equipment control method in this application.

[0031] In this embodiment of the application, the washing machine 100 may include, but is not limited to, a drum washing machine, a pulsator washing machine, etc.

[0032] It should be noted that, Figure 1 The schematic diagram of the clothing processing equipment control system shown is merely an example. The clothing processing equipment control system and scenario described in this application embodiment are for the purpose of more clearly illustrating the technical solutions of this application embodiment and do not constitute a limitation on the technical solutions provided in this application embodiment. As those skilled in the art will know, with the evolution of clothing processing equipment control systems and the emergence of new business scenarios, the technical solutions provided in this application embodiment are also applicable to similar technical problems.

[0033] like Figure 2 As shown, Figure 2 This is a schematic flowchart of one embodiment of the clothing processing equipment control method in this application. The clothing processing equipment control method can be applied to the target clothing processing equipment and specifically includes the following steps 201 to 204: 201. If the target clothing processing equipment is in operation, obtain the water flow data of the target clothing processing equipment.

[0034] In this embodiment, the target clothing processing device can be considered to be in operation when the user starts the device, or when it runs automatically according to a user-defined program, or in any other working state. Specific embodiments of this application do not limit this. When the target clothing processing device is in operation, the various sensors used for water flow data detection can acquire corresponding water flow data, such as water pressure, water level, and flow rate. Specific embodiments of this application do not limit this as well. The specific sensors for water pressure, water level, and flow rate can be adaptively installed according to different models of washing equipment; similarly, this application does not limit this.

[0035] 202. If the water flow data of the target clothing processing equipment is found to be abnormal, determine the target adjustment coefficient of the opening time of the water inlet valve in the target clothing processing equipment and the target opening degree of the water inlet valve.

[0036] In this embodiment of the application, after obtaining the corresponding water flow data according to the above steps, the water flow data can be analyzed to determine whether the water flow data is abnormal. For example, whether the water pressure deviates too much from the normally set water pressure, whether the flow rate is too slow, or whether the water level has not reached the standard for a long time. These situations can all be regarded as abnormal water data. Of course, abnormalities such as no water intake can also be included. Specific embodiments of this application do not list or limit them.

[0037] After confirming abnormal water flow data, it is necessary to adjust the inlet valve to overcome the impact of the abnormal water flow. When the water flow rate is too slow or the water pressure is too low, the water pressure can be appropriately increased by reducing the area of ​​the pipe inlet or outlet. For example, when watering through a pipe, pinching the pipe opening appropriately will create a jet of water flowing out of the pipe. Therefore, if the water pressure is low, appropriately reducing the opening of the inlet valve can increase the inlet pressure and thus shorten the water intake time. Conversely, if the pressure is too high, the opening of the inlet valve can be appropriately increased to avoid damage to the pipes and valves due to excessive pressure. At the same time, since the water pressure changes, the flow rate also changes, and the water intake time also changes accordingly. Therefore, it is also necessary to adjust the valve opening time to adjust the water intake time and prevent problems such as exceeding the limit or insufficient water intake. Therefore, in this embodiment, after abnormal water flow data, it is necessary to determine the target opening degree of the inlet valve and the target water intake time.

[0038] Based on this, in this embodiment, determining the target opening degree of the inlet valve can include determining whether the inlet is in a low-pressure or high-pressure state by using the water pressure or flow velocity in the acquired water flow data. If it is in a low-pressure state, the opening degree of the inlet valve can be appropriately reduced; conversely, if it is in a high-pressure state, the opening degree of the inlet valve can be appropriately increased. Specifically, the target opening degree can be determined based on the actual water pressure or flow rate. For example, 0.03 MPa can correspond to one target opening degree, 0.05 MPa can correspond to another, and so on. Then, adjusting the current opening degree to the target opening degree can achieve the adjustment of the inlet pressure, thereby affecting the inlet flow rate. In actual practice, the larger the inlet flow rate, the larger the inlet volume per unit time. Therefore, after adjusting the opening degree of the inlet valve, the actual unit inlet flow rate can be obtained through a flow sensor. Then, the actual unit inlet flow rate can be divided by the normal inlet flow rate to obtain the target adjustment coefficient used for adjusting the opening time. For example, if the actual inflow rate is 0.7 times the normal inflow rate, the target adjustment coefficient of 1.3 can be obtained by subtracting 0.7 + 1. If the actual inflow rate is 1.2 times the normal inflow rate, the target adjustment coefficient of 0.8 can be obtained by subtracting 1 - (1.2 - 1).

[0039] 203. Determine the target opening time of the water inlet valve in the target clothing processing equipment based on the target adjustment coefficient.

[0040] After obtaining the target adjustment coefficient through the above steps, multiply the target adjustment coefficient by the default opening time set when the target garment processing equipment starts running to obtain the target opening time of the water inlet valve. For example, multiplying the current opening time by 1.3 or 0.8 will result in a longer or shorter valve opening time, thus avoiding problems of insufficient or excessive water intake.

[0041] 204. Control the inlet valve according to the target opening degree and target opening time.

[0042] Following the steps outlined above, after obtaining the target opening degree and target opening time of the inlet valve, the valve is controlled according to these two parameters. Once the target opening time has elapsed, the inlet valve is closed. Therefore, adjusting the opening degree and inlet time of the inlet valve can reduce the negative impacts of abnormal water intake. For example, if the water pressure is low and the flow rate is slow, a longer inlet time will increase washing time, affecting detergent dissolution and reducing cleaning efficiency. In this scenario, reducing the valve opening degree and extending the valve opening time can shorten the inlet time and prevent reduced cleaning efficiency. Alternatively, if the water pressure is high and the flow rate is fast, it may damage pipes and valves. Appropriately increasing the valve opening degree and reducing the water pressure and flow rate can alleviate the problem of excessive water pressure.

[0043] In summary, the garment processing equipment control method provided in this application can acquire water flow data during equipment operation. If the water flow data is abnormal, the target opening degree of the inlet valve and the target adjustment coefficient for the inlet valve opening time can be determined based on the abnormal water flow data. Subsequently, the opening time of the inlet valve can be adjusted according to the target adjustment coefficient to obtain the target opening time. Then, based on the target opening degree and opening time, the inlet valve can be controlled, thereby mitigating the impact of abnormal water intake.

[0044] To better implement the embodiments of this application, in one embodiment of this application, determining the target opening degree of the water inlet valve includes: Based on the water flow data, determine the type of water inlet anomaly; based on the type of water inlet anomaly, determine the target opening degree of the water inlet valve in the target clothing processing equipment.

[0045] The above embodiments provide a scheme for determining the target opening degree through specific water flow data. This application also provides another implementation method. Specifically, water flow data can be analyzed to determine the specific type of water inflow anomaly, and the corresponding target opening degree can be determined based on the specific type of water inflow anomaly. For example, water inflow anomaly types may include excessively high water pressure, excessively low water pressure, severe pipe blockage, and minor pipe blockage. Different target opening degrees can be set according to different types of water inflow anomalies. For example, the target opening degree for excessively high water pressure can be 150% of the normal opening angle or the maximum opening angle; the target opening degree for excessively low water pressure can be 70% or 65% of the normal opening angle; the target opening degree for minor pipe blockage can be 35% or 30% of the normal opening angle; and the target opening degree for severe pipe blockage can be 20% or 15% of the normal opening angle. This application does not limit the specific opening angle. It should be noted that, since there are water inflow anomalies involving pipe blockage, increasing the water pressure can also increase the probability of foreign objects being flushed away, thereby solving the pipe blockage problem. Furthermore, in this embodiment, water flow data can be input into a trained inflow anomaly identification model to determine the current inflow anomaly type. This inflow anomaly identification model can be of any model architecture, and this embodiment does not limit it. The training method for this model can also be arbitrary; by inputting sample water flow data corresponding to different inflow anomaly types into the model and training it in an appropriate manner, the model can acquire the ability to identify inflow anomaly types.

[0046] The above embodiments provide a scheme for identifying water inlet anomaly types through a model, in order to reduce the computational cost of the washing equipment. Specifically, to better implement the embodiments of this application, in one embodiment, the water inlet anomaly type is determined based on water flow data, including: Perform water pressure analysis on the water flow data to determine the inlet water pressure and water flow velocity; if the inlet water pressure is less than the preset water pressure threshold, the inlet water anomaly type is determined to be low water pressure anomaly type; if the water flow velocity is less than the preset first flow velocity threshold, the inlet water anomaly type is determined to be severe pipe blockage type; if the water flow velocity is greater than or equal to the first flow velocity threshold and less than the preset second flow velocity threshold, the inlet water anomaly type is determined to be minor pipe blockage type.

[0047] In this embodiment of the application, the water pressure threshold, the first flow velocity threshold, and the second flow velocity threshold can be set according to the actual situation, and this embodiment of the application does not limit them.

[0048] The above embodiments provide an implementation method for adjusting the opening time of the inlet valve through a target adjustment coefficient. To better implement the embodiments of this application, in one embodiment, the target adjustment coefficient includes a user habit adjustment coefficient and a current operating condition adjustment coefficient. If it is determined that the water flow data of the target clothing processing equipment is abnormal, the target adjustment coefficient for the opening time of the inlet valve in the target clothing processing equipment is determined, including: If the water flow data of the target clothing processing equipment is determined to be abnormal, obtain the user habit adjustment coefficient stored based on historical user habits; determine the current operating condition adjustment coefficient based on the water flow data.

[0049] As can be seen from the above embodiments, the target adjustment coefficient provided in the above embodiments can be determined by changes in flow rate. To improve the accuracy of the opening time adjustment, in this embodiment, the target adjustment coefficient can be considered as a coefficient group, which may include a user habit adjustment coefficient and a current operating condition adjustment coefficient. The user habit adjustment coefficient is obtained based on the user's long-term usage habits. The washing machine can upload the determined user habit adjustment coefficient to a server or store it locally for later retrieval. For example, if a user frequently washes clothes between 11:00 and 12:00 and between 18:00 and 20:00, the user prefers washing during peak water usage periods, which may result in lower water pressure in the washing machine, leading to a longer opening and closing time for the inlet valve. Based on the user's historical usage, the washing machine can adjust the inlet time according to long-term peak water usage, thereby obtaining the user habit adjustment coefficient corresponding to peak water usage. Alternatively, the user habit adjustment coefficient can be determined based on other user washing habits. For example, if a user prefers washing a large amount of clothing at once, the weight of clothing in each historical washing task may exceed a certain weight threshold. Heavier clothing requires more water, resulting in a longer opening and closing time for the inlet valve. When the weight of clothes exceeds a certain weight threshold during each wash cycle, the washing machine will determine the water consumption based on this threshold. Over time, the washing machine can determine the actual operating time of the water inlet valve, thereby establishing a user habit adjustment coefficient suitable for that weight. This coefficient is then uploaded to the server or stored locally. When the user habit adjustment coefficient is needed, it can be downloaded from the server or retrieved from the locally stored data.

[0050] Furthermore, the current operating condition adjustment coefficient can be considered as the adjustment coefficient obtained in the above embodiments based on the current operating conditions, such as changes in the inlet water flow. Therefore, based on the current operating condition adjustment coefficient and the user habit adjustment coefficient, the opening time of the inlet valve can be determined more precisely.

[0051] To better implement the embodiments of this application, in one embodiment, the current operating condition adjustment coefficient includes a water pressure correction coefficient, a clothing water absorption coefficient, a pipeline resistance correction coefficient, and a water level correction coefficient; the current operating condition adjustment coefficient is determined based on water flow data, including: Based on the water flow data, determine the current water pressure, current water level, and current flow velocity; based on the current water pressure, determine the water pressure correction coefficient; based on the change in the current water level, determine the water absorption coefficient of the clothing; based on the current water level value, determine the water level correction coefficient; based on the current flow velocity and current water pressure, determine the pipe blockage level; based on the pipe blockage level, determine the pipe resistance correction coefficient.

[0052] In the above embodiments, the current operating condition adjustment coefficient can be a coefficient related to the water inlet flow. However, to further improve the accuracy of the water inlet valve's timing, this application also provides an implementation method. Specifically, since the water flow data is collected in real time, after adjusting the water inlet valve to the target opening degree, it can be determined whether the current water pressure meets the requirements. If it meets the requirements, the water pressure correction coefficient can be 1. At this time, the water pressure will not cause a change in the opening time. If the current water pressure is less than the set water pressure requirement, it means that the water inlet efficiency is not as expected. At this time, the opening time can be extended, and the water pressure correction coefficient can be greater than 1. Conversely, if the current water pressure is greater than the set water pressure requirement, it means that the water inlet efficiency exceeds expectations, and the coefficient corresponding to the water pressure needs to be reduced. At this time, the water pressure correction coefficient can be less than 1.

[0053] Furthermore, since clothes need to absorb a certain amount of water after the washing machine's water intake is controlled, neglecting the water absorption issue may result in insufficient water usage. Therefore, to avoid this problem, the opening time needs to be extended to prevent insufficient water flow. Thus, regarding the water absorption issue, a water level sensor can be used to determine the clothes' water absorption coefficient. For example, after controlling the water inlet valve, the water level sensor can be used to determine the time during which the water level remains unchanged. Once the water level starts to rise, the time of no change is considered over. During this time, water is absorbed by the clothes. Since the water intake conditions (water pressure, blockages, etc.) do not change in a short period, the time of no change in water level can be determined as the clothes' water absorption time. By dividing this time by the initial opening time of the water inlet valve, the clothes' water absorption coefficient can be determined.

[0054] The water level correction factor is determined based on water level changes. After the inlet valve starts supplying water, real-time water level monitoring determines the unit rise in water level per unit time, thus determining whether the water level can reach the set level within the current opening time. If the unit rise in water level is lower than expected, it indicates that the current opening time is insufficient and needs to be extended. Conversely, if the unit rise in water level would exceed the set level according to the current opening time, the opening time of the inlet valve can be reduced. In this case, based on the unit rise in water level, the insufficient opening time and the excessive opening time can be determined according to the unit inlet flow rate. Dividing the insufficient or excessive opening time by the current opening time yields the corresponding water level correction factor.

[0055] In this embodiment, the degree of pipe blockage can be determined by water pressure and flow rate. For example, high water pressure and slow flow rate indicate severe blockage; low water pressure and slow flow rate indicate minor blockage; low or high water pressure with normal or fast flow rate indicates no blockage. Simultaneously, different degrees of blockage correspond to pre-set pipe resistance correction coefficients. For instance, severe blockage corresponds to a correction coefficient of 1.1; minor blockage corresponds to a correction coefficient of 1.05; and normal or fast flow rate corresponds to a correction coefficient of 1, thus maintaining a constant opening time. The purpose of this pipe resistance correction coefficient is to prevent errors caused by pipe blockage.

[0056] To better implement the embodiments of this application, in one embodiment, determining the water absorption coefficient of clothing based on the change in the current water level includes: Obtain information on the water level change within a target time period after water enters through the inlet valve; determine the current water absorption coefficient of the clothing based on the water level change information within the target time period.

[0057] The above embodiments provide a method for determining the water absorption coefficient of clothing based on the time during which the water level remains unchanged. This application also provides a method for determining the water absorption coefficient of clothing. Specifically, in this application, the target time period can be 30 seconds, 1 minute, etc., and can be set according to actual conditions; this application does not limit it. In actual practice, the water absorption efficiency of clothing may not be 100%. Therefore, in the initial stage of water intake, the water level rise rate is low, meaning the unit water level change is low. As the clothing becomes saturated with water, the water level rise rate begins to increase; that is, in the later stages of water intake, the unit water level change begins to rise and tends to stabilize. Therefore, based on the change in water level, the specific amount of water absorbed by the clothing is determined, thereby determining the current water absorption coefficient of the clothing. For example, by dividing the calculated amount of water absorbed by the unit flow rate, the water intake time consumed by the amount of water absorbed by the clothing can be determined. Then, by dividing the water intake time consumed by the amount of water absorbed by the clothing by the current opening time, the corresponding water absorption coefficient of the clothing can be obtained.

[0058] To better implement the embodiments of this application, in one embodiment, after determining the water absorption coefficient of the clothing based on the change in the current water level, the method further includes: If the current water absorption coefficient of the clothes is greater than the preset water absorption coefficient threshold, the washing chamber of the target clothes processing equipment will be rotated to facilitate water absorption by the clothes.

[0059] During the actual water intake stage, some garments may have high water absorption efficiency. Therefore, in order to facilitate rapid water absorption, in this embodiment, if the current water absorption coefficient of the garments is greater than a preset water absorption coefficient threshold, the washing chamber can be controlled to rotate slowly. The water absorption coefficient threshold can be set according to actual conditions, and the rotation speed of the washing chamber can also be set according to actual conditions; this embodiment does not limit these settings.

[0060] To better implement the embodiments of this application, in one embodiment of this application, the method further includes: If the change in any of the following dimensions—current water pressure, current water level, or pipe blockage intensity—is greater than the corresponding preset threshold, then the dimension corresponding to the change exceeding the threshold will be reconfirmed.

[0061] In this embodiment of the application, to prevent anomalies in data changes across a specific dimension, a verification mechanism is also provided. Specifically, if the magnitude of the change exceeds a preset threshold (e.g., the change in water pressure exceeds the corresponding threshold, or the change in water level exceeds the threshold, or the change in pipe blockage intensity abruptly changes from "unobstructed" to "slightly blocked" (the dynamic change exceeds one level), a secondary verification process is initiated, and the relevant data is recalculated. If the secondary calculation result is consistent with the initial calculation result, it is confirmed that the operating condition has indeed changed, and the relevant parameters are updated. Otherwise, if the secondary calculation result is still abnormal, "parameter fluctuation anomaly" is determined, triggering subsequent early warning logic, and the relevant data of the abnormal fluctuation is recorded for subsequent fault diagnosis.

[0062] To better implement the embodiments of this application, in one embodiment, the target opening time of the water inlet valve in the target clothing processing equipment is determined according to the target adjustment coefficient, including: Based on the target adjustment coefficient, determine the initial target opening time of the water inlet valve in the target clothing processing equipment; obtain the water inlet intermittent cycle; compensate the initial target opening time based on the water inlet intermittent cycle to obtain the target opening time.

[0063] In the above embodiments, when controlling the inlet valve to perform water intake operation according to the target opening degree and target opening time, the opening time is a continuous opening time. This application also provides an intermittent water intake scheme. That is, multiple unit time intervals for stopping water intake are inserted within the continuous target opening time. According to experiments, at the moment water intake begins, the water pressure increases instantaneously and then decreases to a stable pressure. Therefore, by inserting multiple unit time intervals for stopping water intake, the water pressure can be intermittently increased, thereby increasing the probability of flushing out blockages when the pipeline is blocked. Assuming that, according to the target adjustment coefficient involved in any of the above embodiments, after adjusting the water intake time, the adjusted water intake time can be considered as the initial target opening time. Then, the corresponding water intake intermittent period is determined according to different water intake anomaly types. The water intake intermittent period corresponding to different water intake anomaly types can be set in advance; for example, in a low water pressure state, the water intake intermittent period is 6 seconds, and in a slightly blocked pipeline type, it can be 8 seconds, etc. Then, based on the initial target opening time and the water inlet interval period, the total number of intervals required can be determined. For example, assuming the initial target opening time is 120 seconds and the water inlet interval period is 6 seconds, then 20 intervals are needed. In this case, based on the initial target opening time of 120 seconds, a compensation of 6 times 20 seconds is applied, resulting in a target opening time of 240 seconds. Similarly, the calculation method for other types is the same, and will not be elaborated here.

[0064] To better implement the embodiments of this application, in one embodiment, after controlling the inlet valve according to the target opening degree and the target opening time, the method further includes: Obtain the current water level, the unit change in the current water level, and the pipe blockage status; determine the water inflow status based on the current water level, the unit change in the current water level, and the pipe blockage status.

[0065] The above embodiments provide a scheme for controlling the water inlet valve based on the target opening degree and target opening time. To ensure that any abnormalities in the water inlet process can be detected promptly, this embodiment also requires monitoring the specific water inlet status after controlling the water inlet valve.

[0066] Specifically, after controlling the inlet valve based on the target opening degree and target opening time, relevant data can be collected, such as the current water level, the unit change in the current water level, and the pipe blockage status. During some cleaning processes, the degree of pipe blockage may worsen, meaning the pipe may change from a slightly blocked state to a severely blocked state. For example: if the unit change in the current water level is within expectations, the change in pipe blockage status can be disregarded. If the unit change in the current water level is not within expectations, such as a slow water level change, it is necessary to determine whether the pipe blockage status has changed. If it has not changed, the inlet abnormality is identified as the first inlet abnormality, which can be alleviated by adjusting the inlet valve's inlet strategy. If the pipe blockage status changes, such as the blockage worsening, the inlet abnormality is identified as the second inlet abnormality, requiring external intervention, such as notifying the user of the inlet abnormality and requiring testing.

[0067] To better implement the embodiments of this application, in one embodiment, the water inlet status is determined based on the current water level, the unit change in the current water level, and the pipe blockage status, including: If the current water level reaches the target water level, the water intake is considered complete. If the current water level does not reach the target water level, the unit change is normal, the pipe blockage is clear, and the difference between the actual water intake time and the target opening time is less than the first target difference threshold, the water intake status is considered normal. If the current water level does not reach the target water level, the unit change is normal, the pipe blockage is clear, and the difference between the actual water intake time and the target opening time is greater than or equal to the first target difference threshold and less than the second target difference threshold, the water intake status is considered low water pressure. If the current water level does not reach the target water level and the pipe blockage is in the first blockage state, the water intake status is considered the first blockage abnormal state. If the current water level does not reach the target water level and the pipe blockage is in the second blockage state, the water intake status is considered the second blockage abnormal state.

[0068] The above embodiments provide a scheme for determining the water inlet status based on the current water level, the change in the current water level, and the pipe blockage status. This application also provides an implementation method, as shown above. The target water level is an adaptive water volume automatically determined by the washing machine based on the current weight and volume of the clothes; the first target difference threshold and the second target difference threshold can be set according to actual conditions. Furthermore, the first blockage abnormality status can be a slightly blocked pipe, and the second blockage abnormality status can be a severely blocked pipe.

[0069] To better implement the embodiments of this application, in one embodiment, after controlling the inlet valve according to the target opening degree and the target opening time, the method further includes: If the water inlet status is low water pressure, an alarm message is pushed to the target terminal; if the water inlet status is the first blockage abnormality, the buzzer of the target clothing processing equipment is controlled to make a periodic alarm; if the water inlet status is the second blockage abnormality, the water inlet valve is controlled to close.

[0070] In this embodiment, alarm notifications are pushed to the target terminal via the washing machine's network module. These notifications can be sent to the user's mobile phone, such as indicating low water pressure, to prevent the user from misunderstanding that the equipment has malfunctioned. Furthermore, the buzzer can be installed anywhere on the washing machine; this embodiment does not limit its placement. If the water inlet is in a severely blocked (secondary blockage) abnormal state, the inlet valve needs to be closed to prevent water overflow and stop the current washing cycle.

[0071] To better implement the embodiments of this application, in one embodiment, after determining the water inlet status based on the current water level, the unit change in the current water level, and the pipe blockage status, the method further includes: Record abnormal water inlet status, fault occurrence time, and abnormal water flow data; upload the data corresponding to the abnormal water inlet status, fault occurrence time, abnormal water flow data, and user operation feedback data to the target server for subsequent iterative optimization.

[0072] In this embodiment of the application, to facilitate subsequent optimization of water inlet control or maintenance of abnormal conditions, an implementation method is also provided. This involves uploading relevant parameters of the abnormal data to a server so that relevant personnel can analyze or optimize it.

[0073] Specifically, abnormal water inlet status, fault occurrence time, and abnormal water flow data can be cached. For example, relevant data within five collection cycles can be cached. Then, the washing machine can perform preliminary analysis on the cached abnormal log data locally, generate local fault diagnosis results, and then send the fault diagnosis results and related data to the server. This sending to the server can be done through the washing machine's network module.

[0074] To better implement the embodiments of this application, in one embodiment, the communication method between the target clothing processing device and the target server includes: The device communicates with the target server via the first network mode; if communication with the target server via the first network mode fails, it communicates with the target server via the second network mode; if communication with the target server via the second network mode fails, the data to be uploaded is stored locally; if the target garment processing device subsequently resumes communication with the target server, the upload process is restarted.

[0075] The embodiments described above in this application can better accomplish the transmission task. Specifically, the first network mode can be a conventional network communication method, i.e., transmission via Wi-Fi. However, in some cases, due to network fluctuations or other abnormalities, the upload efficiency may be abnormal. Therefore, this application also provides a method of communication and upload via a second network mode, such as switching to NB-IoT low-power upload mode. This mode is suitable for scenarios with weak network signals and can ensure the stable transmission of core data. If this method still fails to upload, the data and logs to be uploaded can be stored locally and uploaded again after the network is restored.

[0076] To better implement the embodiments of this application, in one embodiment of this application, before acquiring the water flow data of the target clothing processing device, the method further includes: Collect initial water flow data of the target garment processing equipment; perform average filtering on the initial water flow data, mark abnormal initial water flow data, and obtain the filtered water flow data of the target garment processing equipment; store the marked abnormal initial water flow data and the filtered water flow data.

[0077] In this embodiment, the provided implementation requires the collection of relevant water flow data. The water flow data filtering scheme provided above can reduce abnormal data, thereby improving the accuracy of subsequent calculations. Specifically, after the washing machine is powered on and started, the main control unit performs a self-check on the multi-dimensional sensing module (verifying signal strength and response time). If an abnormality is detected, a local buzzer sounds continuously, a fault indicator is displayed on the screen, and the APP provides troubleshooting suggestions. If normal, the system enters the baseline parameter calibration (recording the initial capacitance value of the empty tub water level, standard water pressure value, etc.). Then, after starting the water inlet program, the system can synchronously collect data such as water pressure simulation signal, pipeline water flow status, water level frequency / capacitance change, and clothing weight (all with timestamps) through a 20ms acquisition cycle. Instantaneous interference is filtered out using the moving average filtering method, and abnormal values ​​exceeding the measurement range are eliminated. Finally, the valid data and derived parameters are cached in a circular buffer.

[0078] In summary, another overall process scheme of this application embodiment can be referred to in detail. Figure 3 Its content may include: 1) System Startup and Initialization: After the washing machine is powered on, the main control unit performs a self-test on the multi-dimensional sensor modules (verifying signal strength and response time). If an anomaly is detected, a local buzzer will sound continuously, a fault indicator will be displayed on the screen, and troubleshooting suggestions will be provided via the APP. If the anomaly is detected, the system will proceed to the baseline parameter calibration (recording the initial capacitance value of the water level in the empty tub, the standard water pressure value, etc.). Subsequently, the system will synchronize data such as the user's water usage time period and load statistics for 30 days via WiFi / NB-IoT dual-mode (if WiFi fails three times in a row, local caching will be enabled). Finally, the system will configure the water inlet time baseline value and the default value of the correction coefficient, and create a circular buffer to cache data for 100 collection cycles.

[0079] 2) Data Acquisition and Preprocessing: After the user starts the water intake program, the system synchronously collects four types of data (all with timestamps) at a period of 20ms: water pressure simulation signal, pipeline water flow status, water level frequency / capacitance change, and clothing weight / water absorption coefficient. Instantaneous interference is filtered out by the moving average filtering method, and outliers exceeding the measurement range are removed. Then, the water level height is calculated based on the "capacitance-water level" mapping table, and the water level change rate is obtained by combining the acquisition period. Finally, the effective data and derived parameters are cached in the circular buffer.

[0080] 3) Dynamic parameter calculation: Call cached data to determine whether the pipeline is slightly blocked, severely blocked, or in an abnormal state based on the correlation between water flow speed and water pressure; extract user habit correction coefficients (such as peak evening water usage and values ​​suitable for heavy clothing) from the cloud / local data, and match four types of coefficients such as water pressure, load-water absorption, etc.; calculate dynamic thresholds by multiplying the baseline value by the correction coefficients and limit the range; if the pipeline resistance or threshold change exceeds 50%, a secondary verification is initiated to confirm the working condition.

[0081] 4) Water Intake Status Judgment: The water intake status is determined according to the priority of "whether the water level meets the standard → water level change rate → pipeline resistance → water intake time". If the water level meets the standard, the water intake is marked as complete; if the water level does not meet the standard, the water intake time ≤ 60% of the dynamic threshold is normal water intake, 60%-80% is a low water pressure warning, low water level change rate / minor pipeline blockage is a minor blockage warning, and water intake time exceeding the threshold / severe blockage is an abnormal alarm.

[0082] 5) Graded action execution: Normal water intake maintains valve opening and continuously collects data; Low water pressure warning adjusts valve opening (≤100%), simultaneously with short beeping of the buzzer + slow flashing of the indicator light + APP warning prompt; Pipeline micro-blockage warning triggers intermittent buzzing + fast flashing of the indicator light, pushes filter cleaning diagram, and starts the "80 seconds of water intake, 8 seconds of stop" pulse mode; Abnormal alarm suspends water intake, and cross-diagnoses fault types (extreme low water pressure, blockage, sensor failure, etc.) through four-dimensional data cross-diagnosis.

[0083] 6) Feedback verification and control: Execute the corresponding control strategy (extreme low water pressure: maximum valve opening + 120 seconds, stop for 6 seconds; high water absorption: low speed stirring for 30 seconds), continuously monitor for 3 collection cycles, if there is no improvement, strengthen the control (increase valve opening, extend the interval time); if there is still no improvement after 5 cycles, mark "control failure" and alarm, if the working condition meets the standard, trigger the subsequent washing program.

[0084] 7) Data Iteration and Optimization: After water intake is completed or control fails, the original sensor data, dynamic calculation results, fault logs and other information are packaged and uploaded via WiFi / NB-IoT dual-mode (if it fails, it is cached locally and re-uploaded); the cloud optimizes and corrects the coefficients based on water intake efficiency, noise level and other factors through reinforcement learning. After receiving the data, the device verifies its rationality (if it is abnormal, it retains the old coefficients). After the update is completed, it returns to the initial state and waits for the next water intake program to start.

[0085] To better implement the garment processing equipment control method in the embodiments of this application, this application also provides a garment processing equipment control device, which is applied to the target garment processing equipment, such as... Figure 4 As shown, the device 300 includes: The acquisition module 301 is used to acquire the water flow data of the target clothing processing equipment if the target clothing processing equipment is in operation. The determination module 302 is used to determine the target adjustment coefficient of the opening time of the water inlet valve and the target opening degree of the water inlet valve if the water flow data of the target clothing processing equipment is determined to be abnormal. The determining module 302 is also used to determine the target opening time of the water inlet valve in the target clothing processing equipment based on the target adjustment coefficient; The control module 303 is used to control the water inlet valve according to the target opening degree and the target opening time.

[0086] The garment processing equipment control device provided in this application can acquire water flow data through the acquisition module 301 during equipment operation. If the water flow data is abnormal, the determination module 302 can determine the target opening degree of the inlet valve and the target adjustment coefficient of the inlet valve opening time based on the abnormal water flow data. Then, the opening time of the inlet valve can be adjusted according to the target adjustment coefficient to obtain the target opening time. The control module 303 then controls the inlet valve according to the target opening degree and opening time, thereby mitigating the impact of abnormal water intake.

[0087] In some embodiments of this application, the determining module 302 is specifically used for: Based on the water flow data, determine the type of water inflow anomaly; Based on the type of water inlet abnormality, determine the target opening degree of the water inlet valve in the target clothing processing equipment.

[0088] In some embodiments of this application, the determining module 302 is further configured to: Perform water pressure analysis on the water flow data to determine the inlet water pressure and water flow velocity; If the inlet water pressure is less than the preset water pressure threshold, the inlet water abnormality type is determined to be a low water pressure abnormality type. If the water flow velocity is less than the preset first velocity threshold, the water inlet abnormality type is determined to be a severe pipe blockage type. If the water flow velocity is greater than or equal to the first velocity threshold and less than the preset second velocity threshold, the water inlet abnormality type is determined to be a minor pipe blockage.

[0089] In some embodiments of this application, the target adjustment coefficient includes a user habit adjustment coefficient and a current operating condition adjustment coefficient, and the determining module 302 is further used for: If the water flow data of the target clothing processing equipment is determined to be abnormal, obtain the user habit adjustment coefficient stored based on historical user habits; Based on the water flow data, determine the adjustment coefficient for the current operating condition.

[0090] In some embodiments of this application, the current operating condition adjustment coefficient includes a water pressure correction coefficient, a clothing water absorption coefficient, a pipeline resistance correction coefficient, and a water level correction coefficient. The determining module 302 is further specifically used for: Based on the water flow data, determine the current water pressure, current water level, and current flow velocity; Determine the water pressure correction factor based on the current water pressure; Determine the water absorption coefficient of the clothing based on the current water level change; Determine the water level correction factor based on the current water level value; Determine the degree of blockage in the pipe based on the current flow rate and water pressure; The pipeline resistance correction factor is determined based on the degree of pipeline blockage.

[0091] In some embodiments of this application, the determining module 302 is further configured to: Obtain information on water level changes within a target time period after water enters through the inlet valve; Based on the water level change information within the target time period, determine the current water absorption coefficient of the clothing.

[0092] In some embodiments of this application, the control module 303 is specifically used for: If the current water absorption coefficient of the clothes is greater than the preset water absorption coefficient threshold, the washing chamber of the target clothes processing equipment will be rotated to facilitate water absorption by the clothes.

[0093] In some embodiments of this application, the determining module 302 is further configured to: If the change in any of the following dimensions—current water pressure, current water level, or pipe blockage intensity—is greater than the corresponding preset threshold, then the dimension corresponding to the change exceeding the threshold will be reconfirmed.

[0094] In some embodiments of this application, the determining module 302 is further configured to: Based on the target adjustment coefficient, determine the initial target opening time of the water inlet valve in the target clothing processing equipment; Obtain the water inlet intermittent cycle; The target opening time is obtained by compensating for the initial target opening time based on the water inlet intermittent cycle.

[0095] In some embodiments of this application, the determining module 302 is further configured to: Get the current water level, the unit change of the current water level, and the status of pipe blockage; The water inflow status is determined based on the current water level, the unit change in the current water level, and the status of pipe blockage.

[0096] In some embodiments of this application, the determining module 302 is further configured to: If the current water level reaches the target water level, the water intake is considered complete. If the current water level has not reached the target water level, the unit change is normal, the pipe blockage status is unobstructed, and the difference between the actual water inlet time and the target opening time is less than the first target difference threshold, then the water inlet status is determined to be normal. If the current water level has not reached the target water level, the unit change is normal, the pipe blockage status is unobstructed, and the difference between the actual water inlet time and the target opening time is greater than or equal to the first target difference threshold and less than the second target difference threshold, then the water inlet status is determined to be a low water pressure status. If the current water level has not reached the target water level and the pipe is blocked in the first blockage state, then the water intake state is determined to be the first blockage abnormal state. If the current water level has not reached the target water level and the pipe is blocked in the second blockage state, then the water intake state is determined to be the second blockage abnormal state.

[0097] In some embodiments of this application, the control module 303 is further configured to: If the water inlet status is low water pressure, an alarm message will be pushed to the target terminal. If the water inlet status is in the first blockage abnormality state, the buzzer of the target clothing processing equipment will be activated periodically. If the water inlet status is the second blockage abnormality state, then control the water inlet valve to close.

[0098] In some embodiments of this application, the control module 303 is further configured to: Record abnormal water inlet status, time of failure, and abnormal water flow data; Upload data corresponding to the abnormal water ingress status, the time of the failure, the abnormal water flow data, and user operation feedback data to the target server to facilitate subsequent iteration and optimization.

[0099] In some embodiments of this application, the control module 303 is further configured to: Communicate with the target server through the first network mode; If communication with the target server cannot be achieved through the first network mode, then communication with the target server will be achieved through the second network mode. If communication with the target server is not possible via the second network mode, the data to be uploaded will be stored locally. If the target garment processing device and the target server resume communication later, the upload process will be restarted.

[0100] In some embodiments of this application, the acquisition module 301 is specifically used for: Collect initial water flow data for the target garment processing equipment; The initial water flow data is averaged and filtered to identify abnormal initial water flow data and obtain the filtered water flow data of the target clothing processing equipment. The initial flow data of the marked anomalies, as well as the filtered flow data, are stored.

[0101] This application also provides a washing machine, which includes a processor, a memory, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the steps of the clothing handling device control method according to any one of the embodiments of this application. This washing machine integrates any one of the clothing handling device control methods provided in the embodiments of this application, such as... Figure 5 As shown, it illustrates a structural schematic diagram of the washing machine involved in the embodiments of this application. Specifically: The washing machine may include components such as a processor 401 with one or more processing cores, a memory 402 with one or more computer-readable storage media, a power supply 403, and an input unit 404. Those skilled in the art will understand that... Figure 5 The washing machine structure shown does not constitute a limitation on the washing machine and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein: The processor 401 is the control center of the washing machine. It connects various parts of the washing machine via various interfaces and lines. By running or executing software programs and / or modules stored in the memory 402, and by calling data stored in the memory 402, it performs various functions and processes data, thereby providing overall monitoring of the washing machine. Optionally, the processor 401 may include one or more processing cores. The processor 401 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. Preferably, the processor 401 may integrate an application processor and a modem processor. The application processor mainly handles the operating system, user interface, and applications, while the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 401.

[0102] The memory 402 can be used to store software programs and modules. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the washing machine, etc. In addition, the memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 with access to the memory 402.

[0103] The washing machine also includes a power supply 403 that supplies power to the various components. Preferably, the power supply 403 can be logically connected to the processor 401 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 403 may also include one or more DC or AC power supplies, a recharging system, a power fault detection circuit, a power converter or inverter, a power status indicator, or any other components.

[0104] The washing machine may also include an input unit 404, which can be used to receive input digital or character information, and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0105] Although not shown, the washing machine may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 401 in the washing machine loads the executable files corresponding to the processes of one or more applications into the memory 402 according to the following instructions, and the processor 401 runs the applications stored in the memory 402 to realize various functions, such as: If the target garment processing equipment is in operation, acquire the water flow data of the target garment processing equipment; If the water flow data of the target garment processing equipment is determined to be abnormal, determine the target adjustment coefficient for the opening time of the inlet valve in the target garment processing equipment and the target opening degree of the inlet valve. Based on the target adjustment coefficient, determine the target opening time of the water inlet valve in the target garment processing equipment; The inlet valve is controlled based on the target opening degree and the target opening time.

[0106] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0107] Therefore, embodiments of this application provide a computer-readable storage medium, which may include: read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk, etc. A computer program is stored thereon, and the computer program is loaded by a processor to execute the steps in any of the garment processing equipment control methods provided in embodiments of this application. For example, the computer program loaded by the processor can execute the following steps: If the target garment processing equipment is in operation, acquire the water flow data of the target garment processing equipment; If the water flow data of the target garment processing equipment is determined to be abnormal, determine the target adjustment coefficient for the opening time of the inlet valve in the target garment processing equipment and the target opening degree of the inlet valve. Based on the target adjustment coefficient, determine the target opening time of the water inlet valve in the target garment processing equipment; The inlet valve is controlled based on the target opening degree and the target opening time.

[0108] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the detailed descriptions of other embodiments above, which will not be repeated here.

[0109] In practice, each of the above units or structures can be implemented as an independent entity or can be arbitrarily combined to be implemented as the same or several entities. For the specific implementation of each of the above units or structures, please refer to the previous method embodiments, which will not be repeated here.

[0110] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0111] The above provides a detailed description of a clothing processing equipment control method and apparatus provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A control method for a garment processing device, characterized in that, The method includes: If the target clothing processing equipment is in operation, acquire the water flow data of the target clothing processing equipment; If it is determined that the water flow data of the target clothing processing equipment is abnormal, determine the target adjustment coefficient of the opening time of the water inlet valve in the target clothing processing equipment and the target opening degree of the water inlet valve; Based on the target adjustment coefficient, determine the target opening time of the water inlet valve in the target garment processing equipment; The inlet valve is controlled based on the target opening degree and the target opening time.

2. The control method for clothing processing equipment according to claim 1, characterized in that, Determining the target opening degree of the inlet valve includes: Based on the water flow data, determine the type of water inflow anomaly; Based on the type of water inlet abnormality, determine the target opening degree of the water inlet valve in the target clothing processing equipment.

3. The control method for clothing processing equipment according to claim 2, characterized in that, The step of determining the type of water inflow anomaly based on the water flow data includes: Perform water pressure analysis on the water flow data to determine the inlet water pressure and water flow velocity; If the inlet water pressure is less than the preset water pressure threshold, then the inlet water abnormality type is determined to be a low water pressure abnormality type; If the water flow velocity is less than a preset first velocity threshold, then the water inlet abnormality type is determined to be a severe pipe blockage type. If the water flow velocity is greater than or equal to the first flow velocity threshold and less than the preset second flow velocity threshold, then the water inlet abnormality type is determined to be a minor pipe blockage type.

4. The control method for clothing processing equipment according to claim 1, characterized in that, The target adjustment coefficient includes the user habit adjustment coefficient and the current working condition adjustment coefficient; If it is determined that the water flow data of the target clothing processing equipment is abnormal, the step of determining the target adjustment coefficient for the opening time of the inlet valve in the target clothing processing equipment includes: If the water flow data of the target clothing processing device is determined to be abnormal, obtain the user habit adjustment coefficient stored based on historical user habits; Based on the water flow data, determine the adjustment coefficient for the current operating condition.

5. The control method for clothing processing equipment according to claim 4, characterized in that, The current operating condition adjustment coefficients include water pressure correction coefficient, clothing water absorption coefficient, pipeline resistance correction coefficient, and water level correction coefficient; The step of determining the current operating condition adjustment coefficient based on the water flow data includes: Based on the water flow data, determine the current water pressure, current water level, and current flow velocity; Determine the water pressure correction factor based on the current water pressure; The water absorption coefficient of the clothing is determined based on the change in the current water level. Determine the water level correction factor based on the current water level value; The degree of pipe blockage is determined based on the current flow rate and the current water pressure. The pipeline resistance correction coefficient is determined based on the degree of pipeline blockage.

6. The control method for clothing processing equipment according to claim 5, characterized in that, Determining the water absorption coefficient of the clothing based on the change in the current water level includes: Obtain information on the water level change within a target time period after water enters through the inlet valve; Based on the water level change information within the target time period, determine the current water absorption coefficient of the clothing.

7. The control method for clothing processing equipment according to claim 5, characterized in that, After determining the water absorption coefficient of the clothing based on the change in the current water level, the method further includes: If the water absorption coefficient of the clothing is greater than the preset water absorption coefficient threshold, the washing chamber of the target clothing processing device is controlled to rotate so that the clothing can absorb water.

8. The control method for clothing processing equipment according to claim 5, characterized in that, The method further includes: If the change in any of the following dimensions—the change in current water pressure, the change in current water level, or the change in pipe blockage intensity—is greater than a corresponding preset threshold, then the dimension corresponding to the change exceeding the threshold is reconfirmed.

9. The control method for clothing processing equipment according to claim 1, characterized in that, Determining the target opening time of the water inlet valve in the target garment processing equipment based on the target adjustment coefficient includes: Based on the target adjustment coefficient, determine the initial target opening time of the water inlet valve in the target clothing processing equipment; Obtain the water inlet intermittent cycle; The initial target opening time is compensated based on the water inlet intermittent cycle to obtain the target opening time.

10. The control method for clothing processing equipment according to claim 1, characterized in that, After controlling the inlet valve according to the target opening degree and the target opening time, the method further includes: Obtain the current water level, the unit change in the current water level, and the pipe blockage status; The water inlet status is determined based on the current water level, the unit change in the current water level, and the pipe blockage status.

11. The control method for clothing processing equipment according to claim 10, characterized in that, Determining the water inlet status based on the current water level, the unit change in the current water level, and the pipe blockage status includes: If the current water level reaches the target water level, then the water intake is considered complete. If the current water level has not reached the target water level, the unit change is normal, the pipe blockage is clear, and the difference between the actual water inlet time and the target opening time is less than the first target difference threshold, then the water inlet status is determined to be normal. If the current water level has not reached the target water level, the unit change is normal, the pipe blockage is clear, and the difference between the actual water inlet time and the target opening time is greater than or equal to the first target difference threshold and less than the second target difference threshold, then the water inlet state is determined to be a low water pressure state. If the current water level has not reached the target water level and the pipe blockage status is the first blockage status, then the water inlet status is determined to be the first blockage abnormal status. If the current water level has not reached the target water level and the pipe blockage status is the second blockage status, then the water inlet status is determined to be the second blockage abnormal status.

12. The control method for clothing processing equipment according to claim 11, characterized in that, After controlling the inlet valve according to the target opening degree and the target opening time, the method further includes: If the water inlet state is the low water pressure state, push an alarm notification to the target terminal; If the water inlet status is the first blockage abnormality status, control the buzzer of the target clothing processing equipment to issue a periodic alarm; If the water inlet status is the second blockage abnormality status, then the water inlet valve is controlled to close.

13. The control method for clothing processing equipment according to claim 10, characterized in that, After determining the water inlet status based on the current water level, the unit change in the current water level, and the pipe blockage status, the method further includes: Record abnormal water inlet status, time of failure, and abnormal water flow data; Upload the data corresponding to the abnormal water ingress state, the time of the fault occurrence, the abnormal water flow data, and the user's operation feedback data to the target server for subsequent iterative optimization.

14. The control method for clothing processing equipment according to claim 13, characterized in that, The communication methods between the target clothing processing device and the target server include: Communicate with the target server through a first network mode; If communication with the target server cannot be achieved through the first network mode, then communication with the target server shall be achieved through the second network mode. If communication with the target server cannot be established via the second network mode, the data to be uploaded will be stored locally. If the target clothing processing device subsequently resumes communication with the target server, the upload process will be restarted.

15. The control method for clothing processing equipment according to claim 1, characterized in that, Before acquiring the water flow data of the target clothing processing device, the method further includes: Collect initial water flow data of the target clothing processing equipment; The initial water flow data is subjected to average filtering to mark abnormal initial water flow data and to obtain the filtered water flow data of the target clothing processing device. The initial flow data of the marked anomalies, as well as the filtered flow data, are stored.

16. A control device for clothing processing equipment, characterized in that, The device includes: The acquisition module is used to acquire the water flow data of the target clothing processing equipment if the target clothing processing equipment is in operation. The determination module is used to determine the target adjustment coefficient of the opening time of the water inlet valve in the target clothing processing equipment and the target opening degree of the water inlet valve if the water flow data of the target clothing processing equipment is determined to be abnormal. The determining module is also used to determine the target opening time of the water inlet valve in the target clothing processing equipment based on the target adjustment coefficient; The control module is used to control the water inlet valve according to the target opening degree and the target opening time.

17. A washing machine, characterized in that, The washing machine includes a processor, a memory, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to implement the steps of the clothing handling device control method according to any one of claims 1 to 15.

18. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that is executed by a processor to implement the steps of the garment handling equipment control method according to any one of claims 1 to 15.

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