CN112342737A - Clothes washing method based on intelligent clothes washing system, terminal device and storage medium - Google Patents
Clothes washing method based on intelligent clothes washing system, terminal device and storage medium Download PDFInfo
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- CN112342737A CN112342737A CN202010498332.2A CN202010498332A CN112342737A CN 112342737 A CN112342737 A CN 112342737A CN 202010498332 A CN202010498332 A CN 202010498332A CN 112342737 A CN112342737 A CN 112342737A
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- 238000005406 washing Methods 0.000 title claims abstract description 342
- 238000000034 method Methods 0.000 title claims abstract description 53
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 71
- 238000001035 drying Methods 0.000 claims description 47
- 230000018044 dehydration Effects 0.000 claims description 40
- 238000006297 dehydration reaction Methods 0.000 claims description 40
- 238000004140 cleaning Methods 0.000 claims description 18
- 238000012790 confirmation Methods 0.000 claims description 10
- 238000012935 Averaging Methods 0.000 claims description 4
- 238000009987 spinning Methods 0.000 claims description 3
- 238000010412 laundry washing Methods 0.000 claims 2
- 230000005611 electricity Effects 0.000 abstract description 12
- 230000005484 gravity Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 238000012546 transfer Methods 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 230000006835 compression Effects 0.000 description 2
- 238000007906 compression Methods 0.000 description 2
- 230000000903 blocking effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
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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
- D06F33/50—Control of washer-dryers characterised by the purpose or target of the control
- D06F33/52—Control of the operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
- D06F33/56—Control of the operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of washing
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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
- D06F33/50—Control of washer-dryers characterised by the purpose or target of the control
-
- 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
- D06F33/50—Control of washer-dryers characterised by the purpose or target of the control
- D06F33/52—Control of the operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
- D06F33/54—Control of the operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of water filling
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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
- D06F2105/00—Systems or parameters controlled or affected by the control systems of washing machines, washer-dryers or laundry dryers
- D06F2105/46—Drum speed; Actuation of motors, e.g. starting or interrupting
- D06F2105/48—Drum speed
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Abstract
The invention discloses a clothes washing method based on an intelligent clothes washing system, which comprises the steps of collecting a first clothes data set of clothes to be washed through the intelligent clothes washing system; determining a preset washing mode corresponding to the first clothes data set according to the first clothes data set; determining a laundry parameter according to the preset laundry mode and the first laundry data set; and controlling a preset washing device to clean the clothes to be cleaned according to the preset washing mode and the washing parameters. In addition, the invention also discloses a terminal device and a computer readable storage medium, the invention collects the clothes data of the clothes to be cleaned based on the intelligent clothes washing system, and then automatically determines the proper clothes washing mode without the need of very complicated clothes washing mode selection items of the user, thereby avoiding the condition of wasting water and electricity resources caused by the error of selecting the clothes washing mode by the user, not only improving the user experience, but also saving the water and electricity resources and greatly improving the clothes washing efficiency.
Description
Technical Field
The invention belongs to the technical field of intelligent equipment, and particularly relates to a clothes washing method based on an intelligent clothes washing system, terminal equipment and a computer readable storage medium.
Background
At present, smart homes develop as well as fierce, and a plurality of washing modes are also configured in advance for a plurality of existing washing devices.
However, in the actual washing operation performed in the face of a plurality of washing modes of the washing device, it is often difficult for a user to accurately select an accurate washing mode, and once the user selects a mode unsuitable for an actual washing requirement by mistake, the washing device operates according to the unsuitable mode, which causes unnecessary waste of water and electricity resources.
Therefore, how to automatically select an efficient washing mode for a user to carry out washing operation based on an intelligent washing system is a technical problem to be solved urgently in the industry.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a washing method based on an intelligent washing system, and aims to solve the technical problem that in the existing washing mode, a user is difficult to select an accurate washing mode for a washing device, so that the washing efficiency of the washing device is low.
In order to achieve the above object, the present invention provides a laundry method based on an intelligent laundry system, which includes:
acquiring a first garment data set of a garment to be cleaned;
determining a preset washing mode corresponding to the first clothes data set according to the first clothes data set;
determining a laundry parameter according to the preset laundry mode and the first laundry data set;
and controlling a preset washing device to clean the clothes to be cleaned according to the preset washing mode and the washing parameters.
Optionally, after the step of controlling a preset laundry device to wash the laundry to be washed according to the preset laundry mode and the laundry parameter, the method further includes:
generating a self-defined washing mode and a self-defined washing parameter according to the preset washing mode and the washing parameter;
after a cleaning instruction for cleaning new clothes to be cleaned is received, if a second clothes data set of the new clothes to be cleaned is the same as the first clothes data set, the preset clothes washing equipment is controlled to clean the new clothes to be cleaned according to the user-defined clothes washing mode and the user-defined clothes washing parameters.
Optionally, the first laundry data set includes a laundry quantity and a laundry weight, and the step of determining the preset washing pattern corresponding to the first laundry data includes:
if the number of the clothes is smaller than or equal to a preset number threshold value and the weight of the clothes is larger than a preset weight threshold value, determining that the preset washing mode is a major washing mode;
and if the number of the clothes is larger than the preset number threshold value and the weight of the clothes is smaller than or equal to the preset weight threshold value, determining that the preset washing mode is an air washing mode.
Optionally, the laundry parameters include rinsing times, water level, spinning speed, and drying heat supply amount,
the step of determining laundry parameters according to the preset laundry mode and the first laundry data set includes:
determining the rinsing times and the water level according to the first laundry data set;
and matching the dehydration rotation speed and the drying heat supply amount from preset cloud data according to the preset washing mode and the quantity of the clothes.
Optionally, the first laundry data set further comprises a laundry volume, and the step of determining the rinsing times and the water level according to the first laundry data set comprises:
determining the rinsing times as the laundry amount;
if the volume of the clothes is larger than a preset volume threshold value, determining that the water level is a first water level, and if the volume of the clothes is smaller than or equal to the preset volume threshold value, determining that the water level is a second water level, wherein the first water level is larger than the second water level.
Optionally, the step of matching the dehydration rotation speed and the drying heat supply amount from preset cloud data according to the preset washing pattern and the laundry amount comprises:
matching the initial dehydration rotating speed and the initial drying heat supply amount corresponding to the quantity of the clothes under the preset clothes washing model from the preset cloud data;
and averaging the dehydration initial rotation speed and the drying initial heat supply amount respectively to obtain the dehydration rotation speed and the drying heat supply amount.
Optionally, the step of controlling a preset laundry device to clean the laundry to be cleaned according to the preset laundry mode and the laundry parameter includes:
displaying the preset washing mode and the washing parameters, and receiving an execution instruction;
and controlling the preset washing equipment to clean the clothes to be cleaned according to the execution instruction.
Optionally, the execution instruction includes a confirmation instruction and an adjustment instruction, and the step of controlling the preset laundry device to clean the laundry according to the execution instruction includes:
if the execution instruction is a confirmation instruction, controlling the preset washing equipment to wash the clothes to be washed according to the preset washing mode and the washing parameters;
and if the execution instruction is an adjustment instruction, reading the adjusted washing parameters carried by the adjustment instruction, and controlling the preset washing equipment to wash the clothes to be washed according to the preset washing mode and the adjusted washing parameters.
In addition, to achieve the above object, the present invention also provides a terminal device, including: the intelligent washing system based washing program is stored in the memory and can be operated on the processor, and when being executed by the processor, the intelligent washing system based washing program realizes the steps of the intelligent washing system based washing method.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, wherein the computer readable storage medium stores a laundry program based on an intelligent laundry system, and the laundry program based on the intelligent laundry system, when executed by a processor, implements the steps of the laundry method based on the intelligent laundry system as described above.
The embodiment of the invention provides a washing method based on an intelligent washing system, a terminal device and a computer readable storage medium, wherein a first clothes data set of clothes to be washed is collected through the intelligent washing system; determining a preset washing mode corresponding to the first clothes data set according to the first clothes data set; determining a laundry parameter according to the preset laundry mode and the first laundry data set; and controlling a preset washing device to clean the clothes to be cleaned according to the preset washing mode and the washing parameters.
According to the intelligent washing method and system, first clothes data of clothes to be washed placed in preset washing equipment by a user are collected through an intelligent washing system, then a preset washing mode corresponding to the first clothes data is automatically determined, washing parameters of the preset washing equipment for washing the clothes to be washed at present are matched according to the preset washing mode and the first clothes data, and finally the preset washing equipment is controlled to directly run according to the washing parameters after the washing parameters are determined, so that the washing of the clothes to be washed is completed.
The intelligent laundry system acquires the clothes data of the clothes to be cleaned based on the intelligent laundry system, and then automatically determines the proper laundry mode, so that a user does not need to perform complicated laundry mode selection items, the condition that water and electricity resources are wasted due to the fact that the user selects the laundry mode wrongly is avoided, the user experience is improved, the water and electricity resources wasted by the conventional laundry mode are saved, the intelligent laundry system also matches the most preferable laundry parameters for the laundry equipment to clean the clothes to be cleaned currently according to the determined laundry mode and the clothes data, the laundry equipment can operate according to the laundry parameters, and the laundry efficiency is improved to the great extent.
Drawings
Fig. 1 is a schematic structural diagram of a terminal device in a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a first embodiment of a laundry method based on an intelligent laundry system according to the present invention;
fig. 3 is a detailed flowchart of step S20 in an embodiment of the intelligent laundry system based laundry method according to the present invention;
fig. 4 is a detailed flowchart of step S40 in an embodiment of the intelligent laundry system based laundry method according to the present invention;
fig. 5 is a schematic flow chart of another embodiment of a laundry method based on an intelligent laundry system according to the present invention;
fig. 6 is a schematic diagram of hardware modules of an intelligent laundry system according to a laundry method based on the intelligent laundry system.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: acquiring a first clothes data set of clothes to be washed through an intelligent washing system; determining a preset washing mode corresponding to the first clothes data set according to the first clothes data set; determining a laundry parameter according to the preset laundry mode and the first laundry data set; and controlling a preset washing device to clean the clothes to be cleaned according to the preset washing mode and the washing parameters.
In the prior art, when a user carries out actual washing operation in the face of a plurality of washing modes of washing equipment, it is often difficult to accurately select an accurate washing mode, and once the user selects a mode which is not suitable for actual washing requirements by mistake to carry out washing operation, the washing equipment operates according to the unsuitable mode, so that unnecessary waste of water and electricity resources is caused.
The invention provides a solution, which solves the technical problem that the washing efficiency of the washing equipment is low because a user difficultly selects an accurate washing mode for the washing equipment in the conventional washing mode; the intelligent laundry system has the advantages that the clothes data of clothes to be cleaned are collected based on the intelligent laundry system, and then the appropriate laundry mode is automatically determined, so that the user is not required to select very complicated laundry mode selection items, the condition that water and electricity resources are wasted due to the fact that the user selects the laundry mode wrongly is avoided, user experience is improved, the water and electricity resources wasted by the existing laundry mode are saved, the intelligent laundry system further matches the laundry equipment to clean the clothes to be cleaned at present according to the determined laundry mode and the clothes data, the most preferable laundry parameters are cleaned by the laundry equipment, the laundry equipment runs according to the laundry parameters, and the laundry efficiency is improved to the greatest extent.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a terminal device in a hardware operating environment according to an embodiment of the present invention.
The terminal device in the embodiment of the present invention may also be a display terminal device having a display function, such as a PC, a smart phone, a tablet PC, an e-book reader, an MP3(Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3) player, an MP4(Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 3) player, a portable computer, or the like.
As shown in fig. 1, the terminal device may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include an input unit such as a keypad (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal device configuration shown in fig. 1 is not intended to be limiting of the terminal device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a smart laundry system-based laundry program.
In the terminal device shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call the intelligent laundry system-based laundry program stored in the memory 1005, and perform the following operations:
acquiring a first garment data set of a garment to be cleaned;
determining a preset washing mode corresponding to the first clothes data set according to the first clothes data set;
determining a laundry parameter according to the preset laundry mode and the first laundry data set;
and controlling a preset washing device to clean the clothes to be cleaned according to the preset washing mode and the washing parameters.
Further, after the step of controlling a preset laundry device to clean the laundry to be cleaned according to the preset laundry mode and the laundry parameter, the method further includes:
generating a self-defined washing mode and a self-defined washing parameter according to the preset washing mode and the washing parameter;
after a cleaning instruction for cleaning new clothes to be cleaned is received, if a second clothes data set of the new clothes to be cleaned is the same as the first clothes data set, the preset clothes washing equipment is controlled to clean the new clothes to be cleaned according to the user-defined clothes washing mode and the user-defined clothes washing parameters.
Further, the first laundry data set includes a laundry amount and a laundry weight, and the step of determining the preset washing pattern corresponding to the first laundry data includes:
if the number of the clothes is smaller than or equal to a preset number threshold value and the weight of the clothes is larger than a preset weight threshold value, determining that the preset washing mode is a major washing mode;
and if the number of the clothes is larger than the preset number threshold value and the weight of the clothes is smaller than or equal to the preset weight threshold value, determining that the preset washing mode is an air washing mode.
Further, the laundry parameters include rinsing times, water level, spinning speed, and drying heat supply amount, and the determining of the laundry parameters according to the preset laundry mode and the first laundry data set includes:
determining the rinsing times and the water level according to the first laundry data set;
and matching the dehydration rotation speed and the drying heat supply amount from preset cloud data according to the preset washing mode and the quantity of the clothes.
Further, the first laundry data set further includes a laundry volume, and the step of determining the rinsing times and the water level according to the first laundry data set includes:
determining the rinsing times as the laundry amount;
if the volume of the clothes is larger than a preset volume threshold value, determining that the water level is a first water level, and if the volume of the clothes is smaller than or equal to the preset volume threshold value, determining that the water level is a second water level, wherein the first water level is larger than the second water level.
Further, the step of matching the dehydrating rotation speed and the drying heat supply amount from preset cloud data according to the preset washing pattern and the laundry amount includes:
matching the initial dehydration rotating speed and the initial drying heat supply amount corresponding to the quantity of the clothes under the preset clothes washing model from the preset cloud data;
and averaging the dehydration initial rotation speed and the drying initial heat supply amount respectively to obtain the dehydration rotation speed and the drying heat supply amount.
Further, the step of controlling a preset laundry device to clean the laundry to be cleaned according to the preset laundry mode and the laundry parameter includes:
displaying the preset washing mode and the washing parameters, and receiving an execution instruction;
and controlling the preset washing equipment to clean the clothes to be cleaned according to the execution instruction.
Further, the executing instruction includes a confirmation instruction and an adjustment instruction, and the step of controlling the preset laundry device to clean the laundry to be cleaned according to the executing instruction includes:
if the execution instruction is a confirmation instruction, controlling the preset washing equipment to wash the clothes to be washed according to the preset washing mode and the washing parameters;
and if the execution instruction is an adjustment instruction, reading the adjusted washing parameters carried by the adjustment instruction, and controlling the preset washing equipment to wash the clothes to be washed according to the preset washing mode and the adjusted washing parameters.
Based on the hardware structure, the invention provides various embodiments of the washing method based on the intelligent washing system.
It should be noted that the washing method based on the intelligent washing system of the present invention is applied to the intelligent washing system, and the intelligent washing system includes a CPU (central processing module), a 1-prejudged washing type module, a 2-dynamic washing mode algorithm module, and a 3-display efficient washing mode module as shown in fig. 6, it should be understood that, based on the difference of the actual application scene or the use requirement, other washing systems different from the above-mentioned hardware modules in number or type may be adopted, and the washing method based on the intelligent washing system of the present invention does not limit the hardware modules in number or type of the applied intelligent washing system.
Referring to fig. 2, in a first embodiment of the laundry method based on the intelligent laundry system of the present invention, the laundry method based on the intelligent laundry system includes:
step S10, a first laundry data set of laundry to be washed is acquired.
A first clothes data set of clothes to be washed, which a user currently needs to wash, is collected based on an intelligent laundry system.
It should be noted that, in the present embodiment, the first laundry data set based on the laundry to be cleaned collected by the intelligent laundry system includes, but is not limited to: number of laundry, laundry weight, and laundry volume.
Specifically, for example, after a user places clothes to be cleaned, which need to be cleaned, in a laundry device in which the above-mentioned intelligent laundry system is pre-installed, the intelligent laundry system first calls a 1-prejudged laundry type module, captures an image of the inserted clothes to be cleaned and identifies and calculates the number of the clothes by using an image capture device pre-installed on the laundry device, and captures the entire weight of the clothes to be cleaned by using a gravity sensor pre-installed on the laundry device, and detects the volume of the inserted clothes to be cleaned by using an infrared scanning device pre-installed on the laundry device, wherein, when detecting the volume of the clothes by using the infrared scanning device, if the infrared scanning device detects that the scanned space (a laundry chamber space of the laundry device) has no infrared ray blocking feedback (the infrared ray emitted in the scanned space is not blocked), determining that the volume of clothes of the current clothes to be cleaned is zero, that is, the user does not put the clothes to be cleaned at the moment, if the infrared scanning device detects that half of the infrared ray shielding feedback appears in the scanned space (half of the infrared ray emitted in the scanned space is shielded), determining that the volume of the clothes of the current clothes to be cleaned is one half of the volume of the space of the washing chamber of the washing equipment, and if the infrared scanning device detects that all the infrared ray shielding feedback appears in the scanned space (all the infrared rays emitted in the scanned space are shielded), determining that the volume of the clothes of the current clothes to be cleaned is the volume of the space of the washing chamber of the washing equipment.
Further, in another embodiment, the intelligent laundry system may further receive a first laundry data set of the laundry to be washed, which is autonomously input by the user, through a pre-connected data input device.
Specifically, for example, the intelligent laundry system is connected to a data input module installed on the laundry device in advance, then, when a user puts laundry to be cleaned into the laundry device, the user is prompted to input data such as the number of the laundry, the weight of the laundry, and the volume of the laundry, and when the user does not clearly know the volume of the laundry or the weight of the laundry in advance, the user may not input the data, and then the intelligent laundry system automatically performs collection by using a gravity sensor and an infrared scanning device based on detection of the volume of the laundry or the weight of the laundry not input by the user.
Step S20, determining a preset washing pattern corresponding to the first laundry data according to the first laundry data set.
It should be noted that, in this embodiment, the preset laundry mode includes, but is not limited to, a major laundry mode and an air laundry mode, and it should be understood that, based on different practical application scenarios or different use requirements, the preset laundry mode may also include names and types of the major laundry mode and the air laundry mode different from those proposed in this embodiment, and the specific names and types of the preset laundry mode are not limited by the laundry method based on the intelligent laundry system in the present invention.
After acquiring the first laundry data set, such as the number of clothes, the weight of clothes, and the volume of clothes, of the laundry to be cleaned based on the intelligent laundry system, the intelligent laundry system further preliminarily determines whether the current laundry device should use the large laundry mode or the air laundry mode when cleaning the laundry to be cleaned according to the number of clothes, the weight of clothes, and the volume of clothes.
Further, referring to fig. 3, as an embodiment, the step S20 may include:
step S201, if the number of the clothes is smaller than or equal to a preset number threshold value and the weight of the clothes is larger than a preset weight threshold value, determining that the preset washing mode is a major washing mode;
when the number of the clothes collected by the intelligent laundry system is smaller than or equal to the preset number threshold value but the weight of the clothes to be washed is larger than the preset weight threshold value, it is preliminarily determined that a large laundry mode should be used when the current laundry device washes the clothes to be washed.
It should be noted that, in this embodiment, the preset number threshold may be specifically set to 3 pieces, the preset weight threshold may be specifically set to a washing bin of the washing device, and when the washing device is full of the clothes to be washed, the preset number threshold and the preset weight threshold may be set to other values based on different practical application scenarios or different use requirements.
Specifically, for example, if the intelligent laundry system calls the 1-prejudged laundry type module to use the image capture device to capture an image of laundry to be washed put into the laundry device by a user, and recognizes that the number of the laundry to be washed is exactly 3, and also calls the 1-prejudged laundry type module to use the gravity sensor to capture the weight of the whole laundry to be washed, which is greater than one-half of the weight of the laundry to be washed when the laundry chamber of the laundry device is filled with the laundry to be washed, the 1-prejudged laundry type module preliminarily determines that the current laundry device should use a large laundry mode when washing the laundry to be washed.
Further, in another embodiment, the preset washing mode further includes a normal washing mode, and if the number of the clothes collected by the intelligent washing system is less than or equal to the preset number threshold and the weight of the clothes to be washed is less than or equal to the preset weight threshold, it may be preliminarily determined that the current washing device should be used when washing the clothes to be washed.
Specifically, for example, if the intelligent laundry system calls the 1-prejudged laundry type module to capture an image of laundry to be washed put into the laundry device by the user using the image capture device, and recognizes that the number of the laundry to be washed is exactly 3, and also calls the 1-prejudged laundry type module to capture the entire weight of the laundry to be washed by the gravity sensor, which is less than half of the weight of the laundry to be washed when the laundry chamber of the laundry device is filled with the laundry to be washed, the 1-prejudged laundry type module preliminarily determines that the current laundry device should use the normal laundry mode when washing the laundry to be washed.
Step S202, if the number of the clothes is larger than the preset number threshold value and the weight of the clothes is smaller than or equal to the preset weight threshold value, determining that the preset washing mode is an air washing mode;
when the number of the clothes collected by the intelligent washing system to be washed is larger than the preset number threshold value, but the weight of the clothes to be washed is smaller than or equal to the preset weight threshold value, it is preliminarily determined that a large washing mode should be used when the current washing equipment washes the clothes to be washed.
Specifically, for example, if the intelligent laundry system calls the 1-prejudged laundry type module to use the image capture device to capture an image of laundry to be washed put into the laundry device by a user, and recognizes and calculates that the number of the laundry to be washed is 5, and also calls the 1-prejudged laundry type module to use the gravity sensor to capture the weight of the whole laundry to be washed, which is less than one-half of the weight of the laundry to be washed when the laundry chamber of the laundry device is filled with the laundry to be washed, the 1-prejudged laundry type module preliminarily determines that the current laundry device should use the air laundry mode when washing the laundry to be washed.
Further, in another embodiment, if the number of the clothes collected by the intelligent laundry system is greater than the preset number threshold and the weight of the clothes to be washed is also greater than the preset weight threshold, it may be preliminarily determined that the current laundry device should use the normal laundry mode when washing the clothes to be washed.
Specifically, for example, if the intelligent laundry system calls the 1-prejudged laundry type module to use the image capture device to capture an image of laundry to be washed put into the laundry device by a user, and recognizes that the number of the laundry to be washed is exactly 5, and also calls the 1-prejudged laundry type module to use the gravity sensor to capture the weight of the whole laundry to be washed, which is equal to one-half of the weight of the laundry to be washed when the laundry chamber of the laundry device is filled with the laundry to be washed, the 1-prejudged laundry type module preliminarily determines that the current laundry device should use the normal laundry mode when washing the laundry to be washed.
Step S30, determining washing parameters according to the preset washing pattern and the first laundry data set.
After the intelligent laundry system preliminarily determines that the current laundry device is used for cleaning the clothes to be cleaned and whether a large piece laundry mode or an air laundry mode should be used, the intelligent laundry system is matched with laundry parameters which can be adopted when the laundry device is used for cleaning the clothes to be cleaned under the condition that the large piece laundry mode or the air laundry mode is determined.
It should be noted that, in the present embodiment, the laundry parameters include, but are not limited to: the washing method based on the intelligent washing system does not limit the specific number, type and the like of the matched washing parameters.
Specifically, for example, when the intelligent laundry system calls the 1-prejudge laundry type module to preliminarily determine that the current laundry device should use the large laundry mode or the air laundry mode when washing the laundry to be cleaned, the intelligent laundry system further calls the 2-dynamic laundry mode algorithm module to match the current laundry device with the large laundry mode or the air laundry mode, and when washing the laundry to be cleaned put in by the user, the laundry parameters such as the rinsing times, the water level, the dehydration rotation speed, and the drying heat supply amount of the operation may be referred to.
And step S40, controlling a preset washing device to wash the clothes to be washed according to the preset washing mode and the washing parameters.
It should be noted that, in this embodiment, the preset laundry device is a laundry device into which the user puts the laundry to be cleaned when the user needs to clean the laundry.
When the intelligent washing system is matched with the washing equipment, and under the condition that the large piece washing mode or the air washing mode is determined, after the washing parameters which can be adopted when the washing equipment washes the clothes to be washed, the preset washing equipment which is put into the clothes to be washed by a user is directly controlled, and the large piece washing mode or the air washing mode is operated according to the determined washing parameters so as to wash the clothes to be washed.
Further, referring to fig. 5, in another embodiment, after the step S40, controlling a preset laundry device to wash the laundry according to the preset laundry mode and the laundry parameter, the laundry method based on the intelligent laundry system of the present invention may further include:
and step S50, generating a self-defined washing mode and self-defined washing parameters according to the preset washing mode and the washing parameters.
After the intelligent washing system is matched with the washing equipment to determine the washing parameters which can be adopted when the washing equipment washes clothes to be washed under the condition of determining a large piece washing mode or an air washing mode, the intelligent washing system automatically generates a self-defined washing mode which can be directly determined and executed by the washing equipment by combining the collected first clothes data set of the clothes to be washed and the washing parameters.
Specifically, for example, after the intelligent laundry system calls the 1-prejudge laundry type module to preliminarily determine that the current laundry device should use a large laundry mode when washing the laundry to be cleaned, and further calls the 2-dynamic laundry mode algorithm module, and matches the current laundry device with the laundry parameters such as rinsing times, water level, dehydration rotation speed, and drying heat supply amount that can be referred to when the large laundry mode is used to wash the laundry to be cleaned put in by the user, the intelligent laundry system combines the laundry parameters such as the rinsing times, the water level, the dehydration rotation speed, and the drying heat supply amount, and the number of the laundry to be cleaned, the weight of the laundry, and the volume of the laundry to be cleaned put in by the current user, which are collected by the image collecting device, the gravity sensor, and the infrared scanning device in advance, and automatically generates a new laundry to be put in by the user to be washed in the subsequent washing process for the current laundry device, and directly determining and operating a self-defined washing mode.
Step S60, after receiving a cleaning instruction for cleaning a new laundry, if the second laundry data set of the new laundry is the same as the first laundry data set, controlling the preset laundry device to clean the new laundry according to the custom laundry mode and the custom laundry parameter.
It should be noted that, in this embodiment, the new clothes to be cleaned is clothes that are put into the laundry device by the user in a subsequent scene that the clothes need to be cleaned, and the second clothes data set also includes, but is not limited to: number of laundry, laundry weight, and laundry volume.
After the intelligent laundry system is combined with a determined large laundry mode or an air laundry mode, a collected first clothes data set and laundry parameters of clothes to be cleaned, after a user-defined laundry mode which can be directly determined to be executed by laundry equipment is automatically generated, if the intelligent laundry system detects that a user puts a second clothes data set of new clothes to be cleaned into the laundry equipment in a subsequent scene needing to clean the clothes, the user-defined laundry mode is directly determined for the laundry equipment when the second clothes data set is the same as the first clothes data set according to which the user-defined laundry mode is generated, and after a cleaning instruction for cleaning the new clothes to be cleaned based on the user-defined laundry mode is received, the laundry equipment is controlled to operate according to the laundry parameters according to which the user-defined laundry mode is generated, so that the new clothes to be cleaned which are put into the user are cleaned.
Specifically, for example, after the intelligent laundry system automatically and directly generates a customized laundry mode which can be directly determined and operated for the current laundry device in combination with the matched laundry parameters such as rinsing times, water level, dehydration rotation speed and drying heat supply amount, and the pre-collected laundry quantity, laundry weight and laundry volume of the laundry to be cleaned put in by the current user under the determined large laundry mode or air laundry mode, the user subsequently puts the new laundry to be cleaned which needs to be cleaned into the current laundry device, and the intelligent laundry system again uses the image collecting device, the gravity sensor and the infrared scanning device, and the collected laundry quantity, laundry weight and laundry volume of the new laundry to be cleaned put in by the user are all the same as the laundry quantity, laundry weight and laundry volume according to which the customized laundry mode is generated, and directly determining the self-defined washing mode as an operation mode for cleaning the new clothes to be cleaned for the current washing equipment, then displaying the self-defined washing mode to a user, and controlling the current washing equipment to start to operate to clean the new clothes to be cleaned according to washing parameters such as rinsing times, water level, dehydration rotating speed and drying heat supply amount according to the generated self-defined washing mode after detecting that the user triggers a cleaning instruction for cleaning the new clothes to be cleaned based on the self-defined washing mode.
In this embodiment, after the first laundry data set of the laundry to be cleaned, which is currently required to be cleaned by the user, is acquired based on the intelligent laundry system, and the first laundry data set of the number of the laundry to be cleaned, the weight of the laundry, and the volume of the laundry is acquired based on the intelligent laundry system, the intelligent laundry system further preliminarily determines, according to the number of the laundry, the weight of the laundry, and the volume of the laundry, whether a large-piece laundry mode or an air laundry mode should be used when the current laundry device cleans the laundry to be cleaned, and after the intelligent laundry system preliminarily determines that the current laundry device cleans the laundry to be cleaned, and whether the large-piece laundry mode or the air laundry mode should be used, based on the intelligent laundry system matching the laundry device, determines the laundry parameters that the laundry device can adopt when cleaning the laundry to be cleaned in the large-piece laundry mode or the air, and directly controlling a user to put in the preset washing equipment of the clothes to be cleaned, and operating a large piece washing mode or an air washing mode according to the determined washing parameters so as to clean the clothes to be cleaned.
The intelligent laundry system has the advantages that the clothes data of clothes to be cleaned are collected based on the intelligent laundry system, and then the appropriate laundry mode is automatically determined, so that the user is not required to select very complicated laundry mode selection items, the condition that water and electricity resources are wasted due to the fact that the user selects the laundry mode wrongly is avoided, user experience is improved, the water and electricity resources wasted by the existing laundry mode are saved, the intelligent laundry system further matches the laundry equipment to clean the clothes to be cleaned at present according to the determined laundry mode and the clothes data, the most preferable laundry parameters are cleaned by the laundry equipment, the laundry equipment is operated according to the laundry parameters, and the laundry efficiency is improved to the greatest extent.
Based on the first embodiment, the second embodiment of the washing method based on the intelligent washing system is proposed, and in the second embodiment of the washing method based on the intelligent washing system, the washing parameters include, but are not limited to: the determining of the washing parameters according to the preset washing pattern and the first laundry data set in step S30 may include:
step S301, determining the rinsing times and the water level according to the first laundry data set.
The intelligent washing system determines the rinsing times and the water level in the washing parameters adopted by the washing equipment to wash the clothes to be washed according to the collected first clothes data set of the clothes to be washed in the large piece washing mode or the air washing mode for washing the clothes to be washed by the preliminarily determined washing equipment.
Further, in an embodiment, the first data set of the laundry to be cleaned further includes a laundry volume, and the step S301 may include:
step S3011, determining the number of times of rinsing as the number of laundry;
the intelligent washing system directly determines the number of the collected clothes to be washed as the rinsing times of the washing equipment which should be operated for the clothes to be washed.
Specifically, for example, when the intelligent laundry system calls the 1-prejudging laundry type module to capture an image of laundry to be washed put into the laundry device by the user using the image capture device, and recognizes that the number of the laundry to be washed is 3, it is directly determined that the laundry should be rinsed three times when the current laundry device is in operation.
Step S3012, if the volume of the laundry is greater than a preset volume threshold, determining that the water level is a first water level, and if the volume of the laundry is less than or equal to the preset volume threshold, determining that the water level is a second water level, where the first water level is greater than the second water level.
If the intelligent washing system detects that the volume of the collected clothes to be washed is larger than a preset volume threshold, directly determining that the first water level is used by the clothes equipment for the clothes to be washed; and if the intelligent washing system detects that the volume of the collected clothes to be washed is less than or equal to a preset volume threshold, the second water level which is used by the clothes equipment for washing the clothes to be washed is directly determined.
It should be noted that, in this embodiment, the first water level may be specifically set as the maximum water level of the laundry device, and the first water level may be specifically set as one half of the maximum water level of the laundry device; the preset volume threshold may be specifically set to be one-half of the space volume of the laundry bin of the laundry device, it should be understood that, based on the difference between the type of the laundry device, the actual application scenario or the use requirement, the preset volume threshold may also be set to other values, and the specific value of the preset volume threshold is not limited by the laundry method based on the intelligent laundry system of the present invention.
Specifically, for example, when the intelligent laundry system calls the 1-prejudging laundry type module to detect that the volume of the clothes to be cleaned put in by the user is greater than one-half of the space volume of the laundry chamber of the current laundry device by using the infrared scanning device pre-installed on the laundry device, it is determined that the maximum water level of the current laundry device should be used when the current laundry device is operated to clean the clothes to be cleaned;
or, the 1-prejudging washing type module is called in the intelligent washing system, and the infrared scanning device pre-installed on the washing equipment is utilized to detect that the volume of clothes to be washed put in by a user is smaller than one half of the space volume of the washing chamber of the current washing equipment or is exactly equal to one half of the space volume of the washing chamber of the current washing equipment, and then the fact that one half of the maximum water level of the current washing equipment is used when the current washing equipment runs to wash the clothes to be washed is determined.
Step S302, according to the preset clothes washing mode and the quantity of the clothes, the dehydration rotating speed and the drying heat supply quantity are matched from preset cloud data.
After the preliminarily determined washing equipment washes the clothes to be washed by using a large clothes washing mode or an air clothes washing mode, the intelligent clothes washing system matches the dehydration rotation speed and the drying heat supply quantity in the clothes washing parameters adopted when the washing equipment washes the clothes to be washed from the preset cloud data according to the quantity of the clothes in the collected first clothes data set of the clothes to be washed, and the preliminarily determined large clothes washing mode and the air clothes washing mode.
It should be noted that, in this embodiment, the preset cloud data may specifically be a cloud service platform connected to the intelligent laundry system, and record data such as the dehydration rotation speed and the drying heat supply amount actively selected by a large number of users when using laundry equipment to wash laundry with different laundry quantities in a corresponding large laundry mode or an air laundry mode.
Further, in an embodiment, the step S302 may include:
step S3021, matching an initial dehydration rotation speed and an initial drying heat supply amount corresponding to the number of the laundry in the preset laundry model from the preset cloud data;
the intelligent washing system detects the dewatering initial rotating speed and the drying initial heat supply quantity in the washing parameters when the plurality of washing equipment in the related records wash the clothes to be washed in the same large piece washing mode or the air washing mode from the preset cloud data.
Specifically, for example, the intelligent laundry system calls a 1-prejudging laundry type module to identify and calculate the number of the clothes to be cleaned to be 3 pieces by using the image acquisition device, then the intelligent laundry system calls a 2-dynamic laundry mode algorithm module, a large laundry mode (or air laundry mode) and the number-3 of the clothes which are used for preliminarily determining that the current laundry equipment is used for washing the clothes to be washed are sent to a cloud service platform which is connected with the intelligent laundry system in advance, when a large number of users record that the number of the clothes to be washed by the laundry equipment is 3 under the large laundry mode (or air laundry mode), and matching three initial dewatering rotation speeds and three initial drying heat supply amounts which are arranged in the first three in the data such as the actively selected dewatering rotation speed, the actively selected drying heat supply amount and the like.
Step S3022, averaging the dehydration initial rotation speed and the drying initial heat supply amount to obtain the dehydration rotation speed and the drying heat supply amount, respectively.
Specifically, for example, the intelligent laundry system calls a 2-dynamic laundry mode algorithm module, averages the three initial dehydration rotation speeds arranged in the first three obtained by matching with the cloud service platform to obtain an average dehydration rotation speed, and determines the average dehydration rotation speed as the dehydration rotation speed that should be used when the current laundry device is operated to wash clothes to be washed; and the intelligent laundry system calls a 2-dynamic laundry mode algorithm module, averages the three drying initial heat supplies arranged in the first three obtained by matching of the cloud service platform to obtain an average drying heat supply, and determines the average drying heat supply as the drying heat supply which should be used when the current laundry equipment operates to clean the clothes to be cleaned.
In this embodiment, the intelligent laundry system determines the rinsing times and the water level in the laundry parameters adopted by the laundry device to wash the laundry according to the collected first laundry data set of the laundry to be washed in the preliminarily determined large laundry mode or air laundry mode for washing the laundry by the laundry device, and matches the dehydration rotation speed and the drying heat supply amount in the laundry parameters adopted by the laundry device to wash the laundry from the preset cloud data according to the collected quantity of the laundry in the first laundry data set of the laundry to be washed and the preliminarily determined large laundry mode and air laundry mode.
The washing method and the washing device have the advantages that the most preferable washing parameters are further matched with the washing device to wash the clothes to be washed according to the preliminarily determined washing mode and the clothes data, so that the washing device can run according to the washing parameters, the washing degree of the clothes is ensured, unnecessary waste of the washing device to water and electricity resources is avoided, and the washing efficiency is improved to the greatest extent.
Based on the first embodiment, a third embodiment of the washing method based on the intelligent washing system of the present invention is provided, referring to fig. 4, in the third embodiment of the washing method based on the intelligent washing system of the present invention, the step S40 of controlling the preset washing device to wash the laundry to be washed according to the preset washing mode and the washing parameters may include:
and S401, displaying the preset washing mode and the washing parameters, and receiving an execution instruction.
When the intelligent washing system is matched with the washing equipment, under the condition that the large washing mode or the air washing mode is determined and after the washing equipment washes clothes to be washed, the washing parameters which can be adopted by the washing equipment, the intelligent washing system outputs the determined large washing mode or the air washing mode and the matched washing parameters to be displayed facing a user, receives an execution instruction for the user to check the washing parameters and feed back and instruct the washing equipment to run based on the displayed washing parameters, or receives an execution instruction which is automatically generated after the preset time length of the washing parameters is displayed.
Specifically, for example, after the intelligent laundry system calls a 1-prejudge laundry type module to preliminarily determine that the current laundry device should use a large laundry mode when washing the laundry to be cleaned, and further calls a 2-dynamic laundry mode algorithm module, and matches the current laundry device with laundry parameters such as rinsing times, water level, dehydration rotation speed, and drying heat supply amount which can be referred to when the large laundry mode is used to wash the laundry to be cleaned put in by a user, the intelligent laundry system calls a 3-show high-efficiency laundry mode module to transfer the preliminarily determined large laundry mode and the matched laundry parameters such as the rinsing times, water level, dehydration rotation speed, and drying heat supply amount to the current laundry device, and controls the current laundry device to pass through a preset display panel or speaker device, and uniformly displaying or broadcasting the washing parameters such as the rinsing times, the water level, the dehydration rotating speed, the drying heat supply quantity and the like by voice item by item to a user.
Further, in another embodiment, the intelligent laundry system may further call a 3-display efficient laundry mode module, transmit the preliminarily determined large laundry mode and the laundry parameters such as the rinsing times, the water level, the dehydration rotation speed, the drying heat supply amount obtained by matching to the mobile terminal device connected to the current laundry device, and display the laundry parameters such as the rinsing times, the water level, the dehydration rotation speed, the drying heat supply amount to the user through a front-end screen or a speaker port of the mobile terminal device.
And step S402, controlling the preset washing equipment to clean the clothes to be cleaned according to the execution instruction.
After the intelligent laundry system outputs and shows the laundry parameters to a user, an execution instruction which indicates the laundry equipment to operate and is fed back by the user based on the displayed laundry parameters is obtained, and then the laundry equipment is controlled to operate according to the final laundry parameters determined by the execution instruction so as to clean the clothes to be cleaned.
It should be noted that, in this embodiment, the user feeds back the execution instruction based on the displayed laundry parameter, including a confirmation instruction and an adjustment instruction for the displayed laundry parameter.
Further, in one embodiment, step S402 includes:
step S4021, if the execution instruction is a confirmation instruction, controlling the preset washing equipment to wash the clothes to be washed according to the preset washing mode and the washing parameters;
specifically, for example, the intelligent laundry system calls a 3-display efficient laundry mode module, transfers the laundry parameters such as the rinsing times, the water level, the dehydration rotation speed and the drying heat supply amount obtained by matching to the current laundry device, controls the current laundry device to uniformly display the laundry parameters to the user through a preset display panel, detects a command frame of 'confirmation command' preset by the user based on the display panel, and immediately and directly controls the current laundry device to run a large laundry mode preliminarily determined according to the laundry parameters such as the rinsing times, the water level, the dehydration rotation speed and the drying heat supply amount when triggering the confirmation command for confirming the displayed laundry parameters, so as to clean the laundry put in by the user.
Step S4022, if the execution instruction is an adjustment instruction, reading the adjusted washing parameters carried by the adjustment instruction, and controlling the preset washing equipment to clean the clothes to be cleaned according to the preset washing mode and the adjusted washing parameters.
Specifically, for example, the intelligent laundry system calls a 3-display efficient laundry mode module, transfers the laundry parameters such as the rinsing times, the water level, the dehydration rotation speed and the drying heat supply amount obtained by matching to the current laundry device, and controls the current laundry device to uniformly display the laundry parameters to the user through a preset display panel, but when detecting that the user triggers an adjustment instruction for adjusting the displayed laundry parameters based on an 'adjustment' command frame preset by the display panel, immediately receives the laundry parameters such as the new rinsing times, the new water level, the new dehydration rotation speed and/or the new drying heat supply amount input by the user for the laundry parameters, and then controls the current laundry device to run a primarily determined large laundry mode according to the laundry parameters such as the new rinsing times, the new water level, the new dehydration rotation speed and/or the new drying heat supply amount input by the user, to wash the laundry put in by the user.
In this embodiment, after the intelligent laundry system matches the laundry device and determines the laundry parameters that can be used when the laundry device washes the laundry to be cleaned in the large laundry mode or the air laundry mode, the intelligent laundry system displays the determined large laundry mode or the air laundry mode and the matched laundry parameter output to the user for the user to view and feed back the execution instruction indicating the operation of the laundry device based on the displayed laundry parameter, after the intelligent laundry system outputs and displays the laundry parameter to the user, the execution instruction indicating the operation of the laundry device fed back by the user based on the displayed laundry parameter is obtained, and then the laundry device is controlled to operate to clean the laundry according to the final laundry parameter determined by the execution instruction.
Realized, demonstrate the laundry parameter of automatic determination towards the user for the user knows to final laundry parameter automatic operation based on user's affirmation is in order to wash the clothing, has ensured to treat each laundry parameter of wasing the clothing automatic determination for the laundry equipment washing, for can enough guaranteeing the cleaning performance, can not cause the extravagant parameter of extra water and electricity resource again, has promoted the intelligence and the high efficiency that the laundry equipment washd the clothing.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a laundry program based on an intelligent laundry system is stored, and when the laundry program based on the intelligent laundry system is executed by a processor, the steps of the laundry method based on the intelligent laundry system as described above are implemented.
The specific implementation of the computer-readable storage medium of the present invention may refer to the above embodiments of the laundry method based on the intelligent laundry system, and will not be described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a display terminal device (e.g., a television, a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A clothes washing method based on an intelligent clothes washing system is characterized by comprising the following steps:
acquiring a first garment data set of a garment to be cleaned;
determining a preset washing mode corresponding to the first clothes data set according to the first clothes data set;
determining a laundry parameter according to the preset laundry mode and the first laundry data set;
and controlling a preset washing device to clean the clothes to be cleaned according to the preset washing mode and the washing parameters.
2. The intelligent laundry system-based laundry method according to claim 1, wherein after the step of controlling a preset laundry device to wash the laundry according to the preset laundry mode and the laundry parameter, the method further comprises:
generating a self-defined washing mode and a self-defined washing parameter according to the preset washing mode and the washing parameter;
after a cleaning instruction for cleaning new clothes to be cleaned is received, if a second clothes data set of the new clothes to be cleaned is the same as the first clothes data set, the preset clothes washing equipment is controlled to clean the new clothes to be cleaned according to the user-defined clothes washing mode and the user-defined clothes washing parameters.
3. A laundry washing method based on an intelligent laundry system according to claim 1, wherein the first laundry data set includes a quantity of laundry and a weight of laundry, and the step of determining the preset laundry mode corresponding to the first laundry data includes:
if the number of the clothes is smaller than or equal to a preset number threshold value and the weight of the clothes is larger than a preset weight threshold value, determining that the preset washing mode is a major washing mode;
and if the number of the clothes is larger than the preset number threshold value and the weight of the clothes is smaller than or equal to the preset weight threshold value, determining that the preset washing mode is an air washing mode.
4. A laundry method based on an intelligent laundry system according to claim 3, wherein the laundry parameters include rinsing times, water level, spinning speed and drying heat supply amount, and the step of determining the laundry parameters according to the preset laundry mode and the first laundry data set includes:
determining the rinsing times and the water level according to the first laundry data set;
and matching the dehydration rotation speed and the drying heat supply amount from preset cloud data according to the preset washing mode and the quantity of the clothes.
5. A laundry washing method based on an intelligent laundry system according to claim 4, wherein the first laundry data set further includes a laundry volume, and the step of determining the rinsing times and the water level according to the first laundry data set includes:
determining the rinsing times as the laundry amount;
if the volume of the clothes is larger than a preset volume threshold value, determining that the water level is a first water level, and if the volume of the clothes is smaller than or equal to the preset volume threshold value, determining that the water level is a second water level, wherein the first water level is larger than the second water level.
6. The smart laundry system-based laundry method according to claim 4, wherein the matching of the dehydration rotation speed and the drying heat supply amount from preset cloud data according to the preset laundry pattern and the laundry amount comprises:
matching the initial dehydration rotating speed and the initial drying heat supply amount corresponding to the quantity of the clothes under the preset clothes washing model from the preset cloud data;
and averaging the dehydration initial rotation speed and the drying initial heat supply amount respectively to obtain the dehydration rotation speed and the drying heat supply amount.
7. A laundry method based on an intelligent laundry system according to claim 1, wherein the step of controlling a preset laundry device to wash the laundry according to the preset laundry mode and the laundry parameter comprises:
displaying the preset washing mode and the washing parameters, and receiving an execution instruction;
and controlling the preset washing equipment to clean the clothes to be cleaned according to the execution instruction.
8. A laundry method based on an intelligent laundry system according to claim 7, wherein the execution instruction includes a confirmation instruction and an adjustment instruction, and the step of controlling the preset laundry device to clean the laundry according to the execution instruction includes:
if the execution instruction is a confirmation instruction, controlling the preset washing equipment to wash the clothes to be washed according to the preset washing mode and the washing parameters;
and if the execution instruction is an adjustment instruction, reading the adjusted washing parameters carried by the adjustment instruction, and controlling the preset washing equipment to wash the clothes to be washed according to the preset washing mode and the adjusted washing parameters.
9. A terminal device, the terminal device comprising: a memory, a processor and a washing program based on the intelligent washing system stored in the memory and capable of running on the processor, wherein the washing program based on the intelligent washing system realizes the steps of the washing method based on the intelligent washing system according to any one of claims 1 to 8 when being executed by the processor.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores thereon a smart laundry system based laundry program, which when executed by a processor, implements the steps of the smart laundry system based laundry method according to any one of claims 1 to 8.
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| CN202010498332.2A CN112342737A (en) | 2020-06-03 | 2020-06-03 | Clothes washing method based on intelligent clothes washing system, terminal device and storage medium |
| PCT/CN2021/105083 WO2021244668A1 (en) | 2020-06-03 | 2021-07-07 | Smart clothes washing system-based clothes washing method, terminal device, and storage medium |
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| CN202010498332.2A CN112342737A (en) | 2020-06-03 | 2020-06-03 | Clothes washing method based on intelligent clothes washing system, terminal device and storage medium |
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| CN113699741A (en) * | 2021-10-09 | 2021-11-26 | 杭州数值科技有限公司 | Washing machine control method and system based on cloud rule |
| WO2021244668A1 (en) * | 2020-06-03 | 2021-12-09 | 深圳Tcl新技术有限公司 | Smart clothes washing system-based clothes washing method, terminal device, and storage medium |
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