Washing equipment self-cleaning method and device, equipment and storage medium
By using turbidity sensors and climate information in the washing equipment to determine the weighting coefficient, accurately assess dirt and select cleaning procedures, the problem of inaccurate dirt threshold is solved, the washing effect and user experience are improved, and the equipment is cleaned internally.
Patent Information
- Application Number
- CN202310696539.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-06-12
- Publication Date
- 2024-12-13
AI Technical Summary
The setting of dirt threshold in the prior art is inaccurate, which affects the washing effect and user experience, and fails to effectively consider the impact of climate factors on the bacterial growth of barrels and rubber stools in the washing equipment.
By setting up a turbidity sensor in the washing equipment, determining the weighting coefficient based on the current climate information, multiplying it with the standard turbidity threshold to obtain the actual dirt threshold, and comparing the current dirt value and the actual dirt threshold, determining the target cleaning procedure , including sterilization and smell removal procedures, preset self-cleaning procedures or repair requests.
A more accurate dirt assessment and cleaning procedure selection is achieved, ensuring that the interior of the washing equipment is clean, improving the washing effect and user experience, and avoiding the impact of bacterial growth on health.
Smart Images
Figure CN119121571A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the field of electrical appliance technology, and specifically relates to a self-cleaning method, device, equipment, and storage medium for washing equipment. Background Art
[0002] Currently, washing machines such as washing machines are widely used. However, after long-term use, dirt and bacteria will remain in the inner barrel and rubber cover of the washing machine, which will not only affect the washing effect of the clothes, but also endanger the health of the user.
[0003] In the face of the above problems, the prior art solves the problem by providing a self-cleaning device in the washing device to detect the degree of dirtiness of the washing device. If the degree of dirtiness exceeds a dirtiness threshold, a self-cleaning program is started.
[0004] However, the dirtiness threshold value is not set accurately in the prior art, which affects the washing effect and user experience. Summary of the invention
[0005] The present application provides a self-cleaning method, device, equipment, and storage medium for washing equipment, which are used to solve the technical problem in the prior art that the dirtiness threshold is not accurately set, affecting the washing effect and user experience.
[0006] In a first aspect, the present application provides a self-cleaning method for a washing device, wherein the washing device is provided with a turbidity sensor, and the method comprises:
[0007] Determining a weighting coefficient according to current climate information of the environment in which the washing device is located;
[0008] Multiplying the weighting coefficient by the standard turbidity threshold of the washing equipment to obtain an actual dirtiness threshold of the washing equipment;
[0009] Controlling the turbidity sensor to detect the current dirtiness value of the washing device;
[0010] Determining a target cleaning procedure of the washing device according to a comparison result of the current dirtiness value and the actual dirtiness threshold value;
[0011] The washing device is controlled to execute the target cleaning program.
[0012] In the above preferred technical solution of the self-cleaning method for a washing device, the current climate information includes: weather information and season information; the weighting coefficient is determined according to the current climate information of the environment in which the washing device is located, including:
[0013] Obtaining weather information and season information of the environment in which the washing device is located;
[0014] Determine a weather weighting coefficient according to the weather information, and determine a season weighting coefficient according to the season information;
[0015] The weather weighting coefficient and the season weighting coefficient are multiplied to obtain the weighting coefficient.
[0016] In the above preferred technical solution of the self-cleaning method for a washing device, after determining the weighting coefficient according to the current climate information of the environment in which the washing device is located, the method further includes:
[0017] Obtaining model information of the turbidity sensor;
[0018] Determining a model weighting coefficient of the turbidity sensor according to the model information of the turbidity sensor;
[0019] The model weighting coefficient, the weather weighting coefficient, and the season weighting coefficient are multiplied to update the weighting coefficient.
[0020] In the above preferred technical solution of the self-cleaning method for a washing machine, the self-cleaning program of the washing machine is determined according to the comparison result between the current dirtiness value and the actual dirtiness threshold, including:
[0021] Determining a plurality of dirtiness threshold ranges according to the actual dirtiness threshold;
[0022] The self-cleaning program of the washing device is determined according to the dirtiness threshold range in which the current dirtiness value lies.
[0023] In the above preferred technical solution of the self-cleaning method for washing equipment, the determining of several dirtiness threshold ranges according to the actual dirtiness threshold includes:
[0024] According to the actual dirtiness threshold, a first dirtiness threshold range and a second dirtiness threshold range are determined, wherein the maximum dirtiness value of the first dirtiness threshold range is the actual dirtiness threshold, and the minimum dirtiness value of the second dirtiness threshold range is the actual dirtiness threshold.
[0025] In the above-mentioned preferred technical solution of the self-cleaning method for a washing device, determining the target cleaning procedure of the washing device according to the dirtiness threshold range in which the current dirtiness value is located includes:
[0026] If the current dirtiness value is within the first dirtiness threshold range, a sterilization and deodorization program is determined as the target cleaning program;
[0027] If the current dirtiness value is within the second dirtiness threshold range, the preset self-cleaning program is determined as the target cleaning program.
[0028] In the above preferred technical solution of the self-cleaning method for washing equipment, the method further comprises:
[0029] Determine a third dirtiness threshold range according to the actual dirtiness threshold, wherein a minimum dirtiness value of the third dirtiness threshold range is greater than a maximum dirtiness value of the second dirtiness threshold range;
[0030] If the current dirtiness value is within the third dirtiness threshold range, pushing a maintenance request message to the user;
[0031] In response to the user's maintenance confirmation instruction, the current dirtiness value and the actual dirtiness threshold are sent to the maintenance terminal.
[0032] In the above preferred technical solution of the self-cleaning method for a washing device, the step of controlling the washing device to execute the target cleaning procedure includes:
[0033] If the target cleaning program is the sterilization and deodorization program or the preset self-cleaning program, an execution request message is pushed to the user, wherein the execution request message includes: the target cleaning program, the current dirtiness value, and the actual dirtiness threshold value;
[0034] In response to an execution instruction from a user, the washing device is controlled to execute the target cleaning program.
[0035] In the above preferred technical solution of the self-cleaning method for washing equipment, the method further comprises:
[0036] Obtaining the model information of the washing device and the number of times the washing device has completed washing;
[0037] The standard dirtiness threshold matching the model of the washing device is determined according to the machine model information and the number of completed washes.
[0038] In a second aspect, the present application provides a self-cleaning device for a washing machine, the device comprising:
[0039] The first determination module is used to:
[0040] Determining a weighting coefficient according to current climate information of the environment in which the washing device is located;
[0041] Multiplying the weighting coefficient by the standard turbidity threshold of the washing equipment to obtain an actual dirtiness threshold of the washing equipment;
[0042] A detection module, used to control a turbidity sensor to detect a current dirtiness value of the washing device;
[0043] The second determination module is used for:
[0044] Determining a target cleaning procedure of the washing device according to a comparison result of the current dirtiness value and the actual dirtiness threshold value;
[0045] A control module is used to control the washing device to execute the target cleaning program.
[0046] In a third aspect, the present application provides a self-cleaning device for a washing device, the device comprising:
[0047] Memory, processor;
[0048] The memory is used to store computer programs;
[0049] The processor is used to execute the computer program stored in the memory to implement the self-cleaning method of the washing device as described above.
[0050] In a fourth aspect, the present application provides a readable storage medium having a computer program stored thereon; the computer program is used to implement the self-cleaning method for a washing device as described above.
[0051] The present application provides a washing equipment self-cleaning method, device, equipment, and storage medium, which converts the current climate information of the environment in which the washing equipment is located into a weighted coefficient and multiplies it with the standard turbidity threshold of the washing equipment, and takes into account the influence of the climate when determining the actual dirtiness threshold of the washing equipment, thereby making the actual dirtiness threshold more accurate. Since the present application determines the target cleaning program by comparing the current dirtiness value of the washing equipment with the actual dirtiness threshold, the accurate actual dirtiness threshold can enable the washing equipment to execute the target cleaning program in a timely manner, ensuring the cleanliness of the interior of the washing equipment, thereby preventing bacteria and dirt inside the washing equipment from affecting the washing effect, and improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS
[0052] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.
[0053] Figure 1 This is a flow chart of a self-cleaning method for a washing device provided in an embodiment of the present application;
[0054] Figure 2 is a flow chart of a method for determining a weighting coefficient based on current climate information provided by an embodiment of the present application;
[0055] Figure 3 is a flow chart of a method for determining a self-cleaning program of a washing device provided in an embodiment of the present application;
[0056] Figure 4 It is a schematic diagram of a self-cleaning device for washing equipment provided in an embodiment of the present application;
[0057] Figure 5 It is a schematic diagram of a self-cleaning device for washing equipment provided in an embodiment of the present application.
[0058] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION
[0059] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0060] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in sequences other than those illustrated or described herein, for example.
[0061] In the embodiments of the present application, the words "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.
[0062] In order to solve the problem of bacteria breeding in the inner barrel and rubber cover of the washing equipment, the existing solution is to install a dirtiness detection device and a self-cleaning device in the washing equipment, and set a fixed dirtiness threshold. When it is detected that the dirtiness of the washing equipment reaches the dirtiness threshold, the washing equipment is self-cleaned.
[0063] However, climate factors such as weather and seasons can also affect the dirtiness of washing equipment. For example, bacteria are easily bred in the inner barrel in rainy summer weather. If the amount of bacteria in the inner barrel is too high, it will have an adverse effect on the health of the user. However, the prior art does not consider climate factors when setting the dirtiness threshold, resulting in an inaccurate dirtiness threshold. The self-cleaning program is not started when the washing equipment may have bred a lot of bacteria, which affects the cleanliness of the washing equipment, thereby adversely affecting the washing effect and reducing the user's experience.
[0064] In order to solve the problems of the above-mentioned prior art, the technical concept proposed in this application is: converting the current climate information of the environment where the washing equipment is located into a weighting coefficient, multiplying the weighting coefficient with the standard turbidity threshold of the washing equipment to obtain the actual dirtiness threshold of the washing equipment, and then determining the target cleaning program based on the comparison between the current dirtiness value of the washing equipment and the actual dirtiness threshold.
[0065] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.
[0066] In a possible embodiment of the present application, a self-cleaning method for a washing device is provided. The method can be applied to a control module of the washing device and can also be applied to a cloud server. Figure 1 This is a flow chart of a self-cleaning method for a washing device provided in an embodiment of the present application. Figure 1 As shown, the method includes:
[0067] S101, determining a weighting coefficient according to current climate information of the environment in which the washing device is located;
[0068] Specifically, the washing device can obtain the weather forecast of the area where the washing device is located through the network interface, thereby obtaining the current climate information of the environment where the washing device is located.
[0069] After obtaining the current climate information, the weighting coefficient can be determined according to the current climate information, and different weighting coefficients correspond to different weather, seasons, temperature and humidity. In this application, the weighting coefficient corresponding to rainy weather and spring and summer seasons can be made less than 1, so that after multiplying the weighting coefficient and the standard turbidity threshold of the washing equipment, the actual dirtiness threshold obtained is less than the standard turbidity threshold.
[0070] S102, multiplying the weighting coefficient by the standard turbidity threshold of the washing equipment to obtain an actual dirtiness threshold of the washing equipment;
[0071] Optionally, in this step, the standard turbidity threshold of the washing equipment may be obtained by the following method:
[0072] Obtain the model information of the washing equipment and the number of times the washing equipment has completed washing;
[0073] According to the machine model information and the number of completed washes, a standard turbidity threshold matching the model of the washing equipment is determined.
[0074] The number of times the washing device has completed washing can be obtained by setting a recording program in the washing device control module. Each time the washing device washes, the washing information is reported to the cloud server, and the cloud server records the number of times the washing device has completed washing.
[0075] In order to determine the standard turbidity threshold of the washing equipment, the dirtiness of the washing equipment of this type after N washings in a new state can be determined in advance through experiments or simulations. In the experiments or simulations, the dirtiness of the washing equipment is also detected by a turbidity sensor.
[0076] The washing equipment reports the model information of the washing equipment and the number of completed washes of the washing equipment to the cloud server, and the cloud server calculates the standard turbidity threshold that matches the model of the washing equipment based on the stored dirtiness of the washing equipment after N washes in a new state and the number of completed washes.
[0077] The weighting coefficient obtained in step S101 is multiplied by the standard turbidity threshold to obtain an actual dirtiness threshold that better matches the current climate.
[0078] S103, controlling the turbidity sensor to detect the current dirtiness value of the washing equipment;
[0079] In this embodiment, the turbidity sensor can be installed at the outlet of the drain pipe close to the outer wall of the lower barrel of the washing device. Since the residual water left after the washing device is drained is not easy to drain, the place where dirt is most likely to remain is the inner wall of the outer barrel at the bottom of the washing device. The turbidity sensor is installed here, which can well detect the dirt between the inner and outer barrels of the washing device.
[0080] Since the accumulated dirt can affect the intensity of light received by the phototransistor in the turbidity sensor, based on the principle of the turbidity sensor, the dirtiness of the washing equipment can be detected by the turbidity sensor. Specifically, when there is no water in the drain pipe, the detection value of the turbidity sensor is recorded as the current dirtiness value detected. It should be noted that the dirtiness of the washing equipment of this model after washing N times in a brand new state in step S102 is also obtained by the same method.
[0081] Optionally, after the turbidity sensor detects the current dirtiness value of the washing device, the washing device can notify the user through voice broadcast or screen display, so that the user can know the dirtiness of the washing device without operating it himself, thereby improving the user experience.
[0082] S104, determining a target cleaning procedure of the washing device according to a comparison result between the current dirtiness value and the actual dirtiness threshold;
[0083] After detecting the current dirtiness value, the washing device can upload the current dirtiness value to the cloud server through the network, and the cloud server determines different target cleaning programs based on the comparison result between the current dirtiness value and the actual dirtiness threshold.
[0084] S105, controlling the washing equipment to execute a target cleaning procedure.
[0085] The technical effect of this embodiment is: the current climate information of the environment where the washing device is located is converted into a weighted coefficient and multiplied with the standard turbidity threshold of the washing device, and the influence of the climate is taken into account when determining the actual dirtiness threshold of the washing device, so that the actual dirtiness threshold is more accurate. At the same time, the target cleaning program is determined by comparing the current dirtiness value of the washing device with the actual dirtiness threshold, so the accurate actual dirtiness threshold can enable the washing device to execute the target cleaning program in time, ensure the cleanliness of the inside of the washing device, thereby preventing the bacteria and dirt inside the washing device from affecting the washing effect, and improving the user experience.
[0086] In a possible embodiment of the present application, a method for determining a weighting coefficient according to current climate information is provided. Figure 2 is a flow chart of a method for determining a weighting coefficient based on current climate information provided by an embodiment of the present application, such as Figure 2 As shown, the method includes:
[0087] S201, obtaining weather information and season information of the environment in which the washing device is located;
[0088] The current climate information of the environment where the washing device is located may include: weather information and season information. As described in the previous embodiment, after obtaining the current climate information of the environment where the washing device is located, weather information such as rainy weather and season information such as spring may be obtained.
[0089] S202, determining a weather weighting coefficient according to weather information, and determining a season weighting coefficient according to season information;
[0090] Specifically, different coefficients can be assigned to different weather and seasons, such as the following table: Table 1: Weather weighting coefficient values Value sunny Cloudy rain N1 1 0.9 0.8 Table 2 Seasonal weighted coefficient values Value Spring, Autumn summer winter N2 0.9 0.8 1
[0091] The above table is only used to illustrate the general rules for determining the weather weighting coefficient based on weather information and the season weighting coefficient based on season information, and does not make specific limitations on this application. For weather or seasons that are prone to breeding bacteria, the corresponding weather weighting coefficient or season weighting coefficient can be set to less than 1. The more likely it is to breed bacteria, the smaller the corresponding weather weighting coefficient or season weighting coefficient. After multiplying by the standard turbidity threshold of the washing device, the more likely it is to breed bacteria, the lower the actual dirtiness threshold of the washing device, so that the washing device can start the self-cleaning program in time.
[0092] S203: Multiply the weather weighting coefficient and the season weighting coefficient to obtain a weighting coefficient.
[0093] The weighting coefficient can be calculated by the following formula:
[0094] Q N =N1×N2×Q
[0095] Among them, Q is the standard turbidity threshold of the washing equipment, N1 is the weather weighting coefficient, N2 is the season weighting coefficient, Q N is the actual dirtiness threshold.
[0096] In this step, optionally, the model information of the turbidity sensor can also be obtained, and the model weighting coefficient of the turbidity sensor can be determined according to the model information of the turbidity sensor, and the model weighting coefficient, the weather weighting coefficient, and the season weighting coefficient can be multiplied to update the weighting coefficient. The value of the model weighting coefficient of the turbidity sensor is mainly reserved for the interface to prevent errors caused by the accuracy differences of detection devices from different manufacturers. The default value is 1, and it can also be set to other parameter values according to the model of the turbidity sensor.
[0097] Based on the above embodiments, a possible embodiment of the present application provides a method for determining a self-cleaning program of a washing device. Figure 3 is a flow chart of a method for determining a self-cleaning program of a washing device provided in an embodiment of the present application, such as Figure 3 As shown, the method includes:
[0098] S301, determining a plurality of dirtiness threshold ranges according to an actual dirtiness threshold;
[0099] Specifically, the dirtiness threshold range can be determined based on the actual dirtiness threshold, and the first dirtiness threshold range and the second dirtiness threshold range can be determined. The maximum dirtiness value of the first dirtiness threshold range is the actual dirtiness threshold, and the minimum dirtiness value of the second dirtiness threshold range is the actual dirtiness threshold.
[0100] For example, the value range of the first dirtiness threshold range may be 0.8Q N -Q N , the second dirtiness threshold range can be Q N -1.5Q N .
[0101] Optionally, a third dirtiness threshold range may be determined according to the actual dirtiness threshold, and the minimum dirtiness value of the third dirtiness threshold range is greater than the maximum dirtiness value of the second dirtiness threshold range. For example, in this embodiment, the value range of the third dirtiness threshold range may be greater than 1.5Q N .
[0102] S302: Determine a self-cleaning program of the washing device according to a dirtiness threshold range within which the current dirtiness value lies.
[0103] Specifically, determining the target cleaning procedure of the washing device according to the dirtiness threshold range in which the current dirtiness value is located may include:
[0104] If the current dirtiness value is within the first dirtiness threshold range, the sterilization and deodorization program is determined as the target cleaning program;
[0105] If the current dirtiness value is within the second dirtiness threshold range, the preset self-cleaning program is determined as the target cleaning program.
[0106] If the current dirtiness value is within the first dirtiness threshold range, the internal dirtiness of the washing machine is generally low, but bacteria may breed. In this case, the sterilization and deodorization program can be determined as the target cleaning program to sterilize and deodorize the washing machine. It should be noted that the specific sterilization and deodorization program recommendation can be dynamically determined and adjusted based on the function items of the specific model of the washing machine.
[0107] Optionally, if the current dirtiness value is within the third dirtiness threshold range, a maintenance request message is pushed to the user, and in response to the user's maintenance confirmation instruction, the current dirtiness value and the actual dirtiness threshold are sent to the maintenance terminal. It should be noted that if the current dirtiness value is within the third dirtiness threshold range, the user is asked whether to apply for maintenance through voice broadcast, screen display, etc.: if the user agrees to the maintenance, the current dirtiness value and the actual dirtiness threshold are sent to the maintenance terminal; if the user does not agree to the maintenance, the user is informed of the relevant risks through voice broadcast, and the self-cleaning program is recommended to the user.
[0108] If the current dirtiness value reaches the third dirtiness threshold range, it means that the washing equipment is very dirty and cannot effectively self-clean. It is necessary to contact maintenance personnel for door-to-door service and send the current dirtiness value and actual dirtiness threshold to the maintenance terminal to facilitate cleaning by maintenance personnel.
[0109] The technical effect of this embodiment is: determining several dirtiness threshold ranges according to the actual dirtiness threshold, and determining different self-cleaning programs according to which dirtiness threshold range the current dirtiness value belongs to, with higher flexibility.
[0110] In a possible embodiment of the present application, a method for controlling a washing device to perform a target cleaning program is provided, the method comprising:
[0111] If the target cleaning program is a sterilization and deodorization program or a preset self-cleaning program, an execution request message is pushed to the user, and the execution request message includes: the target cleaning program, the current dirtiness value, and the actual dirtiness threshold;
[0112] Specifically, the execution request message may be pushed to the user through voice broadcast or screen display.
[0113] In response to the user's execution instruction, the washing device is controlled to execute the target cleaning program.
[0114] In a possible embodiment of the present application, a self-cleaning device for washing equipment is provided. Figure 4 Schematic diagram of a self-cleaning device for washing equipment provided in an embodiment of the present application. Figure 4 As shown, the device 40 includes: a first determination module 401, a detection module 402, a second determination module 403, and a control module 404;
[0115] The first determining module 401 is used to:
[0116] Determining a weighting coefficient based on current climate information of the environment in which the washing equipment is located;
[0117] Multiplying the weighting coefficient by the standard turbidity threshold of the washing equipment to obtain the actual dirtiness threshold of the washing equipment;
[0118] A detection module 402, used to control the turbidity sensor to detect the current dirtiness value of the washing device;
[0119] The second determining module 403 is used to:
[0120] According to the comparison result between the current dirtiness value and the actual dirtiness threshold value, the target cleaning program of the washing equipment is determined.
[0121] The control module 404 is used to control the washing device to execute a target cleaning program.
[0122] In a possible embodiment of the present application, a self-cleaning device for washing equipment is provided. Figure 5 Schematic diagram of a washing device self-cleaning device provided in an embodiment of the present application, such as Figure 5As shown, the device 50 includes: a memory 501, a processor 502, and a communication component 503, and the memory 501, the processor 502, and the communication component 503 are connected via a bus 504;
[0123] The memory 501 is used to store computer programs;
[0124] The processor 502 is used to execute the computer program stored in the memory 501 to implement the self-cleaning method of the washing device as described above.
[0125] The specific implementation process of the processor 502 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.
[0126] In the above Figure 5 In the illustrated embodiment, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the invention may be directly implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.
[0127] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (Non-volatile Memory, NVM), such as at least one disk memory.
[0128] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or type of bus. In a possible embodiment of the present application, a readable storage medium is also provided, on which a computer program is stored; the computer program is used to implement the self-cleaning method of the washing device as described above.
[0129] The computer-readable storage medium mentioned above can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.
[0130] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.
[0131] The division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, which may be electrical, mechanical or other forms.
[0132] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0133] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
[0134] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.
[0135] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.
[0136] So far, the technical solution of the present application has 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 application is obviously not limited to these specific embodiments, and the above embodiments are only used to illustrate the technical solution of the present application rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.
Claims
1. A self-cleaning method for washing equipment, characterized in that: The washing device is provided with a turbidity sensor, and the method comprises: Determining a weighting coefficient according to current climate information of the environment in which the washing device is located; Multiplying the weighting coefficient by the standard turbidity threshold of the washing equipment to obtain an actual dirtiness threshold of the washing equipment; Controlling the turbidity sensor to detect the current dirtiness value of the washing device; Determining a target cleaning procedure of the washing device according to a comparison result of the current dirtiness value and the actual dirtiness threshold value; The washing device is controlled to execute the target cleaning program.
2. The method according to claim 1, characterized in that The current climate information includes: weather information and season information; the weighting coefficient is determined according to the current climate information of the environment where the washing device is located, including: Obtaining weather information and season information of the environment in which the washing device is located; Determine a weather weighting coefficient according to the weather information, and determine a season weighting coefficient according to the season information; The weather weighting coefficient and the season weighting coefficient are multiplied to obtain the weighting coefficient.
3. The method according to claim 2, characterized in that After determining the weighting coefficient according to the current climate information of the environment in which the washing device is located, the method further includes: Obtaining model information of the turbidity sensor; Determining a model weighting coefficient of the turbidity sensor according to the model information of the turbidity sensor; The model weighting coefficient, the weather weighting coefficient, and the season weighting coefficient are multiplied to update the weighting coefficient.
4. The method according to claim 1, characterized in that: The step of determining the self-cleaning program of the washing device according to the comparison result between the current dirtiness value and the actual dirtiness threshold value comprises: Determining a plurality of dirtiness threshold ranges according to the actual dirtiness threshold; The self-cleaning program of the washing device is determined according to the dirtiness threshold range in which the current dirtiness value lies.
5. The method according to claim 4, characterized in that The determining of a plurality of dirtiness threshold ranges according to the actual dirtiness threshold comprises: According to the actual dirtiness threshold, a first dirtiness threshold range and a second dirtiness threshold range are determined, wherein the maximum dirtiness value of the first dirtiness threshold range is the actual dirtiness threshold, and the minimum dirtiness value of the second dirtiness threshold range is the actual dirtiness threshold.
6. The method according to claim 5, characterized in that The step of determining a target cleaning procedure of the washing device according to the dirtiness threshold range in which the current dirtiness value is located includes: If the current dirtiness value is within the first dirtiness threshold range, a sterilization and deodorization program is determined as the target cleaning program; If the current dirtiness value is within the second dirtiness threshold range, the preset self-cleaning program is determined as the target cleaning program.
7. The method according to claim 5, characterized in that The method further comprises: Determine a third dirtiness threshold range according to the actual dirtiness threshold, wherein a minimum dirtiness value of the third dirtiness threshold range is greater than a maximum dirtiness value of the second dirtiness threshold range; If the current dirtiness value is within the third dirtiness threshold range, pushing a maintenance request message to the user; In response to the user's maintenance confirmation instruction, the current dirtiness value and the actual dirtiness threshold are sent to the maintenance terminal.
8. The method according to claim 6, characterized in that The controlling the washing device to execute the target cleaning procedure comprises: If the target cleaning program is the sterilization and deodorization program or the preset self-cleaning program, an execution request message is pushed to the user, wherein the execution request message includes: the target cleaning program, the current dirtiness value, and the actual dirtiness threshold value; In response to an execution instruction from a user, the washing device is controlled to execute the target cleaning program.
9. The method according to claim 1, characterized in that: The method further comprises: Obtaining the model information of the washing device and the number of times the washing device has completed washing; The standard turbidity threshold matching the model of the washing device is determined according to the machine model information and the number of completed washes.
10. A self-cleaning device for washing equipment, characterized in that: The device comprises: The first determination module is used to: Determining a weighting coefficient according to current climate information of the environment in which the washing device is located; Multiplying the weighting coefficient by the standard turbidity threshold of the washing equipment to obtain an actual dirtiness threshold of the washing equipment; A detection module, used to control a turbidity sensor to detect a current dirtiness value of the washing device; The second determination module is used for: Determining a target cleaning procedure of the washing device according to a comparison result of the current dirtiness value and the actual dirtiness threshold value; A control module is used to control the washing device to execute the target cleaning program.
11. A washing equipment self-cleaning device, characterized in that: The device comprises: Memory, processor; The memory is used to store computer programs; The processor is used to execute the computer program stored in the memory to implement the self-cleaning method for a washing device according to any one of claims 1 to 9.
12. A readable storage medium, characterized in that: The readable storage medium stores a computer program; the computer program is used to implement the self-cleaning method for a washing device as claimed in any one of claims 1 to 9.