Washing control method and apparatus, electronic device and storage medium

Abstract

A washing control method and apparatus, an electronic device and a storage medium, relating to the technical field of electronics. The washing control method comprises: performing image recognition on an image of at least one piece of clothing to be washed that is placed into a laundry machine, so as to obtain clothing parameters of said clothing; determining washing parameters of the laundry machine on the basis of the clothing parameters, wherein after said clothing is washed by means of using the washing parameters, the cleanliness of said clothing is higher than a preset cleanliness threshold and the damage level thereof is lower than a preset damage level threshold; and controlling the laundry machine to wash said clothing by means of using the washing parameters. The solution can improve the washing effect of the laundry machine, and avoid damage to clothing, thus improving the user experience.

Description

Washing control methods, devices, electronic equipment and storage media Technical Field

[0001] This application relates to the field of electronic technology, and in particular to a washing control method, apparatus, electronic device and storage medium. Background Technology

[0002] Washing machines, dryers, and other laundry equipment have become necessities in daily life. Using laundry equipment saves physical labor and is more water-efficient than hand washing. Through continuous development and technological advancements, laundry equipment is gradually moving towards intelligent operation while improving its washing functions. In particular, the rapid development of artificial intelligence technology has highlighted the growing demand for intelligent laundry equipment. However, some laundry equipment has fixed washing parameters that cannot be adapted to different types of clothing, making it difficult to achieve optimal washing results. This can lead to incomplete washing, excessive wear and tear on clothes, and water waste. Especially when washing a mixture of clothes of different materials and colors simultaneously, the different washing parameters required for each type of garment make it difficult for non-professional users to select the appropriate settings.

[0003] Current research on the selection of washing parameters for laundry equipment is still in a relatively early stage. It mainly involves weighing the clothes to determine the weight and then adjusting the water intake and detergent dosage. There is no good solution yet for how to select the right washing parameters for the clothes.

[0004] Summary of the Invention

[0005] This application provides a washing control method, apparatus, electronic device, and storage medium, which can not only improve the washing effect of clothing washing equipment, but also prevent damage to clothing and improve the user experience.

[0006] In a first aspect, this application provides a washing control method, comprising:

[0007] Image recognition is performed on an image of at least one garment to be washed placed in a laundry equipment to obtain garment parameters for at least one garment to be washed.

[0008] The washing parameters of the laundry washing equipment are determined based on the clothing parameters. After washing at least one garment with the washing parameters, the cleanliness of at least one garment is higher than the preset cleanliness threshold and the damage is lower than the preset damage threshold.

[0009] Control the laundry equipment to wash at least one garment using washing parameters.

[0010] In some embodiments, prior to image recognition of an image of at least one garment to be washed placed in the laundry apparatus, the method further includes:

[0011] Acquire an image of at least one garment to be washed, placed inside the laundry equipment.

[0012] In some embodiments, acquiring an image of at least one garment to be washed, placed in a laundry appliance, includes:

[0013] When at least one item of clothing to be washed is placed into the laundry equipment, an image acquisition device acquires an image of at least one item of clothing to be washed.

[0014] And / or after at least one garment to be washed is placed in the washing machine and the washing machine door is closed, the inner drum of the washing machine is controlled to rotate a preset number of times, and during the rotation, an image acquisition device is used to acquire an image of at least one garment to be washed.

[0015] In some embodiments, the image acquisition device is disposed at the inlet of the inner drum of the laundry equipment, or the image acquisition device is disposed at both the door inlet of the laundry equipment and inside the inner drum of the laundry equipment.

[0016] In some embodiments, image recognition is performed on an image of at least one garment to be washed to obtain garment parameters for at least one garment to be washed, including:

[0017] Image recognition is performed on at least one image of at least one garment to be washed, and the image recognition results of at least one image are combined and processed to obtain the garment parameters of each garment in at least one garment to be washed.

[0018] In some embodiments, determining the washing parameters of the laundry washing equipment based on the clothing parameters includes:

[0019] By inputting the clothing parameters into the washing parameter machine learning model, the washing parameters of the clothing washing equipment can be obtained.

[0020] In some embodiments, before controlling the laundry equipment to wash at least one garment using washing parameters, the system further includes:

[0021] Obtain user-inputted voice control commands;

[0022] It recognizes voice control commands to determine the user's personalized washing needs;

[0023] The washing parameters of the laundry equipment are adjusted according to individual washing needs to obtain the adjusted washing parameters;

[0024] Controlling laundry equipment to wash at least one garment using washing parameters includes:

[0025] Control the laundry equipment to wash at least one garment using modified washing parameters.

[0026] In some embodiments, obtaining user-inputted voice control commands includes:

[0027] By interacting with users via voice, the system uses a natural language processing model to analyze the user's voice input and identify the user's voice control commands.

[0028] In some embodiments, before obtaining the user's voice control command, the method further includes: displaying washing parameters to the user.

[0029] In some embodiments, clothing parameters include at least one of the following: clothing type, clothing color, clothing material, and clothing quantity.

[0030] In some embodiments, the washing parameters include at least one of the following: washing time, washing water volume, washing temperature, detergent dosage, washing rotation parameters, spin-drying time, spin-drying quantity, and spin-drying rotation parameters.

[0031] A second aspect of this application provides a washing control device applied to the washing control method provided in the first aspect, the device comprising:

[0032] The image recognition module is used to perform image recognition on at least one garment to be washed in the laundry equipment to obtain the garment parameters of at least one garment to be washed.

[0033] The washing parameter determination module is used to determine the washing parameters of the clothing washing equipment based on the clothing parameters. After washing at least one piece of clothing with the washing parameters, the cleanliness of at least one piece of clothing is higher than the preset cleanliness threshold and the damage is lower than the preset damage threshold.

[0034] The washing control module is used to control the laundry equipment to wash at least one garment using washing parameters.

[0035] A third aspect of this application provides an electronic device, the electronic device comprising:

[0036] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the washing control method provided in the first aspect of this application.

[0037] In a fourth aspect, this application provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the washing control method provided in the first aspect of this application.

[0038] The technical solution of this application embodiment first performs image recognition on the image of at least one garment to be washed placed in the laundry equipment to obtain the garment parameters of at least one garment to be washed. Then, the washing parameters of the laundry equipment are determined according to the garment parameters. After washing at least one garment to be washed using the washing parameters, the cleanliness of at least one garment to be washed is higher than a preset cleanliness threshold and the damage is lower than a preset damage threshold. Finally, the laundry equipment is controlled to wash at least one garment to be washed using the washing parameters.

[0039] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0040] Figure 1 is a schematic flowchart of a washing control method provided in an embodiment of this application;

[0041] Figure 2 is a schematic flowchart of another washing control method provided in an embodiment of this application;

[0042] Figure 3 is a schematic diagram of a washing control device provided in an embodiment of this application;

[0043] Figure 4 is a schematic diagram of another washing control device provided in an embodiment of this application;

[0044] Figure 5 is a schematic diagram of the structure of an electronic device that can be used to implement the embodiments of this application. Detailed Implementation

[0045] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0046] Figure 1 is a schematic flowchart of a washing control method provided in an embodiment of this application. As shown in Figure 1, the washing control method provided in this embodiment includes:

[0047] S110: Perform image recognition on the image of at least one garment to be washed placed in the laundry equipment to obtain the garment parameters of at least one garment to be washed.

[0048] The washing control method provided in this application embodiment is applicable to any type of clothing washing equipment such as washing machines, dryers, and washer-dryer combos. The washing control method provided in this application embodiment will be described below using a washing machine as an example.

[0049] Because different garments have different materials, types, colors, and other parameters, the optimal washing parameters also vary. For example, cotton and silk garments require different washing speeds; using a higher speed for silk garments may damage them. Furthermore, dark-colored garments are not suitable for prolonged soaking to prevent color fading. In other words, different washing parameters are needed when using laundry equipment to wash different types of clothing to achieve the best washing results.

[0050] Traditional laundry appliances offer a variety of washing parameters, such as different washing times, spin speeds, and water volumes. However, these parameters need to be manually set by the user based on experience, or only a few preset washing programs are available for selection, each with pre-defined parameters. On the one hand, users lacking professional knowledge may find it difficult to select the washing parameters best suited to their laundry. On the other hand, most users habitually put multiple items of clothing into the laundry appliance at the same time without precise sorting, making it difficult for preset washing programs to adapt to the washing needs of various clothing types, potentially affecting washing results or even damaging garments.

[0051] Therefore, this embodiment of the application improves the washing effect of laundry by performing image recognition on the clothes to be washed placed in the laundry equipment to determine the washing parameters matching the clothes. For at least one piece of laundry placed in the laundry equipment, an image of at least one piece of laundry can be acquired, and then image recognition can be performed on the image of at least one piece of laundry to obtain the clothing parameters of at least one piece of laundry. The method for performing image recognition on the image of at least one piece of laundry can adopt any existing image recognition method, such as using an image recognition model based on a deep neural network to perform image recognition on the input image of laundry. The clothing parameters of the laundry include at least one of the following: clothing type, clothing color, clothing material, and clothing quantity. The clothing parameters are not limited to the above parameters; any parameter that affects the washing of the clothes can be used as clothing parameters.

[0052] Since the number of parameters such as clothing type, color, and material is limited, a clothing image recognition model can be trained based on known clothing parameters and images of commercially available clothing. This model is then used to recognize images of clothes placed in a laundry detergent machine. After image recognition of the clothes, the clothing parameters of each garment in at least one item of clothing placed in the laundry detergent machine can be obtained. The image of at least one item of clothing placed in the laundry detergent machine can be acquired by the laundry detergent machine when the clothes are placed in, or it can be acquired through other means, such as a user taking a picture of the clothes with a mobile device and then sending the image to the laundry detergent machine via a connection.

[0053] In some embodiments, before performing image recognition on the image of at least one garment to be washed placed in the laundry equipment, an image of at least one garment to be washed placed in the laundry equipment can also be acquired. When using the laundry equipment for washing, the door of the inner drum of the laundry equipment needs to be opened first, and then the garment to be washed is placed into the inner drum. Therefore, an image acquisition device can be installed at the entrance of the door of the inner drum of the laundry equipment. When the garment to be washed is placed into the inner drum, the image of the garment to be washed can be acquired by the image acquisition device at the entrance of the door.

[0054] Alternatively, image acquisition devices can be installed at other locations outside the laundry equipment, as long as they can capture images of the entrance to the inner drum. Of course, image acquisition devices can also be installed at two locations simultaneously. Furthermore, image acquisition devices can be installed inside the inner drum of the laundry equipment, allowing images of the clothes to be washed when they are placed inside. One or more image acquisition devices can be installed on the laundry equipment; that is, the image of at least one piece of clothing placed inside the laundry equipment can be captured by one or more image acquisition devices.

[0055] Some users habitually place clothes into the laundry equipment one by one, allowing the image acquisition device to accurately and comprehensively capture images of each garment. However, other users prefer to place multiple garments together, in which case the image acquired by the device may include multiple garments. Regardless of the method, the washing control method provided in this embodiment can determine the appropriate washing parameters for the clothes placed in the laundry equipment by acquiring and recognizing images. The aforementioned image acquisition device can be any device capable of image or video acquisition, such as a camera module. The image acquisition device can acquire images at regular intervals, or it can acquire images when it detects the act of placing clothes into the laundry equipment, or it can record video and acquire images from the recorded video as needed. The image acquisition device may also include an independent light source to ensure the accuracy of the acquired images.

[0056] Image acquisition of laundry items placed in the washing machine can be performed either when at least one item is placed inside, or after at least one item is placed inside and the washing machine door is closed, by controlling the inner drum of the washing machine to rotate a preset number of times and performing image acquisition during rotation. Alternatively, image acquisition can be performed simultaneously when laundry is placed inside and after the door is closed. When acquiring images while laundry is being placed inside, the acquisition can be triggered when the washing machine door is opened or when the action of placing laundry into the washing machine is detected. Since the lighting outside the washing machine is usually good, images acquired at this time will have good brightness and color. After laundry is placed inside and the door is closed, the inner drum of the washing machine can be controlled to rotate a preset number of times. During rotation, the laundry will be shaken and dispersed, and image acquisition at this time will likely yield a relatively complete image of each item of clothing.

[0057] S120: Determine the washing parameters of the clothing washing equipment according to the clothing parameters, wherein after washing at least one garment to be washed using the washing parameters, the cleanliness of at least one garment to be washed is higher than the preset cleanliness threshold and the damage is lower than the preset damage threshold.

[0058] After determining the garment parameters, the washing parameters of the laundry equipment can be determined accordingly. Since the optimal washing parameters differ for each type of garment, it is necessary to comprehensively determine the washing parameters based on the individual parameters of at least one garment placed in the laundry equipment. The determined washing parameters must ensure that the cleanliness of at least one garment exceeds a preset cleanliness threshold and its damage level is below a preset damage threshold. The preset cleanliness threshold and preset damage threshold can be preset values ​​or set according to user needs.

[0059] For example, in the default configuration, the priority of judging the preset damage threshold can be set higher than the preset cleanliness threshold. This means that the washing parameters should first consider the degree of damage to the clothes being below the preset threshold, and then consider the degree of cleanliness being above the preset threshold, to avoid damaging the clothes. For instance, if the laundry includes silk and cotton garments, and the optimal washing speed for silk is below 600 rpm, while the optimal washing speed for cotton is 800-1200 rpm, then to avoid damaging the silk garments, the washing speed in the washing parameters should be set to 600 rpm. Another example is if the laundry includes white, red, black, and blue garments, and the blue garment is made of a material that easily fades color. In this case, the washing parameters should avoid setting a soaking process and shorten the washing time to prevent the dark-colored garment from staining the white garment. Of course, to ensure the cleanliness of the clothes, the various washing parameters should be set to ensure the best washing effect without damaging the clothes.

[0060] In this embodiment, the washing parameters of the laundry equipment include at least one of the following: washing time, washing water volume, washing temperature, detergent dosage, washing rotation parameters, spin-drying time, spin-drying quantity, and spin-drying rotation parameters. Of course, the washing parameters of the laundry equipment are not limited to the above parameters, and the types and values ​​of washing parameters may differ for different laundry equipment. For example, washing rotation parameters may include washing speed and rotation force. Regarding detergent dosage, different detergent dosage standards can be matched according to different detergent types.

[0061] Similarly, recognition models can be set for clothing parameters and washing parameters to process different input clothing parameters and obtain washing parameters that meet preset conditions. The processing of clothing parameters can be done locally on the laundry equipment or in the cloud. After completing image recognition of the laundry, the laundry equipment can send the recognized clothing parameters to the cloud for processing. The corresponding washing parameters are obtained through a machine learning model for washing parameters in the cloud. Different laundry equipment may have different washing parameters, and determining washing parameters when there are many clothing parameters can require high computing power. Therefore, a unified machine learning model for washing parameters can be set up in the cloud to determine the washing parameters, thereby reducing the cost of laundry equipment as a consumer-grade product.

[0062] S130: Control the laundry equipment to wash at least one garment using washing parameters.

[0063] After determining the washing parameters of the laundry equipment based on the image of the clothes placed inside, at least one garment can be washed using these parameters. Since the determined washing parameters take into account both the degree of damage and the cleanliness of the garments, washing clothes using these parameters achieves good washing results while minimizing damage.

[0064] The washing control method provided in this application first performs image recognition on an image of at least one garment to be washed placed in a laundry device to obtain garment parameters for at least one garment. Then, it determines the washing parameters of the laundry device based on the garment parameters. After washing at least one garment with the washing parameters, the cleanliness of at least one garment is higher than a preset cleanliness threshold and the damage is lower than a preset damage threshold. Finally, it controls the laundry device to wash at least one garment with the washing parameters, which can achieve a better washing effect and avoid damage to the garment, thus meeting the user's needs.

[0065] Figure 2 is a schematic flowchart of another washing control method provided in an embodiment of this application. As shown in Figure 2, the washing control method provided in this embodiment includes:

[0066] S210: Obtain an image of at least one garment to be washed, which has been placed in the laundry equipment.

[0067] S220: Perform image recognition on the image of at least one garment to be washed placed in the laundry equipment to obtain the garment parameters of at least one garment to be washed.

[0068] S230: Determine the washing parameters of the clothing washing equipment according to the clothing parameters, wherein after washing at least one garment to be washed using the washing parameters, the cleanliness of at least one garment to be washed is higher than the preset cleanliness threshold and the damage is lower than the preset damage threshold.

[0069] S240: Obtain voice control commands input by the user.

[0070] The washing parameter control method provided in this embodiment, based on the embodiment shown in Figure 1, can also acquire user-inputted voice control commands and modify the washing parameters according to the user-inputted voice control commands to meet the personalized washing needs of different users.

[0071] A voice recognition module or voice processing module can be installed in the laundry equipment to obtain user-inputted voice control commands before washing begins. These commands can be obtained directly from the laundry equipment or from a terminal device connected to it. User-inputted voice control commands can be any command to adjust washing parameters, such as washing time, water usage, and spin-drying time.

[0072] Laundry equipment can interact with users via its own voice recognition module or a terminal device connected to the equipment. Through natural language interaction, it obtains the user's washing needs and then uses a natural language processing (NLP) model to analyze the user's voice input and recognize the voice control commands. The NLP model can be any existing NLP model or a NLP model specifically designed for laundry equipment.

[0073] S250: Recognizes voice control commands to determine the user's personalized washing needs.

[0074] After receiving the user's voice control commands, they need to be recognized to determine the user's personalized washing needs. User-inputted voice control commands can be explicit washing parameters. For example, a voice command like "Start washing at 8 o'clock" indicates that washing will not begin immediately but should start at the user-specified time of 8 o'clock. Another example is "Use water-saving mode," which indicates a need for a more water-efficient washing method. User-inputted voice control commands can also be natural language. For example, a voice command like "Wash the clothes cleaner" indicates a higher demand for cleanliness. Another example is "It's been raining these past few days, the clothes need to be spun dry a bit," which indicates a need for clothes with lower moisture content after spinning. Recognition of voice control commands can be achieved through keyword matching or by further integrating a natural language processing model to analyze the user's input and thus determine their personalized washing needs.

[0075] S260: Adjust the washing parameters of the laundry equipment according to personalized washing needs to obtain the adjusted washing parameters.

[0076] After determining the user's personalized washing needs, the washing parameters of the washing equipment need to be modified to meet those needs. The washing parameters determined in S230 are suitable for most users, but may not be appropriate for every user's needs. Therefore, the washing parameters can be adjusted based on the user's personalized washing needs, building upon the clothing parameters. For example, if the user's personalized washing need is for clothes to have low moisture content after spin-drying, the spin-drying speed and time can be increased. Furthermore, modifying the washing parameters according to the user's personalized washing needs ensures that the modified parameters still meet the requirement that "at least one garment's cleanliness is higher than a preset cleanliness threshold and its damage is lower than a preset damage threshold."

[0077] In some embodiments, after determining the modified washing parameters, if the modified washing parameters do not meet the requirement that "at least one garment to be washed has a cleanliness level higher than a preset cleanliness threshold and a damage level lower than a preset damage threshold," the user can be prompted that personalized washing needs may result in damage to the garment or poor washing results, thus informing the user that their personalized washing needs cannot be met. Alternatively, if the user insists on their personalized washing needs after being prompted, the washing can still be performed according to the determined modified washing parameters.

[0078] S270: Control the laundry equipment to wash at least one garment using modified washing parameters.

[0079] Using the revised washing parameters to wash clothes can meet the personalized needs of different users and further improve the user experience of laundry equipment.

[0080] In some embodiments, after determining the washing parameters of the laundry equipment, the washing parameters can be displayed to the user. If the user is not satisfied with the washing parameters, a voice control command input by the user can be obtained to correct the washing parameters. The determined washing parameters can be displayed on the display module of the laundry equipment or on a terminal device connected to the laundry equipment for the user to view. Furthermore, after acquiring images of the clothes to be washed in the laundry equipment, the acquired images of each item to be washed can also be displayed on the terminal device connected to the laundry equipment, allowing the user to determine whether the items placed in the laundry equipment are the clothes that need washing, further enhancing the user experience.

[0081] Figure 3 is a schematic diagram of a washing control device provided in an embodiment of the present invention. As shown in Figure 3, the device includes:

[0082] Image recognition module 32 is used to perform image recognition on the image of at least one garment to be washed placed in the laundry equipment to obtain the garment parameters of at least one garment to be washed;

[0083] The washing parameter determination module 33 is used to determine the washing parameters of the clothing washing equipment according to the clothing parameters. After washing at least one piece of clothing with the washing parameters, the cleanliness of at least one piece of clothing is higher than the preset cleanliness threshold and the damage is lower than the preset damage threshold.

[0084] The washing control module 34 is used to control the laundry equipment to wash at least one garment using washing parameters.

[0085] In some embodiments, the washing control device further includes an image acquisition module 31 for acquiring an image of at least one garment to be washed placed in the laundry equipment.

[0086] In some embodiments, the image acquisition module 31 is specifically used to acquire an image of at least one garment to be washed by an image acquisition device when at least one garment to be washed is placed into the garment washing equipment; and / or, after at least one garment to be washed is placed into the garment washing equipment and the garment washing equipment door is closed, to control the inner drum of the garment washing equipment to rotate a preset number of times, and to acquire an image of at least one garment to be washed by an image acquisition device during the rotation.

[0087] In some embodiments, the image acquisition device is disposed at the inlet of the inner drum of the laundry equipment, or the image acquisition device is disposed at both the door inlet of the laundry equipment and inside the inner drum of the laundry equipment.

[0088] In some embodiments, the image recognition module 32 is specifically used to perform image recognition on at least one image of at least one garment to be washed, and to comprehensively process the image recognition results of at least one image to obtain the garment parameters of each garment to be washed in at least one garment to be washed.

[0089] In some embodiments, the washing parameter determination module 33 is specifically used to input the clothing parameters into the washing parameter machine learning model to obtain the washing parameters of the clothing washing equipment.

[0090] Figure 4 is a schematic diagram of another washing control device provided in an embodiment of this application. As shown in Figure 4, this device, based on Figure 3, further includes:

[0091] The voice acquisition module 35 is used to acquire the user's voice control commands;

[0092] The voice recognition module 36 is used to recognize voice control commands and determine the user's personalized washing needs;

[0093] The washing parameter correction module 37 is used to correct the washing parameters of the clothing washing equipment according to personalized washing needs, so as to obtain the corrected washing parameters.

[0094] The washing control module 34 is specifically used to control the laundry equipment to wash at least one garment using the corrected washing parameters.

[0095] In some embodiments, the voice acquisition module 35 is specifically used to analyze the user's voice input using a natural language processing model through voice interaction with the user, and to identify the user's voice control commands.

[0096] In some embodiments, the washing control device further includes a display module for displaying washing parameters to the user.

[0097] In some embodiments, clothing parameters include at least one of the following: clothing type, clothing color, clothing material, and clothing quantity.

[0098] In some embodiments, the washing parameters include at least one of the following: washing time, washing water volume, washing temperature, detergent dosage, washing rotation parameters, spin-drying time, spin-drying quantity, and spin-drying rotation parameters.

[0099] Figure 5 is a schematic diagram of an electronic device structure provided in an embodiment of this application that can be used to implement the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices.

[0100] As shown in Figure 5, the electronic device includes at least one processor 51 and a memory, such as a read-only memory (ROM) 52 or a random access memory (RAM) 53, communicatively connected to the processor 51. The memory stores computer programs executable by the processor. The processor 51 can perform various appropriate actions and processes based on the computer programs stored in the ROM 52 or loaded into the RAM 53 from storage unit 58. The RAM 53 can also store various programs and data required for the operation of the electronic device. The processor 51, ROM 52, and RAM 53 are interconnected via a bus 54. An input / output (I / O) interface 55 is also connected to the bus 54.

[0101] Multiple components in the electronic device are connected to the I / O interface 55, including: an input unit 56, such as a keyboard, mouse, etc.; an output unit 57, such as various types of displays, speakers, etc.; a storage unit 58, such as a disk, optical disk, etc.; and a communication unit 59, such as a network card, modem, wireless transceiver, etc. The communication unit 59 allows the electronic device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0102] Processor 51 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 51 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 51 performs the various methods and processes described above, such as washing control methods.

[0103] In some embodiments, the washing control method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 58. In some embodiments, part or all of the computer program may be loaded and / or installed on an electronic device via ROM 52 and / or communication unit 59. When the computer program is loaded into RAM 53 and executed by processor 51, one or more steps of the washing control method described above may be performed. Alternatively, in other embodiments, processor 51 may be configured to perform the washing control method by any other suitable means (e.g., by means of firmware).

[0104] Various implementations of the systems and techniques described above in this document can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof.

[0105] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0106] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device or LCD monitor for displaying information to the user; and a keyboard and pointing device through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including voice input, speech input, or tactile input).

[0107] The systems and technologies described herein can be implemented in computing systems that include back-end components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected via digital data communication (e.g., a communication network) of any form or medium.

[0108] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0109] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A washing control method characterized by, The method comprises the following steps: image recognition is performed on an image of at least one piece of laundry placed in a laundry washing device to obtain laundry parameters of the at least one piece of laundry; washing parameters of the laundry washing device are determined according to the laundry parameters, wherein, after the at least one piece of laundry is washed by using the washing parameters, cleanliness of the at least one piece of laundry is higher than a preset cleanliness threshold and damage degree of the at least one piece of laundry is lower than a preset damage degree threshold; the laundry washing device is controlled to wash the at least one piece of laundry by using the washing parameters.

2. The method of claim 1, wherein, Before the image recognition is performed on the image of the at least one piece of laundry placed in the laundry washing device, the method further comprises the following step: an image of at least one piece of laundry placed in the laundry washing device is obtained.

3. The method of claim 2, wherein, The image of at least one piece of laundry placed in the laundry washing device is obtained by the following steps: when the at least one piece of laundry is placed in the laundry washing device, an image of the at least one piece of laundry is collected by an image collection device; and / or after the at least one piece of laundry is placed in the laundry washing device and a cabin door of the laundry washing device is closed, the laundry washing device is controlled to rotate an inner drum of the laundry washing device by a preset number of turns, and an image of the at least one piece of laundry is collected by the image collection device during the rotation.

4. The method of claim 3, wherein, The image collection device is arranged at an entrance of the inner drum of the laundry washing device, or the image collection device is arranged at an entrance of the cabin door of the laundry washing device and in the inner drum of the laundry washing device, respectively.

5. The method of claim 1, wherein, The image recognition is performed on the image of the at least one piece of laundry placed in the laundry washing device to obtain the laundry parameters of the at least one piece of laundry by the following steps: image recognition is performed on at least one image of the at least one piece of laundry, respectively, and image recognition results of the at least one image are comprehensively processed to obtain the laundry parameters of each piece of laundry in the at least one piece of laundry.

6. The method according to any one of claims 1 to 5, characterized in that, The washing parameters of the laundry washing device are determined according to the laundry parameters by the following steps: the laundry parameters are input into a washing parameter machine learning model to obtain the washing parameters of the laundry washing device.

7. The method according to any one of claims 1 to 5, characterized in that, Before the laundry washing device is controlled to wash the at least one piece of laundry by using the washing parameters, the method further comprises the following steps: a voice control instruction input by a user is obtained; the voice control instruction is recognized to determine a personalized washing demand of the user; the washing parameters of the laundry washing device are corrected according to the personalized washing demand to obtain corrected washing parameters; the laundry washing device is controlled to wash the at least one piece of laundry by using the corrected washing parameters. The laundry washing device is controlled to wash the at least one piece of laundry by using the corrected washing parameters.

8. The method of claim 7, wherein, The voice control instruction input by the user is obtained by the following steps: by voice interaction with the user, a natural language processing model is used to analyze the voice input by the user to recognize the voice control instruction input by the user.

9. The method of claim 7, wherein, Before the voice control instruction input by the user is obtained, the method further comprises the following step: the washing parameters are displayed to the user.

10. The method according to any one of claims 1 to 5, characterized in that, The laundry parameters comprise at least one of the following: a laundry type, a laundry color, a laundry material, and a laundry quantity.

11. The method according to any one of claims 1 to 5, characterized in that, The washing parameters include at least one of a washing time, a washing water amount, a washing temperature, a detergent amount, a washing rotation parameter, a dehydration time, a dehydration amount, and a dehydration rotation parameter.

12. A wash control device, characterized by The device is applied to the washing control method in any one of claims 1-11, and the device comprises: an image recognition module, configured to perform image recognition on an image of the at least one piece of laundry put into the laundry washing device to obtain laundry parameters of the at least one piece of laundry; a washing parameter determination module, configured to determine washing parameters of the laundry washing device according to the laundry parameters, wherein, after the at least one piece of laundry is washed by using the washing parameters, cleanliness of the at least one piece of laundry is higher than a preset cleanliness threshold and damage degree of the at least one piece of laundry is lower than a preset damage degree threshold; a washing control module, configured to control the laundry washing device to wash the at least one piece of laundry by using the washing parameters.

13. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the washing control method in any one of claims 1-11.

14. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions, and the computer instructions are used to enable the processor to execute the washing control method in any one of claims 1-11 when executed.

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