Washing reminding method, device and equipment and computer readable storage medium

Abstract

The embodiment of the invention provides a washing reminding method, device and equipment and a computer readable storage medium. The method comprises the steps of obtaining a use habit model of a user; according to the use habit model, determining a current timed reminding threshold value of the user; if it is detected that the washing equipment enters the pause state in the washing stage, timing is started; when the timing time exceeds the timing reminding threshold value, reminding information is sent to remind the user to continue washing. According to the method, the problem of long-time retention of the clothes due to forgetting is avoided, the user experience is improved, the timed reminding threshold value is dynamically set for the user based on the actual use habit of the user, reminding can better meet the expectation of the user, and the personalized reminding requirement of the user is met.

Description

Technical Field

[0001] This application relates to the field of smart appliance technology, and in particular to a washing reminder method, apparatus, device, and computer-readable storage medium. Background Technology

[0002] With the rapid development of science and technology, people's pace of life is constantly accelerating. There are many tedious things to deal with every day. Often, when washing clothes, people may pause the washing machine for various reasons (such as answering the phone or leaving temporarily) and forget to restart it. This causes the clothes to remain in the washing machine for a long time, which not only affects the washing effect of the clothes, but may also produce odors, which can easily affect the user's physical health and mood. Summary of the Invention

[0003] This application provides a washing reminder method, apparatus, device, and computer-readable storage medium that can more intelligently remind users to continue washing after the washing equipment is paused midway, avoiding the problem of clothes remaining for a long time due to forgetting, and improving the user experience.

[0004] In a first aspect, embodiments of this application provide a washing reminder method, including:

[0005] Obtain a user's usage habit model;

[0006] Based on the usage habit model, determine the user's current timed reminder threshold;

[0007] If the washing machine is detected to have entered a paused state during the washing phase, a timer will be started.

[0008] When the timeout period exceeds the timed reminder threshold, a reminder message is sent to remind the user to continue washing.

[0009] Secondly, embodiments of this application provide a washing reminder device, comprising:

[0010] The acquisition module is used to acquire users' usage habit models;

[0011] The processing module is used to determine the user's current timed reminder threshold based on the usage habit model, and to start timing when the washing equipment is detected to enter a pause state during the washing stage;

[0012] The sending module is used to send a reminder message when the timeout period exceeds the timed reminder threshold, reminding the user to continue washing.

[0013] Thirdly, embodiments of this application provide an electronic device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the washing reminder method provided in the first aspect of embodiments of this application.

[0014] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the washing reminder method provided in the first aspect of embodiments of this application.

[0015] The technical solution provided in this application establishes a user habit model and dynamically sets the user's current timed reminder threshold based on the user's user habit model. When the pause time of the washing machine exceeds the timed reminder threshold, a reminder message is sent to remind the user to continue washing, avoiding the problem of clothes being left for a long time due to forgetting, thus improving the user experience. Furthermore, the timed reminder threshold can be dynamically set for the user based on the user's actual usage habits, making the reminders more in line with the user's expectations and meeting the user's personalized reminder needs. Attached Figure Description

[0016] Figure 1 A schematic flowchart of a washing reminder method provided in an embodiment of this application;

[0017] Figure 2 Another schematic flowchart of the washing reminder method provided in the embodiments of this application;

[0018] Figure 3 A schematic flowchart illustrating another washing reminder method provided in an embodiment of this application;

[0019] Figure 4 A schematic diagram of the structure of a washing reminder device provided in an embodiment of this application;

[0020] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions in the embodiments of this application will be further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for explaining this application and are not intended to limit this application. Those skilled in the art can make adjustments as needed to suit specific application scenarios. Furthermore, it should be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not the entire structure.

[0022] The washing reminder method provided in this application is applicable to scenarios where a washing machine pauses washing operations midway and reminds the user to continue washing. The executing entity in this application embodiment can be a washing reminder device, which can be integrated into any electronic device. Optionally, the electronic device can be a washing machine, such as a washing machine or dryer combo. In this application embodiment, by recording user usage history, a user habit model is established based on the user's usage history after a period of use. A current timed reminder threshold is dynamically set for the user using the habit model. When the pause time of the washing machine exceeds the timed reminder threshold, a reminder message is issued to remind the user to continue washing, avoiding the problem of clothes remaining for extended periods due to forgetfulness and improving the user experience.

[0023] Figure 1 This is a schematic flowchart illustrating a washing reminder method provided in an embodiment of this application. Figure 1 As shown, the method may include:

[0024] S101. Obtain a user's usage habit model.

[0025] Specifically, each time a user washes a wash, the washing reminder device (hereinafter referred to as the device) records the user's historical usage data. This historical data can include the washing program, washing parameters, washing duration, frequency of pauses and restarts, the time interval between pauses and restarts, the reason for the pause (e.g., user-triggered pause or pause due to device malfunction), and other relevant information. After a period of use, the device can acquire historical usage data within a preset time period, build a user habit model based on this data, and store it. When subsequently executing the reminder service, the pre-built habit model can be retrieved from the stored area.

[0026] Optionally, historical usage data from a recent period can be obtained to build a usage habit model. This allows the usage habit model to include recent usage data, which can better predict users' forgetting behavior. For example, users' usage habits may change over time; if they are more relaxed recently, they may pause washing less frequently and for shorter periods. Using a usage habit model built from recent historical usage data to provide reminders will better meet users' expectations.

[0027] Optionally, different usage habit models can be established for different users in the household. Optionally, the washing equipment can be equipped with human body sensing devices to identify different users and thus obtain the corresponding user's usage habit model.

[0028] S102. Determine the user's current timed reminder threshold based on the usage habit model.

[0029] Once the user's usage habit model is obtained, the current timed reminder threshold for that user can be dynamically set based on that model.

[0030] For example, the washing pause duration, washing pause frequency, and user satisfaction with the timed reminder threshold used when forgetting to remind them during previous washing processes can be combined in the habit model to set a timed reminder threshold that conforms to the user's usage habits during the current washing process.

[0031] By setting timed reminder thresholds based on user habits, the reminder service can better match users' laundry habits, meet their personalized reminder needs, and improve the user experience.

[0032] S103. If the washing equipment is detected to enter a pause state during the washing stage, start the timer.

[0033] S104. When the timeout period exceeds the timed reminder threshold, send a reminder message to remind the user to continue washing.

[0034] If the washing machine is detected to have entered a paused state before the washing process has ended, a timer will be started. If the timer exceeds the user's current timed reminder threshold, indicating that the user may have forgotten to start the washing machine, a reminder message will be sent to the user to remind them to continue washing.

[0035] Optionally, the reminder information can be in the form of sound, text, or image. The washing equipment can be equipped with a display interface and a sound broadcasting device. The reminder information can be displayed on the display interface and broadcast aloud via the sound broadcasting device. It can also send reminder information to a smart terminal associated with the washing equipment.

[0036] The washing reminder method provided in this application establishes a user habit model and dynamically sets the user's current timed reminder threshold based on the user's usage habit model. When the pause time of the washing equipment exceeds the timed reminder threshold, a reminder message is sent to remind the user to continue washing, avoiding the problem of clothes being left for a long time due to forgetting, thus improving the user experience. Furthermore, the timed reminder threshold can be dynamically set for the user based on the user's actual usage habits, making the reminders more in line with the user's expectations and meeting the user's personalized reminder needs.

[0037] Users can perform corresponding actions when prompted by the washing machine (such as starting the washing machine, ignoring the reminder, or extending the pause time). After the action is performed, the washing machine records the user's action as a new usage history to optimize the user's usage habit model.

[0038] Based on the above embodiments, optionally, as follows: Figure 2 As shown, the above S101 may include:

[0039] S1011. Obtain the user's historical usage data within a preset time period.

[0040] S1012. Extract user washing behavior characteristics from historical usage data; wherein, washing behavior characteristics include at least one of pause duration, pause frequency, and pause type.

[0041] S1013. Construct a usage habit model based on washing behavior characteristics.

[0042] Specifically, each time a user washes a garment, the washing reminder device records the user's historical usage information. This information can include the washing program, washing parameters, washing duration, frequency of pauses and restarts, the time interval between pauses and restarts, the type of pause (e.g., user-triggered pause or pause due to equipment malfunction; optionally, the pause type can be obtained by analyzing the pause data of the washing equipment using machine learning algorithms), and other relevant information. After a period of use, the device can acquire historical usage data within a preset time period. Based on this historical data, statistical calculations are performed to determine the user's washing behavior characteristics, and a user habit model is established based on these characteristics.

[0043] The habit model can include at least one of the following washing behavior characteristics: pause duration, pause frequency, and pause type.

[0044] Optionally, the pause type may include a first pause action and a second pause action, wherein the first pause action is a pause action triggered by the user and the second pause action is a pause action triggered by a malfunction of the washing equipment.

[0045] For example, based on historical usage data, statistical calculations are performed to obtain the user's pause duration for each wash cycle, the reason / type of the pause (e.g., whether the pause is user-initiated or due to equipment malfunction), the average pause duration for each pause type, and the frequency of wash pauses. Thus, the user's usage habit model includes the type, duration, and frequency of wash pauses.

[0046] By building a user habit model, we can accurately identify users' forgetfulness behavior and provide personalized reminder services, thus avoiding the problem of clothes being left unattended for a long time due to forgetfulness and improving the user experience.

[0047] Based on the above embodiments, optionally, as follows: Figure 3 As shown, the above S102 may include:

[0048] S1021. Based on the usage habit model, obtain the first average pause duration for the first pause behavior and the second average pause duration for the second pause behavior.

[0049] Based on the usage habit model, the pause duration of the first pause behavior and the pause duration of the second pause behavior can be obtained for each user's washing. After statistical calculation, the first average pause duration for the first pause behavior and the second average pause duration for the second pause behavior can be obtained.

[0050] S1022. Based on the user's usage habit model of multiple associated users, determine the first weight coefficient corresponding to the first pause behavior and the second weight coefficient corresponding to the second pause behavior.

[0051] Specifically, the associated users here are those with the same / similar usage habits as the user to be reminded, such as multiple users belonging to the same household or multiple users from the same region. By comprehensively analyzing the usage habit model of each associated user, the first weight coefficient corresponding to the first pause behavior and the second weight coefficient corresponding to the second pause behavior are determined.

[0052] As an optional implementation, S1022 may include: based on the user's usage habit model of multiple associated users, obtaining the third average pause duration and the fourth average pause duration for each associated user for the first pause behavior and the second pause behavior; obtaining the average satisfaction of each associated user with the timed reminder threshold of historical reminder information; taking the average satisfaction of each associated user as the dependent variable and the third average pause duration and the fourth average pause duration of each associated user as independent variables, and obtaining the corresponding regression coefficients as the first weight coefficient and the second weight coefficient through a preset regression algorithm.

[0053] Optionally, the preset regression algorithm can be a multiple linear regression algorithm or other types of regression algorithms, which are not limited in this embodiment. Each time a user washes a product, the device can also record the user's satisfaction with the timed reminder threshold for each historical reminder message. Here, historical reminder messages refer to information used by the washing machine to remind the user to continue washing after the washing process is paused midway. Combining the satisfaction feedback from each instance, the average satisfaction of the user with the timed reminder threshold for all historical reminder messages is obtained. The average satisfaction of each user is used as the dependent variable, and the third and fourth average pause durations of each user are used as independent variables. The corresponding regression coefficients are obtained through the preset regression algorithm and used as the first and second weighting coefficients.

[0054] As another optional implementation, S1022 may include: based on the user's usage habit model of multiple associated users, obtaining the third average pause duration for each associated user for the first pause behavior and the fourth average pause duration for the second pause behavior; determining the first standard deviation of the multiple third average pause durations and the second standard deviation of the multiple fourth average pause durations respectively, and determining the first weighting coefficient and the second weighting coefficient based on the first standard deviation and the second standard deviation.

[0055] Optionally, the device may determine the first weighting coefficient and the second weighting coefficient based on the following formula or a variation thereof:

[0056] First weighting coefficient = 1 / (1 + second standard deviation / first standard deviation);

[0057] Second weighting coefficient = 1 / (1 + first standard deviation / second standard deviation).

[0058] By comprehensively determining the weighting coefficient through the usage habit data of multiple related users to be reminded and the satisfaction feedback on the timed reminder threshold for historical reminder information, or by the deviation between the usage habit data of multiple related users to be reminded, the accuracy of the weighting coefficient is improved.

[0059] S1023. Determine the user's current timed reminder threshold based on the first average pause duration, the second average pause duration, the first weighting coefficient, and the second weighting coefficient.

[0060] After obtaining the user's first average pause duration for the first pause action and the second average pause duration for the second pause action, the user's current timed reminder threshold can be determined based on the following formula:

[0061] The timed reminder threshold = first average pause duration * first weighting coefficient + second average pause duration * second weighting coefficient.

[0062] In some examples, when determining a user's current timed reminder threshold, the user's average pause frequency can be incorporated into the user's usage habit model, and a negative weighting coefficient can be applied to it. That is, the higher the pause frequency, the shorter the timed reminder threshold can be set, and the lower the pause frequency, the longer the timed reminder threshold can be set. Of course, it also needs to be determined in conjunction with other pause habit parameters of the user.

[0063] In this embodiment, the user's current timed reminder threshold is dynamically set using a habit model, which satisfies the user's personalized reminder needs and fully considers the impact of various pause types on the timed reminder threshold, making the determined timed reminder threshold more accurate.

[0064] In one embodiment, optionally, sending a reminder message when the timing time exceeds the timed reminder threshold in S104 may include: if it is determined that the washing equipment is not faulty when the timing time exceeds the timed reminder threshold, then sending a reminder message.

[0065] Specifically, when the timeout period exceeds the timed reminder threshold, the system determines whether the washing equipment is malfunctioning. If the washing equipment is not malfunctioning, it indicates that the user may have forgotten to start the washing equipment, and a reminder message is sent to remind the user to continue washing. If the washing equipment is malfunctioning, troubleshooting information is pushed to assist the user in resolving the equipment malfunction.

[0066] Sending reminders when a user forgets to wash clothes makes the reminders more targeted, avoids the problem of clothes remaining in the washing machine for a long time due to forgetfulness, and improves the user experience.

[0067] In one embodiment, optionally, if no instruction to continue washing is received from the user within a preset time after sending the reminder message, the fresh air / shaking function of the washing machine is activated to prevent clothes from piling up at the bottom, keep the clothes evenly moist, and prevent the clothes from developing odors.

[0068] Optionally, sending a reminder message when the timeout period exceeds the timed reminder threshold may include: sending a reminder message at a first sending frequency when the timeout period exceeds the timed reminder threshold; and sending a reminder message at a second sending frequency and simultaneously sending washing parameter optimization suggestions when no user's instruction to continue washing is received within a preset time period.

[0069] The second sending frequency is greater than the first sending frequency. That is, if no continuation washing instruction is received from the user within a preset time period, the frequency of sending reminder messages is increased until a continuation washing instruction is received, thereby improving the reminder effect.

[0070] In addition, if no continuation washing instruction is received from the user within a preset time period, the device can simultaneously send washing parameter optimization suggestions along with a reminder message. These suggestions include, but are not limited to, optimizations such as the washing duration for continued washing, whether detergent needs to be added, the washing water temperature, and the washing machine's rotation speed. For example, the optimization suggestions could include extending the washing duration for continued washing, increasing the rotation speed, and adding an appropriate amount of detergent.

[0071] By sending washing parameter optimization suggestions, the system compensates for odors and secondary contamination caused by clothes remaining in the washing machine for extended periods, thus improving washing performance. Furthermore, it simultaneously sends reminder messages and washing parameter optimization suggestions, combining them into a single message sent to the user, reducing the number of messages received and minimizing disruption.

[0072] In one embodiment, optionally, sending a reminder message when the timing time exceeds the timed reminder threshold may include: controlling the voice broadcasting device to send a reminder message with gradually increasing volume when the timing time exceeds the timed reminder threshold; controlling the voice broadcasting device to turn off / send a reminder message with gradually decreasing volume when a user is detected within a preset distance from the washing equipment; wherein the volume of the reminder message does not exceed a preset volume threshold.

[0073] In this embodiment, there are multiple ways to remind the user, such as through voice, alert sounds, or text messages. The reminder can continue until the user is detected within a preset distance of the washing equipment, at which point the reminder is turned off or its volume is reduced. The preset threshold can be set based on actual needs; for example, the preset distance can be set to 1 meter. When the user is within 1 meter of the washing equipment, it indicates that the user is already in front of the equipment, and the reminder can be turned off at this point.

[0074] To improve the effectiveness of reminders, when the timeout period exceeds the timed reminder threshold, the device can also control the voice broadcast device to send reminder messages with gradually increasing volume. When the user is detected within a preset distance of the washing equipment, the reminder is turned off to avoid excessive reminders that could lead to a poor user experience.

[0075] Figure 4 This is a schematic diagram of a washing reminder device provided in an embodiment of this application. Figure 4 As shown, the device may include: an acquisition module 401, a processing module 402, and a sending module 403.

[0076] Specifically, the acquisition module 401 is used to acquire the user's usage habit model;

[0077] The processing module 402 is used to determine the user's current timed reminder threshold based on the usage habit model, and to start timing when the washing equipment is detected to enter a pause state during the washing stage;

[0078] The sending module 403 is used to send a reminder message when the timeout period exceeds the timed reminder threshold, reminding the user to continue washing.

[0079] Based on the above embodiments, optionally, the acquisition module 401 is specifically used to acquire the user's historical usage data within a preset time period; extract the user's washing behavior characteristics from the historical usage data; wherein, the washing behavior characteristics include at least one of pause duration, pause frequency, and pause type; and construct the usage habit model based on the washing behavior characteristics.

[0080] Based on the above embodiments, optionally, the pause type includes a first pause behavior and a second pause behavior, wherein the first pause behavior is a pause behavior actively triggered by the user, and the second pause behavior is a pause behavior triggered by a malfunction of the washing equipment;

[0081] The processing module 402 is specifically used to obtain, based on the usage habit model, the first average pause duration for the user's first pause behavior and the second average pause duration for the second pause behavior; based on the usage habit model of multiple associated users of the user, determine the first weight coefficient corresponding to the first pause behavior and the second weight coefficient corresponding to the second pause behavior; and determine the user's current timed reminder threshold according to the first average pause duration, the second average pause duration, the first weight coefficient, and the second weight coefficient.

[0082] Optionally, based on the above embodiments, the processing module 402 is further configured to obtain, based on the usage habit model of multiple associated users of the user, a third average pause duration for each associated user for the first pause behavior and a fourth average pause duration for the second pause behavior; obtain the average satisfaction of each associated user with the timed reminder threshold of historical reminder information; and use the average satisfaction as the dependent variable, the third average pause duration and the fourth average pause duration as independent variables, and obtain the corresponding regression coefficients as the first weight coefficient and the second weight coefficient through a preset regression algorithm.

[0083] Optionally, based on the above embodiments, the processing module 402 is further configured to activate the fresh air / shaking function when no further washing instruction is received from the user within a preset time period.

[0084] Optionally, based on the above embodiments, the washing device includes a voice broadcasting device, and the sending module 403 is specifically used to control the voice broadcasting device to send the reminder information in a gradually increasing manner when the timing time exceeds the timed reminder threshold; wherein, the volume of the reminder information does not exceed a preset volume threshold; when the user is detected within a preset distance from the washing device, the voice broadcasting device is controlled to turn off / send the reminder information in a gradually decreasing manner.

[0085] Optionally, based on the above embodiments, the sending module 403 is further configured to send a reminder message at a first sending frequency when the timing time exceeds the timed reminder threshold; and to send the reminder message at a second sending frequency and simultaneously send washing parameter optimization suggestions when no continuation washing instruction from the user is received within a preset time period; wherein the second sending frequency is greater than the first sending frequency.

[0086] Figure 5A schematic diagram of the structure of an electronic device provided in an embodiment of this application, such as... Figure 5 As shown, the device includes a processor 50, a memory 51, an input device 52, and an output device 53; the number of processors 50 in the device can be one or more. Figure 5 Taking a processor 50 as an example; the processor 50, memory 51, input device 52, and output device 53 in this device can be connected via a bus or other means. Figure 5 Taking the example of a connection between China and Israel via a bus.

[0087] The memory 51, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the washing reminder method in the embodiments of this application (e.g., the acquisition module 401, processing module 402, and sending module 403 in the washing reminder device). The processor 50 executes various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory 51, thereby implementing the washing reminder method described above.

[0088] The memory 51 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a given function; the data storage area may store data created during the washing reminder process. Furthermore, the memory 51 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 51 may further include memory remotely located relative to the processor 50, which can be connected to a device / terminal / server via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0089] Input device 52 can be used to receive input digital or character information, and to generate key signal inputs related to user settings and function control of the electronic device. Output device 53 may include display devices such as a display screen.

[0090] In one embodiment, a computer-readable storage medium is also provided, on which a computer program is stored, the computer program performing the following steps when executed by a processor:

[0091] Obtain a user's usage habit model;

[0092] Based on the usage habit model, determine the user's current timed reminder threshold;

[0093] If the washing machine is detected to have entered a paused state during the washing phase, a timer will be started.

[0094] When the timeout period exceeds the timed reminder threshold, a reminder message is sent to remind the user to continue washing.

[0095] The washing reminder device, electronic device, and computer-readable storage medium provided in the above embodiments can execute the washing reminder method provided in any embodiment of this application, and have the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in the above embodiments can be found in the washing reminder method provided in any embodiment of this application.

[0096] Based on the above description of the implementation methods, those skilled in the art can clearly understand that this application can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of this application.

[0097] It is worth noting that the units and modules included in the above embodiments are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of this application.

[0098] Note that the above description is merely a preferred embodiment and the technical principles employed in this application. Those skilled in the art will understand that this application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments. Many other equivalent embodiments may be included without departing from the concept of this application, and the scope of this application is determined by the scope of the appended claims.

Claims

1. A washing reminder method, characterized in that, include: Obtain a user's usage habit model; Based on the usage habit model, determine the user's current timed reminder threshold; If the washing machine is detected to have entered a paused state during the washing phase, a timer will be started. When the timeout period exceeds the timed reminder threshold, a reminder message is sent to remind the user to continue washing.

2. The method according to claim 1, characterized in that, The user habit acquisition model includes: Obtain the user's historical usage data within a preset time period; Extract the user's washing behavior characteristics from the historical usage data; wherein, the washing behavior characteristics include at least one of the following: pause duration, pause frequency, and pause type; The usage habit model is constructed based on the washing behavior characteristics.

3. The method according to claim 2, characterized in that, The pause types include a first pause action and a second pause action. The first pause action is a pause action actively triggered by the user, and the second pause action is a pause action triggered by a malfunction of the washing equipment. Determining the user's current timed reminder threshold based on the usage habit model includes: Based on the usage habit model, the first average pause duration for the user's first pause behavior and the second average pause duration for the second pause behavior are obtained; Based on the user's usage habit model of multiple associated users, a first weight coefficient corresponding to the first pause behavior and a second weight coefficient corresponding to the second pause behavior are determined. The user's current timed reminder threshold is determined based on the first average pause duration, the second average pause duration, the first weighting coefficient, and the second weighting coefficient.

4. The method according to claim 3, characterized in that, The method of determining the first weight coefficient corresponding to the first pause behavior and the second weight coefficient corresponding to the second pause behavior based on the user's usage habit model of multiple associated users includes: Based on the user's usage habit model of multiple associated users, the third average pause duration for each associated user for the first pause behavior and the fourth average pause duration for the second pause behavior are obtained. Obtain the average satisfaction level of each associated user with the timed reminder threshold of historical reminder information; Using the average satisfaction rate as the dependent variable and the third average pause duration and the fourth average pause duration as independent variables, the corresponding regression coefficients are obtained through a preset regression algorithm and used as the first weight coefficient and the second weight coefficient.

5. The method according to any one of claims 1 to 4, characterized in that, Also includes: If no instruction to continue washing is received from the user within a preset time period, the fresh air / shaking function is activated.

6. The method according to any one of claims 1 to 4, characterized in that, The washing equipment includes a voice broadcast device, wherein when the timeout period exceeds the timed reminder threshold, a reminder message is sent, including: When the timeout period exceeds the timed reminder threshold, the voice broadcasting device is controlled to send the reminder information with gradually increasing volume; wherein the volume of the reminder information does not exceed a preset volume threshold. When the user is detected within a preset distance from the washing equipment, the voice broadcasting device is controlled to turn off / send the reminder message in a gradually decreasing volume manner.

7. The method according to any one of claims 1 to 4, characterized in that, The step of sending a reminder message when the timeout period exceeds the timed reminder threshold includes: When the timing period exceeds the timed reminder threshold, a reminder message is sent at a first sending frequency; If no instruction to continue washing is received from the user within a preset time period, the reminder information is sent at a second sending frequency, and washing parameter optimization suggestions are sent simultaneously; wherein, the second sending frequency is greater than the first sending frequency.

8. A washing reminder device, characterized in that, include: The acquisition module is used to acquire users' usage habit models; The processing module is used to determine the user's current timed reminder threshold based on the usage habit model, and to start timing when the washing equipment is detected to enter a pause state during the washing stage; The sending module is used to send a reminder message when the timeout period exceeds the timed reminder threshold, reminding the user to continue washing.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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