CN109112774B - Control method and device of washing machine, storage medium and washing machine - Google Patents
Control method and device of washing machine, storage medium and washing machine Download PDFInfo
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- CN109112774B CN109112774B CN201811340908.1A CN201811340908A CN109112774B CN 109112774 B CN109112774 B CN 109112774B CN 201811340908 A CN201811340908 A CN 201811340908A CN 109112774 B CN109112774 B CN 109112774B
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F33/00—Control of operations performed in washing machines or washer-dryers
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Abstract
The embodiment of the application discloses a control method and device of a washing machine, a storage medium and the washing machine, wherein the method comprises the following steps: acquiring image information and water contamination degree of clothes washed in the washing machine, and acquiring weight information and/or volume information of the clothes washed in the washing machine; determining the clothes type and dirty level of the clothes to be washed according to the image information and the corresponding relation between the water dirty degree and the set clothes type and dirty level; and adjusting the washing parameters of the washing machine for the laundry according to the type of the laundry and the dirty grade of the laundry, and combining the weight information and/or the volume information. The method can improve the intelligence of the washing machine.
Description
Technical Field
The application relates to the technical field of washing equipment, in particular to a control method and device of a washing machine, a storage medium and the washing machine.
Background
With the continuous development of computer technology and the increasing improvement of the living standard of people, the conventional home can not meet the requirements of people.
At present, a conventional washing machine is usually built in with several washing strategies (e.g. conventional washing, quick washing, wool washing, soft washing, etc.) when the washing machine leaves a factory, and a user can start the washing machine by selecting the washing strategy on the washing machine when washing clothes. However, for different clothes, users often do not know how to select a washing strategy well, so that some clothes cannot be washed clean in time, and the intelligence of the washing machine is poor.
Disclosure of Invention
The embodiment of the application provides a control method and device of a washing machine, a storage medium and the washing machine, which can adjust washing parameters according to the dirty condition of clothes, solve the problem of poor intelligence of the washing machine and improve the intelligence of the washing machine.
In a first aspect, an embodiment of the present application provides a control method of a washing machine, including:
acquiring image information and water contamination degree of the laundry in the washing machine, and acquiring weight information and/or volume information of the laundry;
determining the clothes type and the dirty grade of the clothes according to the corresponding relation between the set image information, the set water dirty degree and the set clothes type and dirty grade;
adjusting washing parameters of the washing machine for the laundry according to the laundry type and the laundry dirtiness level in combination with the weight information and/or the volume information.
In a second aspect, the present application provides a washing machine including a module for performing the method of the first aspect.
In a third aspect, an embodiment of the present application provides another washing machine, which includes a processor and a memory, where the processor and the memory are connected to each other, where the memory is used to store a computer program that supports the washing machine to execute the above method, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium storing a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method of the first aspect.
In a fifth aspect, embodiments of the present application provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method according to the first aspect as described above.
In the embodiment of the application, the washing machine acquires the image information of the laundry in the washing machine, acquires the water contamination degree, the weight information and/or the volume information of the laundry, determines the dirty level and the type of the laundry according to the water contamination degree and the image information of the laundry, and finally adjusts the washing parameters of the washing machine according to the dirty level and the type of the laundry, so that the intelligence of the washing machine is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a washing machine according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart illustrating another control method for a washing machine according to an embodiment of the present disclosure;
FIG. 3 is a flow chart illustrating a control method of another washing machine according to an embodiment of the present disclosure;
FIG. 4 is a schematic block diagram of a washing machine provided in an embodiment of the present application;
FIG. 5 is a schematic block diagram of a washing machine provided in another embodiment of the present application;
fig. 6 is a schematic block diagram of a washing machine according to still another embodiment of the present application.
Detailed Description
Embodiments of the present application are described below with reference to the accompanying drawings. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Embodiments of the present application are described below with reference to the accompanying drawings. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
With the development of science and technology and the continuous improvement of the living standard of people, people use washing machines more frequently in daily life. At present, no matter the full-automatic washing machine or the semi-automatic washing machine, a user is required to firstly select one of washing strategies (such as conventional washing, quick washing, wool washing, gentle washing and the like), and then the washing machine performs the clothes washing treatment according to the washing strategy selected by the user, however, for clothes with different dirtiness degrees, the user often does not know how to well select the washing strategy, so that some clothes cannot be washed clean in time, and the intelligence of the washing machine is poor.
To this end, referring to fig. 1, a washing machine according to an embodiment of the present disclosure may include a detection module 101, a decision module 102, an execution module 103, and a network module 104.
In one possible embodiment, the washing machine may be configured with a sensor (e.g., a liquid turbidity sensor, a weight sensor, etc.) and a camera, and when it is detected that the washing machine is executing a washing strategy, the configured sensor and camera collect data of laundry in the washing machine and send the data of the laundry to the decision module 102, wherein the washing strategy is a preset mode for washing laundry of the washing machine, and the preset mode includes any one or more of regular washing, quick washing, woolen washing and soft washing. For example, the laundry data may include weight, volume, water contamination degree, image information, and the like of the laundry, the image information may be collected by a camera, the volume may be collected by a weight sensor, the water contamination degree may be collected by a liquid contamination degree sensor, in some embodiments, the laundry data may be collected by other devices or other methods, which is not limited in this application.
The decision module 102 may be configured with a single chip microcomputer, and perform pattern recognition and decision algorithm operation on the laundry data to obtain an adjustment instruction for a washing parameter in an executing laundry policy, and send the adjustment instruction to the execution module 103. The execution module 103 may adjust the washing parameters (e.g., switching of forward and reverse rotation of the motor during washing, rotation speed, laundry washing temperature, switching of washing, rinsing, and elution modes, etc.) according to the adjustment instruction.
For example, for a dirty wool overcoat, if the washing machine is executing a washing strategy of a conventional washing, the washing machine may photograph or pick up the wool overcoat through a configured camera to obtain image information of the wool overcoat, then obtain a water turbidity degree through a configured liquid turbidity degree sensor, and perform training learning classification on the image information and the water turbidity degree of the wool overcoat based on deep learning to determine a dirty grade of the clothes. The washing machine can also extract the characteristic parameters of the wool overcoat according to the image information of the wool overcoat, match the characteristic parameters of the wool overcoat with the characteristic parameters in the clothing database to obtain the classification identification of the wool overcoat, and the classification identification can be used for determining the clothing type of the wool overcoat. The washing machine can acquire the weight, volume and other parameters of the wool overcoat, and adjust the conventional washing strategy by combining the weight, volume, classification identification of the wool overcoat and the dirty grade of clothes, for example, reducing the rotation speed, the washing temperature, the forward and reverse switching frequency and the like through an actuating mechanism (a motor, a heater and the like), so that the current washing strategy is suitable for washing the wool overcoat. .
In one embodiment, the washing machine may also establish a communication connection with a server through the network module 104, collect data remotely, receive a software update package sent by the server upon detecting that an updated version for the washing machine exists on the server, and send the software update package to the decision module 102, and the decision module 102 may operate an embedded system for installation to achieve a software upgrade for the washing machine.
Therefore, the washing machine provided by the embodiment of the application can achieve the effect of adjusting the currently executed washing strategy according to the clothes conditions with different dirtiness degrees through mode recognition and intelligent detection, has the capability of intelligently deciding the execution parameters, ensures that the washing strategy of the washing machine is better matched with clothes, and improves the intelligence of the washing machine.
For a more detailed description, the following describes embodiments of the method provided herein.
It should be noted that, the method embodiments provided in the embodiments of the present application may be performed by a washing machine. Specifically, the washing machine may be, for example, a full-automatic washing machine, a semi-automatic washing machine, a pulsator washing machine, a drum washing machine, and the like, which may be used to wash laundry and adjust a washing strategy, and of course, the above washing machines are merely examples, but not exhaustive, and include, but are not limited to, the above optional washing machines.
Referring to fig. 2, a flow chart of a control method of a washing machine according to an embodiment of the present application is schematically shown, where the method is applicable to a washing machine, and the method shown in fig. 2 may include:
s201, obtaining image information and water pollution degree of the clothes washed in the washing machine, and obtaining weight information and/or volume information of the clothes washed in the washing machine.
In one embodiment, the acquiring image information and water contamination level of the laundry in the washing machine, and acquiring weight information and/or volume information of the laundry, includes: when the washing machine is detected to execute a washing strategy, acquiring image information and water turbidity degree of clothes in the washing machine, and acquiring weight information and/or volume information of the clothes, wherein the washing strategy is a preset clothes washing mode of the washing machine.
For example, the washing machine may be preset with a plurality of washing strategies, and the washing strategies may include any one or more of regular washing, quick washing, wool washing, and soft washing. Each laundry strategy may be provided with corresponding wash parameters which may include any one or more of rotational speed, forward and reverse switching frequency, laundry temperature, wash time and/or rinse time. Wherein, the rotating speed can refer to the rotating speed of the washing machine drum; the forward and reverse rotation switching frequency can refer to the times of reverse rotation and forward rotation of the washing machine in the washing process of unit time; the washing machine can be provided with a heater and a temperature sensor for controlling the temperature of the washing water to reach a proper temperature. In other embodiments, the washing strategy may further include water amount, etc., which is not limited in any way by the embodiments of the present application.
In some possible embodiments, the washing machine may be provided with a camera, which may be a waterproof camera, and the camera part of the waterproof camera is externally provided with a glass waterproof jacket structure for preventing water from entering in the washing process.
The washing machine can acquire the image information of the washed clothes in the washing machine through the camera, and the mode of acquiring the image information includes but is not limited to taking pictures of the washed clothes at a fixed frequency or recording the image information of the washed clothes in a video mode. The image information can be used to extract characteristic parameters of the laundry. Of course, the above-mentioned modes are only examples, not exhaustive, and include but are not limited to the above-mentioned alternatives.
In one embodiment, the washing machine may be provided with a liquid contamination level sensor by which the level of water contamination can be measured.
In one embodiment, the washing machine may be provided with a weight sensor, and the weight and volume of the laundry are collected by detecting the water level inside the drum of the washing machine and estimating the weight, volume and the like of the laundry.
In another embodiment, the user may manually input the weight information and/or the volume information of the laundry through the man-machine interface when selecting the washing strategy.
For example, for a wool overcoat, if the washing machine is executing a washing strategy of a conventional washing, the washing machine may photograph or photograph the wool overcoat through a camera configured to obtain image information of the wool overcoat, obtain a water contamination level for washing the wool overcoat through a liquid contamination level sensor, and obtain weight information and/or volume information of the wool overcoat through a weight sensor.
S202, determining the clothes type and the dirty grade of the clothes to be washed according to the image information and the corresponding relation between the water dirty degree and the set clothes type and dirty grade.
The washing machine can pre-collect image information of a plurality of clothes with different dirt degrees and different water dirt degree data by utilizing a deep learning algorithm, and perform data training on the image information of the plurality of clothes with different dirt degrees and the different water dirt degree data to obtain set clothes dirt levels and set clothes types corresponding to the image information and the water dirt degrees respectively.
Further, when the washing machine is washing clothes, image acquisition and water pollution degree acquisition are carried out through a camera and a liquid pollution degree sensor, image information and water pollution degree of the woolen overcoat can be trained, learned and classified by utilizing a mode recognition algorithm, and clothes dirty grade and clothes type corresponding to the washed clothes are obtained through matching according to the corresponding relation between the image information and the water pollution degree and the set clothes type and the set clothes dirty grade.
In one embodiment, determining the laundry type and the laundry dirty level of the laundry based on the image information and the correspondence between the water dirty level and the set laundry type and set laundry dirty level includes: extracting characteristic parameters of the clothes to be washed according to the image information of the clothes to be washed; obtaining the clothes type of the laundry according to the corresponding relation between the characteristic parameters of the laundry and the set clothes type; determining the laundry dirtiness level of the laundry according to the corresponding relationship between the water pollution level and the set laundry dirtiness level.
It should be noted that, a laundry database may be pre-established in the washing machine, and the laundry database may be a database stored in the washing machine and including characteristic parameters of at least two types of laundry, where each type of laundry may uniquely correspond to a classification identifier. Each type of clothing may include characteristic parameters of the clothing fabric, such as drape, elasticity, gloss, fluffiness, etc., and the clothing fabric may include any one or more of wool, knitting, pure cotton, chemical fiber, tencel, silk, flax, cotton, ramie, and blended fabric, which is not limited by the embodiments.
The characteristic parameters of the laundry may include fabric details, lines, patterns, etc. of the laundry. The washing machine can analyze and extract the characteristic parameters according to the image information of the clothes to be washed, match the characteristic parameters with the characteristic parameters of the clothes database, and the set clothes type corresponding to the characteristic parameters of the clothes database with the highest matching degree is the clothes type of the clothes to be washed.
Each clothing category can uniquely correspond to a clothing identification, and the clothing identification is used for indexing and determining the clothing category.
The dirty grade of the clothes can be a score or a grade, for example, if the grade is the score, the more dirty the clothes are, the higher the score is; if it is a grade, the dirtier the clothes is, the higher the grade is, of course, the above mentioned ways are only examples and not exhaustive, including but not limited to the above mentioned alternatives.
S203, adjusting washing parameters of the washing machine for the clothes to be washed according to the clothes type and the clothes dirtiness grade and combining the weight information and/or the volume information.
In one embodiment, the washing parameters include any one or more of a rotation speed, a forward and reverse rotation switching frequency, a washing temperature, a washing time and/or a rinsing time; said adjusting washing parameters of said washing machine for said laundry according to said laundry category and said laundry dirtiness level in combination with said weight information and/or said volume information, comprising; adjusting the washing temperature and/or the forward and reverse rotation switching frequency according to the type of the clothes to be washed; adjusting a rotational speed of the washing machine according to the laundry dirtiness level; the washing time and/or the rinsing time is adjusted according to the weight information and/or the volume information of the laundry.
The washing machine may adjust the washing parameters in the conventional washing strategy in combination with the laundry type and laundry dirtiness level of the laundry, and adjust the washing parameters through actuators, which may include motors, heaters, etc.
For example, if the laundry is wool overcoat, and the washing machine performs a washing strategy of a regular washing at this time, the washing machine may reduce the washing temperature by the heater by reducing the rotation speed of the motor, reducing the forward and reverse switching frequency, and the like. By adjusting the washing parameters, the washing time and/or the rinsing time by means of the timer, the current washing strategy can be adapted to the washing of the laundry.
Therefore, in the embodiment of the application, the washing machine acquires the image information of the laundry in the washing machine, acquires the water contamination degree, the weight information and/or the volume information of the laundry, determines the dirty level and the type of the laundry according to the water contamination degree and the image information of the laundry, and finally adjusts the washing parameters being executed by the washing machine according to the dirty level and the type of the laundry, so that the currently executed washing parameters are adjusted according to the conditions of the laundry with different dirty degrees, the washing parameters of the washing machine are better matched with the laundry, and the intelligence of the washing machine is improved.
Please refer to fig. 3, which is a flowchart illustrating another control method for a washing machine according to an embodiment of the present application. The method as shown in fig. 3 may include:
s301, obtaining image information and water contamination degree of clothes washed in the washing machine, and obtaining weight information and/or volume information of the clothes washed in the washing machine.
S302, determining the clothes type and the dirty grade of the clothes to be washed according to the image information and the corresponding relation between the water dirty degree and the set clothes type and dirty grade.
S303, adjusting washing parameters of the washing machine for the clothes to be washed according to the clothes type and the clothes dirtiness grade and combining the weight information and/or the volume information.
It should be noted that, for specific implementation manners of the above steps S301 to S302, reference may be made to corresponding descriptions in the foregoing method embodiments, and details are not repeated here.
S304, controlling the network module to detect whether the server has an updated version for the washing machine.
In one embodiment, the washing machine is provided with a network module, and establishes a communication connection with a server through the network module. The washing machine may establish a communication connection with the server through the network module, the communication connection including, but not limited to, a WIFI connection, a mobile cellular network connection, a bluetooth connection, and the like. Through the communication connection, the washing machine may receive data transmitted from the server.
S305, if the software update package exists, receiving the software update package generated by the server aiming at the update version.
S306, performing remote updating operation on the washing machine according to the software updating package.
For example, the washing machine remotely collects data of a server through a network module, and once an updated version for the washing machine is detected to exist on the server, a notification message can be sent to the server, the notification message can be used for notifying the server to send a software update package for the updated version, the server can send the software update package to the washing machine after receiving the notification message, and after receiving the software update package, the washing machine can perform installation by operating an embedded system according to the software update package to achieve software upgrading of the washing machine.
Therefore, in the embodiment of the application, the washing machine acquires image information of clothes in the washing machine, acquires water turbidity degree, weight information and/or volume information of the clothes, determines the dirty grade and the type of the clothes according to the water turbidity degree and the image information of the clothes, adjusts the washing parameters of the washing machine according to the dirty grade and the type of the clothes, receives a software update package sent by a server when an update version of the washing machine is detected to exist on the server, and performs the upgrade operation of the washing machine according to the software update package, so that the washing machine can be updated in real time, and the intelligence of the washing machine is improved.
Referring to fig. 4, which is a schematic block diagram of a washing machine according to an embodiment of the present disclosure, the washing machine described in this embodiment includes: an acquisition unit 401 and a control unit 402.
Wherein, this washing machine includes treater, sensor, camera, its characterized in that, should: the acquisition unit 401 may incorporate the camera, sensors, etc., and the control unit 402 may incorporate the processor.
An acquiring unit 401 for acquiring image information and water contamination level of laundry in the washing machine, and acquiring weight information and/or volume information of the laundry;
a control unit 402 for determining the laundry type and the laundry dirty level of the laundry according to the image information and the correspondence between the water dirty level and the set laundry type and set laundry dirty level;
the control unit 402 is further configured to adjust the washing parameters of the washing machine for the laundry according to the laundry type and the laundry dirtiness level in combination with the weight information and/or the volume information.
In one embodiment, the acquiring unit 401 acquires image information and water contamination level of the laundry in the washing machine, and acquires weight information and/or volume information of the laundry, including: when the washing machine is detected to execute a washing strategy, acquiring image information and water turbidity degree of clothes in the washing machine, and acquiring weight information and/or volume information of the clothes, wherein the washing strategy is a preset clothes washing mode of the washing machine.
In one embodiment, the control unit 402 determines the laundry type and the laundry dirty level of the laundry according to the image information and the correspondence between the water dirty degree and the set laundry type and set laundry dirty level, including: extracting characteristic parameters of the clothes to be washed according to the image information of the clothes to be washed; obtaining the clothes type of the laundry according to the corresponding relation between the characteristic parameters of the laundry and the set clothes type; determining the laundry dirtiness level of the laundry according to the corresponding relationship between the water pollution level and the set laundry dirtiness level.
In one embodiment, the washing machine is provided with a network module (not shown) and establishes a communication connection with the server through the network module.
The control unit 402 is further configured to control the network module to detect whether an updated version exists for the washing machine in the server; the control unit 402 is further configured to receive, if the software update package exists, the software update package generated by the server for the update version; the control unit 402 is further configured to perform a remote update operation on the washing machine according to the software update package.
In one embodiment, the washing parameters include any one or more of a rotational speed, a forward and reverse switching frequency, a washing temperature, a washing time and/or a rinsing time.
The control unit 402 adjusts the washing parameters of the washing machine for the laundry according to the laundry type and the laundry dirtiness level in combination with the weight information and/or the volume information, including; adjusting the washing temperature and/or the forward and reverse switching frequency according to the type of the clothes to be washed; adjusting the rotation speed of the washing machine according to the laundry dirtiness level; the washing time and/or the rinsing time is adjusted according to the weight information and/or the volume information of the laundry.
Therefore, in the embodiment of the application, the washing machine acquires the image information of the laundry in the washing machine, acquires the water contamination degree, the weight information and/or the volume information of the laundry, determines the dirty level and the type of the laundry according to the water contamination degree and the image information of the laundry, and finally adjusts the washing parameters being executed by the washing machine according to the dirty level and the type of the laundry, so that the currently executed washing parameters are adjusted according to the conditions of the laundry with different dirty degrees, the washing parameters of the washing machine are better matched with the laundry, and the intelligence of the washing machine is improved.
Referring to fig. 5, another embodiment of the present application further provides a washing machine, as shown in fig. 5, for convenience of description, only the parts related to the embodiment of the present application are shown, and details are not disclosed, please refer to the method part of the embodiment of the present application. The washing machine may be a washing machine including at least one communication interface 1000; at least one processor 2000, such as a CPU; at least one memory 3000; at least one liquid contamination sensor 4000; at least one camera 5000; the communication interface 1000, the processor 2000, the memory 3000, the liquid contamination sensor 4000, and the camera 5000 are connected by a bus.
Those skilled in the art will appreciate that the washing machine configuration shown in fig. 5 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes the components of the washing machine with reference to fig. 5:
it should be understood that, in the embodiment of the present application, the communication interface 1000 may be an interface for communicating with a server, a cloud, and the like, and may include an NFC module, a bluetooth module, a wireless network card (including a network module such as a WiFi module), and the like, and the display screen 4000 may include a display (LCD, and the like), a touch panel, and the like.
The Processor 2000 may be a Central Processing Unit (CPU), and may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 3000 may include a read-only memory and a random access memory, and provides instructions and data to the processor 2000. A portion of the memory 3000 may also include non-volatile random access memory. For example, the memory 3000 may also store device type information.
Specifically, the processor 2000 invokes the program instructions stored in the memory 3000 to execute the following steps:
when the washing machine is detected to execute a washing strategy, controlling the camera to acquire image information of clothes in the washing machine;
acquiring image information and water contamination degree of clothes washed in a washing machine, and acquiring weight information and/or volume information of the clothes washed in the washing machine;
determining the clothes type and the dirty grade of the clothes to be washed according to the image information and the corresponding relation between the water dirty degree and the set clothes type and dirty grade;
adjusting washing parameters of the washing machine for the laundry according to the laundry type and the laundry dirtiness level in combination with the weight information and/or the volume information.
Alternatively, the washing machine may implement the corresponding steps performed by the washing machine in the method of the corresponding embodiment of fig. 2 and 3 through the processor 2000 and other devices. It should be understood that the embodiments of the present application are entity device embodiments corresponding to the method embodiments, and the description of the method embodiments also applies to the embodiments of the present application.
In one embodiment, a structural schematic diagram of a washing machine is also provided, as shown in fig. 6. The washing machine as shown in fig. 6 may include:
washing machine main part 601, washing machine drum 602, communication interface 603, operation display panel 604, laundry groove 605, weight sensor 606, integrated detection module 607, liquid dirty sensor 608, camera 609.
The top of the washing machine main body 601 is provided with a communication interface 603, an operation panel 604 and a laundry trough 605. The washing machine main body 601 is embedded with a washing machine drum 602, and the washing machine drum 602 can be embedded with a water inlet and drain device (not shown in fig. 6) and a liquid dirt sensor 608. The washing strategy of the washing machine can be executed and adjusted through the washing machine drum 602, and the water pollution degree in the drain pipe is detected through the liquid pollution sensor 608 to determine the washing effect.
The top of the washing machine drum 602 is provided with a weight sensor 606, the bottom of the washing machine drum is provided with an integrated detection module 607, the inner wall of the washing machine drum is provided with a camera 609, and the camera 609 has a glass waterproof jacket structure. The water level inside the drum is detected by the weight sensor 606 and the weight, volume, etc. of the laundry are estimated, and the image information of the laundry is collected by the camera 609 and transmitted to the processor.
The washing machine may further include a temperature sensor, a humidity sensor, and the like. The temperature sensor and the humidity sensor are used for collecting the temperature, the humidity and other information of the clothes washed in the roller and transmitting the information into the processor.
The operation display panel 604 may be used to display the currently executed washing strategy and adjust the washing strategy, in one embodiment, the operation display panel 604 may integrate a processor to control the whole data and the execution mechanism of the washing machine, or the washing machine drum 602 may integrate a processor, or the operation display panel 604 may integrate a decision processor to generate control instructions to control the whole data and the execution mechanism of the washing machine, and the washing machine drum 602 may integrate an execution processor to call other components to execute the control instructions. The washing machine main body 601 is internally provided with a wire and a plug pin to supply power to the whole washing machine.
Therefore, in the embodiment of the application, the washing machine acquires the image information of the laundry in the washing machine, acquires the water contamination degree, the weight information and/or the volume information of the laundry, determines the dirty level and the type of the laundry according to the water contamination degree and the image information of the laundry, and finally adjusts the washing parameters being executed by the washing machine according to the dirty level and the type of the laundry, so that the currently executed washing parameters are adjusted according to the conditions of the laundry with different dirty degrees, the washing parameters of the washing machine are better matched with the laundry, and the intelligence of the washing machine is improved.
In the embodiments shown in fig. 2 and 3, the method flows of the steps can be implemented based on the structure of the washing machine of fig. 5 and/or fig. 6.
In the embodiment shown in fig. 4, the functions of the modules may be implemented based on the structure of the washing machine of fig. 5 and/or 6.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the data transmission methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the data transmission methods as recited in the above method embodiments. The computer program product may be a software installation package.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the modules and units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some interfaces, and may be in an electrical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a form of hardware or a form of a software program module.
The integrated modules, if implemented in the form of software program modules and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (14)
1. A control method of a washing machine, characterized by comprising:
acquiring image information and water contamination degree of clothes washed in a washing machine, and acquiring weight information and/or volume information of the clothes washed in the washing machine;
determining the type of clothes and the dirty level of clothes according to the image information and the corresponding relationship between the water dirty degree and the set type of clothes and the set dirty level of clothes, comprising: extracting characteristic parameters of the clothes to be washed according to the image information of the clothes to be washed; obtaining the clothes type of the clothes to be washed according to the corresponding relation between the characteristic parameters of the clothes to be washed and the set clothes type; determining the laundry dirtiness grade of the laundry according to the corresponding relationship between the water pollution degree and the set laundry dirtiness grade; the washing machine can pre-collect image information of a plurality of clothes with different dirt degrees and different water dirt degree data by utilizing a deep learning algorithm, and perform data training on the image information of the plurality of clothes with different dirt degrees and the different water dirt degree data to obtain set clothes dirt levels and set clothes types corresponding to the image information and the water dirt degree respectively;
adjusting washing parameters of the washing machine for the laundry according to the laundry type and the laundry dirtiness level in combination with the weight information and/or the volume information.
2. The method of claim 1, wherein acquiring image information and a water contamination level of the laundry in the washing machine, and acquiring weight information and/or volume information of the laundry, comprises:
when the washing strategy executed by the washing machine is detected, acquiring image information and water turbidity degree of clothes in the washing machine, and acquiring weight information and/or volume information of the clothes in the washing machine, wherein the washing strategy is a preset clothes washing mode of the washing machine.
3. The method of claim 1 or 2, wherein the washing machine configures a network module and establishes a communication connection with a server through the network module, the method further comprising:
controlling the network module to detect whether an updated version exists for the washing machine in a server;
if yes, receiving a software update package generated by the server aiming at the update version;
and performing remote updating operation on the washing machine according to the software updating package.
4. The method of claim 1 or 2, wherein the washing parameters include any one or more of a rotation speed, a forward and reverse rotation switching frequency, a washing temperature, a washing time and/or a rinsing time;
adjusting washing parameters of the washing machine for the laundry in accordance with the laundry category and the laundry dirtiness level in combination with the weight information and/or the volume information, including;
adjusting the washing temperature and/or the forward and reverse rotation switching frequency according to the type of the clothes to be washed;
adjusting a rotational speed of the washing machine according to the laundry dirtiness level;
the washing time and/or the rinsing time is adjusted according to the weight information and/or the volume information of the laundry.
5. The method of claim 3, wherein the washing parameters include any one or more of a rotation speed, a forward and reverse switching frequency, a washing temperature, a washing time and/or a rinsing time;
adjusting washing parameters of the washing machine for the laundry in accordance with the laundry category and the laundry dirtiness level in combination with the weight information and/or the volume information, including;
adjusting the washing temperature and/or the forward and reverse rotation switching frequency according to the type of the clothes to be washed;
adjusting a rotational speed of the washing machine according to the laundry dirtiness level;
the washing time and/or the rinsing time is adjusted according to the weight information and/or the volume information of the laundry.
6. A control apparatus of a washing machine, characterized by comprising:
an acquisition unit for acquiring image information and water contamination level of laundry in the washing machine, and acquiring weight information and/or volume information of the laundry;
a control unit for determining the clothes type and dirty level of the clothes according to the image information and the corresponding relationship between the water dirt level and the set clothes type and dirty level, comprising: extracting characteristic parameters of the clothes to be washed according to the image information of the clothes to be washed; obtaining the clothes type of the clothes to be washed according to the corresponding relation between the characteristic parameters of the clothes to be washed and the set clothes type; determining the laundry dirtiness grade of the laundry according to the corresponding relationship between the water pollution degree and the set laundry dirtiness grade; the washing machine can pre-collect image information of a plurality of clothes with different dirt degrees and different water dirt degree data by utilizing a deep learning algorithm, and perform data training on the image information of the plurality of clothes with different dirt degrees and the different water dirt degree data to obtain set clothes dirt levels and set clothes types corresponding to the image information and the water dirt degree respectively;
the control unit is further configured to adjust washing parameters of the washing machine for the laundry according to the laundry type and the laundry dirtiness level in combination with the weight information and/or the volume information.
7. The apparatus of claim 6, wherein the acquiring unit acquires image information and a water contamination level of laundry in the washing machine, and acquires weight information and/or volume information of the laundry, comprising:
when the washing strategy executed by the washing machine is detected, acquiring image information and water turbidity degree of clothes in the washing machine, and acquiring weight information and/or volume information of the clothes in the washing machine, wherein the washing strategy is a preset clothes washing mode of the washing machine.
8. The apparatus of claim 6 or 7, wherein the washing machine is provided with a network module, and establishes a communication connection with a server through the network module;
the control unit is further used for controlling the network module to detect whether an updated version for the washing machine exists in the server;
the control unit is further used for receiving a software update package generated by the server aiming at the update version if the software update package exists;
the control unit is also used for carrying out remote updating operation on the washing machine according to the software updating package.
9. The apparatus of claim 6 or 7, wherein the washing parameters comprise any one or more of a rotation speed, a forward and reverse rotation switching frequency, a washing temperature, a washing time and/or a rinsing time;
the control unit adjusts washing parameters of the washing machine for the laundry according to the laundry type and the laundry dirtiness level in combination with the weight information and/or the volume information, including;
adjusting the washing temperature and/or the forward and reverse rotation switching frequency according to the type of the clothes to be washed;
adjusting a rotational speed of the washing machine according to the laundry dirtiness level;
the washing time and/or the rinsing time is adjusted according to the weight information and/or the volume information of the laundry.
10. The apparatus of claim 8, wherein the washing parameters include any one or more of a rotation speed, a forward and reverse rotation switching frequency, a washing temperature, a washing time and/or a rinsing time;
the control unit adjusts washing parameters of the washing machine for the laundry according to the laundry type and the laundry dirtiness level in combination with the weight information and/or the volume information, including;
adjusting the washing temperature and/or the forward and reverse rotation switching frequency according to the type of the clothes to be washed;
adjusting a rotational speed of the washing machine according to the laundry dirtiness level;
the washing time and/or the rinsing time is adjusted according to the weight information and/or the volume information of the laundry.
11. A washing machine, characterized by comprising: module for performing a method according to any of claims 1-5, or a control device of a washing machine according to any of claims 6-10.
12. A washing machine, characterized by comprising: a processor, a memory; the processor and the memory are connected with each other;
the memory for storing a computer program, the computer program comprising program instructions;
the processor is configured to call the program instructions to perform:
acquiring image information and water contamination degree of clothes washed in a washing machine, and acquiring weight information and/or volume information of the clothes washed in the washing machine;
determining the type of clothes and the dirty level of clothes according to the image information and the corresponding relationship between the water dirty degree and the set type of clothes and the set dirty level of clothes, comprising: extracting characteristic parameters of the clothes to be washed according to the image information of the clothes to be washed; obtaining the clothes type of the clothes to be washed according to the corresponding relation between the characteristic parameters of the clothes to be washed and the set clothes type; determining the laundry dirtiness grade of the laundry according to the corresponding relationship between the water pollution degree and the set laundry dirtiness grade; the washing machine can pre-collect image information of a plurality of clothes with different dirt degrees and different water dirt degree data by utilizing a deep learning algorithm, and perform data training on the image information of the plurality of clothes with different dirt degrees and the different water dirt degree data to obtain set clothes dirt levels and set clothes types corresponding to the image information and the water dirt degree respectively;
adjusting washing parameters of the washing machine for the laundry according to the laundry type and the laundry dirtiness level in combination with the weight information and/or the volume information.
13. The washing machine as claimed in claim 12, further comprising a communication interface interconnecting the processor and the memory;
the communication interface is used for detecting whether the server has an update version for the washing machine, receiving a software update package generated by the server for the update version if the update version exists, and performing remote update operation on the washing machine according to the software update package.
14. A computer-readable storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method according to any of claims 1-5.
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| CN111676668B (en) * | 2019-02-22 | 2023-11-03 | 无锡小天鹅电器有限公司 | Clothes treatment device, and drainage control method, device, equipment and storage medium thereof |
| CN112760858B (en) * | 2019-10-21 | 2023-10-24 | 阿里巴巴集团控股有限公司 | Method, equipment, system and storage medium for acquiring washing water parameters |
| CN110955166B (en) * | 2019-11-27 | 2021-12-21 | 上海达显智能科技有限公司 | Intelligent washing device based on image recognition and intelligent washing control method |
| CN111041771A (en) * | 2019-12-30 | 2020-04-21 | 海信集团有限公司 | Washing machine, self-adaptive washing method based on clothes dirt information and terminal |
| CN111254638A (en) * | 2020-03-10 | 2020-06-09 | 青岛海尔洗衣机有限公司 | Washing method and system |
| CN113622134B (en) * | 2020-05-09 | 2023-11-14 | 青岛海尔洗衣机有限公司 | Laundry control method, apparatus, device and storage medium |
| CN113957657B (en) * | 2020-07-21 | 2024-01-09 | 青岛海尔洗衣机有限公司 | Recommendation method, device and system for shared washing machine |
| CN114059272A (en) * | 2020-07-31 | 2022-02-18 | 青岛海尔洗衣机有限公司 | Control method of washing machine and washing machine |
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| US20140263308A1 (en) * | 2013-03-14 | 2014-09-18 | Bajer Design & Marketing, Inc. | Collapsible Hamper |
| CN106996007A (en) * | 2017-04-21 | 2017-08-01 | 无锡小天鹅股份有限公司 | Control method of washing and device |
| CN107541899A (en) * | 2017-08-23 | 2018-01-05 | 深圳市优品壹电子有限公司 | A kind of intelligent washing methods and washing machine |
| CN107447442B (en) * | 2017-08-31 | 2020-04-10 | 深圳市盛路物联通讯技术有限公司 | Alarm method based on image recognition technology and intelligent device |
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