CN115613273A - Method and device for recommending detergent - Google Patents

Method and device for recommending detergent Download PDF

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Publication number
CN115613273A
CN115613273A CN202110800839.3A CN202110800839A CN115613273A CN 115613273 A CN115613273 A CN 115613273A CN 202110800839 A CN202110800839 A CN 202110800839A CN 115613273 A CN115613273 A CN 115613273A
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CN
China
Prior art keywords
washing
data information
detergent
clothes
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110800839.3A
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Chinese (zh)
Inventor
张胜男
许升
刘鹏达
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qingdao Haier Washing Machine Co Ltd
Haier Smart Home Co Ltd
Original Assignee
Qingdao Haier Washing Machine Co Ltd
Haier Smart Home Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Qingdao Haier Washing Machine Co Ltd, Haier Smart Home Co Ltd filed Critical Qingdao Haier Washing Machine Co Ltd
Priority to CN202110800839.3A priority Critical patent/CN115613273A/en
Publication of CN115613273A publication Critical patent/CN115613273A/en
Pending legal-status Critical Current

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    • DTEXTILES; PAPER
    • D06TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06FLAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F33/00Control of operations performed in washing machines or washer-dryers 
    • D06F33/30Control of washing machines characterised by the purpose or target of the control 
    • D06F33/32Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
    • D06F33/37Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of metering of detergents or additives
    • DTEXTILES; PAPER
    • D06TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06FLAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F2103/00Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
    • D06F2103/02Characteristics of laundry or load
    • DTEXTILES; PAPER
    • D06TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06FLAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F2103/00Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
    • D06F2103/02Characteristics of laundry or load
    • D06F2103/06Type or material
    • DTEXTILES; PAPER
    • D06TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06FLAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F2103/00Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
    • D06F2103/20Washing liquid condition, e.g. turbidity
    • DTEXTILES; PAPER
    • D06TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06FLAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F2105/00Systems or parameters controlled or affected by the control systems of washing machines, washer-dryers or laundry dryers
    • D06F2105/42Detergent or additive supply

Abstract

The invention discloses a method and a device for recommending detergent, wherein the method is executed on a cloud server or an intelligent terminal, and comprises the following steps: acquiring first data information of clothes to be washed and second data information of a detergent before a washing process is started; acquiring a maximum turbidity value, a minimum turbidity value and a turbidity change range of the washing water in the washing process, and generating washing effect evaluation data of the detergent with the second data information on the clothes with the first data information according to the maximum turbidity value, the minimum turbidity value and the turbidity change range of the washing water; after the washing process is finished, generating a recommendation index of the detergent with the second data information relative to the clothes with the first data information according to the washing effect evaluation data; recommending detergents to the user based on the recommendation index. The method generates data for evaluating the washing effect of the detergent on the clothes by acquiring the turbidity information of the washing water in the washing process, and recommends the detergent to a user according to the data of the washing effect.

Description

Method and device for recommending detergent
Technical Field
The invention belongs to the technical field of intelligent control, and particularly relates to a method and a device for recommending a detergent.
Background
At present, the detergents on the market are various in types, and various functional common laundry detergents, green and environment-friendly phosphorus-free laundry detergents and antibacterial laundry detergents are available, and in addition, the detergents are different from concentrated and non-concentrated laundry detergents. When users choose, the users can only buy according to the introduction prompt on the outer package, and the amount and the specific washing effect which need to be put in during washing are not clear concepts. The laundry detergent is selected and purchased with low quality, cannot be washed cleanly, or the clothes are damaged.
The present invention has been made in view of this situation.
Disclosure of Invention
The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art, and provide a method for recommending detergent, which generates data for evaluating the washing effect of detergent on clothes by obtaining the turbidity information of washing water in the washing process, and recommends detergent to a user according to the data of the washing effect.
Another object of the present invention is to provide a device for recommending detergents for carrying out the above method.
In order to solve the technical problems, the invention adopts the technical scheme that:
a method for recommending detergents is executed on a cloud server or an intelligent terminal and comprises the following steps:
acquiring first data information of clothes to be washed and second data information of a detergent before the washing process is started;
acquiring a maximum turbidity value, a minimum turbidity value and a turbidity change range of the washing water in the washing process, and generating washing effect evaluation data of the detergent with the second data information on the clothes with the first data information according to the maximum turbidity value, the minimum turbidity value and the turbidity change range of the washing water;
after the washing process is finished, generating a recommendation index of the detergent with the second data information relative to the clothes with the first data information according to the washing effect evaluation data;
recommending detergents to the user based on the recommendation index.
Further, the method also comprises the following steps:
acquiring the ion concentration of a decontaminating ion component in washing water in a washing process;
and after the washing process is finished, generating washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the ion concentration.
Further, the method also comprises the following steps:
acquiring the change values of the dirt degree of a washing barrel of the clothes treatment equipment before the washing process is started and after the washing process is finished;
and after the washing process is finished, combining the dirty degree change value to generate washing effect evaluation data of the detergent with the second data information to the clothes with the first data information.
Further, the method also comprises the following steps:
acquiring washing parameters of the clothes treatment equipment in a washing process;
and after the washing process is finished, generating washing effect evaluation data of the detergent with the second data information to the clothes with the first data information by combining the washing parameters.
Further, the method also comprises the following steps:
acquiring a machine model of the clothes treatment equipment;
and after the washing process is finished, generating washing effect evaluation data of the detergent with the second data information to the clothes with the first data information by combining the machine model.
Further, in the above-mentioned case,
the first data information includes: the type of clothing and/or the colour of clothing and/or the material of clothing and/or the type of soiling;
the second data information includes: detergent brand and/or detergent strength and/or detergent functional characteristics and/or detergent price.
A device for recommending detergent, which executes the method for recommending detergent, comprises:
a first acquiring unit configured to acquire the first data information;
a second obtaining unit configured to obtain the second data information;
the third acquisition unit is used for acquiring the maximum value and the minimum value of the turbidity in the washing process;
a processing unit for generating the washing effect evaluation data of the detergent with the second data information to the clothes with the first data information according to the maximum turbidity value, the minimum turbidity value and the turbidity change range of the washing water, and generating the recommendation index of the detergent with the second data information relative to the clothes with the first data information according to the washing effect evaluation data.
Further, the method also comprises the following steps:
and the fourth acquisition unit is used for acquiring the ion concentration of the dirt-removing ion component in the washing water in the washing process and sending the ion concentration to the processing unit so that the processing unit generates the washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the ion concentration.
Further, the method also comprises the following steps:
and the fifth acquisition unit is used for acquiring the dirty degree change value of the washing barrel of the clothes treatment equipment before the washing process is started and after the washing process is finished, and sending the dirty degree change value of the washing barrel to the processing unit, so that the processing unit generates the washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the dirty degree change value of the washing barrel.
Further, the method also comprises the following steps:
a sixth obtaining unit, configured to obtain a washing parameter of the laundry processing apparatus during a washing process, and send the washing parameter to the processing unit, so that the processing unit generates, in combination with the washing parameter, washing effect evaluation data of the detergent with the second data information on the laundry with the first data information;
preferably, the method further comprises the following steps:
and the seventh acquisition unit is used for acquiring the machine model of the clothes treatment equipment and sending the machine model to the processing unit so as to enable the processing unit to generate washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the machine model.
After the technical scheme is adopted, compared with the prior art, the invention has the following beneficial effects.
The invention utilizes the fact that a user collects clothes information, detergent information, dirt information of a washing effect and the like to the cloud server when washing clothes, the cloud server analyzes the washing effects of different kinds of clothes under different detergents by analyzing different clothes, screens out the detergent corresponding to the best washing effect, and then intelligently recommends the detergent corresponding to the user when the user washes the clothes so as to achieve the purpose of the best washing effect.
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention, are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention without limiting the invention to the right. It is obvious that the drawings in the following description are only some embodiments, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 is a schematic diagram of a proposed detergent process of the present invention;
FIG. 2 is a schematic diagram of a method for recommending detergents in some embodiments of the present invention;
FIG. 3 is a schematic diagram of a preferred detergent dispenser according to the present invention.
It should be noted that the drawings and the description are not intended to limit the scope of the inventive concept in any way, but to illustrate it by a person skilled in the art with reference to specific embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and the following embodiments are used for illustrating the present invention and are not intended to limit the scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
As shown in fig. 1 to 3, the present invention provides a method and an apparatus for recommending a detergent, where the method for recommending a detergent is executed on a cloud server or a smart terminal, and the smart terminal is a smart phone, a tablet, or the like.
As shown in fig. 1, the method of recommending detergents includes the steps of:
acquiring first data information of clothes to be washed and second data information of a detergent before a washing process is started;
acquiring a maximum turbidity value, a minimum turbidity value and a turbidity change range of the washing water in the washing process, and generating washing effect evaluation data of the detergent with the second data information on the clothes with the first data information according to the maximum turbidity value, the minimum turbidity value and the turbidity change range of the washing water;
after the washing process is finished, generating a recommendation index of the detergent with the second data information relative to the clothes with the first data information according to the washing effect evaluation data;
recommending detergents to the user based on the recommendation index.
In the scheme, a large number of users registered on the cloud server gather clothes information, detergent information, dirty information of washing effects and the like to the cloud server when washing clothes, the cloud server analyzes the washing effects of different kinds of clothes under different detergents by analyzing the clothes, the detergents corresponding to the best washing effects are screened out, and then the detergents corresponding to the users are intelligently recommended to the users when the users wash the clothes, so that the purpose of the best washing effects is achieved. The method comprises the steps of obtaining turbidity information of washing water in a washing process to generate data for evaluating the washing effect of detergent on clothes, and recommending the detergent to a user according to the data of the washing effect.
The specific implementation process is that when a first user uses a detergent with second data information to wash clothes to be washed with the first data information, the first data information and the second data information are uploaded to a cloud server or an intelligent terminal. The above process may be performed by an APP of the smart terminal, or may be performed by a laundry processing device that performs a washing process, which is not limited in the present invention.
The laundry treating apparatus has a turbidity detecting unit capable of detecting turbidity of washing water and a change in turbidity throughout washing. The turbidity detection unit uploads turbidity information to a cloud server or an intelligent terminal after detecting the turbidity of washing water in the whole washing process, and the cloud server or the intelligent terminal screens out a turbidity maximum value, a turbidity minimum value and a turbidity change range from a large amount of data. And calculating the washing effect evaluation data of the washing agent with the second data information to the clothes with the first data information according to the turbidity information.
For example, for the clothes to be washed, which are made of cotton, white and stained with milk stains, the first user washes the clothes to be washed by using the detergent a, and in the washing process, the turbidity detection unit obtains that the highest turbidity of the washing water is 8 and the lowest turbidity is 2, so that the washing effect evaluation data obtained by the cloud server is that the detergent a can wash the clothes made of cotton, white and stained with milk stains from the highest turbidity of 8 to the lowest turbidity of 2. And the second user washes the clothes to be washed by using the detergent B, and in the washing process, the highest turbidity of the washing water obtained by the turbidity detection unit is 8, and the lowest turbidity of the washing water is 3, so that the washing effect evaluation data obtained by the cloud server is that the detergent A can wash the cotton clothes, white clothes and clothes stained with milk stains from the highest turbidity of 8 to the lowest turbidity of 3. Therefore, for the clothes to be washed, which are made of cotton, white and stained with milk stains, generated by the cloud server, the recommendation index of the detergent B is lower than that of the detergent a.
After that, when the first user or other users such as the second user and the third user upload the characteristics of the laundry to the cloud server, and the laundry is characterized by being made of cotton, white and stained with milk stain, the cloud server recommends the use of the detergent a for washing to the second user or other users such as the third user.
It should be noted that, in the implementation process, the inventive concept of the present invention is described by taking the data of two users as an example, and in an actual process, there are many registered users on the cloud server, so that the cloud server can obtain many data, and then analyze the data, and finally give an optimal recommendation scheme.
In some embodiments of the invention, the method of recommending detergents further comprises the steps of: acquiring the ion concentration of a decontaminating ion component in washing water in a washing process; and after the washing process is finished, generating washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the ion concentration.
In detail, the clothes treatment equipment is also provided with an ion sensor for detecting the ion concentration of various decontaminating ions of the detergent in the washing water in the washing process, so that the cloud server can obtain the components of the detergent, and more importantly, the cloud server can obtain the ion concentration of various decontaminating ions in the washing process.
Specifically, for the clothes processing device without the function of automatically putting in the detergent, the user needs to manually put in the detergent into the washing tub, and the clothes processing device cannot count the washing amount put in by the user, so that the accuracy of the washing effect evaluation process of the cloud server between the detergent with the second data information and the clothes with the first data information is low, and the accuracy of recommendation of the detergent is affected.
Based on this, in this embodiment, the cloud server further obtains the ion concentration of the detersive ion component in the washing water during the washing process, and then combines the ion concentration with the maximum turbidity value, the minimum turbidity value and the turbidity variation range of the washing water when generating the washing effect evaluation data of the detergent with the second data information on the clothes with the first data information, so as to improve the accuracy of the washing effect evaluation data.
In some embodiments of the invention, the method of recommending detergents further comprises the steps of: acquiring the change values of the dirt degree of a washing barrel of the clothes treatment equipment before the washing process is started and after the washing process is finished; and after the washing process is finished, combining the dirty degree change value to generate washing effect evaluation data of the detergent with the second data information to the clothes with the first data information.
For the clothes treatment equipment with the outer barrel for containing water and the inner barrel for dewatering, dirt and dirt are often stored between the inner barrel and the outer barrel after the clothes treatment equipment is used for a long time, and the factors are also important factors influencing the clothes washing effect.
In this embodiment, the cloud server further obtains a variation value of a degree of soiling of a washing tub of the laundry processing apparatus before a washing process is started and after the washing process is ended, and then combines the ion concentration with a maximum value of turbidity, a minimum value of turbidity, and a variation value of the degree of soiling of the washing water when generating the washing effect evaluation data of the detergent with the second data information on the laundry with the first data information, thereby improving the accuracy of the washing effect evaluation data.
In some embodiments of the invention, the method of recommending detergents further comprises the steps of: acquiring washing parameters of the clothes treatment equipment in a washing process; and after the washing process is finished, generating washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the washing parameters.
The washing parameters during the washing process are also important parameters affecting the washing effect, such as the rotating speed, the temperature, the rinsing times, and the like.
In this embodiment, the cloud server further obtains the washing parameters of the laundry processing device in the washing process, and then combines the ion concentration, the maximum turbidity value and the minimum turbidity value of the washing water and the washing parameters of the laundry processing device in the washing process when generating the washing effect evaluation data of the detergent with the second data information on the laundry with the first data information, so as to improve the accuracy of the washing effect evaluation data.
In some embodiments of the invention, the method of recommending detergents further comprises the steps of: acquiring a machine model of the clothes treatment equipment; and after the washing process is finished, generating washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the machine model.
Different machine forms, such as a drum or a pulsator, have different washing effects on laundry, and therefore, characteristics of the laundry treatment apparatus itself are important parameters affecting the washing effects.
In this embodiment, the cloud server further obtains a machine model of the laundry processing device, and then combines the ion concentration, the maximum turbidity value and the minimum turbidity value of the washing water and the machine model of the laundry processing device when generating the washing effect evaluation data of the detergent with the second data information on the laundry with the first data information, so as to improve the accuracy of the washing effect evaluation data.
In addition, when recommending detergent to a user, recommendation information generated from data of other users consistent with the machine model can be preferentially recommended according to the model of the clothes treatment device bound by the user.
It should be noted that, the above process of describing the method for recommending detergent is described as being performed in the cloud server, but the method for recommending detergent may also be performed in various intelligent terminals.
In summary, as shown in fig. 2, in the method for recommending a detergent according to the present invention, based on the maximum value, the minimum value and the variation range of the turbidity of the washing water during the washing process, the ion concentration of the detergent ion component in the washing water during the washing process, and/or the variation value of the degree of contamination of the washing tub of the laundry treatment apparatus before the washing process is started and after the washing process is ended, and/or the washing parameters of the laundry treatment apparatus during the washing process, and/or the machine model of the laundry treatment apparatus are combined when generating the washing effect evaluation data of the detergent having the second data information on the laundry having the first data information.
The recommendation index reliability of the detergent with the second data information generated according to the washing effect evaluation data is higher and the accuracy is higher compared with the recommendation index reliability of the clothes with the first data information, and the detergent with the second data information is more in line with the actual situation of the user.
The first data information includes: laundry type and/or laundry color and/or laundry material and/or stain type.
The second data information includes: detergent brand and/or detergent strength and/or detergent functional characteristics and/or detergent price.
The device for recommending the detergent executes the method for recommending the detergent, and the device can be a cloud server and can also be an intelligent terminal, such as a smart phone, an IPAD and other devices.
As shown in fig. 3, the apparatus for recommending detergent includes:
a first acquiring unit configured to acquire the first data information;
a second obtaining unit configured to obtain the second data information;
the third acquisition unit is used for acquiring the maximum value and the minimum value of the turbidity in the washing process;
and a processing unit for generating washing effect evaluation data of the detergent with the second data information to the laundry with the first data information according to a maximum turbidity value, a minimum turbidity value and a turbidity change range of the washing water, and generating a recommendation index of the detergent with the second data information to the laundry with the first data information according to the washing effect evaluation data.
The apparatus for recommending detergents further includes: and the fourth acquisition unit is used for acquiring the ion concentration of the dirt-removing ion component in the washing water in the washing process and sending the ion concentration to the processing unit so that the processing unit generates the washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the ion concentration.
The apparatus for recommending detergents further includes: and the fifth acquisition unit is used for acquiring the dirty degree change value of the washing barrel of the clothes treatment equipment before the washing process is started and after the washing process is finished, and sending the dirty degree change value of the washing barrel to the processing unit, so that the processing unit generates the washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the dirty degree change value of the washing barrel.
The apparatus for recommending detergents further includes: a sixth obtaining unit, configured to obtain a washing parameter of the laundry processing apparatus during a washing process, and send the washing parameter to the processing unit, so that the processing unit generates, in combination with the washing parameter, washing effect evaluation data of the detergent with the second data information on the laundry with the first data information.
The apparatus for recommending detergents further includes: and the seventh acquisition unit is used for acquiring the machine model of the clothes treatment equipment and sending the machine model to the processing unit so as to enable the processing unit to generate washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the machine model.
The implementation process can be referred to the recommended detergent method, and is not described herein.
It should be noted that, regardless of whether the device recommending the detergent is a cloud server or an intelligent terminal, data communication with the laundry processing device should be necessarily possible.
The first acquisition unit can be a camera of the intelligent terminal, and the camera acquires the clothes characteristics through an image recognition technology after acquiring the pictures of the clothes and uploads the pictures to the processing unit.
The first obtaining unit may be an input module editable by a user, and the user observes the characteristics of the laundry to be washed and manually inputs information to obtain the characteristics of the laundry.
The second obtains the camera that the unit can be intelligent terminal like the same, and the camera scans information such as the two-dimensional code on the body of detergent and uploads information to the processing unit. Or the second obtaining unit is a near field identification module, a near field chip is arranged on the detergent bottle, detergent information is stored in the near field chip, and second data information of the detergent is obtained by a method of identifying the near field chip through the near field identification module.
The third acquisition unit is in communication connection with the clothes treatment equipment to acquire the maximum turbidity value and the minimum turbidity value in the washing process detected by the turbidity detection unit arranged on the clothes treatment equipment, and then uploads the maximum turbidity value and the minimum turbidity value to the treatment unit.
The fourth acquisition unit is in communication connection with the clothes treatment equipment to acquire the ion concentration of the decontaminating ion component in the washing water in the washing process detected by an ion sensor arranged on the clothes treatment equipment, and then the ion concentration of the decontaminating ion component is uploaded to the treatment unit.
The fifth acquisition unit is in communication connection with the clothes treatment equipment to acquire the change values of the dirt degree of the washing barrel of the clothes treatment equipment before the washing process is started and after the washing process is finished, which are detected by the dirt degree sensor arranged on the clothes treatment equipment, and then the change values of the dirt degree of the washing barrel are uploaded to the processing unit.
The sixth obtaining unit obtains washing parameters of the laundry treating apparatus during a washing process through communication connection with the laundry treating apparatus.
The seventh obtaining unit may directly call the machine model input by the user in the account binding process, or may obtain the machine model through communication connection with the laundry processing device.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A method for recommending detergents is executed on a cloud server or an intelligent terminal, and comprises the following steps:
acquiring first data information of clothes to be washed and second data information of a detergent before the washing process is started;
acquiring a maximum turbidity value, a minimum turbidity value and a turbidity change range of the washing water in the washing process, and generating washing effect evaluation data of the detergent with the second data information on the clothes with the first data information according to the maximum turbidity value, the minimum turbidity value and the turbidity change range of the washing water;
after the washing process is finished, generating a recommendation index of the detergent with the second data information relative to the clothes with the first data information according to the washing effect evaluation data;
recommending detergents to the user based on the recommendation index.
2. The method of claim 1, further comprising the steps of:
acquiring the ion concentration of a decontamination ion component in washing water in a washing process;
and after the washing process is finished, generating washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the ion concentration.
3. A method of recommending detergents according to claim 1 or 2, characterized by the further steps of:
acquiring the change values of the dirt degree of a washing barrel of the clothes treatment equipment before the washing process is started and after the washing process is finished;
and after the washing process is finished, combining the dirty degree change value to generate washing effect evaluation data of the detergent with the second data information to the clothes with the first data information.
4. A method of recommending detergents according to any of claims 1-3, characterized by the further steps of:
acquiring washing parameters of the clothes treatment equipment in a washing process;
and after the washing process is finished, generating washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the washing parameters.
5. The method for recommending detergents according to any of claims 1-4, further comprising the steps of:
acquiring a machine model of the clothes treatment equipment;
and after the washing process is finished, generating washing effect evaluation data of the detergent with the second data information to the clothes with the first data information by combining the machine model.
6. A method of recommending detergents according to any of claims 1-5,
the first data information includes: the type of clothing and/or the colour of clothing and/or the material of clothing and/or the type of soiling;
the second data information includes: detergent brand and/or detergent strength and/or detergent functional characteristics and/or detergent price.
7. An apparatus for recommending detergent, which performs the method for recommending detergent according to any of claims 1-6, comprising:
a first acquisition unit configured to acquire the first data information;
a second obtaining unit configured to obtain the second data information;
the third acquisition unit is used for acquiring the maximum value and the minimum value of the turbidity in the washing process;
and a processing unit for generating washing effect evaluation data of the detergent with the second data information to the laundry with the first data information according to a maximum turbidity value, a minimum turbidity value and a turbidity change range of the washing water, and generating a recommendation index of the detergent with the second data information to the laundry with the first data information according to the washing effect evaluation data.
8. The apparatus for recommending detergents according to claim 7, further comprising:
and the fourth acquisition unit is used for acquiring the ion concentration of the dirt-removing ion component in the washing water in the washing process and sending the ion concentration to the processing unit so that the processing unit generates the washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the ion concentration.
9. The apparatus for recommending detergents according to claim 8, further comprising:
and the fifth acquisition unit is used for acquiring the dirty degree change value of the washing barrel of the clothes treatment equipment before the washing process is started and after the washing process is finished, and sending the dirty degree change value of the washing barrel to the processing unit, so that the processing unit generates the washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the dirty degree change value of the washing barrel.
10. The apparatus for recommending detergents according to claim 8, further comprising:
a sixth obtaining unit, configured to obtain a washing parameter of the laundry processing apparatus during a washing process, and send the washing parameter to the processing unit, so that the processing unit generates, in combination with the washing parameter, washing effect evaluation data of the detergent with the second data information on the laundry with the first data information;
preferably, the method further comprises the following steps:
and the seventh acquisition unit is used for acquiring the machine model of the clothes treatment equipment and sending the machine model to the processing unit so as to enable the processing unit to generate washing effect evaluation data of the detergent with the second data information on the clothes with the first data information by combining the machine model.
CN202110800839.3A 2021-07-15 2021-07-15 Method and device for recommending detergent Pending CN115613273A (en)

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