Laundry treatment method, apparatus, computer device, and storage medium

Abstract

This application relates to a method, apparatus, computer equipment, and storage medium for garment processing, belonging to the field of garment processing technology. The method includes: after a washing task is completed, detecting whether the laundry in the washing tub has been removed within a preset time period; if the laundry has not been removed, estimating the bacterial count in the washing tub; if the bacterial count exceeds a preset bacterial count threshold, performing a sterilization or drying operation on the laundry. This method can promptly sterilize or dry unremoved clothing, thereby inhibiting bacterial growth on the clothes.

Description

Technical Field

[0001] This application relates to the field of clothing processing technology, and in particular to a clothing processing method, apparatus, computer equipment, and storage medium. Background Technology

[0002] Washing machines have brought great convenience to people's lives and are an indispensable household appliance in modern life.

[0003] Typically, people start the washing machine and then do other things instead of waiting by it. This often leads to people forgetting to take the washed clothes out of the washing machine to hang them to dry.

[0004] Damp clothes left in the confined space of a washing machine for an extended period of time after washing can breed bacteria and easily develop unpleasant odors. Summary of the Invention

[0005] Therefore, it is necessary to provide a clothing processing method, apparatus, computer equipment, and storage medium to address the aforementioned technical problems.

[0006] In a first aspect, this application provides a method for processing clothing, which includes: after the washing task is completed, detecting whether the laundry in the washing tub has been removed within a preset time period; if the laundry has not been removed, estimating the bacterial count in the washing tub; if the bacterial count is greater than a preset bacterial count threshold, performing a sterilization operation or a drying operation on the laundry.

[0007] In one embodiment, estimating the bacterial count in the washing tub includes: obtaining the dwell time of the laundry in the washing tub and the temperature in the washing tub after the washing task is completed, and obtaining the target material information of the laundry; estimating the bacterial count based on the dwell time, temperature and target material information.

[0008] In one embodiment, the bacterial population size is estimated based on the retention time, temperature, and target material information, including: inputting the retention time, temperature, and target material information into a pre-trained microbial population prediction model to obtain the bacterial population size output by the microbial population prediction model.

[0009] In one embodiment, obtaining the target material information of the laundry includes: obtaining the role information of the target user who triggered the laundry task, the role information including the material information of the target user's frequently washed clothes; and using the material information of the frequently washed clothes as the target material information.

[0010] In one embodiment, the method further includes: obtaining the role information of the target user who triggered the laundry task, the role information including the target user's laundry habit information; determining the probability that the target user leaves the laundry in the washing tub for a longer period of time than a preset time, based on the indication of the laundry habit information; if the probability is greater than a preset probability threshold, then performing a sterilization operation or a drying operation on the laundry directly after the laundry task is completed.

[0011] In one embodiment, after performing a sterilization or drying operation on the laundry, the method further includes updating the target user's laundry habit information based on the length of time the laundry remains in the washing tub.

[0012] In one embodiment, obtaining the role information of the target user who triggered the laundry task includes: obtaining the user account information of the user who logged into the laundry application, and using the role information corresponding to the user account information as the role information of the target user; or, obtaining the voice command that triggered the laundry task, obtaining the voiceprint information corresponding to the voice command, and using the role information corresponding to the voiceprint information as the role information of the target user.

[0013] Secondly, this application also provides a garment processing device, which includes: a detection module for detecting whether the laundry in the washing tub has been removed within a preset time period after the washing task is completed; an estimation module for estimating the bacterial count in the washing tub if the laundry has not been removed; and an execution module for performing a sterilization operation or a drying operation on the laundry if the bacterial count is greater than a preset bacterial count threshold.

[0014] In one embodiment, the estimation module is specifically used to: obtain the dwell time of the laundry in the washing tub and the temperature in the washing tub after the laundry task is completed, and obtain the target material information of the laundry; and estimate the bacterial count based on the dwell time, temperature and target material information.

[0015] In one embodiment, the estimation module is specifically used to: input the residence time, temperature and target material information into a pre-trained microbial community prediction model to obtain the bacterial community quantity output by the microbial community prediction model.

[0016] In one embodiment, the estimation module is specifically used to: obtain the role information of the target user who triggered the laundry task, the role information including the material information of the target user's frequently washed clothes; and use the material information of the frequently washed clothes as the target material information.

[0017] In one embodiment, the device further includes: an acquisition module for acquiring role information of the target user who triggers the laundry task, the role information including the target user's laundry habit information; a determination module for determining, based on the indication of the laundry habit information, the probability that the target user leaves the laundry in the washing tub for a longer period than a preset time; and a direct execution module for performing a sterilization or drying operation on the laundry directly after the laundry task is completed if the probability is greater than a preset probability threshold.

[0018] In one embodiment, the device further includes an update module for updating the target user's laundry habit information based on the length of time the laundry is left in the washing tub.

[0019] In one embodiment, the estimation module is specifically used to: obtain user account information for logging into the laundry application, and use the role information corresponding to the user account information as the role information of the target user; or, obtain a sound command to trigger a laundry task, obtain the voiceprint information corresponding to the sound command, and use the role information corresponding to the voiceprint information as the role information of the target user.

[0020] Thirdly, this application also provides a computer device including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described in any of the first aspects above.

[0021] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any of the first aspects above.

[0022] The beneficial effects of the technical solutions provided in this application include at least the following:

[0023] In this embodiment, after the washing task is completed, it is detected whether the clothes in the washing tub have been removed within a preset time. If they are not removed, the bacterial count in the washing tub is estimated. If the bacterial count is greater than a preset bacterial count threshold, a sterilization or drying operation is performed on the clothes. Therefore, this embodiment promptly sterilizes or dries the clothes even if they are not removed in time, thereby inhibiting the growth of harmful bacteria on the clothes. Attached Figure Description

[0024] Figure 1 A schematic diagram of an implementation environment provided for an embodiment of this application;

[0025] Figure 2 A flowchart illustrating a clothing processing method provided in this application embodiment;

[0026] Figure 3 A flowchart illustrating a technical process for estimating bacterial population size, provided in an embodiment of this application;

[0027] Figure 4 A flowchart illustrating a garment processing technique provided in this application embodiment;

[0028] Figure 5 A flowchart illustrating another clothing processing method provided in this application embodiment;

[0029] Figure 6 A flowchart illustrating another clothing processing method provided in this application embodiment;

[0030] Figure 7 A block diagram of a garment processing device provided in an embodiment of this application;

[0031] Figure 8 A block diagram of another garment processing apparatus provided in the embodiments of this application;

[0032] Figure 9 This is an internal structural diagram of a computer device provided in an embodiment of this application. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0034] Washing machines have brought great convenience to people's lives and are an indispensable household appliance in modern life.

[0035] Typically, people start the washing machine and then do other things instead of waiting by it. This often leads to people forgetting to take the washed clothes out of the washing machine to hang them to dry.

[0036] Damp clothes left in the confined space of a washing machine for an extended period of time after washing can breed bacteria and easily develop unpleasant odors.

[0037] In view of this, embodiments of this application provide a clothing processing method, apparatus, computer equipment, and storage medium. This processing method can perform sterilization or drying operations on clothing in a timely manner when the clothing is not removed in time, thereby inhibiting the generation of harmful bacteria on the clothing.

[0038] Please see Figure 1 It shows a schematic diagram of the implementation environment involved in the clothing processing method provided in the embodiments of this application, such as... Figure 1As shown, the implementation environment includes a target washing machine 101 and a terminal device 102. The target washing machine 101 can communicate with the terminal device 102, and the terminal device 102 can control the target washing machine 101 to perform operations such as washing, drying, or sterilization. It should be noted that the terminal device 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices.

[0039] Please see Figure 2 The document illustrates a flowchart of a clothing treatment method provided in an embodiment of this application, which can be applied to... Figure 1 The target washing machine is shown. (As shown) Figure 2 As shown, the garment treatment method may include the following steps:

[0040] Step 201: After the washing task is completed, the target washing machine checks whether the laundry in the washing tub has been removed within a preset time period.

[0041] The preset duration can be a duration determined by a large amount of experimental data that ensures the number of bacteria in the washing tub is less than a preset bacterial count threshold, or it can be a duration selected by the target user based on recommendations from the washing application on the terminal device, or it can be a duration set by the target user themselves.

[0042] In optional embodiments of this application, the determination of whether the laundry has been removed from the washing tub can be made by detecting the weight of the tub, or by detecting the state of the target washing machine lid. The weight of the washing tub can be detected using an electronic scale, which is sealed and installed at the bottom of the tub. Optionally, the scale can be set to read zero when there are no clothes in the tub; if the weight read is greater than zero, it indicates that there are clothes in the tub. Alternatively, the state of the target washing machine lid can also be used to determine whether the laundry has been removed. If the lid remains closed after the washing cycle is completed, it indicates that the clothes have not been removed; if the lid is opened after the washing cycle is completed, it indicates that the clothes have been removed.

[0043] Step 202: If the laundry is not removed, the target washing machine estimates the bacterial count in the washing tub.

[0044] Among these parameters, bacterial count indicates the degree of bacterial contamination of clothing. Because clothes left in a sealed washing tub for an extended period after washing are highly susceptible to the growth of harmful bacteria, posing a risk to human health, it is essential to estimate the bacterial count inside the washing tub before the clothes are removed.

[0045] Step 203: If the bacterial count is greater than the preset bacterial count threshold, the target washing machine will perform a sterilization operation or a drying operation on the laundry.

[0046] The preset bacterial count threshold can be a value obtained based on a large amount of experimental data and experiments conducted on a certain platform. This value, obtained through experiments, ensures that even if the clothes are not sterilized or dried, human health will not be harmed if the bacterial count is below this value. Optionally, the preset bacterial count threshold can also be a value set by the target user. The target user can set the preset bacterial count threshold through the laundry application in the terminal device according to their own needs. For example, if the target user is a very clean person or someone who is very prone to allergies to harmful bacteria, then the preset bacterial count threshold set by the target user can be very small.

[0047] In an optional embodiment of this application, before performing the drying operation on the laundry, it is necessary to determine the material of the clothing. This is because some materials are not suitable for drying, such as wool and silk. Furthermore, it is necessary to determine whether the target washing machine has a built-in drying function. If the target washing machine does not have a drying function, the drying operation cannot be performed. Therefore, when the bacterial count exceeds a preset bacterial count threshold, the following handling methods can be summarized: 1. If the target washing machine does not have a drying function, the target washing machine performs a sterilization operation on the laundry; 2. If the target washing machine has a drying function, but the laundry cannot be dried, the target washing machine performs a sterilization operation on the laundry; 3. If the target washing machine has a drying function, and the laundry can be dried, the target washing machine performs either a sterilization operation or a drying operation on the laundry.

[0048] Optionally, the target washing machine can be equipped with several sterilization operations, including ultraviolet sterilization, ozone sterilization, or sterilizing liquid sterilization. The sterilizing liquid is a bactericidal liquid, optionally placed in a fixed, sealed space within the washing machine. When the sterilizing liquid sterilization operation is triggered, the sterilizing liquid flows out from this space, thereby achieving sterilization of the washed clothes. Furthermore, the sterilization method can be selected based on the weight of the clothes in the washing tub. For example, if the clothes are heavy, indicating a large quantity, sterilizing liquid sterilization can be performed for thorough sterilization. If the clothes are light, ultraviolet sterilization or ozone sterilization can be performed. In this embodiment, by setting different sterilization methods in the target washing machine, the sterilization of the washed clothes can be made more efficient and thorough.

[0049] In this embodiment, after the washing task is completed, it is detected whether the clothes in the washing tub have been removed within a preset time. If they are not removed, the bacterial count in the washing tub is estimated. If the bacterial count is greater than a preset bacterial count threshold, a sterilization or drying operation is performed on the clothes. Therefore, this embodiment promptly sterilizes or dries the clothes even if they are not removed in time, thereby inhibiting the growth of harmful bacteria on the clothes.

[0050] Please see Figure 3 This illustrates an exemplary technical process for estimating bacterial community size provided in an embodiment of this application. For example... Figure 3 As shown, the technical process for estimating bacterial population size may include the following steps:

[0051] Step 301: The target washing machine obtains the duration of the laundry in the washing tub and the temperature inside the tub after the washing task is completed, and obtains the target material information of the laundry.

[0052] The temperature inside the washing tub can be obtained by a temperature sensor installed inside the tub. In an optional embodiment of this application, obtaining the target material information of the laundry may include the following steps:

[0053] First, the target washing machine obtains the role information of the target user who triggered the washing task.

[0054] The role information may include the material information of the target user's frequently washed clothes and the target user's laundry habits. In an optional embodiment of this application, the method of obtaining the role information of the target user who triggers the laundry task may include:

[0055] Method 1: The target washing machine obtains the user account information logged into the washing application and uses the corresponding role information as the target user's role information. Because the target washing machine and the terminal device can communicate, the terminal device can transmit the user account information from the washing application to the target washing machine. This user account information consists of what the target user inputs in the washing application on the terminal device, and may include information such as the material of the target user's frequently washed clothes, the target user's washing habits, and the target user's age.

[0056] Method Two: The target washing machine acquires the voice command to trigger the washing task and obtains the corresponding voiceprint information. The role information corresponding to the voiceprint information is then used as the target user's role information. Optionally, the target washing machine can be controlled by voice. During this process, the washing machine acquires the voice command to trigger the washing task and obtains the corresponding voiceprint information. The role information corresponding to this voiceprint information can be used as the target user's role information. Specifically, the role information corresponding to the voiceprint information can be the material information of the target user's frequently washed clothes and the target user's washing habits, which are input into the washing machine by the target user when controlling it via voice. In other words, the target washing machine can be a washing machine with a screen. Optionally, the screen can be an LCD screen or an e-ink screen, and the screen is covered with a touch layer to allow information input into the washing machine.

[0057] Secondly, the material information of frequently washed clothes is used as the target material information.

[0058] Among them, the material information of frequently washed clothes is the material information of most of the target user's clothes. Using the material information of frequently washed clothes as the target material information can accurately determine whether the clothes can be dried.

[0059] Step 302: The target washing machine estimates the bacterial count based on the dwell time, temperature, and target material information.

[0060] In an optional embodiment of this application, the target washing machine is equipped with a pre-trained microbial community prediction model. The microbial community prediction model is used to estimate the amount of bacteria in the clothes in the washing tub. The input variables of the microbial community prediction model are the dwell time of the clothes in the washing tub, the temperature in the washing tub, and the target material information of the clothes. The output is the amount of bacteria in the clothes.

[0061] Based on the information obtained in step 301 regarding the dwell time of the laundry in the washing tub, the temperature inside the washing tub, and the target material of the laundry, the target washing machine inputs the dwell time, temperature, and target material information into a pre-trained microbial community prediction model, which can then output the bacterial community quantity.

[0062] In this embodiment of the application, by obtaining the bacterial count of the laundry, a data basis can be provided for subsequent sterilization or drying operations, making the execution of sterilization or drying operations more accurate.

[0063] Please see Figure 4 This illustrates an exemplary garment processing technique provided in an embodiment of this application. For example... Figure 4 As shown, the technical process may include the following steps:

[0064] Step 401: The target washing machine obtains the role information of the target user who triggered the washing task. The role information includes the target user's washing habits.

[0065] The target user's laundry habit information can be the laundry habit information input by the target user through a laundry application on the terminal device, or it can be the laundry habit information learned by the target washing machine or terminal device through performing several laundry tasks for the target user. Optionally, the laundry habit information may include the total number of times the target user performs the laundry operation, the duration of the laundry in the washing tub, the number of times the target user selects both the washing and drying operations simultaneously, the number of times the target user selects both the washing and sterilization operations simultaneously, or the number of times the target user selects the washing, drying, and sterilization operations simultaneously.

[0066] Step 402: Based on the washing habit information, the target washing machine determines the probability that the target user will leave the laundry in the washing tub for a longer period than the preset time.

[0067] Based on the target user's laundry habit information obtained above, the target washing machine can determine the probability that the target user leaves the laundry in the washing tub for a longer period than a preset time. Optionally, the steps for determining this probability are: first, obtaining all the number of times the target user performs the laundry operation; second, determining the number of times the target user leaves the laundry in the washing tub for a longer period than the preset time; finally, calculating the ratio of the number of times the laundry is longer than the preset time to all the times, which is the probability that the target user leaves the laundry in the washing tub for a longer period than the preset time. The method for determining the probability that the target user leaves the laundry in the washing tub for a longer period than the preset time is not limited to the method proposed in the embodiments of this application, and this application does not limit it in this way.

[0068] Step 403: If the probability is greater than the preset probability threshold, the target washing machine will directly perform sterilization or drying operations on the washed clothes after the washing task is completed.

[0069] The preset probability threshold can be a value obtained based on a large amount of experimental data and experiments conducted on a specific platform, or it can be a fixed value set by the user. If the probability that the target user leaves the laundry in the washing tub for a longer period than the preset time is greater than the preset probability threshold, it indicates that the target user frequently leaves the laundry in the washing tub for extended periods. In this case, it is not necessary to estimate the bacterial count of the laundry; instead, a sterilization or drying operation can be directly performed on the target user's laundry. This simplifies the calculation process in the target washing machine, improves its efficiency, and prevents the growth of harmful bacteria in the laundry.

[0070] Optionally, after each sterilization or drying operation, the target washing machine can acquire washing habit information such as the duration the laundry has been in the washing tub, and continuously update the target user's washing habit information based on this information. This allows the target washing machine to obtain more accurate washing habit information, which forms the data foundation for subsequent operations, thus improving the washing machine's efficiency.

[0071] In addition, if the probability that the target user leaves the laundry in the washing tub for a longer period than the preset time is greater than the preset probability threshold, the target washing machine can immediately issue a prompt sound or send a prompt instruction to the washing application on the terminal device after each washing task is completed, so that the target user can be prompted to take out the clothes in time through the washing application.

[0072] Please see Figure 5 The document illustrates a flowchart of a clothing treatment method provided in an embodiment of this application, which can be applied to... Figure 1 The target washing machine is shown. (As shown) Figure 5 As shown, the garment treatment method may include the following steps:

[0073] Step 501: After the washing machine completes the washing task, it checks whether the laundry in the washing tub has been removed within a preset time period.

[0074] Step 502: If the laundry is not removed, the target washing machine obtains the role information of the target user who triggered the washing task from the terminal device. The role information includes the material information of the target user's frequently washed laundry.

[0075] Step 503: The target washing machine uses the material information of the frequently washed clothes as the target material information, and obtains the dwell time of the washed clothes in the washing tub and the temperature inside the washing tub.

[0076] Step 504: The target washing machine inputs the obtained residence time, temperature and target material information into the pre-trained microbial community prediction model to obtain the bacterial community quantity output by the microbial community prediction model.

[0077] Step 505: If the bacterial count is greater than the preset bacterial count threshold, the target washing machine will perform a sterilization operation or a drying operation on the laundry.

[0078] In an optional embodiment of this application, the target washing machine can be controlled via a cloud platform to perform washing, drying, or sterilization operations. Please refer to [link to relevant documentation]. Figure 6 It shows a flowchart of another clothing treatment method. For example... Figure 6 As shown, the cloud platform can obtain user account information entered by the user and use this information to generate role information, while simultaneously learning the target user's laundry habits. This laundry habit information is obtained by the cloud platform through learning the user account information. Optionally, if the cloud platform determines that the washing machine lid has not been opened for an extended period after the washing task is completed, or that the washing machine has excessive bacteria, the cloud platform can send a sterilization command to the target washing machine. Upon receiving the sterilization command, the target washing machine will begin the sterilization operation. Optionally, after each sterilization operation, the cloud platform can obtain the target user's laundry habit information from the target washing machine, thereby continuously updating the target user's laundry habit information. Furthermore, the cloud platform can also use the target user's laundry habit information to determine if the target user frequently forgets to remove clothes. If so, the cloud platform can automatically generate a wash completion reminder command and send it to the target washing machine. Upon receiving the command, the target washing machine will emit a notification sound to the target user.

[0079] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0080] Please see Figure 7 The diagram shows a block diagram of a clothing processing device 700 provided in an embodiment of this application. The clothing processing device 700 is used in a target washing machine and includes a detection module 701, an estimation module 702, and an execution module 703.

[0081] The detection module 701 is used to detect whether the laundry in the washing tub has been removed within a preset time after the washing task is completed; the estimation module 702 is used to estimate the bacterial count in the washing tub if the laundry has not been removed; and the execution module 703 is used to perform sterilization or drying operations on the laundry if the bacterial count is greater than a preset bacterial count threshold.

[0082] In one optional embodiment of this application, the estimation module 702 is specifically used to: obtain the dwell time of the laundry in the washing tub and the temperature in the washing tub after the laundry task is completed, and obtain the target material information of the laundry; and estimate the bacterial count based on the dwell time, temperature and target material information.

[0083] In an optional embodiment of this application, the estimation module 702 is specifically used to: input the retention time, temperature and target material information into a pre-trained microbial community prediction model to obtain the bacterial community quantity output by the microbial community prediction model.

[0084] In an optional embodiment of this application, the estimation module 702 is specifically used to: obtain the role information of the target user who triggers the laundry task, the role information including the material information of the target user's frequently washed clothes; and use the material information of the frequently washed clothes as the target material information.

[0085] In an optional embodiment of this application, the estimation module 702 is specifically used to: obtain user account information of the logged-in laundry application and use the role information corresponding to the user account information as the role information of the target user; or, obtain a sound command to trigger a laundry task and obtain the voiceprint information corresponding to the sound command, and use the role information corresponding to the voiceprint information as the role information of the target user.

[0086] Please see Figure 8 The diagram shows a block diagram of another clothing processing device 800 provided in the embodiments of this application. In addition to the modules of the clothing processing device 700, the clothing processing device 800 also includes an acquisition module 704, a determination module 705, a direct execution module 706, and an update module 707.

[0087] The system includes: an acquisition module 704, which moves to the target location based on the target location information to repair any faults at the target location; a determination module 705, which determines the probability that the target user leaves the laundry in the washing tub for a longer period than a preset time, based on the laundry habit information; a direct execution module 706, which, if the probability is greater than a preset probability threshold, directly performs a sterilization or drying operation on the laundry after the laundry task is completed; and an update module 707, which updates the target user's laundry habit information based on the length of time the laundry is left in the washing tub.

[0088] The clothing processing device provided in this application embodiment can implement the above method embodiment, and its implementation principle and technical effect are similar, so it will not be described again here.

[0089] Specific limitations regarding the garment processing device can be found in the limitations of the garment processing method described above, and will not be repeated here. Each module in the aforementioned garment processing device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0090] In one embodiment, a computer device is provided, which may be a target washing machine, and its internal structure diagram may be as follows: Figure 9 As shown, the computer device includes a processor, memory, communication interface, display screen, and input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a clothing processing method. The display screen can be an LCD screen or an e-ink screen, and the input device can be a touch layer covering the display screen.

[0091] Those skilled in the art will understand that Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0092] In one embodiment of this application, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to perform the following steps: after the washing task is completed, it detects whether the laundry in the washing tub has been removed within a preset time period; if the laundry has not been removed, it estimates the bacterial count in the washing tub; if the bacterial count is greater than a preset bacterial count threshold, it performs a sterilization operation or a drying operation on the laundry.

[0093] In one embodiment of this application, the processor, when executing the computer program, further implements the following steps: obtaining the dwell time of the laundry in the washing tub and the temperature inside the washing tub after the washing task is completed, and obtaining the target material information of the laundry; estimating the bacterial population based on the dwell time, temperature and target material information.

[0094] In one embodiment of this application, when the processor executes the computer program, it also performs the following steps: inputting the residence time, temperature and target material information into a pre-trained microbial community prediction model to obtain the bacterial community quantity output by the microbial community prediction model.

[0095] In one embodiment of this application, the processor, when executing a computer program, further implements the following steps: obtaining the role information of the target user who triggers the laundry task, the role information including the material information of the target user's frequently washed clothes; and using the material information of the frequently washed clothes as the target material information.

[0096] In one embodiment of this application, when the processor executes the computer program, it further implements the following steps: obtaining the role information of the target user who triggers the laundry task, the role information including the laundry habit information of the target user; determining the probability that the target user leaves the laundry in the washing tub for a longer period of time than a preset time, based on the indication of the laundry habit information; if the probability is greater than a preset probability threshold, then performing a sterilization operation or a drying operation on the laundry directly after the laundry task is completed.

[0097] In one embodiment of this application, the processor, when executing a computer program, also performs the following steps: updating the target user's laundry habit information based on the length of time the laundry is left in the washing tub.

[0098] In one embodiment of this application, when the processor executes the computer program, it further implements the following steps: obtaining user account information for logging into the laundry application, and using the role information corresponding to the user account information as the role information of the target user; or, obtaining a sound command to trigger a laundry task, obtaining the voiceprint information corresponding to the sound command, and using the role information corresponding to the voiceprint information as the role information of the target user.

[0099] The computer device provided in this application embodiment has a similar implementation principle and technical effect to the above method embodiment, and will not be described again here.

[0100] In one embodiment of this application, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, it performs the following steps:

[0101] The memory stores a computer program, and when the processor executes the computer program, it performs the following steps: after the washing task is completed, it detects whether the laundry in the washing tub has been removed within a preset time; if the laundry has not been removed, it estimates the bacterial count in the washing tub; if the bacterial count is greater than a preset bacterial count threshold, it performs a sterilization operation or a drying operation on the laundry.

[0102] In one embodiment of this application, when the computer program is executed by the processor, it further performs the following steps: obtaining the dwell time of the laundry in the washing tub and the temperature in the washing tub after the washing task is completed, and obtaining the target material information of the laundry; estimating the bacterial population based on the dwell time, temperature and target material information.

[0103] In one embodiment of this application, when the computer program is executed by the processor, it further performs the following steps: inputting the residence time, temperature and target material information into a pre-trained microbial community prediction model to obtain the bacterial community quantity output by the microbial community prediction model.

[0104] In one embodiment of this application, when the computer program is executed by the processor, it further performs the following steps: obtaining the role information of the target user who triggers the laundry task, the role information including the material information of the target user's frequently washed clothes; and using the material information of the frequently washed clothes as the target material information.

[0105] In one embodiment of this application, when the computer program is executed by the processor, it further implements the following steps: obtaining the role information of the target user who triggers the laundry task, the role information including the laundry habit information of the target user; determining the probability that the target user leaves the laundry in the washing tub for a longer period of time than a preset time, based on the indication of the laundry habit information; if the probability is greater than a preset probability threshold, then performing a sterilization operation or a drying operation on the laundry directly after the laundry task is completed.

[0106] In one embodiment of this application, when the computer program is executed by the processor, it further implements the following steps: updating the laundry habit information of the target user based on the length of time the laundry is left in the washing tub.

[0107] In one embodiment of this application, when the computer program is executed by the processor, it further performs the following steps: obtaining user account information for logging into the laundry application, and using the role information corresponding to the user account information as the role information of the target user; or, obtaining a sound command to trigger a laundry task, obtaining the voiceprint information corresponding to the sound command, and using the role information corresponding to the voiceprint information as the role information of the target user.

[0108] The computer-readable storage medium provided in this embodiment is similar in principle and technical effect to the method embodiment described above, and will not be repeated here.

[0109] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0110] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0111] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for treating clothing, characterized in that, The method includes: Obtain the role information of the target user who triggered the laundry task, the role information including the target user's laundry habit information; Based on the instructions of the laundry habit information, determine the probability that the target user will leave the laundry in the washing tub for a longer than a preset time. If the probability is greater than the preset probability threshold, then after the laundry task is completed, a sterilization operation or a drying operation is directly performed on the laundry. If the probability is less than or equal to the preset probability threshold, then after the washing task is completed, it is detected whether the laundry in the washing tub has been removed within a preset time period. If the laundry is not removed, estimate the bacterial count inside the washing tub; If the bacterial count is greater than a preset bacterial count threshold, then a sterilization or drying operation is performed on the laundry.

2. The method according to claim 1, characterized in that, The estimation of the bacterial count in the washing tub includes: The system obtains the duration of time the laundry was left in the washing tub and the temperature inside the washing tub after the laundry task was completed, and also obtains the target material information of the laundry. The bacterial population size is estimated based on the retention time, the temperature, and the target material information.

3. The method according to claim 2, characterized in that, The step of estimating the bacterial population based on the retention time, the temperature, and the target material information includes: The retention time, temperature, and target material information are input into a pre-trained microbial community prediction model to obtain the bacterial community quantity output by the microbial community prediction model.

4. The method according to claim 2, characterized in that, The process of obtaining the target material information of the garment to be washed includes: Obtain the role information of the target user who triggered the laundry task, the role information including the material information of the target user's frequently washed clothes; The material information of the frequently washed garment is used as the target material information.

5. The method according to claim 1, characterized in that, The bacterial count indicates the degree to which clothing is contaminated with bacteria.

6. The method according to claim 1, characterized in that, After performing sterilization or drying operations on the laundry, the method further includes: The laundry habit information of the target user is updated based on the length of time the laundry is left in the washing tub.

7. The method according to claim 1, characterized in that, The step of obtaining the role information of the target user who triggered the laundry task includes: Obtain the user account information of the logged-in laundry application, and use the role information corresponding to the user account information as the role information of the target user; or... Obtain the sound command that triggers the laundry task, and obtain the voiceprint information corresponding to the sound command. Use the role information corresponding to the voiceprint information as the role information of the target user.

8. A garment processing device, characterized in that, The device includes: The acquisition module is used to acquire the role information of the target user who triggered the laundry task, the role information including the laundry habit information of the target user; The determination module is used to determine, based on the indication of the laundry habit information, the probability that the target user leaves the laundry in the washing tub for a longer period than a preset time; The direct execution module is used to perform a sterilization operation or a drying operation on the laundry directly after the laundry task is completed, if the probability is greater than a preset probability threshold. The detection module is used to detect whether the laundry items in the washing tub have been removed within a preset time period after the washing task is completed, if the probability is less than or equal to the preset probability threshold. An estimation module is used to estimate the bacterial count in the washing tub if the laundry is not removed. The execution module is used to perform a sterilization operation or a drying operation on the laundry if the bacterial count is greater than a preset bacterial count threshold.

9. A computer device, characterized in that, It includes a memory and a processor, the memory storing a computer program that, when executed by the processor, implements the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the method as described in any one of claims 1 to 7.

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