Washing equipment smudginess degree display method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of intelligent household appliances, particularly provides a method and a device for displaying the smudginess degree of washing equipment, electronic equipment and a storage medium, and aims to solve the technical problem that the smudginess condition in a cylinder cannot be intuitively displayed by an existing method. In order to achieve the purpose, the method for displaying the smudginess degree of the washing equipment comprises the steps that a bacterium growth model is obtained; determining a first bacterial quantity after a first preset duration based on a bacterial growth model; and displaying the smudginess degree of the washing equipment based on the first bacterial quantity. Thus, the number of bacteria is used as the expression form of the smudginess degree of the washing equipment, numeralization and visual display of the smudginess degree of the washing equipment are achieved, a user can check the smudginess degree of the washing equipment more visually, and the use experience of the user is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home appliances, and specifically provides a method, device, electronic device and storage medium for displaying the dirtiness of a washing device. Background Art

[0002] Currently, most washing machines have a drum self-cleaning program, which users can run to clean the inner and outer drums to prevent mold growth. However, if users cannot objectively know the degree of dirtiness of the washing machine's inner drum, they will not know when to execute the drum self-cleaning program.

[0003] Currently, the number of washes is used as the dependent variable, and a one-variable function is used to calculate the dirtiness of the inner drum, and the calculation results are displayed on the user interface. The degree of dirtiness is expressed as a numerical value of dirtiness, with 100 being the dirtiest and 0 being the cleanest. The dirtiness value only uses the number of washes as the dependent variable, and increases with the number of washes. In fact, the variable most related to the degree of dirtiness is the time since the last drum self-cleaning program was run. Using the number of washes as the dependent variable makes it difficult to guide users to use the drum self-cleaning function, and it is impossible to intuitively show the dirtiness of the drum.

[0004] Accordingly, the art needs a new solution for displaying the dirtiness of washing equipment to solve the above problems. Summary of the invention

[0005] In order to overcome the above defects, the present invention is proposed to provide a solution or at least partially solve the above technical problems. The present invention provides a method, device, electronic device and storage medium for displaying the dirtiness of a washing device.

[0006] In a first aspect, the present invention provides a method for displaying the degree of dirtiness of a washing device, the method comprising:

[0007] Obtaining a bacterial growth model, wherein the bacterial growth model is used to characterize changes in the number of bacteria over time under different environmental temperature and humidity conditions;

[0008] Determining a first bacterial count after a first preset time period based on the bacterial growth model;

[0009] The degree of dirtiness of the washing equipment is displayed based on the first bacteria quantity.

[0010] In one embodiment, the bacterial growth model is obtained by the following steps:

[0011] Record the number of second bacteria at various locations of the washing equipment within a preset time period under different ambient temperatures and different ambient humidities;

[0012] The second bacteria quantity at each position of the washing device within the preset time period is fitted by the least square method to obtain the bacteria growth model, wherein the bacteria growth model includes an inner drum bacteria growth model and an outer drum bacteria growth model.

[0013] In one embodiment, the bacterial growth model includes an inner cylinder bacterial growth model and an outer cylinder bacterial growth model, and the first bacterial quantity includes an inner cylinder bacterial quantity and an outer cylinder bacterial quantity;

[0014] The determining of a first bacterial quantity after a first preset time period based on the bacterial growth model includes:

[0015] Obtaining a first initial number of bacteria and a second initial number of bacteria;

[0016] Obtaining the number of bacteria in the inner cylinder by using the inner cylinder bacteria growth model based on the first initial number of bacteria and the first preset time;

[0017] The outer cylinder bacteria quantity is obtained by utilizing the outer cylinder bacteria growth model based on the second bacteria initial quantity and the first preset time.

[0018] In one embodiment, the displaying of the degree of dirtiness of the washing equipment based on the first bacterial count includes:

[0019] Constructing a three-dimensional model of a washing device, wherein the three-dimensional model of the washing device includes a three-dimensional model of an inner drum and a three-dimensional model of an outer drum;

[0020] Mapping the number of bacteria in the inner drum and the number of bacteria in the outer drum to the inner drum three-dimensional model and the outer drum three-dimensional model of the washing device respectively;

[0021] The three-dimensional model of the washing equipment is displayed.

[0022] In one embodiment, the constructing of the three-dimensional model of the washing equipment includes:

[0023] Acquire structural information for constructing a three-dimensional model of the washing device, wherein the structural information is data information constituting an inner drum and an outer drum of the washing device;

[0024] The structural information is processed using the Three.js engine to obtain the three-dimensional model of the washing equipment.

[0025] In one embodiment, the method further comprises:

[0026] Obtaining a bacterial growth change rate based on the bacterial growth model;

[0027] Whether to start the drum self-cleaning mode is determined based on the bacterial growth change rate.

[0028] In one embodiment, the method further comprises:

[0029] Based on the bacterial growth change rate, sending a prompt message to a terminal device connected to the washing device; and / or

[0030] After the barrel self-cleaning mode is turned on for a second preset time period, the barrel self-cleaning mode is turned off.

[0031] In a second aspect, the present invention provides a device for displaying the degree of dirtiness of a washing device, the device comprising:

[0032] An acquisition module, the acquisition module is configured to acquire a bacterial growth model, the bacterial growth model is used to characterize the change of the number of bacteria over time under different environmental temperature and humidity conditions;

[0033] a determination module, the determination module being configured to determine a first bacterial quantity after a first preset time period based on the bacterial growth model;

[0034] A display module is configured to display the degree of dirtiness of the washing device based on the first bacteria quantity.

[0035] In a third aspect, an electronic device is provided, which includes at least one processor and at least one storage device, wherein the storage device is suitable for storing multiple program codes, and the program codes are suitable for being loaded and run by the processor to execute any of the aforementioned methods for displaying the degree of dirtiness of a washing device.

[0036] In a fourth aspect, a computer-readable storage medium is provided, wherein a plurality of program codes are stored therein, wherein the program codes are suitable for being loaded and run by a processor to execute any of the aforementioned methods for displaying the degree of dirtiness of a washing device.

[0037] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0038] The present invention provides a method for displaying the degree of dirtiness of a washing device, the method comprising: obtaining a bacterial growth model, the bacterial growth model being used to characterize the change of the number of bacteria over time under different environmental temperature and humidity conditions; determining a first bacterial number after a first preset time period based on the bacterial growth model; and displaying the degree of dirtiness of the washing device based on the first bacterial number. In this way, the number of bacteria is used as a form of expression of the degree of dirtiness of the washing device, thereby realizing the numerical and visual display of the degree of dirtiness of the washing device, making it more intuitive for users to view the degree of dirtiness of the washing device, and improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The disclosure of the present invention will become more easily understood with reference to the accompanying drawings. It is easy for those skilled in the art to understand that these drawings are only for illustrative purposes and are not intended to limit the scope of protection of the present invention. In addition, similar numbers in the figures are used to represent similar components, among which:

[0040] Figure 1 This is a schematic flow chart of the main steps of a method for displaying the degree of dirtiness of a washing device according to an embodiment of the present invention;

[0041] Figure 2 is a complete flow chart of a method for displaying the degree of dirtiness of a washing device according to an embodiment of the present invention;

[0042] Figure 3 It is a schematic diagram of the main structure block diagram of a device for displaying the degree of dirtiness of a washing device according to an embodiment of the present invention;

[0043] Figure 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0044] Some embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0045] In the description of the present invention, "module" and "processor" may include hardware, software or a combination of the two. A module may include hardware circuits, various suitable sensors, communication ports, and memories, and may also include software parts, such as program codes, or a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and / or signal processing functions. The processor may be implemented in software, hardware, or a combination of the two. Non-temporary computer-readable storage media include any suitable medium that can store program codes, such as a magnetic disk, a hard disk, an optical disk, a flash memory, a read-only memory, a random access memory, and the like. The term "A and / or B" means all possible combinations of A and B, such as only A, only B, or A and B. The term "at least one A or B" or "at least one of A and B" has a similar meaning to "A and / or B", and may include only A, only B, or A and B. The singular terms "one" and "the" may also include plural forms.

[0046] At present, the traditional method of displaying the dirtiness of the inner drum uses the number of washes as the dependent variable, uses a univariate function to calculate the dirtiness of the inner drum, and displays the calculation results in the user interface. The degree of dirtiness is expressed as a numerical value of dirtiness, with the dirtiest being 100 and the cleanest being 0. The dirtiness value only uses the number of washes as the dependent variable, and increases with the number of washes. In fact, the variable most related to the degree of dirtiness is the time since the last self-cleaning program was run. Using the number of washes as the dependent variable makes it difficult to guide users to use the drum self-cleaning function, and it is impossible to accurately and intuitively show the dirtiness of the drum.

[0047] To this end, the present application proposes a method, device, electronic device and storage medium for displaying the degree of dirtiness of a washing machine, which specifically includes: obtaining a bacterial growth model, which is used to characterize the change of the number of bacteria over time under different environmental temperature and humidity conditions; determining the first number of bacteria after a first preset time based on the bacterial growth model; and displaying the degree of dirtiness of the washing machine based on the first number of bacteria. In this way, the number of bacteria is used as a form of expression for the degree of dirtiness of the washing machine, which realizes the numerical and visual display of the degree of dirtiness of the washing machine, making it more intuitive for users to view the degree of dirtiness of the washing machine, and improving the user experience.

[0048] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the following is a detailed description of the method for displaying the degree of dirtiness of a washing device of the present application in combination with the accompanying drawings and embodiments, taking a washing machine as an example of a washing device. It should be understood by those skilled in the art that the specific embodiments described herein are only used to explain the present invention, and are not intended to limit the method for displaying the degree of dirtiness of a washing device described in the present invention to using a washing machine as a washing device.

[0049] See attached Figure 1 , Figure 1 It is a flow chart of main steps of a method for displaying the degree of dirtiness of a washing device according to an embodiment of the present invention.

[0050] like Figure 1 As shown, the method for displaying the degree of dirtiness of a washing device in an embodiment of the present invention mainly includes the following steps S100 to S300.

[0051] Step S100: Obtain a bacterial growth model, where the bacterial growth model is used to characterize changes in the number of bacteria over time under different environmental temperature and humidity conditions.

[0052] The bacterial growth model is a bacterial growth function, which is used to characterize the growth of bacterial count over time under different ambient temperatures and humidity conditions.

[0053] Step S200: determining a first bacterial quantity after a first preset time period based on the bacterial growth model.

[0054] Step S300: displaying the degree of dirtiness of the washing equipment based on the first bacterial quantity.

[0055] The number of bacteria is used as a measure of the dirtiness of washing equipment, thereby realizing the quantification and visual display of the dirtiness of washing equipment.

[0056] Based on the above steps S100 to S300, a bacterial growth model is first obtained, which is used to characterize the change of the number of bacteria over time under different environmental temperature and humidity conditions; the first number of bacteria after the first preset time is determined based on the bacterial growth model; and the degree of dirtiness of the washing equipment is displayed based on the first number of bacteria. In this way, the number of bacteria is used as a form of expression of the degree of dirtiness of the washing equipment, and the degree of dirtiness of the washing equipment is numerically quantified and visualized, so that users can view the degree of dirtiness of the washing equipment more intuitively, thereby improving the user experience.

[0057] The above steps S100 to S300 are further explained below.

[0058] Specifically, the above step S100 can be implemented through the following steps S101 to S102.

[0059] Step S101: recording the number of second bacteria at various locations of the washing device within a preset time period under different ambient temperatures and different ambient humidities.

[0060] The bacterial growth model is a bacterial growth function, which can characterize the growth of the number of bacteria over time (eg, days, hours, etc.) under different ambient temperatures and different ambient humidity conditions.

[0061] The bacterial growth model is mainly obtained through offline experiments. Specifically, experiments are conducted at different temperatures and humidities to detect and record the number of bacteria at various positions of the inner and outer drums of the washing machine during a preset time period. For example, experiments are conducted at different temperatures (such as 10, 15, 20, 25, and 30 degrees) and different humidities (such as 20%, 40%, 60%, 80%, and 100%), and the number of bacteria at various positions of the inner and outer drums is recorded.

[0062] Step S102: fitting the second bacterial quantity at each position of the washing device within the preset time period using the least square method to obtain the bacterial growth model, wherein the bacterial growth model includes an inner drum bacterial growth model and an outer drum bacterial growth model.

[0063] The least squares method (also known as the least square method) is a mathematical optimization technique that finds the best function match for data by minimizing the sum of squares of errors. The least squares method can be used to easily obtain unknown data and minimize the sum of squares of errors between the obtained data and the actual data. The least squares method can also be used for curve fitting. Some other optimization problems can also be expressed using the least squares method by minimizing energy or maximizing entropy.

[0064] By fitting the data of each set of experiments (under fixed ambient temperature and ambient humidity) using the least squares method, a model in which bacteria increase over days at each set of fixed humidity and fixed temperature can be obtained.

[0065] In this way, the growth of the number of bacteria over time at different temperatures and humidities (bacterial growth model) can be obtained through offline experiments, which is conducive to the subsequent rapid and accurate calculation of the number of bacteria in the washing machine (such as the inner drum or outer drum) at a certain time, thereby realizing the numerical measurement of the dirtiness of the washing equipment.

[0066] The above is a further description of step S100 , and the following is a further description of step S200 .

[0067] In a specific embodiment, the bacterial growth model includes an inner cylinder bacterial growth model and an outer cylinder bacterial growth model, and the first bacterial number includes an inner cylinder bacterial number and an outer cylinder bacterial number; the first bacterial number after a first preset time period is determined based on the bacterial growth model, including: obtaining a first initial bacterial number and a second initial bacterial number; obtaining the inner cylinder bacterial number based on the first initial bacterial number and the first preset time period using the inner cylinder bacterial growth model; and obtaining the outer cylinder bacterial number based on the second initial bacterial number and the first preset time period using the outer cylinder bacterial growth model.

[0068] The bacterial growth model includes an inner cylinder bacterial growth model and an outer cylinder bacterial growth model. The inner cylinder bacterial growth model is used to measure the growth of the number of bacteria in the inner cylinder under different ambient temperatures and different ambient humidity, and the outer cylinder bacterial growth model is used to measure the growth of the number of bacteria in the outer cylinder under different ambient temperatures and different ambient humidity.

[0069] The first initial bacterial count is the initial bacterial count of the inner drum, and the second initial bacterial count is the initial bacterial count of the outer drum, wherein the initial count may be the bacterial count on the first day after the drum self-cleaning mode was last executed.

[0070] The first preset time length is the time from the current time to the first day after the drum self-cleaning mode is executed, for example, the number of days.

[0071] Since the inner cylinder bacteria growth model and the outer cylinder bacteria growth model are both functions of bacteria growth over time (e.g., days), after obtaining the first initial number of bacteria and the first preset time, the first initial number of bacteria and the first preset time are brought into the inner cylinder bacteria growth model to obtain the inner cylinder bacteria number.

[0072] After obtaining the second initial number of bacteria and the first preset time, the second initial number of bacteria and the first preset time are brought into the outer cylinder bacteria growth model to obtain the outer cylinder bacteria number.

[0073] In this way, the bacterial growth model can be used to accurately and quickly obtain the number of bacteria in the washing machine drum at the current time, which is conducive to improving the calculation accuracy and efficiency of the bacterial number.

[0074] The above is a further description of step S200 , and the following is a further description of step S300 .

[0075] Specifically, the above step S300 can be implemented through the following steps S301 to S302.

[0076] Step S301: constructing a three-dimensional model of a washing machine, wherein the three-dimensional model of the washing machine includes a three-dimensional model of an inner drum and a three-dimensional model of an outer drum.

[0077] In a specific embodiment, constructing a three-dimensional model of a washing device includes: obtaining structural information for constructing the three-dimensional model of the washing device, wherein the structural information is data information constituting an inner drum and an outer drum of the washing device; and processing the structural information using a Three.js engine to obtain the three-dimensional model of the washing device.

[0078] The data information of the inner cylinder and the outer cylinder may be information such as the shape and size of the inner cylinder and the outer cylinder, but is not limited thereto.

[0079] Three.js is a WebGL engine that can use JavaScript to write 3D programs. It can directly run GPU-driven games and graphics drivers for browsers. As a WebGL third-party library written in JavaScript, Three.js can provide a large number of features and APIs to draw 3D scenes and apply them to browsers. Among them, JavaScript is a scripting language running on the web page.

[0080] Specifically, after the data information of the inner drum and the outer drum is obtained, it is input into the Three.js engine, so that the structural information is processed by the Three.js engine, thereby obtaining the inner drum 3D model and the outer drum 3D model of the washing device.

[0081] Step S302: Mapping the number of bacteria in the inner drum and the number of bacteria in the outer drum to the inner drum three-dimensional model and the outer drum three-dimensional model of the washing device respectively.

[0082] Specifically, the Three.js engine was used to map the number of bacteria in the inner cylinder to the corresponding positions of the inner cylinder 3D model in the form of dots, and the number of bacteria in the outer cylinder to the corresponding positions of the outer cylinder 3D model in the form of dots, where one bacterium can be represented by one dot.

[0083] Step S303: displaying the three-dimensional model of the washing equipment.

[0084] In this way, a visual display of the dirtiness of the washing equipment is achieved. The user can directly observe the number of bacteria in the current washing equipment or the degree of contamination of the washing equipment from the three-dimensional model of the washing equipment, which is conducive to improving the user experience.

[0085] In a specific embodiment, the method further includes: obtaining a bacterial growth change rate based on the bacterial growth model; and determining whether to start a drum self-cleaning mode based on the bacterial growth change rate.

[0086] The bacterial growth rate is the number of bacteria that grow per unit time.

[0087] Specifically, the number of bacteria in a preset time period can be obtained according to the bacterial growth model, and then the bacterial growth change rate in the time period can be obtained according to the number of bacteria in the time period. When the bacterial growth change rate exceeds the preset growth rate, it is determined to turn on the drum self-cleaning mode, and the washing device can clean the washing device according to the parameters corresponding to the drum self-cleaning mode, such as high-temperature sterilization. In this way, the washing device can be accurately controlled according to the number of bacteria, thereby improving the user experience and achieving the cleaning of the washing device.

[0088] In a specific embodiment, the method further includes: sending a prompt message to a terminal device connected to the washing device based on the bacterial growth change rate; and / or turning off the drum self-cleaning mode after the drum self-cleaning mode executes a second preset time period.

[0089] Specifically, the terminal device held by the user can establish a network connection relationship with the washing machine in advance, and after determining the connection relationship, send a prompt message to the terminal device, and the prompt message may include the number of bacteria, the bacterial growth change rate, etc.

[0090] After the drum self-cleaning mode is executed for a second preset time, it is considered that the bacteria in the washing device have been completely removed, so the drum self-cleaning mode is turned off, thereby reducing resource waste and improving user experience.

[0091] Specific as Figure 2 As shown, in one embodiment, the complete process of the method for displaying the dirtiness of a washing device can be implemented through the following steps.

[0092] Step S400: Conduct experiments at different temperatures and humidities to detect the number of bacteria in each position of the washing machine every day.

[0093] Step S500: Fit each set of experimental data using the least squares method to obtain an increasing function of bacteria with the number of days at different temperatures and humidity, that is, a bacterial growth model.

[0094] Step S600: Calculate the number of bacteria at the current moment or after a preset time period using the bacteria growth model. In one embodiment, the bacteria growth function may also be differentiated to obtain the differential of the current function with respect to the number of days.

[0095] Step S700: Mapping the bacterial quantity to the three-dimensional model of the washing machine. The bacterial quantity in this application refers to the cumulative amount of bacteria over time.

[0096] In addition to mapping the number of bacteria to the three-dimensional model of the washing machine, the daily bacterial increment can also be calculated and mapped to the three-dimensional model of the washing machine. For example, after each washing, the humidity is increased to 100%. When calculating the bacterial value on the second day of this washing, the daily increment is calculated according to the differential of the fitting curve of 100% humidity and current temperature * the current number of days. For example, the temperature on the nth day is t and the amount of bacteria is y. Washing is performed on the nth day. When calculating the amount of bacteria on the n+1th day, the fitting curve F(x) with temperature t and humidity 100% is used. Substitute the amount of bacteria y on the nth day into F(x), solve x1, and substitute it into the differential equation to obtain the increment of F(x) at x when Δx is 1, which is the amount of bacteria increased on that day. In this way, a visual display of the degree of dirtiness of the washing machine is achieved.

[0097] It should be pointed out that although the various steps in the above embodiments are described in a specific order, those skilled in the art can understand that in order to achieve the effects of the present invention, different steps do not have to be performed in such an order. They can be performed simultaneously (in parallel) or in other orders. These changes are within the scope of protection of the present invention.

[0098] Furthermore, the present invention also provides a device for displaying the degree of dirtiness of a washing device.

[0099] See attached Figure 3 , Figure 3 It is a main structural block diagram of a device for displaying the degree of dirtiness of a washing device according to an embodiment of the present invention.

[0100] like Figure 3As shown, the dirtiness display device of the washing equipment in the embodiment of the present invention mainly includes an acquisition module 11, a determination module 12 and a display module 13. In some embodiments, one or more of the acquisition module 11, the determination module 12 and the display module 13 can be combined into one module.

[0101] In some embodiments, the acquisition module 11 may be configured to acquire a bacterial growth model, where the bacterial growth model is used to characterize changes in the number of bacteria over time under different environmental temperature and humidity conditions.

[0102] The determination module 12 may be configured to determine a first bacterial count after a first preset time period based on the bacterial growth model.

[0103] The display module 13 may be configured to display the degree of dirtiness of the washing device based on the first bacteria quantity.

[0104] In one implementation, the description of the specific implementation functions may refer to steps S100 to S300.

[0105] The device for displaying the degree of dirtiness of a washing device provided by the present application specifically comprises an acquisition module that acquires a bacterial growth model; a determination module that determines a first bacterial quantity after a first preset time period based on the bacterial growth model; and a display module that displays the degree of dirtiness of the washing device based on the first bacterial quantity. In this way, the degree of dirtiness of the washing device is numerically quantified and visually displayed by taking the bacterial quantity as the expression form of the degree of dirtiness of the washing device, making it more intuitive for users to view the degree of dirtiness of the washing device, thereby improving the user experience.

[0106] The above-mentioned washing equipment dirtiness display device is used to perform Figure 1 The embodiment of the method for displaying the degree of dirtiness of washing equipment shown in the figure has similar technical principles, technical problems solved and technical effects produced. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process and related instructions of the device for displaying the degree of dirtiness of washing equipment can refer to the contents described in the embodiment of the method for displaying the degree of dirtiness of washing equipment, and will not be repeated here.

[0107] It is understood by those skilled in the art that the present invention implements all or part of the processes in the method of the above embodiment, and can also be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may include: any entity or device, medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium that can carry the computer program code. It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electric carrier signals and telecommunication signals.

[0108] Furthermore, the present invention also provides an electronic device. In an electronic device embodiment according to the present invention, Figure 4 As shown, the electronic device includes at least one processor 41 and at least one storage device 42. The storage device 42 can be configured to store a program for executing the method for displaying the degree of dirtiness of a washing device in the above method embodiment. The processor 41 can be configured to execute the program in the storage device, which includes but is not limited to the program for executing the method for displaying the degree of dirtiness of a washing device in the above method embodiment. For ease of explanation, only the part related to the embodiment of the present invention is shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present invention.

[0109] In the embodiment of the present invention, the electronic device may be a control device device formed by various devices. In some possible implementations, the electronic device may include multiple storage devices and multiple processors. The program for executing the method for displaying the degree of dirtiness of the washing equipment in the above method embodiment may be divided into multiple subprograms, and each subprogram may be loaded and run by the processor to execute different steps of the method for displaying the degree of dirtiness of the washing equipment in the above method embodiment. Specifically, each subprogram may be stored in different storage devices, and each processor may be configured to execute the programs in one or more storage devices to jointly implement the method for displaying the degree of dirtiness of the washing equipment in the above method embodiment, that is, each processor executes different steps of the method for displaying the degree of dirtiness of the washing equipment in the above method embodiment, to jointly implement the method for displaying the degree of dirtiness of the washing equipment in the above method embodiment.

[0110] The above-mentioned multiple processors may be processors deployed on the same device. For example, the above-mentioned electronic device may be a high-performance device composed of multiple processors, and the above-mentioned multiple processors may be processors configured on the high-performance device. In addition, the above-mentioned multiple processors may also be processors deployed on different devices. For example, the above-mentioned electronic device may be a server cluster, and the above-mentioned multiple processors may be processors on different servers in the server cluster.

[0111] Furthermore, the present invention also provides a computer-readable storage medium. In a computer-readable storage medium embodiment according to the present invention, the computer-readable storage medium can be configured to store a program for executing the method for displaying the degree of dirtiness of a washing device according to the above method embodiment, and the program can be loaded and run by a processor to implement the above method for displaying the degree of dirtiness of a washing device. For ease of explanation, only the parts related to the embodiment of the present invention are shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present invention. The computer-readable storage medium can be a storage device including various electronic devices. Optionally, the computer-readable storage medium in the embodiment of the present invention is a non-temporary computer-readable storage medium.

[0112] Further, it should be understood that since the setting of each module is only for illustrating the functional units of the device of the present invention, the physical devices corresponding to these modules may be the processor itself, or a part of the software in the processor, a part of the hardware, or a part of the combination of software and hardware. Therefore, the number of each module in the figure is only schematic.

[0113] Those skilled in the art will appreciate that the modules in the device can be adaptively split or merged. Such splitting or merging of specific modules will not cause the technical solution to deviate from the principle of the present invention, and therefore, the technical solutions after splitting or merging will fall within the protection scope of the present invention.

[0114] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A method for displaying the degree of dirtiness of a washing device, characterized in that: The method comprises: Obtaining a bacterial growth model, wherein the bacterial growth model is used to characterize changes in the number of bacteria over time under different environmental temperature and humidity conditions; Determining a first bacterial count after a first preset time period based on the bacterial growth model; The degree of dirtiness of the washing equipment is displayed based on the first bacteria quantity.

2. The method for displaying the degree of dirtiness of a washing machine according to claim 1, characterized in that: Obtain a bacterial growth model by following these steps: Record the number of second bacteria at various locations of the washing equipment within a preset time period under different ambient temperatures and different ambient humidities; The second bacteria quantity at each position of the washing device within the preset time period is fitted by the least square method to obtain the bacteria growth model, wherein the bacteria growth model includes an inner drum bacteria growth model and an outer drum bacteria growth model.

3. The method for displaying the degree of dirtiness of a washing machine according to claim 1, characterized in that: The bacterial growth model includes an inner cylinder bacterial growth model and an outer cylinder bacterial growth model, and the first bacterial quantity includes an inner cylinder bacterial quantity and an outer cylinder bacterial quantity; The determining of a first bacterial quantity after a first preset time period based on the bacterial growth model includes: Obtaining a first initial number of bacteria and a second initial number of bacteria; Obtaining the number of bacteria in the inner cylinder by using the inner cylinder bacteria growth model based on the first initial number of bacteria and the first preset time; The outer cylinder bacteria quantity is obtained by utilizing the outer cylinder bacteria growth model based on the second bacteria initial quantity and the first preset time.

4. The method for displaying the degree of dirtiness of a washing machine according to claim 3, characterized in that: The displaying of the degree of dirtiness of the washing equipment based on the first bacterial quantity includes: Constructing a three-dimensional model of a washing device, wherein the three-dimensional model of the washing device includes a three-dimensional model of an inner drum and a three-dimensional model of an outer drum; Mapping the number of bacteria in the inner drum and the number of bacteria in the outer drum to the inner drum three-dimensional model and the outer drum three-dimensional model of the washing device respectively; The three-dimensional model of the washing equipment is displayed.

5. The method for displaying the degree of dirtiness of a washing machine according to claim 4, characterized in that: The construction of the three-dimensional model of the washing equipment comprises: Acquire structural information for constructing a three-dimensional model of the washing device, wherein the structural information is data information constituting an inner drum and an outer drum of the washing device; The structural information is processed using the Three.js engine to obtain the three-dimensional model of the washing equipment.

6. The method for displaying the degree of dirtiness of a washing machine according to claim 1, characterized in that: The method further comprises: Obtaining a bacterial growth change rate based on the bacterial growth model; Whether to start the drum self-cleaning mode is determined based on the bacterial growth change rate.

7. The method for displaying the degree of dirtiness of a washing machine according to claim 6, characterized in that: The method further comprises: Based on the bacterial growth change rate, sending a prompt message to a terminal device connected to the washing device; and / or After the barrel self-cleaning mode is turned on for a second preset time period, the barrel self-cleaning mode is turned off.

8. A device for displaying the degree of dirtiness of a washing machine, characterized in that: The device comprises: An acquisition module, the acquisition module is configured to acquire a bacterial growth model, the bacterial growth model is used to characterize the change of the number of bacteria over time under different environmental temperature and humidity conditions; a determination module, the determination module being configured to determine a first bacterial quantity after a first preset time period based on the bacterial growth model; A display module is configured to display the degree of dirtiness of the washing device based on the first bacteria quantity.

9. An electronic device comprising at least one processor and at least one storage device, wherein the storage device is suitable for storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by the processor to execute the method for displaying the degree of dirtiness of a washing device according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by a processor to execute the method for displaying the degree of dirtiness of a washing device according to any one of claims 1 to 7.

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