Laundry treating machine and control method thereof, storage medium

Abstract

The application discloses a clothes processing machine and a control method thereof and a storage medium, and relates to the technical field of clothes processing machines. The clothes processing machine comprises a drying filter screen and a drainage filter screen. The control method of the clothes processing machine comprises the following steps: after receiving a drying filter screen detection instruction, acquiring parameter information of the clothes processing machine, wherein the parameter information at least comprises a clogging parameter of the drainage filter screen of the clothes processing machine; determining a clogging state of the drying filter screen of the clothes processing machine according to the parameter information; and executing a corresponding strategy according to the clogging state of the drying filter screen of the clothes processing machine. In the technical scheme, the clogging parameter of the drainage filter screen is introduced into the clogging state judgment of the drying filter screen, the impurity accumulation reflected in the drainage process is used for assisting in judging the clogging state of the drying filter screen, so that the judgment dimension is increased, and the judgment accuracy is improved.

Description

Technical Field

[0001] This application relates to the technical field of clothing processing machines, and more particularly to a clothing processing machine and its control method and storage medium. Background Technology

[0002] Clothing handling machines, such as washer-dryer combos and dryers, typically have a drying function. During the drying process, the clothing handling machine generally uses a fan to drive airflow to circulate between the air duct and the clothing handling chamber. The circulating airflow is heated and dehumidified by a heating device, heat pump system, or other heat exchange system, thereby removing moisture from the clothes and achieving the drying effect.

[0003] During the drying process, impurities such as lint, fibers, and other debris from clothing are carried by the circulating airflow. To prevent these impurities from entering components such as air ducts, heat exchangers, or fans, garment dryers are typically equipped with drying filters to intercept lint and debris in the circulating airflow. As the number of drying cycles increases, lint and debris gradually accumulate on the drying filter, reducing its ventilation area and consequently decreasing the circulating airflow.

[0004] When the dryer filter becomes clogged, the drying efficiency of the garment processor decreases, the drying time increases, and the overall energy consumption rises. For garment processors using heat pump systems, a clogged dryer filter can also reduce the heat exchange efficiency of the air duct, affecting the operation of components such as the compressor, condenser, and evaporator. In severe cases, it may even trigger compressor overheat protection or other operational abnormalities, impacting the reliability and lifespan of the garment processor. Therefore, accurately detecting the clogging status of the dryer filter and providing appropriate alerts to users based on the degree of clogging is a crucial issue that needs to be addressed in the field of garment processor control.

[0005] The above content is only used to help understand the technical solution of this application and does not represent an admission that the above content is prior art. Summary of the Invention

[0006] The main objective of this application is to provide a garment processing machine and its control method and storage medium, which aims to detect the clogging status of the drying filter at a low cost.

[0007] To achieve the above objectives, this application proposes a control method for a garment processing machine, the garment processing machine including a drying filter and a drain filter, and the control method for the garment processing machine includes: After receiving the drying filter detection command, the parameter information of the clothes processing machine is obtained, and the parameter information includes at least the clogging parameters of the drain filter of the clothes processing machine. The clogging status of the drying filter of the garment processing machine is determined based on the parameter information. The corresponding strategy is executed according to the clogging status of the drying filter of the garment processing machine.

[0008] In one embodiment, the step of obtaining the parameter information of the garment processing machine includes: Obtain the drainage time after the most recent rinse cycle of the garment processing machine; The clogging parameters of the drainage filter are determined based on the drainage duration.

[0009] In one embodiment, the step of determining the clogging parameters of the drainage filter based on the drainage duration includes: The clogging parameters of the drainage filter are obtained by comparing the drainage time with the rated drainage time.

[0010] In one embodiment, the parameter information further includes drying parameters; The step of determining the clogging status of the drying filter of the garment processing machine based on the parameter information includes: The clogging index of the drying filter is determined based on the drying parameters and the clogging parameters of the drainage filter. The clogging status of the drying filter is determined based on the clogging index of the drying filter.

[0011] In one embodiment, the drying parameters include temperature difference parameters and fan power parameters, and the clothing processing machine includes a processing chamber for processing clothing and a fan for blowing air into the processing chamber; The step of obtaining the parameter information of the garment processing machine includes: The inlet air temperature and return air temperature of the processing chamber of the garment processing machine are obtained, and the temperature difference parameter is determined based on the inlet air temperature and the return air temperature. Obtain the power of the fan, and determine the fan power parameters based on the fan power; Correspondingly, the step of determining the clogging index of the drying filter based on the drying parameters and the clogging parameters of the drain filter includes: According to the formula F=k1 α+k2 β+k3 γ determines the clogging index of the drying filter, where F is the clogging index of the drying filter, α is the temperature difference parameter, β is the fan power parameter, γ is the clogging parameter of the drainage filter, and k1, k2 and k3 are weighting coefficients.

[0012] In one embodiment, the step of determining the temperature difference parameter based on the inlet air temperature and the return air temperature includes: The temperature difference parameter α is determined according to the formula α=ΔT / ΔT0: where ΔT is the temperature difference between the inlet air temperature and the return air temperature, and ΔT0 is the temperature difference reference value; The step of determining the wind turbine power parameters based on the wind turbine power includes: The power parameter β of the wind turbine is determined according to the formula β=P / P0, where P is the real-time power of the wind turbine and P0 is the reference value of the wind turbine power.

[0013] In one embodiment, prior to the step of acquiring the parameter information of the garment processing machine, the control method further includes: Obtain the weight W of the clothes to be dried; Correspondingly, the temperature difference reference value ΔT0 is given by the formula ΔT0=a W+b is determined, where W is the weight of the clothes to be dried, a is the first set value, and b is the second set value; The reference value P0 of the wind turbine power is given by the formula P0=A W+B is set, where W is the weight of the clothes to be dried, A is the third setting value, and B is the fourth setting value.

[0014] In one embodiment, the garment processing machine includes a heating device for heating the air intake of the processing chamber; Before the step of obtaining the inlet air temperature and return air temperature of the processing chamber of the garment processor, the step of obtaining the parameter information of the garment processor further includes: The heating device is controlled to heat the air intake of the processing chamber until the return air temperature of the processing chamber reaches the first temperature range.

[0015] In one embodiment, the step of determining the clogging state of the drying filter based on the clogging index of the drying filter includes: When the clogging index of the drying filter falls within a first value range, the drying filter is determined to be in a slightly clogged state. When the clogging index of the drying filter falls within the second value range, the drying filter is determined to be in a moderately clogged state. When the clogging index of the drying filter falls within the third value range, the drying filter is determined to be in a severely clogged state.

[0016] In one embodiment, the step of executing a corresponding strategy based on the clogging state of the drying filter of the garment processor includes: If the drying filter is slightly clogged, a first alert message will be output. If the drying filter is moderately clogged, a second prompt message will be output. If the drying filter is severely clogged, a third prompt message will be output, and the drying program will be paused or disabled.

[0017] In addition, to achieve the above objectives, this application also proposes a garment processing machine, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the control method for the garment processing machine as described in any of the above descriptions.

[0018] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the control method for the clothing processing machine as described above.

[0019] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the control method for the clothing processing machine as described above.

[0020] One or more technical solutions proposed in this application have at least the following technical effects: By incorporating the clogging parameter of the drainage filter into the clogging status judgment of the drying filter, the accumulation of impurities reflected in the drainage process can be used to assist in judging the clogging status of the drying filter, thereby increasing the judgment dimensions and improving the accuracy of the judgment. Compared with the fixed periodic prompt scheme, its prompt accuracy is higher. Furthermore, by implementing corresponding strategies according to different clogging statuses, it can avoid excessive interruption of user operation in the case of minor clogging, and can also take timely protective measures in the case of severe clogging, thereby improving the humanization of the control strategy and the safety of the equipment. Attached Figure Description

[0021] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0022] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 A flowchart illustrating the control method for the garment processing machine of this application (Example 1). Figure 2 This is a flowchart illustrating the control method for the garment processing machine according to Embodiment 2 of this application. Figure 3 This is a schematic diagram of the module structure of the control device according to an embodiment of this application; Figure 4 This is a schematic diagram of the hardware operating environment involved in the control method of the clothing processing machine in the embodiments of this application.

[0024] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0025] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0026] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0027] In this embodiment, for ease of description, the following description will focus on the garment processing machine as the executing entity.

[0028] Clothing handling machines, such as washer-dryer combos and dryers, typically have a drying function. During the drying process, the clothing handling machine generally uses a fan to drive airflow to circulate between the air duct and the clothing handling chamber. The circulating airflow is heated and dehumidified by a heating device, heat pump system, or other heat exchange system, thereby removing moisture from the clothes and achieving the drying effect.

[0029] During the drying process, impurities such as lint, fibers, and other debris from clothing are carried by the circulating airflow. To prevent these impurities from entering components such as air ducts, heat exchangers, or fans, garment dryers are typically equipped with drying filters to intercept lint and debris in the circulating airflow. As the number of drying cycles increases, lint and debris gradually accumulate on the drying filter, reducing its ventilation area and consequently decreasing the circulating airflow.

[0030] When the dryer filter becomes clogged, the drying efficiency of the garment processor decreases, the drying time increases, and the overall energy consumption rises. For garment processors using heat pump systems, a clogged dryer filter can also reduce the heat exchange efficiency of the air duct, affecting the operation of components such as the compressor, condenser, and evaporator. In severe cases, it may even trigger compressor overheat protection or other operational abnormalities, impacting the reliability and lifespan of the garment processor. Therefore, accurately detecting the clogging status of the dryer filter and providing appropriate alerts to users based on the degree of clogging is a crucial issue that needs to be addressed in the field of garment processor control.

[0031] In existing technologies, the main methods for detecting dryer filter clogging include fixed-cycle reminders. These reminders typically prompt the user to clean the filter after a preset number of runs or a preset duration. While simple to implement, this method doesn't reflect the actual degree of filter clogging. Furthermore, fixed-cycle reminders are prone to issues of alerting too early or too late when user frequency, clothing material, clothing load, or lint generation vary.

[0032] Based on this, embodiments of this application provide a control method for a garment processing machine, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the control method for the garment processing machine of this application.

[0033] In this embodiment, the control method of the garment processing machine includes steps S10 to S30: Step S10: After receiving the drying filter detection command, obtain the parameter information of the clothes processing machine, the parameter information including at least the clogging parameters of the drain filter of the clothes processing machine; It should be noted that the form of the garment processing machine is not limited. It can be a washer-dryer combo, or a combined dryer and washing machine, etc., and is not limited here.

[0034] The method of generating the drying filter detection command is unrestricted; it can be triggered actively by the user or automatically by the garment processor. For example, the user can select the "Filter Detection" function on the display interface or issue a detection command through a mobile terminal application. Alternatively, the garment processor can automatically generate the drying filter detection command when the drying program starts, when the drying program reaches a preset stage, before the drying program ends, after the drying program ends, when the cumulative running time reaches a preset duration, or when the cumulative drying count reaches a preset number of times, etc., and this is not limited to any specific instance.

[0035] The parameter information refers to a set of one or more parameters used to determine the clogging status of the drying filter. The parameter information may include clogging parameters of the drain filter, and may further include temperature difference parameters, fan power parameters, clothing weight, ambient temperature, clothing moisture content, drying stage, fan speed, duct pressure, compressor operating parameters, etc., without limitation.

[0036] The drainage filter screen refers to a filter screen used to filter impurities in the drainage path. It can be installed at the drainage pump, in the drainage pipeline, at the drainage pump inlet, in the front filter chamber of the drainage pump, or in other locations that can intercept drainage impurities. No limitation is made here.

[0037] It should be noted that the clogging of the drain filter can reflect the accumulation of impurities such as lint and hair during clothing processing, and these impurities may also be related to the degree of clogging of the dryer filter.

[0038] The clogging parameter of the drainage filter refers to a parameter used to characterize the degree of clogging of the drainage filter. This parameter can be the ratio, difference, normalized value, grade value, or other evaluation value calculated based on the drainage time to the rated drainage time, etc., and is not limited here.

[0039] The clogging parameters of the drain filter can reflect the degree of impurity accumulation in the drainage path. Since impurities such as lint and fuzz generated during the washing and drying of clothes are related, the clogging parameters of the drain filter can serve as an auxiliary basis for judging the clogging status of the drying filter, thereby improving the accuracy of judging the clogging status of the drying filter.

[0040] Step S20: Determine the clogging status of the drying filter of the garment processing machine based on the parameter information; It should be noted that the blockage state may include at least one of the following: normal state, mild blockage state, moderate blockage state, and severe blockage state. It may also be divided into more or fewer levels according to actual needs, which is not limited here.

[0041] The determination of the blockage state can be achieved through threshold comparison, weighted fusion, table lookup, empirical models or other control logic, etc., which are not limited here.

[0042] Step S30: Execute the corresponding strategy according to the clogging status of the drying filter of the garment processing machine.

[0043] Corresponding strategies can be implemented based on the clogging status of the drying filter, including not providing a prompt, outputting a prompt message, recording fault information, limiting drying parameters, pausing the drying program, prohibiting the drying program from running, and prompting the user to clean the drying filter, etc., without being limited to these specific measures.

[0044] In the technical solution of the embodiments of this application, by introducing the clogging parameter of the drainage filter into the clogging status judgment of the drying filter, the accumulation of impurities reflected in the drainage process can be used to assist in judging the clogging status of the drying filter, thereby increasing the judgment dimensions and improving the accuracy of the judgment. Compared with the fixed periodic prompting scheme, its prompting accuracy is higher. Furthermore, by executing corresponding strategies according to different clogging statuses, it can avoid excessive interruption of user use when there is slight clogging, and can also take timely protective measures when there is severe clogging, thereby improving the humanization of the control strategy and the safety of the equipment.

[0045] It should be noted that the specific method for obtaining the clogging parameters of the drain filter of the garment processor is not limited. It can be obtained by directly detecting the pressure difference on both sides of the drain filter, or by using a visual inspection device to judge the clogging parameters of the drain filter by detecting its appearance, etc., and is not limited here.

[0046] Please see Figure 2 In some embodiments, the step of obtaining the parameter information of the garment processing machine includes: Step S11: Obtain the drainage time after the most recent rinse cycle of the garment processing machine; The drainage time after the most recent rinse cycle can refer to the time elapsed from the start of drainage until the water level reaches a preset level after the rinsing stage ends during the most recent wash cycle executed by the garment processor. The preset water level can be the empty tub level, low water level, drained water level, or other water levels that indicate drainage completion. The drainage time can be determined by the controller based on the drain pump start-up time and water level detection results, or it can be determined based on the water level sensor, pressure sensor, flow sensor, or drain pump operating status; no limitation is made here.

[0047] In one specific embodiment, the garment processor records the drainage process after the final rinse in each washing cycle. When the controller starts the drain pump, the drainage start time is recorded; when the water level sensor detects that the water level has dropped to the empty tub level, the drainage end time is recorded; the time difference between the drainage end time and the drainage start time is used as the drainage duration. This drainage duration can be stored in a memory for later retrieval upon receiving a dryer filter detection command.

[0048] It's important to note that the most recent washing cycle and subsequent drying cycles typically involve the same batch of clothes or clothes processed within a similar timeframe, allowing for a more timely reflection of the current level of lint, fibers, and impurities. Furthermore, the drainage process after rinsing usually occurs after the clothes have been thoroughly soaked and washed, making it easier for lint and impurities carried in the water to enter the drainage path. Therefore, clogging of the drain filter has a significant impact on drainage time. Moreover, drainage time is a parameter easily obtained from the existing control system of the garment processor, eliminating the need for complex sensors and contributing to cost reduction.

[0049] In some embodiments, the drainage time after the most recent rinse can be the drainage time after the last rinse in the most recent washing cycle. Since the last rinse is usually close to the end of the washing cycle, the drainage status better reflects the actual degree of clogging of the drain filter during this garment processing. In other embodiments, the drainage time after the most recent rinse can also be the drainage time after any rinse in the most recent rinse stage, or the average, maximum, or weighted value of multiple rinse drainage times, which is not limited here.

[0050] Step S12: Determine the clogging parameters of the drainage filter based on the drainage duration.

[0051] It should be noted that the specific implementation method for determining the clogging parameter of the drain filter based on the drainage time is not limited. It can be to set multiple time intervals, with each interval corresponding to a clogging parameter, thereby determining the clogging parameter based on the time interval in which the drainage time falls. Alternatively, it can be to compare the drainage time with the rated drainage time to obtain the clogging parameter of the drain filter. The rated drainage time can be the reference time required for the drain filter to drain from the end of rinsing to a preset water level when the drain filter is unclogged or slightly clogged. The rated drainage time can be obtained by the manufacturer through experimental calibration before leaving the factory, or it can be obtained by the garment processing machine through self-learning during the initial use phase. It can also be dynamically determined based on factors such as garment weight, water level, drain pump specifications, installation height, and drain pipe condition; these are not limited here.

[0052] In the solution of this embodiment, by obtaining the drainage time after the most recent rinse and determining the clogging parameters of the drain filter accordingly, the clogging parameters of the drain filter can be obtained using the existing drainage process of the garment processing machine, without the need to add a dedicated clogging sensor, thus reducing costs. At the same time, the drainage time can more intuitively reflect the degree of clogging of the drain filter, and using it as an input parameter for subsequent dryer filter clogging judgment helps to improve the accuracy of judgment.

[0053] Furthermore, in some embodiments, the step of determining the clogging parameters of the drainage filter based on the drainage duration includes: Step S121: Compare the drainage time with the rated drainage time to obtain the clogging parameters of the drainage filter.

[0054] Specifically, the clogging parameter γ of the drain filter can be determined based on the ratio of the drainage time ΔS to the rated drainage time ΔS0, i.e., γ = ΔS / ΔS0. Here, ΔS is the drainage time after the most recent rinsing, and ΔS0 is the rated drainage time. When the drain filter is unclogged or only slightly clogged, ΔS is close to ΔS0, and γ is close to 1. As the clogging of the drain filter worsens, the drainage resistance increases, ΔS increases, and γ also increases accordingly. Therefore, γ can be used to characterize the degree of clogging of the drain filter.

[0055] Of course, the clogging parameter γ of the drainage filter can also be determined according to γ ​​= (ΔS - ΔS0) / ΔS0, or calculated based on the difference, ratio, and preset coefficient between ΔS and ΔS0. Alternatively, a mapping relationship between drainage duration intervals and clogging levels can be established in advance, and γ can be determined based on the interval into which ΔS falls. For example, when ΔS is less than or equal to ΔS0, γ takes the first value; when ΔS is greater than ΔS0 and less than the first drainage threshold, γ takes the second value; and when ΔS is greater than or equal to the first drainage threshold, γ takes the third value. The specific value selection method described above can be set according to the overall machine structure and experimental data.

[0056] Of course, other comparison methods can also be used, which will not be listed here.

[0057] In the technical solution of this embodiment, the clogging parameters of the drainage filter are obtained by comparing the drainage time with the rated drainage time. This can reduce the absolute drainage time differences caused by different models, different drainage pump capacities, or different installation conditions, and make the clogging parameters have normalization significance, thereby improving the consistency and transferability of the judgment results under different operating scenarios.

[0058] In some embodiments, the parameter information further includes drying parameters; The step of determining the clogging status of the drying filter of the garment processing machine based on the parameter information includes: Step S21: Determine the clogging index of the drying filter based on the drying parameters and the clogging parameters of the drain filter; The drying parameters refer to parameters related to the drying airflow, drying load, and drying system operating status during the drying process or drying detection of the garment processing machine. These parameters may include inlet air temperature, return air temperature, inlet and return air temperature difference, fan power, fan current, fan speed, duct pressure, compressor frequency, heat exchanger temperature, ambient temperature, garment weight, and garment moisture content, etc., and are not limited here.

[0059] The clogging index of the drying filter is a numerical value used to comprehensively evaluate the degree of clogging of the drying filter. This clogging index can be calculated by weighting one or more parameters; a higher clogging index indicates a more severe clogging of the drying filter. Alternatively, the algorithm can be set so that a lower clogging index indicates more severe clogging. In this embodiment, the example of a higher clogging index indicating more severe clogging is used for illustration.

[0060] In the scheme of this embodiment, the clogging index of the drying filter is determined by the drying parameters and the clogging parameters of the drain filter. This method uses the drying parameters to make a comprehensive judgment, which is more accurate than the method of determining the clogging index of the drying filter by using only the clogging parameters of the drain filter.

[0061] Specifically, when the drying filter becomes clogged, the circulating air volume decreases, which in turn affects the temperature difference between the inlet and outlet air temperatures in the processing chamber, and also affects the fan load and fan power. The drain filter clogging parameter can reflect the accumulation of impurities such as lint and lint during the clothing processing from another perspective. When using the temperature difference parameter alone, it may be affected by factors such as ambient temperature, heating stage, and clothing moisture content; when using the fan power parameter alone, it may be affected by factors such as clothing load, duct structure, and fan characteristics. Introducing the drain filter clogging parameter allows information on impurity accumulation during the washing and drainage process to be used to correct or supplement the drying-side parameter judgment, thereby improving the reliability of the overall judgment.

[0062] Furthermore, in some embodiments, the drying parameters include temperature difference parameters and fan power parameters, and the clothing processing machine includes a processing chamber for processing clothing and a fan for blowing air into the processing chamber; It should be emphasized that, when the garment processing machine is a washer-dryer combo, the processing chamber can be used for washing and drying garments; when the garment processing machine includes a separate dryer, the processing chamber can be formed by the drying chamber of the dryer, and so on, without limitation here.

[0063] The step of obtaining the parameter information of the garment processing machine includes: Step S13: Obtain the inlet air temperature and return air temperature of the processing chamber of the garment processing machine, and determine the temperature difference parameter based on the inlet air temperature and the return air temperature; It should be noted that the specific form of the temperature difference parameter is not limited. It can be the temperature difference between the inlet air temperature and the return air temperature, or it can be the ratio between the temperature difference between the inlet air temperature and the return air temperature and the rated temperature difference, etc., and is not limited here.

[0064] It is understandable that after the drying filter becomes clogged, the heat exchange between the gas and the clothes in the processing chamber becomes more thorough, resulting in a larger temperature difference. Correspondingly, the temperature difference parameter can also reflect the degree of clogging of the filter to some extent.

[0065] Step S14: Obtain the power of the fan and determine the fan power parameters based on the power of the fan; It should be noted that the specific form in which the power parameters of the fan are determined based on the power of the fan is not limited. It can be the power value of the fan directly, or the ratio of the real-time power of the fan to the rated power, etc., and is not limited here.

[0066] It is understandable that when the drying filter becomes clogged, the load on the fan will increase. Therefore, the actual power of the fan will be higher than the rated power in this state. Correspondingly, the power value of the fan can also be used to determine the clogging status of the drying filter to a certain extent.

[0067] Correspondingly, the step of determining the clogging index of the drying filter based on the drying parameters and the clogging parameters of the drain filter includes: Step S211: According to the formula F = k1 α+k2 β+k3 γ determines the clogging index of the drying filter, where F is the clogging index of the drying filter, α is the temperature difference parameter, β is the fan power parameter, γ is the clogging parameter of the drainage filter, and k1, k2 and k3 are weighting coefficients.

[0068] The weighting coefficients k1, k2, and k3 can be set according to the contribution of temperature difference parameters, fan power parameters, and drain filter clogging parameters to the identification of dryer filter clogging. For example, the correlation between each parameter and the actual degree of clogging of the dryer filter can be determined based on a large number of experimental samples, and then the weights can be determined based on the correlation. Alternatively, they can be calibrated according to the machine structure, sensor accuracy, and control strategy requirements; no limitation is made here. In one example, k1 can be greater than k2, and k2 can be greater than k3, to reflect the sensitivity of the temperature difference parameter to changes in drying airflow, the direct reflection of changes in fan power parameters on air resistance, and the control consideration of drain filter clogging parameters as auxiliary correction factors. In some embodiments, k1, k2, and k3 can satisfy k1 + k2 + k3 = 1, so that the clogging index has a normalized fusion meaning.

[0069] In one specific embodiment, k1 is 0.5, k2 is 0.3, and k3 is 0.2. In this case, the temperature difference parameter has a significant impact on the blockage index, followed by the fan power parameter, while the drain filter blockage parameter serves as an auxiliary compensation item in the judgment. This setting can take into account both the real-time status of the drying side and the impurity accumulation status of the drain side. However, the above values ​​are merely examples and should not be construed as limiting the scope of protection of this application.

[0070] In the scheme of this embodiment, the clogging index of the drying filter is determined by the drying parameters and the drainage filter clogging parameters. This can integrate feature information from multiple different sources into a unified evaluation value, which is convenient for subsequent threshold judgment and graded control. At the same time, multi-parameter fusion can reduce the impact of abnormal fluctuations of a single parameter on the judgment result and improve the accuracy and stability of drying filter clogging detection.

[0071] Furthermore, by weighted fusion of temperature difference parameters, fan power parameters, and drain filter clogging parameters, the degree of clogging of the drying filter can be evaluated from three perspectives: heat exchange status, airflow resistance status, and impurity accumulation status. The temperature difference parameter reflects the changes in heat exchange between the circulating airflow and the clothes; the fan power parameter reflects the fan's working state in overcoming airflow resistance; and the drain filter clogging parameter reflects the tendency for lint and impurities to accumulate during clothing processing. Combining these three parameters improves the robustness of clogging status identification.

[0072] The absolute temperature difference between the inlet and outlet air temperatures can vary significantly depending on the weight of the clothing, the ambient temperature, and the drying stage. Using ΔT directly as the judgment parameter can easily lead to misjudgments due to variations in load. Ratioing ΔT to the corresponding baseline value ΔT0 allows the temperature difference parameter to reflect the degree of deviation from the normal reference temperature difference, thereby improving comparability under different loads and operating conditions.

[0073] Furthermore, in some embodiments, the step of determining the temperature difference parameter based on the inlet air temperature and the return air temperature includes: Step S131: Determine the temperature difference parameter α according to the formula α=ΔT / ΔT0: where ΔT is the temperature difference between the inlet air temperature and the return air temperature, and ΔT0 is the temperature difference reference value; The temperature difference reference value ΔT0 can be understood as the reference temperature difference between the inlet air temperature and the return air temperature of the processing chamber under the reference state. The reference state can be the state where the drying filter is not clogged or is basically not clogged, or it can be the state where the clothing processing machine is in the preset drying stage, preset load conditions, preset return air temperature range and preset environmental conditions. There is no limitation here.

[0074] The temperature difference reference value ΔT0 can be a preset fixed value or a dynamically adjusted value, and there is no limitation here.

[0075] In some embodiments, before the step of obtaining the parameter information of the garment processing machine, the control method further includes obtaining the weight W of the garment to be dried; Correspondingly, the temperature difference reference value ΔT0 is given by the formula ΔT0=a W+b is set, where W is the weight of the clothes to be dried, a is the first set value, and b is the second set value.

[0076] The first setting value and the second setting value can be parameters obtained through experimental calibration, factory settings, model training or self-learning, and can also be updated according to the model, program type, environmental conditions or user habits, without limitation here.

[0077] It should be noted that the weight of the clothes affects the heat capacity, moisture content, duct resistance, and airflow distribution during the drying process. When the weight of the clothes is large, the clothes accumulate more in the drying chamber, which may increase the airflow resistance and alter the heat exchange and moisture evaporation processes. When the weight of the clothes is small, the airflow is relatively smooth, and the normal range of temperature difference and fan power may differ. Therefore, if the same ΔT0 is used for different weights of clothes, it is easy to misinterpret the load difference as a difference in filter blockage.

[0078] In this embodiment, by obtaining the weight of the clothes to be dried and determining the temperature difference reference value based on the weight of the clothes, the temperature difference parameter can be adaptively corrected according to the load of the clothes, reducing the interference of the weight of the clothes on the blockage judgment and avoiding false alarms or missed alarms caused by using the same reference value in light and heavy load scenarios.

[0079] The real-time power of a fan is related not only to duct resistance, but also to fan speed, clothing load, duct structure, power supply voltage, and control strategy. The absolute value of fan power can vary significantly between different models or under different loads. By comparing it with a baseline value P0, the degree of change in current fan power relative to normal conditions can be more accurately reflected.

[0080] Therefore, in some embodiments, the step of determining the wind turbine power parameters based on the wind turbine's power includes: Step S141: Determine the fan power parameter β according to the formula β=P / P0, where P is the real-time power of the fan and P0 is the reference value of the fan power.

[0081] The reference value P0 of the fan power can be understood as the reference power when the fan maintains the preset air volume, preset speed, or preset control target under the reference state. The reference state can be a state where the drying filter is unclogged or basically unclogged, or a normal drying state corresponding to the current weight of the clothes; there is no limitation here.

[0082] ΔT0 and P0 can be pre-stored in memory. For example, the memory can store a correspondence table between clothing weight ranges and ΔT0 and P0. After the controller obtains the clothing weight, it reads the corresponding ΔT0 and P0 according to the weight range of the clothing. In other embodiments, ΔT0 and P0 can also be calculated by formula or obtained through self-learning from historical data, which is not limited here.

[0083] In some embodiments, before the step of obtaining the parameter information of the clothes processing machine, the control method further includes obtaining the weight W of the clothes to be dried, and correspondingly, the reference value P0 of the fan power is obtained by the formula P0=A. W+B is set, where W is the weight of the clothes to be dried, A is the third setting value, and B is the fourth setting value.

[0084] The third and fourth set values ​​can be parameters obtained through experimental calibration, factory settings, model training, or self-learning. They can also be updated according to the model, program type, environmental conditions, or user habits, and are not limited here.

[0085] Similarly, if the same P0 is used for different garment weights, it is easy to misjudge the load difference as a difference in filter clogging.

[0086] In the solution of this embodiment, by obtaining the weight of the clothes to be dried and determining the reference value of the fan power based on the weight of the clothes, the fan power parameters can be adaptively corrected according to the load of the clothes, reducing the interference of the weight of the clothes on the blockage judgment and avoiding false alarms or missed alarms caused by using the same reference value in light load and heavy load scenarios.

[0087] In the scheme of this embodiment, by normalizing the temperature difference and fan power with the corresponding reference values, the influence of clothing weight, machine model differences, operating stage and environmental conditions on absolute parameters can be reduced, so that the temperature difference parameters and fan power parameters can better reflect the relative changes caused by the clogging of the drying filter, thereby improving the accuracy of the clogging index calculation.

[0088] In addition, for some garment processing machines with heating devices, in some embodiments, the garment processing machine includes a heating device for heating the air intake of the processing chamber; Before the step of obtaining the inlet air temperature and return air temperature of the processing chamber of the garment processor, the step of obtaining the parameter information of the garment processor further includes: Step S130: Control the heating device to heat the air intake of the processing chamber until the return air temperature of the processing chamber reaches the first temperature range.

[0089] Understandably, when the drying program first starts, the temperature of the processing chamber and the clothes is low, and the temperature changes rapidly. The temperature difference between the inlet and outlet air temperatures is easily affected by the initial temperature, the moisture content of the clothes, and the starting status of the heating device. In the later stages of the drying program, the moisture content of the clothes decreases, and the heat exchange state also changes. If temperature parameters are collected when the temperature has not yet stabilized or when there are significant differences in the drying stages, the accuracy of clogging detection may be reduced.

[0090] In this embodiment, the heating device is controlled to heat the air entering the processing chamber until the return air temperature reaches the first temperature range before the air entering and returning temperatures are acquired. This ensures that the temperature acquisition is in a relatively stable and comparable state. By acquiring the air entering and returning temperatures only after the return air temperature reaches the first temperature range, the temperature difference parameter acquisition occurs under relatively consistent thermal conditions. This reduces the impact of the initial heating stage of drying and the initial state of different garments on the temperature difference parameter, thereby improving the accuracy of the dryer filter blockage detection.

[0091] The specific value of the first temperature range is not limited and can be set according to the machine model, drying program, heating method and safety requirements. No restrictions are imposed here.

[0092] In some embodiments, the first temperature range can be a temperature range centered at 35°C, which can be 30°C to 40°C, 32°C to 38°C, 34°C to 36°C or other temperature ranges. Correspondingly, at this time, the first temperature range is slightly higher than the normal room temperature, which can avoid misjudgment caused by low temperature conditions.

[0093] Step S22: Determine the clogging status of the drying filter based on the clogging index of the drying filter.

[0094] It should be noted that the blockage state may include at least one of the following: normal state, mild blockage state, moderate blockage state, and severe blockage state. It may also be divided into more or fewer levels according to actual needs, which is not limited here.

[0095] In some feasible implementations, the step of determining the clogging state of the drying filter based on the clogging index of the drying filter includes: Step S221: When the clogging index of the drying filter falls within the first value range, it is determined that the drying filter is in a slightly clogged state; Step S222: When the clogging index of the drying filter falls within the second value range, it is determined that the drying filter is in a moderately clogged state; Step S223: When the clogging index of the drying filter falls within the third value range, it is determined that the drying filter is in a severely clogged state.

[0096] The first, second, and third value ranges can be set based on experimental data, user experience requirements, and equipment safety requirements, and are not limited here.

[0097] Generally, the first value range corresponds to a state with mild clogging and minimal impact on drying efficiency; the second value range corresponds to a state with significant clogging that requires user attention and timely cleaning; and the third value range corresponds to a state with severe clogging that may affect drying efficiency or equipment reliability.

[0098] In some embodiments, according to the formula F = k1 α+k2 β+k3 γ determines the clogging index of the drying filter, and k1 is 0.5, k2 is 0.3, and k3 is 0.2. Correspondingly, the first value range can be 1.2~1.6, the second value range can be 1.6~2.1, and the third value range is greater than 2.1.

[0099] Furthermore, in some embodiments, when the clogging index of the drying filter is less than the first value range, it can be determined that the drying filter is in a normal state.

[0100] In the solution of this embodiment, by dividing the clogging index into different value ranges and determining the light, moderate and heavy clogging states, the degree of clogging of the drying filter can be classified and identified, providing a basis for subsequent differentiated prompts and control. Compared with the binary control method that only judges whether it is clogged, the classified judgment can better take into account the needs of user experience and equipment protection.

[0101] In some embodiments, the step of executing a corresponding strategy based on the clogging state of the drying filter of the garment processor includes: Step S31: When the drying filter is slightly clogged, output the first prompt message; Step S32: When the drying filter is moderately clogged, output a second prompt message; Step S33: When the drying filter is severely clogged, output a third prompt message and pause or disable the drying program.

[0102] The first prompt can be a gentle reminder, suggesting that the user clean the dryer filter when convenient. For example, the garment dryer can display "Please clean the filter in time" or a corresponding icon on the screen, or it can flash the filter icon after the drying program ends. The first prompt should not affect the continued operation of the current drying program to avoid excessive interruption to the user's use in the event of minor clogging.

[0103] The second prompt can be a stronger prompt, reminding the user to clean the drying filter after the current program ends. For example, a clothes dryer can display "Filter clogged, please clean after program ends" during the drying process, and can be accompanied by intermittent beeping, flashing lights, or push notifications from mobile devices. The second prompt can last longer, be displayed more frequently, or have more diverse prompting methods than the first prompt.

[0104] The third prompt can be a mandatory prompt, used to inform the user that the dryer filter is severely clogged. For example, the clothes handler can display "Filter severely clogged, please clean before running" and emit a rapid beep or send a high-priority notification. When the dryer filter is severely clogged, the controller can pause the current drying program or prevent the drying program from continuing until the user cleans the filter and confirms, at which point it can be resumed or restarted. Pausing or preventing the drying program can avoid excessively low airflow in the duct, which could lead to a significant decrease in drying efficiency, increased energy consumption, or malfunction of the heat pump system.

[0105] In some implementations, the garment handler can adjust drying program parameters based on the degree of blockage. For example, in a state of mild blockage, the drying time can be extended or the fan speed increased; in a state of moderate blockage, the heating power can be limited or the user can be reminded to clean the garment; in a state of severe blockage, the heating device can be paused or the compressor can be stopped to protect the system. These strategies can be used individually or in conjunction with prompts.

[0106] In some implementations, the prompts can be output in stages. For example, in a lightly congested state, a prompt is only displayed after the program ends; in a moderately congested state, a prompt is displayed both during and after the program ends; and in a severely congested state, a prompt is displayed immediately, and the program is paused or disabled. This allows the intensity of the prompts to match the risk of congestion, reducing unnecessary user interruptions.

[0107] In this embodiment, by outputting different prompts for mild, moderate, and severe blockages, and pausing or disabling the drying program in cases of severe blockage, differentiated, user-friendly, and safe control can be achieved. Not immediately interrupting the program in cases of mild blockage helps maintain ease of use; enhanced prompts in cases of moderate blockage encourage timely cleaning; and implementing operational restrictions in cases of severe blockage helps protect the drying system and reduce the risk of failure.

[0108] Of course, when the value of the drying filter is smaller than the first value range, the corresponding message may be that the state of the drying filter is normal, or no message may be given, etc., which is not limited here.

[0109] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the control method of the clothing processing machine of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0110] This application also provides a control device, please refer to... Figure 3 The control device includes: The acquisition module 10 is used to acquire parameter information of the clothes processing machine after receiving a drying filter detection command. The parameter information includes at least the clogging parameters of the drain filter of the clothes processing machine. Determining module 20, the determining module 20 is used to determine the clogging status of the drying filter of the clothing processing machine based on the parameter information; The execution module 30 is used to execute corresponding strategies according to the clogging status of the drying filter of the garment processing machine.

[0111] The control device provided in this application, employing the control method of the garment processing machine in the above embodiments, can solve the technical problem of how to achieve low-cost detection of the clogging status of the drying filter. Compared with the prior art, the beneficial effects of the control device provided in this application are the same as those of the control method of the garment processing machine provided in the above embodiments, and other technical features in the control device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0112] This application provides a garment processing machine, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the control method of the garment processing machine in the first embodiment described above.

[0113] The following is for reference. Figure 4 It shows a structural schematic diagram of a clothing processing machine suitable for implementing the embodiments of this application. Figure 4 The garment processing machine shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of this application.

[0114] like Figure 4As shown, the garment processing machine may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.) that can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the garment processing machine. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. The communication device 1009 allows the garment handler to communicate wirelessly or wiredly with other devices to exchange data. Although the figures show garment handlers with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0115] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0116] The garment processing machine provided in this application, employing the control method of the garment processing machine in the above embodiments, can solve the technical problem of how to achieve low-cost detection of the clogging status of the drying filter. Compared with the prior art, the beneficial effects of the garment processing machine provided in this application are the same as those of the control method of the garment processing machine provided in the above embodiments, and other technical features of this garment processing machine are the same as those disclosed in the method of the previous embodiment, and will not be repeated here.

[0117] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0118] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0119] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the control method of the clothing processing machine in the above embodiments.

[0120] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0121] The aforementioned computer-readable storage medium may be included in the garment processing machine or may exist independently without being assembled into the garment processing machine.

[0122] The aforementioned computer-readable storage medium carries one or more programs that, when executed by the garment processing machine, cause the garment processing machine to: upon receiving a drying filter detection instruction, acquire parameter information of the garment processing machine, the parameter information including at least a clogging parameter of the drain filter of the garment processing machine; determine the clogging state of the drying filter of the garment processing machine based on the parameter information; and execute a corresponding strategy based on the clogging state of the drying filter of the garment processing machine.

[0123] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0124] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0125] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0126] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the control method of the above-described garment processing machine, thereby solving the technical problem of how to achieve low-cost detection of the clogging status of the drying filter. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the control method of the garment processing machine provided in the above embodiments, and will not be repeated here.

[0127] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the control method for the garment processing machine as described above.

[0128] The computer program product provided in this application solves the technical problem of how to detect the clogging status of the drying filter at low cost. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the control method for the garment processing machine provided in the above embodiments, and will not be repeated here.

[0129] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A control method for a garment processing machine, characterized in that, The garment processing machine includes a drying filter and a drain filter, and the control method of the garment processing machine includes: After receiving the drying filter detection command, the parameter information of the clothes processing machine is obtained, and the parameter information includes at least the clogging parameters of the drain filter of the clothes processing machine. The clogging status of the drying filter of the garment processing machine is determined based on the parameter information. The corresponding strategy is executed according to the clogging status of the drying filter of the garment processing machine.

2. The control method for the garment processing machine as described in claim 1, characterized in that, The step of obtaining the parameter information of the garment processing machine includes: Obtain the drainage time after the most recent rinse cycle of the garment processing machine; The clogging parameters of the drainage filter are determined based on the drainage duration.

3. The control method for the garment processing machine as described in claim 2, characterized in that, The step of determining the clogging parameters of the drainage filter based on the drainage duration includes: The clogging parameters of the drainage filter are obtained by comparing the drainage time with the rated drainage time.

4. The control method for the garment processing machine as described in claim 1, characterized in that, The parameter information also includes drying parameters; The step of determining the clogging status of the drying filter of the garment processing machine based on the parameter information includes: The clogging index of the drying filter is determined based on the drying parameters and the clogging parameters of the drainage filter. The clogging status of the drying filter is determined based on the clogging index of the drying filter.

5. The control method for the garment processing machine as described in claim 4, characterized in that, The drying parameters include temperature difference parameters and fan power parameters, and the clothing processing machine includes a processing chamber for processing clothing and a fan for blowing air into the processing chamber. The step of obtaining the parameter information of the garment processing machine includes: The inlet air temperature and return air temperature of the processing chamber of the garment processing machine are obtained, and the temperature difference parameter is determined based on the inlet air temperature and the return air temperature. Obtain the power of the fan, and determine the fan power parameters based on the fan power; Correspondingly, the step of determining the clogging index of the drying filter based on the drying parameters and the clogging parameters of the drain filter includes: According to the formula F=k1 α+k2 β+k3 γ determines the clogging index of the drying filter, where F is the clogging index of the drying filter, α is the temperature difference parameter, β is the fan power parameter, γ is the clogging parameter of the drainage filter, and k1, k2 and k3 are weighting coefficients.

6. The control method for the garment processing machine as described in claim 5, characterized in that, The step of determining the temperature difference parameter based on the inlet air temperature and the return air temperature includes: The temperature difference parameter α is determined according to the formula α=ΔT / ΔT0: where ΔT is the temperature difference between the inlet air temperature and the return air temperature, and ΔT0 is the temperature difference reference value; The step of determining the wind turbine power parameters based on the wind turbine power includes: The power parameter β of the wind turbine is determined according to the formula β=P / P0, where P is the real-time power of the wind turbine and P0 is the reference value of the wind turbine power.

7. The control method for the garment processing machine as described in claim 6, characterized in that, Before the step of acquiring the parameter information of the garment processing machine, the control method further includes: Obtain the weight W of the clothes to be dried; Correspondingly, the temperature difference reference value ΔT0 is given by the formula ΔT0=a W+b is determined, where W is the weight of the clothes to be dried, a is the first set value, and b is the second set value; The reference value P0 of the wind turbine power is given by the formula P0=A W+B is set, where W is the weight of the clothes to be dried, A is the third setting value, and B is the fourth setting value.

8. The control method for the garment processing machine as described in claim 5, characterized in that, The garment processing machine includes a heating device for heating the air intake of the processing chamber; Before the step of obtaining the inlet air temperature and return air temperature of the processing chamber of the garment processor, the step of obtaining the parameter information of the garment processor further includes: The heating device is controlled to heat the air intake of the processing chamber until the return air temperature of the processing chamber reaches the first temperature range.

9. The control method for the garment processing machine as described in claim 4, characterized in that, The step of determining the clogging state of the drying filter based on the clogging index of the drying filter includes: When the clogging index of the drying filter falls within a first value range, the drying filter is determined to be in a slightly clogged state. When the clogging index of the drying filter falls within the second value range, the drying filter is determined to be in a moderately clogged state. When the clogging index of the drying filter falls within the third value range, the drying filter is determined to be in a severely clogged state.

10. The control method for the garment processing machine as described in claim 1, characterized in that, The step of executing a corresponding strategy based on the clogging status of the drying filter of the garment processing machine includes: If the drying filter is slightly clogged, a first alert message will be output. If the drying filter is moderately clogged, a second prompt message will be output. If the drying filter is severely clogged, a third prompt message will be output, and the drying program will be paused or disabled.

11. A garment processing machine, characterized in that, The garment processing machine includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the control method for the garment processing machine as claimed in any one of claims 1 to 10.

12. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the control method for the clothing processing machine as described in any one of claims 1 to 10.

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