Laundry data processing apparatus
By acquiring and analyzing user washing data, the washing parameters of the washing equipment can be adjusted to meet user preferences, solving the problem that existing washing equipment cannot intelligently adjust according to changes in user needs, thus improving user satisfaction and the level of equipment intelligence.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HISENSE(SHANDONG)REFRIGERATOR CO LTD
- Filing Date
- 2023-03-20
- Publication Date
- 2026-07-21
Smart Images
Figure CN116289080B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of washing machine control technology, and more specifically, to a washing data processing device. Background Technology
[0002] With the improvement of people's living standards, washing clothes with laundry equipment has become a common laundry method. In related technologies, laundry equipment typically adjusts washing programs based on users' historical usage data to better meet their needs. However, because users' needs change according to washing conditions in actual use, the washing programs adjusted based on historical usage data have low adaptability to the specific user, leading to decreased user satisfaction and failing to provide intelligent and personalized laundry services. Summary of the Invention
[0003] To address the aforementioned technical problems, embodiments of this application provide a laundry data processing device.
[0004] According to an embodiment of this application, a laundry data processing device is provided, comprising: a data acquisition module configured to acquire user washing data, wherein the user washing data includes at least one of detergent usage data, washing habit data, and laundry data; a data analysis module configured to analyze user washing data to obtain user washing preference information; wherein, when the user washing data includes detergent usage data, the detergent efficacy is determined based on the detergent usage data, and the user washing preference information determined based on the detergent efficacy includes at least one of cleaning, color protection, garment care, sterilization, energy saving, and fragrance enhancement; and a parameter adjustment module configured to adjust the washing parameters in the user's laundry program according to the user washing preference information.
[0005] In the laundry data processing device provided in the embodiments of this application, user preference information with a high degree of compatibility with the current user is first determined by user washing data that reflects the current user's own needs in the daily washing process. Then, the current user's clothing washing program is adjusted based on the user preference information so that the adjusted user clothing washing program is more in line with the current user's current washing habits, thereby achieving the purpose of providing users with intelligent and personalized washing and care services and improving users' satisfaction with the washing equipment.
[0006] In some embodiments of this application, based on the foregoing scheme, the data analysis module is further configured to obtain the weight values corresponding to each user washing preference information based on user washing data analysis; the parameter adjustment module is further configured to adjust the washing parameters in the user's clothing washing program according to the weight values corresponding to each user washing preference information.
[0007] In the laundry data processing device provided in the embodiments of this application, the weight values of each user's washing preference information are used to determine the emphasis of each washing preference during the washing process of the clothes to be washed. Based on the washing preference information of users with higher emphasis, the washing parameters of the washing program of the user's clothes are adjusted first, thereby improving the adaptability between the adjusted washing program of the user's clothes and the current user, thereby further improving the intelligence level of the washing device and the user's satisfaction with the washing device.
[0008] In some embodiments of this application, based on the foregoing scheme, the parameter adjustment module is further configured to obtain user clothing washing preference information corresponding to multiple users; determine a general washing function based on the user clothing washing preference information corresponding to multiple users; and adjust the user clothing washing program corresponding to the current user according to the general washing function and the user clothing washing preference information corresponding to the current user.
[0009] In the laundry data processing device provided in the embodiments of this application, the user's laundry program is adjusted by a general washing function determined by the user's laundry preference information corresponding to multiple users. On the one hand, the general washing function is the adjustment method for most users' laundry programs, making it more feasible and in line with the user's daily usage habits when the parameter adjustment module adjusts the user's laundry program. On the other hand, based on the adjustment data of various washing parameters in the laundry program contained in the general washing parameters, the adjustment direction and adjustment target of the parameter adjustment module when determining the adjustment of various washing parameters in the current user's laundry program are greatly improved.
[0010] In some embodiments of this application, based on the aforementioned scheme, the parameter adjustment module is further configured to compare the user clothing washing preference information corresponding to each user with the user clothing washing preference information corresponding to the current user one by one to determine the preference similarity between each user and the current user; and to determine the general washing function based on the user clothing washing preference information corresponding to the target user, wherein the preference similarity corresponding to the target user is greater than a preset similarity threshold.
[0011] In the laundry data processing device provided in the embodiments of this application, the similarity of preferences between each user and the current user is obtained and determined. Target users with a similarity greater than a preset similarity threshold are selected to determine the general washing function. This avoids using the laundry preferences of other users whose laundry preferences differ significantly from the current user's as the information for determining the general washing function, thereby improving the compatibility between the obtained general washing function and the current user.
[0012] In some embodiments of this application, based on the aforementioned scheme, when the number of target users includes multiple users, the parameter adjustment module is further configured to statistically analyze the washing parameter adjustment frequency contained in the user clothing washing preference information corresponding to multiple target users; and to use the washing parameters whose washing parameter adjustment frequency is greater than a preset frequency threshold as general washing parameters contained in the general washing function, so as to adjust the user clothing washing program corresponding to the current user based on the general washing parameters.
[0013] In the laundry data processing device provided in the embodiments of this application, the washing parameter adjustment frequency contained in the user clothing washing preference information corresponding to multiple target users is statistically analyzed and compared with a preset frequency threshold. In order to eliminate the washing parameters contained in the low-frequency user clothing washing preference information when determining the general washing function, the accuracy of the general washing function generated for the current user is further improved.
[0014] In some embodiments of this application, based on the foregoing scheme, the data acquisition module is further configured to: acquire the user's corresponding washing environment data, the washing environment data including at least one of weather, water quality, and geographical location; the data analysis module is further configured to analyze the user's washing preference information based on the user's washing data and washing environment data.
[0015] In some embodiments of this application, based on the foregoing scheme, the data acquisition module is further configured to: acquire the barcode information of the detergent to determine the corresponding detergent usage data from a preset database based on the barcode information; or, acquire the outer packaging image information of the detergent to determine the corresponding detergent usage data by recognizing the outer packaging image information; or, acquire the detergent usage data input by the user.
[0016] In some embodiments of this application, based on the aforementioned scheme, the washing habit data includes at least one of the following: washing time cycle, washing program usage information, washing parameter adjustment information, APP remote control usage information, and washing additional function usage information.
[0017] In some embodiments of this application, based on the foregoing scheme, the data analysis module is further configured to: when the washing habit data includes the washing parameter adjustment information, determine whether the current user has lowered the water level and / or water temperature in the user's clothing washing program based on the washing parameter adjustment information; if it is determined to be yes, then determine the user's washing preference information as energy saving based on the washing additional function usage information.
[0018] In some embodiments of this application, based on the foregoing scheme, the data acquisition module is further configured to: acquire image information of the clothes to be washed, and identify the image information to obtain at least one of the following washing data: quantity of clothes, material of clothes, style of clothes, or mixed washing of clothes; or, acquire washing data input by the user.
[0019] In some embodiments of this application, based on the foregoing scheme, the data analysis module is further configured to: when the laundry data includes the laundry mixed washing situation, determine whether the current user separates light and dark colored clothes for washing based on the laundry mixed washing situation; if it is determined to be yes, then determine the user's washing preference information as color protection based on the laundry mixed washing situation.
[0020] In some embodiments of this application, based on the aforementioned scheme, the parameter adjustment module is further configured to: query corresponding recommended laundry products according to the user's washing preference information; and send the queried recommended laundry products to the user's laundry equipment so that the user's laundry equipment can display the recommended laundry products.
[0021] The laundry data processing device provided in the embodiments of this application displays recommended laundry products retrieved based on the user's laundry preference information on the user's laundry device, thereby facilitating the recommendation of recommended laundry products that are highly compatible with the user's laundry preference information, and thus enabling the user to obtain better laundry and care results when using the laundry device to wash the clothes to be washed. Attached Figure Description
[0022] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:
[0023] Figure 1 This is a block diagram illustrating a laundry data processing device in an exemplary embodiment of this application.
[0024] Figure 2 This is a flowchart illustrating a laundry data processing method in an exemplary embodiment of this application. Detailed Implementation
[0025] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided to make this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art.
[0026] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.
[0027] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.
[0028] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.
[0029] It should be noted that "multiple" in this article refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.
[0030] In related technologies, when users wash clothes using washing equipment, if they want to use a specific washing program for their clothes, they usually need to manually adjust the washing parameters on the washing equipment, or adjust the washing program based on historical usage data. However, with the continuous development of technology, manually adjusting the washing parameters can no longer meet users' requirements for the convenience of washing equipment, and the washing program adjusted based on historical usage data cannot meet the user's washing needs under different washing conditions, resulting in poor adaptability between the adjusted washing program and the user. Therefore, how to improve the intelligence level of washing equipment to provide users with intelligent and personalized washing and care services has become an urgent problem to be solved.
[0031] Figure 1 This is a schematic diagram of the structure of a laundry data processing device provided in an embodiment of this application. Figure 1As shown, the laundry data processing device 100 includes a data acquisition module 110, a data analysis module 120, and a parameter adjustment module 130. Each part will be described in detail below.
[0032] The data acquisition module 110 is configured to acquire user washing data.
[0033] It should be noted that user washing data refers to the washing and care data of the user when using washing equipment to wash the clothes to be washed. This user washing data includes, but is not limited to, detergent usage data, washing habit data, and clothing washing data.
[0034] Detergent usage data in user washing data represents users' preferences for washing and care effects when washing clothes. Detergent usage data includes, but is not limited to, detergent ingredients, washing and care types, washing and care effects, applicable scope, recommended dosage, usage time, and usage cycle.
[0035] Washing habit data characterizes users' habits of adjusting washing equipment before washing clothes. Washing habit data includes, but is not limited to, washing time cycles, washing program usage information, washing parameter adjustment information, APP remote control usage information, and washing additional function usage information.
[0036] Laundry data represents information about the clothes to be washed. Laundry data includes, but is not limited to, the quantity of clothes, the material of the clothes, the style of the clothes, and whether the clothes are mixed in the wash.
[0037] The data analysis module 120 is configured to obtain user washing preference information based on user washing data analysis.
[0038] In the embodiments of this application, after the data acquisition module 110 acquires the user's washing data, the data analysis module 120 can analyze the user's washing preference information based on the user's washing data.
[0039] Among them, user washing preference information represents the washing effect that the user expects after washing the clothes. User washing preference information includes, but is not limited to, cleaning, color protection, fabric care, sterilization, energy saving, and fragrance enhancement.
[0040] The method of obtaining user washing preference information based on user washing data analysis can be flexibly set as needed. In one example, when the user washing data includes detergent usage data, the detergent efficacy can be determined based on the detergent usage data. That is, the detergent efficacy is determined by comprehensively considering the detergent's ingredients, washing and care type, washing and care effect, applicable scope, recommended dosage, usage time, and usage cycle in the detergent usage data. Different detergent usage data correspond to different detergent efficacies, including antibacterial efficacy, cleaning efficacy, low-foaming and easy-rinse efficacy, color protection efficacy, fabric protection efficacy, and fragrance enhancement efficacy. Thus, based on the detergent efficacy, at least one of various user washing preference information can be determined.
[0041] For example, if the detergent's efficacy is determined to be low-foaming and easy-rinse based on usage data, then the user's washing preference information can be determined to be energy-saving based on this efficacy. Similarly, if the detergent's efficacy is color protection, then the corresponding user's washing preference information is color protection; if the detergent's efficacy is fabric care, then the corresponding user's washing preference information is fabric care; if the detergent's efficacy is cleaning, then the corresponding user's washing preference information is cleaning; if the detergent's efficacy is antibacterial, then the corresponding user's washing preference information is antibacterial; if the detergent's efficacy is fragrance enhancement, then the corresponding user's washing preference information is fragrance enhancement.
[0042] Furthermore, because different detergent manufacturers have different service philosophies, the main functions of their detergents will also differ. For example, Walch's main function is sterilization; Blue Moon's main functions are cleaning and low-foaming, easy-rinse effects; and Liby's main functions are color protection and / or fabric care. Therefore, detergent usage data can also include the detergent brand to make the user washing preference information determined based on the data more accurate.
[0043] In another example, when user washing data includes washing habit data, the user's washing preference information can be determined based on the washing time cycle, washing program usage information, washing parameter adjustment information, APP remote control usage information, and washing additional function usage information included in the washing habit data.
[0044] For example, if the washing habit data includes washing parameter adjustment information, it can be determined whether the current user has lowered the water level and / or water temperature in the washing program. If so, the user's washing preference information is determined to be energy-saving based on the washing parameter adjustment information. Similarly, if the washing habit data includes information on the use of additional washing functions, and this information indicates that the sterilization function is enabled, then the corresponding user's washing preference information is sterilization. Other washing habit data are determined using similar methods, which will not be elaborated upon here.
[0045] In another example, when user washing data includes laundry data, the user's washing preferences can be determined based on the quantity, material, style, and mixed washing of the laundry data.
[0046] For example, when laundry data includes information about mixed washing, it can be determined whether the current user separates light and dark colored clothes for washing. If so, the user's washing preference is determined to be color-protecting. Similarly, when laundry data includes information about clothing material, it can be determined whether the current user separates clothes by material. If so, the user's washing preference is determined to be fabric-care. Other laundry data uses similar methods for determination, which will not be elaborated upon here.
[0047] Furthermore, users in different regions have different needs when using laundry equipment. For example, users in the south, due to the humid weather, often use the drying function during the washing process. Alternatively, the weather in a particular region may affect users' needs when using laundry equipment. For instance, users who prioritize disinfecting their clothes may disable the disinfection function on sunny days, opting instead to dry the clothes in the sun to disinfect them.
[0048] Therefore, in an exemplary embodiment, the data acquisition module 110 can be further configured to acquire the washing environment data corresponding to the user.
[0049] The washing environment data includes, but is not limited to, weather, water quality, and geographical location.
[0050] One way to obtain data about a user's washing environment is to obtain the user's location information through the washing equipment the user is using. Based on the location information, the user's geographical location can be determined. At the same time, based on the location information, the weather and water quality conditions corresponding to that location can also be queried.
[0051] The data analysis module 120 can be further configured to analyze user washing data and washing environment data to obtain user washing preference information.
[0052] In the embodiments of this application, in order to improve the accuracy of the obtained user washing preference information, user washing preference information can be obtained by synchronously analyzing user washing data and washing environment data, thereby determining the user washing preference information corresponding to different washing environments.
[0053] The parameter adjustment module 130 is configured to adjust the washing parameters in the user's clothing washing program according to the user's washing preference information.
[0054] In the embodiments of this application, after the data analysis module 120 obtains the user's washing preference information, the parameter adjustment module 130 can adjust the washing parameters in the user's clothing washing program according to the user's washing preference information.
[0055] The parameter adjustment module 130 can flexibly adjust the washing parameters in the user's laundry program based on the user's washing preferences. In one example, after obtaining the user's washing preferences, the parameter adjustment module 130 can directly adjust the various washing parameters in the laundry program on the user's washing device, eliminating the need for manual adjustment by the user. This enhances the intelligence level of the washing device and improves user satisfaction. In another example, after obtaining the user's washing preferences, the parameter adjustment module 130 first generates an adjustment strategy for the washing parameters in the user's laundry program based on the user's washing preferences, and then sends the adjustment strategy to the user's washing device or smart terminal for display. This allows the user to choose whether to adjust the current laundry program based on the adjustment strategy, thereby improving the personalized service capabilities of the washing device.
[0056] In addition, the laundry data processing device 100 provided in this application embodiment can be flexibly configured as needed. In one example, the laundry data processing device 100 can be installed in the user's washing equipment to facilitate the acquisition of user washing data and to facilitate the real-time adjustment of washing parameters in the user's clothing washing program based on the user washing preference information obtained from the user washing data.
[0057] In another example, considering the large amount of data that the laundry data processing device 100 needs to process, the laundry data processing device 100 can be configured in a server, and a communication device for communicating with the server can be set up on the washing device. This allows the server to obtain user washing data through the communication device, analyze the user washing data to obtain user washing preference information, and finally adjust the washing parameters of the user's clothing washing program based on the user washing preference information generated by the server through the communication device. Thus, only a communication device needs to be set up on the washing device to communicate with the server that is pre-configured with the laundry data processing device 100, and the washing device can implement the above scheme, thereby achieving the goal of saving production costs.
[0058] According to the laundry data processing device 100 provided in the embodiments of this application, the method of obtaining detergent usage data in user washing data can be further exemplified in one embodiment of this application by configuring the data acquisition module 110 to acquire the barcode information of the detergent, so as to determine the corresponding detergent usage data from a preset database based on the barcode information; or to acquire the outer packaging image information of the detergent, so as to determine the corresponding detergent usage data by recognizing the outer packaging image information; or to acquire the detergent usage data input by the user.
[0059] The method for obtaining barcode information from detergents can be flexibly configured as needed. In one example, a camera module can be installed on the washing machine to allow users to capture the barcode information from the detergent. Alternatively, the camera permissions of the user's smart device can be obtained through an app installed on the device, allowing the user to access the device's camera to capture the barcode information. In another example, an input module can be installed on the washing machine to allow users to manually input the barcode information.
[0060] In the above process, after the data acquisition module 110 obtains the barcode information of the detergent, it can determine the corresponding detergent usage data from the preset database based on the barcode information. In other words, the preset database can store the barcode information of various detergents on the market and the detergent usage data corresponding to each barcode information in advance. Therefore, based on the barcode information obtained by the data acquisition module 110, the detergent usage data corresponding to the barcode information can be queried from the preset database.
[0061] The method for obtaining image information of detergent packaging can also be the same as in the example above, which involves setting up a camera module on the washing equipment and obtaining camera permissions through the APP program installed on the user's smart terminal device.
[0062] To attract customers and ensure optimal washing results, detergent manufacturers typically print information such as ingredients, washing and care types, effects, applicable uses, and recommended dosage on the detergent packaging. Therefore, after acquiring the image information of the detergent packaging, the data acquisition module 110 can determine the corresponding detergent usage data by recognizing the image or text information on the packaging.
[0063] Detergent usage data can also be obtained through manual input, i.e., by obtaining detergent usage data input by the user. The user input methods can refer to the above example, which involves inputting detergent usage data through the input module set on the washing equipment and through the APP program installed on the user's smart terminal device.
[0064] In addition, referring to the above example, in order to obtain laundry data, in an exemplary embodiment of this application, the data acquisition module 110 may be configured to acquire image information of the laundry to be washed, and to identify the image information to acquire at least one of the following laundry data: quantity of laundry, material of laundry, style of laundry, or mixed washing of laundry; or, to acquire laundry data input by the user.
[0065] The image information of the clothes to be washed can be obtained through the camera module on the washing equipment or through the user's smart terminal device. Conversely, if it is necessary to obtain the washing data of the clothes to be washed manually, the data can be entered through the input module on the washing equipment as described in the example above or through the user's smart terminal device, thereby obtaining the user-inputted washing data.
[0066] In another exemplary embodiment, the data analysis module 120 in the laundry data processing device 100 is further configured to obtain weight values corresponding to each user's laundry preference information based on user laundry data analysis.
[0067] It should be noted that users may have multiple washing needs during the washing process, and the degree of need for each washing need may also vary. In other words, users may have multiple washing preferences at the same time, and the importance of each washing preference may vary.
[0068] In the embodiments of this application, after the data analysis module 120 obtains user washing preference information based on user washing data analysis, it can also obtain the weight values corresponding to each user washing preference information based on user washing data analysis.
[0069] Referring to the above examples, the user washing preference information obtained from the detergent usage data in the user washing data is energy saving, color protection, and garment care; the user washing preference information obtained from the washing habit data in the user washing data is energy saving and sterilization; and the user washing preference information obtained from the laundry data in the user washing data is color protection and garment care. In one example, the weight value of each user washing preference can be incremented by one whenever a user washing preference is determined, so that the weight values corresponding to each user washing preference can be obtained based on the user washing data analysis. That is, the weight values corresponding to the above user washing preferences are: energy saving, color protection, and garment care are all 2, and sterilization is 1.
[0070] In another example, the total frequency of occurrence of each user washing preference can be counted, along with the individual frequency of occurrence of each preference. Based on this total frequency and the individual frequency, the weight of each user washing preference can be calculated. Specifically, the weights for each user washing preference are: energy saving, color protection, and garment care are each 28.57%, while sterilization is 14.28%.
[0071] The parameter adjustment module 130 is also configured to adjust the washing parameters in the user's clothing washing program according to the weight values corresponding to each user washing preference information.
[0072] In the embodiments of this application, after the data analysis module 120 obtains the weight values corresponding to each user washing preference information, the parameter adjustment module 130 can adjust the washing parameters in the user's clothing washing program according to the weight values corresponding to each user washing preference information, so as to improve the adaptability between the clothing washing program after adjusting the washing parameters in the user's clothing washing program and the user, thereby further improving the user's satisfaction with the washing equipment.
[0073] Referring to the above example, the weight values for energy saving, color protection, and garment care are all 2, while the weight value for sterilization is 1. Therefore, in the process of adjusting the washing parameters in the user's laundry program according to the weight values corresponding to each user's washing preference information, the adjustment scheme that includes lowering the water level, lowering the water temperature, reducing the number of rinses, reducing the spin speed, or turning on the gentle wash function in the user's laundry program will be implemented first, followed by the adjustment scheme that includes turning on the sterilization function in the user's laundry program.
[0074] In another exemplary embodiment, the parameter adjustment module 130 in the laundry data processing device 100 is further configured to: acquire user clothing washing preference information corresponding to multiple users;
[0075] The general washing function is determined based on the clothing washing preference information of multiple users.
[0076] The washing program for the current user's clothes is adjusted based on the general washing functions and the user's clothing washing preferences.
[0077] First, it should be noted that during the process of adjusting the washing parameters in the user's clothing washing program based on the user's washing preference information, the more adjustment samples the parameter adjustment module 130 contains for adjusting the clothing washing program based on the user's washing preference information, the higher the accuracy of the parameter adjustment module 130 in adjusting the user's clothing washing program based on the current user's washing preference information.
[0078] In the above process, the method for obtaining the laundry preference information of multiple users can be flexibly configured as needed. In one example, the parameter adjustment module 130 can directly obtain the information from a memory that pre-stores the laundry preference information of multiple users. In another example, the parameter adjustment module 130 can obtain the information by establishing a communication link with a cloud server that stores the laundry preference information of multiple users through a communication module installed on the washing equipment or through the user's smart terminal device. Furthermore, through the cloud server, developers can keep updating the laundry preference information of different users, so that the adjustment strategy of the parameter adjustment module 130 in adjusting the laundry program according to the user's laundry preference information remains optimized.
[0079] In the embodiments of this application, after the parameter adjustment module 130 obtains the user clothing washing preference information corresponding to multiple users, it can determine the general washing function based on the user clothing washing preference information corresponding to multiple users.
[0080] The general washing function consists of various washing parameters that are adjusted according to the washing preferences of different users.
[0081] In one example, since the user's clothing washing preference information includes multiple items, the parameter adjustment module 130 can first select the user's clothing washing preference information that is the same as the current user's clothing washing preference information from the multiple user's clothing washing preference information as the target user's clothing washing preference information, and then determine the general washing function based on the target user's clothing washing preference information among multiple users, so as to improve the adaptability of the determined general washing function.
[0082] In another example, the parameter adjustment module 130 can remove invalid users from multiple users based on the washing preferences of the current user, wherein the washing preferences of invalid users do not include the washing preferences of the current user; and then determine the general washing function based on the washing preferences of the multiple users after removing invalid users, thereby improving the accuracy of the determined general washing function.
[0083] In the embodiments of this application, the parameter adjustment module 130 adjusts the user's laundry program based on the general washing function and the user's laundry preference information after determining the general washing function. On the one hand, by determining the adjustment methods of most users' laundry programs through the general washing function, the adjustment strategy generated by the parameter adjustment module 130 based on the user's laundry preference information is more feasible and in line with the user's daily usage habits. On the other hand, based on the adjustment data of various washing parameters in the laundry program included in the general washing function, the adjustment direction and adjustment target of the parameter adjustment module 130 when determining the adjustment of various washing parameters in the user's laundry program are greatly improved.
[0084] In another exemplary embodiment, the parameter adjustment module 130 in the laundry data processing device 100 is further configured to: compare the user clothing washing preference information corresponding to each user with the user clothing washing preference information corresponding to the current user one by one, so as to determine the preference similarity between each user and the current user;
[0085] The general washing functions are determined based on the user's clothing washing preferences.
[0086] In the embodiments of this application, after obtaining the user washing preference information corresponding to multiple users, the parameter adjustment module 130 can compare the user clothing washing preference information corresponding to each user with the user clothing washing preference information corresponding to the current user one by one to determine the similarity of preferences between each user and the current user.
[0087] For example, user A's laundry preferences include washing, color protection, and energy saving; user B's laundry preferences include washing, energy saving, and fragrance; user C's laundry preferences include color protection, fragrance, energy saving, and sterilization; and the current user's laundry preferences include color protection, fabric care, sterilization, and energy saving. After comparing the laundry preferences of users A, B, and C with the current user's laundry preferences, the similarity of preferences between users A, B, and C and the current user is 50%, 25%, and 75%, respectively.
[0088] In the above process, in order to improve the compatibility of the general washing function with the current user, the parameter adjustment module 130 can determine the general washing function based on the user washing preference information corresponding to the target user.
[0089] Specifically, the similarity of preferences among the target users must exceed a preset similarity threshold. This preset similarity threshold can be flexibly adjusted according to actual needs and is not restricted here.
[0090] Referring to the example above, the preference similarity of users A, B, and C is 50%, 25%, and 75%, respectively. If the preset similarity threshold is set to 40%, it means that the preference similarity of users A and C is greater than 40%, which means that users A and C are target users. Thus, the parameter adjustment module 130 determines the general washing function based on the user washing preference information of users A and C.
[0091] Through the above implementation method, after obtaining the user washing preference information corresponding to multiple users, the parameter adjustment module 130 compares the user clothing washing preference information corresponding to each user with the user clothing washing preference information corresponding to the current user one by one, determines the preference similarity between each user and the current user, and then filters out the target user based on the preference similarity of each user, that is, the user whose preference similarity is greater than the preset similarity threshold. Thus, the general washing function is determined based on the user clothing washing preference information corresponding to the target user, so as to avoid using the user clothing washing preference information corresponding to other users that are significantly different from the user clothing washing preference information corresponding to the current user as the information for determining the general washing function, thereby improving the adaptability between the obtained general washing function and the current user.
[0092] In another exemplary embodiment, when there are multiple target users, the parameter adjustment module 130 in the laundry data processing device 100 is further configured to statistically analyze the washing parameter adjustment frequency contained in the user clothing washing preference information corresponding to multiple target users.
[0093] Washing parameters whose adjustment frequency is greater than a preset frequency threshold are included as general washing parameters in the general washing function.
[0094] In the embodiments of this application, in order to further improve the adaptability between the general washing function and the current user, after the parameter adjustment module 130 determines multiple target users based on the similarity of preferences of each user, it can count the frequency of washing parameter adjustment contained in the user clothing washing preference information of multiple target users.
[0095] Referring to the example above, both User A and User C are target users. User A's laundry preferences include washing, color protection, and energy saving; User C's preferences include color protection, fragrance enhancement, energy saving, and sterilization. Therefore, the adjustment frequencies of the washing parameters included in the laundry preferences of User A and User C, after being statistically analyzed by parameter adjustment module 130, are as follows: the adjustment frequency for color protection and energy saving is 2 for both, while the adjustment frequency for washing, fragrance enhancement, and sterilization is 1 for both.
[0096] In the above process, after the parameter adjustment module 130 counts the washing parameter adjustment frequency contained in the washing preference information of each user's clothes, it can use the washing parameters whose washing parameter adjustment frequency is greater than the preset frequency threshold as the general washing parameters contained in the general washing function, so as to adjust the user's clothes washing program corresponding to the current user based on the general washing parameters.
[0097] The preset frequency threshold can be flexibly adjusted according to actual needs, and no restrictions are imposed here.
[0098] Referring to the above example, if the washing parameter adjustment frequency included in color protection and energy saving is 2, and the washing parameter adjustment frequency included in cleaning, fragrance enhancement and sterilization is 1, when the preset frequency threshold is set to 1, then the washing parameters with a washing parameter adjustment frequency greater than 1 are the washing parameters adjusted based on color protection and energy saving. The parameter adjustment module 130 can then use the washing parameters adjusted by color protection and energy saving as the general washing parameters included in the general washing function, so as to adjust the user's clothing washing program corresponding to the current user based on the general washing parameters.
[0099] Through the above implementation method, after the parameter adjustment module 130 determines multiple target users based on the similarity of preferences of each user, it can first count the frequency of washing parameter adjustment contained in the washing preference information of multiple target users, and then use the washing parameters whose washing parameter adjustment frequency is greater than the preset frequency threshold as the general washing parameters contained in the general washing function, so as to remove the washing parameters contained in the low frequency of user washing preference information, thereby further improving the accuracy of the general washing function generated for the current user.
[0100] In another exemplary embodiment, the parameter adjustment module 130 in the laundry data processing device 100 is further configured as follows:
[0101] Based on the user's washing preferences, we can find corresponding recommended washing and care products;
[0102] The retrieved recommended laundry and care products will be sent to the user's clothing processing device so that the device can display the recommended products.
[0103] In the embodiments of this application, when the parameter adjustment module 130 analyzes and obtains the user washing preference information corresponding to the current user, it can query the corresponding recommended washing and care products based on the user washing preference information.
[0104] The method of querying corresponding laundry and care product recommendations based on user washing preferences can be flexibly configured according to actual needs. In one example, since there are multiple types of laundry and care products, such as laundry detergent, laundry pods, fragrance beads, or laundry sheets, the parameter adjustment module 130 can first determine the product type of the laundry and care product based on the user's washing preferences, and then query the corresponding recommended laundry and care products based on the product type.
[0105] In another example, since laundry products have multiple functions, such as antibacterial, cleaning, low-foaming and easy rinsing, color protection, fabric protection, or fragrance enhancement, the parameter adjustment module 130 can first determine the product functions of the laundry products based on the user's washing preferences, and then query the corresponding recommended laundry products based on the product functions of the laundry products.
[0106] In addition, the parameter adjustment module 130 can query and obtain recommended washing and care products from a server that stores the correspondence between user washing preference information and recommended washing and care products through the communication module set on the washing equipment in the above example or the user's smart terminal device.
[0107] In the above process, after the parameter adjustment module 130 finds the corresponding recommended washing and care products, it can send the found recommended washing and care products to the user's laundry equipment so that the user's laundry equipment can display the recommended washing and care products. This makes it easier to recommend washing and care products that are highly compatible with the user's washing preferences, thereby obtaining better washing and care results.
[0108] The washing machine can display recommended laundry products in several ways. First, a display module can be installed on the washing machine itself, allowing the parameter adjustment module 130 to display the retrieved recommended products. Second, the parameter adjustment module 130 can also send the retrieved recommended laundry products to the user's smart terminal device for display.
[0109] Figure 2 This is a flowchart illustrating the process of laundry data processing by a laundry data processing device in an exemplary embodiment of this application, such as... Figure 2 As shown, the specific implementation process includes at least steps S210 to S270, which are detailed below:
[0110] In step S210, user washing data is obtained.
[0111] The user washing data refers to the washing and care data related to the user's use of the washing equipment to wash the clothes. Step S210 includes steps S220 to S250, as shown below:
[0112] Step S220: Obtain detergent usage data.
[0113] The detergent usage data includes, but is not limited to, the detergent's ingredients, washing and care type, washing and care effect, applicable scope, recommended dosage, usage time, and usage cycle. The specific implementation methods for obtaining detergent usage data have been described in detail in the above examples and will not be repeated here.
[0114] Step S230: Obtain washing habit data.
[0115] The washing habit data includes, but is not limited to, washing time cycles, washing program usage information, washing parameter adjustment information, APP remote control usage information, and washing additional function usage information. The specific implementation methods for obtaining washing habit data have been described in detail in the above examples and will not be repeated here.
[0116] Step S240: Obtain laundry data.
[0117] The laundry data includes, but is not limited to, the quantity, material, style, and mixed washing of clothes. The specific implementation methods for obtaining laundry data have been described in detail in the above examples and will not be repeated here.
[0118] Step S250: Obtain washing environment data.
[0119] The washing environment data includes, but is not limited to, weather, water quality, and geographical location. The specific implementation methods for obtaining washing environment data have been described in detail in the above examples and will not be repeated here.
[0120] Step S260: Analyze the user's washing preferences based on various user washing data.
[0121] By analyzing various user data, the washing preferences of the current user are analyzed. This analysis considers factors such as detergent usage, washing habits, laundry items, and the washing environment to improve the matching degree between the determined user washing preferences and the current user.
[0122] Step S270: Adjust the washing parameters in the washing program for the current user's clothes based on the user's washing preference information.
[0123] Based on the washing preferences of users with a high degree of matching with the current user, the washing parameters in the current user's clothing washing program are adjusted. On the one hand, the washing program of the washing equipment can be adjusted according to the user's needs without the user's manual operation, thereby improving the intelligence level of the washing equipment. On the other hand, the adjusted clothing washing program is more in line with the current user's washing habits, thereby improving the user's satisfaction with the washing equipment.
[0124] It should be noted that, Figure 2 The details of the process shown have been described in the foregoing embodiments of the laundry data processing equipment, and therefore will not be repeated here.
[0125] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein.
[0126] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.
Claims
1. A laundry data processing device, characterized in that, The laundry data processing device includes: The data acquisition module is configured to acquire user washing data, which includes at least one of detergent usage data, washing habit data, and laundry data. The data analysis module is configured to obtain user washing preference information based on the user washing data; wherein, when the user washing data includes the detergent usage data, the detergent efficacy is determined based on the detergent usage data, and the user washing preference information is determined based on the detergent efficacy to include at least one of the following: cleaning, color protection, garment care, sterilization, energy saving, and fragrance enhancement; The parameter adjustment module is configured as follows: Obtain clothing washing preference information for multiple users; The general washing function is determined based on the user clothing washing preference information of the multiple users; The washing program for the current user's clothes is adjusted based on the general washing function and the user's clothing washing preferences.
2. The laundry data processing device according to claim 1, characterized in that, The data analysis module is further configured to analyze the user washing data to obtain the weight values corresponding to each user washing preference information. The parameter adjustment module is further configured to adjust the washing parameters in the user's clothing washing program according to the weight values corresponding to each of the user washing preference information.
3. The laundry data processing device according to claim 2, characterized in that, The parameter adjustment module is also configured to: The user clothing washing preference information of each user is compared one by one with the user clothing washing preference information of the current user to determine the similarity of preferences between each user and the current user. The general washing function is determined based on the user's clothing washing preference information corresponding to the target user, wherein the similarity of the preferences corresponding to the target user is greater than a preset similarity threshold.
4. The laundry data processing device according to claim 3, characterized in that, The number of target users includes multiple users, and the parameter adjustment module is further configured as follows: The frequency of washing parameter adjustments is statistically analyzed based on the user clothing washing preference information of the multiple target users. Washing parameters whose adjustment frequency is greater than a preset frequency threshold are used as general washing parameters included in the general washing function, so as to adjust the washing program of the user's clothes corresponding to the current user based on the general washing parameters.
5. The laundry data processing device according to claim 1, characterized in that, The data acquisition module is further configured as follows: Obtain the user's corresponding washing environment data, which includes at least one of weather, water quality, and geographical location; The data analysis module is further configured to analyze user washing preference information based on the user washing data and the washing environment data.
6. The laundry data processing device according to claim 1, characterized in that, The data acquisition module is also configured to: Obtain the barcode information of the detergent, and determine the corresponding detergent usage data from a preset database based on the barcode information; or, Acquire image information of the outer packaging of the detergent, and determine the corresponding detergent usage data by recognizing the outer packaging image information; or, Obtain detergent usage data input by the user.
7. The laundry data processing device according to claim 1, characterized in that, The washing habit data includes at least one of the following: washing time cycle, washing program usage information, washing parameter adjustment information, APP remote control usage information, and washing additional function usage information.
8. The laundry data processing device according to claim 7, characterized in that, The data analysis module is also configured to: When the washing habit data includes the washing parameter adjustment information, determine whether the current user has lowered the water level and / or water temperature in the user's clothing washing program based on the washing parameter adjustment information. If the condition is met, then the user's washing preference information is determined to be energy-saving based on the washing parameter adjustment information.
9. The laundry data processing device according to claim 1, characterized in that, The data acquisition module is also configured to: Acquire image information of the clothes to be washed, and identify the image information to obtain at least one of the following data: number of clothes, material of clothes, style of clothes, or mixed washing of clothes. or, Obtain the laundry data input by the user.
10. The laundry data processing device according to claim 9, characterized in that, The data analysis module is also configured to: When the laundry data includes the mixed washing situation, determine whether the current user should separate light and dark colored clothes for washing based on the mixed washing situation. If the condition is confirmed, then the user's washing preference information is determined to be color protection based on the mixed washing situation of the clothes.
11. The laundry data processing device according to any one of claims 1-10, characterized in that, The parameter adjustment module is further configured as follows: Based on the user's washing preferences, the system will retrieve corresponding recommended washing and care products. The retrieved recommended laundry products are sent to the user's laundry equipment so that the user's laundry equipment can display the recommended laundry products.