Laundry equipment operation method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of household appliances, in particular to a laundry equipment operation method and device, computer equipment and a storage medium. The operation method of the laundry equipment at least comprises the following steps: acquiring washing parameters, environmental parameters and user habit parameters of the laundry equipment collected by a sensor module, and uploading the washing parameters, the environmental parameters and the user habit parameters to a control terminal; the control terminal calls the washing artificial intelligence model to generate a target washing program according to the washing parameters, the environmental parameters and the user habit parameters, and issues the target washing program to the mobile terminal; and the mobile terminal controls the laundry equipment to run based on the target laundry program. The invention provides a clothes washing equipment operation method which is more adaptive to the actual clothes washing state and is more convenient to operate.

Description

Technical Field

[0001] The present application relates to the field of household appliance technology, and in particular to a method and apparatus for operating a laundry appliance, a computer device, and a storage medium. Background Art

[0002] With the continuous improvement of production technology and the continuous growth of user demand, users' requirements for washing machines are also becoming higher and higher. For example, different washing, drying, sterilization, or deodorization programs or combinations of programs are required to meet different clothing and user needs. Washing machines have limited local programs. If the washing program setting is too few, the clothing washing will lack targetedness, affecting the washing effect and washing efficiency. If the washing program setting is too many, it will occupy space on the washing machine control chip, affecting its performance. To this end, the industry has introduced the "cloud program" function, which stores some programs in the cloud. Users can connect through the Internet of Things and select more washing programs on mobile phones and other terminals. Alternatively, "cloud program" can be launched on the machine, and the last program used will be launched by default.

[0003] However, the existing "cloud program" function only expands the user's program selection range on mobile phones and other terminals, and does not automatically match more reasonable laundry programs based on the user's actual washing environment and laundry needs. In addition, user operation is relatively cumbersome.

[0004] Therefore, there is an urgent need for a washing method that is more adapted to the actual washing state and more convenient to operate. Summary of the Invention

[0005] Embodiments of the present application provide a laundry device operation method, device, computer device, and storage medium.

[0006] A first aspect of an embodiment of the present application provides a laundry device operating method, which is applied to a laundry control system. The laundry control system is configured with at least a mobile terminal and a control terminal in communication with each other, the mobile terminal is configured with at least a sensor module, and the control terminal is configured with at least a pre-trained laundry artificial intelligence model. The method at least includes:

[0007] Acquire washing parameters, environmental parameters, and user habit parameters of the laundry device collected by the sensor module, and upload the washing parameters, the environmental parameters, and the user habit parameters to the control terminal;

[0008] The control terminal calls the laundry artificial intelligence model to generate a target laundry program according to the washing parameters, the environmental parameters, and the user habit parameters, and sends the target laundry program to the mobile terminal;

[0009] The mobile terminal controls the laundry device to run based on the target laundry program.

[0010] In an optional embodiment of the present application, the mobile terminal is a system-on-chip; and / or the control terminal is in the cloud.

[0011] In an optional embodiment of the present application, obtaining the washing parameters, environmental parameters, and user habit parameters of the laundry device collected by the sensor module includes:

[0012] in response to a program selection instruction;

[0013] If the program selection instruction is an artificial intelligence washing program selection instruction, the sensor module is called to obtain the washing parameters, the environmental parameters and the user habit parameters of the laundry device collected by the sensor module.

[0014] In an optional embodiment of the present application, the washing parameters include: at least one of: a clothing volume parameter, a clothing weight parameter, a clothing color parameter, a washing temperature parameter, a water temperature parameter, a washing time, a washing temperature, a rinsing time, a dehydration number, and a dehydration time; and / or,

[0015] The environmental parameters include: a location parameter of the laundry device, and at least one of meteorological parameters corresponding to the location parameter; and / or

[0016] The user habit parameter includes at least one historical parameter among the washing parameters.

[0017] In an optional embodiment of the present application, the mobile terminal provides a user graphical interface. After the control terminal calls the laundry artificial intelligence model to generate a target laundry program based on the washing parameters, the environmental parameters, and the user habit parameters, and sends the target laundry program to the mobile terminal, the method further includes:

[0018] The real-time washing parameters corresponding to the target washing program are displayed on the graphical user interface.

[0019] In an optional embodiment of the present application, the mobile terminal controls the laundry device to run based on the target laundry program, including:

[0020] If the operating parameters of the laundry device exceed a preset threshold range, the real-time washing parameters in the target laundry program are dynamically adjusted.

[0021] In an optional embodiment of the present application, if the operating parameters of the laundry appliance exceed a preset threshold range, dynamically adjusting the real-time washing parameters in the target laundry program at least includes:

[0022] If the turbidity of the washing water is greater than the preset turbidity, the rinsing time and / or the number of rinses are increased.

[0023] In an optional embodiment of the present application, after the mobile terminal controls the laundry device to run based on the target laundry program, the method further includes:

[0024] Acquire laundry result parameters and send the laundry result parameters to the control terminal; wherein the laundry result parameters include at least one of: user evaluation parameters, laundry equipment operation parameters, and clothing parameters;

[0025] The control terminal updates the laundry artificial intelligence model based on the laundry result parameters.

[0026] A second aspect of the present application provides a laundry device operating apparatus, which is applied to a laundry control system. The laundry control system is configured with at least a mobile terminal and a control terminal in communication with each other, the mobile terminal being configured with at least a sensor module, and the control terminal being configured with at least a pre-trained laundry artificial intelligence model. The laundry device operating apparatus includes:

[0027] a parameter acquisition module, configured to acquire the washing parameters, environmental parameters, and user habit parameters of the laundry device collected by the sensor module, and upload the washing parameters, environmental parameters, and user habit parameters to the control terminal;

[0028] a laundry program generation module, configured for the control terminal to call the laundry artificial intelligence model to generate a target laundry program according to the washing parameters, the environmental parameters, and the user habit parameters, and to send the target laundry program to the mobile terminal;

[0029] A control module is used for the mobile terminal to control the laundry device to run based on the target laundry program.

[0030] According to a third aspect of an embodiment of the present application, a computer device is provided, comprising: a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any of the above methods when executing the computer program.

[0031] According to a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above methods are implemented.

[0032] The laundry equipment operation method provided in the embodiment of the present application first obtains the washing parameters, environmental parameters and user habit parameters of the laundry equipment collected by the sensor module, and uploads the washing parameters, environmental parameters and user habit parameters to the control terminal. The control terminal calls the laundry artificial intelligence model to generate a target laundry program based on the washing parameters, environmental parameters and user habit parameters, and sends it to the mobile terminal. The mobile terminal controls the laundry equipment to operate based on the target laundry program. When selecting a program, the user only needs to select smart laundry to wake up the laundry equipment operation method provided in the embodiment of the present application, solving the problems of too many washing programs, difficulty in user selection and cumbersome operation. The operation of this application is simpler and more convenient. Based on the above-mentioned laundry equipment operation method, this application automatically gives a personalized target laundry program through the laundry artificial intelligence model according to different parameters collected by different laundry equipment and different users, which is more adapted to the actual laundry state. In summary, the embodiment of the present application provides a laundry equipment operation method that is more adapted to the actual laundry state and more convenient to operate. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0034] Figure 1 A schematic structural diagram of a laundry control system provided in one embodiment of the present application;

[0035] Figure 2 A flowchart of a laundry device operating method provided in one embodiment of the present application;

[0036] Figure 3 A flowchart of a laundry device operating method provided in one embodiment of the present application;

[0037] Figure 4 A flowchart of a laundry device operating method provided in one embodiment of the present application;

[0038] Figure 5 A flowchart of a laundry device operating method provided in one embodiment of the present application;

[0039] Figure 6 A schematic diagram of the structure of a laundry device operating device provided in one embodiment of the present application;

[0040] Figure 7 A schematic diagram of the computer device structure provided for one embodiment of the present application. DETAILED DESCRIPTION

[0041] In the process of realizing the present application, the inventors discovered that there is an urgent need for a washing method that is more adapted to the actual washing state and more convenient to operate.

[0042] In response to the above problems, embodiments of the present application provide a method, apparatus, computer device, and storage medium for operating a laundry appliance to improve the operational convenience and laundry mode adaptability of the laundry appliance.

[0043] The solutions in the embodiments of the present application can be implemented using various computer languages, for example, the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0044] In order to make the technical solutions and advantages of the embodiments of the present application more clearly understood, the exemplary embodiments of the present application are further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, and are not an exhaustive list of all the embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other unless they conflict.

[0045] The following is a brief description of the application environment of the laundry equipment operation method provided in the embodiment of the present application:

[0046] See Figure 1 The laundry device operation method provided in the embodiment of the present application is applied to a laundry control system, which is configured with at least a mobile terminal and a control terminal that are communicatively connected.

[0047] The mobile terminal is a terminal installed in the laundry appliance and is used for data collection, terminal data processing, control, and data exchange with the control terminal. The mobile terminal can be an integrated chip, etc. The mobile terminal is equipped with at least one sensor module, which can include: a water level sensor, a humidity sensor, a temperature sensor, a weight sensor, a water quality detector, a clock sensor, an image sensor, etc. The examples are not exhaustive and can be flexibly configured according to actual conditions.

[0048] The control terminal refers to a terminal used to store the laundry artificial intelligence model. The control terminal and the mobile terminal are independent of each other and are background controlled. The control terminal can be a cloud, blockchain, service platform, etc. This application does not make specific restrictions and can be flexibly adjusted according to actual conditions. The laundry artificial intelligence model is pre-trained based on historical washing data and operating parameters, and is used to generate corresponding laundry programs based on input real-time data. The original laundry artificial intelligence model is mainly created through experimental data, corporate laundry program experience library data, etc. There is a wireless communication connection between the mobile terminal and the control terminal. For example, a corresponding communication module can be set, such as Wi-Fi / NB-iot, to realize data interaction between the mobile terminal and the control terminal.

[0049] The mobile terminal transmits real-time parameters to the laundry AI model of the terminal device through the communication module. The laundry AI model calculates the corresponding laundry program through the large model, and the laundry program includes, for example, wash time, wash temperature, rinse time, spin times, spin time, etc. The embodiments of this application are not specifically limited, and the specific parameters of the laundry program can be set according to actual conditions. The following is a brief introduction to the data processing process within the laundry AI model in this application:

[0050] (1) Data preprocessing:

[0051] a) Standardization / normalization: Convert all input parameters (numeric: such as temperature, humidity, weight, water hardness; categorical: such as weather type, color category) into a format that the model can process efficiently.

[0052] b) Feature Engineering: Creating new features that may be more helpful for decision making. For example:

[0053] Drying potential index = f(weather conditions, temperature, humidity) (numerically indicating whether today is suitable for drying clothes outdoors);

[0054] Estimated drying difficulty = f(clothing weight, average fabric thickness, humidity) (estimate how long it will take for clothes to dry completely after spinning);

[0055] Stain risk level = (water hardness, clothing darkness) (hard water is more likely to leave mineral residue on dark clothing);

[0056] Encode weather information into richer features (e.g., sunshine intensity, expected rainfall probability).

[0057] (2) Decision-making core: deep neural network

[0058] The input content includes text, pictures, etc., which require complex processing and training, and are processed using a deep neural network solution.

[0059] (3) Output module:

[0060] The results of the decision core are mapped to the specific programs of the washing machine (such as "strong wash for cotton and linen + high temperature washing + high dehydration + drying", "gentle wash for wool + low dehydration", "mixed wash + 40℃ + medium dehydration") or directly output a set of adjustable parameters (water temperature, time, speed, etc.).

[0061] (4) Continuous optimization

[0062] Feedback mechanism: This collects user data on whether they accept the recommended program, manually adjust parameters, and ultimately evaluate the washing results (if there are user ratings or sensor evaluations). This data is then used to incrementally train the model or adjust rule weights. The system continuously updates the model based on new feedback data, enabling online learning / AI adaptation.

[0063] In the actual laundry process, different factors have different effects on laundry, such as:

[0064] Garment weight: This directly impacts the water level, water volume, wash time, and intensity. Heavy loads require longer wash times and more water. Garment color: Dark colors (which fade easily) require low-temperature, gentle washing, avoid strong bleaches, and may require color protectants. White / light colors can withstand higher temperatures and bleaches. Garment material: This determines the core constraints (water temperature limit, mechanical strength limit). Wool / silk must be washed in cold water with a delicate cycle and low spin cycle. Cotton and linen can withstand high temperatures and high mechanical strength. Water quality (hardness): Hard water easily leaves mineral residue on clothing (making it gray and hard), requiring more detergent or a dedicated water softener, and possibly additional rinsing. Soft water washing is more efficient. Outdoor drying: In sunny, dry weather, it is recommended to choose a cycle with a high spin cycle rate but no forced drying. In rainy, humid weather, it is strongly recommended to include a drying cycle or increase the spin cycle intensity. High ambient temperature and humidity may affect detergent solubility and rinsing results (which may require adjustments to the dosage or number of rinses). High temperatures suggest cold water washing to save energy and other weather information.

[0065] By inputting relevant data into the laundry AI model's AI decision-making system, the system comprehensively considers all factors, going beyond simple preset programs to dynamically generate the most appropriate, personalized laundry plan. The model's core goal is to optimize time, energy, and water consumption while ensuring cleanliness, clothing protection, and color preservation, and to adapt to environmental conditions and the user's potential drying / drying needs.

[0066] See Figure 2 and Figure 5 The following embodiments use the above-mentioned laundry control system as the execution body, and apply the laundry device operation method provided in the embodiments of the present application to the above-mentioned laundry control system, and use the example of controlling the laundry device to wash clothes as a specific example. The laundry device operation method provided in the embodiments of the present application includes the following steps 201 to 203:

[0067] Step 201: Acquire washing parameters, environmental parameters, and user habit parameters of the laundry device collected by the sensor module, and upload the washing parameters, environmental parameters, and user habit parameters to the control terminal;

[0068] Among them, washing parameters refer to parameters generated by a user when washing clothes in a laundry device, which are used to characterize the washing status, washing process, etc., and are not specifically limited in the embodiments of this application and can be flexibly set according to actual conditions. Environmental parameters refer to parameters of the environment in which the laundry device is located, such as geographic coordinates (latitude and longitude), temperature, humidity, etc. The user habit parameters refer to parameters related to laundry habits. Different users have different washing machine habits, such as washing time period, frequency, and the materials of clothes washed frequently in different seasons. For example, some users in the south with thin clothing prefer quick wash mode, while professional laundry shops with more home textiles and down jackets prefer deep clean mode. Of course, this is only an example and does not constitute a specific limitation on laundry programs. At the same time, by configuring washing parameters, environmental parameters, and user habit parameters, product configuration is flexible and has a wider range of applications. For example, for high-end products, precision sensors, cameras, etc. can be configured to more accurately match the laundry program; mid- and low-end products can be simplified and more optimized through the accumulation of user data to achieve the same user experience.

[0069] Step 202: The control terminal calls the laundry artificial intelligence model to generate a target laundry program according to the washing parameters, the environmental parameters, and the user habit parameters, and sends the target laundry program to the mobile terminal;

[0070] The laundry artificial intelligence model has been explained in detail in the above application environment and will not be repeated here.

[0071] Step 203: The mobile terminal controls the laundry device to run based on the target laundry program.

[0072] The laundry equipment operation method provided in the embodiment of the present application first obtains the washing parameters, environmental parameters and user habit parameters of the laundry equipment collected by the sensor module, and uploads the washing parameters, environmental parameters and user habit parameters to the control terminal. The control terminal calls the laundry artificial intelligence model to generate a target laundry program based on the washing parameters, environmental parameters and user habit parameters, and sends it to the mobile terminal. The mobile terminal controls the laundry equipment to operate based on the target laundry program. When selecting a program, the user only needs to select smart laundry to wake up the laundry equipment operation method provided in the embodiment of the present application, solving the problems of too many washing programs, difficulty in user selection and cumbersome operation. The operation of this application is simpler and more convenient. Based on the above-mentioned laundry equipment operation method, this application automatically gives a personalized target laundry program through the laundry artificial intelligence model according to different parameters collected by different laundry equipment and different users, which is more adapted to the actual laundry state. In summary, the embodiment of the present application provides a laundry equipment operation method that is more adapted to the actual laundry state and more convenient to operate.

[0073] In an optional embodiment of the present application, the mobile terminal is a system-on-chip (SoC), a purpose-built integrated circuit that contains the entire system and embedded software. This allows for the entire design process, from determining system functionality to hardware / software partitioning. The use of a SoC improves the local data storage and computation capabilities of the laundry appliance, thereby increasing the reliability of the laundry appliance operation method provided in this embodiment. The control terminal is cloud-based, and the algorithm is cloud-based. The laundry appliance only needs to store a small number of commonly used wash programs locally, reducing the performance requirements of the washing machine control chip and thus reducing costs.

[0074] See Figure 3 and Figure 5 In an optional embodiment of the present application, the above step 201, obtaining the washing parameters, environmental parameters and user habit parameters of the laundry device collected by the sensor module, includes the following steps 301-302:

[0075] Step 301, responding to a program selection instruction;

[0076] For example, when a user turns on the machine and selects the "smart washing" program from among many washing programs, the mobile terminal responds to the instruction.

[0077] Step 302: If the program selection instruction is an artificial intelligence washing program selection instruction, the sensor module is called to obtain the washing parameters, the environmental parameters, and the user habit parameters of the laundry device collected by the sensor module.

[0078] When selecting a program, the user only needs to select smart laundry to wake up the laundry device operation method provided in the embodiment of the present application. The operation is simpler and more convenient, which greatly improves the operational convenience of the laundry device operation method provided in the embodiment of the present application.

[0079] In an optional embodiment of the present application, the washing parameters include: at least one of a clothing volume parameter, a clothing weight parameter, a clothing color parameter, a washing temperature parameter, a water temperature parameter, a washing time, a washing temperature, a rinsing time, a dehydration number, and a dehydration time;

[0080] The environmental parameters include: a location parameter of the laundry device, and at least one of meteorological parameters corresponding to the location parameter; and / or

[0081] The user habit parameter includes at least one historical parameter among the washing parameters.

[0082] The laundry equipment operation method provided in the embodiment of the present application collects laundry environment parameters such as weather temperature and humidity, and water quality, and collects parameters of the clothes to be washed such as weight, color, and material, so as to facilitate the generation of a more suitable target laundry program, and subsequently analyzes the user's laundry habits, historical laundry effect feedback, etc., thereby greatly improving the reliability of the laundry equipment operation method; at the same time, through the configuration of washing parameters, environmental parameters and user habit parameters, the product configuration is flexible and has a wider application. For example, for high-end products, precision sensors, cameras and other configurations can be configured to make the laundry program matching more accurate; mid- and low-end products can be simplified, and the laundry model can be optimized more through the accumulation of user data to achieve the same use effect.

[0083] In an optional embodiment of the present application, the mobile terminal provides a user graphical interface, which can be an interface on the laundry device or other mobile control interface such as a mobile phone, for example, implemented on the mobile terminal through an app or mini-program, allowing users to view the status of the washing machine, remotely control it, and provide feedback on the washing machine. After the control terminal invokes the laundry artificial intelligence model to generate a target laundry program based on the washing parameters, the environmental parameters, and the user's habit parameters in step 202, and sends it to the mobile terminal, the method further includes:

[0084] The real-time washing parameters corresponding to the target washing program are displayed on the graphical user interface.

[0085] This embodiment displays the real-time washing parameters corresponding to the target laundry program on a graphical user interface, allowing users to easily monitor the laundry status in real time, allowing for timely manual adjustments to improve laundry results. For example, if a user detects abnormalities or poor results during the laundry process, they can modify the laundry program based on changes in the collected parameters. For example, if high water turbidity is detected during the rinse cycle after starting the program, the user can increase the rinse time and number of rinses, thereby improving laundry results.

[0086] In an optional embodiment of the present application, the above step 203, in which the mobile terminal controls the laundry device to run based on the target laundry program, includes the following steps:

[0087] If the operating parameters of the laundry appliance exceed the preset threshold range, the real-time washing parameters in the target laundry program are dynamically adjusted. This provides greater flexibility and facilitates real-time adjustments for users, thereby improving laundry results.

[0088] In an optional embodiment of the present application, if the operating parameters of the laundry appliance exceed a preset threshold range, dynamically adjusting the real-time washing parameters in the target laundry program includes at least the following steps:

[0089] If the turbidity of the washing water is greater than the preset turbidity, the rinsing time and / or the number of rinses are increased, thereby improving the washing effect.

[0090] See Figure 4 In an optional embodiment of the present application, after the mobile terminal controls the laundry device to run based on the target laundry program in step 203, the laundry device operation method further includes the following steps 401-402:

[0091] Step 401: Acquire laundry result parameters and send the laundry result parameters to the control terminal;

[0092] The laundry result parameters include at least one of user evaluation parameters, laundry equipment operation parameters, and clothing parameters;

[0093] Step 402: The control terminal updates the laundry artificial intelligence model based on the laundry result parameters.

[0094] For example, a laundry artificial intelligence model can be configured with multiple small models, and different user databases can be established for each model, and "labels" can be created based on the needs and evaluations of different users. After each laundry is completed, the user can evaluate the current washing program through the App or applet on the mobile terminal. After the laundry effect, the corresponding user's laundry data will be stored in the corresponding "label", and the AI ​​model will be continuously fed with data based on user data to continuously optimize the algorithm. The optimization content is not limited to the optimization of the washing program, such as correcting the number and duration of rinses according to the degree of dirtiness of the clothes or water quality indicators, and adjusting the dehydration time or speed intensity according to the weather temperature and humidity. And personalized programs such as drying and care. Thereby, the continuous optimization of the laundry artificial intelligence model is achieved to improve the generation accuracy of subsequent target laundry programs, thereby improving the reliability of the laundry equipment operation method provided in the embodiment of the present application.

[0095] It should be understood that, although the various steps in the flowchart are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps may be performed in other orders. Moreover, at least a portion of the steps in the figure may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily performed at the same time, but may be performed at different times. The execution order of these sub-steps or stages is not necessarily to be performed in sequence, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0096] See Figure 6One embodiment of the present application provides a laundry device operation 600, which is applied to a laundry control system. The laundry control system is configured with at least a mobile terminal and a control terminal in communication with each other, the mobile terminal is configured with at least a sensor module, and the control terminal is configured with at least a pre-trained laundry artificial intelligence model. The laundry device operation 600 includes:

[0097] a parameter acquisition module 610 for acquiring washing parameters, environmental parameters, and user habit parameters of the laundry device collected by the sensor module, and uploading the washing parameters, environmental parameters, and user habit parameters to the control terminal;

[0098] A laundry program generating module 620 is configured for the control terminal to call the laundry artificial intelligence model to generate a target laundry program according to the washing parameters, the environmental parameters, and the user habit parameters, and to send the target laundry program to the mobile terminal;

[0099] The control module 630 is used for the mobile terminal to control the laundry device to run based on the target laundry program.

[0100] In an optional embodiment of the present application, the mobile terminal is a system-on-chip; and / or the control terminal is in the cloud.

[0101] In an optional embodiment of the present application, the parameter acquisition module 610 is specifically used to respond to a program selection instruction; if the program selection instruction is an artificial intelligence washing program selection instruction, the sensor module is called to obtain the washing parameters, the environmental parameters and the user habit parameters of the laundry equipment collected by the sensor module.

[0102] In an optional embodiment of the present application, the washing parameters include: at least one of: clothing volume parameter, clothing weight parameter, clothing color parameter, washing temperature parameter, water temperature parameter, washing time, washing temperature, rinsing time, dehydration times, and dehydration time; and / or, the environmental parameters include: location parameters of the laundry device, at least one of the meteorological parameters corresponding to the location parameters; and / or, the user habit parameters include at least one historical parameter of the washing parameters.

[0103] In an optional embodiment of the present application, the mobile terminal provides a user graphical interface. After the control terminal calls the laundry artificial intelligence model to generate a target laundry program according to the washing parameters, the environmental parameters and the user habit parameters, and sends it to the mobile terminal, the control module 630 is also used to display the real-time washing parameters corresponding to the target laundry program on the graphical user interface.

[0104] In an optional embodiment of the present application, the control module 630 is specifically configured to dynamically adjust the real-time washing parameters in the target washing program if the operating parameters of the laundry device exceed a preset threshold range.

[0105] In an optional embodiment of the present application, the control module 630 is specifically configured to increase the rinsing time and / or the number of rinses if the turbidity of the washing water is greater than a preset turbidity.

[0106] In an optional embodiment of the present application, the control module 630 is further used to obtain laundry result parameters and send the laundry result parameters to the control terminal; wherein the laundry result parameters include: user evaluation parameters, laundry equipment operation parameters, and clothing parameters. At least one of the parameters; the control terminal updates the laundry artificial intelligence model based on the laundry result parameters.

[0107] For specific definitions of the laundry device operation 600, please refer to the definitions of the laundry device operation method above and will not be repeated here. Each module in the laundry device operation 600 can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the modules can be embedded in or independent of a processor in a computer device in hardware form, or stored in a memory in the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0108] In one embodiment, a computer device is provided. The internal structure diagram of the computer device can be as follows: Figure 7 As shown. The computer device includes a processor, a memory, a network interface and a database connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, it implements a method for operating a laundry device as described above. It includes: a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, it implements any step in the method for operating a laundry device as described above.

[0109] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, any step in the above laundry device operation method can be implemented.

[0110] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0111] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0112] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0113] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0114] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0115] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A method for operating a laundry device, characterized in that: Applied to a laundry control system, the laundry control system is configured with at least a mobile terminal and a control terminal in communication, the mobile terminal is configured with at least a sensor module, and the control terminal is configured with at least a pre-trained laundry artificial intelligence model; the method at least includes: Acquire washing parameters, environmental parameters, and user habit parameters of the laundry device collected by the sensor module, and upload the washing parameters, the environmental parameters, and the user habit parameters to the control terminal; The control terminal calls the laundry artificial intelligence model to generate a target laundry program according to the washing parameters, the environmental parameters, and the user habit parameters, and sends the target laundry program to the mobile terminal; The mobile terminal controls the laundry device to run based on the target laundry program.

2. The laundry equipment operation method according to claim 1, characterized in that: The mobile terminal is a system-on-chip; and / or the control terminal is in the cloud.

3. The laundry equipment operation method according to claim 1, characterized in that: The obtaining of the washing parameters, environmental parameters, and user habit parameters of the laundry device collected by the sensor module includes: in response to a program selection instruction; If the program selection instruction is an artificial intelligence washing program selection instruction, the sensor module is called to obtain the washing parameters, the environmental parameters and the user habit parameters of the laundry device collected by the sensor module.

4. The laundry equipment operation method according to claim 1, characterized in that: The washing parameters include: at least one of a laundry volume parameter, a laundry weight parameter, a laundry color parameter, a washing temperature parameter, a water temperature parameter, a washing time, a washing temperature, a rinsing time, a dehydration number, and a dehydration time; and / or, The environmental parameters include: a location parameter of the laundry device, and at least one of meteorological parameters corresponding to the location parameter; and / or The user habit parameter includes at least one historical parameter among the washing parameters.

5. The laundry machine operation method according to claim 1, characterized in that: The mobile terminal provides a user graphical interface, and after the control terminal calls the laundry artificial intelligence model to generate a target laundry program according to the washing parameters, the environmental parameters, and the user habit parameters, and sends the target laundry program to the mobile terminal, the method further includes: The real-time washing parameters corresponding to the target washing program are displayed on the graphical user interface.

6. The laundry equipment operation method according to claim 1, characterized in that: The mobile terminal controls the laundry device to run based on the target laundry program, including: If the operating parameters of the laundry device exceed a preset threshold range, the real-time washing parameters in the target laundry program are dynamically adjusted.

7. The laundry equipment operation method according to claim 1, characterized in that: If the operating parameters of the laundry device exceed a preset threshold range, dynamically adjusting the real-time washing parameters in the target laundry program at least includes: If the turbidity of the washing water is greater than the preset turbidity, the rinsing time and / or the number of rinses are increased.

8. The laundry machine operation method according to claim 1, characterized in that: After the mobile terminal controls the laundry device to run based on the target laundry program, the method further includes: Acquire laundry result parameters and send the laundry result parameters to the control terminal; wherein the laundry result parameters include at least one of: user evaluation parameters, laundry equipment operation parameters, and clothing parameters; The control terminal updates the laundry artificial intelligence model based on the laundry result parameters.

9. A laundry equipment operating device, characterized in that: Applied to a laundry control system, the laundry control system is configured with at least a mobile terminal and a control terminal in communication, the mobile terminal is configured with at least a sensor module, and the control terminal is configured with at least a pre-trained laundry artificial intelligence model; the laundry equipment operation device includes: a parameter acquisition module, configured to acquire the washing parameters, environmental parameters, and user habit parameters of the laundry device collected by the sensor module, and upload the washing parameters, environmental parameters, and user habit parameters to the control terminal; a laundry program generation module, configured for the control terminal to call the laundry artificial intelligence model to generate a target laundry program according to the washing parameters, the environmental parameters, and the user habit parameters, and to send the target laundry program to the mobile terminal; A control module is used for the mobile terminal to control the laundry device to run based on the target laundry program.

10. A computer device comprising: The method comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that the processor implements the steps of the method according to any one of claims 1 to 8 when executing the computer program.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

Images