Washing machine control method based on user score, washing machine and washing equipment
By acquiring user washing scores and feature data from the washing machine, the washing program is selectively updated, solving the problem of inaccurate washing program recommendations in existing technologies, meeting diverse user needs, simplifying model training, and improving practicality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- QINGDAO HAIER WASHING MASCH CO LTD
- Filing Date
- 2024-10-31
- Publication Date
- 2026-05-01
AI Technical Summary
Existing washing program recommendations are not accurate enough, fail to meet diverse user needs, and have high model training costs.
After the washing machine finishes washing, the system obtains the user's washing score and characteristic data. By comparing these scores with preset scores, the system selectively updates the washing program data and recommends the best program, including programs that match the user's highest historical score or user-defined data.
It enables the adjustment of washing programs based on user feedback, meeting diverse user needs, simplifying the model training process, and improving practicality.
Smart Images
Figure CN121951815A_ABST
Abstract
Description
User-rated washing machine control method, washing machine and washing equipment Technical Field
[0001] This invention relates to the field of washing machine technology, specifically providing a washing machine control method based on user ratings, a washing machine, and washing equipment. Background Technology
[0002] With the development of washing machine technology, both household washing machines and self-service washing machines have become extremely popular. However, in daily use, as washing machine programs become increasingly diverse, users often find it difficult to accurately select the optimal washing program.
[0003] Current washing program selection generally falls into two categories: First, users manually select a suitable washing program based on factors such as the type of clothing; second, the system obtains information about the user's laundry and intelligently recommends washing programs based on that information. In the first scenario, the program is fixed and cannot meet the diverse washing needs of users. While the second scenario is intelligent, it requires model training, making implementation difficult and costly.
[0004] Therefore, a new technical solution is needed in this field to solve the above problems. Summary of the Invention
[0005] The present invention aims to solve the above-mentioned technical problems, namely, to solve the problem that the washing programs recommended by the prior art are not applicable to all users and the recommended washing programs are not accurate enough.
[0006] In a first aspect, the present invention provides a washing machine control method based on user rating, the control method comprising: after the washing machine finishes washing, acquiring a washing score of a first washing program for a target user and feature data related to the first washing program, wherein the first washing program is the washing program currently finished by the target user, and the feature data includes clothing data and washing data; comparing the washing score with a preset score; and selectively updating the washing data of the first washing program according to the comparison result.
[0007] In a specific implementation of the above-mentioned washing machine control method based on user ratings, the step of "selectively updating the washing data of the first washing program according to the comparison result" specifically includes: when the washing score is less than a preset score and the number of times is less than a set number of times, matching the second washing program according to the clothing data and obtaining the washing data of the second washing program, wherein the second washing program is the washing program with the highest historical washing score among multiple users; updating the washing data of the first washing program to the washing data of the second washing program.
[0008] In a specific embodiment of the above-mentioned washing machine control method based on user rating, the step of "updating the washing data of the first washing program to the washing data of the second washing program" further includes: pushing the washing data of the second washing program to the target user and sending an update request; if the update request is "yes", updating the washing data of the first washing program to the washing data of the second washing program.
[0009] In a specific implementation of the above-mentioned washing machine control method based on user rating, the step of "selectively updating the washing data of the first washing program according to the comparison result" further includes: when the washing score is less than a preset score and the number of times reaches a set number, sending a washing data setting request and setting suggestion to the user; obtaining the washing data set by the user; and updating the washing data of the first washing program to the washing data set by the user.
[0010] In a specific implementation of the above-mentioned washing machine control method based on user rating, the step of "obtaining the washing score of the first washing program for the target user" specifically includes: sending a rating interface to the target user and obtaining the evaluation score; obtaining the washing score of the first washing program based on the evaluation score and the historical evaluation scores of the first washing program.
[0011] In a specific embodiment of the above-mentioned washing machine control method based on user ratings, the calculation step of the evaluation score specifically includes: first, obtaining the scores of each rating option in the rating interface and their corresponding weight coefficients; then, obtaining the evaluation score of the first washing program based on each score and weight coefficient; the calculation formula for the evaluation score is: Evaluation Score Where i = 1 to n, the evaluation score i represents the evaluation score given by the target user for the i-th use of the first washing program, and a k x represents the weighting coefficient. k This indicates the score for each scoring item.
[0012] In a specific implementation of the above-mentioned washing machine control method based on user ratings, the step of "obtaining the washing score of the first washing program based on the evaluation score and the historical evaluation score of the first washing program" specifically includes: calculating the average of the average scores based on the evaluation score and the historical evaluation score of the first washing program, wherein the average is the washing score of the first washing program.
[0013] In a specific embodiment of the above-mentioned washing machine control method based on user rating, the step of "selectively updating the washing data of the first washing program according to the comparison result" further includes: when the washing score is greater than or equal to a preset score, the washing data of the first washing program is not updated and the feature data of the first washing program and the evaluation score are stored.
[0014] In a second aspect, the present invention also provides a washing machine including a controller configured to perform the control method described above.
[0015] In a third aspect, the present invention also provides a washing device, including a controller, characterized in that the controller is configured to perform the control method described above.
[0016] By employing the above technical solution, after the washing machine finishes washing, this invention acquires the washing score of the target user's first washing program and related feature data, compares the washing score with a preset score, and selectively updates the washing data of the first washing program based on the comparison result. This invention recommends the best washing program to the user based on the user's rating of each washing program. Based on user interaction, it not only meets the user's actual needs and diverse requirements but also eliminates the need for extensive model training, making it simple and highly practical. Attached Figure Description
[0017] The preferred embodiments of the present invention are described below with reference to the accompanying drawings, in which:
[0018] Figure 1 is a flowchart of the main steps of the washing machine control method based on user rating of the present invention;
[0019] Figure 2 is a possible complete flowchart of the washing machine control method based on user rating according to the present invention. Detailed Implementation
[0020] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention. For example, although this application is described in conjunction with a washing machine, which can be a drum washing machine or a top-loading washing machine, the technical solution of the present invention is not limited thereto. This control method can obviously also be applied to other washing equipment such as dryers, shoe washers, and dishwashers, and such changes do not depart from the principles and scope of the present invention. Those skilled in the art can make adjustments as needed to adapt to specific application scenarios.
[0021] It should be noted that although the steps of the control method of the present invention are described in a specific order in the description of the present invention, these orders are not restrictive. Without departing from the basic principles of the present invention, those skilled in the art can perform the steps in different orders.
[0022] Based on the technical problems raised in the background art, the present invention relates to the field of washing machine technology, specifically providing a washing machine control method, washing machine and washing equipment based on user ratings. The aim is to recommend the best washing program to the user based on the user's rating of each washing program. Compared with the existing methods, the present invention, based on the interaction between the user and the user, can not only meet the user's actual needs and satisfy the user's diverse needs, but also does not require a large amount of model training. The method is simple and highly practical.
[0023] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
[0024] First, refer to Figure 1, which is a flowchart of the main steps of the user-rated washing machine control method of the present invention. As shown in Figure 1, the control method of the present invention includes:
[0025] S1. After the washing machine finishes washing, obtain the washing score of the first washing program of the target user and the feature data related to the first washing program. The first washing program is the washing program that the target user has just finished. The feature data includes clothing data and washing data.
[0026] S2, compare the washing score with the preset score;
[0027] S3, selectively update the washing data of the first washing program based on the comparison results.
[0028] In step S1, the step of "obtaining the washing score M1 of the first washing program for the target user" specifically includes:
[0029] S11, Send the rating interface to the target user and obtain the rating score;
[0030] S12, obtain the washing score of the first washing program based on the evaluation score and the historical evaluation score of the first washing program.
[0031] In some embodiments, the rating interface can be sent to the target user in various forms. For example, the rating interface can be sent directly on the main control interface of the washing machine, or it can be sent to a smart terminal connected to the washing machine, such as a smartphone, tablet, laptop, in-vehicle computer, or smart wearable device.
[0032] Furthermore, target users rate the current washing process based on the rating options displayed on the rating interface. Specifically, the rating options can be multi-dimensional, allowing users to more accurately rate the current washing program and better meet their actual needs. For example, rating options include aspects such as cleanliness, washing time, detergent residue, foam residue, and rinsing effectiveness, providing a comprehensive reflection of user satisfaction with the washing program. Different washing programs have different rating options. For instance, wool washing programs include options to evaluate shrinkage and deformation, sportswear washing programs include options to evaluate the removal of sweat stains, silk washing programs include options to evaluate the degree of damage to clothing, and waterproof clothing washing programs include options to evaluate the degree of damage to the waterproof layer. Setting rating options tailored to the specific washing characteristics of each program ensures accurate feedback on its washing performance.
[0033] Furthermore, the scoring options can be presented in either graphical or numerical formats. Specifically, graphical scoring provides users with a graphical representation of each option for rating. For example, for cleanliness, a maximum score of 5 stars is given, with users selecting 1 to 5 stars. The system then quantifies this into a score range. This format is more aesthetically pleasing, conforms to general tastes, and is more suitable for home washing machines. Numerical scoring, on the other hand, allows users to select a specific score for each option, such as 1 to 100, with a maximum score of 100. Compared to graphical scoring, this is more precise, suitable for professionals, and more appropriate for commercial washing machines.
[0034] Furthermore, in step S11, the calculation of the evaluation score specifically includes:
[0035] S111, first obtain the score of each scoring option in the scoring interface and its corresponding weight coefficient;
[0036] S112, obtain the evaluation score of the first washing program based on each score and weighting coefficient;
[0037] The formula for calculating the evaluation score i is:
[0038] Evaluation score
[0039] Where i = 1 to n, the evaluation score i represents the evaluation score given by the target user for the i-th use of the first washing program, and a k x represents the weighting coefficient assigned to each scoring option. k This indicates the score for each rating option.
[0040] In some embodiments, each scoring option is assigned a different weight coefficient based on its importance in evaluating the washing effect; that is, the proportion of each scoring option's score in the overall score. Specifically, those skilled in the art pre-store the mapping relationship between each option and its weight coefficient. When calculating the evaluation score of the current washing program, the score of each scoring option after being weighted is calculated first, and then the scores are summed to obtain the evaluation score of the current washing program, as detailed in the calculation formula above.
[0041] In step S12, the step of "obtaining the washing score of the first washing program based on the evaluation score and the historical evaluation score of the first washing program" specifically includes:
[0042] S121, calculate the average of the average scores based on the evaluation scores and the historical evaluation scores of the first washing program. The average of the average scores is the washing score of the first washing program.
[0043] In some embodiments, the clothing data may, exemplarily, include: clothing texture data, clothing weight data, clothing soiling data, etc. For clothing texture data, the cloud server can obtain it through an infrared recognition device on the washing machine, or through a label recognition device on the washing machine that identifies a label (electronic tag) on the clothing. For clothing weight data, the cloud processor can obtain it through a weight sensor installed in the washing machine. For clothing soiling data, the cloud processor can obtain it through a turbidity sensor installed in the washing machine.
[0044] In some embodiments, the washing data may include, for example, water level data, soaking time data, washing time data, rinsing times data, spin speed data, spin time data, drying time data, or detergent dosage data, etc.
[0045] In step S3, the step of "selectively updating the washing data of the first washing program based on the comparison results" specifically includes:
[0046] S31, when the washing score is less than the preset score and the number of washes is less than the set number of washes, the second washing program is matched according to the clothing data and the washing data of the second washing program is obtained. The second washing program is the washing program with the highest historical washing score among multiple users.
[0047] S32, update the washing data of the first washing program to the washing data of the second washing program.
[0048] In some embodiments, the clothing data for the first and second washing programs are similar. When the target user's score for the currently completed washing program (the first washing program) is lower than a preset score, and the number of times it is lower than the preset score is less than a set number, the cloud server matches the washing program with the highest score (the second washing program) in its stored database based on the clothing data of the first washing program. Then, the washing data of the first washing program is updated to the washing data of the second washing program. If the target user's score for the first washing program after the update is still lower than the preset score, and the number of times the preset score is lower than the set number is less than the set number, the above steps are repeated, and washing data with scores lower than the preset score are removed to avoid duplicate recommendations and reduce efficiency.
[0049] It should be noted that the washing programs in the database are created by multiple users uploading them. The cloud server updates the feature data in the database regularly based on user ratings and deletes washing programs with very low ratings, thereby updating the feature data in the database.
[0050] In step S32, the step of "updating the washing data of the first washing program to the washing data of the second washing program" further includes:
[0051] S321, push the washing data of the second washing program to the target user and send an update request;
[0052] S322, if the target user's update request is "yes", update the washing data of the first washing program to the washing data of the second washing program.
[0053] In another embodiment, step S3, "selectively updating the washing data of the first washing program based on the comparison result," specifically includes:
[0054] S311, when the washing score is less than the preset score and the number of washes reaches the set number, send a washing data setting request and setting suggestions to the user;
[0055] S312, acquires the washing data set by the user;
[0056] S313, update the washing data of the first washing program to the washing data set by the user.
[0057] In some embodiments, "sending a washing data setting request and setting suggestion to the user" can be sent after the current washing program has finished scoring, or it can be sent when the user uses the washing program again. The present invention does not limit this.
[0058] Furthermore, for example, the setting suggestions for washing data can be to provide corresponding adjustment suggestions for scoring options whose scores in the target user's historical evaluation scores are lower than a set threshold. This can be combined with multiple users' rating options in the cloud server for scores higher than the set threshold and pushed to the target user. For example, "80% of users choose to rinse three times".
[0059] Furthermore, for example, the setting suggestions for washing data can also be based on the scores of each rating option in the target user's previous washing program, providing corresponding adjustment suggestions. For instance, in the rating options of the previous washing program, the score given for the rinsing program was 60 points, which corresponds to two rinsing cycles. Then, the corresponding adjustment suggestion could be "The last rinsing cycle was two, so it is recommended to increase the number of rinsing cycles."
[0060] In another embodiment, step S3, "selectively updating the washing data of the first washing program based on the comparison result," specifically includes:
[0061] S3111: When the washing score is greater than or equal to the preset score, the washing data of the first washing program is not updated, and the feature data and evaluation score of the first washing program are stored.
[0062] In some embodiments, when the washing score is greater than or equal to a preset score, it indicates that the target user is satisfied with the washing effect of the current washing program. In this case, the washing data of the first washing program is not updated, and the corresponding feature data and evaluation score are stored. When the same washing program is selected again, the clothes are washed using the original washing data.
[0063] Furthermore, when the washing machine starts the next washing cycle, it first acquires the clothing data, and then matches the corresponding washing program based on the characteristics of the clothing. At this time, the washing data of the washing program is matched based on the score of the previous washing cycle.
[0064] Referring now to Figure 2, which is a possible complete flowchart of the user-rated washing machine control method of the present invention, the control method of the present invention includes the following steps after the washing machine finishes washing:
[0065] S101, Obtain the washing score of the first washing program for the target user and the feature data related to the first washing program;
[0066] S102, compare the washing fraction M with the preset fraction M1;
[0067] When the washing fraction M is less than the preset fraction M1 and the number of washes N is less than the set number of washes N1, step S103 is executed;
[0068] When the washing fraction M is less than the preset fraction M1 and the number of washes N reaches the set number of washes N1, step S106 is executed.
[0069] When the washing fraction M is greater than or equal to the preset fraction M1, proceed to step S109;
[0070] S103, Match the second washing program according to the clothing data and obtain the washing data of the second washing program;
[0071] S104, push the washing data of the second washing program to the target user and send an update request;
[0072] S105, if the target user's update request is "yes", update the washing data of the first washing program to the washing data of the second washing program.
[0073] S106, sends a washing data setting request and setting suggestions to the user;
[0074] S107, Obtain the washing data set by the user;
[0075] S108, update the washing data of the first washing program to the washing data set by the user;
[0076] S109, do not update the washing data of the first washing program, and store the feature data and evaluation score of the first washing program.
[0077] In summary, in the preferred embodiment of the present invention, after the washing machine finishes washing, the washing score of the first washing program for the target user and the feature data related to the first washing program are obtained, and the washing score is compared with a preset score; the washing data of the first washing program is selectively updated based on the comparison result. The present invention recommends the best washing program to the user based on the user's score for each washing program. Based on interaction with the user, it can not only meet the user's actual needs and diverse requirements, but also does not require extensive model training, making it simple and highly practical.
[0078] Based on the above embodiments, the present invention also provides a washing machine, including a controller, the controller being configured to execute the control method described above.
[0079] Based on the above embodiments, the present invention also provides a washing device, including a controller, the controller being configured to execute the control method described above.
[0080] The preferred embodiments of the present invention have been described above in conjunction with the accompanying drawings. Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will readily understand that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and these changes or substitutions do not cause the essence of the corresponding technical protection to depart from the protection scope of the various embodiments of the present invention; all such changes or substitutions will fall within the protection scope of the present invention.
Claims
1. A washing machine control method based on user ratings, characterized in that: The control method includes: after the washing machine finishes washing, acquiring the washing score of the first washing program of the target user and the feature data related to the first washing program, wherein the first washing program is the washing program currently completed by the target user, and the feature data includes clothing data and washing data; comparing the washing score with a preset score; and selectively updating the washing data of the first washing program according to the comparison result.
2. The washing machine control method based on user rating according to claim 1, characterized in that: The step of "selectively updating the washing data of the first washing program based on the comparison results" specifically includes: when the washing score is less than a preset score and the number of times is less than a set number of times, matching the second washing program with the clothing data and obtaining the washing data of the second washing program, wherein the second washing program is the washing program with the highest historical washing score among multiple users; and updating the washing data of the first washing program with the washing data of the second washing program.
3. The washing machine control method based on user rating according to claim 2, characterized in that: The step of "updating the washing data of the first washing program to the washing data of the second washing program" further includes: pushing the washing data of the second washing program to the target user and sending an update request; if the update request is "yes", updating the washing data of the first washing program to the washing data of the second washing program.
4. The washing machine control method based on user rating according to claim 2, characterized in that: The step of "selectively updating the washing data of the first washing program based on the comparison results" further includes: when the washing score is less than a preset score and the number of washes reaches a set number, sending a washing data setting request and setting suggestion to the user; obtaining the washing data set by the user; and updating the washing data of the first washing program to the washing data set by the user.
5. The washing machine control method based on user rating according to any one of claims 1 to 4, characterized in that: The steps of "obtaining the washing score of the first washing program for the target user" specifically include: sending a rating interface to the target user and obtaining the rating score; obtaining the washing score of the first washing program based on the rating score and the historical rating scores of the first washing program.
6. The washing machine control method based on user rating according to claim 5, characterized in that: The specific steps for calculating the evaluation score include: first, obtaining the scores of each scoring option in the scoring interface and their corresponding weight coefficients; second, obtaining the evaluation score of the first washing program based on each score and weight coefficient; the formula for calculating the evaluation score is: Evaluation Score Where i = 1 to n, the evaluation score i represents the evaluation score given by the target user for the i-th use of the first washing program, and a k x represents the weighting coefficient. k This indicates the score for each scoring item.
7. The washing machine control method based on user rating according to claim 5, characterized in that: The step of "obtaining the washing score of the first washing program based on the evaluation score and the historical evaluation score of the first washing program" specifically includes: calculating the average of the average scores based on the evaluation score and the historical evaluation score of the first washing program, wherein the average is the washing score of the first washing program.
8. The washing machine control method based on user rating according to claim 5, characterized in that: The step of "selectively updating the washing data of the first washing program based on the comparison results" further includes: when the washing score is greater than or equal to a preset score, not updating the washing data of the first washing program and storing the feature data of the first washing program and the evaluation score.
9. A washing machine, comprising a controller, characterized in that, The controller is configured to perform the control method according to any one of claims 1 to 8.
10. A washing device, comprising a controller, characterized in that, The controller is configured to perform the control method according to any one of claims 1 to 8.