Washing parameter determination method and device, medium and equipment

Abstract

The embodiment of the invention provides a washing parameter determination method and device, a medium and equipment, and the method comprises the steps: carrying out the weight value estimation of to-be-washed clothes in a washing machine before a washing program is operated, and obtaining the estimated initial weight value of the to-be-washed clothes; predicting the current clothes full-load state of the washing machine according to the initial weight value; if the clothes full-load state is a non-full-load state, the washing machine is controlled to execute a fixed-water-level water inlet instruction and a non-water-supplement washing instruction in sequence, and corresponding first water level change values before and after the washing machine executes the non-water-supplement washing instruction are obtained; according to the first water level change value, further predicting that the current clothes full-load state of the washing machine is a first non-full-load state or a second non-full-load state; and determining washing parameters corresponding to the to-be-washed clothes according to the current clothes full-load state so as to drive the washing machine to run a washing program to wash the to-be-washed clothes. According to the method and the device, the washing parameters can be determined more accurately, so that errors possibly caused by determining the washing parameters depending on a fuzzy weighing function are reduced.

Description

Technical Field

[0001] The present application relates to the field of smart home appliance technology, and in particular to the field of washing parameter determination technology, and in particular to a washing parameter determination method, device, medium and equipment. Background Art

[0002] In order to improve the automation level of washing machines, equipment manufacturers usually add fuzzy weighing functions to washing machines. Fuzzy weighing means that before the washing program starts, the washing machine can automatically estimate the weight of the clothes put into the washing machine, so as to intelligently judge the washing parameters such as the amount of water and washing intensity currently required by the washing machine based on the estimated weight. At present, the implementation of most fuzzy weighing functions is mainly based on the current value of the drum motor when it is running. However, due to the certain estimation error of fuzzy weighing, especially when the load (such as clothes to be washed) is small or unevenly distributed, the estimation error will be very obvious. A large estimation error will cause the washing machine to execute the wrong control logic, thus affecting the washing effect. Summary of the invention

[0003] The present application provides a method, device, medium and equipment for determining washing parameters. The method for determining washing parameters provided by the present application solves the problem that the current washing machine has misjudgment due to fuzzy weighing function, resulting in low accuracy in determining washing parameters.

[0004] An embodiment of the present application provides a method for determining washing parameters, including:

[0005] Before the washing program is run, the weight of the laundry placed in the washing machine is estimated to obtain an estimated initial weight of the laundry;

[0006] Predicting a current laundry full load state of the washing machine according to the initial weight value, wherein the laundry full load state includes any one of full load, a first non-full load and a second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load;

[0007] If the laundry full load state is not full load, the washing machine is controlled to execute the fixed water level water inlet instruction and the non-water replenishment washing instruction in sequence, and the first water level change value corresponding to the washing machine before and after the non-water replenishment washing instruction is obtained;

[0008] Further predicting, according to the first water level change value, that the current laundry full load state of the washing machine is the first non-full load or the second non-full load;

[0009] According to the current full-load state of the clothes, washing parameters corresponding to the clothes to be washed are determined to drive the washing machine to run a washing program to wash the clothes to be washed.

[0010] In the washing parameter determination method described in the embodiment of the present application, estimating the weight of the laundry placed in the washing machine to obtain the estimated initial weight of the laundry includes:

[0011] Controlling the start-up of the drum motor of the washing machine, and detecting the target current value corresponding to the drum motor during the rotation process;

[0012] Determining a target weight value corresponding to the target current value according to a pre-created mapping relationship between the current value and the weight value;

[0013] The target weight value is used as the estimated initial weight value of the laundry.

[0014] In the washing parameter determination method described in the embodiment of the present application, predicting the current laundry full load state of the washing machine according to the initial weight value includes:

[0015] comparing the initial weight value with a preset first weight threshold;

[0016] If the initial weight value is greater than the first weight threshold, the prediction result of the current full load state of the washing machine is full load;

[0017] If the initial weight value is less than or equal to the first weight threshold, the prediction result of the current laundry full load state of the washing machine is the first non-full load or the second non-full load.

[0018] In the washing parameter determination method described in the embodiment of the present application, the controlling the washing machine to successively execute the fixed water level water inlet instruction and the non-water replenishment washing instruction includes:

[0019] Execute the fixed water level water inlet instruction to control the water inlet of the washing machine until the current water level is greater than a preset first water level threshold, and then stop the water inlet of the washing machine;

[0020] Execute a non-water-replenishing washing instruction, control the drum motor of the washing machine to start, and maintain a first preset time length.

[0021] In the washing parameter determination method described in the embodiment of the present application, further predicting, based on the first water level change value, that the current laundry full load state of the washing machine is the first non-full load or the second non-full load, includes:

[0022] If the first water level change value is less than or equal to a preset first threshold value, the prediction result of the current full load state of the washing machine is a first non-full load;

[0023] If the first water level change value is greater than the first threshold value, the washing machine is controlled again to successively execute the fixed water level water inlet instruction and the non-water replenishment washing instruction, and the second water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction is obtained;

[0024] If the second water level change value is less than or equal to a preset second threshold value, the prediction result of the current full load state of the washing machine is a second non-full load.

[0025] In the washing parameter determination method described in the embodiment of the present application, after obtaining the second water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction, the method further includes:

[0026] If the second water level change value is less than or equal to the second threshold value, the prediction result of the current full load state of the washing machine is full load.

[0027] In the method for determining washing parameters described in the embodiment of the present application, after determining the washing parameters corresponding to the current full-load state of the clothes and before determining the washing parameters corresponding to the full-load state of the clothes, the method further includes:

[0028] In response to the clothing material identification operation for the laundry, estimating the weight value of the laundry when the current water level does not exceed a preset second water level threshold, to obtain the water content weight value of the laundry;

[0029] Determining the weight value of water absorbed by the laundry according to the initial weight value and the water content weight value;

[0030] Determining a target clothing material of the laundry according to the moisture weight value and the current full load state of the laundry;

[0031] The determining of washing parameters corresponding to the laundry includes:

[0032] The washing parameters corresponding to the laundry are determined according to the target laundry material and the current laundry full load state.

[0033] Correspondingly, another aspect of the embodiment of the present application further provides a washing parameter determination device, which is applied to a washing machine, and the washing parameter determination device includes:

[0034] A weight estimation module, used for estimating the weight of the laundry placed in the washing machine before the washing program is run, to obtain an estimated initial weight value of the laundry;

[0035] a first prediction module, configured to predict a current laundry full load state of the washing machine according to the initial weight value, wherein the laundry full load state includes any one of a full load, a first non-full load, and a second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load;

[0036] an instruction control module, for controlling the washing machine to successively execute a fixed water level water inlet instruction and a non-water replenishment washing instruction if the clothes are in a non-full load state, and obtaining a first water level change value corresponding to before and after the washing machine executes the non-water replenishment washing instruction;

[0037] a second prediction module, configured to further predict, based on the first water level change value, whether the current laundry full load state of the washing machine is the first non-full load or the second non-full load;

[0038] The parameter determination module is used to determine the washing parameters corresponding to the laundry according to the current full-load state of the laundry, so as to drive the washing machine to run a washing program to wash the laundry.

[0039] Correspondingly, another aspect of the embodiment of the present application further provides a storage medium, wherein the storage medium stores a plurality of instructions, and the instructions are suitable for loading by a processor to execute the washing parameter determination method as described above.

[0040] Correspondingly, another aspect of an embodiment of the present application further provides an electronic device, including a processor and a memory, wherein the memory stores a plurality of instructions, and the processor loads the instructions to execute the washing parameter determination method as described above.

[0041] The embodiments of the present application provide a washing parameter determination method, device, medium and equipment, wherein the method estimates the weight of the laundry placed in the washing machine before the washing program is run to obtain an estimated initial weight value of the laundry; predicts the current laundry full load state of the washing machine according to the initial weight value, wherein the laundry full load state includes any one of full load, first non-full load and second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load; if the laundry full load state is non-full load, the washing machine is controlled to execute a fixed water level water inlet instruction and a non-water replenishment washing instruction in sequence, and obtains a first water level change value corresponding to the washing machine before and after the non-water replenishment washing instruction is executed; according to the first water level change value, further predicts that the current laundry full load state of the washing machine is the first non-full load or the second non-full load; and determines the washing parameters corresponding to the laundry according to the current laundry full load state, so as to drive the washing machine to run the washing program to wash the laundry. By using the washing parameter determination method provided in the embodiment of the present application, when the fuzzy weighing function is used to determine that the washing machine is not currently fully loaded, the overall water absorption capacity of the current laundry can be analyzed to more accurately determine the current full load state of the laundry. This helps to determine the washing parameters required for the current laundry in the washing machine, thereby reducing the errors that may be caused by relying on the fuzzy weighing function to determine the washing parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application, and those skilled in the art can obtain other drawings based on these drawings without creative work.

[0043] Figure 1 A schematic flow chart of a method for determining washing parameters provided in an embodiment of the present application.

[0044] Figure 2 Another schematic diagram of the flow chart of the method for determining washing parameters provided in an embodiment of the present application.

[0045] Figure 3 Another schematic diagram of the flow chart of the method for determining washing parameters provided in an embodiment of the present application.

[0046] Figure 4 Another schematic diagram of the flow chart of the method for determining washing parameters provided in an embodiment of the present application.

[0047] Figure 5 Another schematic diagram of the flow chart of the method for determining washing parameters provided in an embodiment of the present application.

[0048] Figure 6 A schematic diagram of the structure of a washing parameter determination device provided in an embodiment of the present application.

[0049] Figure 7 Another structural schematic diagram of the washing parameter determination device provided in an embodiment of the present application.

[0050] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0052] The embodiment of the present application provides a method for determining washing parameters. By using this method, when the fuzzy weighing function is used to determine that the washing machine is not currently fully loaded, the overall water absorption capacity of the current laundry can be analyzed to more accurately determine the current full load state of the washing machine, which helps to determine the washing parameters required for the current laundry in the washing machine, thereby reducing the errors that may be caused by relying on the fuzzy weighing function to determine the washing parameters.

[0053] The term "and / or" in this application can be a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this application generally indicates that the associated objects before and after are in an "or" relationship.

[0054] The terms "first", "second", etc. in the specification and claims of this application 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 data used in this way can be interchanged where appropriate, so that the embodiments described here can be implemented in an order other than that illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or washing machine that includes a series of steps or modules is not necessarily limited to the steps or modules clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or washing machines. The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The process steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved. The division of modules in this application is a logical division. There may be other division methods when it is implemented in actual applications. For example, multiple modules 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 can be through some interfaces, and the indirect coupling or communication connection between modules can be electrical or other similar forms, which are not limited in this application. In addition, the modules or submodules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed in multiple circuit modules, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present application.

[0055] The washing parameter determination method involved in the embodiment of the present application is mainly applied to electronic devices, which may be washing machines, smart phones, tablet computers, laptop computers, desktop computers, smart home appliances and servers, etc., which are not limited here. Optionally, the server may be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or an IoT cloud (Internet of Things cloud) that provides the ability to store, process and manage data generated by an IoT washing machine, or a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), and basic cloud computing services such as big data and artificial intelligence platforms, which are not limited here.

[0056] For ease of understanding, the specific process in the embodiments of the present application is described below. Figure 1-2 , Figure 1A schematic flow chart of an embodiment of a method for determining washing parameters provided in an embodiment of the present application. Figure 2 A schematic flow chart of another embodiment of the method for determining washing parameters provided in an embodiment of the present application.

[0057] exist Figure 1 In the illustrated embodiment, taking the washing parameter determination device integrated in a washing machine as an example, the method may include the following steps:

[0058] S101, before a washing program is run, estimating the weight of laundry put into the washing machine to obtain an estimated initial weight of the laundry.

[0059] It should be noted that this solution is an improvement based on the fuzzy weighing function of the washing machine. Therefore, before using the washing parameter determination method provided in this application to determine the washing parameters, it is necessary to first activate the fuzzy weighing function of the washing machine and activate it before running the washing program of the washing machine.

[0060] In this embodiment, the weight of the laundry put into the washing machine is estimated by running the fuzzy weighing function to obtain the estimated initial weight value of the laundry.

[0061] Among them, the initial weight value of the laundry refers to the estimated weight value of the laundry in a water-free state. Considering that the laundry may have a certain amount of moisture before being put into the washing machine, in order to avoid or reduce the influence of moisture on the subsequent determination of washing parameters, in some embodiments, before running the fuzzy weighing function, it is possible to detect whether the current water level of the washing machine exceeds the preset second water level threshold WL0, and if it exceeds, the drain valve of the washing machine is automatically opened to drain water, and then the current water level of the washing machine is repeatedly detected and judged until the water level does not exceed the second water level threshold WL0. At this time, it is considered that the laundry meets the conditions for weight estimation, and the drain valve can be closed, and the fuzzy weighing function is run to estimate the weight of the laundry.

[0062] In some embodiments, the step of estimating the weight of the laundry placed in the washing machine to obtain the estimated initial weight of the laundry specifically includes:

[0063] Controlling the start-up of the drum motor of the washing machine, and detecting the target current value corresponding to the drum motor during the rotation process;

[0064] Determining a target weight value corresponding to the target current value according to a pre-created mapping relationship between the current value and the weight value;

[0065] The target weight value is used as the estimated initial weight value of the laundry.

[0066] In a specific application scenario, a mapping relationship between current value and weight value can be created in advance, for example: a current value of 0.5A corresponds to a weight of 1 kg of clothes; a current value of 1.0A corresponds to a weight of 2 kg of clothes; a current value of 1.5A corresponds to a weight of 3 kg of clothes. When the motor is started, the control system will start to measure the current value. If the target current value of the drum motor is detected to be 0.5A when it is running, then according to the pre-created mapping relationship, it can be estimated that the initial weight of the laundry in the washing machine is 1 kg.

[0067] Step 102, predicting the current laundry full load state of the washing machine based on the initial weight value, wherein the laundry full load state includes any one of full load, a first non-full load and a second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load.

[0068] In this embodiment, the laundry full load state includes any one of full load, first non-full load and second non-full load. Among them, full load means that the overall weight of the laundry to be washed has reached the maximum limit that the washing machine can bear during operation. The first non-full load and the second non-full load are relative to the full load, that is, the overall weight of the laundry to be washed has not reached the maximum limit that the washing machine can bear during operation. The non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load. For example, the laundry state of the washing machine when the weight of the laundry to be washed reaches 25% of the full load (i.e. 1 / 4 load) is defined as the first non-full load state, and the laundry state of the washing machine when the weight of the laundry to be washed reaches 50% of the full load (i.e. half load) is defined as the second non-full load state.

[0069] In some embodiments, the step of predicting the current laundry full load state of the washing machine according to the initial weight value specifically includes:

[0070] comparing the initial weight value with a preset first weight threshold;

[0071] If the initial weight value is greater than the first weight threshold, the prediction result of the current full load state of the washing machine is full load;

[0072] If the initial weight value is less than or equal to the first weight threshold, the prediction result of the current laundry full load state of the washing machine is the first non-full load or the second non-full load.

[0073] Step 103, if the laundry load state is not full load, control the washing machine to execute the fixed water level water inlet instruction and the non-water replenishment washing instruction in sequence, and obtain the first water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction.

[0074] Since the washing parameters set for the washing machine are different at different non-full load levels, when it is determined that the current full load state of the washing machine is non-full load, it is necessary to further determine the degree of non-full load.

[0075] In this embodiment, by controlling the washing machine to successively execute the fixed water level water inlet instruction and the non-water replenishment washing instruction, and obtaining the first water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction, the overall water absorption capacity of the laundry can be analyzed according to the first water level change value, and this can be used as a basis for further judging the full load state of the laundry.

[0076] In some embodiments, Figure 3 As shown, the steps of controlling the washing machine to successively execute the fixed water level water inlet instruction and the non-water replenishment washing instruction specifically include:

[0077] Execute the fixed water level water inlet instruction to control the water inlet of the washing machine until the current water level is greater than the preset first water level threshold WLX, and stop the water inlet of the washing machine;

[0078] Execute a non-water-replenishing washing instruction, control the drum motor of the washing machine to start, and maintain the first preset time length TX.

[0079] In this embodiment, the water inlet action under the fixed water level inlet instruction is controlled by the water level height. In order to ensure the accuracy of water level detection, the drum motor will be in a stationary state. When the water level is greater than the preset first water level threshold WLX, the washing machine stops filling with water and executes the non-water replenishment washing instruction.

[0080] The drum motor under the non-water replenishment washing instruction will rotate left and right according to a certain speed and rotation-stop ratio. For example, it will rotate at 50 rpm for 8 seconds and stop for 8 seconds, then immediately rotate forward at 50 rpm for 8 seconds, stop for 8 seconds, rotate forward for 8 seconds, stop for 8 seconds, and rotate forward for 8 seconds, and so on.

[0081] If it is detected that the washing time reaches the first preset time TX, the rotation of the drum motor is stopped, and the first water level change value corresponding to the washing machine before and after the non-water replenishment washing instruction is executed is obtained. For example, the water level of the washing machine before the non-water replenishment washing instruction is WL11, and the water level of the washing machine after the non-water replenishment washing instruction is WL12, and the first water level change value is WL11-WL12. Since the laundry absorbs water during the rotation process, the water level drops, so in general, WL12 is greater than WL11.

[0082] In some embodiments, Figure 2 As shown, if the clothes are fully loaded, the washing machine is controlled to execute the timed water inlet instruction and the water replenishment washing instruction in sequence, so that the clothes to be washed can be fully in contact with water, which is helpful for the subsequent normal washing process or the clothing material judgment process.

[0083] In this embodiment, the water inlet action under the timed water inlet instruction is controlled by time. In order to save the total washing time, the drum motor will be controlled to rotate unidirectionally while the water is inletting. When the drum motor runs for the specified time TX, the water replenishment washing instruction will be executed.

[0084] The drum motor under the water replenishment and washing command will rotate left and right according to a certain speed and start-stop ratio. For example, it will rotate at 50 speed for 8 seconds and stop for 8 seconds, then immediately rotate forward at 50 speed for 8 seconds, stop for 8 seconds, rotate forward for 8 seconds, stop for 8 seconds, and rotate forward for 8 seconds, and repeat this cycle.

[0085] The water level can be judged only after the drum motor has been stationary for 2 seconds to prevent inaccurate water level detection during the rotation process and when the drum motor has just stopped.

[0086] If the detected water level is lower than the first water level threshold WLX, the washing machine is controlled to allow water to enter, otherwise the washing machine is stopped from allowing water to enter.

[0087] If it is detected that the drum motor reaches the set value TX, the washing machine will stop adding water after a delay of 2 seconds (to prevent frequent water replenishment when the water level reaches the critical value) so that the laundry can fully contact with the water.

[0088] Step 104: further predicting, based on the first water level change value, that the current laundry load state of the washing machine is the first non-full load or the second non-full load.

[0089] In this embodiment, the overall water absorption capacity of the laundry can be analyzed according to the first water level change value, and thereby further predicting whether the current laundry load state of the washing machine is the first non-full load or the second non-full load.

[0090] In some embodiments, Figure 2 As shown, the step of further predicting, based on the first water level change value, that the current laundry full load state of the washing machine is the first non-full load or the second non-full load specifically includes:

[0091] If the first water level change value (WL11-WL12) is less than or equal to the preset first threshold value WLA, it means that the overall water absorption capacity of the laundry is relatively weak at this time. This may be because the amount of laundry is relatively small, resulting in a relatively small first water level change value after the fixed water level water inlet instruction and the non-water replenishment washing instruction. The prediction result of the current full load state of the washing machine can be the first non-full load;

[0092] If the first water level change value (WL11-WL12) is greater than or equal to the first threshold value WLA, it means that the overall water absorption capacity of the laundry is relatively strong at this time. This may be because the number of laundry is relatively large, resulting in a large first water level change value after the fixed water level water inlet instruction and the non-water replenishment washing instruction. However, since it is not possible to determine whether the full load state of the laundry is the second non-full load at this time, it may also be due to the error in the fuzzy weighing function, which leads to the misjudgment of non-full load, that is, it may actually be fully loaded. Therefore, it is necessary to control the washing machine again to execute the fixed water level water inlet instruction and the non-water replenishment washing instruction in turn, and obtain the second water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction. For example, the water level of the washing machine before executing the water replenishment washing instruction is WL21, and the water level of the washing machine after executing the water replenishment washing instruction is WL22, and the second water level change value is WL21-WL22. Since the laundry absorbs water during the rotation process, causing the water level to drop, WL22 is generally greater than WL21;

[0093] If the second water level change value is less than or equal to the preset second threshold value WLB, it means that the overall water absorption capacity of the laundry is relatively weak at this time. This may be because the amount of laundry does not meet the full load requirement, resulting in a smaller first water level change value after the timed water inlet instruction and the water replenishment washing instruction. The prediction result of the current full load state of the washing machine can be the second non-full load.

[0094] Step 105, determining washing parameters corresponding to the laundry according to the current full load state of the laundry, so as to drive the washing machine to run a washing program to wash the laundry.

[0095] In this embodiment, the current full load state of the washing machine can be determined more accurately, which helps to determine the washing parameters required for the current laundry to be washed by the washing machine, thereby reducing the errors that may be caused by relying on the fuzzy weighing function to determine the washing parameters.

[0096] In some embodiments, Figure 2 and Figure 3 As shown, after obtaining the second water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction, the method further includes:

[0097] If the second water level change value is less than or equal to the second threshold value, the prediction result of the current full load state of the washing machine is full load.

[0098] In this embodiment, if the second water level change value is greater than the preset second threshold value WLB, it means that the overall water absorption capacity of the laundry is relatively strong at this time. This may be because the amount of laundry reaches the full load requirement, resulting in a large first water level change value after the timed water inlet instruction and the water replenishment washing instruction. The prediction result of the current full load state of the washing machine can be full load, and the fixed water level water inlet instruction and the non-water replenishment washing instruction are supplemented to ensure that it is consistent with the full load process initially determined, and the water consumption and power consumption are consistent.

[0099] In some embodiments, Figure 5 As shown, after determining the washing parameters corresponding to the current full-load state of the clothes and before determining the washing parameters corresponding to the full-load state of the clothes, the method further includes:

[0100] In response to the clothing material identification operation for the laundry, a weight value of the laundry is estimated when the current water level does not exceed a preset second water level threshold, to obtain a water content weight value W2 of the laundry;

[0101] Determining a weight value W2-W1 of water absorbed by the laundry according to the initial weight value W1 and the water content weight value W2;

[0102] The target clothing material of the laundry is determined according to the moisture weight value W2-W1 and the current full load state of the laundry.

[0103] In the present embodiment, it is also possible to identify the clothing material of the laundry to be washed. Specifically, after the laundry full load state is determined, the weight value of the laundry to be washed is estimated when the current water level height does not exceed the preset second water level height threshold WL0, and the water weight value of the laundry to be washed is obtained. The water weight value and the initial weight value are calculated to obtain the weight value of the water absorbed by the laundry to be washed. According to the water weight value, combined with the current laundry full load state of the washing machine, the target clothing material of the laundry to be washed is determined, thereby determining the washing parameters required for the current load of the washing machine.

[0104] In a specific application scenario, if W2-W1≤the first set threshold Wb, it means that the water absorption is small, and the clothes are fully loaded at 1 / 4, which means that the material C has medium water absorption capacity; if W2-W1≤the first set threshold Wb, and the clothes are fully loaded, it means that the material E has weak water absorption capacity.

[0105] If W2-W1>the second set threshold value Wc (Wc>Wb), it means that the water absorption is large, and the clothes are fully loaded at 1 / 4 load, which means that the material is A with strong water absorption capacity; if W2-W1>the second set threshold value Wc (Wc>Wb), and the clothes are fully loaded at full load, it means that the material is C with medium water absorption capacity.

[0106] The correspondence between clothing materials and water absorption capacity is shown in the table.

[0107] Serial number 1 2 3 4 5 Material Material A Material B Material C Material D Material E Water absorption capacity powerful Strong medium Weaker weak

[0108] In some embodiments, the step of determining the washing parameters corresponding to the laundry specifically includes:

[0109] The washing parameters corresponding to the laundry are determined according to the target laundry material and the current laundry full load state.

[0110] In this embodiment, the target clothing material of the laundry is judged according to the water weight value in combination with the current full load state of the washing machine, so that the washing parameters required for the laundry can be determined more accurately and reasonably.

[0111] All the above optional technical solutions can be arbitrarily combined to form optional embodiments of the present application, which will not be described one by one here.

[0112] In specific implementation, the present application is not limited by the execution order of the various steps described. If no conflict occurs, some steps can be performed in other orders or simultaneously.

[0113] As can be seen from the above, the washing parameter determination method provided in the embodiment of the present application estimates the weight value of the laundry placed in the washing machine before the washing program is run, so as to obtain the estimated initial weight value of the laundry; predicts the current laundry full load state of the washing machine according to the initial weight value, wherein the laundry full load state includes any one of full load, first non-full load and second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load; if the laundry full load state is non-full load, controls the washing machine to execute the fixed water level water inlet instruction and the non-water replenishment washing instruction in sequence, and obtains the first water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction; further predicts the current laundry full load state of the washing machine as the first non-full load or the second non-full load according to the first water level change value; determines the washing parameters corresponding to the laundry according to the current laundry full load state, so as to drive the washing machine to run the washing program to wash the laundry. By using the washing parameter determination method provided in the embodiment of the present application, when the fuzzy weighing function is used to determine that the washing machine is not currently fully loaded, the overall water absorption capacity of the current laundry can be analyzed to more accurately determine the current full load state of the laundry. This helps to determine the washing parameters required for the current laundry in the washing machine, thereby reducing the errors that may be caused by relying on the fuzzy weighing function to determine the washing parameters.

[0114] An embodiment of the present application also provides a washing parameter determination device, which can be integrated into an electronic device.

[0115] See also Figure 6 , Figure 6 A schematic diagram of the structure of a washing parameter determination device provided in an embodiment of the present application. The washing parameter determination device 30 may include:

[0116] The weight estimation module 31 is used to estimate the weight of the laundry put into the washing machine before the washing program is run, so as to obtain the estimated initial weight value of the laundry;

[0117] a first prediction module 32, configured to predict a current laundry full load state of the washing machine according to the initial weight value, wherein the laundry full load state includes any one of full load, a first non-full load and a second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load;

[0118] The command control module 33 is used to control the washing machine to execute the fixed water level water inlet command and the non-water replenishment washing command in sequence if the clothes are in a non-full load state, and obtain the first water level change value corresponding to the washing machine before and after executing the non-water replenishment washing command;

[0119] A second prediction module 34 is used to further predict, based on the first water level change value, whether the current laundry full load state of the washing machine is the first non-full load or the second non-full load;

[0120] The parameter determination module 35 is used to determine the washing parameters corresponding to the laundry according to the current full load state of the laundry, so as to drive the washing machine to run a washing program to wash the laundry.

[0121] In some embodiments, the weight estimation module 31 is used to control the start-up of the drum motor of the washing machine and detect the target current value corresponding to the drum motor during rotation; determine the target weight value corresponding to the target current value based on a pre-created mapping relationship between the current value and the weight value; and use the target weight value as the estimated initial weight value of the laundry.

[0122] In some embodiments, the first prediction module 32 is used to compare the initial weight value with a preset first weight threshold; if the initial weight value is greater than the first weight threshold, the prediction result of the current full load state of the washing machine is full load; if the initial weight value is less than or equal to the first weight threshold, the prediction result of the current full load state of the washing machine is a first non-full load or a second non-full load.

[0123] In some embodiments, the command control module 33 is used to execute a fixed water level water inlet command to control the water inlet of the washing machine until the current water level is greater than a preset first water level threshold, and then stop the water inlet of the washing machine; execute a non-water replenishment washing command to control the start of the drum motor of the washing machine and maintain the first preset time length.

[0124] In some embodiments, the second prediction module 34 is used to predict that the current full load state of the washing machine is a first non-full load if the first water level change value is less than or equal to a preset first threshold value; if the first water level change value is greater than the first threshold value, the washing machine is controlled again to execute the fixed water level water inlet instruction and the non-water replenishment washing instruction in sequence, and obtain the second water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction; if the second water level change value is less than or equal to the preset second threshold value, the prediction result of the current full load state of the washing machine is a second non-full load.

[0125] In some embodiments, the device further comprises a determination module for determining that a predicted result of a current full load state of the washing machine is full load if the second water level change value is greater than the second threshold value.

[0126] In some embodiments, the device further includes a material identification module, which is used to respond to a clothing material identification operation for the laundry, estimate the weight value of the laundry when the current water level does not exceed a preset second water level threshold, and obtain the water content weight value of the laundry; determine the weight value of the moisture absorbed by the laundry according to the initial weight value and the moisture content weight value; determine the target clothing material of the laundry according to the moisture weight value and the current full load state of the laundry; the parameter determination module 35 is used to determine the washing parameters corresponding to the laundry according to the current full load state of the laundry, so as to drive the washing machine to run a washing program to wash the laundry.

[0127] In specific implementation, the above modules can be implemented as independent entities, or can be arbitrarily combined to be implemented as the same entity or several entities.

[0128] As can be seen from the above, the washing parameter determination device 30 provided in the embodiment of the present application, wherein the weight estimation module 31 is used to estimate the weight value of the laundry placed in the washing machine before the washing program is run, and obtain the estimated initial weight value of the laundry; the first prediction module 32 is used to predict the current laundry full load state of the washing machine according to the initial weight value, wherein the laundry full load state includes any one of full load, first non-full load and second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load; the instruction control module 33 is used to predict the current laundry full load state of the washing machine according to the initial weight value. If the laundry full load state is not full load, the washing machine is controlled to execute the fixed water level water inlet instruction and the non-water replenishment washing instruction in sequence, and the first water level change value corresponding to the washing machine before and after the execution of the non-water replenishment washing instruction is obtained; the second prediction module 34 is used to further predict, according to the first water level change value, that the current laundry full load state of the washing machine is the first non-full load or the second non-full load; the parameter determination module 35 is used to determine the washing parameters corresponding to the laundry according to the current laundry full load state, so as to drive the washing machine to run the washing program to wash the laundry.

[0129] See also Figure 7 , Figure 7 Another structural diagram of a washing parameter determination device provided in an embodiment of the present application, the washing parameter determination device 30 includes a memory 120, one or more processors 180, and one or more application programs, wherein the one or more application programs are stored in the memory 120 and configured to be executed by the processor 180; the processor 180 may include a weight estimation module 31, a first prediction module 32, an instruction control module 33, a second prediction module 34, and a parameter determination module 35. For example, the structures and connection relationships of the above components may be as follows:

[0130] The memory 120 can be used to store applications and data. The applications stored in the memory 120 include executable codes. The applications can be composed of various functional modules. The processor 180 executes various functional applications and data processing by running the applications stored in the memory 120. In addition, the memory 120 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 120 may also include a memory controller to provide the processor 180 with access to the memory 120.

[0131] The processor 180 is the control center of the device, and uses various interfaces and lines to connect various parts of the entire terminal. By running or executing applications stored in the memory 120 and calling data stored in the memory 120, the processor 180 performs various functions of the device and processes data, thereby monitoring the device as a whole. Optionally, the processor 180 may include one or more processing cores; preferably, the processor 180 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs.

[0132] Specifically in this embodiment, the processor 180 will load the executable code corresponding to the process of one or more applications into the memory 120 according to the following instructions, and the processor 180 will run the application stored in the memory 120 to implement various functions:

[0133] A weight estimation instruction is used to estimate the weight of the laundry placed in the washing machine before the washing program is run, so as to obtain an estimated initial weight value of the laundry;

[0134] a first prediction instruction, for predicting a current laundry full load state of the washing machine according to the initial weight value, wherein the laundry full load state includes any one of a full load, a first non-full load, and a second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load;

[0135] Instruction control instructions, for controlling the washing machine to successively execute a fixed water level water inlet instruction and a non-water replenishment washing instruction if the clothes are in a non-full load state, and obtaining a first water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction;

[0136] a second prediction instruction, for further predicting, based on the first water level change value, that the current laundry full load state of the washing machine is the first non-full load or the second non-full load;

[0137] The parameter determination instruction is used to determine the washing parameters corresponding to the laundry according to the current full-load state of the laundry, so as to drive the washing machine to run a washing program to wash the laundry.

[0138] In some embodiments, the weight estimation instruction is used to control the start-up of the drum motor of the washing machine and detect the target current value corresponding to the drum motor during rotation; determine the target weight value corresponding to the target current value based on a pre-created mapping relationship between the current value and the weight value; and use the target weight value as the estimated initial weight value of the laundry.

[0139] In some embodiments, the first prediction instruction is used to compare the initial weight value with a preset first weight threshold; if the initial weight value is greater than the first weight threshold, the prediction result of the current full load state of the washing machine is full load; if the initial weight value is less than or equal to the first weight threshold, the prediction result of the current full load state of the washing machine is a first non-full load or a second non-full load.

[0140] In some embodiments, the instruction control instruction is used to execute a fixed water level water inlet instruction to control the water inlet of the washing machine until the current water level is greater than a preset first water level threshold, and stop the water inlet of the washing machine; execute a non-water replenishment washing instruction to control the drum motor of the washing machine to start and maintain the first preset time length.

[0141] In some embodiments, the second prediction instruction is used to predict that the current full load state of the washing machine is a first non-full load if the first water level change value is less than or equal to a preset first threshold value; if the first water level change value is greater than the first threshold value, the washing machine is controlled again to execute the fixed water level water inlet instruction and the non-water replenishment washing instruction in sequence, and obtain the second water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction; if the second water level change value is less than or equal to the preset second threshold value, the prediction result of the current full load state of the washing machine is a second non-full load.

[0142] In some embodiments, the program further includes a determination instruction for determining that a predicted result of a current full load state of the washing machine is full load if the second water level change value is greater than the second threshold value.

[0143] In some embodiments, the program further includes a material identification instruction for, in response to a clothing material identification operation for the laundry, estimating a weight value of the laundry when a current water level does not exceed a preset second water level threshold, to obtain a water content weight value of the laundry; determining a water weight value absorbed by the laundry according to the initial weight value and the water content weight value; determining a target clothing material of the laundry according to the water weight value and a current full load state of the laundry; and a parameter determination instruction for determining a washing parameter corresponding to the laundry according to the current full load state of the laundry, so as to drive the washing machine to run a washing program to wash the laundry.

[0144] The present application also provides an electronic device. Figure 8 , Figure 8The electronic device 1200 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application, and the electronic device can be used to implement the washing parameter determination method provided in the above embodiment. The electronic device 1200 can be a washing machine, a smart phone, or a tablet computer.

[0145] like Figure 8 As shown, the electronic device 1200 may include an RF (Radio Frequency) circuit 110, a memory 120 including one or more (only one is shown in the figure) computer-readable storage media, an input unit 130, a display unit 140, a sensor 150, an audio circuit 160, a transmission module 170, a processor 180 including one or more (only one is shown in the figure) processing cores, and a power supply 190. Those skilled in the art will understand that Figure 8 The structure of the electronic device 1200 shown in the figure does not constitute a limitation on the electronic device 1200, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0146] The RF circuit 110 is used to receive and send electromagnetic waves, realize the mutual conversion between electromagnetic waves and electrical signals, and thus communicate with a communication network or other washing machines. The RF circuit 110 may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption / decryption chip, a user identity module (SIM) card, a memory, etc. The RF circuit 110 can communicate with various networks such as the Internet, an intranet, a wireless network, or communicate with other washing machines through a wireless network.

[0147] The memory 120 can be used to store software programs and modules, such as the program instructions / modules corresponding to the method for determining washing parameters in the above-mentioned embodiment. The processor 180 executes various functional applications and data processing by running the software programs and modules stored in the memory 120. The vibration reminder mode can be automatically selected according to the current scene of the electronic device to determine the washing parameters, which can not only ensure that scenes such as meetings are not disturbed, but also ensure that users can sense incoming calls, thereby improving the intelligence of the electronic device. The memory 120 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 120 may further include a memory remotely arranged relative to the processor 180, and these remote memories may be connected to the electronic device 1200 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0148] The input unit 130 can be used to receive input digital or character information, and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control. Specifically, the input unit 130 may include a touch-sensitive surface 131 and other input washing machines 132. The touch-sensitive surface 131, also known as a touch display screen or touch pad, can collect user touch operations on or near it (such as operations performed by users using fingers, styluses, or any other suitable objects or accessories on or near the touch-sensitive surface 131), and drive corresponding connection devices according to a pre-set program. Optionally, the touch-sensitive surface 131 may include a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into touch point coordinates, and then sends it to the processor 180, and can receive and execute commands sent by the processor 180. In addition, the touch-sensitive surface 131 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch-sensitive surface 131, the input unit 130 may further include other input washers 132. Specifically, the other input washers 132 may include, but are not limited to, one or more of a physical keyboard, a function key (such as a volume control key, a switch key, etc.), a trackball, a mouse, a joystick, and the like.

[0149] The display unit 140 can be used to display information input by the user or information provided to the user and various graphical user interfaces of the electronic device 1200, which can be composed of graphics, text, icons, videos and any combination thereof. The display unit 140 may include a display panel 141. Optionally, the display panel 141 may be configured in the form of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), etc. Further, the touch-sensitive surface 131 may cover the display panel 141. When the touch-sensitive surface 131 detects a touch operation on or near it, it is transmitted to the processor 180 to determine the type of touch event. Subsequently, the processor 180 provides corresponding visual output on the display panel 141 according to the type of touch event. Although in Figure 8 In the embodiment, the touch-sensitive surface 131 and the display panel 141 are implemented as two independent components to realize the input and output functions. However, in some embodiments, the touch-sensitive surface 131 and the display panel 141 can be integrated to realize the input and output functions.

[0150] The electronic device 1200 may also include at least one sensor 150, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display panel 141 according to the brightness of the ambient light, and the proximity sensor may turn off the display panel 141 and / or the backlight when the electronic device 1200 is moved to the ear. As a type of motion sensor, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally three axes), and can detect the magnitude and direction of gravity when stationary. It can be used for applications that identify the posture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc.; as for other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that can also be configured in the electronic device 1200, they will not be repeated here.

[0151] The audio circuit 160, the speaker 161, and the microphone 162 can provide an audio interface between the user and the electronic device 1200. The audio circuit 160 can transmit the received audio data to the speaker 161 after converting the received audio data into an electrical signal, which is converted into a sound signal for output by the speaker 161; on the other hand, the microphone 162 converts the collected sound signal into an electrical signal, which is received by the audio circuit 160 and converted into audio data, and then the audio data is processed by the output processor 180, and then sent to another terminal through the RF circuit 110, or the audio data is output to the memory 120 for further processing. The audio circuit 160 may also include an earplug jack to provide communication between an external headset and the electronic device 1200.

[0152] The electronic device 1200 can help users send and receive emails, browse web pages, and access streaming media through the transmission module 170 (such as a Wi-Fi module), which provides users with wireless broadband Internet access. Figure 8 The transmission module 170 is shown, but it is understandable that it is not an essential component of the electronic device 1200 and can be omitted as needed without changing the essence of the invention.

[0153] The processor 180 is the control center of the electronic device 1200. It uses various interfaces and lines to connect various parts of the entire mobile phone. By running or executing software programs and / or modules stored in the memory 120, and calling data stored in the memory 120, it executes various functions of the electronic device 1200 and processes data, thereby monitoring the mobile phone as a whole. Optionally, the processor 180 may include one or more processing cores; in some embodiments, the processor 180 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, etc., and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 180.

[0154] The electronic device 1200 also includes a power supply 190 for supplying power to various components. In some embodiments, the power supply can be logically connected to the processor 180 through a power management system, so that the power management system can realize functions such as managing discharge and power consumption. The power supply 190 can also include any components such as one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators.

[0155] Although not shown, the electronic device 1200 may also include a camera (such as a front camera, a rear camera), a Bluetooth module, etc., which will not be described in detail here. Specifically in this embodiment, the display unit 140 of the electronic device 1200 is a touch screen display, and the electronic device 1200 also includes a memory 120, and one or more programs, wherein one or more programs are stored in the memory 120, and are configured to be executed by one or more processors 180. One or more programs include instructions for performing the following operations:

[0156] A weight estimation instruction is used to estimate the weight of the laundry placed in the washing machine before the washing program is run, so as to obtain an estimated initial weight value of the laundry;

[0157] a first prediction instruction, for predicting a current laundry full load state of the washing machine according to the initial weight value, wherein the laundry full load state includes any one of a full load, a first non-full load, and a second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load;

[0158] Instruction control instructions, for controlling the washing machine to successively execute a fixed water level water inlet instruction and a non-water replenishment washing instruction if the clothes are in a non-full load state, and obtaining a first water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction;

[0159] a second prediction instruction, for further predicting, based on the first water level change value, that the current laundry full load state of the washing machine is the first non-full load or the second non-full load;

[0160] The parameter determination instruction is used to determine the washing parameters corresponding to the laundry according to the current full-load state of the laundry, so as to drive the washing machine to run a washing program to wash the laundry.

[0161] In some embodiments, the weight estimation instruction is used to control the start-up of the drum motor of the washing machine and detect the target current value corresponding to the drum motor during rotation; determine the target weight value corresponding to the target current value based on a pre-created mapping relationship between the current value and the weight value; and use the target weight value as the estimated initial weight value of the laundry.

[0162] In some embodiments, the first prediction instruction is used to compare the initial weight value with a preset first weight threshold; if the initial weight value is greater than the first weight threshold, the prediction result of the current full load state of the washing machine is full load; if the initial weight value is less than or equal to the first weight threshold, the prediction result of the current full load state of the washing machine is a first non-full load or a second non-full load.

[0163] In some embodiments, the instruction control instruction is used to execute a fixed water level water inlet instruction to control the water inlet of the washing machine until the current water level is greater than a preset first water level threshold, and stop the water inlet of the washing machine; execute a non-water replenishment washing instruction to control the drum motor of the washing machine to start and maintain the first preset time length.

[0164] In some embodiments, the second prediction instruction is used to predict that the current full load state of the washing machine is a first non-full load if the first water level change value is less than or equal to a preset first threshold value; if the first water level change value is greater than the first threshold value, the washing machine is controlled again to execute the fixed water level water inlet instruction and the non-water replenishment washing instruction in sequence, and obtain the second water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction; if the second water level change value is less than or equal to the preset second threshold value, the prediction result of the current full load state of the washing machine is a second non-full load.

[0165] In some embodiments, the program further includes a determination instruction for determining that a predicted result of a current full load state of the washing machine is full load if the second water level change value is greater than the second threshold value.

[0166] In some embodiments, the program further includes a material identification instruction for, in response to a clothing material identification operation for the laundry, estimating a weight value of the laundry when a current water level does not exceed a preset second water level threshold, to obtain a water content weight value of the laundry; determining a water weight value absorbed by the laundry according to the initial weight value and the water content weight value; determining a target clothing material of the laundry according to the water weight value and a current full load state of the laundry; and a parameter determination instruction for determining a washing parameter corresponding to the laundry according to the current full load state of the laundry, so as to drive the washing machine to run a washing program to wash the laundry.

[0167] The embodiment of the present application also provides an electronic device, which may be a smart phone, a washing machine, a computer, or other device.

[0168] As can be seen from the above, the embodiment of the present application provides an electronic device 1200, and the electronic device 1200 performs the following steps:

[0169] Before the washing program is run, the weight of the laundry placed in the washing machine is estimated to obtain an estimated initial weight of the laundry;

[0170] Predicting a current laundry full load state of the washing machine according to the initial weight value, wherein the laundry full load state includes any one of full load, a first non-full load and a second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load;

[0171] If the laundry full load state is not full load, the washing machine is controlled to execute the fixed water level water inlet instruction and the non-water replenishment washing instruction in sequence, and the first water level change value corresponding to the washing machine before and after the non-water replenishment washing instruction is obtained;

[0172] Further predicting, according to the first water level change value, that the current laundry full load state of the washing machine is the first non-full load or the second non-full load;

[0173] According to the current full-load state of the clothes, washing parameters corresponding to the clothes to be washed are determined to drive the washing machine to run a washing program to wash the clothes to be washed.

[0174] An embodiment of the present application further provides a storage medium, wherein a computer program is stored in the storage medium. When the computer program is executed on a computer, the computer executes the method for determining washing parameters described in any of the above embodiments.

[0175] It should be noted that, for the method for determining washing parameters described in the present application, ordinary testers in the field can understand that the whole or part of the process of the method for determining washing parameters described in the embodiment of the present application can be completed by controlling the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, such as a memory of an electronic device, and executed by at least one processor in the electronic device, and the execution process may include the process of the embodiment of the method for determining washing parameters. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), etc.

[0176] For the washing parameter determination device of the embodiment of the present application, each functional module can be integrated into a processing chip, or each module can exist physically separately, or two or more modules can be integrated into one module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of software functional modules. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium, such as a read-only memory, a disk or an optical disk.

[0177] The above is a detailed introduction to the washing parameter determination method, device, medium and equipment provided in the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core ideas of the present application; at the same time, for those skilled in the art, according to the ideas of the present application, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for determining washing parameters, applied to a washing machine, characterized in that: include: Before the washing program is run, the weight of the laundry placed in the washing machine is estimated to obtain an estimated initial weight of the laundry; Predicting a current laundry full load state of the washing machine according to the initial weight value, wherein the laundry full load state includes any one of full load, a first non-full load and a second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load; If the laundry full load state is not full load, the washing machine is controlled to execute the fixed water level water inlet instruction and the non-water replenishment washing instruction in sequence, and the first water level change value corresponding to the washing machine before and after the non-water replenishment washing instruction is obtained; Further predicting, according to the first water level change value, that the current laundry full load state of the washing machine is the first non-full load or the second non-full load; According to the current full-load state of the clothes, washing parameters corresponding to the clothes to be washed are determined to drive the washing machine to run a washing program to wash the clothes to be washed.

2. The method for determining washing parameters according to claim 1, characterized in that: The step of estimating the weight of the laundry put into the washing machine to obtain the estimated initial weight of the laundry includes: Controlling the start-up of the drum motor of the washing machine, and detecting the target current value corresponding to the drum motor during the rotation process; Determining a target weight value corresponding to the target current value according to a pre-created mapping relationship between the current value and the weight value; The target weight value is used as the estimated initial weight value of the laundry.

3. The method for determining washing parameters according to claim 1, characterized in that: The predicting the current laundry full load state of the washing machine according to the initial weight value comprises: comparing the initial weight value with a preset first weight threshold; If the initial weight value is greater than the first weight threshold, the prediction result of the current full load state of the washing machine is full load; If the initial weight value is less than or equal to the first weight threshold, the prediction result of the current laundry full load state of the washing machine is the first non-full load or the second non-full load.

4. The method for determining washing parameters according to claim 1, characterized in that: The controlling the washing machine to successively execute a fixed water level water inlet instruction and a non-water replenishment washing instruction comprises: Execute the fixed water level water inlet instruction to control the water inlet of the washing machine until the current water level is greater than a preset first water level threshold, and then stop the water inlet of the washing machine; Execute a non-water-replenishing washing instruction, control the drum motor of the washing machine to start, and maintain a first preset time length.

5. The method for determining washing parameters according to claim 1, characterized in that: The further predicting, based on the first water level change value, that the current laundry full load state of the washing machine is the first non-full load or the second non-full load comprises: If the first water level change value is less than or equal to a preset first threshold value, the prediction result of the current full load state of the washing machine is a first non-full load; If the first water level change value is greater than the first threshold value, the washing machine is controlled again to successively execute the fixed water level water inlet instruction and the non-water replenishment washing instruction, and the second water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction is obtained; If the second water level change value is less than or equal to a preset second threshold value, the prediction result of the current full load state of the washing machine is a second non-full load.

6. The method for determining washing parameters according to claim 5, characterized in that: After obtaining the second water level change value corresponding to the washing machine before and after executing the non-water replenishment washing instruction, the method further includes: If the second water level change value is greater than the second threshold value, it is determined that the prediction result of the current full load state of the washing machine is full load.

7. The method for determining washing parameters according to claim 1, characterized in that: After determining the washing parameters corresponding to the current full-load state of the clothes and before determining the washing parameters corresponding to the full-load state of the clothes, the method further includes: In response to the clothing material identification operation for the laundry, estimating the weight value of the laundry when the current water level does not exceed a preset second water level threshold, to obtain the water content weight value of the laundry; Determining the weight value of water absorbed by the laundry according to the initial weight value and the water content weight value; Determining a target clothing material of the laundry according to the moisture weight value and the current full load state of the laundry; The determining of washing parameters corresponding to the laundry includes: The washing parameters corresponding to the laundry are determined according to the target laundry material and the current laundry full load state.

8. A washing parameter determination device, applied to a washing machine, characterized in that: The washing parameter determination device comprises: A weight estimation module, used for estimating the weight of the laundry placed in the washing machine before the washing program is run, to obtain an estimated initial weight value of the laundry; a first prediction module, configured to predict a current laundry full load state of the washing machine according to the initial weight value, wherein the laundry full load state includes any one of a full load, a first non-full load, and a second non-full load, and the non-full load degree of the first non-full load is greater than the non-full load degree of the second non-full load; an instruction control module, for controlling the washing machine to successively execute a fixed water level water inlet instruction and a non-water replenishment washing instruction if the clothes are in a non-full load state, and obtaining a first water level change value corresponding to before and after the washing machine executes the non-water replenishment washing instruction; a second prediction module, configured to further predict, based on the first water level change value, whether the current laundry full load state of the washing machine is the first non-full load or the second non-full load; The parameter determination module is used to determine the washing parameters corresponding to the laundry according to the current full-load state of the laundry, so as to drive the washing machine to run a washing program to wash the laundry.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute the washing parameter determination method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: It comprises a processor and a memory, wherein the memory stores a plurality of instructions, and the processor loads the instructions to execute the washing parameter determination method according to any one of claims 1 to 7.

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