Drying control method, apparatus, washing machine, and computer readable storage medium

Abstract

The embodiment of the application discloses a drying control method and device, a washing machine and a computer readable storage medium, and belongs to the technical field of washing machines. The method comprises the following steps: a target disturbance is applied to the running parameter of the washing machine during the drying process; the running response information of the washing machine under the target disturbance is acquired, and the drying state of the current clothes is determined based on the running response information; the target control strategy is determined based on the drying state; and the washing machine is controlled to perform the drying operation based on the target control strategy. According to the embodiment of the application, the disturbance is actively applied to the running parameter of the washing machine, and the corresponding running response information is acquired, so that the drying state of the clothes can be accurately evaluated by using the running response information, the accurate identification of the drying state is realized without increasing additional sensors, and the corresponding target control strategy is executed according to the drying state to perform the drying operation, which helps to reduce the false drying phenomenon and avoid over-drying and energy waste caused by blindly prolonging the drying.

Description

Technical Field

[0001] This application relates to the field of washing machine technology, specifically to a drying control method, apparatus, washing machine, and computer-readable storage medium. Background Technology

[0002] Existing drum washing machine drying control schemes mainly rely on temperature detection, humidity detection, or preset fixed cycles to determine the dryness. Temperature-based schemes determine the average dryness of the clothes in the drum by measuring the temperature changes at the air inlet or outlet, humidity-based schemes determine whether to stop drying by detecting the humidity inside the drum, and tumbling schemes improve the distribution of clothes by using preset low-speed tumbling cycles.

[0003] The above solutions can meet basic drying needs under normal loads to some extent, but traditional solutions lack effective means of identification and response for the condition of clothes in complex load scenarios, resulting in poor drying performance. Summary of the Invention

[0004] This application provides a drying control method, apparatus, washing machine, and computer-readable storage medium to solve the problem of difficulty in effectively identifying and improving uneven stratification during the drying process.

[0005] In a first aspect, embodiments of this application provide a drying control method, including: Apply a target perturbation to the operating parameters of the washing machine during the drying process; The washing machine's operating response information under the target disturbance is obtained, and the current drying status of the clothes is determined based on the operating response information. Based on the aforementioned drying state, a target control strategy is determined; Based on the target control strategy, the washing machine is controlled to perform a drying operation.

[0006] In one embodiment, applying a target perturbation to the operating parameters of the washing machine during the drying process includes: When the target conditions are met during the drying process, a disturbance sampling segment is triggered, and within the disturbance sampling segment, the operating parameters of the washing machine are subjected to the target disturbance; wherein, The target conditions include at least one of the following: the drying operation time reaches a first duration threshold; the interval between the last triggering of the disturbance sampling segment is greater than a second duration threshold; the absolute value of the rate of change of the outlet air temperature is less than the first rate of change threshold for a duration reaching a third duration threshold; the absolute value of the rate of change of the inlet and outlet air temperature difference is less than the second rate of change threshold for a duration reaching a fourth duration threshold; the inlet and outlet air temperature difference is the difference between the inlet air temperature and the outlet air temperature. The disturbance sampling section includes a thermal disturbance sampling section and / or an air volume disturbance sampling section and / or a tumbling disturbance sampling section; the target disturbance includes applying a power disturbance to the heating power in the thermal disturbance sampling section, and / or applying a speed disturbance to the fan speed in the air volume disturbance sampling section, and / or applying a tumbling disturbance to the drum tumbling rhythm in the tumbling disturbance sampling section.

[0007] In one embodiment, the operational response information includes at least one of heating power, inlet air temperature, outlet air temperature, motor current, and drum speed; Determining the current drying status of the clothing based on the operational response information includes: Based on the change in heating power and the change in outlet air temperature before and after the power disturbance, the thermal response coefficient is determined; and / or, Based on the change in the inlet and outlet air temperature difference before and after the turbulence disturbance, the turbulence exposure response coefficient is determined; and / or, Based on the motor current and the drum speed during the tumbling disturbance process, the agglomeration resistance coefficient is determined; and / or, The recovery rebound amount is determined based on the outlet air temperature before the tumbling disturbance and the outlet air temperature of the recovery sampling section after the tumbling disturbance ends. The current dryness state of the garment is determined based on the thermal response coefficient and / or the tumble exposure response coefficient and / or the agglomeration retardation coefficient and / or the recovery rebound amount.

[0008] In one embodiment, determining the thermal response coefficient based on the change in heating power and the change in outlet air temperature before and after the power disturbance includes: The ratio of the change in heating power to the change in outlet air temperature is defined as the thermal response coefficient. The determination of the turbulence exposure response coefficient based on the change in the inlet and outlet air temperature difference before and after the turbulence disturbance includes: The change in the inlet and outlet air temperature difference before and after the turbulence disturbance is determined as the ratio of the inlet and outlet air temperature difference reference value before the turbulence disturbance to the turbulence exposure response coefficient; wherein, the inlet and outlet air temperature difference reference value is the average value of the inlet and outlet air temperature difference during the reference sampling period before the disturbance sampling segment; The determination of the agglomeration resistance coefficient based on the motor current and the drum speed during the tumbling disturbance process includes: The first deviation of the peak value of the motor current relative to the reference current is determined, and the second deviation of the target time for the drum speed to reach a stable state from the reference stable time is determined. The first deviation and the second deviation are then weighted and summed to obtain the agglomeration resistance coefficient. The reference current is the average value of the motor current during the reference sampling period. The determination of the recovery rebound amount based on the outlet air temperature before the turbulence disturbance and the outlet air temperature of the recovery sampling segment after the turbulence disturbance ends includes: The relative change between the average value of the outlet air temperature in the recovery sampling section and the average value of the outlet air temperature before the turbulence disturbance is determined as the recovery rebound amount.

[0009] In one embodiment, determining the current dryness state of the garment based on the thermal response coefficient and / or the tumble exposure response coefficient and / or the agglomeration retardation coefficient and / or the recovery rebound includes: When the thermal response coefficient is less than the first threshold, the dispersion and exposure response coefficient is less than the second threshold, and the agglomeration and retardation coefficient is less than the third threshold, the drying state is determined to be an overall uniformly moist state. When the thermal response coefficient is greater than or equal to the first threshold, the dispersion exposure response coefficient is greater than or equal to the second threshold, and the agglomeration retardation coefficient is less than the fourth threshold, the drying state is determined to be an externally dry and internally moist state. When the dispersion exposure response coefficient is greater than or equal to the fifth threshold and the aggregation retardation coefficient is greater than or equal to the fourth threshold, the drying state is determined to be a local aggregation retardation state. When the thermal response coefficient is greater than or equal to the sixth threshold, the dispersion exposure response coefficient is less than the seventh threshold, the agglomeration retardation coefficient is less than the eighth threshold, and the recovery rebound is greater than the ninth threshold, the drying state is determined to be an overall uniform drying state.

[0010] In one embodiment, determining the target control strategy based on the dryness state includes: When the drying state is determined to be a uniformly humid state, the target control strategy is determined to be the first drying strategy; the first drying strategy includes: maintaining the current heating power, fan speed and rotation cycle. When the drying state is determined to be an externally dry and internally wet state, the target control strategy is determined to be the second drying strategy; the second drying strategy includes: reducing the heating power, increasing the fan speed, and shortening the pause time in the flipping cycle; When the drying state is determined to be a localized agglomeration and stagnant state, the target control strategy is determined to be the third drying strategy; the third drying strategy includes: pausing or reducing the heating power and performing at least two rounds of tumbling and dispersing actions; When the drying state is determined to be a uniform drying state, the target control strategy is determined to be the fourth drying strategy; the fourth drying strategy includes: reducing the heating power and slowing down the turning cycle.

[0011] In one embodiment, the method further includes: Heating ends when the drying state is determined to be the overall uniform drying state for N consecutive times, or when the total drying time reaches a preset upper limit; N is a positive integer greater than or equal to 2. When the cumulative heat exposure exceeds the safety threshold, the heating power is reduced or heating is stopped. The cumulative heat exposure is the cumulative value of the outlet air temperature exceeding the safety temperature threshold.

[0012] Secondly, embodiments of this application provide a drying control device, the device comprising: The disturbance application module is used to apply target disturbances to the operating parameters of the washing machine during the drying process; The status determination module is used to acquire the operating response information of the washing machine under the target disturbance, and determine the current drying status of the clothes based on the operating response information; The strategy determination module is used to determine a target control strategy based on the drying state; The drying control module is used to control the washing machine to perform drying operations based on the target control strategy.

[0013] In one embodiment, the disturbance application module includes: The disturbance application submodule is used to trigger a disturbance sampling segment when the target conditions are met during the drying process, and to perform a target disturbance on the operating parameters of the washing machine within the disturbance sampling segment; wherein, The target conditions include at least one of the following: the drying operation time reaches a first duration threshold; the interval between the last triggering of the disturbance sampling segment is greater than a second duration threshold; the absolute value of the rate of change of the outlet air temperature is less than the first rate of change threshold for a duration reaching a third duration threshold; the absolute value of the rate of change of the inlet and outlet air temperature difference is less than the second rate of change threshold for a duration reaching a fourth duration threshold; the inlet and outlet air temperature difference is the difference between the inlet air temperature and the outlet air temperature. The disturbance sampling section includes a thermal disturbance sampling section and / or an air volume disturbance sampling section and / or a tumbling disturbance sampling section; the target disturbance includes applying a power disturbance to the heating power in the thermal disturbance sampling section, and / or applying a speed disturbance to the fan speed in the air volume disturbance sampling section, and / or applying a tumbling disturbance to the drum tumbling rhythm in the tumbling disturbance sampling section.

[0014] In one embodiment, the operational response information includes at least one of heating power, inlet air temperature, outlet air temperature, motor current, and drum speed; the status determination module includes: The first determining submodule is used to determine the thermal response coefficient based on the change in heating power and the change in outlet air temperature before and after the power disturbance. The second determining submodule is used to determine the tumbling exposure response coefficient based on the change in the inlet and outlet air temperature difference before and after the tumbling disturbance. The third determining submodule is used to determine the agglomeration resistance coefficient based on the motor current and the drum speed during the tumbling disturbance process; The fourth determining submodule is used to determine the recovery rebound amount based on the outlet air temperature before the tumbling disturbance and the outlet air temperature of the recovery sampling section after the tumbling disturbance ends. The fifth determining submodule is used to determine the current dryness state of the clothing based on the thermal response coefficient and / or the tumbling exposure response coefficient and / or the agglomeration retardation coefficient and / or the recovery rebound amount.

[0015] In one embodiment, the first determining submodule is specifically used to determine the ratio of the change in heating power to the change in air outlet temperature as the thermal response coefficient; The second determining submodule is specifically used to determine the change in the inlet and outlet air temperature difference before and after the scattering disturbance to the reference value of the inlet and outlet air temperature difference before the scattering disturbance as the scattering exposure response coefficient; wherein, the reference value of the inlet and outlet air temperature difference is the average value of the inlet and outlet air temperature difference in the reference sampling period before the disturbance sampling segment; The third determining submodule is specifically used to determine the first deviation value of the peak value of the motor current relative to the reference current, and to determine the second deviation value of the target time for the drum speed to reach a stable state from the reference stable time, and to perform a weighted summation of the first deviation value and the second deviation value to obtain the agglomeration resistance coefficient; wherein, the reference current is the average value of the motor current within the reference sampling period; The fourth determining submodule is specifically used to determine the relative change between the average value of the outlet air temperature of the recovery sampling segment and the average value of the outlet air temperature before the tumbling disturbance as the recovery rebound amount.

[0016] In one embodiment, the fifth determining submodule includes: The first determining unit is used to determine that the drying state is an overall uniformly moist state when the thermal response coefficient is less than a first threshold, the scattering and exposure response coefficient is less than a second threshold, and the agglomeration and retardation coefficient is less than a third threshold. The second determining unit is used to determine that the drying state is an externally dry and internally wet state when the thermal response coefficient is greater than or equal to the first threshold, the scattering exposure response coefficient is greater than or equal to the second threshold, and the agglomeration retardation coefficient is less than the fourth threshold. The third determining unit is used to determine that the drying state is a localized agglomeration and stagnant state when the scattering exposure response coefficient is greater than or equal to the fifth threshold and the agglomeration retardation coefficient is greater than or equal to the fourth threshold. The fourth determining unit is used to determine that the drying state is an overall uniform drying state when the thermal response coefficient is greater than or equal to the sixth threshold, the scattering exposure response coefficient is less than the seventh threshold, the agglomeration retardation coefficient is less than the eighth threshold, and the recovery rebound amount is greater than the ninth threshold.

[0017] In one embodiment, the strategy determination module includes: The first strategy determination subunit is used to determine the target control strategy as the first drying strategy when the drying state is determined to be an overall uniformly humid state; the first drying strategy includes: maintaining the current heating power, fan speed and rotation cycle. The second strategy determination subunit is used to determine the target control strategy as the second drying strategy when the drying state is determined to be an externally dry and internally wet state; the second drying strategy includes: reducing the heating power, increasing the fan speed and shortening the pause time in the flipping cycle; The third strategy determination subunit is used to determine the target control strategy as the third drying strategy when the drying state is determined to be a local agglomeration and stagnant state; the third drying strategy includes: pausing or reducing the heating power and performing at least two rounds of tumbling action; The fourth strategy determination subunit is used to determine the target control strategy as the fourth drying strategy when the drying state is determined to be an overall uniform drying state; the fourth drying strategy includes: reducing the heating power and slowing down the flipping cycle.

[0018] In one embodiment, the drying control device further includes: The first heating control module is used to end heating when the drying state is determined to be the overall uniform drying state for N consecutive times, or when the total drying time reaches a preset upper limit; N is a positive integer greater than or equal to 2. The second heating control module is used to reduce the heating power or stop heating when the cumulative heat exposure exceeds the safety threshold. The cumulative heat exposure is the cumulative value of the outlet air temperature exceeding the safety temperature threshold.

[0019] Thirdly, embodiments of this application also provide a washing machine, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps in the drying control method described above.

[0020] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in the drying control method described above.

[0021] Fifthly, embodiments of this application also provide a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the methods provided in the various optional implementations described in the embodiments of this application.

[0022] In summary, in this embodiment, a target perturbation can be applied to the operating parameters of the washing machine during the drying process, and the operating response information of the washing machine under the target perturbation can be obtained. Then, based on the operating response information, the current drying state of the clothes can be determined, and based on the drying state, a target control strategy can be determined. Finally, based on the target control strategy, the washing machine can be controlled to perform the drying operation. By actively applying a perturbation to the operating parameters of the washing machine and obtaining the corresponding operating response information, this embodiment can accurately assess the drying state of the clothes using the operating response information. This allows for accurate identification of the drying state without adding additional sensors, and the targeted execution of the corresponding target control strategy for drying operation based on the drying state. This helps reduce false drying and avoids over-drying and energy waste caused by blindly extending the drying process. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the 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 flowchart of a drying control method provided in an embodiment of this application; Figure 2 This is a schematic diagram of a specific embodiment of determining the drying state provided in this application; Figure 3 This is a timing diagram of a detection window provided in an embodiment of this application; Figure 4This is a software module architecture diagram of a washing machine provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of a drying control device provided in an embodiment of this application; Figure 6 This is a schematic diagram of the structure of a washing machine provided in one embodiment of this application. Detailed Implementation

[0025] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0026] It's important to note that in drum washing machines or washer-dryer combos, clothes continuously tumble inside the drum during the drying process, exchanging heat and moisture with the hot air. During this process, the controller typically determines the drying progress based on temperature sensor readings. A common control method is to detect the difference between the inlet and outlet air temperatures or the rate of temperature change. When the temperature difference narrows to a preset threshold or the temperature change plateaus, the clothes are considered dry and the drying process ends. Another method involves installing a humidity sensor inside the drum to detect the humidity level of the exhaust air, stopping heating when the humidity drops to a set threshold.

[0027] To address the issue of uneven drying, some solutions propose improving the distribution of clothes within the drum through low-speed shaking or specific tumbling rhythms, preventing clothes from becoming tangled or piling up in the same spot for extended periods. These shaking operations are typically performed at preset time points or fixed cycles, aiming to mechanically spread the clothes out again to increase the contact area between the hot air and the clothing surface.

[0028] However, the inventors of this application have discovered the following shortcomings in practical use of the aforementioned existing solutions. Temperature-based and humidity-based drying methods primarily reflect the average thermal and humidity state of the entire load of clothing, rather than the differences in dryness between different layers within the clothing. When handling thick garments, clothing with folded edges or cuffs, rolled-up towels, or bedding, the surface fabric heats up quickly and moisture evaporates significantly, while moisture in the inner layers or folded areas is difficult to evaporate simultaneously, resulting in a so-called "dry outside, wet inside" or "dry outside, wet inside" state. At this point, the overall average signal obtained by the temperature or humidity sensor may be close to the drying completion threshold, but localized residual moisture still exists inside the clothing. The user may feel the surface is dry after removing the clothing, but the folded areas or thicker sections remain damp.

[0029] Furthermore, while existing tumbling solutions can improve garment distribution to some extent, their actions are mostly based on fixed time intervals and do not involve proactively judging the current layered drying state of the garments. Therefore, it is difficult to dynamically adjust control parameters such as tumbling intensity, heating power, or airflow according to actual working conditions. To eliminate localized residual moisture, existing solutions often passively extend the overall heating time, which not only increases energy consumption but may also lead to over-drying of already dried surface layers or thin areas, resulting in problems such as fabric shrinkage, stiffening of the hand feel, and fiber damage. In summary, how to effectively identify and improve the uneven layering state during the drying process without relying on additional complex sensors is a technical problem that urgently needs to be solved in this field.

[0030] To address the current difficulty in effectively identifying and improving uneven stratification during the drying process, this application aims to provide a drying control method. By actively perturbing the operating parameters of the washing machine during the drying process and obtaining corresponding operating response information, the method can accurately assess the drying status of the clothes using the operating response information. This allows for precise identification of the drying status without adding additional sensors, and the method can then execute targeted control strategies based on the drying status to perform the drying operation. This helps reduce false drying and avoids over-drying and energy waste caused by blindly extending the drying process.

[0031] The following sections provide detailed descriptions of each example. It should be noted that the order in which the embodiments are described is not intended to limit the priority of the embodiments.

[0032] Figure 1 The schematic diagram illustrates a flow chart of a drying control method according to an embodiment of this application. The main body executing the drying control method can be a laundry washing device, which can be integrated into any electronic device with data processing, network communication, and program execution functions. The electronic device can be a server or a terminal, etc.

[0033] The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, network acceleration services (Content Delivery Network, CDN), as well as big data and artificial intelligence platforms.

[0034] The terminal can be a washing machine or a mobile phone, tablet, laptop, desktop computer, smart home device, wearable smart device, or in-vehicle computer connected to the washing machine, but is not limited to these. The terminal and the server can be connected directly or indirectly through wired or wireless communication, which is not limited herein.

[0035] In this embodiment, the washing machine includes at least the following hardware components: a drum assembly, a drive motor, a heating module, a fan module, a temperature detection module, a controller, and a data acquisition module. The drum assembly is used to hold clothes and perform low-speed forward rotation, low-speed reverse rotation, pause, and tumbling actions. The drive motor drives the drum and feeds back motor current and speed information to the controller. The heating module heats the air in the circulating air path. The fan module drives hot air through the clothes inside the drum. The temperature detection module includes at least an inlet air temperature detection unit and an outlet air temperature detection unit. The controller performs detection window scheduling, active disturbance control, feature parameter extraction, state recognition, and strategy decision-making. The data acquisition module samples various operating signals at fixed intervals.

[0036] In this embodiment, the description will be from the perspective of a clothes washing device, which can be integrated into a server or terminal. To facilitate the explanation of the clothes washing method of this application, the following will describe the clothes washing device integrated into the controller of a washing machine in detail, that is, the controller will be used as the execution subject for detailed explanation.

[0037] Reference Figure 1 The diagram shows a flow chart of a drying control method according to this application. The method may specifically include steps S101 to S104, as follows: S101: Apply a target disturbance to the operating parameters of the washing machine during the drying process.

[0038] In this embodiment, it is considered that during the clothes drying process, the moisture in the clothes gradually evaporates under the action of hot air and is carried out of the drum by the airflow. As the drying process progresses, the moisture content of the clothes changes continuously, and its thermophysical parameters (such as heat capacity, thermal conductivity, etc.) also change accordingly. Specifically, when the clothes contain a lot of moisture, the evaporation of moisture requires the absorption of a large amount of latent heat of vaporization. At this time, more heat is used for the phase change process rather than heating the air, so the response of the outlet air temperature to changes in heating power is relatively slow. When the surface of the clothes tends to be dry, the evaporation rate decreases, and more heat is used to heat the air flowing through the clothes, so the response of the outlet air temperature to changes in heating power becomes sensitive. This embodiment of the application utilizes the above physical principle to actively apply a short-term disturbance to the operating parameters of the washing machine during the drying process, thereby exciting the internal thermal and moisture state of the clothes into a detectable external response signal.

[0039] In this embodiment, the target disturbance refers to a deliberately applied change in control quantity relative to the current stable operating state. The purpose of this target disturbance is not to alter the overall drying process, but rather to observe the system response shortly after the disturbance occurs, thereby reconstructing the current drying state of the garments. The target disturbance can be applied by increasing or decreasing at least one of the following parameters within a short time window: heating power, fan speed, or drum tumbling cycle.

[0040] In one implementation, a standard detection window can be activated during normal drying operation when predetermined conditions are met. Within this detection window, the controller actively increases the heating power from the current value by a preset amount (e.g., 10% to 20%) and maintains this increase for a short period (e.g., 10 to 15 seconds). This power change causes a short-term change in the temperature of the hot air entering the drum. If the surface of the clothing is already relatively dry, more heat is used to heat the air, and the outlet air temperature will rise more quickly, following the rise in inlet air temperature; if the clothing is still relatively damp, more heat is absorbed by the evaporation process, and the rate of increase in outlet air temperature is relatively slower.

[0041] In another implementation, the target disturbance can also be a tumbling disturbance, that is, changing the tumbling rhythm of the drum, such as performing a pause, reverse, or low-speed tumbling action. The tumbling action changes the distribution of clothes in the drum, and wet clothes that were originally in the inner layer or hidden may be exposed to the hot air path, thereby causing changes in the outlet air temperature or the temperature difference between the inlet and outlet air.

[0042] In another implementation, the target disturbance can be an airflow disturbance, i.e., a short-term adjustment of the fan speed. Changes in airflow alter the intensity of convective heat transfer between the hot air and the clothing, which will also cause observable changes in the temperature response.

[0043] It should be noted that the above-mentioned disturbance methods can be used individually or in combination. The settings can be adjusted according to the actual situation; for example, a combination of thermal disturbance and turbulence disturbance can be used, or a combination of thermal disturbance, airflow disturbance, and turbulence disturbance can be used.

[0044] In this embodiment, the target disturbance is applied briefly, and both the amplitude and duration of the disturbance are limited to safe ranges, ensuring that it will not damage the clothing or significantly affect the overall drying efficiency. After the disturbance ends, the controller will restore the normal drying parameters; therefore, the disturbance itself will not cause a significant interruption or loss of control in the drying process.

[0045] S102: Obtain the operating response information of the washing machine under the target disturbance, and determine the current drying status of the clothes based on the operating response information.

[0046] In this embodiment, the operational response information refers to various operational signals of the washing machine collected before, during, and / or after the target disturbance is applied to the washing machine's operating parameters. The operational response information may include, but is not limited to, inlet air temperature, outlet air temperature, motor current, drum speed, fan speed, and heating power. The operational response information can be obtained using existing sensors on the washing machine (such as inlet air temperature sensors, outlet air temperature sensors, motor current detection circuits, and speed detection units), without the need for additional dedicated hardware.

[0047] In this embodiment, the operational response information refers to the physical quantities generated by the washing machine under the target disturbance that reflect changes in the thermal and moisture state of the clothes. The patterns of change in these physical quantities have a definite correlation with the current dryness state of the clothes. For example, under thermal disturbance, the response speed of the outlet air temperature to changes in heating power is closely related to the moisture content of the clothing surface; under tumbling disturbance, the change in the temperature difference between the inlet and outlet air before and after tumbling is related to the amount of new wet layer exposed after tumbling; and the peak value of the motor current and the stabilization time of the motor speed during tumbling are related to whether the clothes are clumped together, rolled up, or have thick areas of obstruction.

[0048] In this embodiment, after the controller obtains the operation response information, it can deduce the current drying status of the clothing by analyzing and processing the operation response information. The drying status characterizes the uniformity of drying of the clothing in spatial distribution.

[0049] S103: Determine the target control strategy based on the dry state.

[0050] In this embodiment, the controller has a pre-stored strategy library containing control strategies corresponding to various drying states. The control strategies corresponding to different drying states can be adjusted and calibrated according to the actual machine model, program type and load conditions.

[0051] In this embodiment, after determining the current drying state of the clothing, the controller retrieves the corresponding target control strategy from a preset control strategy library based on that state. The target control strategy consists of preset control parameters for different drying states, with different control parameters corresponding to different drying states. These control parameters may include at least one of the following: heating power, fan speed, and drum tumbling cycle (such as forward rotation time, reverse rotation time, pause time, and tumbling action time).

[0052] S104: Based on the target control strategy, control the washing machine to perform the drying operation.

[0053] In this embodiment, after the controller determines the target control strategy, it converts the control parameters in the target control strategy into executable drive instructions and outputs them to the corresponding execution components of the washing machine, thereby controlling the washing machine to perform subsequent drying operations according to the target control strategy.

[0054] Specifically, the controller can adjust the heating power through pulse width modulation (PWM) signals or relay control; adjust the fan speed through frequency converter drive signals; and control the forward, reverse, pause, and tumbling actions of the drum through motor drive signals. The drive commands are continuously output according to the parameter values ​​specified by the target control strategy until the next detection window arrives or the drying end conditions are met.

[0055] It should be noted that the drying control method provided in this application is a closed-loop control process. That is, after controlling the washing machine to perform the drying operation based on the target control strategy, the controller will continue to monitor the operating status and start the next round of detection when the trigger condition is met, returning to the step of applying the target disturbance to the operating parameters of the washing machine during the drying process, thereby realizing dynamic and adaptive control of the entire drying process.

[0056] The technical solution adopted in this application embodiment can proactively apply targeted perturbations to the operating parameters of the washing machine at appropriate times without relying on additional dedicated sensors. This transforms the internal heat and moisture distribution of clothing, which is not directly observable, into a detectable external physical response, providing an accurate data foundation for subsequent layered drying state identification and targeted control. Thus, this application embodiment can effectively improve the accurate identification of uneven layered drying of clothing during the drying process, reduce over-drying, damage to clothes, and energy waste caused by blindly extending drying time, while improving the uniformity of the final drying effect and the user experience.

[0057] In one feasible implementation, the step of applying a target perturbation to the operating parameters of the washing machine during the drying process may specifically include: triggering a perturbation sampling segment when the target condition is met during the drying process, and performing a target perturbation on the operating parameters of the washing machine within the perturbation sampling segment.

[0058] In this embodiment, during the clothes drying process, as hot air continuously passes through the clothes inside the drum, the moisture in the clothes gradually evaporates and is carried out of the drum by the airflow, causing the moisture content of the clothes to continuously decrease. Therefore, the controller will determine when to apply a target disturbance to detect the actual dryness of the clothes. In this embodiment, a standardized detection process will only be initiated when certain triggering conditions are met.

[0059] In this embodiment, the target condition is a rule used to determine whether a detection window should be initiated. The detection window is a time interval specifically used to apply a disturbance and collect response data. Outside the detection window, the washing machine operates according to normal drying parameters; when the target condition is met, the controller triggers the initiation of the detection window and executes the target disturbance within that window.

[0060] Specifically, the target conditions may include at least one of the following: Firstly, the drying runtime reaches a first duration threshold. That is, starting from the start of the drying program, a detection window is triggered when the continuous running time reaches a preset duration (e.g., 4 minutes, 8 minutes, or 12 minutes). This triggering method is a timed trigger, suitable for periodic detection at key nodes in the drying process to ensure the controller can continuously track changes in the garment's condition. In this embodiment, the first duration threshold can be set according to the program type, load, or fabric type. For example, a longer interval can be set for heavy cotton or linen garments, while a shorter interval can be set for lightweight synthetic fiber garments. This embodiment does not specifically limit this.

[0061] Secondly, the interval between the last triggered perturbation sampling segment and the current one must be greater than the second duration threshold. In other words, regardless of when the last detection window was executed, a sufficiently long time must have elapsed before the current detection is executed. This condition aims to prevent the detection window from executing too frequently, thereby preventing frequent perturbations from affecting drying efficiency or causing perceptible abnormal operating cycles. In this embodiment, the second duration threshold (e.g., 4 to 8 minutes) may be the same as or different from the first duration threshold, and its specific value can be calibrated according to the actual machine model and program type.

[0062] Third, the absolute value of the rate of change of the outlet air temperature is less than the first rate of change threshold and continues to reach the third duration threshold. In this embodiment, the rate of change of the outlet air temperature refers to the derivative of the outlet air temperature with respect to time, reflecting how quickly the outlet air temperature changes over time. When drying is in a stable stage, the change in outlet air temperature tends to be gradual, and the absolute value of the rate of change is small; conversely, in the initial heating stage of drying or when the state of the clothes changes abruptly, the rate of change of the outlet air temperature is larger. When the absolute value of the rate of change of the outlet air temperature continues to be less than the first rate of change threshold and reaches the third duration threshold (e.g., 3 to 5 seconds), it indicates that the system has entered a relatively stable thermal equilibrium state. At this time, if a disturbance is applied, the true response of the clothes to the disturbance can be obtained more accurately, avoiding interference with the judgment result due to the system itself being in a stage of drastic change.

[0063] Fourth, the absolute value of the rate of change of the inlet and outlet air temperature difference is less than the second rate of change threshold and continues to reach the fourth duration threshold. In this embodiment, the inlet and outlet air temperature difference refers to the difference between the inlet air temperature and the outlet air temperature. The magnitude of the inlet and outlet air temperature difference reflects the heat lost by the hot air before and after passing through the clothing, and embodies the latent heat of vaporization absorbed by the evaporation of moisture in the clothing. When the clothing has a high moisture content, evaporation is strong, the outlet air temperature is significantly lower than the inlet air temperature, and the inlet and outlet air temperature difference is large; when the clothing tends to be dry, evaporation weakens, the outlet air temperature gradually approaches the inlet air temperature, and the inlet and outlet air temperature difference decreases. The rate of change of the inlet and outlet air temperature difference also reflects whether the system is in a stable state. When the absolute value of this rate of change is continuously less than the second rate of change threshold and reaches the fourth duration threshold (e.g., 3 to 5 seconds), it indicates that the heat and moisture exchange of the system tends to be stable and is suitable for detection.

[0064] It should be noted that the above four conditions can be used independently or in combination. For example, the detection window can be set to be triggered only when both "the distance from the last detection exceeds the minimum interval" and "the outlet air temperature change rate enters the platform zone" are met simultaneously, in order to avoid performing detection before the system is stable.

[0065] In this embodiment, after the target condition is triggered, the controller enters the disturbance sampling segment. The disturbance sampling segment refers to a time interval specifically used to apply disturbances and collect corresponding response data, which may include at least one of thermal disturbance sampling segment, air volume disturbance sampling segment, and tumbling disturbance sampling segment.

[0066] In this embodiment, the thermal disturbance sampling segment refers to the time period during which a step change in heating power is applied. For example, the controller increases the heating power from the current value by a preset percentage (e.g., 10%~20%) and maintains it for a short period of time (e.g., 10~15 seconds). This power change causes a short-term rise in the temperature of the hot air entering the drum. By observing the speed and magnitude of the response of the outlet air temperature to this power step change, the thermal inertia of the clothing surface can be inferred, thereby determining whether the surface is already dry.

[0067] In this embodiment, the airflow disturbance sampling segment refers to the time period during which a step change is applied to the fan speed. For example, the controller increases the fan speed by a preset amount (e.g., 5%~20%) and maintains this for a short period. Changes in airflow alter the intensity of convective heat transfer between the hot air and the clothing. By observing changes in temperature response, the sensitivity of the clothing to changes in airflow can be determined, thereby aiding in the assessment of the clothing's distribution and moisture content.

[0068] In this embodiment, the tumbling disturbance sampling segment refers to the time period during which the drum's tumbling rhythm is altered. For example, the controller controls the drum to perform pauses, low-speed reverse rotation, or specific tumbling actions. The tumbling action changes the spatial distribution of clothing within the drum; wet clothing that was originally in the inner layer or wrapped may be exposed to the hot air path, causing a change in the heat and moisture exchange state. By observing the changes in temperature signals or temperature difference signals before and after tumbling, it can be determined whether there is an insufficiently dried wet layer inside the clothing.

[0069] In this embodiment, the target disturbance is the specific control action performed within the aforementioned disturbance sampling segment. If the disturbance sampling segment is a thermal disturbance sampling segment, the target disturbance is the power disturbance applied to the heating power; if the disturbance sampling segment is an air volume disturbance sampling segment, the target disturbance is the speed disturbance applied to the fan speed; if the disturbance sampling segment is a tumbling disturbance sampling segment, the target disturbance is the tumbling disturbance applied to the drum tumbling rhythm.

[0070] It should be noted that the three perturbation sampling segments and three perturbation methods mentioned above can be used individually or in combination. For example, in one implementation, the thermal perturbation sampling segment can be executed first, followed by the tumbling perturbation sampling segment after the thermal perturbation ends, thereby acquiring response information from multiple dimensions within a single detection window, improving the accuracy and robustness of state recognition. In another implementation, only the thermal perturbation sampling segment can be executed to obtain the thermal response information of the clothing surface through a single perturbation. This method is simpler to implement and suitable for scenarios with strict limitations on hardware resources and detection time.

[0071] It should be further noted that the disturbance amplitude and duration should be set reasonably. If the disturbance amplitude is too small, the response signal may be submerged in system noise, making it difficult to extract effective features; if the disturbance amplitude is too large or the duration is too long, it may cause unnecessary thermal shock to the clothing, or be perceived by the user as abnormal operation. In the embodiments of this application, it is preferred to set the heating power disturbance amplitude to 10%~20% of the current power and the disturbance duration to 10~15 seconds; the fan speed disturbance amplitude is set to 5%~20% of the rated speed and the duration is set to 5~15 seconds; the tumbling disturbance is achieved by changing the stopping, reversing, or low-speed tumbling action of the drum, and the duration of a single tumbling action is preferably 2~8 seconds. The above values ​​are only examples, and those skilled in the art can make adaptive adjustments according to the actual model.

[0072] Furthermore, when the target condition is triggered to execute the detection window, the controller can first execute a baseline sampling segment, that is, continuously sample for a preset duration while keeping the current control variable unchanged, and record the baseline data before the disturbance. Then, the disturbance sampling segment is executed. The "baseline first, disturbance later" sampling method can effectively eliminate the interference of system drift and environmental changes on the disturbance response judgment and improve the accuracy of state identification.

[0073] In another implementation, after the disturbance sampling phase ends, the controller can also execute a recovery sampling phase, that is, after restoring normal control parameters, continue sampling for several seconds to observe whether the system can return to the state before the disturbance. The response characteristics during the recovery process can also be used to help determine the thermal and moisture status of clothing. For example, if the outlet air temperature drops slowly during the recovery process, it may indicate that there is still a lot of moisture being released from inside the clothing.

[0074] By adopting the technical solution of this application embodiment, a multi-condition triggering mechanism is set in the drying process, which can actively start a standardized disturbance detection process at the appropriate time without relying on additional dedicated sensors. By combining power disturbance, rotation speed disturbance and tumbling disturbance, the heat and moisture distribution state inside the clothes that cannot be directly observed can be transformed into an external physical response that can be detected, thereby providing an accurate data basis for subsequent layered drying state identification and targeted control.

[0075] In one feasible implementation, the operational response information includes at least one of heating power, inlet air temperature, outlet air temperature, motor current, and drum speed. (See reference...) Figure 2 The step in S102, which determines the current drying status of the clothing based on the operation response information, may specifically include S201~S205, as follows: S201: Determine the thermal response coefficient based on the changes in heating power and outlet air temperature before and after the power disturbance.

[0076] In this embodiment, the thermal response coefficient is a physical quantity used to characterize the sensitivity of the clothing surface to changes in heating power. The thermal response coefficient reflects how quickly the outlet air temperature changes when a known step change in heating power is applied; it directly reflects how heat is distributed in the airflow path—whether it is absorbed by the evaporation of moisture from the clothing or used to heat the air flowing through it. When the clothing contains a lot of moisture, a larger proportion of the applied heat is used for moisture evaporation, resulting in a smaller increase in outlet air temperature. When the clothing surface is relatively dry, the evaporation rate decreases, and a larger proportion of the applied heat is used to heat the air, resulting in a larger increase in outlet air temperature. Therefore, the magnitude of the thermal response coefficient can effectively reflect whether the clothing surface is relatively dry.

[0077] In one embodiment, the step of determining the thermal response coefficient based on the change in heating power and the change in outlet air temperature before and after the power disturbance may specifically include: determining the ratio of the change in heating power to the change in outlet air temperature as the thermal response coefficient.

[0078] Specifically, within a standard detection window, the controller first executes a baseline sampling segment, which, while maintaining the current control variable unchanged, continuously samples for a preset time (e.g., 5 to 15 seconds) to record baseline data before the disturbance. Within this baseline sampling segment, the controller calculates the average inlet air temperature, the average outlet air temperature, and the current value of the heating power. Subsequently, the controller enters a thermal disturbance sampling segment, applying a step disturbance to the heating power, increasing the heating power from its current value by a preset amount (e.g., 10% to 20%), and maintaining this increase for a preset time (e.g., 10 to 15 seconds). During the thermal disturbance sampling segment, the controller continuously collects the outlet air temperature and calculates the average outlet air temperature during this period. Therefore, the change in heating power is the difference between the heating power value after the disturbance and the heating power value before the disturbance; the change in outlet air temperature is the difference between the average outlet air temperature after the disturbance and the average outlet air temperature before the disturbance. Dividing the change in outlet air temperature by the change in heating power yields the thermal response coefficient.

[0079] Specifically, the thermal response coefficient can be calculated using the following formula: (1); in, Indicates the thermal response coefficient. This represents the average outlet air temperature of the baseline sampling section. This represents the average outlet air temperature of the thermal disturbance sampling section. The heating power before the power disturbance. This represents the heating power after power disturbance.

[0080] In this embodiment, the larger the thermal response coefficient, the greater the change in outlet air temperature caused by a unit power change, meaning the surface is drier; the smaller the ratio, the more heat is absorbed by the evaporation process, meaning the overall temperature is still relatively humid.

[0081] In this embodiment, by determining the ratio of the change in heating power to the change in outlet air temperature as the thermal response coefficient, the influence of differences in the absolute values ​​of different models and different heating powers on the judgment results can be eliminated, making the thermal response coefficient a normalized index with comparability.

[0082] S202: Determine the turbulence exposure response coefficient based on the change in the temperature difference between the inlet and outlet air before and after the turbulence disturbance.

[0083] In this embodiment, the tumbling exposure response coefficient is a physical quantity used to characterize the degree of change in heat and moisture exchange state before and after the tumbling action. When the controller performs tumbling disturbances (such as pauses, reversals, low-speed tumbling, etc.), the spatial distribution of clothes within the drum changes, and wet clothes that were originally in the inner layer or covered by other clothes may be exposed to the hot air path. This exposure causes a change in the intensity of heat and moisture exchange between the hot air and the wet clothes, which in turn manifests as a change in the temperature difference between the inlet and outlet air. If a new wet layer is exposed after tumbling, moisture evaporation increases, the outlet air temperature decreases, and the temperature difference between the inlet and outlet air increases; if the clothes are basically evenly dried, the temperature difference between the inlet and outlet air before and after tumbling does not change much. Therefore, the magnitude of the tumbling exposure response coefficient can effectively reflect whether there is still a wet layer inside the clothes that has not been fully dried.

[0084] In one embodiment, the step of determining the scattering exposure response coefficient based on the change in the inlet and outlet air temperature difference before and after the scattering disturbance may specifically include: determining the scattering exposure response coefficient as the ratio of the change in the inlet and outlet air temperature difference before and after the scattering disturbance to the reference value of the inlet and outlet air temperature difference before the scattering disturbance; wherein, the reference value of the inlet and outlet air temperature difference is the average value of the inlet and outlet air temperature difference during the reference sampling period before the disturbance sampling segment.

[0085] Specifically, within a standard detection window, the controller calculates the average inlet air temperature within the reference sampling range. and average outlet air temperature Then calculate the average value of the inlet and outlet air temperature difference. = - This serves as the baseline temperature difference before the turbulence disturbance. Subsequently, after the thermal disturbance sampling phase, the controller enters the turbulence disturbance sampling phase, executing standard turbulence actions, such as pausing for 2 to 3 seconds, low-speed reverse rotation for 6 to 8 seconds, and then pausing again for 2 seconds. After the turbulence disturbance is completed, the controller calculates the average inlet and outlet air temperature difference over a preset time period after turbulence. Then, the average inlet and outlet air temperature difference after the disturbance is subtracted from the baseline inlet and outlet air temperature difference before the disturbance to obtain the temperature difference change (i.e., Then, divide the difference by the baseline value of the inlet and outlet air temperature difference before the turbulence disturbance (to avoid the denominator being zero, a very small positive number can be added as a correction term) to obtain the turbulence exposure response coefficient.

[0086] Specifically, the scattering exposure response coefficient can be calculated using the following formula: (2); in, Indicates the scattering exposure response coefficient. This represents the average inlet and outlet air temperature difference within the baseline sampling section before the turbulence disturbance. This represents the average temperature difference between the inlet and outlet air after the turbulence. This represents the first parameter, which can be a very small positive number (e.g., 0.01℃) to prevent the denominator from being zero.

[0087] In this embodiment, the change after tumbling is calculated based on the temperature difference before tumbling, allowing the tumbling exposure response coefficient to reflect the relative change caused by the tumbling action. Since the absolute values ​​of the inlet and outlet air temperature differences may vary significantly under different loads and clothing types, using a relative change effectively eliminates the influence of these differences on the judgment results, thus providing better adaptability to different operating conditions. When there is a significant amount of residual moisture inside the clothing, the newly exposed wet layer after tumbling will significantly increase the relative change in temperature difference, and the coefficient will rise accordingly; when the clothing is basically dry, the temperature difference before and after tumbling is not significant, and the coefficient remains at a low level. Therefore, the tumbling exposure response coefficient can effectively identify uneven clothing conditions such as dry outside and wet inside.

[0088] S203: Determine the agglomeration resistance coefficient based on the motor current and drum speed during the tumbling disturbance process.

[0089] In this embodiment, the clumping resistance coefficient is used to characterize whether the clothes are clumped, rolled, or piled up in thick areas within the drum. When the clothes are evenly distributed within the drum, the driving force required for the drum to reverse and start is small, the peak motor current is low, and the speed can reach the target stable value more quickly. When the clothes are clumped, rolled, or piled up in thick areas, the shift in the center of gravity or local accumulation of the clothes leads to an increase in rotational inertia. When the drum reverses and starts, it needs to overcome greater resistance, so the peak motor current will increase significantly, and the time to reach a stable speed will also be longer. Therefore, by analyzing the changes in the peak motor current and the stable speed time during the tumbling disturbance, it is possible to infer whether the clothes are clumped or resisted.

[0090] In one implementation, the step of determining the agglomeration resistance coefficient based on the motor current and drum speed during the tumbling disturbance process may specifically include: determining a first deviation of the peak value of the motor current relative to the reference current, and determining a second deviation of the target time for the drum speed to reach a stable state from the reference stable time, and weighted summing the first deviation and the second deviation to obtain the agglomeration resistance coefficient; wherein the reference current is the average value of the motor current during the reference sampling period.

[0091] Specifically, within a standard detection window, the controller calculates the average value of the motor current within the reference sampling segment, which serves as the reference current. Subsequently, during the reversing action in the disturbance sampling section, the controller records the peak motor current at the instant of reversing start. It also records the time taken from the reverse start to the drum speed reaching a stable state. (That is, the speed stabilization time). At the same time, the controller has a pre-stored reference stabilization time. The reference stabilization time can be calibrated under standard working conditions where the clothing is evenly distributed, or it can be preset according to the characteristics of the machine model.

[0092] In this embodiment, the first deviation value can be expressed as the ratio of the peak motor current to the reference current, i.e. / This ratio reflects the degree of deviation of the peak current during reverse start-up from the normal operating current. The second deviation can be expressed as the ratio of the speed stabilization time to the reference stabilization time, i.e. / This ratio reflects the degree of deviation between the actual speed stabilization time and the stabilization time under standard operating conditions. Then, by weighted summing the first and second deviation values, the agglomeration resistance coefficient can be obtained.

[0093] Specifically, the aggregation inhibition coefficient can be calculated using the following formula: (3); in, Indicates the aggregation inhibition coefficient; As the first weighting coefficient, This is the second weighting coefficient. and The sum can equal 1; Indicates the peak value of the motor current; Indicates the reference current; Indicates the time it takes for the rotational speed to stabilize; Indicates the reference settling time; The second parameter can be a very small positive number (e.g., 0.01A) to prevent the denominator from being zero.

[0094] In this embodiment, and The specific values ​​can be obtained through experimental calibration. For example, for some models, the peak motor current is highly sensitive to the aggregation state, so... The setting is set relatively large; for other models, the rotational speed stabilization time better reflects the aggregation state, so it can be set to... The setting is too large.

[0095] In this embodiment, the clumping resistance coefficient integrates information from two dimensions: peak current deviation and speed stabilization time deviation. It combines these two physical quantities with different dimensions into a unified index through weighted summation. The peak motor current quickly reflects the resistance at the moment of reverse start-up but is sensitive to short-term noise; the speed stabilization time reflects the complete process from start-up to steady state, offering strong noise immunity but a slightly slower response. Combining the two allows for the leveraging of their strengths and compensating for their weaknesses, ensuring both rapid response and stable judgment. A larger clumping resistance coefficient indicates a greater load during reverse start-up and a slower speed establishment, meaning a higher probability of clumping, rolling, or thick-area resistance in the clothing.

[0096] S204: Determine the recovery rebound amount based on the outlet air temperature before the turbulence disturbance and the outlet air temperature of the recovery sampling section after the turbulence disturbance ends.

[0097] In this embodiment, the recovery rebound amount is a physical quantity used to characterize whether the internal thermal and moisture state of the clothing continues to affect the thermal response of the airflow after the tumbling disturbance ends. When the tumbling disturbance ends and the controller returns to normal drying parameters, if there is still a lot of moisture being released from the clothing, the outlet air temperature may not immediately drop back to the level before the disturbance, but will experience a slow drop process; if the clothing has been basically dried evenly, the outlet air temperature will quickly return to the state before the disturbance. Therefore, the magnitude of the recovery rebound amount can help determine whether there is still a continuous moisture release process inside the clothing.

[0098] In one implementation, the step of determining the recovery rebound amount based on the outlet air temperature before the turbulence disturbance and the outlet air temperature of the recovery sampling section after the turbulence disturbance ends may specifically include: determining the relative change between the average outlet air temperature of the recovery sampling section and the average outlet air temperature before the turbulence disturbance as the recovery rebound amount.

[0099] Specifically, within a standard detection window, after the turbulence sampling period ends, the controller enters a recovery sampling period, which restores the normal drying parameters and continues sampling for a preset time (e.g., 8 to 12 seconds). During the recovery sampling period, the controller calculates the average outlet air temperature for that time period. Simultaneously, the average outlet air temperature before the turbulence was obtained. Then, by calculating the relative change in the average outlet air temperature of the recovered sampling section relative to the average outlet air temperature before the turbulence disturbance, the recovery rebound amount can be obtained.

[0100] Specifically, the amount of rebound can be calculated using the following formula: (4); in, Indicates the amount of rebound after recovery; This indicates the average outlet air temperature within the restored sampling section; This represents the average outlet air temperature within the baseline sampling section before the turbulence disturbance; The third parameter can be a very small positive number (e.g., 0.01A) to prevent the denominator from being zero.

[0101] In this embodiment, the recovery rebound amount accurately reflects the continuous release capacity of moisture inside the clothing. If there is still a lot of moisture inside the clothing, even if the external heating conditions and airflow have returned to normal, the internal moisture will continue to evaporate and absorb heat, preventing the outlet air temperature from rising back to the pre-disturbance level for a period of time, resulting in a large recovery rebound amount. If the clothing is basically dry, there is no continuous release of moisture to absorb heat, and the outlet air temperature will rise faster, resulting in a smaller recovery rebound amount. Therefore, the recovery rebound amount can serve as an effective auxiliary basis for judging the near-complete state. When the thermal response coefficient shows that the surface is dry and the folding exposure response coefficient shows no obvious new wet layer exposure, a large recovery rebound amount indicates that there is still a slow and continuous moisture release process inside the clothing, and it is not yet completely dry; a small recovery rebound amount indicates that the inside of the clothing is basically dry.

[0102] In one feasible implementation, refer to Figure 3 The diagram illustrates the timing of the detection window. The detection window consists of four consecutive sampling segments: a reference sampling segment, a thermal disturbance sampling segment, a tumble disturbance sampling segment, and a recovery sampling segment. The specific execution process of each of the four sampling segments is explained in detail below.

[0103] (a) Reference sampling segment.

[0104] Within the reference sampling period, the controller maintains the current control variables unchanged, i.e., keeps the current heating power, fan speed, and drum rotation cycle constant. The controller continuously acquires operating signals at a preset sampling period (e.g., 0.5 seconds to 1 second), and the duration of the reference sampling period is preferably 5 seconds to 15 seconds.

[0105] Within the baseline sampling range, the controller collects the following data: inlet air temperature T in Air outlet temperature T out Motor current I m and heating power P h After data acquisition, the controller calculates the average value of each signal as a baseline value, specifically including: the average baseline outlet air temperature. Average reference inlet air temperature Average inlet and outlet air temperature difference = The purpose of the baseline sampling segment is to obtain baseline data of the system's steady state before the disturbance, providing a reference benchmark for subsequent calculations of the response changes caused by the disturbance.

[0106] (ii) Thermal disturbance sampling section.

[0107] The thermal disturbance sampling segment can be executed immediately following the reference sampling segment. Within the thermal disturbance sampling segment, the controller applies a step disturbance to the heating power, that is, increases the heating power from the current value by a preset amount: ;in, The disturbance amplitude is preferably 10% to 20%. The disturbance duration is preferably 10 to 15 seconds.

[0108] During the thermal disturbance sampling period, the controller continuously collects the outlet air temperature T. out And calculate the average outlet air temperature during that period. .

[0109] After the thermal disturbance sampling period ends, the controller calculates the thermal response coefficient according to formula (1). Thermal response coefficient This ratio reflects the sensitivity of the clothing surface to fluctuations in heating power. A higher ratio indicates a drier surface, while a lower ratio indicates a more moist overall surface.

[0110] (iii) Sampling section with scattered disturbance.

[0111] The tumbling disturbance sampling segment can be executed immediately following the thermal disturbance sampling segment. After the thermal disturbance ends, the controller enters the tumbling disturbance sampling segment and executes the standard tumbling action. The tumbling action preferably includes: a pause of 2 to 3 seconds, a low-speed reverse rotation of 6 to 8 seconds, and another pause of 2 seconds. The duration of the tumbling disturbance sampling segment is preferably 10 to 15 seconds.

[0112] During the tumble disturbance sampling period, the controller collects the following data: peak motor current at the instant of reverse start-up. The time it takes for the drum speed to reach a stable state after reversal. Stable rotation speed means that the drum rotation speed reaches the target speed and remains within ±5% of the target speed; the average temperature difference between the inlet and outlet air after tumbling and disturbance. The controller calculates the average value of the temperature difference between the inlet and outlet air within a preset time period after the tumbling action is completed.

[0113] After the tumble disturbance sampling period ends, the controller calculates the tumble exposure response coefficient according to formula (2). And the aggregation inhibition coefficient is calculated according to formula (3). Among them, the scattering exposure response coefficient This reflects whether the agitation process exposed a new wet layer. A larger value indicates that more new wet layer was exposed after agitation. Aggregation resistance coefficient. This indicates whether the clothing is clumped, rolled up, or has thick areas that obstruct movement. The higher the value, the more severe the clumping or obstruction.

[0114] (iv) Restore the sampling section.

[0115] The recovery sampling segment can be executed immediately after the tumbling disturbance sampling segment. After the tumbling disturbance ends, the controller restores the normal drying parameters (i.e., restores the control values ​​before the reference sampling segment) and continues sampling for a preset time. The duration of the recovery sampling segment is preferably 8 to 12 seconds.

[0116] Within the recovery sampling section, the controller collects the outlet air temperature T. out And calculate the average outlet air temperature during that period. Simultaneously, the average outlet air temperature within the baseline sampling section before the turbulence disturbance was obtained. (Right now ).

[0117] After the recovery sampling segment ends, the controller can calculate the recovery rebound amount according to formula (4). The recovery rebound value Rb reflects the recovery of the system's thermal state after the disturbance ends. The larger the value, the weaker the continuous moisture release process inside the clothing, indicating that it is close to being completely dry.

[0118] After all four sampling segments have been executed, the controller, based on the calculated... , , and The system uses features and parameters, combined with preset thresholds, to determine the current dryness of the clothing and calls the corresponding control strategy based on the recognition results.

[0119] By employing the technical solution of this application embodiment, and sequentially performing four stages—reference sampling, thermal disturbance sampling, tumbling disturbance sampling, and recovery sampling—within a standard detection window, multi-dimensional response information of clothing under thermal disturbance and tumbling disturbance can be systematically acquired. Based on this, four characteristic parameters—thermal response coefficient, tumbling exposure response coefficient, agglomeration resistance coefficient, and recovery rebound amount—can be calculated. These four characteristic parameters characterize the layered drying state of clothing from four different perspectives: surface thermal inertia, inner layer exposure degree, agglomeration resistance state, and recovery characteristics, providing a complete data foundation for subsequent accurate identification and targeted control.

[0120] S205: Determine the current dryness status of clothing based on the thermal response coefficient and / or the tumbling exposure response coefficient and / or the agglomeration retardation coefficient and / or the recovery rebound.

[0121] In this embodiment, by extracting feature parameters from four different dimensions, it is possible to characterize the layered drying state of clothing from multiple angles. Among them, the thermal response coefficient reflects the surface thermal inertia, the folding exposure response coefficient reflects the degree of exposure of the new wet layer after folding, the agglomeration resistance coefficient reflects whether there is agglomeration resistance in the clothing, and the recovery rebound reflects the continuous moisture release inside the clothing.

[0122] In this embodiment, after determining the thermal response coefficient, tumbling exposure response coefficient, agglomeration resistance coefficient, and recovery rebound, the controller comprehensively analyzes the above characteristic parameters to determine the current drying state of the garment. In practice, the controller can compare the calculated characteristic parameters with preset thresholds and determine the current drying state of the garment based on the comparison results. These thresholds can be pre-calibrated experimentally, and different program types (such as cotton / linen programs, synthetic fiber programs, and heat-sensitive garment programs) can use different thresholds to adapt to different fabric characteristics and drying requirements.

[0123] By employing the technical solution of this application embodiment, multi-dimensional characteristic parameters such as thermal response coefficient, tumbling exposure response coefficient, agglomeration resistance coefficient, and recovery rebound amount are extracted from the operational response information. This fully utilizes existing sensor signals from the washing machine, transforming the internal heat and moisture distribution of clothing, which cannot be directly observed, into a physical quantity that can be quantitatively analyzed, thereby achieving accurate identification of various drying states. In this way, the ability to accurately identify uneven drying states of clothing during the drying process can be effectively improved, reducing over-drying, damage to clothes, and energy waste caused by blindly extending drying time, while simultaneously improving the uniformity of the final drying effect and the user experience.

[0124] In one feasible implementation, the step of determining the current dryness state of clothing based on the thermal response coefficient and / or the folding exposure response coefficient and / or the agglomeration retardation coefficient and / or the recovery rebound amount may specifically include: when the thermal response coefficient is less than a first threshold, the folding exposure response coefficient is less than a second threshold, and the agglomeration retardation coefficient is less than a third threshold, the dryness state is determined to be an overall uniformly damp state; when the thermal response coefficient is greater than or equal to the first threshold, the folding exposure response coefficient is greater than or equal to the second threshold, and the agglomeration retardation coefficient is less than a fourth threshold, the dryness state is determined to be an externally dry and internally damp state; when the folding exposure response coefficient is greater than or equal to the fifth threshold and the agglomeration retardation coefficient is greater than or equal to the fourth threshold, the dryness state is determined to be a locally agglomerated and stagnant state; when the thermal response coefficient is greater than or equal to the sixth threshold, the folding exposure response coefficient is less than the seventh threshold, the agglomeration retardation coefficient is less than the eighth threshold, and the recovery rebound amount is greater than the ninth threshold, the dryness state is determined to be an overall uniformly dry state.

[0125] In this embodiment, the drying state of clothing can be specifically divided into the following four types: overall uniformly damp state, externally dry and internally damp state, locally clumped and stagnant state, and overall uniformly dry state.

[0126] In this embodiment, a uniformly moist state refers to a state where the overall moisture content of the clothing is relatively high, the difference in moisture content between the surface and inner layers is not significant, and the clothing does not exhibit obvious clumping or stagnation within the drum. Under this state, the heat and moisture exchange of the clothing is primarily through overall evaporation, and the drying process in each area is basically synchronized.

[0127] In this embodiment, the controller determines the current dry state of the clothing to be a uniformly slightly damp state when the following conditions are met: ;in, The first threshold for the thermal response coefficient, The second threshold for the scattering exposure response coefficient, This is the third threshold for the aggregation inhibition coefficient. All the above thresholds are values ​​obtained in advance through experimental calibration. Different threshold sets can be used for different program types (such as cotton and linen programs, chemical fiber programs, heat-sensitive clothing programs, etc.).

[0128] In this embodiment, The small increase in outlet air temperature under a step disturbance in heating power indicates that a large proportion of the applied heat is absorbed by the evaporation of moisture from the clothing, rather than being used to heat the air. This suggests that the surface of the clothing is not yet significantly dry and still contains a considerable amount of moisture.

[0129] In this embodiment, The result indicates that the temperature difference between the inlet and outlet air was relatively small after the tumbling and disturbance, and the heat and moisture exchange state did not change significantly before and after tumbling. This suggests that the tumbling action did not expose a significant new wet layer, and the difference in dryness between the inside and surface of the clothing was not significant.

[0130] In this embodiment, The fact that the peak motor current and the time it takes for the speed to stabilize during the tumbling and disturbance process are normal indicates that the reverse start-up load is normal and the speed build-up is smooth. This suggests that the clothes are evenly distributed inside the drum, without obvious clumping, rolling, or thick area accumulation.

[0131] In this embodiment, when the above three conditions are met simultaneously, it indicates that the clothing is still in a stage with a high moisture content, the surface is not yet dry, there is no obvious residual moisture layer inside, and the distribution is uniform. Therefore, it is determined to be in a state of uniform moisture content.

[0132] In this embodiment, the "dry outside, wet inside" state refers to a condition where the surface layer of clothing has a low moisture content, but the inside of the clothing still contains a significant amount of moisture, resulting in a significant difference in moisture content between the surface and the inner layer. In this state, the overall average signal obtained by the temperature or humidity sensor may be close to the drying completion threshold, but there may still be localized residual moisture inside the clothing.

[0133] In this embodiment, the controller determines the current drying state of the clothing to be dry on the outside and damp on the inside when the following conditions are met: ;in, This is the fourth threshold for the aggregation inhibition coefficient. Can be with They can be the same or different, depending on the actual calibration results.

[0134] In this embodiment, The fact that the outlet air temperature rises significantly under a step disturbance in heating power indicates that a large proportion of the applied heat is used to heat the air rather than evaporate moisture. This suggests that the surface of the clothing is already dry and the rate of moisture evaporation has decreased significantly.

[0135] In this embodiment, The reading indicates that after the tumbling and disturbance, the temperature difference between the inlet and outlet air changed significantly, and the heat and moisture exchange state changed markedly before and after tumbling. This suggests that the tumbling action exposed a new wet layer, meaning that there was still moisture inside the clothing that had not been fully dried. Before tumbling, this moisture was covered by the already dried surface of the clothing and did not come into full contact with the hot air.

[0136] In this embodiment, This indicates that the peak value of the motor current and the stabilization time of the speed did not show any serious abnormalities during the tumbling and disturbance process, and that the clothing did not show obvious clumping or thick accumulation.

[0137] In this embodiment, when the above three conditions are met simultaneously, it indicates that the surface is dry but the interior is still wet, and there is no obvious agglomeration or obstruction. The main problem is the difference in drying between layers, so it is determined to be a state of dry outside and wet inside.

[0138] In this embodiment, the localized clumping and stagnant state refers to a condition where clothing, due to clumping, rolling, or piling, prevents certain areas from being fully exposed to the hot air path, leaving these areas with a significant amount of residual moisture. In this state, the surface of the clothing may be relatively dry, but the clumping and stagnation prevent the hot air from reaching the stagnant areas, making it difficult for the residual moisture inside to escape.

[0139] In this embodiment, the controller determines that the current drying state of the clothing is a locally clumped and stagnant state when the following conditions are met: ;in, This is the fifth threshold for the scattering exposure response coefficient.

[0140] In this embodiment, The reading indicates that the temperature difference between the inlet and outlet air was very significant after the tumbling and disturbance process, and the tumbling action exposed a large amount of new wet layers. This suggests that there were many residual wet areas inside the garments, which were not effectively dried before tumbling because they were wrapped or covered. The value can be greater than That is, the dispersal and exposure response is more intense under the localized agglomeration and stagnant state.

[0141] In this embodiment, This indicates a significant increase in the peak motor current and a significantly prolonged time to stabilize the speed during the tumbling and disturbance process, as well as a large load and slow speed establishment during reverse start-up. This suggests that the clothing is severely clumped, rolled, or has thick areas of accumulation, indicating an abnormal distribution of the clothing within the drum.

[0142] In this embodiment, when both of the above conditions are met simultaneously, it indicates that the exposed wet layer after the tumbling is obvious, and the resistance to starting the reversal is large and the speed is slow to build up. This corresponds to local clumping, thick area shading, or roll-up and stagnation of drying, and is therefore judged to be a local clumping and stagnation of drying state.

[0143] In this embodiment, the overall uniformly dry state refers to a state in which the overall moisture content of the clothing meets the preset drying requirements, there is no obvious residual moisture on the surface and inside, and there is no clumping or obstruction.

[0144] In this embodiment, the controller determines that the current drying state of the clothing is a uniformly dry state when the following conditions are met: ;in, The seventh threshold for the scattering exposure response coefficient, This is the eighth threshold for the aggregation inhibition coefficient. The ninth threshold for restoring rebound.

[0145] In this embodiment, The fact that the temperature difference between the inlet and outlet air was very small after the tumbling and disturbance was performed indicates that the heat and moisture exchange state remained almost unchanged before and after tumbling. This suggests that the tumbling action did not expose any new wet layer, and there were no obvious residual wet areas inside the clothing. The value can be less than This represents a lower threshold for responding to spill exposure.

[0146] In this embodiment, This indicates that the peak current and speed stabilization time of the motor are normal during the tumbling and disturbance process, and the clothes are evenly distributed in the drum without clumping or thick areas of accumulation. The value can be related to Same or different usually represent a lower threshold for reunification.

[0147] In this embodiment, The change in air temperature during the recovery sampling phase indicates a significant shift from the initial temperature before the clothes were tumbled. When the clothes are nearly dry, after the thermal and tumbling disturbances cease, the system returns to normal parameters, and the air temperature exhibits a noticeable rebound. The magnitude of this rebound is related to the continued release of residual moisture from the clothes. When the clothes are almost completely dry, the continued release of residual moisture is minimal, resulting in a larger temperature rebound after the disturbance stops. Therefore, a larger rebound actually indicates that the clothes are nearing completion of drying.

[0148] In this embodiment, when all four conditions are met simultaneously, it indicates that the surface layer is significantly dry, no obvious new wet layer is exposed after turning it over, there is no clumping or obstruction, and the air outlet temperature rises significantly during the recovery process, and the clothing is almost completely dry. Therefore, it is judged to be in a state of overall uniform drying.

[0149] It should be noted that the first to ninth thresholds mentioned above are all pre-calibrated values. These thresholds can be calibrated as follows: Under standard laboratory conditions, multiple sets of drying experiments are conducted using garments of different types, loads, and moisture contents. The changes in each characteristic parameter as the drying process progress are recorded, and the boundary points between each state are determined by combining the results of manual dryness assessment (such as weighing to measure residual moisture content). Different threshold sets can be used for different program types (such as cotton and linen programs, synthetic fiber programs, heat-sensitive garment programs, etc.) to adapt to different fabric characteristics and drying requirements.

[0150] In this embodiment, when the drying state is detected to be none of the following states: overall uniform dampness, external dryness and internal dampness, local agglomeration and stagnant dryness, and overall uniform dryness, the washing machine can be controlled to perform the drying operation according to the default drying program.

[0151] In this embodiment, by comparing the thermal response coefficient with a first threshold, comparing the tumbling exposure response coefficient with a second, fifth, and seventh threshold respectively, comparing the agglomeration resistance coefficient with a third, fourth, and eighth threshold respectively, and comparing the recovery rebound with a ninth threshold, the garment state can be clearly divided into four types: "overall uniformly damp", "outer dry and inner damp", "locally agglomerated and stagnant dry", and "overall uniformly dry". This allows the controller to accurately determine the layered drying state of the garment based on existing measurable signals without relying on additional humidity sensors or infrared imaging equipment. This provides a reliable basis for subsequent state-specific control, thereby improving the accuracy and adaptability of the drying process and reducing over-drying and energy waste.

[0152] In one feasible implementation, the step of determining the target control strategy based on the drying state may specifically include: when the drying state is determined to be an overall uniformly moist state, the target control strategy is determined to be a first drying strategy; when the drying state is determined to be an externally dry and internally moist state, the target control strategy is determined to be a second drying strategy; the second drying strategy includes: reducing the heating power, increasing the fan speed, and shortening the pause time in the tumbling cycle; when the drying state is determined to be a locally agglomerated and stagnant state, the target control strategy is determined to be a third drying strategy; the third drying strategy includes: pausing or reducing the heating power and performing at least two rounds of tumbling action; when the drying state is determined to be an overall uniformly dry state, the target control strategy is determined to be a fourth drying strategy; the fourth drying strategy includes: reducing the heating power and slowing down the tumbling cycle.

[0153] In this embodiment, when the drying state is determined to be a uniformly humid state, the controller determines the target control strategy as the first drying strategy. The first drying strategy includes: maintaining the current heating power, fan speed, and rotation cycle.

[0154] Specifically, under a generally uniformly humid state, the overall moisture content of the clothing is high, requiring efficient removal of a large amount of water. At this time, the evaporation rate of the clothing is fast, and the heat input can be effectively used for the phase change evaporation of water, resulting in high heat exchange efficiency. Therefore, there is no need to reduce the heating power or airflow. Thus, the controller maintains the current heating power (e.g., 70% to 100% of the rated power), fan speed (e.g., 70% to 100% of the rated speed), and tumbling cycle (e.g., alternating cycles of 12 seconds forward, 4 seconds pause, 12 seconds reverse, and 4 seconds pause) to maintain a high drying rate and quickly remove free water and shallow moisture from the clothing.

[0155] In this embodiment, when the drying state is determined to be externally dry and internally moist, the controller determines the target control strategy as the second drying strategy. The second drying strategy includes: reducing the heating power, increasing the fan speed, and shortening the pause time in the tumbling cycle.

[0156] Specifically, in a state where the outside is dry and the inside is wet, the outer layer of the garment is dry, but the inner layer remains damp. Maintaining high heating power at this point, because the surface is dry, makes it difficult for heat to effectively transfer to the wet inner layer, causing the surface temperature to continue to rise, increasing the risk of over-drying and fabric damage. Therefore, the controller performs the following adjustments: First, it reduces the heating power. For example, it reduces the heating power by 5% to 15% from the current value, or reduces it to a certain percentage of the rated power. The purpose of reducing the heating power is to suppress the continued rapid temperature rise of the surface, avoiding overheating, and simultaneously matching the heat input with the slow release rate of moisture from the inner layer, allowing sufficient time for the moisture to migrate and evaporate. Second, it increases the fan speed. For example, it increases the fan speed by 5% to 20% from the current value, or increases it to a certain percentage of the rated speed. The purpose of increasing the airflow is to enhance the convective heat transfer intensity between the hot air and the garment, accelerating the removal of moisture released from the inner layer by the airflow, preventing moisture from recondensing on the garment surface, and promoting the migration of internal moisture outwards. Third, it shortens the pause time in the tumbling cycle. For example, the tumbling rhythm can be adjusted from 12 seconds forward, 4 seconds pause, 12 seconds reverse, 4 seconds pause to 8 seconds forward, 2 seconds pause, 8 seconds reverse, 2 seconds pause. Shortening the pause time increases the frequency of garment tumbling, allowing the inner wet garments to be exposed to the hot air path more frequently, thus increasing the contact opportunities between the inner garments and the hot air. Additionally, in one implementation, a low-speed tumbling motion (e.g., 5 seconds of low-speed tumbling) can be inserted every three regular tumbling cycles to further enhance the exposure of the inner layers.

[0157] In this embodiment, when the drying state is determined to be a state of localized agglomeration and stagnant drying, the controller determines the target control strategy as the third drying strategy. The third drying strategy includes: pausing or reducing the heating power and performing at least two rounds of tumbling actions.

[0158] Specifically, in a localized clumping and stagnant state, clothes clump together, roll up, or accumulate in thick areas, preventing hot air from reaching the stagnant areas. If heating continues in this state, the wet clothes inside the clumped areas will still not be effectively dried, while the exposed areas may already be relatively dry; continued heating will only exacerbate the unevenness. Therefore, the controller prioritizes addressing the distribution problem rather than continuing heating. Specifically, it performs the following operations: First, pause or reduce the heating power. For example, pause heating for 15 to 25 seconds, or reduce the heating power to a lower level of the rated value (e.g., 30% to 50%). The purpose of pausing or reducing heating is to avoid continuing heating when the clothes are abnormally distributed, preventing over-drying of exposed areas, and creating conditions for tumbling. Performing tumbling at a lower temperature is safer and reduces heat waste. Second, perform at least two rounds of tumbling. Tumbling refers to changing the distribution of clothes within the drum through a specific drum motion pattern. Its purpose is to break up clumped or rolled-up clothes, exposing wet clothes that were originally in the inner layers or hidden. Each round of tumbling can include a combination of actions such as forward rotation, pause, reverse rotation, pause, and low-speed tumbling. For example, one round of tumbling could be: forward rotation for 6 seconds, pause for 2 seconds, reverse rotation for 6 seconds, pause for 2 seconds, and low-speed tumbling for 5 seconds. The controller can execute 3 to 5 rounds of such tumbling actions continuously to effectively break up clumped clothes. Third, after the tumbling action is completed, the controller can re-enter the detection window to reacquire operational response information and determine the state of the clothes to verify whether the tumbling and redistribution is effective. If, after re-identification, the clothes are found to have changed from a locally clumped and sluggish state to another state (such as overall uniform dampness or dry on the outside and damp on the inside), the corresponding strategy is switched to continue drying; if they are still in a locally clumped and sluggish state, the tumbling and redistribution strategy can be executed again until the clumping state is effectively improved or the preset maximum number of tumbling times is reached.

[0159] In this embodiment, when the drying state is determined to be a uniformly dry state, the controller determines the target control strategy as the fourth drying strategy. The fourth drying strategy includes: reducing the heating power and slowing down the tumbling cycle.

[0160] Specifically, once the garment is in a uniformly dry state, it is essentially dry. Continuing to heat it at high power will lead to over-drying, causing problems such as fabric shrinkage, stiffness, and fiber damage. At this point, the controller should implement gentle finishing control, specifically including: First, reducing the heating power. For example, adjust the heating power to 30% to 50% of the rated value, or reduce it significantly from the current value. The purpose of reducing the heating power is to gently finish the drying process with low heat, removing only the very small amount of residual moisture from the garment, while avoiding excessive heat damage to the already dried fabric. Second, slowing down the tumbling rhythm. For example, adjust the tumbling rhythm to: 10 seconds clockwise, 5 seconds pause, 10 seconds counterclockwise, 5 seconds pause. The purpose of slowing down the tumbling rhythm is to reduce excessive mechanical action on the dried garment, allowing it to cool and set naturally with lower intensity movement, helping to reduce wrinkles and maintain the garment's feel and appearance.

[0161] By employing the technical solution of this application embodiment, precise control can be achieved under four different drying conditions by configuring targeted control strategies for each of the four different drying states. This improves drying uniformity while effectively reducing over-drying and energy waste, achieving synergistic optimization of drying effect, garment care, and energy consumption performance.

[0162] In one feasible implementation, the drying control method may further include: stopping heating when the drying state is determined to be uniformly dry state for N consecutive times, or when the total drying time reaches a preset upper limit; N is a positive integer greater than or equal to 2; reducing the heating power or stopping heating when the cumulative heat exposure exceeds a safety threshold, wherein the cumulative heat exposure is the cumulative value of the outlet air temperature exceeding the safety temperature threshold.

[0163] In this embodiment, the controller can repeatedly execute the detection window to continuously monitor the state of the clothes during the drying process. When multiple consecutive detection results indicate that the clothes have entered a state of uniform drying, the controller can determine that drying is basically complete and thus end the heating. In this embodiment, the specific value of N can be set according to actual needs. For example, N can be 2, 3, or 4. The smaller the value of N, the more sensitive the termination judgment, and the shorter the drying time may be; the larger the value of N, the more conservative the termination judgment, and the better it can avoid premature termination due to misjudgment, but the drying time may be correspondingly extended. Preferably, N can be 3 to achieve a better balance between sensitivity and reliability.

[0164] In one implementation, after heating ends, the controller does not immediately stop all operations but instead enters a cooling and finishing phase. During this phase, the controller can stop the heating module but keep the fan running for a preset time (e.g., 3 to 5 minutes), allowing the clothes inside the drum to cool naturally in a room-temperature airflow, while further removing any remaining traces of water vapor. This cooling and finishing phase helps lower the temperature of the clothes, preventing burns when removed by the user, and also helps reduce wrinkles and improve the feel of the garments.

[0165] In this embodiment, considering that in actual use, some abnormal situations may occur that prevent the clothes from achieving a uniformly dry state, such as excessive load exceeding the equipment's drying capacity, clothes containing a large amount of special fabrics that are difficult to dry, or sensor drift causing status recognition errors. In these cases, without a time limit, the drying process may last too long, not only wasting a lot of energy but also potentially causing heat damage to the clothes due to continuous heating. Therefore, this embodiment of the application sets up a maximum time protection mechanism. Specifically, when the total drying time reaches the upper limit allowed by the program, the controller enters the protection termination logic and stops heating. The total drying time refers to the accumulated running time from the start of the drying program, including all stages such as the normal drying time, the detection window time, and the execution time of each strategy.

[0166] In this embodiment, to prevent irreversible damage to clothing caused by excessively high temperatures or prolonged heat exposure, a heat exposure protection mechanism is provided. Specifically, a cumulative heat exposure value is defined as the cumulative value of the outlet air temperature exceeding a safe temperature threshold. When this cumulative value exceeds the safe threshold, the controller reduces the heating power or terminates heating.

[0167] Specifically, the cumulative amount of heat exposure can be calculated using the following formula: (5); in, The air outlet temperature at the current sampling time. The preset safe temperature threshold, The sampling period.

[0168] It should be noted that the meaning of formula (5) is: within each sampling period, calculate the part of the wind temperature that exceeds the safe temperature threshold (if it exceeds, take the difference; if it does not exceed, take 0), multiply it by the sampling period to obtain the heat exposure increment during that period, and then sum up the heat exposure increments of all sampling periods to obtain the total cumulative heat exposure.

[0169] In this embodiment, Different settings can be made based on fabric type and program type. For example, the safe temperature threshold for cotton and linen programs can be set higher (e.g., 70°C to 80°C) because cotton and linen fabrics have good heat resistance; while the safe temperature threshold for heat-sensitive clothing programs can be set lower (e.g., 55°C to 65°C) to protect heat-sensitive fabrics. In one embodiment, the safe temperature threshold can also be automatically adapted based on the clothing type sensor or the program type selected by the user.

[0170] In this embodiment, the cumulative amount of heat exposure Exceeding the preset security threshold If the heat exposure is too high, it indicates that the garment has already been subjected to excessive heat during the drying process, and continued high-temperature heating will significantly increase the risk of heat damage. At this point, the controller will perform one of the following protective actions: reduce the heating power (e.g., lower the heating power to 50% to 70% of the current value) to slow the temperature rise, or directly stop heating and proceed to the cooling and finishing stage. In one embodiment, when the cumulative heat exposure is close to but has not yet exceeded the safety threshold (e.g., reaching 80% of the safety threshold), the controller can first perform a warning power reduction; when the cumulative heat exposure has exceeded the safety threshold, the controller will directly stop heating to protect the garment to the greatest extent possible.

[0171] In this embodiment, in addition to the aforementioned termination conditions and protection mechanisms, the present application embodiment may also include abnormal state protection. When the controller detects an abnormal situation in the equipment, it immediately exits the adaptive control process of this application and switches to the whole-machine protection process. Specifically, abnormal situations include, but are not limited to, the following: fan abnormality (such as fan stoppage or abnormally low speed), temperature sampling abnormality (such as open circuit, short circuit, or reading significantly exceeding the reasonable range of the temperature sensor), motor stall (such as the drum failing to rotate or excessive rotational resistance), door abnormality (such as the door not closing properly or door lock malfunction), etc. When the above abnormal situations occur, continuing to execute the adaptive control process will not only fail to effectively dry clothes, but may also cause safety accidents or further damage to the equipment. Therefore, the controller immediately terminates the adaptive control and switches to the whole-machine protection process, such as stopping heating, stopping motor operation, and issuing alarm prompts, to ensure the safety of the equipment and the user.

[0172] By adopting the technical solution of this application embodiment, and setting an end condition that confirms the overall uniform drying state N times consecutively, misjudgments caused by fluctuations in a single detection can be avoided, improving the reliability and accuracy of the end determination. By setting a maximum time protection, a safety net is provided for the drying process, preventing indefinite operation under abnormal conditions. By setting a heat exposure protection mechanism, the heat effect on the clothing is comprehensively quantified from both temperature and time dimensions. When the risk of heat damage is too high, the power is actively reduced or heating is terminated, prioritizing the safety of the clothing fabric. The above-mentioned end conditions and multiple protection mechanisms work together and complement each other, ensuring that the drying process can end accurately and promptly under normal operating conditions, and also ensuring safe and reliable termination under abnormal operating conditions, thereby comprehensively improving the safety, reliability, and garment care performance of the drying control method.

[0173] In one feasible implementation, refer to Figure 4 The diagram illustrates the software module architecture of a washing machine. This architecture can include: an input layer, a data preprocessing module, a probe window scheduling module, an active disturbance control module, a feature extraction module, a state recognition module, a strategy decision-making module, and an execution output module. The software architecture also includes a control strategy library, providing preset combinations of control parameters for the strategy decision-making module. Specifically: (a) Input layer.

[0174] In this implementation, the input layer is the lowest layer of the software architecture, responsible for receiving raw sensor data and control parameters. The raw sensor data includes: inlet air temperature T. in Air outlet temperature T out Motor current I m Drum speed n d Fan wind speed n f and heating power P h The aforementioned sensor data is acquired through the washing machine's temperature sensor, current detection circuit, and spin speed detection unit at preset sampling intervals (e.g., 0.5 to 1 second). Control parameters include: program type (e.g., cotton / linen program, synthetic fiber program, heat-sensitive clothing program, etc.), target dryness, maximum drying time, safe temperature threshold, detection interval, and discrimination threshold. These control parameters are selected and set by the user when starting the drying program, or automatically adapted by the controller based on the load type.

[0175] The input layer outputs raw sensor data and control parameters to the data preprocessing module.

[0176] (ii) Data preprocessing module.

[0177] The data preprocessing module preprocesses the raw sensor data received by the input layer to filter out noise, eliminate outliers, and smooth signal waveforms, providing high-quality input data for subsequent feature extraction.

[0178] Specifically, the data preprocessing module performs the following operations: First, filtering. High-frequency noise in the raw sensor data is suppressed. Temperature signals are easily affected by electromagnetic interference and wind fluctuations, causing instantaneous jumps. Current signals contain commutation ripples and spike pulses; therefore, filtering is necessary.

[0179] Second, moving average. A moving average is applied to the filtered signal to further smooth it. For temperature signals, moving average filtering is preferred, with a window length of 3 to 5 sampling periods. Moving averages can effectively reduce random noise while maintaining the overall trend of the signal.

[0180] Third, anomaly removal. Abnormal data exceeding reasonable ranges is identified and removed. For example, when temperature readings significantly exceed the sensor's range or exhibit large jumps, they are identified as abnormal data and removed to prevent outliers from affecting subsequent calculations. For current signals, peak suppression plus sliding standard deviation calculation is preferred; that is, the standard deviation of current data within a sliding window is used to determine whether the current sampled value belongs to an abnormal peak, and if so, it is suppressed. For speed signals, boundary checks are preferred to eliminate abnormal jumps.

[0181] Fourth, interval caching. The preprocessed data is cached in memory in chronological order, forming a sliding window data queue for subsequent use by the detection window scheduling module and feature extraction module.

[0182] Fifth, normalization transformation. Normalize some signals to give them uniform dimensions and comparability, which facilitates subsequent threshold judgment and feature fusion.

[0183] (III) Detection window scheduling module.

[0184] The probe window scheduling module is responsible for determining when to execute a standard probe window and allocating the sampling segments within the probe window.

[0185] Specifically, the detection window scheduling module monitors the drying operation status in real time. When any of the following conditions are met, the detection window is triggered: (1) the drying operation reaches the preset time point; (2) the time since the last detection exceeds the minimum interval (e.g., 4 to 8 seconds); (3) the outlet air temperature change rate enters the platform zone (i.e., the absolute value of the outlet air temperature change rate is less than the first change rate threshold and continues for a preset time); (4) the inlet and outlet air temperature difference stabilizes to a preset duration (i.e., the absolute value of the inlet and outlet air temperature difference change rate is less than the second change rate threshold and continues for a preset duration).

[0186] Once the triggering conditions are met, the probe window scheduling module divides the probe window into four consecutive sampling segments: a baseline sampling segment, a thermal disturbance sampling segment, a tumble disturbance sampling segment, and a recovery sampling segment. The specific time allocation for each sampling segment is determined by the probe window scheduling module based on the current program type and running status.

[0187] (iv) Active disturbance control module.

[0188] The active disturbance control module executes corresponding short-term disturbances within each sampling segment allocated by the detection window scheduling module. Specifically, within the thermal disturbance sampling segment, the active disturbance control module applies power disturbances to the heating power (increasing or decreasing by a preset amount); within the tumbling disturbance sampling segment, it applies tumbling disturbances to the drum tumbling rhythm (pausing, reversing, low-speed tumbling); and within the airflow disturbance sampling segment, it applies speed disturbances to the fan speed (increasing or decreasing by a preset amount). In a preferred embodiment of this application, a combination of thermal disturbances and tumbling disturbances is used.

[0189] The active disturbance control module restores the control quantity to the level before the disturbance after the disturbance ends, so that the system can exhibit recovery characteristics during the recovery sampling period.

[0190] (v) Feature extraction module.

[0191] After the probe window ends, the feature extraction module extracts multiple feature parameters from the cached data. These include: Inlet and outlet air temperature difference ΔT: This is the difference between the inlet air temperature and the outlet air temperature, reflecting the degree of heat loss of hot air before and after passing through clothing.

[0192] outlet air temperature change rate S out This refers to the derivative of the outlet air temperature with respect to time, which reflects how quickly the air temperature changes over time.

[0193] Thermal response coefficient It is calculated based on the changes in heating power and air outlet temperature before and after the power disturbance, reflecting the sensitivity of the clothing surface to thermal disturbance.

[0194] Dispersion Exposure Response Coefficient The value is calculated based on the change in the temperature difference between the inlet and outlet air before and after the turbulence disturbance, reflecting whether the turbulence action exposes a new wet layer.

[0195] Aggregation resistance coefficient The value is calculated based on the peak motor current and the stabilization time of the drum speed during the tumbling and disturbance process, reflecting whether the clothes are clumped, rolled up, or blocked by thick areas.

[0196] Recovering rebound amount The value is calculated based on the outlet air temperature before the disturbance and the outlet air temperature of the recovered sampling section, reflecting the recovery of the system's thermal state after the disturbance ends.

[0197] For details on the calculation of the above-mentioned feature parameters, please refer to the relevant description of the standard detection window in the foregoing embodiments.

[0198] (vi) Status recognition module.

[0199] The status recognition module determines the current dryness status of the clothing based on the feature parameters output by the feature extraction module and a preset threshold rule.

[0200] In this application embodiment, the drying state includes the following four types: A uniformly damp state refers to a state in which the overall moisture content of the clothing is relatively high, the difference in moisture content between the surface and inner layers is not obvious, and the clothing does not show obvious clumping or obstruction in the drum.

[0201] The state of "dry outside and wet inside" refers to a state in which the surface of clothing has a low moisture content, but the inside of clothing still contains a lot of moisture, and there is a significant difference in moisture content between the surface and the inner layer.

[0202] Localized clumping and stagnant drying refers to a condition where clothing, due to clumping, rolling, or piling up, prevents certain areas from being fully exposed to the hot air path, leaving those areas with a significant amount of residual moisture.

[0203] A uniformly dry state refers to a state in which the overall moisture content of the clothing meets the preset drying requirements, with no obvious residual moisture on the surface or inside, and no clumping or obstruction.

[0204] (vii) Strategy Decision Module.

[0205] Based on the status results output by the status recognition module, the strategy decision module calls the corresponding preset control strategy from the control strategy library and outputs the new target control quantity.

[0206] The control strategy library contains four pre-stored strategies: conventional high-efficiency drying strategy (corresponding to a uniformly moist state), balanced drying strategy (corresponding to a dry exterior and moist interior state), tumbling and redistribution strategy (corresponding to a locally agglomerated and stagnant state), and low-heat finishing strategy (corresponding to a uniformly dry state). Each strategy includes a set of preset control parameters: heating power P. h Fan speed n f and the drum rotation rhythm S d The specific value to be taken.

[0207] The strategy decision module matches the identified state with the strategy in the strategy library, reads the corresponding control parameter group, and outputs it to the execution output module.

[0208] (viii) Execute the output module.

[0209] The execution output module converts the target control quantity output by the strategy decision module into executable drive commands.

[0210] Specifically, the output module outputs heating power P h Fan speed n f and the drum rotation rhythm S d Among them, the set of flipped beats S d Specific parameters include forward rotation time, pause time, reverse rotation time, and tumbling action time.

[0211] The aforementioned drive commands are sent to the corresponding execution components of the washing machine. The heating module receives the heating power command, the fan module receives the fan speed command, and the drive motor receives the tumbling cycle command, thereby realizing closed-loop control of the drying process.

[0212] It should be noted that the data flow and control flow relationships between the above modules are as follows: The input layer collects raw data and transmits it to the data preprocessing module; the preprocessed data flows simultaneously to the probe window scheduling module and the feature extraction module; the probe window scheduling module determines the triggering timing and allocates sampling segments; the active disturbance control module executes disturbances in the corresponding sampling segments; the feature extraction module extracts feature parameters from the cached data after the probe window ends; the state recognition module determines the drying state based on the feature parameters; the strategy decision module calls the corresponding strategy from the control strategy library based on the state result and outputs the target control quantity; the execution output module converts the target control quantity into a drive command and sends it to the execution unit.

[0213] The embodiments of this application, through the above-described software module architecture, realize a complete closed-loop control process from data acquisition, detection scheduling, disturbance control, feature extraction, state recognition to strategy execution. The division of labor among the modules is clear, and data transmission is clear, which has good engineering feasibility and scalability.

[0214] To facilitate better implementation of the drying control method of this application, this application also provides a drying control device based on the above-described drying control method. The meanings of the terms used are the same as in the drying control method described above, and specific implementation details can be found in the descriptions of the method embodiments.

[0215] Based on the same inventive concept, and referring to Figure 5 This application provides a drying control device 500, which includes: The disturbance application module 501 is used to apply a target disturbance to the operating parameters of the washing machine during the drying process; The state determination module 502 is used to acquire the operating response information of the washing machine under the target disturbance, and determine the current drying state of the clothes based on the operating response information; The strategy determination module 503 is used to determine the target control strategy based on the drying state; The drying control module 504 is used to control the washing machine to perform drying operations based on a target control strategy.

[0216] In one embodiment, the disturbance application module 501 includes: The disturbance application submodule is used to trigger the disturbance sampling segment when the target conditions are met during the drying process, and to perform the target disturbance on the operating parameters of the washing machine within the disturbance sampling segment; wherein, The target conditions include at least one of the following: the drying operation time reaches a first duration threshold; the interval between the last triggered disturbance sampling segment is greater than a second duration threshold; the absolute value of the rate of change of the outlet air temperature is less than the first rate of change threshold for a duration reaching a third duration threshold; the absolute value of the rate of change of the inlet and outlet air temperature difference is less than the second rate of change threshold for a duration reaching a fourth duration threshold; the inlet and outlet air temperature difference is the difference between the inlet air temperature and the outlet air temperature. The disturbance sampling section includes a thermal disturbance sampling section and / or an air volume disturbance sampling section and / or a tumbling disturbance sampling section; the target disturbance includes applying a power disturbance to the heating power in the thermal disturbance sampling section, and / or applying a speed disturbance to the fan speed in the air volume disturbance sampling section, and / or applying a tumbling disturbance to the drum tumbling rhythm in the tumbling disturbance sampling section.

[0217] In one embodiment, the operation response information includes at least one of heating power, inlet air temperature, outlet air temperature, motor current, and drum speed; the status determination module 502 includes: The first determination submodule is used to determine the thermal response coefficient based on the changes in heating power and outlet air temperature before and after the power disturbance. The second determination submodule is used to determine the tumble exposure response coefficient based on the change in the inlet and outlet air temperature difference before and after the tumble disturbance. The third determining submodule is used to determine the agglomeration resistance coefficient based on the motor current and drum speed during the tumbling disturbance process; The fourth determination submodule is used to determine the recovery rebound amount based on the outlet air temperature before the tumbling disturbance and the outlet air temperature of the recovery sampling section after the tumbling disturbance ends. The fifth determination submodule is used to determine the current dryness status of clothing based on the thermal response coefficient and / or the tumble exposure response coefficient and / or the agglomeration retardation coefficient and / or the recovery rebound amount.

[0218] In one embodiment, the first determining submodule is specifically used to determine the ratio of the change in heating power to the change in outlet air temperature as the thermal response coefficient. The second determining submodule is specifically used to determine the ratio of the change in the inlet and outlet air temperature difference before and after the scattering disturbance to the baseline value of the inlet and outlet air temperature difference before the scattering disturbance as the scattering exposure response coefficient; wherein, the baseline value of the inlet and outlet air temperature difference is the average value of the inlet and outlet air temperature difference during the baseline sampling period before the disturbance sampling segment. The third determination submodule is specifically used to determine the first deviation of the peak value of the motor current relative to the reference current, and to determine the second deviation between the target time for the drum speed to reach a stable state and the reference stable time. The first deviation and the second deviation are weighted and summed to obtain the agglomeration resistance coefficient. The reference current is the average value of the motor current during the reference sampling period. The fourth determination submodule is specifically used to determine the relative change between the average value of the outlet air temperature of the recovery sampling section and the average value of the outlet air temperature before the turbulence disturbance as the recovery rebound amount.

[0219] In one embodiment, the fifth determining submodule includes: The first determining unit is used to determine the drying state as an overall uniformly moist state when the thermal response coefficient is less than the first threshold, the scattering and exposure response coefficient is less than the second threshold, and the agglomeration and retardation coefficient is less than the third threshold. The second determining unit is used to determine the drying state as an externally dry and internally wet state when the thermal response coefficient is greater than or equal to the first threshold, the scattering exposure response coefficient is greater than or equal to the second threshold, and the agglomeration retardation coefficient is less than the fourth threshold. The third determining unit is used to determine the drying state as a localized agglomeration and stagnant state when the scattering exposure response coefficient is greater than or equal to the fifth threshold and the agglomeration retardation coefficient is greater than or equal to the fourth threshold. The fourth determining unit is used to determine the drying state as a uniformly dried state when the thermal response coefficient is greater than or equal to the sixth threshold, the scattering and exposure response coefficient is less than the seventh threshold, the agglomeration and retardation coefficient is less than the eighth threshold, and the recovery and rebound amount is greater than the ninth threshold.

[0220] In one embodiment, the strategy determination module 503 includes: The first strategy determination subunit is used to determine the target control strategy as the first drying strategy when the drying state is determined to be an overall uniformly humid state; the first drying strategy includes: maintaining the current heating power, fan speed and rotation cycle; The second strategy determination subunit is used to determine the target control strategy as the second drying strategy when the drying state is determined to be an externally dry and internally wet state. The second drying strategy includes: reducing the heating power, increasing the fan speed, and shortening the pause time in the tumbling cycle. The third strategy determination subunit is used to determine the target control strategy as the third drying strategy when the drying state is determined to be a local agglomeration and stagnant state; the third drying strategy includes: pausing or reducing the heating power and performing at least two rounds of tumbling action; The fourth strategy determination sub-unit is used to determine the target control strategy as the fourth drying strategy when the drying state is determined to be an overall uniform drying state; the fourth drying strategy includes: reducing the heating power and slowing down the tumbling cycle.

[0221] In one embodiment, the drying control device 500 further includes: The first heating control module is used to end heating when the drying state is determined to be uniformly dried N times in a row, or when the total drying time reaches a preset upper limit; N is a positive integer greater than or equal to 2. The second heating control module is used to reduce the heating power or stop heating when the cumulative heat exposure exceeds the safety threshold. The cumulative heat exposure is the cumulative value of the outlet air temperature exceeding the safety temperature threshold.

[0222] The technical solution adopted in this application embodiment can proactively apply targeted perturbations to the operating parameters of the washing machine at appropriate times without relying on additional dedicated sensors. This transforms the internal heat and moisture distribution of clothing, which is not directly observable, into a detectable external physical response, providing an accurate data foundation for subsequent layered drying state identification and targeted control. Thus, this application embodiment can effectively improve the accurate identification of uneven layered drying of clothing during the drying process, reduce over-drying, damage to clothes, and energy waste caused by blindly extending drying time, while improving the uniformity of the final drying effect and the user experience.

[0223] Specific limitations regarding the drying control device 500 can be found in the limitations of the drying control method described above, and will not be repeated here. Each module in the aforementioned drying control device 500 can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0224] In addition, this application also provides a washing machine, such as Figure 6 As shown, it illustrates the structural diagram of the washing machine involved in this application, specifically: The washing machine may include components such as a processor 601 with one or more processing cores and a memory 602 with one or more computer-readable storage media. Those skilled in the art will understand that... Figure 6 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 601 is the control center of the washing machine. It connects to various parts of the washing machine via various interfaces and lines. By running or executing software programs and / or modules stored in the memory 602, and by calling data stored in the memory 602, it performs various functions and processes data, thereby providing overall monitoring of the washing machine. Optionally, the processor 601 may include one or more processing cores; preferably, the processor 601 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 601.

[0225] The memory 602 can be used to store software programs and modules. The processor 601 executes various functional applications and data processing by running the software programs and modules stored in the memory 602. The memory 602 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 602 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 602 may also include a memory controller to provide the processor 601 with access to the memory 602.

[0226] In one feasible implementation, the washing machine also includes a power supply 603 that supplies power to the various components. Preferably, the power supply 603 can be logically connected to the processor 601 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 603 may also include one or more DC or AC power supplies, a recharging system, a power equipment debugging circuit, a power converter or inverter, a power status indicator, or any other components.

[0227] In one feasible implementation, the washing machine may further include an input unit 604, 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.

[0228] 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 601 in the washing machine loads the executable files corresponding to the processes of one or more application programs into the memory 602 according to the following instructions, and the processor 601 runs the application programs stored in the memory 602, thereby implementing the steps in any of the drying control methods provided in the embodiments of this application.

[0229] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the washing machine to which the present application is applied. A specific washing machine may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0230] In one feasible implementation, a washing machine is provided, including a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the methods described in any embodiment of this application.

[0231] In one feasible implementation, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the methods described in any embodiment of this application.

[0232] In one feasible implementation, a computer program product is also proposed, comprising a computer program or instructions that, when executed by a processor, implement the methods described in any embodiment of this application.

[0233] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0234] 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.

[0235] Therefore, this application provides a computer-readable storage medium storing a computer program that can be loaded by a processor to execute the steps of any of the drying control methods provided in this application.

[0236] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0237] The computer-readable storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0238] Since the instructions stored in the computer-readable storage medium can execute the steps of any of the drying control methods provided in this application, the beneficial effects that any of the drying control methods provided in this application can achieve can be realized, as detailed in the preceding embodiments, and will not be repeated here.

[0239] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0240] The foregoing has provided a detailed description of a drying control method, apparatus, washing machine, and computer-readable storage medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A drying control method, characterized in that, The method includes: Targeted perturbations are applied to the operating parameters of the washing machine during the drying process; The washing machine's operating response information under the target disturbance is obtained, and the current drying status of the clothes is determined based on the operating response information. Based on the aforementioned drying state, a target control strategy is determined; Based on the target control strategy, the washing machine is controlled to perform a drying operation.

2. The drying control method according to claim 1, characterized in that, Applying a target perturbation to the operating parameters of the washing machine during the drying process includes: When the target conditions are met during the drying process, a disturbance sampling segment is triggered, and within the disturbance sampling segment, the operating parameters of the washing machine are subjected to the target disturbance; wherein, The target conditions include at least one of the following: the drying operation time reaches a first duration threshold; the interval between the last triggering of the disturbance sampling segment is greater than a second duration threshold; the absolute value of the rate of change of the outlet air temperature is less than the first rate of change threshold for a duration reaching a third duration threshold; the absolute value of the rate of change of the inlet and outlet air temperature difference is less than the second rate of change threshold for a duration reaching a fourth duration threshold; the inlet and outlet air temperature difference is the difference between the inlet air temperature and the outlet air temperature. The disturbance sampling section includes a thermal disturbance sampling section and / or an air volume disturbance sampling section and / or a tumbling disturbance sampling section; the target disturbance includes applying a power disturbance to the heating power in the thermal disturbance sampling section, and / or applying a speed disturbance to the fan speed in the air volume disturbance sampling section, and / or applying a tumbling disturbance to the drum tumbling rhythm in the tumbling disturbance sampling section.

3. The drying control method according to claim 2, characterized in that, The operational response information includes at least one of heating power, inlet air temperature, outlet air temperature, motor current, and drum speed; Determining the current drying status of the clothing based on the operational response information includes: Based on the change in heating power and the change in outlet air temperature before and after the power disturbance, the thermal response coefficient is determined; and / or, Based on the change in the inlet and outlet air temperature difference before and after the turbulence disturbance, the turbulence exposure response coefficient is determined; and / or, Based on the motor current and the drum speed during the tumbling disturbance process, the agglomeration resistance coefficient is determined; and / or, The recovery rebound amount is determined based on the outlet air temperature before the tumbling disturbance and the outlet air temperature of the recovery sampling section after the tumbling disturbance ends. The current dryness state of the garment is determined based on the thermal response coefficient and / or the tumble exposure response coefficient and / or the agglomeration retardation coefficient and / or the recovery rebound amount.

4. The drying control method according to claim 3, characterized in that, The determination of the thermal response coefficient based on the change in heating power and the change in outlet air temperature before and after the power disturbance includes: The ratio of the change in heating power to the change in outlet air temperature is defined as the thermal response coefficient. The determination of the turbulence exposure response coefficient based on the change in the inlet and outlet air temperature difference before and after the turbulence disturbance includes: The change in the inlet and outlet air temperature difference before and after the turbulence disturbance is determined as the ratio of the inlet and outlet air temperature difference reference value before the turbulence disturbance to the turbulence exposure response coefficient; wherein, the inlet and outlet air temperature difference reference value is the average value of the inlet and outlet air temperature difference during the reference sampling period before the disturbance sampling segment; The determination of the agglomeration resistance coefficient based on the motor current and the drum speed during the tumbling disturbance process includes: The first deviation of the peak value of the motor current relative to the reference current is determined, and the second deviation of the target time for the drum speed to reach a stable state from the reference stable time is determined. The first deviation and the second deviation are then weighted and summed to obtain the agglomeration resistance coefficient. The reference current is the average value of the motor current during the reference sampling period. The determination of the recovery rebound amount based on the outlet air temperature before the turbulence disturbance and the outlet air temperature of the recovery sampling segment after the turbulence disturbance ends includes: The relative change between the average value of the outlet air temperature in the recovery sampling section and the average value of the outlet air temperature before the turbulence disturbance is determined as the recovery rebound amount.

5. The drying control method according to claim 3, characterized in that, Determining the current dryness state of clothing based on the thermal response coefficient and / or the tumble exposure response coefficient and / or the agglomeration retardation coefficient and / or the recovery rebound includes: When the thermal response coefficient is less than the first threshold, the dispersion and exposure response coefficient is less than the second threshold, and the agglomeration and retardation coefficient is less than the third threshold, the drying state is determined to be an overall uniformly moist state. When the thermal response coefficient is greater than or equal to the first threshold, the dispersion exposure response coefficient is greater than or equal to the second threshold, and the agglomeration retardation coefficient is less than the fourth threshold, the drying state is determined to be an externally dry and internally moist state. When the dispersion exposure response coefficient is greater than or equal to the fifth threshold and the aggregation retardation coefficient is greater than or equal to the fourth threshold, the drying state is determined to be a local aggregation retardation state. When the thermal response coefficient is greater than or equal to the sixth threshold, the dispersion exposure response coefficient is less than the seventh threshold, the agglomeration retardation coefficient is less than the eighth threshold, and the recovery rebound is greater than the ninth threshold, the drying state is determined to be an overall uniform drying state.

6. The drying control method according to claim 1, characterized in that, The determination of the target control strategy based on the dryness state includes: When the drying state is determined to be a uniformly humid state, the target control strategy is determined to be the first drying strategy; the first drying strategy includes: maintaining the current heating power, fan speed and rotation cycle. When the drying state is determined to be an externally dry and internally wet state, the target control strategy is determined to be the second drying strategy; the second drying strategy includes: reducing the heating power, increasing the fan speed, and shortening the pause time in the flipping cycle; When the drying state is determined to be a localized agglomeration and stagnant state, the target control strategy is determined to be the third drying strategy; the third drying strategy includes: pausing or reducing the heating power and performing at least two rounds of tumbling and dispersing actions; When the drying state is determined to be a uniform drying state, the target control strategy is determined to be the fourth drying strategy; the fourth drying strategy includes: reducing the heating power and slowing down the turning cycle.

7. The drying control method according to claim 6, characterized in that, The method further includes: Heating ends when the drying state is determined to be the overall uniform drying state for N consecutive times, or when the total drying time reaches a preset upper limit; N is a positive integer greater than or equal to 2. When the cumulative heat exposure exceeds the safety threshold, the heating power is reduced or heating is stopped. The cumulative heat exposure is the cumulative value of the outlet air temperature exceeding the safety temperature threshold.

8. A drying control device, characterized in that, The device includes: The disturbance application module is used to apply target disturbances to the operating parameters of the washing machine during the drying process; The status determination module is used to acquire the operating response information of the washing machine under the target disturbance, and determine the current drying status of the clothes based on the operating response information; The strategy determination module is used to determine a target control strategy based on the drying state; The drying control module is used to control the washing machine to perform drying operations based on the target control strategy.

9. A washing machine, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the drying control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the drying control method as described in any one of claims 1 to 7.

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