Control method of clothing processing system and clothing processing system

By introducing two recommendation logics into the clothing processing system, clothing processing programs are automatically recommended based on scenarios and usage information. This solves the problem of the single recommendation logic in existing technologies, achieving more efficient clothing processing results and a more user-friendly operating experience.

CN115897124BActive Publication Date: 2025-10-28QINGDAO JIAONAN HAIER WASHING MACHINE CO LTD +1
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Patent Information

Application Number
CN202111004166.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-08-30
Publication Date
2025-10-28
Estimated Expiration
2041-08-30

AI Technical Summary

Technical Problem

Existing garment processing devices have simplistic program recommendation logic, complex user operations, and low adaptability of recommended programs to usage needs or environments, resulting in poor garment processing effects.

Method used

The clothing processing system employs two recommendation logics: one is based on a matching program for specific operating scenarios, and the other is based on a usage information generation program. It combines seasonality, weather, water quality, and user clothing information for comprehensive analysis to automatically recommend clothing processing programs.

Benefits of technology

It improves the applicability and intelligence of the garment processing program, simplifies user operation, and enhances the matching degree of garment processing results and user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention belongs to the field of clothing processing technology and discloses a control method and a clothing processing system. The control method includes: receiving a signal that the clothing processing device is turned on; acquiring the operating scenario of the clothing processing device and determining whether it is a special operating scenario; if it is a special operating scenario, obtaining a recommended clothing processing program according to a first recommendation logic; otherwise, obtaining a recommended clothing processing program according to a second recommendation logic; the first recommendation logic is to match the clothing processing program according to the special operating scenario, and the second recommendation logic is to generate the clothing processing program based on usage information. In this invention, a clothing processing program can be proactively recommended to the user when the clothing processing device is turned on, eliminating the need for the user to manually set the clothing processing program or actively interact to obtain a recommended program. Furthermore, by setting two different recommendation logics and automatically selecting one for program recommendation, the applicability of the clothing processing program is improved.
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Description

Technical Field

[0001] This invention belongs to the field of clothing processing technology, specifically, it relates to a control method for a clothing processing system and a clothing processing system. Background Technology

[0002] With the advancement of technology and the accelerated pace of life, fully automatic washing machines, dryers, and other clothing processing devices have become increasingly common in households, freeing people from heavy housework. In recent years, with continuous technological progress, the intelligence level of clothing processing devices has also been continuously improving, and the clothing processing programs available to users have become more diversified.

[0003] However, while the diverse range of garment processing programs meets users' complex garment handling needs, it also brings certain inconveniences. For example, when users need to choose from a large number of programs, they may not be able to determine which garment processing program is more suitable for them. Sometimes, using the wrong program may lead to damage to garments, increased water and electricity consumption, and an increase in bacteria inside the garment processing device.

[0004] To improve the efficiency and convenience of users selecting garment processing programs, some garment processing devices offer a program recommendation function, suggesting programs based on the user's garment processing needs. However, most current garment processing devices require active user interaction to obtain user requirements before making recommendations. While this provides more suitable garment processing programs, its effect on simplifying user operation is quite limited. Furthermore, the program recommendation logic of most garment processing devices is relatively simple. When user needs or the operating environment of the garment processing device are complex, the recommended garment processing program may have poor compatibility with the needs or operating environment, failing to achieve the desired garment processing results.

[0005] In view of this, the present invention is hereby proposed. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a control method and a clothing processing system that can actively recommend clothing processing programs to users when the clothing processing device is turned on, and automatically control the selection of one of two different recommendation logics for program recommendation, so that the recommended clothing processing program has better applicability.

[0007] To solve the above-mentioned technical problems, the basic concept of the technical solution adopted by the present invention is as follows:

[0008] A control method for a garment handling system, the control method comprising:

[0009] Receives the signal indicating that the garment processing device is turned on;

[0010] Obtain the operating scenario of the clothing processing device and determine whether it is a special operating scenario;

[0011] If it is a special operating scenario, the recommended clothing processing procedure is obtained according to the first recommendation logic; otherwise, the recommended clothing processing procedure is obtained according to the second recommendation logic.

[0012] The first recommendation logic matches the clothing processing program according to the specific operating scenario, and the second recommendation logic generates the clothing processing program based on the usage information.

[0013] Furthermore, the clothing processing system pre-sets clothing processing procedures corresponding to special operating scenarios, and under the first recommendation logic, recommends clothing processing procedures corresponding to the special operating scenarios;

[0014] Preferably, after receiving the user's confirmation instruction, a control command is sent to the garment processing device to control the garment processing device to run the recommended garment processing program.

[0015] Furthermore, the garment processing system pre-sets a first recommendation list that corresponds one-to-one with special operating scenarios, and the first recommendation list includes at least two garment processing programs arranged in sequence;

[0016] Under the first recommendation logic, the clothing processing system retrieves the first recommendation list corresponding to the special operating scenario and recommends clothing processing programs according to the order of the clothing processing programs in the first recommendation list;

[0017] If a user's confirmation instruction is received, a control command is sent to the clothing processing device to control the clothing processing device to run the currently recommended clothing processing program; if a user's rejection instruction is received, the next clothing processing program in the first recommended list is recommended.

[0018] Preferably, the clothing processing system records the number of times a rejection instruction is received. When the number of rejection instructions reaches a first preset number, the recommendation process stops, and the system waits for the user to set the clothing processing procedure.

[0019] Furthermore, in the second recommendation logic, the information used includes current season information or weather information, and / or the user's clothing information, and / or the water quality information of the current location;

[0020] The process of generating clothing processing procedures based on usage information includes:

[0021] Generate a clothing processing procedure that matches the current seasonal or weather information;

[0022] And / or, generate a clothing processing program that matches the user's clothing information;

[0023] And / or, obtain the values ​​of clothing processing procedure parameters that match the water quality information at the current location.

[0024] Furthermore, the clothing processing procedure recommended based on the second recommendation logic includes the following steps:

[0025] S1. Analyze seasonal or weather information and clothing information to obtain clothing processing procedures that match the seasonal or weather information and clothing information, and determine them as clothing processing procedures to be recommended.

[0026] S2. Adjust the parameters of the recommended clothing treatment procedure based on the water quality information;

[0027] S3. Recommend the clothing processing procedure after adjusting the parameters;

[0028] Preferably, step S3 is followed by step S4: receiving a confirmation instruction from the user and sending a control command to the garment processing device to control the garment processing device to run the recommended garment processing program.

[0029] Further, step S1 includes:

[0030] S11. Analyze the seasonal information or weather information and clothing information to obtain at least two clothing processing programs that match the seasonal information or weather information and clothing information.

[0031] S12. Compare the usage frequency of at least two clothing processing procedures obtained in step S11, and determine the clothing processing procedure with the highest usage frequency as the clothing processing procedure to be recommended.

[0032] Further, step S11 includes:

[0033] S111. Based on seasonal information or weather information and clothing information, obtain multiple clothing processing procedures that match the seasonal information or weather information and clothing information.

[0034] S112. Divide multiple clothing processing programs into a first group of programs that are greater than or equal to a preset value and a second group of programs that are less than a preset value according to the degree of matching. The second group of programs are arranged in order of matching degree from high to low.

[0035] Step S12 includes: arranging the first group of programs in step S112 in descending order of usage frequency, forming a second recommendation list by combining the first group of programs with the second group of programs in the order of the first group of programs first, and determining the first clothing processing program in the second recommendation list as the clothing processing program to be recommended.

[0036] Furthermore, in step S4, if a user's rejection instruction is received, the next clothing processing procedure after the rejected clothing processing procedure in the second recommendation list is determined as the clothing processing procedure to be recommended, and the process returns to step S2.

[0037] Preferably, the clothing processing system records the number of times a rejection instruction is received. When the number of rejection instructions received reaches a second preset number, the recommendation process stops and waits for the user to set the clothing processing program. Otherwise, the system continues to determine the clothing processing program to be recommended according to the second recommendation list.

[0038] Another object of the present invention is a garment handling system, comprising:

[0039] The communication module is used to receive the signal that the garment processing device is turned on;

[0040] The processing module is used to obtain the operating scenario of the clothing processing device and determine whether it is a special operating scenario;

[0041] The first recommendation module is used to obtain recommended clothing processing procedures based on the first recommendation logic under special operating scenarios;

[0042] The second recommendation module is used to obtain recommended clothing processing procedures based on the second recommendation logic under non-special operating scenarios;

[0043] The first recommendation logic matches the clothing processing program according to the specific operating scenario, and the second recommendation logic generates the clothing processing program based on the usage information.

[0044] Furthermore, it also includes:

[0045] The interaction module is used to recommend clothing processing procedures obtained from the first recommendation module and the second recommendation module, and to receive confirmation or rejection instructions from the user.

[0046] The processing module is also used to control the communication module to send a control command to the clothing processing device after the interaction module receives the confirmation instruction, so as to control the clothing processing device to run the recommended clothing processing program.

[0047] Preferably, the first recommendation module is used to retrieve the corresponding first recommendation list according to the specific operating scenario, and send it to the interaction module for recommendation according to the order of the clothing processing programs in the first recommendation list;

[0048] The processing module is also used to control the first recommendation module to send the next clothing item processing program in the first recommendation list to the interaction module after the interaction module receives the rejection instruction;

[0049] And / or, the second recommendation module includes:

[0050] The program generation submodule is used to analyze the current seasonal or weather information and / or the user's clothing information to obtain multiple clothing processing programs that match the seasonal or weather information and / or clothing information.

[0051] The sorting submodule receives multiple clothing processing programs obtained from the program generation submodule, arranges the clothing processing programs according to the degree of matching and / or usage frequency to obtain a second recommendation list, and sends the clothing processing programs to the parameter adjustment submodule in the order of the second recommendation list.

[0052] The parameter adjustment submodule receives the clothing processing program sent by the sorting submodule, adjusts the parameters in it according to the water quality information of the current location, and sends the clothing processing program with adjusted parameters to the interaction module for recommendation.

[0053] The processing module is also used to control the sorting submodule to send the next clothing item processing program in the second recommendation list to the parameter adjustment submodule after the interaction module receives the rejection instruction.

[0054] By adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art.

[0055] In this invention, the garment processing system automatically recommends garment processing programs to the user after the garment processing device is turned on, eliminating the need for the user to manually set the program or actively interact with the device to obtain a recommended one, thus improving user efficiency. Furthermore, the system employs two different recommendation logics, automatically selecting one based on the device's operating scenario, resulting in a high degree of intelligence and more suitable garment processing programs.

[0056] In this invention, the clothing processing system pre-sets clothing processing programs corresponding to specific operating scenarios, directly retrieving them when recommending programs. This approach is simple in logic and highly efficient in computation. Each specific operating scenario corresponds to a first recommendation list containing at least two sequentially arranged clothing processing programs. If the user rejects a recommended program, the system can continue to recommend the next recommended program, providing the user with more choices.

[0057] In this invention, under the second recommendation logic, the clothing processing system can comprehensively analyze the current seasonal or weather information, as well as the user's clothing information, and compare the usage frequency of different clothing processing programs to determine the clothing processing program to be recommended. It can also adjust the parameters in the clothing processing program according to the water quality information of the current location, thereby improving the matching degree between the recommended clothing processing program and the user's needs and the working environment of the clothing processing device, and thus improving the clothing processing effect.

[0058] The specific embodiments of the present invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

[0059] The accompanying drawings, as part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments and descriptions of the invention are used to explain the invention, but do not constitute an undue limitation of the invention. Obviously, the drawings described below are merely some embodiments, and those skilled in the art can obtain other drawings based on these drawings without creative effort. In the drawings:

[0060] Figure 1 This is a flowchart of the control method of the clothing processing system in Embodiment 1 of the present invention;

[0061] Figure 2 This is a flowchart of a further control method for the clothing processing system in Embodiment 1 of the present invention;

[0062] Figure 3 This is a flowchart of the clothing recommendation process based on the second recommendation logic in Embodiment 1 of the present invention.

[0063] It should be noted that these accompanying drawings and textual descriptions are not intended to limit the scope of the invention in any way, but rather to illustrate the concept of the invention to those skilled in the art by referring to specific embodiments. Detailed Implementation

[0064] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the accompanying drawings. The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0065] Example 1

[0066] like Figure 1 As shown, the control method of the garment handling system described in this embodiment includes:

[0067] Receives the signal indicating that the garment processing device is turned on;

[0068] Obtain the operating scenario of the clothing processing device and determine whether it is a special operating scenario;

[0069] If it is a special operating scenario, the recommended clothing processing procedure is obtained according to the first recommendation logic; otherwise, the recommended clothing processing procedure is obtained according to the second recommendation logic.

[0070] The first recommendation logic matches the clothing processing program according to the specific operating scenario, and the second recommendation logic generates the clothing processing program based on the usage information.

[0071] In this embodiment, the clothing processing device includes, but is not limited to, washing machines, dryers, washer-dryer combos, etc. Correspondingly, the clothing processing program can be a washing program or a drying program, etc.

[0072] In the above solution, the garment processing system can automatically recommend garment processing programs to the user after the garment processing device is turned on, eliminating the need for the user to manually set the garment processing program or actively interact with the garment processing device to obtain a recommended program, thus improving the user's operating efficiency. Furthermore, the garment processing system sets up two different recommendation logics, automatically selecting one logic based on the operating scenario of the garment processing device to recommend a program. This high level of intelligence ensures that the recommended program is more suitable for the user's current needs.

[0073] Specifically, the clothing processing system in this embodiment includes at least a clothing processing device with IoT functionality, a cloud server communicatively connected to the clothing processing device, and a smart terminal, such as a mobile phone, that can remotely control the clothing processing device via the cloud server. The cloud server establishes user information models for different user accounts. These user information models include the user's location, local weather conditions, local water quality, frequently used programs, clothing information in the virtual wardrobe, and information such as program parameters, clothing weight, water consumption, and power consumption for each run. Each time the clothing processing device is powered on, the cloud server sends a recommended clothing processing program to the smart terminal based on the corresponding user information model. The smart terminal displays the received clothing processing program and sends control commands to control the clothing processing device based on user operations.

[0074] The first recommendation logic in this embodiment is as follows.

[0075] The clothing processing system pre-sets clothing processing procedures corresponding to specific operating scenarios. Under the first recommendation logic, it recommends clothing processing procedures corresponding to the specific operating scenarios.

[0076] Preferably, after receiving the user's confirmation instruction, a control command is sent to the garment processing device to control the garment processing device to run the recommended garment processing program.

[0077] In the above solution, the clothing processing system has a pre-set clothing processing program corresponding to the special operating scenario. When recommending a program, it can be directly called. The logic is simple and the calculation efficiency is high.

[0078] Taking a washing machine as an example, the clothing processing system determines the current operating scenario, "winter-spring transition period," based on the user's location information. It then retrieves and recommends the "down program," the corresponding washing program for this period, based on the first recommendation logic. If the current operating scenario is "spring-summer transition period," the system retrieves and recommends the "wool program," the corresponding washing program for this period, based on the first recommendation logic.

[0079] If the clothing processing system determines that the user is currently in a special operating scenario, "medium / high-risk area (near) of the epidemic", based on the user's location information, it will retrieve and recommend the "ultraviolet sterilization program" corresponding to "medium / high-risk area (near) of the epidemic" according to the first recommendation logic.

[0080] After obtaining the recommended clothing processing program on their smart device, users can confirm its correctness by issuing a confirmation command directly on the device. The smart device will then send a control command to the cloud server to "run the current clothing processing program," which in turn sends the command to the clothing processing device, initiating its operation. Throughout the entire process, the user only needs to turn on the clothing processing device and confirm the process on the smart device; the device will then begin running the appropriate clothing processing program for the current scenario, significantly simplifying the user's operation.

[0081] like Figure 2 As shown, in a further embodiment, the clothing processing system pre-sets a first recommendation list that corresponds one-to-one with a specific operating scenario. The first recommendation list includes at least two clothing processing programs arranged in sequence.

[0082] Under the first recommendation logic, the clothing processing system retrieves the first recommendation list corresponding to the special operating scenario and recommends clothing processing programs according to the order of the clothing processing programs in the first recommendation list.

[0083] If a confirmation instruction is received from the user, a control command is sent to the garment processing device to control the device to run the currently recommended garment processing procedure. If a rejection instruction is received from the user, the device continues to recommend the next garment processing procedure from the first recommended list.

[0084] In detail, taking the special operating scenario of the washing machine, "medium / high-risk area (near) of the epidemic", as an example, the clothing processing system presets a first recommended list corresponding to this scenario, which includes "hot wash program", "ultraviolet sterilization program", and "steam wash program" in sequence. After the washing machine is turned on, if it determines that it is currently in the special operating scenario of "medium / high-risk area (near) of the epidemic", it will prioritize recommending the "hot wash program" and display it through the smart terminal.

[0085] If the user confirms via the smart terminal, a control command is sent to control the washing machine to run the hot wash program. If there are clothes that are not heat-resistant or that are prone to color bleeding at high temperatures among the clothes to be washed, the user can use the smart terminal to issue a rejection command. The smart terminal will then send the rejection command to the cloud server, and the cloud server will then send the "ultraviolet sterilization program" following the "hot wash program" to the smart terminal for display and recommendation.

[0086] If the user confirms via smart terminal, a control command is sent to control the washing machine to run the UV sterilization program. If the user refuses again, the "steam wash program" will be recommended.

[0087] In the above scheme, the clothing processing system pre-sets at least two corresponding clothing processing programs for each specific operating scenario, and arranges them in a certain order to form a first recommendation list. Users can choose to accept or reject the recommended clothing processing programs according to their actual needs. When a user rejects a recommended clothing processing program, the system can continue to recommend the next clothing processing program in the first recommendation list, thus providing users with more choices.

[0088] In a preferred embodiment, the clothing processing system records the number of times a rejection instruction is received. When the number of rejection instructions reaches a first preset number, the recommendation process is stopped, and the system waits for the user to set the clothing processing procedure.

[0089] For example, the first preset number of times is set to two. In the example of the special operating scenario of the washing machine mentioned above, "medium / high-risk area during the epidemic (nearby)," the "hot wash program" is recommended first. If a user's rejection instruction is received, the "ultraviolet sterilization program" is then recommended. If another rejection instruction is received at this time, the number of rejection instructions received has reached two, and the "steam wash program" is no longer recommended. Instead, an interface for setting the clothing treatment program is displayed on the smart terminal, waiting for the user to manually set the clothing treatment program.

[0090] The above method limits the number of recommended clothing processing programs. When the number of rejections reaches a certain value, the recommendation will automatically stop, avoiding endless recommendations of clothing processing programs in special circumstances without ever finding a program that meets the user's needs.

[0091] The second recommendation logic in this embodiment is as follows.

[0092] In the second recommendation logic, the information used includes current season information or weather information, and / or the user's clothing information, and / or the water quality information of the current location.

[0093] The process of generating clothing processing procedures based on usage information includes:

[0094] Generate a clothing processing procedure that matches the current seasonal or weather information;

[0095] And / or, generate a clothing processing program that matches the user's clothing information;

[0096] And / or, obtain the values ​​of clothing processing procedure parameters that match the water quality information at the current location.

[0097] Specifically, taking a washing machine as an example, after the washing machine is turned on, it determines that the current operating scenario is not special, that is, it obtains usage information to generate a recommended clothing processing program. For example, if the obtained seasonal information is winter, or the obtained weather information indicates that the temperature is low or the humidity is high, then a washing program with a drying function after washing is recommended.

[0098] Users can create a virtual wardrobe in the clothing processing system and record clothing information therein. This clothing information refers to the clothing information in the virtual wardrobe associated with the user account linked to the washing machine. The clothing information includes at least one of the following: material information, color information, and style information. The clothing processing system can generate suitable washing programs and make recommendations based on the material information, and / or color information, and / or style information.

[0099] Furthermore, the virtual wardrobe is linked to the user's physical wardrobe at home, and can also record the retrieval / storage status of clothing in the physical wardrobe. The clothing processing system analyzes the clothing information corresponding to clothing marked as retrieved and generates a matching laundry program. The laundry to be washed will definitely not include clothing still stored in the physical wardrobe; only the clothing information corresponding to clothing marked as retrieved will be analyzed, resulting in a better match between the generated laundry program and the actual situation of the laundry to be washed.

[0100] Alternatively, the clothing information in the virtual wardrobe may also include the previous wash time of each garment. The clothing processing system analyzes the clothing information corresponding to garments whose previous wash time is greater than a preset interval, and generates a matching laundry program. Clothes washed in a short period of time are generally not included in the current laundry load; only the clothing information corresponding to garments that have not been washed for a long time is analyzed, which can also yield a laundry program with a good match to the actual situation. Preferably, different types of clothing may have different optimal washing intervals. The clothing processing system sets different preset interval values ​​for each garment, which helps to further improve the matching degree between the recommended laundry program and the actual laundry load.

[0101] The parameters for matching water quality information to the laundry program (i.e., the laundry treatment program) include adjusting the dosage of detergent, fabric softener, and other laundry treatment agents based on water hardness. Water hardness reflects the total concentration of calcium and magnesium ions in the water; the higher the water hardness, the higher the ion concentration. Hard water may react with the added laundry treatment agents, producing substances that are insoluble in water, thus reducing the actual concentration of the laundry treatment agents and affecting the washing effect. In this embodiment, after obtaining the water quality information of the current location (i.e., the user's region), if the water hardness is high, the dosage of laundry treatment agents in the laundry program can be appropriately increased before making recommendations. Conversely, if the water hardness is low, the dosage of laundry treatment agents in the laundry program can be appropriately reduced before making recommendations, thereby saving the amount of laundry treatment agents used.

[0102] like Figure 2 and Figure 3 As shown, in this embodiment, the recommended clothing processing procedure based on the second recommendation logic specifically includes the following steps:

[0103] S1. Analyze seasonal or weather information and clothing information to obtain clothing processing procedures that match the seasonal or weather information and clothing information, and determine them as clothing processing procedures to be recommended.

[0104] S2. Adjust the parameters of the recommended clothing treatment procedure based on the water quality information;

[0105] S3. Recommend the clothing processing procedure after adjusting the parameters.

[0106] Preferably, step S3 is followed by step S4: receiving a confirmation instruction from the user and sending a control command to the clothing processing device to control the clothing processing device to run the currently recommended clothing processing program.

[0107] Specifically, a positioning module is installed on the clothing processing device or smart terminal. This module can obtain the user's location and then connect to a cloud server to query seasonal or weather information, as well as water quality information for that area. Taking a washing machine as an example, after obtaining seasonal or weather information, the clothing processing system combines this information with clothing information recorded in a virtual wardrobe for comprehensive analysis. This analysis yields a washing program suitable for the current season or weather and applicable to clothing with the aforementioned clothing information, which is then identified as the recommended washing program.

[0108] Then, based on the acquired water quality information, some parameters in the washing program, such as the detergent dosage, are adjusted. This information is then sent to the smart terminal for display and recommendation to the user. The user can directly view the recommended washing program on the smart terminal and confirm it by operating the terminal to control the washing machine to run the recommended washing program.

[0109] In the above scheme, the clothing processing system can comprehensively analyze the current seasonal or weather information, as well as the user's clothing information, to determine the recommended clothing processing program. It can also adjust the parameters in the clothing processing program based on the water quality information of the current location, thereby improving the matching degree between the recommended clothing processing program and the user's needs and the working environment of the clothing processing device, and thus improving the clothing processing effect.

[0110] In a further embodiment, step S1 includes:

[0111] S11. Analyze the seasonal information or weather information and clothing information to obtain at least two clothing processing programs that match the seasonal information or weather information and clothing information.

[0112] S12. Compare the usage frequency of at least two clothing processing procedures obtained in step S11, and determine the clothing processing procedure with the highest usage frequency as the clothing processing procedure to be recommended.

[0113] Specifically, taking a washing machine as an example, in this embodiment, the cloud server also records the washing program and its running time each time the washing machine runs, forming a washing machine operation record. A first set of multiple washing programs is obtained based on seasonal or weather information, and a second set of multiple washing programs is obtained based on clothing information. The first and second sets are compared, and two washing programs belonging to the intersection of the first and second sets are selected. Then, based on the frequently used program information in the washing machine operation record, i.e., the usage frequency of each washing program, the two previously obtained washing programs are compared, and the washing program with the higher usage frequency is selected as the recommended washing program. After adjusting the parameters based on water quality information, it can be sent to the smart terminal for recommendation.

[0114] When recommending apps, users' frequently used apps are also taken into account. When multiple matching apps are available, the app with higher usage frequency is given priority. The recommended app is more in line with the user's habits and provides a better user experience.

[0115] In this embodiment, step S11 further includes:

[0116] S111. Based on seasonal information or weather information and clothing information, obtain multiple clothing processing procedures that match the seasonal information or weather information and clothing information.

[0117] S112. Divide multiple clothing processing programs into a first group of programs with a matching degree greater than or equal to a preset value and a second group of programs with a matching degree less than a preset value. The second group of programs are arranged in descending order of matching degree.

[0118] Step S12 includes: arranging the first group of programs in step S112 in descending order of usage frequency, forming a second recommendation list by combining the first group of programs with the second group of programs in the order of the first group of programs first, and determining the first clothing processing program in the second recommendation list as the clothing processing program to be recommended.

[0119] Furthermore, in step S4, if a user's rejection instruction is received, the next clothing processing procedure after the rejected clothing processing procedure in the second recommendation list is determined as the clothing processing procedure to be recommended, and the process returns to step S2.

[0120] In the above scheme, similar to the first recommendation logic, the second recommendation logic also forms a recommendation list including multiple clothing processing programs. These programs are arranged in a specific order within the second recommendation list. The clothing processing system recommends programs sequentially. After user confirmation, the system can control the clothing processing device to run the currently recommended program. If the user declines, other programs can be recommended, providing the user with greater choice.

[0121] In this embodiment, the clothing processing procedures in the second recommendation list include a first group of procedures with a high degree of matching and a second group of procedures with a lower degree of matching. In the second recommendation list, the first group of procedures is listed first and arranged in descending order of usage frequency, while the second group of procedures is listed after the first group of procedures and arranged in descending order of matching.

[0122] For the first group of programs with a high degree of matching, the actual application effects of different clothing processing programs are relatively similar. Therefore, programs that are used more frequently can be prioritized for recommendation, making the recommended programs more in line with user habits. However, for the second group of programs with a lower degree of matching, the actual application effects of different clothing processing programs may vary significantly. Therefore, after all programs in the first group are rejected by the user, recommendations should continue to be made according to the degree of matching from high to low, which can result in recommended clothing processing programs with better processing effects.

[0123] In another embodiment, the clothing processing procedures can be grouped according to their quantity. For the multiple clothing processing procedures obtained in step S111, the top n with the highest matching degree are selected as the first group of procedures, and the rest are selected as the second group of procedures. Then, the first group of procedures and the second group of procedures are arranged according to the same rules to form a second recommendation list.

[0124] In a preferred embodiment, the clothing processing system records the number of times a rejection instruction is received. When the number of rejection instructions reaches a second preset number, the recommendation process stops, and the system waits for the user to set a clothing processing procedure. Otherwise, the system continues to determine the clothing processing procedure to be recommended according to the second recommendation list.

[0125] In detail, this embodiment uses a washing machine as an example for explanation, and the second preset number of times is set to five. The clothing processing system obtains m clothing processing programs based on seasonal or weather information and clothing information. The two programs with the highest matching degree (denoted as washing program A and washing program B, respectively) are selected as the first group of programs, where washing program A is used more frequently than washing program B. The remaining washing programs are arranged in descending order of matching degree, and the order of arrangement is washing program C, washing program D, ..., washing program M. Therefore, the washing programs arranged in the second recommended list are washing program A, washing program B, washing program C, ..., washing program M.

[0126] The laundry processing system first identifies laundry program A as the recommended program, adjusts its parameters based on water quality information, and then sends it to the smart terminal for recommendation. If a user's rejection command is received, laundry program B is identified as the recommended program, its parameters are adjusted, and it is sent to the smart terminal for recommendation. If another user rejection command is received, the number of rejection commands received is now two, and the parameters of laundry program C are adjusted and recommended after adjustment. This process continues until a user rejection command is received, reaching a total of five rejection commands. At this point, no further parameter adjustments or recommendations for laundry programs are made, and the smart terminal displays an interface for setting the laundry processing program, waiting for the user to manually set the program.

[0127] The above method avoids the situation of endless clothing processing recommendations. However, the total number of clothing processing programs in the second recommendation list is still set to a large number. Users can adjust the value of the second preset number of times according to their usage habits, so that the total number of clothing processing programs in the second recommendation list will not be less than the value of the second preset number of times.

[0128] In this embodiment, the clothing processing system can proactively recommend clothing processing programs after the clothing processing device is powered on. Users can directly access the recommended programs without additional operation and control whether the clothing processing device runs them according to their needs, improving the efficiency of setting clothing processing programs. The clothing processing device has different recommendation logics. The first recommendation logic can retrieve and recommend corresponding clothing processing programs based on specific operating scenarios; this logic is simple and can meet clothing processing needs under special circumstances. The second recommendation logic can comprehensively analyze current seasonal or weather information, as well as the user's clothing information, and combine this with the usage frequency of different clothing processing programs to make recommendations. It can also adjust the parameters in the clothing processing programs based on water quality information, improving the matching degree between the recommended clothing processing programs and the user's needs and the working environment of the clothing processing device, thereby improving the clothing processing effect.

[0129] Example 2

[0130] This embodiment provides a clothing processing system, including:

[0131] The first communication module is used to receive the signal that the garment processing device is turned on.

[0132] The processing module is used to obtain the operating scenario of the clothing processing device and determine whether it is a special operating scenario;

[0133] The first recommendation module is used to obtain recommended clothing processing procedures based on the first recommendation logic under special operating scenarios;

[0134] The second recommendation module is used to obtain recommended clothing processing procedures based on the second recommendation logic under non-special operating scenarios;

[0135] The clothing processing system of this embodiment can be used to implement the control method described in Embodiment 1 above. The first recommendation logic is to match the clothing processing program according to the specific operating scenario, and the second recommendation logic is to generate the clothing processing program according to the usage information.

[0136] Specifically, the garment processing system includes a garment processing device and a cloud server. The first communication module, processing module, first recommendation module, and second recommendation module are all located on the cloud server. The garment processing device includes a second communication module for sending a power-on signal to the cloud server.

[0137] With the above solution, after the garment processing device is powered on, it can send a signal to the cloud server. The cloud server automatically obtains a recommended garment processing program based on the operating scenario of the garment processing device through either the first or second recommendation logic. No additional user intervention is required; the recommended garment processing program can be obtained immediately after the garment processing device is powered on, thus improving user efficiency.

[0138] In a further embodiment, the garment processing system further includes:

[0139] The interaction module is used to recommend clothing processing procedures obtained from the first recommendation module and the second recommendation module, and to receive confirmation or rejection instructions from the user.

[0140] The processing module is also used to control the first communication module to send a control command to the clothing processing device after the interaction module receives the confirmation instruction, so as to control the clothing processing device to run the recommended clothing processing program.

[0141] The interactive module can be installed on the clothing processing device.

[0142] More preferably, the garment processing system further includes a smart terminal, on which the interaction module is located. The smart terminal also includes a third communication module, which is at least communicatively connected to a first communication module of the cloud server, thereby enabling the smart terminal to remotely control the garment processing device via the cloud server.

[0143] After receiving the confirmation command, the interaction module sends a corresponding feedback signal to the first communication module of the cloud server through the third communication module. The first communication module then sends the feedback signal to the processing module, which in turn controls the first communication module to send a control command to the second communication module of the clothing processing device.

[0144] The garment processing device also includes a control module and an execution module, wherein the execution module is used to run the garment processing program. The second communication module sends received control commands to the control module, which then controls the execution module to run the recommended garment processing program.

[0145] In this embodiment, the cloud server stores a first recommendation list corresponding to different special operating scenarios. The first recommendation module is used to retrieve the corresponding first recommendation list according to the special operating scenario and send it to the interaction module for recommendation according to the order of the clothing processing procedures in the first recommendation list.

[0146] Specifically, the first recommendation module sends the clothing processing program to the interaction module through the first communication module and the second communication module of the smart terminal, and then the recommendation is realized by display through the interaction module of the smart terminal.

[0147] The processing module is also used to control the first recommendation module to send the next clothing item processing program in the first recommendation list to the interaction module after the interaction module receives the rejection instruction.

[0148] Specifically, after receiving the rejection instruction, the interaction module sends a corresponding feedback signal to the first communication module of the cloud server through the third communication module. The first communication module then sends the feedback signal to the processing module, which in turn controls the first recommendation module to send the next clothing item processing program from the first recommendation list to the interaction module via the first communication module and the second communication module of the smart terminal.

[0149] Furthermore, a counting module is included to record the number of times the interaction module receives rejection commands. When the first recommendation module is in operation, if the number of rejection commands received reaches a first preset number, the counting module sends a corresponding feedback signal to the interaction module and the processing module. After receiving the feedback signal, the processing module controls the first recommendation module to stop sending clothing processing programs. After receiving the feedback signal, the interaction module displays the clothing processing program settings interface, waiting for the user to manually set the clothing processing program.

[0150] In this embodiment, the second recommendation module includes:

[0151] The program generation submodule is used to analyze the current seasonal or weather information and / or the user's clothing information to obtain multiple clothing processing programs that match the seasonal or weather information and / or clothing information.

[0152] The sorting submodule receives multiple clothing processing programs obtained from the program generation submodule, arranges the clothing processing programs according to the degree of matching and / or usage frequency to obtain a second recommendation list, and sends the clothing processing programs to the parameter adjustment submodule in the order of the second recommendation list.

[0153] The parameter adjustment submodule receives the clothing processing program sent by the sorting submodule, adjusts the parameters in it according to the water quality information of the current location, and sends the clothing processing program with adjusted parameters to the interaction module for recommendation.

[0154] The processing module is also used to control the sorting submodule to send the next clothing item processing program in the second recommendation list to the parameter adjustment submodule after the interaction module receives the rejection instruction.

[0155] Specifically, the clothing processing system also includes a positioning module for acquiring the user's location information. This positioning module can be installed on the clothing processing device or a smart terminal. The positioning module sends the acquired location information to a processing module on a cloud server. This processing module can connect to the internet to query the corresponding seasonal or weather information, as well as water quality information, and then send the seasonal or weather information to a program generation submodule and the water quality information to a parameter adjustment submodule.

[0156] The cloud server also stores the virtual wardrobes created by users. The program generation submodule retrieves the user's clothing information from the virtual wardrobe and combines it with the received seasonal or weather information for comprehensive analysis. It then generates multiple clothing processing programs that can match the seasonal or weather information as well as the clothing information. The clothing processing program and its matching degree are sent to the sorting submodule one by one.

[0157] After receiving multiple clothing processing programs and their corresponding matching degrees, the sorting submodule divides them into a first group of programs with matching degrees equal to or greater than a preset value and a second group of programs with matching degrees less than the preset value. Alternatively, it can group the top n clothing processing programs with higher matching degrees into the first group and the remaining programs into the second group. The programs in the first group are then sorted in descending order of usage frequency, and the programs in the second group are sorted in descending order of matching degree. Finally, a second recommendation list is formed with the programs in the first group appearing first and the programs in the second group appearing last.

[0158] The sorting submodule prioritizes sending the first clothing processing program in the second recommendation list to the parameter adjustment submodule. The parameter adjustment submodule adjusts the parameters in the received clothing processing program based on the water quality information sent by the processing module. Then, the adjusted clothing processing program is sent to the interaction module via the first communication module and the second communication module of the smart terminal. The recommendation is then implemented through the interaction module in a display manner.

[0159] If the interaction module receives a confirmation instruction, it sends a feedback signal corresponding to the confirmation instruction to the processing module through the third communication module and the first communication module of the cloud server. The processing module can then control the first communication module to send corresponding control commands to the clothing processing device, causing the clothing processing device to run the clothing processing program with the adjusted parameters.

[0160] If the interaction module receives a rejection instruction, it sends a feedback signal corresponding to the rejection instruction to the processing module through the third communication module and the first communication module of the cloud server. The processing module then controls the sorting submodule to send the next clothing item processing program in the second recommendation list to the parameter adjustment submodule. The parameter adjustment submodule then adjusts the parameters and sends the program to the interaction module for recommendation.

[0161] When the second recommendation module is active, if the number of rejection commands received reaches a second preset threshold, the counting module sends a corresponding feedback signal to the interaction module and the processing module. Upon receiving this feedback signal, the processing module controls the sorting submodule to stop sending clothing processing programs. Upon receiving the feedback signal, the interaction module displays the clothing processing program settings interface, waiting for the user to manually set the clothing processing program.

[0162] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-described technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A control method for a garment handling system, characterized in that, The control method includes: Receives the signal indicating that the garment processing device is turned on; Obtain the operating scenario of the clothing processing device and determine whether it is a special operating scenario; If it is a special operating scenario, the recommended clothing processing procedure is obtained according to the first recommendation logic; otherwise, the recommended clothing processing procedure is obtained according to the second recommendation logic. The first recommendation logic is to match the clothing processing program according to the specific operating scenario, and the second recommendation logic is to generate the clothing processing program according to the usage information. The clothing processing system has a pre-set first recommendation list that corresponds one-to-one with special operating scenarios. The first recommendation list includes at least two clothing processing programs arranged in sequence. Under the first recommendation logic, the clothing processing system retrieves the first recommendation list corresponding to the special operating scenario and recommends clothing processing programs according to the order of the clothing processing programs in the first recommendation list; If a user's confirmation instruction is received, a control command is sent to the clothing processing device to control the clothing processing device to run the currently recommended clothing processing program; if a user's rejection instruction is received, the next clothing processing program in the first recommended list is recommended. The special operating scenarios include the "winter-spring transition period", the "spring-summer transition period" and "medium / high-risk areas for the epidemic".

2. The control method for the garment handling system according to claim 1, characterized in that, The clothing processing system records the number of times a rejection instruction is received. When the number of rejection instructions reaches a first preset number, the recommendation process stops, and the system waits for the user to set the clothing processing procedure.

3. The control method for the garment handling system according to claim 1 or 2, characterized in that, In the second recommendation logic, the information used includes current season information or weather information, and / or the user's clothing information, and / or the water quality information of the current location; The process of generating clothing processing procedures based on usage information includes: Generate a clothing processing procedure that matches the current seasonal or weather information; And / or, generate a clothing processing program that matches the user's clothing information; And / or, obtain the values ​​of clothing processing procedure parameters that match the water quality information at the current location.

4. The control method for the garment handling system according to claim 3, characterized in that, The recommended clothing handling procedure based on the second recommendation logic includes the following steps: S1. Analyze seasonal or weather information and clothing information to obtain clothing processing procedures that match the seasonal or weather information and clothing information, and determine them as clothing processing procedures to be recommended. S2. Adjust the parameters of the recommended clothing treatment procedure based on the water quality information; S3. Recommend the clothing processing procedure after adjusting the parameters.

5. The control method for the garment handling system according to claim 4, characterized in that, Step S3 is followed by step S4: receiving the user's confirmation instruction and sending a control command to the garment processing device to control the garment processing device to run the recommended garment processing program.

6. The control method for the garment handling system according to claim 5, characterized in that, Step S1 includes: S11. Analyze the seasonal information or weather information and clothing information to obtain at least two clothing processing programs that match the seasonal information or weather information and clothing information. S12. Compare the usage frequency of at least two clothing processing procedures obtained in step S11, and determine the clothing processing procedure with the highest usage frequency as the clothing processing procedure to be recommended.

7. The control method for the garment handling system according to claim 6, characterized in that, Step S11 includes: S111. Based on seasonal information or weather information and clothing information, obtain multiple clothing processing procedures that match the seasonal information or weather information and clothing information. S112. Divide multiple clothing processing programs into a first group of programs that are greater than or equal to a preset value and a second group of programs that are less than a preset value according to the degree of matching. The second group of programs are arranged in order of matching degree from high to low. Step S12 includes: arranging the first group of programs in step S112 in descending order of usage frequency, forming a second recommendation list by combining the first group of programs with the second group of programs in the order of the first group of programs first, and determining the first clothing processing program in the second recommendation list as the clothing processing program to be recommended.

8. The control method for the garment handling system according to claim 7, characterized in that, In step S4, if a user's rejection instruction is received, the next clothing processing procedure after the rejected clothing processing procedure in the second recommendation list is determined as the clothing processing procedure to be recommended, and the process returns to step S2.

9. The control method for the garment handling system according to claim 8, characterized in that, The clothing processing system records the number of times a rejection instruction is received. When the number of rejection instructions reaches a second preset number, the recommendation process stops and waits for the user to set the clothing processing procedure. Otherwise, it continues to determine the clothing processing procedure to be recommended according to the second recommendation list.

10. A garment handling system for implementing the control method of the garment handling system as described in any one of claims 1-9, characterized in that, include: The communication module is used to receive the signal that the garment processing device is turned on; The processing module is used to obtain the operating scenario of the clothing processing device and determine whether it is a special operating scenario; The first recommendation module is used to obtain recommended clothing processing procedures based on the first recommendation logic under special operating scenarios; The second recommendation module is used to obtain recommended clothing processing procedures based on the second recommendation logic under non-special operating scenarios; The first recommendation logic matches the clothing processing program according to the specific operating scenario, and the second recommendation logic generates the clothing processing program based on the usage information.

11. The garment handling system according to claim 10, characterized in that, Also includes: The interaction module is used to recommend clothing processing procedures obtained from the first recommendation module and the second recommendation module, and to receive confirmation or rejection instructions from the user. The processing module is also used to control the communication module to send a control command to the clothing processing device after the interaction module receives the confirmation instruction, so as to control the clothing processing device to run the recommended clothing processing program.

12. The garment processing system according to claim 11, characterized in that, The first recommendation module is used to retrieve the corresponding first recommendation list according to the specific operating scenario, and send it to the interaction module for recommendation according to the order of the clothing processing programs in the first recommendation list; The processing module is also used to control the first recommendation module to send the next clothing item processing program in the first recommendation list to the interaction module after the interaction module receives the rejection instruction; And / or, the second recommendation module includes: The program generation submodule is used to analyze the current seasonal or weather information and / or the user's clothing information to obtain multiple clothing processing programs that match the seasonal or weather information and / or clothing information. The sorting submodule receives multiple clothing processing programs obtained from the program generation submodule, arranges the clothing processing programs according to the degree of matching and / or usage frequency to obtain a second recommendation list, and sends the clothing processing programs to the parameter adjustment submodule in the order of the second recommendation list. The parameter adjustment submodule receives the clothing processing program sent by the sorting submodule, adjusts the parameters in it according to the water quality information of the current location, and sends the clothing processing program with adjusted parameters to the interaction module for recommendation. The processing module is also used to control the sorting submodule to send the next clothing item processing program in the second recommendation list to the parameter adjustment submodule after the interaction module receives the rejection instruction.

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