Control method and device for dish washing machine and intelligent dish washing machine

Abstract

The invention relates to a control method and device for a dish-washing machine and an intelligent dish-washing machine, and the method comprises the steps: determining a cleaning water temperature range and cleaning cost information based on cleaning object information, cleaning object turbidity information and cleaning operation information corresponding to a target cleaning region; the cleaning operation parameters corresponding to the target cleaning area are obtained according to the standard water temperature information and the cleaning cost information, the cleaning operation parameters corresponding to the target cleaning area can be dynamically adjusted in the cleaning process of the target cleaning area of the dish washing machine, the cleaning efficiency is effectively improved, comprehensive energy consumption is reduced, and noise interference is reduced.

Description

Technical Field

[0001] This disclosure relates to the field of smart appliances, and more particularly to a control method, apparatus, and smart dishwasher for a dishwasher. Background Technology

[0002] With the rapid development of technology, traditional lifestyles are gradually changing, and the use of home appliances is becoming increasingly intelligent. Dishwashers are household appliances used to automatically clean tableware, kitchenware, and other items. Through their built-in spray system, heating device, and detergent, dishwashers can efficiently and thoroughly clean tableware and kitchenware. Compared with traditional hand washing, they have many advantages such as saving time and effort, saving water, and providing better disinfection.

[0003] However, existing dishwashers have relatively simple cleaning control methods and relatively fixed washing processes, which can lead to insufficient or excessive cleaning in certain areas. They also cannot balance multiple aspects such as cleaning effect, energy consumption and noise, resulting in a poor user experience. Summary of the Invention

[0004] To address the aforementioned technical problems, this disclosure provides a control method, apparatus, and intelligent dishwasher for dishwashers.

[0005] According to a first aspect of this disclosure, a control method for a dishwasher is provided, the method comprising: Acquire information on the object to be cleaned, the turbidity of the object to be cleaned, and the cleaning operation information corresponding to the target cleaning area. The cleaning operation information includes at least one of the cleaning water temperature, spray pressure, and noise information. Based on the cleaning object information, standard water temperature information is obtained, which is used to indicate the cleaning water temperature range corresponding to the target cleaning area; Based on the cleaning object information, the cleaning object turbidity information, and the cleaning operation information, the cleaning cost information is obtained; Based on the standard water temperature information and the cleaning cost information, the cleaning operation parameters corresponding to the target cleaning area are obtained. The cleaning operation parameters are used to control the dishwasher to clean the objects in the target cleaning area.

[0006] Optionally, the cleaning object information includes at least one material information, the material information being used to indicate the material of the cleaning object, and obtaining the standard water temperature information based on the cleaning object information includes: Based on the at least one material information, at least one water temperature range data is obtained, wherein the water temperature range data is used to indicate the cleaning water temperature range corresponding to the cleaning object; Standard water temperature information is obtained based on the at least one water temperature range data.

[0007] Optionally, obtaining the cleaning cost information based on the cleaning object information, the cleaning object turbidity information, and the cleaning operation information includes: Based on the turbidity information of the object being cleaned, a turbidity state value is obtained, which is used to indicate the overall turbidity level of the object being cleaned in the target cleaning area; Based on the cleaning object information and the cleaning operation information, the operating cost value is obtained, which includes at least one of energy consumption cost value, noise cost value and cross-contamination risk value; Based on the turbidity state value and the operating cost value, cost fusion processing is performed to obtain the cleaning cost information.

[0008] Optionally, the turbidity information of the object being cleaned includes at least one turbidity value of the object being cleaned, and obtaining the turbidity state value based on the turbidity information of the object being cleaned includes: Obtain a target turbidity value, which is used to indicate the turbidity state or cleanliness state of the object after cleaning. Based on the turbidity value of the at least one object to be cleaned and the target turbidity value, at least one turbidity degree value is obtained, wherein the turbidity degree value is used to indicate the turbidity degree of the object to be cleaned; The turbidity state value is obtained based on the at least one turbidity degree value.

[0009] Optionally, obtaining the operating cost based on the cleaning object information and the cleaning operation information includes: Obtain the reference water temperature, maximum water temperature, reference spray pressure, and maximum spray pressure; Based on the cleaning water temperature, the reference water temperature, and the maximum water temperature, the energy consumption cost of water temperature is obtained; The energy consumption cost of spraying is obtained based on the spraying pressure, the reference spraying pressure, and the maximum spraying pressure. The energy consumption value is obtained based on the energy consumption value of water temperature and the energy consumption value of spraying.

[0010] Optionally, obtaining the operating cost based on the cleaning object information and the cleaning operation information includes: Obtain the baseline noise value and the maximum noise value; The noise cost is obtained based on the noise information, the baseline noise value, and the maximum noise value.

[0011] Optionally, the cleaning object information includes at least one material information, which indicates the material of the cleaning object. The step of obtaining the operating cost based on the cleaning object information and the cleaning operation information includes: Based on the at least one material information, at least one water temperature range data is obtained, wherein the water temperature range data is used to indicate the cleaning water temperature range corresponding to the cleaning object; Based on the cleaning water temperature and the at least one water temperature range data, at least one cross-contamination risk sub-value is obtained, and the cross-contamination risk data is used to indicate the cross-contamination risk corresponding to the cleaning object; The cross-contamination risk value is obtained based on the at least one cross-contamination risk sub-value.

[0012] Optionally, the cleaning object information includes at least one material information, which indicates the material corresponding to the cleaning object located in the target cleaning area. Before obtaining the standard water temperature information based on the cleaning object information, the process includes: At least one material identification information is obtained, wherein the material identification information is information obtained by identifying the material of the cleaning object in the target cleaning area, and the material identification information includes at least one material identification data corresponding to the cleaning object; Material identification processing is performed based on the material identification information to obtain the material information corresponding to the cleaning object.

[0013] Optionally, obtaining the cleaning operation parameters corresponding to the target cleaning area based on the standard water temperature information and the cleaning cost information includes: Based on the standard water temperature information and the cleaning cost information, a non-cooperative game process is performed to obtain the cleaning operation parameters corresponding to the target cleaning area.

[0014] According to a second aspect of this disclosure, a control device for a dishwasher is provided, the device comprising: The information acquisition module is used to acquire information about the object to be cleaned, the turbidity information of the object to be cleaned, and the cleaning operation information corresponding to the target cleaning area. The cleaning operation information includes at least one of the cleaning water temperature, spray pressure, and noise information. The water temperature determination module is used to obtain standard water temperature information based on the cleaning object information, and the standard water temperature information is used to indicate the cleaning water temperature range corresponding to the target cleaning area. The cost determination module is used to obtain cleaning cost information based on the cleaning object information, the turbidity information of the cleaning object, and the cleaning operation information; The control and adjustment module is used to obtain the cleaning operation parameters corresponding to the target cleaning area based on the standard water temperature information and the cleaning cost information. The cleaning operation parameters are used to control the dishwasher to clean the objects in the target cleaning area.

[0015] According to a third aspect of this disclosure, a smart dishwasher is provided, characterized in that the smart dishwasher includes at least one cleaning zone, and the smart dishwasher employs the control method described in the above technical solution.

[0016] According to a fourth aspect of this disclosure, an electronic device is provided, characterized in that it includes at least one processor and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor implements the control method as described above by executing the instructions stored in the memory.

[0017] According to a fifth aspect of this disclosure, a computer-readable storage medium is provided, wherein at least one instruction or at least one program is stored therein, the at least one instruction or at least one program being loaded and executed by a processor to implement the control method as described above.

[0018] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure.

[0019] Implementing this disclosure will have the following beneficial effects: This disclosure provides a control method, device, and intelligent dishwasher for a dishwasher. By determining the cleaning water temperature range and cleaning cost information based on the cleaning object information, turbidity information of the cleaning object, and cleaning operation information corresponding to the target cleaning area, the method obtains the cleaning operation parameters corresponding to the target cleaning area based on the standard water temperature information and the cleaning cost information. This allows for dynamic adjustment of the cleaning operation parameters corresponding to the target cleaning area during the cleaning process, effectively improving cleaning efficiency to a cleaning ratio of over 98%, which is 5% to 10% higher than traditional solutions. It also reduces overall energy consumption and noise interference, provides reliable cross-contamination prevention, and lowers the failure rate to below 0.3% when washing mixed materials.

[0020] Other features and aspects of this disclosure will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0021] To more clearly illustrate the technical solutions and advantages in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1A schematic flowchart of a control method for a dishwasher according to an embodiment of the present disclosure is shown; Figure 2 This diagram illustrates a flowchart of the process for determining standard water temperature information according to an embodiment of the present disclosure. Figure 3 This diagram illustrates a flowchart of the process for determining material information according to an embodiment of the present disclosure. Figure 4 This diagram illustrates a process for determining cleaning cost information according to an embodiment of the present disclosure. Figure 5 A schematic diagram of a control device for a dishwasher according to an embodiment of the present disclosure is shown. Detailed Implementation

[0023] The technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0025] Various exemplary embodiments, features, and aspects of this disclosure will now be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of the embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.

[0026] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.

[0027] In this document, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more of a plurality of objects. For example, including at least one or more of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0028] Furthermore, to better illustrate this disclosure, numerous specific details are set forth in the following detailed description. Those skilled in the art will understand that this disclosure can be practiced without certain specific details. In some instances, methods, means, components, and circuits well known to those skilled in the art have not been described in detail in order to highlight the main points of this disclosure.

[0029] This disclosure provides a control method for a dishwasher. The control method for a dishwasher according to this invention can be applied to a dishwasher, a smart terminal, or a backend server, such as the control unit of the dishwasher, or a smart terminal or backend server communicatively connected to the dishwasher. The smart terminal is used to control a range hood or integrated stove. The smart terminal can be a smart appliance control device, a PC, a mobile phone, or a smart wearable device. The smart appliance control device is used to control at least one appliance. The backend server can be a local server or a cloud server. This invention does not limit the scope of the invention. For example, the smart terminal or backend server sends cleaning operation parameters or cleaning operation instructions to the dishwasher, so that the dishwasher performs cleaning according to the cleaning operation parameters. This specification provides method operation steps as shown in the embodiments or flowcharts, but based on conventional or non-inventive labor, more or fewer operation steps may be included. The order of steps listed in the embodiments is merely one of many possible execution orders and does not represent a unique execution order. In actual devices, systems, processors, or server products, the method can be executed sequentially according to the embodiments or drawings, or in parallel (e.g., in a parallel processor or multi-threaded processing environment). Figure 1 This diagram illustrates a flow chart of a control method for a dishwasher according to an embodiment of the present disclosure, as shown below. Figure 1 As shown, the above method includes: Step S101: Obtain the cleaning object information, cleaning object turbidity information, and cleaning operation information corresponding to the target cleaning area. The cleaning operation information includes at least one of the cleaning water temperature, spray pressure, and noise information.

[0030] Specifically, the dishwasher includes a spray system, a heating device, and a cleaning chamber. The cleaning chamber is used to hold the objects to be cleaned. The dishwasher cleans the objects located in the cleaning chamber. The objects to be cleaned may include tableware or kitchen utensils.

[0031] Optionally, the dishwasher's cleaning chamber includes at least one cleaning zone, each of which can be controlled individually. Different cleaning zones can be controlled using the same or different cleaning operating parameters. For example, the dishwasher includes 1-10 cleaning zones, preferably 1-5, such as 2 or 3 cleaning zones.

[0032] Optionally, the dishwasher's cleaning cavity can be selectively divided into cleaning zones. For example, the cleaning cavity may not be divided into cleaning zones, or it may be divided as needed into a desired number of cleaning zones. Optionally, the cleaning cavity includes multiple sub-regions. At least two of these sub-regions can be combined into one cleaning zone. Preferably, at least two adjacent sub-regions can be combined into one cleaning zone. Alternatively, at least one combination of the multiple sub-regions can be provided, and the multiple sub-regions can be combined and divided according to the selected combination.

[0033] The cleaning object information corresponding to the target cleaning area refers to the information of the cleaning objects located within the target cleaning area. This cleaning object information includes at least one of the following: quantity information, material information, and type information. The quantity information indicates the total number of cleaning objects located in the target cleaning area. The material information indicates the preparation material of each cleaning object in the target cleaning area; for example, the material information includes at least one of stainless steel, plastic, ceramic, glass, wood, and bamboo. The type information indicates the usage classification of each cleaning object in the target cleaning area; for example, the type information can be bowl, plate, cup, spoon, pot, or pot lid, etc. The cleaning object information may also include the shape and / or size information of the cleaning objects located in the target cleaning area.

[0034] For example, the objects to be cleaned in the target cleaning area are numbered. The cleaning object information includes the number, material, and type of each cleaning object in the target cleaning area. Specifically, the cleaning object information includes cleaning object item information corresponding to each cleaning object, with one cleaning object item information for each cleaning object. The cleaning object item information includes the number, material, and type of the cleaning object. The cleaning object item information may also include the shape and / or size of the cleaning object.

[0035] The turbidity information of the object being cleaned is used to indicate the degree or state of dirtiness of the object being cleaned at the current moment or in real time. The turbidity information includes the turbidity or cleaning rate of the object being cleaned. For example, the turbidity information is obtained by detecting the object being cleaned in the target cleaning area using a turbidity sensor.

[0036] The cleaning operation information is used to indicate the cleaning operation status of the target cleaning area at the current time or in real time. The cleaning operation information includes at least one of cleaning water temperature, spray pressure and noise information. The cleaning water temperature is the water temperature used in the target cleaning area, the spray pressure is the spray pressure used in the target cleaning area, and the noise information is the noise corresponding to the target cleaning area.

[0037] Optionally, the control method is used to dynamically control the target cleaning area during the cleaning process, and the cleaning operation parameters of the target cleaning area can be adjusted during the cleaning process.

[0038] For example, during the cleaning process of the target cleaning area, the turbidity information and cleaning operation information of the object to be cleaned corresponding to the target cleaning area are periodically acquired, so as to adjust the cleaning operation parameters of the target cleaning area based on the turbidity information and cleaning operation information of the object to be cleaned.

[0039] The adjustment cycle for cleaning operation parameters is 5-60 minutes, such as 10 minutes, 15 minutes, 20 minutes, 30 minutes, or 40 minutes. At each cycle duration, the turbidity information and cleaning operation information of the target cleaning area are acquired, and the cleaning operation parameters of the target cleaning area are determined based on the turbidity information and cleaning operation information of the target cleaning area.

[0040] For the initial cleaning operation parameters of the target cleaning area, the cleaning object information and the initial cleaning object turbidity information corresponding to the target cleaning area can be obtained. The initial cleaning object turbidity information is the initial degree of dirt or initial state of dirt of the cleaning object in the target cleaning area, that is, the degree of dirt or state of dirt of the cleaning object in the target cleaning area before being cleaned by the dishwasher. The corresponding initial cleaning operation parameters are obtained based on the cleaning object information and the initial cleaning object turbidity information.

[0041] Optionally, a mapping relationship between the cleaning object information, the initial cleaning object turbidity information, and the initial cleaning operation parameters is pre-stored, and the initial cleaning operation parameters are obtained based on the cleaning object information, the initial cleaning object turbidity information, and the mapping relationship.

[0042] Step S102: Based on the cleaning object information, standard water temperature information is obtained, which is used to indicate the cleaning water temperature range corresponding to the target cleaning area.

[0043] Specifically, the appropriate cleaning water temperature is not entirely the same for different cleaning objects. Based on the cleaning object information corresponding to the target cleaning area, the standard water temperature information for cleaning the objects in the target cleaning area is determined. Optionally, based on at least one of the material information and type information of the cleaning object within the cleaning water temperature range, the cleaning water temperature range corresponding to the cleaning object is determined. Then, based on the cleaning water temperature range corresponding to each cleaning object in the target cleaning area, the cleaning water temperature range corresponding to the target cleaning area is obtained, and this is used as the standard water temperature information.

[0044] Figure 2 This diagram illustrates a flowchart of determining standard water temperature information according to an embodiment of the present disclosure. The cleaning object information includes at least one material information, which indicates the material of the cleaning object. The step of obtaining standard water temperature information based on the cleaning object information includes: Step S201: Based on the at least one material information, obtain at least one water temperature range data, wherein the water temperature range data is used to indicate the cleaning water temperature range corresponding to the cleaning object.

[0045] Specifically, based on the cleaning object information, the material information corresponding to each cleaning object in the target cleaning area is obtained, and the cleaning water temperature range corresponding to the cleaning object is determined based on the material information corresponding to the cleaning object.

[0046] For example, based on the material information corresponding to the object being cleaned, the maximum water temperature applicable to the object being cleaned is determined. The room temperature or the preset minimum water temperature, as well as the maximum water temperature, are respectively used as the minimum and maximum water temperatures corresponding to the object being cleaned, thereby obtaining the cleaning water temperature range corresponding to the object being cleaned. The room temperature or the preset minimum water temperature is one endpoint of the cleaning water temperature range, and the maximum water temperature is the other endpoint of the cleaning water temperature range.

[0047] Step S202: Obtain standard water temperature information based on the at least one water temperature range data.

[0048] Specifically, standard water temperature information is obtained based on the water temperature range data corresponding to each cleaning object in the target cleaning area. This standard water temperature information is used to indicate the cleaning water temperature range corresponding to the target cleaning area. For example, the overlapping water temperature ranges corresponding to each cleaning object in the target cleaning area are taken as the cleaning water temperature range corresponding to the target cleaning area, thereby ensuring that the cleaning water temperature used in the target cleaning area is suitable for cleaning each cleaning object in the target cleaning area.

[0049] Optionally, the minimum of the maximum water temperatures corresponding to each cleaning object in the target cleaning area is taken as the maximum water temperature corresponding to the target cleaning area, and the room temperature or the preset minimum water temperature is taken as the minimum water temperature corresponding to the target cleaning area. Thus, the cleaning water temperature range corresponding to the target cleaning area is obtained, and this cleaning water temperature range is taken as the standard water temperature information.

[0050] Figure 3 This diagram illustrates a flowchart of determining material information according to an embodiment of the present disclosure. The cleaning object information includes at least one material information, which indicates the material corresponding to the cleaning object located in the target cleaning area. Before obtaining standard water temperature information based on the cleaning object information, the process includes: Step S301: Obtain at least one material identification information. The material identification information is information obtained by identifying the material of the cleaning object in the target cleaning area. The material identification information includes at least one material identification data corresponding to the cleaning object.

[0051] Specifically, the material identification information includes one or more material identification data corresponding to the object being cleaned, which is obtained by detecting and identifying the material of the object being cleaned.

[0052] Step S302: Perform material identification processing based on the material identification information to obtain the material information corresponding to the cleaning object.

[0053] Optionally, the material identification information includes multimodal material identification data, which is infrared spectral identification material data, RFID tag identification material data, or image identification material data. The material identification information includes at least one of infrared spectral identification material data, RFID tag identification material data, or image identification material data.

[0054] For example, the material information corresponding to the object being cleaned is calculated according to the following formula:

[0055] in, Let m be the confidence level of the material being cleaned. The probability that the material of the object to be cleaned is material m, as identified by infrared spectroscopy; The probability that the material of the object to be cleaned is material m as identified by the RFID tag; The probability that the material of the object to be cleaned is material m, as identified by image recognition. , , These are the weighting coefficients, + + =1.

[0056] The material corresponding to the highest confidence level P is selected as the material to be cleaned.

[0057] Step S103: Based on the cleaning object information, the turbidity information of the cleaning object, and the cleaning operation information, obtain the cleaning cost information.

[0058] Specifically, the cleaning cost information is used to indicate the cleaning operation cost corresponding to cleaning the objects in the target cleaning area. The cleaning cost information is the cost of cleaning the objects in the target cleaning area, as well as the cost quantification information corresponding to at least one of the following: cleaning energy consumption cost, cleaning noise cost, and cross-contamination risk.

[0059] Figure 4 This diagram illustrates a flowchart of determining cleaning cost information according to an embodiment of the present disclosure. The step of obtaining the cleaning cost information based on the cleaning object information, the turbidity information of the cleaning object, and the cleaning operation information includes: Step S401: Based on the turbidity information of the object to be cleaned, a turbidity state value is obtained. The turbidity state value is used to indicate the overall turbidity level of the object to be cleaned in the target cleaning area.

[0060] Specifically, the turbidity information of the cleaning object is used to indicate the degree or state of dirtiness of the cleaning object in the target cleaning area at the current moment or in real time. The turbidity information of the cleaning object includes the turbidity or cleaning rate of the cleaning object corresponding to the cleaning object in the target cleaning area. The turbidity information of the cleaning object includes the turbidity value or cleaning rate of the cleaning object corresponding to the cleaning object in the target cleaning area. The turbidity state value is obtained based on the turbidity value or cleaning rate of the cleaning object corresponding to each cleaning object in the target cleaning area.

[0061] The turbidity value or cleaning rate of the object being cleaned is obtained by detecting the object being cleaned using a turbidity sensor, or by identifying the turbidity of the image data corresponding to the object being cleaned.

[0062] Optionally, the turbidity information of the object being cleaned includes at least one turbidity value of the object being cleaned, and obtaining the turbidity state value based on the turbidity information of the object being cleaned includes: Obtain a target turbidity value, which is used to indicate the turbidity state or cleanliness state of the object after cleaning. Based on the turbidity value of the at least one object to be cleaned and the target turbidity value, at least one turbidity degree value is obtained, wherein the turbidity degree value is used to indicate the turbidity degree of the object to be cleaned; The turbidity state value is obtained based on the at least one turbidity degree value.

[0063] In this method, the turbidity level of the object being cleaned can be evaluated using a target turbidity value as a benchmark. In an optional example, the target turbidity value can be the target cleaning rate corresponding to the object being cleaned, which is the cleaning rate corresponding to the object after cleaning. The turbidity value of the object being cleaned can be the measured cleaning rate corresponding to the object being cleaned, which is obtained by detecting the object being cleaned using a turbidity sensor or by identifying the cleaning rate from the image data corresponding to the object being cleaned.

[0064] For example, the turbidity state value is calculated according to the following formula:

[0065] Among them, C clen This is the turbidity state value; Let i be the turbidity value of the i-th cleaning object; The target turbidity value; N represents the number of objects to be cleaned in the target cleaning area.

[0066] In the above formula, Let represent the turbidity level of the i-th object being cleaned.

[0067] Step S402: Based on the cleaning object information and the cleaning operation information, obtain the operating cost value, which includes at least one of energy consumption cost value, noise cost value, and cross-contamination risk value.

[0068] Specifically, the energy consumption cost is used to indicate the energy consumption intensity of the target cleaning area, and is positively correlated with the cleaning intensity of the target cleaning area.

[0069] Optionally, obtaining the operating cost based on the cleaning object information and the cleaning operation information includes: Obtain the reference water temperature, maximum water temperature, reference spray pressure, and maximum spray pressure; Based on the cleaning water temperature, the reference water temperature, and the maximum water temperature, the energy consumption cost of water temperature is obtained; The energy consumption cost of spraying is obtained based on the spraying pressure, the reference spraying pressure, and the maximum spraying pressure. The energy consumption value is obtained based on the energy consumption value of water temperature and the energy consumption value of spraying.

[0070] Specifically, the maximum water temperature value can be a preset parameter corresponding to the target cleaning area, or the maximum water temperature corresponding to the standard water temperature information, that is, the upper limit of the cleaning water temperature range indicated by the standard water temperature information is used as the maximum water temperature value. For example, the energy consumption cost is calculated according to the following formula:

[0071] in, Value in exchange for energy consumption; The cleaning water temperature for the target cleaning area; The reference water temperature; This is the maximum water temperature value; The spray pressure for the target cleaning area; The reference spray pressure; Maximum spray pressure; , This is an adjustable coefficient.

[0072] In the above formula, The value of water temperature energy consumption This represents the energy consumption of the spray system.

[0073] Specifically, the noise value is used to indicate the noise level of the target cleaning area. In an optional example, the noise information is based on the measured noise value of the dishwasher as a whole or the measured noise value of the target cleaning area.

[0074] Specifically, obtaining the operating cost based on the cleaning object information and the cleaning operation information includes: Obtain the baseline noise value and the maximum noise value; The noise cost is obtained based on the noise information, the baseline noise value, and the maximum noise value.

[0075] Neither the baseline noise value nor the maximum noise value is preset. For example, the noise cost is calculated using the following formula:

[0076] in, Paying for noise with value; Noise information; This is the baseline noise value; This represents the maximum noise level. This is an adjustable coefficient.

[0077] The cross-contamination risk value is used to indicate the overall risk of cross-contamination between different cleaning objects in the target cleaning area.

[0078] Optionally, the cleaning object information includes at least one material information, which indicates the material of the cleaning object. The step of obtaining the operating cost based on the cleaning object information and the cleaning operation information includes: Based on the at least one material information, at least one water temperature range data is obtained, wherein the water temperature range data is used to indicate the cleaning water temperature range corresponding to the cleaning object; Based on the cleaning water temperature and the at least one water temperature range data, at least one cross-contamination risk sub-value is obtained, and the cross-contamination risk data is used to indicate the cross-contamination risk corresponding to the cleaning object; The cross-contamination risk value is obtained based on the at least one cross-contamination risk sub-value.

[0079] The cleaning water temperature range corresponding to the object being cleaned is the applicable cleaning water temperature range for that object. The cross-contamination risk sub-value is used to indicate the cross-contamination risk corresponding to the object being cleaned, characterizing the risk that the object being cleaned will contaminate other objects being cleaned. Optionally, the cross-contamination risk sub-value is obtained based on the maximum water temperature value of the cleaning water temperature range corresponding to the object being cleaned and the cleaning water temperature.

[0080] For example, the cross-contamination risk value is calculated according to the following formula:

[0081] in, This represents the risk value for cross-contamination. The cleaning water temperature for the target cleaning area; Indicates the material of the j-th object to be cleaned within the target cleaning area; The maximum water temperature value corresponding to the j-th cleaning object in the target cleaning area; N represents the number of objects to be cleaned in the target cleaning area; This is an adjustable coefficient.

[0082] Step S403: Based on the turbidity state value and the operating cost value, perform cost fusion processing to obtain the cleaning cost information.

[0083] Specifically, the cleaning cost information is obtained based on the turbidity state value, as well as at least one of the energy consumption cost value, noise cost value, and cross-contamination risk value. The cleaning cost information is used to comprehensively evaluate multiple factors in the cleaning process of the target cleaning area.

[0084] For example, the cleaning cost information is calculated according to the following formula:

[0085] in, Information regarding the cost of cleaning; , , , To dynamically adjust the weighting coefficients.

[0086] in, , , , Adjustments can be made during the cleaning process of the target cleaning area. Specifically, adjustments can be made through a reinforcement learning algorithm. The reinforcement learning algorithm adopts Q-learning, with the state space consisting of turbidity state value, energy consumption cost value, noise cost value, and cross-contamination risk value, and the action space consisting of the adjustment range of water temperature, spray pressure, and washing time.

[0087] Step S104: Based on the standard water temperature information and the cleaning cost information, the cleaning operation parameters corresponding to the target cleaning area are obtained. The cleaning operation parameters are used to control the dishwasher to clean the objects in the target cleaning area.

[0088] Specifically, based on the standard water temperature information and the cleaning cost information, cleaning operation parameters corresponding to the target cleaning area are obtained, and these cleaning operation parameters minimize the cleaning cost information. These cleaning operation parameters include the cleaning water temperature T and the spray pressure P; optionally, the cleaning operation parameters also include the cleaning duration t.

[0089] In an optional example, obtaining the cleaning operation parameters corresponding to the target cleaning area based on the standard water temperature information and the cleaning cost information includes: Based on the standard water temperature information and the cleaning cost information, a non-cooperative game process is performed to obtain the cleaning operation parameters corresponding to the target cleaning area.

[0090] For example, the non-cooperative game processing is carried out using a non-cooperative game model. The non-cooperative game model uses the cleaning water temperature T, spray pressure P, and cleaning time t as game strategies, and determines the optimal parameter combination by solving the following constraints:

[0091] in, The range of values ​​for the cleaning water temperature T is given. , These are the minimum and maximum values ​​corresponding to the cleaning water temperature T, respectively; Let P be the range of values ​​for the spray pressure. , These represent the minimum and maximum values ​​corresponding to the spray pressure P, respectively. Let t be the range of values ​​for the cleaning duration. , These represent the minimum and maximum values ​​corresponding to the cleaning duration t, respectively.

[0092] Therefore, the cleaning water temperature T, spray pressure P, and cleaning time t are obtained through non-cooperative game theory, making... The minimum value is used, and the cleaning water temperature T, spray pressure P, and cleaning time t are the corresponding cleaning water temperature T, spray pressure P, and cleaning time t for the target cleaning area.

[0093] Those skilled in the art will understand that, in the above-described method of the specific implementation, the order in which the steps are written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0094] It is understood that the various method embodiments mentioned above in this disclosure can be combined with each other to form combined embodiments without violating the principle and logic. Due to space limitations, this disclosure will not elaborate further.

[0095] According to an embodiment of this disclosure for simulating a multi-material mixed washing scenario, in this embodiment: Material identification: Infrared spectroscopy identification of ceramic bowls (95% confidence level), RFID tag identification of plastic spoons (98% confidence level), and image recognition of stainless steel pots (97% confidence level). Cost calculation: The initial turbidity was low; High-temperature energy consumption costs; Low noise requirement; The risk of zone control is low; Game Theory Optimization: Ceramic Zone: Cleaning water temperature 75℃, spray pressure 0.3MPa, cleaning time 20min; Plastic area: Cleaning water temperature 60℃, spray pressure 0.2MPa, cleaning time 25min; Stainless steel area: Cleaning water temperature 80℃, spray pressure 0.4MPa, cleaning time 18min; Dynamically adjustable cleaning effect: cleaning ratio of 98.5%, energy consumption reduced by 18%, noise level of 52dB, and risk of cross-contamination of 0.3%.

[0096] According to one embodiment of this disclosure for heavy oil spill scenarios, in this embodiment: Oil stain detection: The turbidity sensor detects an initial turbidity of 1500 NTU, triggering the "deep cleaning mode"; Cost calculation: The cost of high turbidity; High temperature and high pressure energy consumption; Moderate noise is permissible; The risk of zone control is low; Game theory optimization: cleaning water temperature 82℃, spray pressure 0.5MPa, cleaning time 30min; Dynamically adjustable cleaning effect: cleaning ratio of 99.2%, energy consumption reduced by 12%, noise level of 58dB, and risk of cross-contamination of 0.2%.

[0097] Figure 5 A block diagram of a control device for a dishwasher according to an embodiment of the present disclosure is shown; as follows: Figure 5 As shown, the above-mentioned device includes: The information acquisition module is used to acquire information about the object to be cleaned, the turbidity information of the object to be cleaned, and the cleaning operation information corresponding to the target cleaning area. The cleaning operation information includes at least one of the cleaning water temperature, spray pressure, and noise information. The water temperature determination module is used to obtain standard water temperature information based on the cleaning object information, and the standard water temperature information is used to indicate the cleaning water temperature range corresponding to the target cleaning area. The cost determination module is used to obtain cleaning cost information based on the cleaning object information, the turbidity information of the cleaning object, and the cleaning operation information; The control and adjustment module is used to obtain the cleaning operation parameters corresponding to the target cleaning area based on the standard water temperature information and the cleaning cost information. The cleaning operation parameters are used to control the dishwasher to clean the objects in the target cleaning area.

[0098] In some embodiments, the functions or modules of the apparatus provided in this disclosure can be used to execute the control method described in the above embodiments. The specific implementation can be referred to the description in the above embodiments, and for the sake of brevity, it will not be repeated here.

[0099] This disclosure also proposes an intelligent dishwasher, characterized in that the intelligent dishwasher includes at least one cleaning area, and the intelligent dishwasher employs the control method described in the above technical solution.

[0100] Optionally, the smart dishwasher includes 1-10 cleaning zones, preferably 1-5 cleaning zones, such as 2 or 3 cleaning zones.

[0101] This disclosure also proposes a computer-readable storage medium storing at least one instruction or at least one program segment, which, when loaded and executed by a processor, implements the aforementioned method. The computer-readable storage medium may be a non-volatile computer-readable storage medium.

[0102] This disclosure also proposes an electronic device, including: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured for the control method described above.

[0103] Electronic devices can be provided as terminals, servers, or other forms of devices.

[0104] Electronic devices can be mobile phones, computers, messaging devices, tablets, personal digital assistants, and other terminals.

[0105] Electronic devices may include one or more of the following components: processing components, memory, power supply components, input / output (I / O) interfaces, and communication components.

[0106] Processing components typically control the overall operation of an electronic device, such as operations associated with data communication and recording. A processing component may include one or more processors to execute instructions to complete all or part of the steps described above. Furthermore, a processing component may include one or more modules to facilitate interaction between the processing component and other components.

[0107] Memory is configured to store various types of data to support the operation of electronic devices. Examples of this data include instructions for any application or method used to operate on an electronic device. Memory can be implemented using any type of volatile or non-volatile storage device or a combination thereof.

[0108] Power supply components provide power to various components of electronic devices. Power supply components may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic devices.

[0109] I / O interfaces provide interfaces between processing components and peripheral interface modules, such as keyboards, click wheels, buttons, etc.

[0110] The communication component is configured to facilitate wired or wireless communication between electronic devices and other devices. The electronic device can access a wireless network based on a communication standard. In one exemplary embodiment, the communication component includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID), infrared data association (IRA) technology, ultra-wideband (UWB) technology, Bluetooth technology, and other technologies.

[0111] In an exemplary embodiment, the electronic device may be implemented by one or more application-specific integrated circuits, digital signal processors, digital signal processing devices, programmable logic devices, field-programmable gate arrays, controllers, microcontrollers, microprocessors, or other electronic components to perform the control method described above.

[0112] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A control method for a dishwasher, characterized in that, The method includes: Acquire information on the object to be cleaned, the turbidity of the object to be cleaned, and the cleaning operation information corresponding to the target cleaning area. The cleaning operation information includes at least one of the cleaning water temperature, spray pressure, and noise information. Based on the cleaning object information, standard water temperature information is obtained, which is used to indicate the cleaning water temperature range corresponding to the target cleaning area; Based on the cleaning object information, the cleaning object turbidity information, and the cleaning operation information, the cleaning cost information is obtained; Based on the standard water temperature information and the cleaning cost information, the cleaning operation parameters corresponding to the target cleaning area are obtained. The cleaning operation parameters are used to control the dishwasher to clean the objects in the target cleaning area.

2. The method according to claim 1, characterized in that, The cleaning object information includes at least one material information, which indicates the material of the cleaning object. Obtaining the standard water temperature information based on the cleaning object information includes: Based on the at least one material information, at least one water temperature range data is obtained, wherein the water temperature range data is used to indicate the cleaning water temperature range corresponding to the cleaning object; Standard water temperature information is obtained based on the at least one water temperature range data.

3. The method according to claim 1 or 2, characterized in that, The step of obtaining cleaning cost information based on the cleaning object information, the cleaning object turbidity information, and the cleaning operation information includes: Based on the turbidity information of the object being cleaned, a turbidity state value is obtained, which is used to indicate the overall turbidity level of the object being cleaned in the target cleaning area; Based on the cleaning object information and the cleaning operation information, the operating cost value is obtained, which includes at least one of energy consumption cost value, noise cost value and cross-contamination risk value; Based on the turbidity state value and the operating cost value, cost fusion processing is performed to obtain the cleaning cost information.

4. The method according to claim 3, characterized in that, The turbidity information of the object being cleaned includes at least one turbidity value of the object being cleaned. The step of obtaining a turbidity state value based on the turbidity information of the object being cleaned includes: Obtain a target turbidity value, which is used to indicate the turbidity state or cleanliness state of the object after cleaning. Based on the turbidity value of the at least one object to be cleaned and the target turbidity value, at least one turbidity degree value is obtained, wherein the turbidity degree value is used to indicate the turbidity degree of the object to be cleaned; The turbidity state value is obtained based on the at least one turbidity degree value.

5. The method according to claim 3 or 4, characterized in that, The step of obtaining the operating cost based on the cleaning object information and the cleaning operation information includes: Obtain the reference water temperature, maximum water temperature, reference spray pressure, and maximum spray pressure; Based on the cleaning water temperature, the reference water temperature, and the maximum water temperature, the energy consumption cost of water temperature is obtained; The energy consumption cost of spraying is obtained based on the spraying pressure, the reference spraying pressure, and the maximum spraying pressure. The energy consumption value is obtained based on the energy consumption value of water temperature and the energy consumption value of spraying.

6. The method according to claim 3 or 4, characterized in that, The step of obtaining the operating cost based on the cleaning object information and the cleaning operation information includes: Obtain the baseline noise value and the maximum noise value; The noise cost is obtained based on the noise information, the baseline noise value, and the maximum noise value.

7. The method according to claim 3 or 4, characterized in that, The cleaning object information includes at least one material information, which indicates the material of the cleaning object. The step of obtaining the operating cost based on the cleaning object information and the cleaning operation information includes: Based on the at least one material information, at least one water temperature range data is obtained, wherein the water temperature range data is used to indicate the cleaning water temperature range corresponding to the cleaning object; Based on the cleaning water temperature and the at least one water temperature range data, at least one cross-contamination risk sub-value is obtained, and the cross-contamination risk data is used to indicate the cross-contamination risk corresponding to the cleaning object; The cross-contamination risk value is obtained based on the at least one cross-contamination risk sub-value.

8. The method according to claim 1, characterized in that, The cleaning object information includes at least one material information, which indicates the material corresponding to the cleaning object located in the target cleaning area. Before obtaining the standard water temperature information based on the cleaning object information, the process includes: At least one material identification information is obtained, wherein the material identification information is information obtained by identifying the material of the cleaning object in the target cleaning area, and the material identification information includes at least one material identification data corresponding to the cleaning object; Material identification processing is performed based on the material identification information to obtain the material information corresponding to the cleaning object.

9. The method according to claim 1, characterized in that, The step of obtaining the cleaning operation parameters corresponding to the target cleaning area based on the standard water temperature information and the cleaning cost information includes: Based on the standard water temperature information and the cleaning cost information, a non-cooperative game process is performed to obtain the cleaning operation parameters corresponding to the target cleaning area.

10. A control device for a dishwasher, characterized in that, The device includes: The information acquisition module is used to acquire information about the object to be cleaned, the turbidity information of the object to be cleaned, and the cleaning operation information corresponding to the target cleaning area. The cleaning operation information includes at least one of the cleaning water temperature, spray pressure, and noise information. The water temperature determination module is used to obtain standard water temperature information based on the cleaning object information, and the standard water temperature information is used to indicate the cleaning water temperature range corresponding to the target cleaning area. The cost determination module is used to obtain cleaning cost information based on the cleaning object information, the turbidity information of the cleaning object, and the cleaning operation information; The control and adjustment module is used to obtain the cleaning operation parameters corresponding to the target cleaning area based on the standard water temperature information and the cleaning cost information. The cleaning operation parameters are used to control the dishwasher to clean the objects in the target cleaning area.

11. A smart dishwasher, characterized in that, The intelligent dishwasher includes at least one cleaning zone, and the intelligent dishwasher employs the control method as described in any one of claims 1-9.

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