Control method of clothes treatment equipment and clothes treatment equipment
By installing multiple humidity sensors within the garment processing equipment, humidity data is acquired and compared to determine the drying status. This solves the problem of inaccurate judgment caused by fixed humidity sensor settings in existing technologies, achieving higher accuracy and efficiency in drying status.
Patent Information
- Application Number
- CN202411173385.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-23
- Publication Date
- 2026-03-03
AI Technical Summary
In existing clothing processing equipment, the fixed setting of humidity sensors makes it impossible to accurately determine the drying status of clothes, especially when the load is not easily accessible to the sensor.
Multiple humidity sensors are installed inside the garment processing chamber of the garment processing equipment. By acquiring the data sets collected by multiple humidity sensors and comparing the data with humidity thresholds, the drying status of the load is determined, and different humidity thresholds and preset conditions are set to adapt to different drying statuses.
It improves the accuracy of determining the drying load, ensuring that clothes can be accurately judged and adapted to different drying conditions during the drying process, thereby improving drying efficiency and user experience.
Smart Images
Figure CN121593322A_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of clothing processing technology, and in particular to a control method for clothing processing equipment and clothing processing equipment. Background Technology
[0002] With the improvement of living standards, clothing processing equipment, such as dryers or washer-dryer combos with drying functions, has become an indispensable appliance for many families. Clothing processing equipment includes a cabinet and a clothing processing chamber located within the cabinet. An air duct connects to the clothing processing chamber, and hot air flowing between the duct and the chamber dries the clothes.
[0003] In related technologies, garment processing equipment typically uses fixed humidity sensors to detect the humidity of the garments and determine their drying status. Since the humidity sensor is fixedly mounted on the front support of the garment processing equipment, which is located at the front of the garment processing chamber, the load in the chamber, such as the garments, is not easily in contact with the humidity sensor during the drying process, making it impossible to accurately determine the current drying status of the load. Summary of the Invention
[0004] In order to solve the above-mentioned technical problems, or at least partially solve the above-mentioned technical problems, this disclosure provides a control method for a garment processing device and a garment processing device, which is beneficial to improving the accuracy of determining the drying state of the load.
[0005] In a first aspect, this disclosure provides a control method for a garment processing device, wherein a plurality of humidity sensors are disposed within the garment processing chamber of the garment processing device, and the control method includes:
[0006] Acquire the data collected from multiple humidity sensors within a preset time period;
[0007] Based on the comparison results between each collected data point and the humidity threshold in the collected dataset, if the preset conditions are met, the drying status of the load is determined.
[0008] The humidity threshold and / or preset conditions vary depending on the drying state.
[0009] In some embodiments, acquiring the data set collected by multiple humidity sensors within a preset time period includes:
[0010] Acquire the data sets collected by multiple humidity sensors within the preset time during the remaining first preset time of the drying process.
[0011] In some embodiments, determining the drying state of the load based on the comparison results of each collected data point in the collected dataset with a humidity threshold meeting preset conditions includes:
[0012] Based on the fact that the number of data points in the collected dataset that are greater than the first humidity threshold is greater than the first preset number, the drying state of the load is determined to be a partially undried state.
[0013] Wherein, the humidity threshold is a first humidity threshold; the preset condition is a first preset quantity.
[0014] In some embodiments, determining the drying state of the load based on the comparison results of each collected data point in the collected dataset with a humidity threshold meeting preset conditions includes:
[0015] Based on the fact that the number of data points in the collected dataset that are greater than the second humidity threshold is greater than the second preset number, the drying state of the load is determined to be that the load is not dry inside.
[0016] Wherein, the humidity threshold is a second humidity threshold; the preset condition is a second preset quantity; the second humidity threshold is greater than or equal to the first humidity threshold; and the second preset quantity is less than the first preset quantity.
[0017] In some embodiments, determining the drying state of the load based on the comparison results of each collected data point in the collected dataset with a humidity threshold meeting preset conditions includes:
[0018] Based on the fact that the number of data points in the collected dataset that are greater than the third humidity threshold is less than or equal to the third preset number, the drying state of the load is determined to be that the load is completely dry.
[0019] Wherein, the humidity threshold is a third humidity threshold; the preset condition is a third preset quantity; the third humidity threshold is less than the first humidity threshold; and the third preset quantity is less than the first preset quantity.
[0020] In some embodiments, after determining that the drying state of the load is that the load is partially undried, the control method of the garment processing equipment further includes:
[0021] Increase compressor power and / or fan speed.
[0022] In some embodiments, after determining that the drying state of the load is that the load is partially undried, the control method of the garment processing equipment further includes:
[0023] Perform a shakeout operation.
[0024] In some embodiments, acquiring the data set collected by multiple humidity sensors within a preset time period further includes: acquiring the data set collected by multiple humidity sensors within a preset time period after the drying program starts for a second preset time period.
[0025] The process of determining the drying state of the load based on the comparison results of each collected data in the collected dataset with the humidity threshold meeting preset conditions includes: determining the drying state of the load as an empty drum or a small load state based on the fact that the number of collected data in the collected dataset that is greater than the fourth humidity threshold is less than the fourth preset number.
[0026] Wherein, the humidity threshold is a fourth humidity threshold; the preset condition is a fourth preset quantity; the fourth humidity threshold is less than the first humidity threshold; and the fourth preset quantity is less than the first preset quantity.
[0027] In some embodiments, before determining the drying state of the load based on the comparison results of each collected data point in the collected dataset with a humidity threshold meeting preset conditions, the control method of the clothing processing equipment further includes:
[0028] Remove the sensor data that corresponds to the largest and / or smallest number of comparison results between each collected data and the humidity threshold in the collected dataset.
[0029] In a second aspect, this disclosure also provides a garment processing device, including a memory and a processor; the memory stores an executable program or instructions; the processor executes the program or instructions to implement the steps of the control method for the garment processing device as described in the first aspect.
[0030] The technical solution provided in this disclosure has the following advantages compared with the prior art:
[0031] The control method for a garment processing device provided in this disclosure includes: acquiring a dataset of data collected from multiple humidity sensors within a preset time period; determining the drying state of the load based on the comparison results of each acquired data point with a humidity threshold in the dataset meeting preset conditions; wherein, different drying states correspond to different humidity thresholds and / or preset conditions. Since the load has different humidity values depending on its drying state, comparing the load's humidity value with the corresponding humidity threshold reflects the load's moisture content. Comparing multiple humidity values with the humidity threshold yields the overall moisture content of the load. When the overall moisture content of the load meets the preset conditions, the corresponding drying state can be matched, thus setting different humidity thresholds and / or preset conditions for different drying states, which helps improve the accuracy of determining the drying state of the load. Furthermore, by equipping the garment processing chamber of the garment processing device with multiple humidity sensors, which can rotate synchronously with the processing chamber and maintain contact with the load at a certain frequency, the frequency of the humidity sensors contacting the load is increased, facilitating accurate determination of the current drying state of the load. Therefore, the control method for the garment processing device provided in this disclosure helps improve the accuracy of determining the drying state of the load. Attached Figure Description
[0032] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.
[0033] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the accompanying 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.
[0034] Figure 1 A flowchart illustrating a control method for a garment processing device provided in this embodiment;
[0035] Figure 2 This is a schematic diagram of the structure of a control device for a garment processing equipment provided in an embodiment of the present disclosure;
[0036] Figure 3 This is a schematic diagram of the structure of a garment processing device provided in an embodiment of this disclosure. Detailed Implementation
[0037] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.
[0038] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.
[0039] The control method for the clothing processing equipment provided in this disclosure improves the accuracy of determining the drying state of the load. Since the humidity value of the load varies depending on its drying state, comparing the load's humidity value with a corresponding humidity threshold reflects the load's moisture content. Comparing multiple humidity values with the humidity threshold yields the overall moisture content of the load. When the overall moisture content of the load meets preset conditions, the corresponding drying state can be matched. This allows for setting different humidity thresholds and / or preset conditions for different drying states, thus improving the accuracy of determining the drying state of the load. Furthermore, by incorporating multiple humidity sensors within the clothing processing chamber of the equipment, and ensuring these sensors rotate synchronously with the chamber and maintain contact with the load at a certain frequency, the frequency of contact between the humidity sensors and the load is increased, facilitating accurate determination of the load's current drying state. Therefore, the control method for the clothing processing equipment provided in this disclosure improves the accuracy of determining the drying state of the load.
[0040] The control method for the garment processing equipment, the control device for the garment processing equipment, the computer-readable storage medium, and the garment processing equipment provided in this disclosure will be described exemplarily below with reference to the accompanying drawings.
[0041] Figure 1 This is a flowchart illustrating a control method for a garment processing device provided in an embodiment of this disclosure. This method is applicable to application scenarios requiring garment drying within the garment processing device. The method can be executed by a control device for the garment processing device provided in this embodiment, which can be implemented using software and / or hardware.
[0042] like Figure 1 As shown, the control of this garment processing equipment includes the following steps:
[0043] S101. Obtain the data collection dataset from multiple humidity sensors within a preset time period.
[0044] The garment processing equipment can be, for example, a dryer, a dry cleaning combo, or other equipment. Multiple humidity sensors are installed inside the garment processing chamber of the equipment. These sensors are positioned within the chamber, such as on the lifting ribs, the inner wall, or a conical cap. The humidity sensors can rotate synchronously with the garment processing chamber and maintain a certain frequency of contact with the load, thereby increasing the frequency with which the humidity sensors come into contact with the load.
[0045] Specifically, this step involves acquiring the data sets collected by multiple humidity sensors within a preset time period, i.e., acquiring multiple humidity values collected by the humidity sensors.
[0046] For example, four humidity sensors can be installed inside the garment processing chamber of the garment processing equipment. These four sensors can be located at different positions within the garment processing chamber. The data acquisition frequency of the humidity sensors can be set to, for example, 1 second, meaning that one humidity sensor can collect one humidity value per second, and the four humidity sensors can collect four humidity values per second. When the preset time is, for example, 5 seconds, the four humidity sensors can collect 20 humidity values within that preset time, forming a dataset. Thus, multiple data sets collected by the humidity sensors over a preset time period can be obtained.
[0047] The humidity sensor may be a non-contact humidity sensor. For example, a non-contact humidity sensor may include, but is not limited to, a capacitive sensor, a non-contact resistive sensor, etc.
[0048] S102. Based on the comparison results of each collected data point in the collected dataset with the humidity threshold, if the preset conditions are met, determine the drying status of the load.
[0049] The humidity threshold and / or preset conditions vary depending on the drying state.
[0050] Specifically, in this step, the collected dataset is compared with a humidity threshold. When the comparison result meets the preset conditions corresponding to the drying state of the load, the current drying state of the load can be determined.
[0051] Because the load is in different drying states, the corresponding humidity value and / or degree of drying of the load are different. Based on this, the embodiments of this disclosure set different humidity thresholds and / or preset conditions for different drying states, thereby proposing corresponding judgment conditions for the drying state of the load, which helps to improve the accuracy of judging the drying state of the load.
[0052] The specific method for determining the drying state of the load based on the comparison results of each collected data point with the humidity threshold in the collected dataset to meet preset conditions will be detailed below.
[0053] The control method for a garment processing device provided in this disclosure includes acquiring a dataset of data collected from multiple humidity sensors within a preset time period; determining the drying state of the load based on the comparison results of each acquired data point with a humidity threshold in the dataset, provided that the comparison meets preset conditions; wherein, different drying states correspond to different humidity thresholds and / or preset conditions. Since the load has different humidity values depending on its drying state, comparing the load's humidity value with the corresponding humidity threshold reflects the load's moisture content. Comparing multiple humidity values with the humidity threshold yields the overall moisture content of the load. When the overall moisture content of the load meets the preset conditions, the corresponding drying state can be matched, thus setting different humidity thresholds and / or preset conditions for different drying states, which helps improve the accuracy of determining the drying state of the load. Furthermore, by equipping the garment processing chamber of the garment processing device with multiple humidity sensors, which can rotate synchronously with the processing chamber and maintain contact with the load at a certain frequency, the frequency of the humidity sensors contacting the load is increased, facilitating accurate determination of the current drying state of the load. Therefore, the control method for the garment processing device provided in this disclosure helps improve the accuracy of determining the drying state of the load.
[0054] In some embodiments, acquiring a dataset collected from multiple humidity sensors over a preset time period includes:
[0055] Acquire the data sets collected by multiple humidity sensors within the preset time during the remaining first preset time of the drying process.
[0056] Specifically, in this embodiment, the data collected by each humidity sensor within a preset time is acquired during the remaining first preset time of the drying process. Before the drying process is about to end, the drying state of the load can be determined based on the acquired data. Accordingly, the corresponding operation can be performed based on the drying state of the load so that the load is in a completely dry state when the drying process ends.
[0057] For example, when there are 20 minutes remaining in the drying program, the humidity sensor is activated to collect data to obtain a dataset of data collected by multiple humidity sensors within a preset time period. When the drying state of the load is determined based on the above dataset, for example, to be a partially undried state as described below, increasing the compressor power and / or fan speed can improve the drying rate of the load, ensuring that the load is fully dry when the drying program ends.
[0058] In some embodiments, the drying status of the load is determined based on the comparison results of each collected data point in the collected dataset with a humidity threshold, which meet preset conditions. This includes:
[0059] Based on the fact that the number of data points with a central humidity threshold greater than the first humidity threshold is greater than the first preset number, the drying state of the load is determined to be a partially undried state.
[0060] Among them, the humidity threshold is the first humidity threshold; the preset condition is the first preset quantity.
[0061] Specifically, after acquiring data sets from multiple humidity sensors within a preset timeframe during the remaining first preset timeframe of the drying process, each humidity value in the acquired data set is compared with a first humidity threshold, and the number of humidity values greater than the first humidity threshold is recorded. Thus, the total number of data points greater than the first humidity threshold in the acquired data set can be obtained. When the total number of data points exceeds a first preset number, the drying state of the load can be determined to be a partially undried state.
[0062] For example, as mentioned above, the four humidity sensors can collect 20 humidity values within a preset time. The 20 humidity values are compared with a first humidity threshold, and the total number of data values greater than the first humidity threshold is obtained. When the total number of data values is greater than a first preset number, such as 10, it can be determined that the drying state of the load is that the load is partially undried.
[0063] Specifically, the first humidity threshold and the first preset quantity can be calibrated based on the drying state of the load, which is when the load is partially undried. In this embodiment, the first humidity threshold and the first preset quantity are not specifically limited.
[0064] In some embodiments, after determining that the drying state of the load is that the load is partially undried, the control method of the garment processing equipment further includes:
[0065] Increase compressor power and / or fan speed.
[0066] Specifically, in conjunction with the preceding text, when the drying state of the load is determined to be partially undried within the remaining first preset time of the drying program, the compressor power and / or fan speed can be increased, which is beneficial to improving the drying efficiency of the load, so that the load is fully dry when the drying program ends, thereby improving the user experience.
[0067] For example, after determining that the drying state of the load is that the load is partially undried, the user can be prompted that the current load is in a partially undried state so that the user can obtain the current drying state of the load.
[0068] In some embodiments, the drying status of the load is determined based on the comparison results of each collected data point in the collected dataset with a humidity threshold, which meet preset conditions. This includes:
[0069] Based on the fact that the number of data points with a central value greater than the second humidity threshold is greater than the second preset number, the drying state of the load is determined to be that the load is not dry inside.
[0070] Wherein, the humidity threshold is the second humidity threshold; the preset condition is the second preset quantity; the second humidity threshold is greater than or equal to the first humidity threshold; and the second preset quantity is less than the first preset quantity.
[0071] Specifically, after acquiring data sets from multiple humidity sensors within a preset timeframe during the remaining first preset time in the drying process, each humidity value in the acquired data set is compared with a second humidity threshold, and the total number of data values greater than the second humidity threshold is recorded. Thus, the total number of data values greater than the second humidity threshold in the acquired data set can be obtained. When the total number of data values exceeds a second preset number, the drying state of the load can be determined to be an internally undried state.
[0072] For example, as described above, four humidity sensors collect 20 humidity values within a preset time. The 20 humidity values are compared with a second humidity threshold to obtain the total number of values greater than the second humidity threshold. If the total number of values is greater than a second preset number, such as 5, it can be determined that the drying state of the load is that the load is not dry inside.
[0073] It should be noted that, since the load is internally undried and has a high internal humidity level, the second humidity threshold corresponding to the internally undried state is set to be greater than or equal to the first humidity threshold corresponding to the partially undried state. Furthermore, because the humidity sensor contacts the load interior less frequently when the load is internally undried, the second preset number corresponding to the internally undried state is set to be less than the first preset number corresponding to the partially undried state.
[0074] Specifically, the second humidity threshold and the second preset quantity can be calibrated based on the drying state of the load when the load is not dry inside. This embodiment does not specifically limit the second humidity threshold and the second preset quantity.
[0075] In some embodiments, after determining that the drying state of the load is that the load is partially undried, the control method of the garment processing equipment further includes:
[0076] Perform a shakeout operation.
[0077] Specifically, in conjunction with the preceding text, when the drying state of the load is determined to be that the inside of the load is not dry within the remaining first preset time of the drying program, a shaking operation can be performed on the load to reverse the inside and surface of the load, thereby improving the drying uniformity of the load so that the load is fully dried when the drying program ends, thus improving the user's practical experience.
[0078] For example, after determining that the drying status of the load is that the load is not dry inside, the user can be prompted that the load is currently not dry inside, so that the user can obtain the current drying status of the load.
[0079] In some embodiments, the drying status of the load is determined based on the comparison results of each collected data point in the collected dataset with a humidity threshold, which meet preset conditions. This includes:
[0080] Based on the fact that the number of data points in the collected dataset that are greater than the third humidity threshold is less than or equal to the third preset number, the drying status of the load is determined to be that the load is completely dry.
[0081] Among them, the humidity threshold is the third humidity threshold; the preset condition is the third preset quantity; the third humidity threshold is less than the first humidity threshold; and the third preset quantity is less than the first preset quantity.
[0082] Specifically, after acquiring the data sets collected from multiple humidity sensors within a preset time during the remaining first preset time of the drying process, each humidity value in the acquired data set is compared with a third humidity threshold, and the total number of data values greater than the third humidity threshold is recorded. Thus, the total number of data values greater than the second humidity threshold in the acquired data set can be obtained. When the total number of data values is less than or equal to the third preset number, the drying state of the load can be determined as a fully dry state.
[0083] For example, as mentioned above, four humidity sensors collect 20 humidity values within a preset time. Each of the 20 humidity values is compared with a third humidity threshold. The total number of data values greater than the third humidity threshold is obtained. If the total number of data values is less than a third preset number, such as 4, then the probability of the detected humidity value exceeding the third humidity threshold is relatively small. At this time, the drying state of the load can be determined to be that the load is completely dry.
[0084] It should be noted that since the load is in a completely dry state, its humidity value is relatively low. Therefore, the third humidity threshold corresponding to a completely dry load is set lower than the first humidity threshold corresponding to a partially humid load. Furthermore, because the probability of the humidity sensor detecting a humidity value exceeding the third humidity threshold is low when the load is completely dry, the third preset quantity corresponding to a completely dry load is set lower than the first preset quantity corresponding to a partially humid load.
[0085] Specifically, the third humidity threshold and the third preset quantity can be calibrated based on the drying state of the load when the load is completely dry. In this embodiment, the third humidity threshold and the third preset quantity are not specifically limited.
[0086] In some embodiments, acquiring the data set collected by multiple humidity sensors within a preset time period further includes: acquiring the data set collected by multiple humidity sensors within a preset time period after the drying program starts for a second preset time period.
[0087] Based on the comparison results of each collected data in the collected dataset with the humidity threshold, if the preset conditions are met, the drying status of the load is determined, including: if the number of collected data in the collected dataset that is greater than the fourth humidity threshold is less than the fourth preset number, the drying status of the load is determined to be an empty drum or a small load state.
[0088] Among them, the humidity threshold is the fourth humidity threshold; the preset condition is the fourth preset quantity; the fourth humidity threshold is less than the first humidity threshold; and the fourth preset quantity is less than the first preset quantity.
[0089] Specifically, after the drying program starts for a second preset time, data sets from multiple humidity sensors within a preset time period are acquired. For example, data sets from multiple humidity sensors within a preset time period are acquired 1 minute after the drying program starts (the second preset time). Each humidity value in the acquired data set is compared with a fourth humidity threshold, and the total number of data points with humidity values greater than the fourth humidity threshold is recorded. Thus, the total number of data points in the acquired data set that are greater than the fourth humidity threshold can be obtained. When the total number of data points is less than a fourth preset number, the drying state of the load can be determined to be either an empty drum or a low-load state.
[0090] For example, as mentioned above, four humidity sensors collect 20 humidity values within a preset time. The 20 humidity values are compared with a fourth humidity threshold to obtain the total number of data values greater than the fourth humidity threshold. If the total number of data values is less than a third preset number, such as 3, the probability of the detected humidity value exceeding the fourth humidity threshold is relatively small. At this time, it can be determined that the drying state of the load is an empty drum or a small load state.
[0091] For example, after determining that the drying state of the load is empty or lightly loaded, the user can be notified that the current load is empty or lightly loaded. If the drying state is determined to be lightly loaded, a drying program suitable for lightly loaded conditions can be recommended to the user.
[0092] It should be noted that, since the load is in an empty or lightly loaded state, the humidity value detected by the humidity sensor is essentially the empty load value, which corresponds to a lower humidity level. Therefore, the fourth humidity threshold for an empty or lightly loaded state is set lower than the first humidity threshold for a partially undried state. Furthermore, because the probability of the humidity sensor detecting a value exceeding the fourth humidity threshold is low when the load is empty or lightly loaded, the fourth preset quantity for an empty or lightly loaded state is set lower than the first preset quantity for a partially undried state.
[0093] Specifically, the fourth humidity threshold and the fourth preset quantity can be calibrated according to the drying state of the load, which is an empty drum or a small load. This embodiment does not specifically limit the fourth humidity threshold and the fourth preset quantity.
[0094] In some implementations, the drying state of the load is determined to be that the load is in a fully humid state based on the fact that the centrally collected data of the collected dataset meets a preset condition (the number of centrally collected data that is greater than the fifth humidity threshold is greater than the fifth preset number); wherein, the fifth humidity threshold is greater than the first humidity threshold; and the fifth preset number is greater than the first preset number.
[0095] To improve the accuracy of determining the drying state of the load, the drying state of the load can be determined according to the priority of the load being fully wet, internally undried, partially undried, fully dry, and empty.
[0096] For example, after acquiring the data set, it is first determined whether the data in the data set meets the preset conditions corresponding to the load being in a fully moist state. If it does, the load is determined to be in a fully moist state. If not, it is determined whether the data in the data set meets the preset conditions corresponding to the load being in an internally undried state. If it does, the load is determined to be in an internally undried state. If not, it is determined whether the data in the data set meets the preset conditions corresponding to the load being in a partially undried state. If it does, the load is determined to be in a partially undried state. If not, it is determined whether the data in the data set meets the preset conditions corresponding to the load being in a fully dry state. If it does, the load is determined to be in a fully dry state. If not, it is determined whether the data in the data set meets the preset conditions corresponding to the load being in an empty drum state. The preset conditions corresponding to different drying states of the load are detailed above and will not be repeated here.
[0097] In some embodiments, when setting preset conditions corresponding to different drying states of the load, the present disclosure can set conditions to determine that the load belongs to the same material, so as to improve the accuracy of determining the drying state of the load.
[0098] In some embodiments, before determining the drying state of the load based on the comparison results of each collected data point in the collected dataset with a humidity threshold meeting preset conditions, the control method of the garment processing equipment further includes:
[0099] Remove the humidity sensor data that corresponds to the data whose comparison results with the humidity threshold in the collected dataset meet the preset conditions the most and / or the fewest.
[0100] Specifically, during the drying process, the humidity sensors installed inside the garment processing chamber rotate synchronously with the chamber. It's possible that a particular humidity sensor remains in constant contact with a fixed position on the load, causing the humidity value detected by that sensor to remain consistently high or low. This results in either the highest or lowest number of humidity values that meet preset conditions. Because the humidity sensor remains in constant contact with the fixed position on the load, the detected humidity value cannot accurately reflect the overall drying status of the load.
[0101] To accurately determine the drying status of the load, the humidity sensor needs to contact different positions of the load to detect the humidity value at different positions, thereby improving the accuracy of determining the drying status of the load based on the humidity value.
[0102] Based on this, before determining the drying state of the load based on the comparison results of each collected data in the collected dataset with the humidity threshold meeting the preset conditions, the sensor data corresponding to the data with the most and / or fewest comparison results of each collected data in the collected dataset meeting the preset conditions is removed. This is equivalent to removing unreliable data (error data) and retaining reliable data, so as to improve the accuracy of determining the drying state of the load by humidity value.
[0103] Based on the same inventive concept, this disclosure also provides a control device for a garment processing apparatus. Multiple humidity sensors are installed within the garment processing chamber of the garment processing apparatus. This control device is used to execute the steps of any of the control methods for garment processing apparatuses provided in the above embodiments, achieving the corresponding beneficial effects.
[0104] Figure 2 This is a schematic diagram of the structure of a control device for a garment processing apparatus provided in an embodiment of this disclosure. Figure 2 As shown, the control device of the clothing processing equipment includes: an acquisition module 21, used to acquire a data set collected by multiple humidity sensors within a preset time; and a determination module 22, used to determine the drying state of the load based on the comparison results of each acquired data in the data set with a humidity threshold, which meet preset conditions; wherein, the humidity threshold and / or preset conditions corresponding to different drying states are different.
[0105] The control device for the garment processing equipment provided in the above embodiments can execute the control methods for the garment processing equipment provided in the above embodiments, and has the same or corresponding beneficial effects, which will not be described in detail here.
[0106] This disclosure also provides a storage medium that stores a program or instructions that cause a computer to execute the steps of the control method for any of the garment processing devices provided in the above embodiments.
[0107] For example, a program or instructions cause a computer to execute a method for controlling a garment processing device, the method comprising:
[0108] Acquire the data collected from multiple humidity sensors within a preset time period;
[0109] Based on the comparison results between each collected data point and the humidity threshold in the collected dataset, if the preset conditions are met, the drying status of the load is determined.
[0110] The humidity threshold and / or preset conditions vary depending on the drying state.
[0111] In some embodiments, when executed by a computer processor, the computer-executable instructions can also be used to execute the technical solution of the control method of any of the above-described garment processing devices provided in the embodiments of this disclosure, so as to achieve the corresponding beneficial effects.
[0112] Based on the above description of the implementation methods, those skilled in the art can clearly understand that this disclosure can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the control method of the clothing processing device described in the various embodiments of this invention.
[0113] Based on the above embodiments, this disclosure also provides a clothing processing device, which may be a dryer or other similar device, and is not limited thereto.
[0114] Figure 3 This is a schematic diagram of the structure of a garment processing device provided in an embodiment of this disclosure. Figure 3As shown, the garment processing device includes a processor 601 and a memory 602. The processor 601 executes the steps of the methods described in the above embodiments by calling the programs or instructions stored in the memory 602, thus possessing the beneficial effects of the above embodiments, which will not be repeated here.
[0115] Specifically, such as Figure 3 As shown, a garment handling device may be configured to include at least one processor 601, at least one memory 602, and at least one communication interface 603. The various components in the garment handling device are coupled together via a bus system 606. The communication interface 603 is used for information transmission with external devices. It is understood that the bus system 606 is used to implement communication between these components. In addition to a data bus, the bus system 606 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in… Figure 3 The general designated all buses as Bus System 606.
[0116] It is understood that the memory 602 in this embodiment may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. In some embodiments, the memory 602 stores elements such as executable units or data structures, or subsets thereof, or extended sets thereof, operating systems, and applications. In embodiments of this disclosure, the processor 601 executes the steps of the various embodiments of the methods provided in this disclosure by invoking programs or instructions stored in the memory 602.
[0117] The method provided in this disclosure can be applied to or implemented by processor 601. Processor 601 can be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by integrated logic circuits in the hardware of processor 601 or by instructions in software form. The processor 601 can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor.
[0118] The steps of the method provided in this disclosure can be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software units in the decoding processor. The software units can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other storage media mature in the art. This storage medium is located in memory 602, and processor 601 reads information from memory 602 and combines it with its hardware to complete the steps of the method.
[0119] The garment processing device may further include one or more physical components to execute instructions generated by the processor 601 when performing the methods provided in this embodiment. Different physical components may be located within or outside the garment processing device, such as a cloud server. Each physical component, in conjunction with the processor 601 and the memory 602, implements the functions of the garment processing device in this embodiment.
[0120] In other embodiments, the garment processing device may also include a control panel, a drive motor, and other structural and functional components known to those skilled in the art, which are not described in detail or limited herein.
[0121] It should be noted that, in this document, relational terms such as "first" and "second" are used merely 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 apparatus 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 apparatus. 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 apparatus that includes said element.
[0122] The above description is merely a specific embodiment of this disclosure, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this disclosure. Therefore, this disclosure is not to be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A control method for a garment processing device, characterized in that, The garment processing equipment is equipped with multiple humidity sensors inside the garment processing chamber, and the control method includes: Acquire the data collected from multiple humidity sensors within a preset time period; Based on the comparison results between each collected data point and the humidity threshold in the collected dataset, if the preset conditions are met, the drying status of the load is determined. The humidity threshold and / or preset conditions vary depending on the drying state.
2. The control method for the garment processing equipment according to claim 1, characterized in that, The acquisition of the data set collected from multiple humidity sensors within a preset time period includes: Acquire the data sets collected by multiple humidity sensors within the preset time during the remaining first preset time of the drying process.
3. The control method for the garment processing equipment according to claim 2, characterized in that, The process of determining the drying status of the load based on the comparison results of each collected data point in the collected dataset with a humidity threshold meeting preset conditions includes: Based on the fact that the number of data points in the collected dataset that are greater than the first humidity threshold is greater than the first preset number, the drying state of the load is determined to be a partially undried state. Wherein, the humidity threshold is a first humidity threshold; the preset condition is a first preset quantity.
4. The control method for the garment processing equipment according to claim 3, characterized in that, The process of determining the drying status of the load based on the comparison results of each collected data point in the collected dataset with a humidity threshold meeting preset conditions includes: Based on the fact that the number of data points in the collected dataset that are greater than the second humidity threshold is greater than the second preset number, the drying state of the load is determined to be that the load is not dry inside. Wherein, the humidity threshold is a second humidity threshold; the preset condition is a second preset quantity; the second humidity threshold is greater than or equal to the first humidity threshold; and the second preset quantity is less than the first preset quantity.
5. The control method for the garment processing equipment according to claim 3, characterized in that, The process of determining the drying status of the load based on the comparison results of each collected data point in the collected dataset with a humidity threshold meeting preset conditions includes: Based on the fact that the number of data points in the collected dataset that are greater than the third humidity threshold is less than or equal to the third preset number, the drying state of the load is determined to be that the load is completely dry. Wherein, the humidity threshold is a third humidity threshold; the preset condition is a third preset quantity; the third humidity threshold is less than the first humidity threshold; and the third preset quantity is less than the first preset quantity.
6. The control method for the garment processing equipment according to claim 3, characterized in that, After determining that the drying state of the load is that it is partially undried, the following steps are also included: Increase compressor power and / or fan speed.
7. The control method for the garment processing equipment according to claim 4, characterized in that, After determining that the drying state of the load is that it is partially undried, the following steps are also included: Perform a shakeout operation.
8. The control method for the garment processing equipment according to claim 3, characterized in that, The method of acquiring the data set collected by multiple humidity sensors within a preset time period also includes: acquiring the data set collected by multiple humidity sensors within a preset time period after the drying program starts for a second preset time period. The process of determining the drying state of the load based on the comparison results of each collected data in the collected dataset with the humidity threshold meeting preset conditions includes: determining the drying state of the load as an empty drum or a small load state based on the fact that the number of collected data in the collected dataset that is greater than the fourth humidity threshold is less than the fourth preset number. Wherein, the humidity threshold is a fourth humidity threshold; the preset condition is a fourth preset quantity; the fourth humidity threshold is less than the first humidity threshold; and the fourth preset quantity is less than the first preset quantity.
9. The control method for the garment processing equipment according to claim 1, characterized in that, Before determining the drying status of the load based on the comparison results of each collected data point in the collected dataset with the humidity threshold meeting preset conditions, the following steps are included: Remove the sensor data that corresponds to the largest and / or smallest number of comparison results between each collected data and the humidity threshold in the collected dataset.
10. A garment processing device, characterized in that, include: The device includes a memory and a processor, wherein the processor executes the steps of the control method for the garment handling apparatus as described in any one of claims 1-9 by invoking programs or instructions stored in the memory.