CN114000307A - Intelligent washing machine control method based on material - Google Patents
Intelligent washing machine control method based on material Download PDFInfo
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- CN114000307A CN114000307A CN202111475333.6A CN202111475333A CN114000307A CN 114000307 A CN114000307 A CN 114000307A CN 202111475333 A CN202111475333 A CN 202111475333A CN 114000307 A CN114000307 A CN 114000307A
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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
- D06F33/30—Control of washing machines characterised by the purpose or target of the control
- D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
- D06F33/34—Control of 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
- D06F33/00—Control of operations performed in washing machines or washer-dryers
- D06F33/30—Control of washing machines characterised by the purpose or target of the control
- D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
- D06F33/36—Control of 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
- D06F33/30—Control of washing machines characterised by the purpose or target of the control
- D06F33/46—Control of the energy or water consumption
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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
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/14—Arrangements for detecting or measuring specific parameters
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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
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/14—Arrangements for detecting or measuring specific parameters
- D06F34/18—Condition of the laundry, e.g. nature or weight
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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
- D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
- D06F2103/02—Characteristics of laundry or load
- D06F2103/06—Type or material
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B40/00—Technologies aiming at improving the efficiency of home appliances, e.g. induction cooking or efficient technologies for refrigerators, freezers or dish washers
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- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Control Of Washing Machine And Dryer (AREA)
Abstract
The invention provides a material-based intelligent washing machine control method, which comprises the following steps: after clothes are placed in a drum of an intelligent washing machine, water injection operation is carried out in the drum of the intelligent washing machine, the water absorption coefficient of the clothes is determined, and the material of the clothes is determined according to the water absorption coefficient; acquiring the operating parameters of a plurality of washing machines of the same type from the cloud end through an experimental data acquisition module arranged on the intelligent washing machine, summarizing the operating parameters according to the geographic positions of the washing machines of the same type, and calculating the statistic of the operating parameters corresponding to each address position; acquiring a current geographical position through a geographical position acquisition module arranged on the intelligent washing machine, and setting driving parameters of the intelligent washing machine according to statistics corresponding to the current geographical position and the clothes material; and controlling the washing of the laundry according to the driving parameter. The invention considers the material and the geographical position of the clothes, so that the washing process is more targeted, and the clothes washing is realized.
Description
Technical Field
One or more embodiments of the present disclosure relate to the technical field of intelligent washing machines, and more particularly, to a material-based control method for an intelligent washing machine.
Background
At present, the intelligent level of the washing machine can be integrally improved by combining a big data technology, a cloud control technology and a washing machine technology. However, the home washing machine is not a real intelligent washing machine because the material of the laundry cannot be determined. In the big data era, if the washing machine of clothes material can not be judged, the clothes can not be set for washing, and the aim of saving energy and water can not be achieved because the clothes can not be set for washing.
See patent application No. CN201410605021.6 entitled "system for automatically recommending purchase information for washing machine": the invention discloses a system for automatically recommending purchase information for a washing machine, which comprises a server and the washing machine in a supermarket; the washing machine is provided with a first display module and a sound module; the washing machine is connected with the server through a network; the washing machine monitors the detergent residue in the detergent box; when the detergent in the washing machine is insufficient, the washing machine acquires preferential purchase information in the server and then pushes the preferential purchase information to the first display module and the sound module to remind a user to purchase the detergent; and the user clicks the preferential purchase information on the first display module to directly order and purchase the detergent. Although the invention can remind the user to purchase the preferential detergent in time, the invention is only useful for purchasing information and has no functions of operation and remote interaction.
See patent application No. CN201810008171.7 entitled "control method for clothes treating system": the invention discloses a control method of a clothes treatment system, wherein the clothes treatment system comprises a washing device, an identification device and a control device, after a plurality of clothes are classified, the plurality of clothes belonging to the same group are packed and a common group identification mark is arranged; the control method comprises the following steps: the identification device reads the group identification mark, the control device analyzes the clothes information corresponding to the group identification mark, and recommends a corresponding washing program according to the clothes information, and the washing device executes the washing program. According to the invention, the classified clothes in the same group are provided with the group of the identification marks, the identification device can obtain the information of the group of clothes only by identifying the clothes information corresponding to the group of the identification marks, and a corresponding washing program is recommended, so that the storage and washing of a large amount of clothes are facilitated; the method can save identification marks, reduce cost and improve efficiency. The technical scheme disclosed by the method can not carry out interaction and intelligent operation, has no method for calculating the material of clothes, and has no control method for updating the driving parameters of the washing machine according to the material.
Disclosure of Invention
One or more embodiments of the present specification describe a material-based intelligent washing machine control method.
The embodiment of the invention provides a material-based intelligent washing machine control method, which comprises the following steps:
after clothes are placed in a drum of an intelligent washing machine, water injection operation is carried out in the drum of the intelligent washing machine, the water absorption coefficient of the clothes is determined, and the material of the clothes is determined according to the water absorption coefficient;
acquiring the operating parameters of a plurality of washing machines of the same type from the cloud end through an experimental data acquisition module arranged on the intelligent washing machine, summarizing the operating parameters according to the geographic positions of the washing machines of the same type, calculating the statistic of each operating parameter corresponding to each address position, and uploading the statistic to the cloud end;
acquiring a current geographic position through a geographic position acquisition module arranged on an intelligent washing machine, setting driving parameters of the intelligent washing machine according to statistics corresponding to the current geographic position and the clothes material, storing and solidifying the statistics corresponding to the current geographic position and the driving parameters corresponding to the clothes material, and uploading the driving parameters to a cloud;
and controlling the washing of the laundry according to the driving parameter.
The material-based intelligent washing machine control method provided by the embodiment of the specification comprises the steps of firstly determining the material of clothes, then setting the driving parameters according to the statistics corresponding to the current geographic position and the material of the clothes, and further controlling the washing process according to the driving parameters. Therefore, in the washing process, the material of the clothes and the geographic position are considered, so that the washing process is more targeted, the washing process is more consistent with the current geographic environment and the material of the clothes, the clothes are washed, the energy and water are saved, and the intelligent level of washing is greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the present specification 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, and it is obvious that the drawings in the following description are some embodiments of the present specification, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart illustrating a material-based intelligent washing machine control method according to an embodiment of the present disclosure.
Detailed Description
The scheme provided by the specification is described below with reference to the accompanying drawings.
The invention provides a material-based intelligent washing machine control method, as shown in figure 1, the method comprises the following steps:
s110, after the clothes are placed in the drum of the intelligent washing machine, water filling operation is carried out in the drum of the intelligent washing machine, the water absorption coefficient of the clothes is determined, and the material of the clothes is determined according to the water absorption coefficient;
the water absorption coefficient is a parameter capable of reflecting the material of clothes, and in order to ensure the uniformity of the material, the clothes made of the same material or the clothes made of the similar material are washed simultaneously as much as possible during washing.
In a specific implementation, the determining a water absorption coefficient of the clothing and determining a material of the clothing according to the water absorption coefficient may include: the method comprises the steps of acquiring the dry weight of clothes before water is injected through a weighing device installed on the intelligent washing machine, acquiring the water injection amount when water in a drum covers the clothes through a water injection amount counting module installed on the intelligent washing machine, acquiring the average running power of the intelligent washing machine through a power acquisition module installed on the intelligent washing machine, acquiring the average rotating speed of the intelligent washing machine through a rotating speed acquisition module installed on the intelligent washing machine, and determining the water absorption coefficient according to the dry weight of the clothes, the average running power and the average rotating speed.
That is, a weighing device is installed in the washing machine, and the laundry put into the drum may be weighed before water is supplied, thereby obtaining a dry weight of the laundry. The washing machine is provided with a power acquisition module which can acquire each running power of the washing machine in a preset historical time period, and further calculate to obtain the average running power. The washing machine is provided with a rotating speed acquisition module which can acquire each rotating speed of the washing machine in a preset historical time period so as to calculate the average rotating speed. And calculating the water absorption coefficient according to the dry weight of the clothes, the average running power and the average rotating speed.
Wherein, the weighing device can be connected with the control module of the washing machine in a wired or wireless way. The wireless connection can be data communication in a WIFI, Bluetooth or ZigBee mode. The cloud has a storage database that stores a large amount of data.
In a specific implementation, the water absorption coefficient may be calculated by using a first formula, and the first formula may include:
in the formula (I), the compound is shown in the specification,
is the average operating power, PeIn order to be the rated operating power,
is said average rotational speed, zmaxAnd the maximum rotating speed is L, the water injection amount is L, the dry weight of the clothes is M, and the water absorption coefficient is X.
It can be understood that, when the water absorption coefficient is calculated, various factors such as the dry weight of the clothes, the average operating power, the rated operating power, the average rotating speed, the maximum rotating speed, the water injection amount and the like of the washing machine are considered, and the water absorption coefficient is calculated according to an actual scene and has a high application value because the factors such as the operating power, the rotating speed and the like can influence the water absorption condition of the clothes in the actual washing process to a certain extent.
In a specific implementation, the determining the material of the clothes according to the water absorption coefficient may include: if the water absorption coefficient is 1x, the clothes are made of chemical fiber materials; if the water absorption coefficient is 5x, the clothes are made of cotton materials; if the water absorption coefficient is 8x, the clothes are made of down feather; wherein x is a preset constant.
That is, the chemical fiber material has the smallest water absorption coefficient, the down feather material has the largest water absorption coefficient, and the cotton material has the middle water absorption coefficient. Of course, in actual washing, the clothes to be washed may be mixed with a plurality of clothes of similar materials, so that the obtained water absorption coefficient may be between the adjacent water absorption coefficients, and the obtained clothes material may also be a mixed material of two or more of the materials. However, in order to perform different washing methods for different materials, the clothes made of the same material are washed at the same time as much as possible.
In a specific implementation, the water injection amount statistic module may include: a water injection amount detection unit and a water level detection unit; in the step, the obtaining of the water injection amount when the water in the drum covers the laundry may include: when the water level detection unit detects that water in the drum covers the clothes, the current corresponding total water injection amount is determined by the water injection amount detection unit. That is, when the water inside the drum covers the laundry, the total water injection amount determined according to the water injection detecting module is used as the water injection amount L in the first formula.
S120, acquiring the operating parameters of a plurality of washing machines of the same type from the cloud end through an experimental data acquisition module arranged on the intelligent washing machine, summarizing the operating parameters according to the geographic positions of the washing machines of the same type, calculating the statistic of the operating parameters corresponding to each address position, and uploading the statistic to the cloud end;
that is to say, the intelligent washing machine is provided with the experimental data acquisition module, and the module can acquire the operation parameters of N washing machines of the same type from the cloud, classify and gather the operation parameters according to the geographical positions of the washing machines, then calculate the statistics of the operation parameters corresponding to each geographical position, such as the average value, the maximum value, the minimum value, the variance, the standard deviation, the probability density value, the expectation value, the median value and the like, and upload the statistics to the cloud for storage.
Wherein, the operation parameters may include motor rotation speed, power, washing time, drying time, etc.
The experimental data acquisition module can communicate with a control module in the washing machine in a wired or wireless mode.
S130, acquiring a current geographic position through a geographic position acquisition module arranged on the intelligent washing machine, setting driving parameters of the intelligent washing machine according to statistics corresponding to the current geographic position and the clothes material, storing and solidifying the statistics corresponding to the current geographic position and the driving parameters corresponding to the clothes material, and uploading the driving parameters to a cloud;
that is to say, install geographical position acquisition module on intelligent washing machine, can acquire washing machine's current geographical position through this module, then obtain the statistics of corresponding operating parameter according to current geographical position, then set up drive parameter according to statistics and clothing material, and then store and solidify the processing to drive parameter, the effect of solidification processing is, can directly adopt these drive parameter that set up before when this washing machine washes the clothing of same material next time, need not confirm drive parameter again, and is more convenient high-efficient. Meanwhile, the driving parameters are uploaded to the cloud for storage.
In other words, the driving parameters can be set according to a large amount of data acquired from the cloud and the material of the clothes, and then the driving parameters are stored, solidified and shared to the cloud.
In a specific implementation, setting the driving parameters of the intelligent washing machine according to the statistics corresponding to the current geographic location and the laundry material may include:
determining corresponding initial driving parameters according to the statistics corresponding to the current geographic position;
adjusting the initial driving parameter according to the clothes material to obtain a target driving parameter, which specifically comprises the following steps: if the clothes are made of chemical fiber materials and cotton, the initial driving parameters are adjusted downwards to obtain the target driving parameters; and if the clothes are made of the down feather material, adjusting the initial driving parameters upwards to obtain the target driving parameters.
That is, according to the statistic of the current geographic location, the initial driving parameters are determined, then the adjustment is performed on the basis of the initial driving parameters according to the clothes material, so as to obtain the final target driving parameters, and here, the driving parameters are adjusted through the clothes parameters, so as to obtain the driving parameters which are more in line with the clothes material for washing the clothes.
The purpose of downward adjustment is to reduce the washing force, that is, downward adjustment of the driving parameter means that the driving parameter is changed to reduce the washing force, and the driving parameter may be increased or decreased. The purpose of the upward adjustment is to increase the washing force. It can be understood that cotton and chemical fiber clothes are lighter and thinner than down clothes, and are more easily decontaminated in the washing process.
And S140, controlling the washing of the clothes according to the driving parameters.
It can be understood that after the driving parameters are determined through S130, the washing of the laundry can be controlled according to the driving parameters, so as to implement the washing of the laundry.
In particular implementation, the controlling of the washing of the laundry according to the driving parameter may include: acquiring corresponding weather conditions according to the current geographical position, wherein the weather conditions comprise temperature, humidity, air cleanliness and/or rainfall; determining corresponding recommended washing time according to the weather conditions; and controlling the washing of the clothes according to the driving parameters at the recommended washing time.
For example, the current weather conditions and the weather conditions of 1-3 days in the future can be obtained according to the current geographical position, whether temperature reduction occurs, whether sand storm occurs, whether rainfall occurs and the like can be obtained according to the current geographical position, whether clothes are suitable for being washed and subsequent airing can be known according to the weather conditions, if the weather conditions of the two days are found to be unsuitable for washing clothes, recommended washing time is provided according to the weather conditions, for example, the clothes are rainy today and clear day, the open day is taken as recommended washing time, and then washing is controlled according to the driving parameters in the open day. For another example, if the weather is continuous in the fei in the overcast and the rainy days and the humidity is high, the user may recommend not to wash the laundry for a while, or the user may select the weather, and may recommend a method of washing laundry and drying laundry.
In particular implementation, the controlling of the washing of the laundry according to the driving parameter may include: determining corresponding washing parameters according to the driving parameters, wherein the washing parameters comprise washing time, a washing method, detergent amount, water consumption of each washing, dehydration time and/or washing temperature; and performing laundry washing control according to the washing parameters.
When the washing process is controlled according to the driving parameters, the corresponding washing parameters are determined according to the driving parameters, and then the washing process is controlled according to the washing parameters. Because the washing parameters comprise specific washing time, washing method, detergent amount, water consumption and the like, the combination of all the washing parameters forms a corresponding washing program, and the current clothes can be washed in a targeted manner.
In specific implementation, the method provided by the invention can further comprise:
s150, shooting clothes before and after washing through a camera device arranged on the intelligent washing machine to obtain a clothes picture, sending the clothes picture and the washing parameters to a cloud end so that the cloud end analyzes a washing result, and sending the washing result to the intelligent washing machine; and adjusting the washing parameters according to the cleaning result.
That is to say, before washing, the camera device mounted on the intelligent washing machine is used for shooting each piece of clothes or at least one piece of clothes, after the washing is completed, the camera device is used for shooting each piece of clothes or at least one piece of clothes, and the pictures of the clothes and the washing parameters before and after the washing are sent to the cloud end, so that the cloud end can analyze the washing result, such as the cleaning degree, and then the washing result is sent to the intelligent washing machine, and then the intelligent washing machine adjusts the washing parameters. For example, if the degree of cleanliness is not satisfactory, the washing time period or the amount of detergent is increased, and the like.
The image pickup device can be a telescopic image pickup device, can move or rotate up, down, left and right, and can shoot images inside the washing barrel and images outside the washing barrel.
In specific implementation, the method provided by the invention can further comprise: after the washing is finished, voice reminding is carried out through a sound module arranged on the intelligent washing machine. Namely, after the washing machine finishes washing, voice reminding can be carried out through the sound module so as to inform a user that the washing is finished currently. That is, a sound module is provided on the washing machine.
Of course, a display module may be provided on the washing machine to display the set driving parameters, washing parameters, and the like.
In a specific implementation, the steps S110 to S140 may be executed by a control module disposed in the washing machine, and the control module is connected to the other modules to complete the steps.
In specific implementation, the intelligent washing machine can communicate with the mobile terminal of the user besides communicating with the cloud, for example, information such as each washing parameter and a washing result is sent to the mobile terminal for the user to know. The washing machine is provided with a geographic position acquisition module which can acquire the current geographic position, and the water absorption coefficient can be determined through a plurality of modules such as a water injection amount counting module, a power acquisition module and a rotating speed acquisition module, so that the material quality of clothes can be determined.
When concrete implementation, the high in the clouds can be saved a plurality of databases, for example, the material database, the water consumption database, the power consumption database, the drive parameter database, each intelligent washing machine can save the material to the material database after the laundry is accomplished, the water yield that the washing process used is saved to the water consumption database, the electric quantity that the washing process used is saved to the power consumption database, the drive parameter of this washing is saved to the drive parameter database, realize carrying out data storage to the washing process from a plurality of dimensions. Of course, the parameters can also be used for selecting the optimal driving parameters to recommend to the washing machine, thereby achieving the purpose of saving electric energy and water.
In specific implementation, a moving device can be arranged on the washing machine, after the washing machine receives a moving instruction, the moving device can drive the washing machine to move to a position close to a required position, the camera device is started to shoot clothes before washing, the clothes are weighed after being placed in the washing barrel, and then the water injection and washing processes are carried out.
The weighing device can adopt one or more weight sensors, the weight sensors give an alarm when sensing that the weight exceeds a certain threshold value, and the weight sensors inform a user of reminding the user to stop continuously putting clothes in, so that the overload work of the washing machine is avoided.
According to the present situation, the geographical conditions vary widely from place to place, and washing machines on the market are very uniform, and their washing programs are the same, whether in Mianyang, Heifeng or Guangzhou, Harbin, or even Dubai. The materials of clothes worn by people in various places are greatly different, for example, in China, the south is humid in air and high in temperature, the clothes worn by people are naturally lighter and thinner, and the north is dry in temperature and low in temperature, and the clothes worn by people are relatively thick and heavy. Most importantly, the water quality varies greatly from place to place (some places in the north where people drink a bitter saline water which is not good in the south), and the same washing parameters necessarily lead to the same washing result.
The device provided by the invention can further comprise a washing machine cover, a water storage barrel, wheels and the like, and also comprises a cleanliness sensor for detecting water in the water storage barrel, a temperature sensor for detecting the temperature of the water in the water storage barrel, a water level acquisition device for acquiring the water level in the water storage barrel, a water quantity acquisition module for detecting the water injection quantity and the like, wherein information acquired by the cleanliness sensor, the temperature sensor, the water level acquisition device, the water quantity acquisition module and the like can be stored in a database for storage.
The mobile terminal comprises a mobile terminal and a plurality of washing machines, wherein the mobile terminal and the mobile terminal can be arranged, information interaction can be carried out between the mobile terminal and the washing machines, a sample data acquisition module, a comparison module and a data pushing module are arranged in the mobile terminal, the sample data acquisition module can acquire related data of the plurality of washing machines, and the comparison module can select and push the sample data which is well represented to the mobile terminal or the washing machines through comparison of the related data of the plurality of washing machines.
The washing machine is provided with a calculation module, and specifically comprises a water injection flow counting module, a power calculation module and a rotating speed control module, wherein the water injection flow counting module is used for counting the water injection flow in the washing process, the rotating speed control module is used for controlling the rotating speed in the washing process, and the power calculation module is used for calculating the power in the washing process.
The water level detecting device comprises a driving parameter updating module, a clothes material judging module, a water quantity obtaining device and a water level detecting unit, wherein the driving parameter updating module is the parameter adjusting unit, the clothes material judging module is the clothes material determining module, and the water quantity obtaining device is the water level detecting unit.
According to the material-based intelligent washing machine control method provided by the embodiment of the invention, firstly, the material of clothes is determined, then, the driving parameters are set according to the statistics corresponding to the current geographic position and the material of the clothes, and then, the washing process is controlled according to the driving parameters. Therefore, in the washing process, the material of the clothes and the geographic position are considered, so that the washing process is more targeted, the washing process is more consistent with the current geographic environment and the material of the clothes, the clothes are washed, the energy and water are saved, and the intelligent level of washing is greatly improved.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in this disclosure may be implemented in hardware, software, hardware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.
Claims (10)
1. A control method of an intelligent washing machine based on materials is characterized by comprising the following steps:
after clothes are placed in a drum of an intelligent washing machine, water injection operation is carried out in the drum of the intelligent washing machine, the water absorption coefficient of the clothes is determined, and the material of the clothes is determined according to the water absorption coefficient;
acquiring the operating parameters of a plurality of washing machines of the same type from the cloud end through an experimental data acquisition module arranged on the intelligent washing machine, summarizing the operating parameters according to the geographic positions of the washing machines of the same type, calculating the statistic of each operating parameter corresponding to each address position, and uploading the statistic to the cloud end;
acquiring a current geographic position through a geographic position acquisition module arranged on an intelligent washing machine, setting driving parameters of the intelligent washing machine according to statistics corresponding to the current geographic position and the clothes material, storing and solidifying the statistics corresponding to the current geographic position and the driving parameters corresponding to the clothes material, and uploading the driving parameters to a cloud;
and controlling the washing of the laundry according to the driving parameter.
2. The method of claim 1, wherein determining the water absorption coefficient of the garment and determining the garment texture based on the water absorption coefficient comprises:
the method comprises the steps of acquiring the dry weight of clothes before water is injected through a weighing device installed on the intelligent washing machine, acquiring the water injection amount when water in a drum covers the clothes through a water injection amount counting module installed on the intelligent washing machine, acquiring the average running power of the intelligent washing machine through a power acquisition module installed on the intelligent washing machine, acquiring the average rotating speed of the intelligent washing machine through a rotating speed acquisition module installed on the intelligent washing machine, and determining the water absorption coefficient according to the dry weight of the clothes, the average running power and the average rotating speed.
3. The method of claim 2, wherein the water absorption coefficient is calculated using a first formula comprising:
in the formula (I), the compound is shown in the specification,
is the average operating power, PeIn order to be the rated operating power,
is said average rotational speed, zmaxAnd the maximum rotating speed is L, the water injection amount is L, the dry weight of the clothes is M, and the water absorption coefficient is X.
4. The method of claim 2, wherein the water injection statistics module comprises: a water injection amount detection unit and a water level detection unit; the acquiring of the water injection amount when the water in the drum covers the clothes comprises: when the water level detection unit detects that water in the drum covers the clothes, the current corresponding total water injection amount is determined by the water injection amount detection unit.
5. The method of claim 1, wherein said determining a garment material from said water absorption coefficient comprises: if the water absorption coefficient is 1x, the clothes are made of chemical fiber materials; if the water absorption coefficient is 5x, the clothes are made of cotton materials; if the water absorption coefficient is 8x, the clothes are made of down feather; wherein x is a preset constant.
6. The method of claim 5, wherein setting the driving parameters of the intelligent washing machine according to the statistics corresponding to the current geographic location and the material of the laundry comprises:
determining corresponding initial driving parameters according to the statistics corresponding to the current geographic position;
adjusting the initial driving parameter according to the clothes material to obtain a target driving parameter, which specifically comprises the following steps: if the clothes are made of chemical fiber materials and cotton, the initial driving parameters are adjusted downwards to obtain the target driving parameters; and if the clothes are made of the down feather material, adjusting the initial driving parameters upwards to obtain the target driving parameters.
7. The method of claim 1, wherein the controlling of the washing of the laundry according to the driving parameter comprises:
acquiring corresponding weather conditions according to the current geographical position, wherein the weather conditions comprise temperature, humidity, air cleanliness and/or rainfall; determining corresponding recommended washing time according to the weather conditions; and controlling the washing of the clothes according to the driving parameters at the recommended washing time.
8. The method of claim 1, wherein the controlling of the washing of the laundry according to the driving parameter comprises:
determining corresponding washing parameters according to the driving parameters, wherein the washing parameters comprise washing time, a washing method, detergent amount, water consumption of each washing, dehydration time and/or washing temperature; and performing laundry washing control according to the washing parameters.
9. The method of claim 8, further comprising:
shooting clothes before and after washing by a camera device arranged on the intelligent washing machine to obtain a clothes picture, and sending the clothes picture and the washing parameters to a cloud end so that the cloud end analyzes a washing result and sends the washing result to the intelligent washing machine;
and adjusting the washing parameters according to the cleaning result.
10. The method of claim 1, further comprising:
after the washing is finished, voice reminding is carried out through a sound module arranged on the intelligent washing machine.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030024056A1 (en) * | 2001-07-31 | 2003-02-06 | Hyung-Sook Kim | Method for controlling washing machine according to absorption characteristics of the laundry |
| CN103485121A (en) * | 2013-06-24 | 2014-01-01 | 无锡小天鹅股份有限公司 | Washing machine and control method thereof |
| CN104746291A (en) * | 2015-03-19 | 2015-07-01 | 无锡小天鹅股份有限公司 | Washing machine, control method thereof and washing machine system |
| WO2016000483A1 (en) * | 2014-06-30 | 2016-01-07 | 无锡小天鹅股份有限公司 | Washing machine and control method therefor as well as method and apparatus for determining material of clothes |
| CN105568621A (en) * | 2016-02-18 | 2016-05-11 | 上海彭港实业发展有限公司 | Intelligent washing device based on big data analysis |
| CN105648701A (en) * | 2016-03-24 | 2016-06-08 | 苏州路之遥科技股份有限公司 | Impeller type washing machine based on internet of things technology |
| CN110512394A (en) * | 2019-07-09 | 2019-11-29 | 青岛海尔滚筒洗衣机有限公司 | The method and washing machine of washing machine identification washings material |
| CN112575534A (en) * | 2020-12-01 | 2021-03-30 | 珠海格力电器股份有限公司 | Washing control method and device of washing machine and washing machine |
-
2021
- 2021-12-06 CN CN202111475333.6A patent/CN114000307B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030024056A1 (en) * | 2001-07-31 | 2003-02-06 | Hyung-Sook Kim | Method for controlling washing machine according to absorption characteristics of the laundry |
| CN103485121A (en) * | 2013-06-24 | 2014-01-01 | 无锡小天鹅股份有限公司 | Washing machine and control method thereof |
| WO2016000483A1 (en) * | 2014-06-30 | 2016-01-07 | 无锡小天鹅股份有限公司 | Washing machine and control method therefor as well as method and apparatus for determining material of clothes |
| CN104746291A (en) * | 2015-03-19 | 2015-07-01 | 无锡小天鹅股份有限公司 | Washing machine, control method thereof and washing machine system |
| CN105568621A (en) * | 2016-02-18 | 2016-05-11 | 上海彭港实业发展有限公司 | Intelligent washing device based on big data analysis |
| CN105648701A (en) * | 2016-03-24 | 2016-06-08 | 苏州路之遥科技股份有限公司 | Impeller type washing machine based on internet of things technology |
| CN110512394A (en) * | 2019-07-09 | 2019-11-29 | 青岛海尔滚筒洗衣机有限公司 | The method and washing machine of washing machine identification washings material |
| CN112575534A (en) * | 2020-12-01 | 2021-03-30 | 珠海格力电器股份有限公司 | Washing control method and device of washing machine and washing machine |
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